Fox And McDonald Introduction To Fluid Mechanics 8th Edition Solution Manual Robert W. Fox, Alan T. Mc Donald, Philip J. Pritchard Manu

User Manual:

Open the PDF directly: View PDF PDF.
Page Count: 2184

DownloadFox And McDonald Introduction To Fluid Mechanics 8th Edition Solution Manual Robert W. Fox, Alan T. Mc Donald, Philip J. Pritchard-Introduction Manu
Open PDF In BrowserView PDF
Problem 1.1

Given:

[Difficulty: 3]

Common Substances
Tar

Sand

“Silly Putty”

Jello

Modeling clay

Toothpaste

Wax

Shaving cream

Some of these substances exhibit characteristics of solids and fluids under different conditions.

Find:

Explain and give examples.

Solution:

Tar, Wax, and Jello behave as solids at room temperature or below at ordinary pressures. At high
pressures or over long periods, they exhibit fluid characteristics. At higher temperatures, all three
liquefy and become viscous fluids.
Modeling clay and silly putty show fluid behavior when sheared slowly. However, they fracture
under suddenly applied stress, which is a characteristic of solids.
Toothpaste behaves as a solid when at rest in the tube. When the tube is squeezed hard, toothpaste
“flows” out the spout, showing fluid behavior. Shaving cream behaves similarly.
Sand acts solid when in repose (a sand “pile”). However, it “flows” from a spout or down a steep
incline.

Problem 1.2

Given:

Five basic conservation laws stated in Section 1-4.

Write:

A word statement of each, as they apply to a system.

Solution:

Assume that laws are to be written for a system.

[Difficulty: 2]

a.

Conservation of mass — The mass of a system is constant by definition.

b.

Newton's second law of motion — The net force acting on a system is directly proportional to the product of the
system mass times its acceleration.

c.

First law of thermodynamics — The change in stored energy of a system equals the net energy added to the
system as heat and work.

d.

Second law of thermodynamics — The entropy of any isolated system cannot decrease during any process
between equilibrium states.

e.

Principle of angular momentum — The net torque acting on a system is equal to the rate of change of angular
momentum of the system.

Problem 1.3

[Difficulty: 3]

Open-Ended Problem Statement: The barrel of a bicycle tire pump becomes quite warm during use.
Explain the mechanisms responsible for the temperature increase.

Discussion: Two phenomena are responsible for the temperature increase: (1) friction between the pump piston
and barrel and (2) temperature rise of the air as it is compressed in the pump barrel.
Friction between the pump piston and barrel converts mechanical energy (force on the piston moving through a
distance) into thermal energy as a result of friction. Lubricating the piston helps to provide a good seal with the
pump barrel and reduces friction (and therefore force) between the piston and barrel.
Temperature of the trapped air rises as it is compressed. The compression is not adiabatic because it occurs during a
finite time interval. Heat is transferred from the warm compressed air in the pump barrel to the cooler surroundings.
This raises the temperature of the barrel, making its outside surface warm (or even hot!) to the touch.

Problem 1.4

[Difficulty: 3]

Open-Ended Problem Statement: Consider the physics of “skipping” a stone across the water surface
of a lake. Compare these mechanisms with a stone as it bounces after being thrown along a roadway.

Discussion: Observation and experience suggest two behaviors when a stone is thrown along a water surface:
1.

If the angle between the path of the stone and the water surface is steep the stone may penetrate the water
surface. Some momentum of the stone will be converted to momentum of the water in the resulting splash.
After penetrating the water surface, the high drag* of the water will slow the stone quickly. Then, because the
stone is heavier than water it will sink.

2.

If the angle between the path of the stone and the water surface is shallow the stone may not penetrate the water
surface. The splash will be smaller than if the stone penetrated the water surface. This will transfer less
momentum to the water, causing less reduction in speed of the stone. The only drag force on the stone will be
from friction on the water surface. The drag will be momentary, causing the stone to lose only a portion of its
kinetic energy. Instead of sinking, the stone may skip off the surface and become airborne again.

When the stone is thrown with speed and angle just right, it may skip several times across the water surface. With
each skip the stone loses some forward speed. After several skips the stone loses enough forward speed to penetrate
the surface and sink into the water.
Observation suggests that the shape of the stone significantly affects skipping. Essentially spherical stones may be
made to skip with considerable effort and skill from the thrower. Flatter, more disc-shaped stones are more likely to
skip, provided they are thrown with the flat surface(s) essentially parallel to the water surface; spin may be used to
stabilize the stone in flight.
By contrast, no stone can ever penetrate the pavement of a roadway. Each collision between stone and roadway will
be inelastic; friction between the road surface and stone will affect the motion of the stone only slightly. Regardless
of the initial angle between the path of the stone and the surface of the roadway, the stone may bounce several times,
then finally it will roll to a stop.
The shape of the stone is unlikely to affect trajectory of bouncing from a roadway significantly.

Problem 1.5

Given:

Dimensions of a room

Find:

Mass of air

[Difficulty: 1]

Solution:
p

Basic equation:

ρ=

Given or available data

p = 14.7psi

Rair⋅ T
T = ( 59 + 460)R

V = 10⋅ ft × 10⋅ ft × 8⋅ ft
Then

ρ =

p
Rair⋅ T

M = ρ⋅ V

ρ = 0.076⋅

Rair = 53.33 ⋅
V = 800⋅ ft

lbm
ft

3

M = 61.2⋅ lbm

ft⋅ lbf
lbm⋅ R

3

ρ = 0.00238⋅

slug
ft

M = 1.90⋅ slug

3

ρ = 1.23

kg
3

m

M = 27.8kg

Problem 1.6

[Difficulty: 1]

Given:

Data on oxygen tank.

Find:

Mass of oxygen.

Solution:

Compute tank volume, and then use oxygen density (Table A.6) to find the mass.

The given or available
data is:

D = 16⋅ ft

p = 1000⋅ psi

RO2 = 48.29 ⋅

ft⋅ lbf
lbm⋅ R

Tc = 279 ⋅ R

so the reduced temperature and pressure are:

TR =

Z = 0.948

T
Tc

= 1.925

Hence

π⋅ D

V =

6

M = V⋅ ρ =

p⋅ V
RO2⋅ T

M = 11910 ⋅ lbm

(data from NIST WebBook)

pR =

p = ρ⋅ RO2⋅ T

3

V=

p c = 725.2 ⋅ psi
p
pc

= 1.379

Since this number is close to 1, we can assume ideal gas behavior.

Therefore, the governing equation is the ideal gas equation

where V is the tank volume

T = 537 ⋅ R

(Table A.6)

For oxygen the critical temperature and pressure are:

Using a compressiblity factor chart:

T = ( 77 + 460 ) ⋅ R

π
6

× ( 16⋅ ft)

M = 1000⋅

ρ=

and

lbf
2

in

3

V = 2144.7⋅ ft

3

× 2144.7⋅ ft ×

1

M
V

3

⋅

lbm⋅ R

48.29 ft⋅ lbf

×

1

⋅

1

537 R

×

⎛ 12⋅ in ⎞
⎜ ft
⎝
⎠

2

Problem 1.7

Given:

[Difficulty: 3]

Small particle accelerating from rest in a fluid. Net weight is W, resisting force FD = kV, where V
is speed.

Find:

Time required to reach 95 percent of terminal speed, Vt.

Solution:

Consider the particle to be a system. Apply Newton's second law.

Basic equation: ∑Fy = may

FD = kV

Assumptions:
1.

W is net weight

2.

Resisting force acts opposite to V

Particle
y

Then

W

∑F

y

= W − kV = ma y = m

dV W dV
=
g dt
dt

or

dV
k
= g(1 − V)
W
dt

Separating variables,

dV
= g dt
k
1− W
V
V

t
dV
W
k
(
)
V
=
−
ln
1
−
=
W
∫0 gdt = gt
k
1 − Wk V

Integrating, noting that velocity is zero initially,

∫

or

kgt
kgt
−
−
⎞
W ⎛⎜
k
W
1 − V = e ; V = ⎜1 − e W ⎟⎟
k ⎝
W
⎠

0

kgt

But V→Vt as t→∞, so Vt =

When

V
Vt

= 0.95 , then e

−

kgt
W

W
k

. Therefore

= 0.05 and

kgt
W

−
V
= 1− e W
Vt

= 3. Thus t = 3W/gk

Problem 1.8

Given:

[Difficulty: 2]

Small particle accelerating from rest in a fluid. Net weight is W,
resisting force is FD = kV, where V is speed.

Find:

FD = kV

Distance required to reach 95 percent of terminal speed, Vt.

Solution:

Particle

Consider the particle to be a system. Apply Newton's second law.

Basic equation: ∑Fy = may

W

Assumptions:
1.

W is net weight.

2.

Resisting force acts opposite to V.

Then,

∑F

y

= W − kV = ma y = m dV
dt =

At terminal speed, ay = 0 and V = Vt =

Separating variables

y

W
k

W
g

V dV
dy

or

. Then 1 −

V
Vg

1 − Wk V =

V dV
g dy

= g1 V dV
dy

V dV
= g dy
1 − V1t V

Integrating, noting that velocity is zero initially

gy = ∫

0.95Vt

0

⎡
⎛ V
V dV
= ⎢ −VVt − Vt 2 ln ⎜1 −
1
⎝ Vt
1 − V ⎢⎣
Vt

gy = −0.95Vt 2 − Vt 2 ln (1 − 0.95) − Vt 2 ln (1)
gy = −Vt 2 [ 0.95 + ln 0.05] = 2.05 Vt 2
∴y =

2.05 2
W2
Vt = 2.05 2
g
gt

0.95Vt

⎞⎤
⎟⎥
⎠ ⎥⎦ 0

Problem 1.9

[Difficulty: 2]

Given:

Mass of nitrogen, and design constraints on tank dimensions.

Find:

External dimensions.

Solution:

Use given geometric data and nitrogen mass, with data from Table A.6.

The given or available data is: M = 5 ⋅ kg
T = ( 20 + 273 ) ⋅ K

p = ( 200 + 1 ) ⋅ atm

p = 20.4⋅ MPa

T = 293 ⋅ K

RN2 = 296.8 ⋅

p = ρ⋅ RN2⋅ T

The governing equation is the ideal gas equation

ρ=

and

J
kg⋅ K

(Table A.6)

M
V

2

where V is the tank volume

V=

π⋅ D
4

⋅L

L = 2⋅ D

where

Combining these equations:

Hence

M = V⋅ ρ =

p⋅ V
RN2⋅ T

=

p
RN2⋅ T

2

⋅

π⋅ D
4

⋅L =

3

2

p
RN2⋅ T

⋅

π⋅ D
4

⋅ 2⋅ D =

p ⋅ π⋅ D

2 ⋅ RN2⋅ T
1

1

Solving for D

⎛ 2 ⋅ RN2⋅ T⋅ M ⎞
D= ⎜
p⋅ π
⎝
⎠
D = 0.239 ⋅ m

3

2
⎛2
N⋅ m
1
m ⎞
D = ⎜ × 296.8 ⋅
× 293 ⋅ K × 5 ⋅ kg ×
⋅
kg⋅ K
6 N
⎜π
20.4 × 10
⎝
⎠

L = 2⋅ D

These are internal dimensions; the external ones are 2 x 0.5 cm larger:

L = 0.477 ⋅ m
L = 0.249 ⋅ m

D = 0.487 ⋅ m

3

Problem 1.10

[Difficulty: 4]
NOTE: Drag formula is in error: It should be:
FD = 3 ⋅ π⋅ V⋅ d

Given:

Data on sphere and formula for drag.

Find:

Diameter of gasoline droplets that take 1 second to fall 10 in.

Solution:

Use given data and data in Appendices; integrate equation of
motion by separating variables.

FD = 3πVd

a = dV/dt
Mg

The data provided, or available in the Appendices, are:
− 7 lbf ⋅ s

μ = 4.48 × 10

⋅

ft

2

ρw = 1.94⋅

slug
ft

3

SG gas = 0.72

ρgas = SGgas⋅ ρw

dV
g−

Integrating twice and using limits

slug
ft

M⋅

Newton's 2nd law for the sphere (mass M) is (ignoring buoyancy effects)

so

ρgas = 1.40⋅

3 ⋅ π⋅ μ⋅ d

V( t) =

M

dV
dt

3

= M ⋅ g − 3 ⋅ π⋅ μ⋅ V⋅ d

= dt
⋅V

− 3⋅ π⋅ μ ⋅ d ⎞
⎛
⋅t
⎜
M⋅ g
M
⋅⎝1 − e
⎠

3⋅ π⋅ μ ⋅ d

Replacing M with an expression involving diameter d

π⋅ d
M = ρgas ⋅
6

⎡
⎛ − 3⋅ π⋅ μ ⋅ d ⋅ t
⎢
⎜
M⋅ g
M
M
x( t) =
⋅⎝e
⋅ ⎢t +
−
3⋅ π⋅ μ ⋅ d ⎣
3⋅ π⋅ μ ⋅ d

⎞⎤
⎥
1⎠⎥
⎦

⎡⎢
⎛ − 18⋅ μ ⋅ t
2 ⎜
ρgas ⋅ d ⋅ g ⎢
ρgas ⋅ d ⎜ ρgas⋅ d2
x( t) =
⋅⎝e
⋅ ⎢t +
−
18⋅ μ
18⋅ μ
⎣

⎞⎤⎥
⎥
1⎠⎥
⎦

2

3

This equation must be solved for d so that x ( 1 ⋅ s) = 10⋅ in. The answer can be obtained from manual iteration, or by using
Excel's Goal Seek.
−3

⋅ in

1

10

0.75

7.5

x (in)

x (in)

d = 4.30 × 10

0.5
0.25

5
2.5

0

0.025

0.05

t (s)

0.075

0.1

0

0.25

0.5

0.75

1

t (s)

Note That the particle quickly reaches terminal speed, so that a simpler approximate solution would be to solve Mg = 3πµVd for d,
with V = 0.25 m/s (allowing for the fact that M is a function of d)!

Problem 1.11

[Difficulty: 3]

Given:

Data on sphere and formula for drag.

Find:

Maximum speed, time to reach 95% of this speed, and plot speed as a function of time.

Solution:

Use given data and data in Appendices, and integrate equation of motion by separating variables.

The data provided, or available in the Appendices, are:
kg
ρair = 1.17⋅
3
m

μ = 1.8 × 10

− 5 N⋅ s

⋅

2

m

Then the density of the sphere is

kg
ρw = 999 ⋅
3
m

SG Sty = 0.016

ρSty = SGSty⋅ ρw

ρSty = 16

d = 0.3⋅ mm

kg
3

m
3

π⋅ d
kg
( 0.0003⋅ m)
M = ρSty⋅
= 16⋅
× π×
6
3
6
m

The sphere mass is

3

M = 2.26 × 10

− 10

kg

M ⋅ g = 3 ⋅ π⋅ V⋅ d

Newton's 2nd law for the steady state motion becomes (ignoring buoyancy effects)
so
M⋅ g

− 10

1

Vmax =
=
× 2.26 × 10
3 ⋅ π⋅ μ⋅ d
3⋅π

⋅ kg × 9.81⋅

m
2

s

2

×

m

1.8 × 10

−5

Newton's 2nd law for the general motion is (ignoring buoyancy effects)
dV

so
g−

3 ⋅ π⋅ μ⋅ d
M

Integrating and using limits

×
⋅ N⋅ s

1
0.0003⋅ m

m
Vmax = 0.0435
s

M⋅

dV
dt

= M ⋅ g − 3 ⋅ π⋅ μ⋅ V⋅ d

= dt

FD = 3πVd

⋅V

V( t) =

− 3⋅ π⋅ μ⋅ d ⎞
⎛
⋅t
⎜
M⋅ g
M
⋅⎝1 − e
⎠

3 ⋅ π⋅ μ⋅ d

a = dV/dt
Mg

Using the given data

0.05

V (m/s)

0.04
0.03
0.02
0.01
0

0.01

0.02

t (s)

The time to reach 95% of maximum speed is obtained from

so

t=−

M
3 ⋅ π⋅ μ⋅ d

⎛

⋅ ln⎜ 1 −

0.95⋅ Vmax⋅ 3 ⋅ π⋅ μ⋅ d ⎞

⎝

The plot can also be done in Excel.

M⋅ g

⎠

− 3⋅ π⋅ μ⋅ d ⎞
⎛
⋅t
⎜
M⋅ g
M
⋅⎝1 − e
⎠ = 0.95⋅ Vmax
3 ⋅ π⋅ μ⋅ d

Substituting values

t = 0.0133 s

Problem 1.12

[Difficulty: 3]

Given:

Data on sphere and terminal speed.

Find:

Drag constant k, and time to reach 99% of terminal speed.

Solution:

Use given data; integrate equation of motion by separating variables.

kVt

− 13

M = 1 × 10

The data provided are:

mg

ft
Vt = 0.2⋅
s

⋅ slug

M⋅

Newton's 2nd law for the general motion is (ignoring buoyancy effects)

dV
dt

M ⋅ g = k ⋅ Vt

Newton's 2nd law for the steady state motion becomes (ignoring buoyancy effects)

− 13

k = 1 × 10

⋅ slug × 32.2⋅

ft
2

2

s

×

0.2⋅ ft

s

×

lbf ⋅ s

= M⋅ g − k⋅ V

⋅

M
k

− 13

⋅ slug ×

M⋅ g

− 11

×
⋅ lbf ⋅ s

Vt

lbf ⋅ s

slug⋅ ft

g−

= dt

k
M

⋅V

⋅ V⎞

⎠
V = 0.198 ⋅

2

ft
1.61 × 10

t = 0.0286 s

⎝

k

V = 0.99⋅ Vt

We must evaluate this when

t = −1 × 10

⋅ ln⎜⎛ 1 −

M⋅ g

ft
dV

t=−

k =

so

− 11 lbf ⋅ s

k = 1.61 × 10

slug⋅ ft

To find the time to reach 99% of Vt, we need V(t). From 1, separating variables

Integrating and using limits

(1)

⎛

⋅ ln⎜ 1 − 1.61 × 10

⎜
⎝

ft
s

− 11 lbf ⋅ s

⋅

ft

×

2

1
− 13

1 × 10

×
⋅ slug

s

32.2⋅ ft

×

0.198 ⋅ ft
s

×

slug⋅ ft ⎞
2

lbf ⋅ s

⎠

Problem 1.13

[Difficulty: 5]

Given:

Data on sphere and terminal speed from Problem 1.12.

Find:

Distance traveled to reach 99% of terminal speed; plot of distance versus time.

Solution:

Use given data; integrate equation of motion by separating variables.
− 13

M = 1 × 10

The data provided are:

ft
Vt = 0.2⋅
s

⋅ slug

mg
M⋅

Newton's 2nd law for the general motion is (ignoring buoyancy effects)

dV
dt

= M⋅ g − k⋅ V

Newton's 2nd law for the steady state motion becomes (ignoring buoyancy effects)
k = 1 × 10

− 13

⋅ slug × 32.2⋅

ft
2

×

s

2

s
0.2⋅ ft

×

lbf ⋅ s

V⋅ dV
g−

k
M

(

− 13

y = 1 ⋅ 10

)

2

⋅ slug ⋅

2

M⋅ g
Vt

ft

dV
dt

= M⋅

dy dV
dV
⋅
= M ⋅ V⋅
= M⋅ g − k⋅ V
dt dy
dy

M ⋅g
2

⋅ ln⎜⎛ 1 −

⎝

k
M⋅ g

⋅ V⎞ −

⎠

M
k

⋅V

V = 0.198 ⋅

ft
s

2
2⎛
2
⎛
ft
1
s
0.198 ⋅ ft slug⋅ ft ⎞
⎞ ⋅ ⎜ lbf ⋅ s ⎞ ⋅ ln⎜ 1 − 1.61⋅ 10− 11⋅ lbf ⋅ s ⋅
⋅
⋅
⋅
⋅⎛
...
⎜
− 11
− 13
32.2⋅ ft
s
2
⎜
slug⋅ ft ⎠
ft
⎝
1 ⋅ 10
⋅ slug
lbf ⋅ s ⎠
⎝ 1.61⋅ 10 ⋅ lbf ⋅ s ⎠
⎝

ft

⋅ slug ×

− 11

1.61⋅ 10
−3

⋅

M⋅

V = 0.99⋅ Vt

− 13

y = 4.49 × 10

k =

2

32.2⋅ ft
s

+ 1 ⋅ 10

so

= dy

k
We must evaluate this when

M ⋅ g = k ⋅ Vt

⋅V
2

y=−

Integrating and using limits

(1)

− 11 lbf ⋅ s

k = 1.61 × 10

slug⋅ ft

To find the distance to reach 99% of Vt, we need V(y). From 1:

Separating variables

kVt

×
⋅ lbf ⋅ s

2

0.198 ⋅ ft

lbf ⋅ s

×

s

slug⋅ ft

⋅ ft

Alternatively we could use the approach of Problem 1.12 and first find the time to reach terminal speed, and use this time in y(t) to
find the above value of y:
dV
From 1, separating variables

Integrating and using limits

g−

k
M

t=−

M
k

= dt
⋅V
⋅ ln⎜⎛ 1 −

⎝

k
M⋅ g

⋅ V⎞

⎠

(2)

V = 0.99⋅ Vt

We must evaluate this when

t = 1 × 10

− 13

2

ft

⋅ slug ×

1.61 × 10

− 11

lbf ⋅ s

⋅

slug⋅ ft

⋅ lbf ⋅ s

V = 0.198 ⋅

⎛

⋅ ln⎜ 1 − 1.61 × 10

ft
s

− 11 lbf ⋅ s

⋅

⎜
⎝

ft

×

2

1
− 13

1 × 10

×
⋅ slug

s

32.2⋅ ft

×

0.198 ⋅ ft
s

×

slug⋅ ft ⎞
2

lbf ⋅ s

⎠

t = 0.0286 s
V=

From 2, after rearranging

− 13

⋅ slug ×

32.2⋅ ft
2

s

−3

y = 4.49 × 10

dt

=

M⋅ g
k

⎛
−
⎜
⋅⎝1 − e

⎡
⎛ −
M⋅ g ⎢
M ⎜
y=
⋅⎝e
⋅ ⎢t +
k ⎣
k

Integrating and using limits

y = 1 × 10

dy

− 11

1.61 × 10

M

⋅ t⎞

M

⎠

⋅t

⎞⎤
⎥
− 1⎠⎥
⎦

2

ft

×

k

k

⋅
⋅ lbf ⋅ s

lbf ⋅ s

slug⋅ ft

⋅ ⎡0.0291⋅ s ...

⎢
⎛
⎜ −
⎢
2
ft
lbf ⋅ s ⎜
⎢+ 10− 13⋅ slug⋅
⋅
⋅⎝e
⎢
− 11
slug⋅ ft
1.61 × 10
⋅ lbf ⋅ s
⎣

1.61× 10

− 11

− 13

1× 10

⋅ ft

5

y (0.001 ft)

3.75

2.5

1.25

0

5

10

15

t (ms)

This plot can also be presented in Excel.

20

25

⎤
⎞ ⎥
⋅ .0291
⎥
⎥
− 1⎠
⎥
⎦

Problem 1.14

[Difficulty: 4]

2

Given:

M  70 kg

Data on sky diver:

k  0.25

N s

2

m

Find:

Maximum speed; speed after 100 m; plot speed as function of time and distance.

Solution:

Use given data; integrate equation of motion by separating variables.

Treat the sky diver as a system; apply Newton's 2nd law:

M

Newton's 2nd law for the sky diver (mass M) is (ignoring buoyancy effects):

2

(a) For terminal speed Vt, acceleration is zero, so M  g  k  V  0

dV
dt

(1)

M g

Vt 

so

2

 M g  k V

FD = kV2

k

1
2
2

m
m
N s 
Vt   70 kg  9.81 

2
2 kg  m

s
0.25 N s



(b) For V at y = 100 m we need to find V(y). From (1) M 








Separating variables and integrating:

dV
dt

V

 M

m
Vt  52.4
s

dV dy
dV
2

 M  V
 M g  k V
dy dt
dt
y

M g

0

so

2

k V 
2 k
ln 1 

y
M

g
M



Mg


dV   g dy

2
0
k V

V
1

a = dV/dt

2

or

2

V 

M g
k




1  e

2 k  y 
M



1

Hence




V( y )  Vt  1  e

2 k  y 
M

2


1

For y = 100 m:

2

N s
1
kg m 

 2 0.25
 100 m

2
70 kg s 2 N
m 
m
V( 100  m)  52.4   1  e


s

2

V( 100  m)  37.4

m
s

V(m/s)

60
40
20

0

100

200

300

400

500

y(m)

(c) For V(t) we need to integrate (1) with respect to t:

M







Separating variables and integrating:

dV
dt

V

2

 M g  k V

t


dV   1 dt

M g
2
0
V
k
V

0


1
M 
t 
 ln
2 k g 


so


 2
e
V( t)  Vt

 2
e

Rearranging

k g

k g
M

V



t

M


V V 
k
  1  M  ln t
 2 k g  Vt  V 
M g
V
k

M g

 1



t

or

k
V( t)  Vt tanh Vt  t
M





 1

V(m/s)

60
40
V ( t)
20

0

5

10
t

t(s)

The two graphs can also be plotted in Excel.

15

20

Problem 1.15

[Difficulty: 5]

2

Given:

M = 70⋅ kg

Data on sky diver:

k vert = 0.25⋅

N⋅ s

2

2

k horiz = 0.05⋅

m

Find:

Plot of trajectory.

Solution:

Use given data; integrate equation of motion by separating variables.

N⋅ s

m
U0 = 70⋅
s

2

m

Treat the sky diver as a system; apply Newton's 2nd law in horizontal and vertical directions:

Vertical: Newton's 2nd law for the sky diver (mass M) is (ignoring buoyancy effects):

M⋅

dV

2

= M ⋅ g − k vert⋅ V (1)
dt

For V(t) we need to integrate (1) with respect to t:
⌠
⎮
⎮
⎮
⎮
⌡

Separating variables and integrating:

V

t

⌠
dV = ⎮ 1 dt
⌡
M⋅ g
2
0
−V
k vert
V

0

⎛
⎜
1
M
t= ⋅
⋅ ln⎜
2 k vert⋅ g ⎜
⎜
⎝
⎛
⎜ 2⋅
⎜
M⋅ g ⎝ e
oV( t) =
⋅
k vert ⎛
r
⎜ 2⋅
⎜e
⎝

so

Rearranging

M⋅ g
k vert
M⋅ g
k vert
kvert ⋅ g

kvert ⋅ g
M

dt

⌠
y ( t) = ⎮
⌡

t

0

⌠
⎮
V( t) dt = ⎮
⎮
⌡

t

M⋅ g
k vert

M⋅ g
k vert

⎛

⎛ kvert⋅ g ⎞ ⎞
⋅t
M
⎝
⎠⎠

⋅ ln⎜ cosh⎜

⎝

⋅t

=V

⎞
⎟
⎟
⎠
⎞

− 1⎠
⋅t

⎞

so

V( t) =

M⋅ g
k vert

+ 1⎠
or

⌠
y = ⎮ V dt
⌡

⎛ kvert⋅ g ⎞
⎛ k vert⋅ g ⎞ ⎞
M⋅ g ⎛
⋅ t dt =
⋅t
⋅ ln⎜ cosh⎜
k vert ⎝
M
M
⎝
⎠
⎝
⎠⎠

⋅ tanh⎜

0

y ( t) =

−V

M

dy

For y(t) we need to integrate again:

+V

⎛ k vert⋅ g ⎞

⋅ tanh⎜

⎝

M

⋅t

⎠

30

600

20

400

y(m)

y(m)

After the first few seconds we reach steady state:

y( t)

y( t)

10

200

0

1

2

3

4

5

0

20

40

t

t

t(s)

t(s)

M⋅

Horizontal: Newton's 2nd law for the sky diver (mass M) is:

dU
dt

2

= −k horiz⋅ U

For U(t) we need to integrate (2) with respect to t:
U

Separating variables and integrating:

⌠
1
⎮
dU =
⎮
2
U
⎮
⌡U

t

⌠ k
horiz
⎮
−
dt
⎮
M
⌡

so

0

−

k horiz
M

⋅t = −

1
U

+

1
U0

0

Rearranging

U0

U( t) =
1+

For x(t) we need to integrate again:

dx
dt

=U

k horiz⋅ U0
M

⋅t

⌠
x = ⎮ U dt
⌡

or

t

⌠
t
U0
⌠
⎛ k horiz⋅ U0
⎞
M
⎮
dt =
x ( t) = ⎮ U( t) dt = ⎮
⋅t + 1
⋅ ln⎜
⌡
k horiz ⎝
M
k
⋅U
⎠
0
⎮ 1 + horiz 0 ⋅ t
⎮
M
⌡
0

x ( t) =

M
k horiz

⎞
⎛ khoriz⋅ U0
⋅t + 1
⎝ M
⎠

⋅ ln⎜

60

(2)

2

x(km)

1.5
1
0.5
0

20

40

60

t(s)

Plotting the trajectory:

y(km)

0

1

2

−1

−2

−3

x(km)
These plots can also be done in Excel.

3

Problem 1.16

[Difficulty: 3]

Given:

Long bow at range, R = 100 m. Maximum height of arrow is h = 10 m. Neglect air resistance.

Find:

Estimate of (a) speed, and (b) angle, of arrow leaving the bow.

Plot:

(a) release speed, and (b) angle, as a function of h

Solution:

Let V0 = u 0 i + v 0 j = V0 (cos θ 0 i + sin θ 0 j)

y
ΣFy = m dv
= − mg , so v = v0 – gt, and tf = 2tv=0 = 2v0/g
dt
v2
dv
= − mg, v dv = −g dy, 0 − 0 = − gh
dy
2

Also,

mv

Thus

h = v 20 2g
ΣFx = m

v 20 = 2gh

From Eq. 2:

u0 =

x

θ0
R
(1)

2u v
du
= 0, so u = u 0 = const, and R = u 0 t f = 0 0
g
dt

From Eq. 1:

h

V0

(2)

(3)

gR
gR
=
2v 0 2 2gh

∴ u 20 =

gR 2
8h
1

Then

⎛
gR 2 ⎞ 2
gR 2
⎟
+ 2 gh and V0 = ⎜⎜ 2 gh +
V =u +v =
8h
8h ⎟⎠
⎝
2
0

2
0

2
0

(4)

1

⎛
m
1 ⎞2
9.81 m
m
⎟⎟ = 37.7
V0 = ⎜⎜ 2 × 9.81 2 × 10 m +
× 100 2 m 2 ×
2
s
10
m
8
s
s
⎝
⎠

From Eq. 3:

v 0 = 2gh = V0 sin θ , θ = sin −1

2gh
V0

(5)

1
⎡
⎤
2
s ⎥
m
⎛
⎞
θ = sin ⎢⎜ 2 × 9.81 2 ×10 m ⎟ ×
= 21.8°
⎢⎝
s
⎠ 37.7 m ⎥
⎣
⎦
−1

Plots of V0 = V0(h) (Eq. 4) and θ0 = θ 0(h) (Eq. 5) are presented below:

V 0 (m/s)

Initial Speed vs Maximum Height
80
70
60
50
40
30
20
10
0
0

5

10

15

20

25

30

25

30

h (m)

Initial Angle vs Maximum Height
60
50
o
θ ( )

40
30
20
10
0
0

5

10

15
h (m)

20

Problem 1.17

[Difficulty: 2]

Given: Basic dimensions M, L, t and T.
Find:

Dimensional representation of quantities below, and typical units in SI and English systems.

Solution:
(a) Power

Power 

Energy
Time

Force  Distance



Time

F L



t

Force  Mass  Acceleration

From Newton's 2nd law

F

so

M L
t

Power 

Hence

(b) Pressure

(c) Modulus of elasticity

(d) Angular velocity

(e) Energy

Pressure 

Pressure 

Force
Area
Force
Area

F L
t
F



L

F



AngularVelocity 

2

L

2

M  L L





2

M L

t t
M L



2

t L

2

M L



2

t L

Radians



Time

2

t

2

kg m

3

L t

3

L t

(h) Shear stress

(i) Strain

(j) Angular momentum

Strain 

Area

LengthChange
Length

F
L

2





kg

slug
2

1

1

1

t

s

s

Momentum  Mass  Velocity  M 


ft s

2

M  L L

M L



2

t

MomentOfForce  Force  Length  F L 

Force

2

m s

ft s

Energy  Force  Distance  F L 

ShearStress 

slug

m s

M L
2

t L

2

L
t




2

2

kg m

2

M  L L
t

(g) Momentum

3

2

2

2

slug ft

2



t

2

s
2

kg m

2

slug ft

2

s

M L

kg m

slug ft

t

s

s

kg

slug

L t

2

2

2

m s

L

2

2

s

M

2

2

s
M L

2

s

kg

2

M



slug ft

s

M



t
(f) Moment of a force

2

2

ft s

Dimensionless

L

AngularMomentum  Momentum  Distance 

M L
t

L 

M L
t

2

2

kg m

slugs ft

s

s

2

Problem 1.18

[Difficulty: 2]

Given: Basic dimensions F, L, t and T.
Find:

Dimensional representation of quantities below, and typical units in SI and English systems.

Solution:
(a) Power

(b) Pressure

(c) Modulus of elasticity

(d) Angular velocity

Power =

Energy

Pressure =
Pressure =

Time
Force
Area
Force
Area

Force × Distance

=

Time

L

L

s

N

lbf

Radians
Time

=

Force
Area

=

ft

N

lbf
ft

1

1

1

t

s

s

N⋅ m

lbf ⋅ ft

or

M=

L
t

L
t

F = M⋅

=

F⋅ t ⋅ L
L⋅ t

L
t

2

= F⋅ t

F
L

2

m

Force = Mass × Acceleration so

Momentum = M ⋅

2

m

2

From Newton's 2nd law

SpecificHeat =

s

2

Momentum = Mass × Velocity = M ⋅

(h) Specific heat

t

F

=

(f) Momentum

ShearStress =

lbf ⋅ ft

2

Energy = Force × Distance = F⋅ L

(g) Shear stress

N⋅ m

2

(e) Energy

Hence

F⋅ L

F

=

AngularVelocity =

=

2

2

N⋅ s

lbf ⋅ s

N

lbf

2

m

Energy
Mass × Temperature

=

F⋅ L
M⋅ T

=

F⋅ L

⎛ F⋅ t2 ⎞
⎜
⋅T
⎝ L ⎠

=

L
2

2

t ⋅T

2

ft

L

2
2

m

ft

2

s ⋅R

s ⋅K

F⋅ t

2

LengthChange

(i) Thermal expansion coefficient ThermalExpansionCoefficient =

(j) Angular momentum

Length

Temperature

=

1

1

1

T

K

R

N⋅ m⋅ s

lbf ⋅ ft⋅ s

AngularMomentum = Momentum × Distance = F⋅ t⋅ L

2

Problem 1.19

[Difficulty: 1]

Given:

Viscosity, power, and specific energy data in certain units

Find:

Convert to different units

Solution:
Using data from tables (e.g. Table G.2)
2

(a)

⎛ 1 ⋅ ft ⎞
2
2 ⎜
2
12
m
m
ft
1⋅
= 10.76 ⋅
= 1⋅
×⎜
s
s
s
⎝ 0.0254⋅ m ⎠

(b)

100 ⋅ W = 100 ⋅ W ×

(c)

1⋅

kJ
kg

= 1⋅

kJ
kg

×

1 ⋅ hp
746 ⋅ W

1000⋅ J
1 ⋅ kJ

×

= 0.134 ⋅ hp
1 ⋅ Btu
1055⋅ J

×

0.454 ⋅ kg
1 ⋅ lbm

= 0.43⋅

Btu
lbm

Problem 1.20

[Difficulty: 1]

Given:

Pressure, volume and density data in certain units

Find:

Convert to different units

Solution:
Using data from tables (e.g. Table G.2)
6895⋅ Pa

1⋅ psi = 1⋅ psi ×

(b)

1⋅ liter = 1⋅ liter ×

(c)

⎛ 1 ⋅ ft ⎞
lbf ⋅ s
lbf ⋅ s
4.448⋅ N ⎜ 12
N⋅s
1⋅
×
= 47.9⋅
= 1⋅
×⎜
⋅ ⎠
2
2
1⋅ lbf
2
⎝ 0.0254m
ft
ft
m

1⋅ psi

×

1⋅ kPa

(a)

1⋅ quart
0.946⋅ liter

1000⋅ Pa

×

= 6.89⋅ kPa

1⋅ gal
4⋅ quart

= 0.264⋅ gal
2

Problem 1.21

[Difficulty: 1]

Given:

Specific heat, speed, and volume data in certain units

Find:

Convert to different units

Solution:
Using data from tables (e.g. Table G.2)

(a)

4.18⋅

(b)

30⋅

kJ
kg⋅ K

m
s

= 4.18⋅

= 30⋅

m
s

×

kJ
kg⋅ K

3.281 ⋅ ft
1⋅ m
3

(c)

5⋅ L = 5⋅ L ×

×

1⋅ m

1000⋅ L

⋅

1 ⋅ Btu
1.055 ⋅ kJ
1 ⋅ mi
5280⋅ ft

⋅

×

1 ⋅ kg
2.2046⋅ lbm

3600⋅ s
hr

= 67.1⋅
3

×

×

1⋅ K
1.8⋅ R

mi
hr

⎛ 100 ⋅ cm × 1⋅ in ⎞ = 305 ⋅ in3
⎜ 1⋅ m
2.54⋅ cm ⎠
⎝

= 0.998 ⋅

Btu
lbm⋅ R

Problem 1.22

[Difficulty: 1]

Given:

Quantities in English Engineering (or customary) units.

Find:

Quantities in SI units.

Solution:

Use Table G.2 and other sources (e.g., Machinery's Handbook, Mark's Standard Handbook)

(a)

3.7⋅ acre⋅ ft = 3.7⋅ acre ×

(b)

150 ⋅

2

3

(c)

(d)

in
s

3

= 150 ⋅

in

gal

×

3 ⋅ gpm = 3 ⋅

3⋅

mph
s

min

= 3⋅

1 ⋅ acre

hr⋅ s

231 ⋅ in

×

0.3048⋅ m
1 ⋅ ft

3

3

= 4.56 × 10 ⋅ m
3

⎛ 0.0254⋅ m ⎞ = 0.00246 ⋅ m
⎜ 1 ⋅ in
s
⎝
⎠
3

mile

×
3

×

s

4047⋅ m

1 ⋅ gal

1609⋅ m
1 ⋅ mile

3

3

×

⎛ 0.0254⋅ m ⎞ ⋅ 1⋅ min = 0.000189⋅ m
⎜ 1 ⋅ in
s
⎝
⎠ 60⋅ s

×

1 ⋅ hr
3600⋅ s

= 1.34⋅

m
2

s

Problem 1.23

[Difficulty: 1]

Given:

Quantities in English Engineering (or customary) units.

Find:

Quantities in SI units.

Solution:

Use Table G.2 and other sources (e.g., Google)

(a)

100 ⋅

ft

3

m

= 100 ⋅

ft

3

min

3

(b)

5 ⋅ gal = 5 ⋅ gal ×

(c)

65⋅ mph = 65⋅

231 ⋅ in
1 ⋅ gal

mile
hr

×

3

×

⎛ 0.0254⋅ m ⎞ = 0.0189⋅ m3
⎜ 1⋅ in
⎝
⎠

1852⋅ m
1 ⋅ mile

×
3

(d)

3

3

⎛ 0.0254⋅ m × 12⋅ in ⎞ × 1 ⋅ min = 0.0472⋅ m
⎜ 1 ⋅ in
s
1 ⋅ ft ⎠
60⋅ s
⎝

×

5.4⋅ acres = 5.4⋅ acre ×

4047⋅ m
1 ⋅ acre

1 ⋅ hr
3600⋅ s

m

= 29.1⋅

4

s
2

= 2.19 × 10 ⋅ m

Problem 1.24

Given:

Quantities in SI (or other) units.

Find:

Quantities in BG units.

Solution:

Use Table G.2.

(a)

50⋅ m = 50⋅ m ×

(b)

250⋅ cc = 250⋅ cm ×

(c)

100⋅ kW = 100⋅ kW ×

(d)

5⋅

2

2

2
⎛ 1⋅ in × 1⋅ ft ⎞ = 538⋅ ft 2
⎜ 0.0254m
⋅
12⋅ in ⎠
⎝

3

kg
2

m

= 5⋅

kg
2

m

×

3
⎛ 1⋅ m × 1⋅ in × 1⋅ ft ⎞ = 8.83 × 10− 3⋅ ft 3
⎜ 100⋅ cm 0.0254m
12⋅ in ⎠
⋅
⎝

1000⋅ W
1⋅ kW

×

1⋅ hp
746⋅ W

= 134⋅ hp

2
⋅
slug
12⋅ in ⎞
1⋅ slug
⎛ 0.0254m
= 0.0318⋅
⎜ 1⋅ in × 1⋅ ft ×
2
14.95⋅ kg
⎝
⎠
ft

[Difficulty: 1]

Problem 1.25

Given:

Quantities in SI (or other) units.

Find:

Quantities in BG units.

Solution:

Use Table G.2.

(a)

180⋅ cc = 180⋅ cm ×

(b)

300⋅ kW = 300⋅ kW ×

(c)

50⋅

3

N⋅s
2

m
(d)

2

= 50⋅

N⋅s
2

×

m

2

40⋅ m ⋅ hr = 40⋅ m ×

3
⎛ 1⋅ m × 1⋅ in × 1⋅ ft ⎞ = 6.36 × 10− 3⋅ ft 3
⎜ 100⋅ cm 0.0254m
12⋅ in ⎠
⋅
⎝

1000⋅ W
1⋅ kW
1⋅ lbf
4.448⋅ N

×

×

1⋅ hp
746⋅ W

= 402⋅ hp

2
⋅
12⋅ in ⎞
lbf ⋅ s
⎛ 0.0254m
= 1.044⋅
⎜ 1⋅ in × 1⋅ ft
2
⎝
⎠
ft

2
⎛ 1⋅ in × 1⋅ ft ⎞ ⋅ hr = 431⋅ ft 2⋅ hr
⎜ 0.0254m
⋅
12⋅ in ⎠
⎝

[Difficulty: 1]

Problem 1.26

[Difficulty: 2]

Given:

Geometry of tank, and weight of propane.

Find:

Volume of propane, and tank volume; explain the discrepancy.

Solution:

Use Table G.2 and other sources (e.g., Google) as needed.

The author's tank is approximately 12 in in diameter, and the cylindrical part is about 8 in. The weight of propane specified is 17 lb.
The tank diameter is

D = 12⋅ in

The tank cylindrical height is

L = 8⋅ in

The mass of propane is

mprop = 17⋅ lbm

The specific gravity of propane is

SG prop = 0.495

The density of water is

ρ = 998⋅

kg
3

m
The volume of propane is given by

mprop
mprop
Vprop =
=
ρprop
SGprop⋅ ρ
3

1

m

Vprop = 17⋅ lbm ×
×
×
0.495
998 ⋅ kg

0.454 ⋅ kg
1 ⋅ lbm

×

⎛ 1⋅ in ⎞
⎜ 0.0254⋅ m
⎝
⎠

3

3

Vprop = 953 ⋅ in

The volume of the tank is given by a cylinder diameter D length L, πD2L/4 and a sphere (two halves) given by πD3/6
2

Vtank =

Vtank =

The ratio of propane to tank volumes is

Vprop
Vtank

π⋅ D
4

3

⋅L +

π⋅ ( 12⋅ in)
4

π⋅ D
6

2

⋅ 8 ⋅ in + π⋅

( 12⋅ in)
6

3

3

Vtank = 1810⋅ in

= 53⋅ %

This seems low, and can be explained by a) tanks are not filled completely, b) the geometry of the tank gave an overestimate of
the volume (the ends are not really hemispheres, and we have not allowed for tank wall thickness).

Problem 1.27

[Difficulty: 1]

Given:

Acreage of land, and water needs.

Find:

Water flow rate (L/min) to water crops.

Solution:

Use Table G.2 and other sources (e.g., Machinery's Handbook, Mark's Standard Handbook) as needed.

The volume flow rate needed is Q 

Performing unit conversions

Q

4 cm
week

 10 hectare

4 cm  10 hectare

Q  397

week
L
min



0.04 m  10 hectare
week

4



2

1  10  m
1 hectare



1000 L
3

m



1 week
7 day



1 day
24 hr



1 hr
60 min

Problem 1.28

Given:

Data in given units

Find:

Convert to different units

[Difficulty: 1]

Solution:
3

(a)

1⋅

3

in

= 1⋅

min
3

(b)

(c)

(d)

1⋅

1⋅

m
s

3

3
⋅
mm
1000⋅ mm⎞
1⋅ min
⎛ 0.0254m
×
×
= 273⋅
⎜
min ⎝ 1⋅ in
s
1⋅ m ⎠
60⋅ s

in

×

3

= 1⋅

liter
min

m
s

= 1⋅

1⋅ gal

×

3

×

4 × 0.000946⋅ m

liter
min

×

3

1 ⋅ gal
4 × 0.946 ⋅ liter
3

×

60⋅ s
1⋅ min

= 15850⋅ gpm

60⋅ s
1 ⋅ min

= 0.264 ⋅ gpm

3

0.0254⋅ m ⎞
m
60⋅ min
1 ⋅ SCFM = 1 ⋅
×
= 1.70⋅
× ⎛⎜
min
1
hr
1 ⋅ hr
⋅ ft
⎜
12
⎝
⎠
ft

Problem 1.29

Given:

Density of mercury.

Find:

Specific gravity, volume and weight.

Solution:

Use basic definitions

SG =

v=

ρ

ρw = 1.94⋅

From Appendix A

ρw

1
ρ

[Difficulty: 1]

slug
ft

so

v =

1

⋅

ft

3

so

3

SG =

26.3

SG = 13.6

1.94

3
−5m

3

×

26.3 slug

⋅ ⎞
1⋅ lbm
1⋅ slug
⎛ 0.3048m
×
×
⎜ 1⋅ ft
0.4536kg
⋅
32.2
⋅
lbm
⎝
⎠

v = 7.37 × 10

γ = ρ⋅ g

Hence on earth

γE = 26.3⋅

slug
ft

On the moon

γM = 26.3⋅

3

× 32.2⋅

slug
ft

3

ft
s

× 5.47⋅

×

2

ft
2

s

1⋅ lbf ⋅ s

2

1⋅ slug ⋅ ft

γE = 847

lbf
ft

2

×

1 ⋅ lbf ⋅ s

1 ⋅ slug⋅ ft

Note that mass-based quantities are independent of gravity

γM = 144

3

lbf
ft

3

kg

Problem 1.30

Given:

Definition of kgf.

Find:

Conversion from psig to kgf/cm2.

Solution:

Use Table G.2.

Define kgf

kgf = 1 ⋅ kg × 9.81⋅

m
2

kgf = 9.81N

s
Then

32⋅

lbf
2

in

×

4.448⋅ N
1⋅ lbf

×

1⋅ kgf
9.81⋅ N

×

2
⎛ 12⋅ in × 1⋅ ft × 1⋅ m ⎞ = 2.25 kgf
⎜ 1⋅ ft
100⋅ cm ⎠
0.3048m
⋅
2
⎝
cm

[Difficulty: 1]

Problem 1.31

[Difficulty: 3]

Given:

Information on canal geometry.

Find:

Flow speed using the Manning equation, correctly and incorrectly!

Solution:

Use Table G.2 and other sources (e.g., Google) as
needed.

The Manning equation is

The given data is

V=

2

1

3

2

Rh ⋅ S0

which assumes Rh in meters and V in m/s.

n

1
S0 =
10

Rh = 7.5⋅ m
1

2

7.5 ⋅ ⎛⎜
3

V=

Hence

Using the equation incorrectly:

⎞
⎝ 10 ⎠
1

2

V = 86.5⋅

0.014

Rh = 7.5⋅ m ×

1 ⋅ in
0.0254⋅ m

24.6 ⋅ ⎛⎜
3

V =

×

m

(Note that we don't cancel units; we just write m/s
next to the answer! Note also this is a very high
speed due to the extreme slope S0.)

s

1 ⋅ ft

Rh = 24.6⋅ ft

12⋅ in

1

2

Hence

n = 0.014

⎞
⎝ 10 ⎠
1

2

V = 191 ⋅

0.014

ft

V = 191 ⋅

This incorrect use does not provide the correct answer

(Note that we again don't cancel units; we just
write ft/s next to the answer!)

s
ft
s

×

12⋅ in
1 ⋅ ft

×

0.0254⋅ m
1 ⋅ in

This demonstrates that for this "engineering" equation we must be careful in its use!
To generate a Manning equation valid for Rh in ft and V in ft/s, we need to do the following:
2

1
2

3
Rh ( m) ⋅ S0
m⎞
1 ⋅ in
1 ⋅ in
1 ⋅ ft ⎞
ft ⎞
1 ⋅ ft
⎛
⎛
=
× ⎛⎜
V⎜
= V⎜
×
×
×
n
⎝s⎠
⎝ s ⎠ 0.0254⋅ m 12⋅ in
⎝ 0.0254⋅ m 12⋅ in ⎠

V = 58.2

m
s

which is wrong!

V⎛⎜

ft ⎞

⎝s⎠

=

2

1

3

2

Rh ( ft) ⋅ S0
n

−

×

⎛ 1⋅ in × 1 ⋅ ft ⎞
⎜ 0.0254⋅ m 12⋅ in
⎝
⎠

2

2

1

3

3

2

×

1

3
⎛ 1 ⋅ in × 1⋅ ft ⎞ = Rh ( ft) ⋅ S0 × ⎛ 1⋅ in × 1 ⋅ ft ⎞
⎜ 0.0254⋅ m 12⋅ in
⎜ 0.0254⋅ m 12⋅ in
n
⎝
⎠
⎝
⎠

1
3

⎛ 1 ⋅ 1 ⎞ = 1.49
⎜ .0254 12
⎝
⎠

In using this equation, we ignore the units and just evaluate the conversion factor
2

Hence

3
ft ⎞ 1.49⋅ Rh ( ft) ⋅ S0
⎛
V⎜
=
n
⎝s⎠

1
2

Handbooks sometimes provide this form of the Manning equation for direct use with BG units. In our case
we are asked to instead define a new value for n:
1

2

n BG =

n
1.49

n BG = 0.0094

where

24.6 ⋅ ⎛⎜
Using this equation with Rh = 24.6 ft: V =

Converting to m/s

⎞
⎝ 10 ⎠
1

2

0.0094

V = 284 ⋅

ft
s

2

1

2
3

3
ft ⎞ Rh ( ft) ⋅ S0
⎛
V⎜
=
n BG
⎝s⎠

×

12⋅ in
1 ⋅ ft

×

0.0254⋅ m
1 ⋅ in

V = 284

ft

V = 86.6

m

s

s

which is the correct
answer!

[Difficulty: 2]

Problem 1.32

Given:

Equation for COPideal and temperature data.

Find:

COPideal, EER, and compare to a typical Energy Star compliant EER value.

Solution:

Use the COP equation. Then use conversions from Table G.2 or other sources (e.g., www.energystar.gov) to
find the EER.

The given data is

The COPIdeal is

TL  ( 20  273)  K

TL  293 K

TH  ( 40  273)  K

TH  313 K

293
COPIdeal 
 14.65
313  293

The EER is a similar measure to COP except the cooling rate (numerator) is in BTU/hr and the electrical input (denominator) is in W:
BTU

EER Ideal  COPIdeal 

hr

W

2545
EER Ideal  14.65 

BTU
hr

746  W

 50.0

BTU
hr W

This compares to Energy Star compliant values of about 15 BTU/hr/W! We have some way to go! We can define the isentropic
efficiency as
ηisen 

EER Actual
EER Ideal

Hence the isentropic efficiency of a very good AC is about 30%.

Problem 1.33

[Difficulty: 2]

Given:

Equation for maximum flow rate.

Find:

Whether it is dimensionally correct. If not, find units of 2.38 coefficient. Write a SI version of the equation

Solution:

Rearrange equation to check units of 0.04 term. Then use conversions from Table G.2 or other sources (e.g., Google)
mmax⋅ T0

2.38 =

"Solving" the equation for the constant 2.38:

At ⋅ p 0

Substituting the units of the terms on the right, the units of the constant are
1

slug
s

×R

2

1

1

1

×

ft

2

×

1
psi

=

slug
s

×R

2

1

×

ft

2

2

×

in

lbf

×

lbf ⋅ s

2

slug ⋅ ft

2

=

2

R ⋅ in ⋅ s
ft

3

1
2

c = 2.38⋅

Hence the constant is actually

2

R ⋅ in ⋅ s
ft

3

For BG units we could start with the equation and convert each term (e.g., At), and combine the result into a new constant, or simply
convert c directly:
1

1

2

c = 2.38⋅

2

2

R ⋅ in ⋅ s
ft

3

1

= 2.38⋅

2

R ⋅ in ⋅ s
ft

3

2

×

2

⎛ K ⎞ × ⎛ 1⋅ ft ⎞ × 1⋅ ft
⎜ 1.8⋅ R
⎜ 12⋅ in
0.3048m
⋅
⎝
⎠
⎝
⎠

1
2

c = 0.04⋅

K ⋅s
m

so

mmax = 0.04⋅

At ⋅ p 0
T0

with At in m2, p 0 in Pa, and T0 in K.

Problem 1.34

[Difficulty: 1]

Given:

Equation for mean free path of a molecule.

Find:

Dimensions of C for a diemsionally consistent equation.

Solution:

Use the mean free path equation. Then "solve" for C and use dimensions.

The mean free path equation is

"Solving" for C, and using dimensions

m

λ  C

C

ρ d

2

λ ρ d

2

m
L

C

M
3

L

M

2

L

0

The constant C is dimensionless.

Problem 1.35

[Difficulty: 1]

Given:

Equation for drag on a body.

Find:

Dimensions of CD.

Solution:

Use the drag equation. Then "solve" for CD and use dimensions.

The drag equation is

1
2
FD = ⋅ ρ⋅ V ⋅ A ⋅ CD
2

"Solving" for CD, and using dimensions

CD =

2⋅ FD
2

ρ⋅ V ⋅ A
F

CD =
M
3

2

×

L
But, From Newton's 2nd law

⎛ L ⎞ × L2
⎜t
⎝ ⎠

Force = Mass ⋅ Acceleration

F = M⋅

or

L
t

Hence

F

CD =
M
3

L
The drag coefficient is dimensionless.

×

⎛ L⎞

2

=
2

⎜t ×L
⎝ ⎠

M⋅ L
t

2

3

×

L

M

×

t

2
2

L

×

1
2

L

=0

2

Problem 1.36

Given:

Data on a container and added water.

Find:

Weight and volume of water added.

Solution:

Use Appendix A.

For the empty container

Wc  3.5 lbf

For the filled container

M total  2.5 slug

The weight of water is then

Ww  M total  g  Wc

[Difficulty: 1]

2

The temperature is

ft
1 lbf  s
Ww  2.5 slug  32.2

 3.5 lbf
2
1 slug  ft
s

Ww  77.0 lbf

90°F  32.2°C

ρ  1.93

and from Table A.7

slug
ft

Hence

Vw 

Mw

Ww
Vw 
g ρ

or

ρ

2

3

3

1 s
1 ft
1 slug  ft
Vw  77.0 lbf 




32.2 ft
1.93 slug
2
1 lbf  s

Vw  1.24ft

3

Problem 1.37

[Difficulty: 1]

Given:

Equation for vibrations.

Find:

Dimensions of c, k and f for a dimensionally consistent equation. Also, suitable units in SI and BG systems.

Solution:

Use the vibration equation to find the diemsions of each quantity
2

m

The first term of the equation is

d x
2

dt

L

M

The dimensions of this are

t

2

Each of the other terms must also have these dimensions.
c

Hence

dx
dt

M L



t

t
f 

c:

L
t



t

k L

so

2

M L

and

2

M L
t

and

2

c

M

k

M

t

t

2

M L
t

Suitable units for c, k, and f are

2

M L

k x 

c

so

2

kg

slug

s

s

k:

kg

slug

2

kg m

f:

2

s

2

s

slug ft
2

s

s

Note that c is a damping (viscous) friction term, k is a spring constant, and f is a forcing function. These are more typically expressed
using F (force) rather than M (mass). From Newton's 2nd law:
F  M

L
t

2

c

Using this in the dimensions and units for c, k, and f we find

c:

N s

lbf  s

m

ft

M

or

k:

F t

2

L t



F t
L

N

lbf

m

ft

F t

2

L
k

F t

2

L t

2



F

f F

L

f:

N

lbf

Problem 1.38

Given:

Specific speed in customary units

Find:

Units; Specific speed in SI units

[Difficulty: 1]

Solution:
1

The units are

rpm⋅ gpm

3

2

or

ft

3

ft

4
3

4

s

2

Using data from tables (e.g. Table G.2)
1

NScu = 2000⋅

rpm⋅ gpm

2

3
4

ft

3
1

1

⎛ 1 ⋅ ft ⎞
2
3
⎜ 12
rpm⋅ gpm
2 ⋅ π⋅ rad 1 ⋅ min ⎛ 4 × 0.000946⋅ m 1 ⋅ min ⎞
NScu = 2000 ×
×
×
×⎜
⋅
×⎜
1 ⋅ rev
60⋅ s
1 ⋅ gal
3
60⋅ s ⎠
⎝
⎝ 0.0254⋅ m ⎠
2

ft

4
1

⎛ m3 ⎞
⋅⎜
s ⎝ s ⎠
NScu = 4.06⋅
3
rad

m

4

2

4

Problem 1.39

Given:

"Engineering" equation for a pump

Find:

SI version

[Difficulty: 1]

Solution:
The dimensions of "1.5" are ft.
The dimensions of "4.5 x 10-5" are ft/gpm2.
Using data from tables (e.g. Table G.2), the SI versions of these coefficients can be obtained
0.0254m
⋅

1.5⋅ ft = 1.5⋅ ft ×

1
12

−5

4.5 × 10

−5

ft

⋅

= 0.457⋅ m

⋅ ft

2

= 4.5⋅ 10

ft

⋅

gpm

2

gpm

×

0.0254m
⋅
1
12

4.5⋅ 10

−5

⋅

ft
2

gpm

= 3450⋅

m

⎛ m3 ⎞
⎜
⎝ s ⎠

2

The equation is

⎛ ⎛ m3 ⎞ ⎞
H( m) = 0.457 − 3450⋅ ⎜ Q⎜
⎝ ⎝ s ⎠⎠

2

⋅ ft

×

60⋅ s ⎞
1quart
⎛ 1⋅ gal
⋅
⎜ 4⋅ quart ⋅
3 1min
0.000946m
⋅
⎝
⎠

2

Problem 1.40

Given:

[Difficulty: 2]

Air at standard conditions – p = 29.9 in Hg, T = 59°F
Uncertainty in p is ± 0.1 in Hg, in T is ± 0.5°F
Note that 29.9 in Hg corresponds to 14.7 psia

Find:

Air density using ideal gas equation of state; Estimate of uncertainty in calculated value.

Solution:

ρ=

in 2
lbf
lb ⋅o R
1
p
144
×
×
= 14.7 2 ×
ft 2
in 53.3 ft ⋅ lbf 519o R
RT

The uncertainty in density is given by

1

⎡⎛ p ∂ρ ⎞ 2 ⎛ T ∂ρ ⎞ 2 ⎤ 2
u ρ = ⎢⎜⎜
u p ⎟⎟ + ⎜⎜
uT ⎟⎟ ⎥
⎢⎣⎝ ρ ∂p ⎠ ⎝ ρ ∂T ⎠ ⎥⎦
p ∂ρ
RT
1
= RT
=
= 1;
ρ ∂p
RT RT
T ∂ρ T
p
p
= ⋅−
=−
= −1;
2
ρ ∂T ρ RT
ρRT

± 0.1
= ± 0.334%
29.9
± 0.5
= ± 0.0963%
uT =
460 + 59
up =

Then

[

]

1
2 2

u ρ = u 2p + (− uT )

[

u ρ = ± 0.348% = ± 2.66 × 10 − 4

]

1
2 2

= ± 0.334% 2 + (− 0.0963% )
lbm
ft 3

Problem 1.41

Given:

[Difficulty: 2]

Air in hot air balloon

p = 759 ± 1 mm Hg T = 60 ± 1°C

Find:
Solution:

(a) Air density using ideal gas equation of state
(b) Estimate of uncertainty in calculated value
We will apply uncertainty concepts.

Governing Equations:

ρ=

p

(Ideal gas equation of state)

R⋅ T
1

2
⎡⎛ x ∂R
⎤2
⎞
1
u R = ± ⎢⎜⎜
u x1 ⎟⎟ + L⎥
⎢⎣⎝ R ∂x1
⎥⎦
⎠

We can express density as:

3

ρ = 101⋅ 10 ×

N
2

×

m

kg⋅ K
287⋅ N ⋅ m

×

(Propagation of Uncertainties)

1
333⋅ K

kg

= 1.06

3

kg

ρ = 1.06

m

3

m

1

So the uncertainty in the density is:

⎡⎛ p ∂ρ ⎞ 2 ⎛ T ∂ρ ⎞ 2 ⎤ 2
u ρ = ± ⎢⎜⎜
u p ⎟⎟ + ⎜⎜
uT ⎟⎟ ⎥
⎢⎣⎝ ρ ∂p ⎠ ⎝ ρ ∂T ⎠ ⎥⎦

Solving each term separately:

1
p ∂ρ
= RT
=1
ρ ∂p
RT
T ∂ρ T ⎛ − p
= ⎜
ρ ∂T ρ ⎝ RT 2

Therefore:

[

p
⎞
= −1
⎟=−
RT
⎠

u ρ = ± (u p ) + (− uT )
2

up =

]

1
2 2

[

uT =

1
759
1
333

= ± (0.1318% ) + (− 0.3003% )

kg ⎞
⎛
u ρ = ±0.328% ⎜ ± 3.47 × 10 −3 3 ⎟
m ⎠
⎝

2

= 0.1318%
⋅

= 0.3003%
⋅

]

1
2 2

Problem 1.42

[Difficulty: 2]

m = 1.62 ± 0.01oz (20 to 1)
D = 1.68 ± 0.01in. (20 to 1)

Given:

Standard American golf ball:

Find:

Density and specific gravity; Estimate uncertainties in calculated values.

Solution:

Density is mass per unit volume, so

ρ=

m
m
m
3
6 m
=4 3 =
=
3
4π (D 2) π D 3
V 3 πR

ρ=

6

π

×1.62 oz ×

1
0.4536 kg
in.3
×
×
= 1130 kg/m 3
3
3
3
3
16 oz
(1.68) in.
(0.0254) m

SG =

and

ρ
ρH O

= 1130

2

kg
m3
×
= 1.13
m 3 1000 kg
1

2
2
⎡⎛ m ∂ρ
⎞ ⎛ D ∂ρ
⎞ ⎤2
u ρ = ⎢⎜⎜
u m ⎟⎟ + ⎜⎜
u D ⎟⎟ ⎥
⎣⎢⎝ ρ ∂m ⎠ ⎝ ρ ∂D ⎠ ⎥⎦

The uncertainty in density is given by

m ∂ρ m 1 ∀
=
= = 1;
ρ ∂m ρ ∀ ∀

um =

D ∂ρ D ⎛
6m ⎞
6 m
= −3;
= ⋅ ⎜ − 3 4 ⎟ = −3
ρ ∂D ρ ⎝ πD ⎠
π ρD 4

± 0.01
= ± 0.617%
1.62

uD =

± 0.1
= ± 0.595%
1.68

Thus

[

]

1
2 2

u ρ = ± u + (− 3u D )
2
m

[

]

1
2 2

= ± 0.617% + (− 3 × 0.595% )
2

u ρ = ±1.89% = ± 21.4

u SG = u ρ = ±1.89% = ± 0.0214
Finally,

ρ = 1130 ± 21.4 kg/m 3
SG = 1.13 ± 0.0214

(20 to 1)
(20 to 1)

kg
m3

Problem 1.43

Given:

[Difficulty: 2]

Pet food can
H = 102 ± 1 mm (20 to 1)
D = 73 ± 1 mm (20 to 1)
m = 397 ± 1 g

(20 to 1)

Find:

Magnitude and estimated uncertainty of pet food density.

Solution:

Density is

ρ=

m
m
4 m
or ρ = ρ ( m, D, H )
=
=
2
∀ πR H π D 2 H
1
2

From uncertainty analysis:

⎡⎛ m ∂ρ
⎞ ⎛ D ∂ρ
⎞ ⎛ H ∂ρ
⎞ ⎤
u ρ = ± ⎢⎜⎜
u m ⎟⎟ + ⎜⎜
u D ⎟⎟ + ⎜⎜
u H ⎟⎟ ⎥
⎢⎣⎝ ρ ∂m ⎠ ⎝ ρ ∂D ⎠ ⎝ ρ ∂H
⎠ ⎥⎦

Evaluating:

m ∂ρ m 4 1
±1
1 4m
um =
=
=
= 1;
= ±0.252%
ρ ∂m ρ π D 2 H ρ πD 2 H
397
D ∂ρ D
4m
1 4m
±1
.
= ( −2)
= ( −2)
= −2; u D =
= ±137%
3
2
ρ ∂D ρ
ρ
73
πD H
πD H
4m
1 4m
H ∂ρ H
±1
= ( −1)
= ( −1)
= −1; u H =
= ±0.980%
2 2
2
ρ ∂H ρ
ρ πD H
102
πD H

2

Substituting:

[

2

2

2

2

u ρ = ±2.92%

∀=

π
4

D2 H =

π
4

× (73) 2 mm 2 × 102 mm ×

m3
9

10 mm

397 g
kg
m
×
= 930 kg m 3
ρ= =
−4 3
∀ 4.27 × 10 m
1000 g

Thus:

]

1
2 2

u ρ = ± (1 × 0.252 ) + (− 2 × 1.37 ) + (− 1 × 0.980)

ρ = 930 ± 27.2 kg m 3 (20 to 1)

3

= 4.27 × 10 −4 m 3

Problem 1.44

Given:

[Difficulty: 2]

Mass flow rate of water determine by collecting discharge over a timed interval is 0.2 kg/s.

Scales can be read to nearest 0.05 kg.
Stopwatch can be read to nearest 0.2 s.

Find:

Estimate precision of flow rate calculation for time intervals of (a) 10 s, and (b) 1 min.

Solution:

Apply methodology of uncertainty analysis, Appendix F:

m =

∆m
∆t
1

Computing equations:

2
2
⎡⎛ ∆m ∂m
⎞ ⎛ ∆t ∂m
⎞ ⎤2
u ∆t ⎟ ⎥
u ∆m ⎟ + ⎜
u m = ± ⎢⎜
⎠ ⎝ m ∂∆t
⎠ ⎦⎥
⎣⎢⎝ m ∂∆m

∆m ∂m
1
= ∆t
= 1 and
m ∂∆m
∆t

Thus

∆t ∂m ∆t 2
∆m
=
⋅ − 2 = −1
m ∂∆t ∆m ∆t

The uncertainties are expected to be ± half the least counts of the measuring instruments.
Tabulating results:
Water
Time
Interval, ∆t

Uncertainty
Error in ∆t

in ∆t

(s)
(s)

Collected,

Error in ∆m

∆m

(kg)

(%)

Uncertainty

Uncertainty

in ∆m


in m

(%)

(%)

(kg)

10

± 0.10

± 1.0

2.0

± 0.025

± 1.25

± 1.60

60

± 0.10

± 0.167

12.0

± 0.025

± 0.208

± 0.267

A time interval of about 15 seconds should be chosen to reduce the uncertainty in results to ± 1 percent.

Problem 1.45

[Difficulty: 3]

Given:

Nominal mass flow rate of water determined by collecting discharge (in a beaker) over a timed
 = 100 g s ; Scales have capacity of 1 kg, with least count of 1 g; Timer has least
interval is m
count of 0.1 s; Beakers with volume of 100, 500, 1000 mL are available – tare mass of 1000 mL
beaker is 500 g.

Find:

Estimate (a) time intervals, and (b) uncertainties, in measuring mass flow rate from using each of
the three beakers.

Solution:

To estimate time intervals assume beaker is filled to maximum volume in case of 100 and 500 mL
beakers and to maximum allowable mass of water (500 g) in case of 1000 mL beaker.
 =
m

Then
Tabulating results

∆m
∆t

∆t =

and

∆m ρ∆∀
=


m
m

∆∀ = 100 mL 500 mL 1000 mL
∆t =

1s

5s

5 s

Apply the methodology of uncertainty analysis, Appendix E. Computing equation:
1

2
2
⎡⎛ ∆m ∂m
⎞ ⎛ ∆t ∂m
⎞ ⎤2
u ∆t ⎟ ⎥
u ∆m ⎟ + ⎜
u m = ± ⎢⎜
⎠ ⎝ m ∂∆t
⎠ ⎥⎦
⎣⎢⎝ m ∂∆m

The uncertainties are ± half the least counts of the measuring instruments: δ∆m = ±0.5 g

1
∆m ∂m
= ∆t = 1 and
m ∂∆m
∆t

∆t ∂m ∆t 2 ∆m
= −1
⋅−
=
m ∂∆t ∆m ∆t 2

δ∆t = 0.05 s

[

2

]

1
2 2

∴ u m = ± u ∆m + (− u ∆t )

Tabulating results:
Beaker
Volume ∆∀
(mL)
100
500
1000

Water
Collected
∆m(g)
100
500
500

Error in ∆m
(g)

Uncertainty
in ∆m (%)

± 0.50
± 0.50
± 0.50

± 0.50
± 0.10
± 0.10

Time
Interval ∆t
(s)
1.0
5.0
5.0

Error in ∆t
(s)

Uncertainty
in ∆t (%)

Uncertainty
 (%)
in m

± 0.05
± 0.05
± 0.05

± 5.0
± 1.0
± 1.0

± 5.03
± 1.0
± 1.0

Since the scales have a capacity of 1 kg and the tare mass of the 1000 mL beaker is 500 g, there is no advantage in
 could be reduced to ± 0.50 percent by using the large beaker if a scale
using the larger beaker. The uncertainty in m
with greater capacity the same least count were available

Problem 1.46

Given:

[Difficulty: 2]

Standard British golf ball:
m = 45.9 ± 0.3 g (20 to 1)
D = 411
. ± 0.3 mm (20 to 1)

Find:

Density and specific gravity; Estimate of uncertainties in calculated values.

Solution:

Density is mass per unit volume, so

ρ=

m
=
∀

ρ=

6

π

m
4
πR 3
3

=

m
3
6 m
=
3
π D3
4π ( D 2)

× 0.0459 kg ×

1

m 3 = 1260 kg m 3

(0.0411) 3

and

ρ

SG =

ρH 2 O

= 1260

kg
m3

×

m3
= 126
.
1000 kg

The uncertainty in density is given by
⎡⎛ m
uρ = ± ⎢⎜⎜
⎢⎣⎝ ρ
m ∂ρ m
=
ρ ∂m ρ

1

2

∂ρ ⎞ ⎛ D ∂ρ ⎞
um ⎟ + ⎜
uD ⎟
∂m ⎟⎠ ⎜⎝ ρ ∂D ⎟⎠

2

⎤2
⎥
⎥⎦

1 ∀
= = 1;
∀ ∀

um = ±

6 m⎞
D ∂D D ⎛
⎛ 6m ⎞
= −3⎜ 4 ⎟ = −3;
= ⎜− 3
4 ⎟
ρ ∂m ρ ⎝ π D ⎠
⎝ πD ⎠

Thus

[

u ρ = ± u m + (− 3u D )
2

]

1
2 2

uD = ±

[

0.3
= ±0.730%
41.1

= ± 0.654 2 + (− 3 × 0.730 )

u ρ = ± 2.29% = ± 28.9 kg m 3
u SG = u ρ = ± 2.29% = ± 0.0289
Summarizing

0.3
= ±0.654%
45.9

ρ = 1260 ± 28.9 kg m 3 (20 to 1)
. ± 0.0289 (20 to 1)
SG = 126

]

1
2 2

Problem 1.47

[Difficulty: 3]

Given:

Soda can with estimated dimensions D = 66.0 ± 0.5 mm, H = 110 ± 0.5 mm. Soda has SG = 1.055

Find:

Volume of soda in the can (based on measured mass of full and empty can); Estimate average
depth to which the can is filled and the uncertainty in the estimate.

Solution:

Measurements on a can of coke give
m f = 386.5 ± 0.50 g, m e = 17.5 ± 0.50 g ∴ m = m f − m e = 369 ± u m g
⎡⎛ m ∂m
f
um
u m = ⎢⎜
⎢⎜⎝ m ∂m f f
⎣

1

2
⎞ ⎛ me ∂m
⎞ ⎤
⎟ +⎜
⎥
⎟
u
m
e ⎟
⎟ ⎜ m ∂m
e
⎠ ⎥⎦
⎠ ⎝
0.5 g
0.50
=±
= ±0.00129, u me = ±
= 0.0286
386.5 g
17.5

u mf

2

2

1

2
2
⎡⎛ 386.5
⎞ ⎛ 17.5
⎞ ⎤2
u m = ± ⎢⎜
×1× 0.00129 ⎟ + ⎜
×1× 0.0286 ⎟ ⎥ = ±0.0019
⎠ ⎝ 369
⎠ ⎦⎥
⎣⎢⎝ 369

Density is mass per unit volume and SG = ρ/ρΗ2Ο so
∀=

m

ρ

=

1
m
m3
kg
= 369 g ×
×
×
= 350 × 10 −6 m 3
ρH 2 O SG
.
1000 kg 1055
1000 g

The reference value ρH2O is assumed to be precise. Since SG is specified to three places beyond the decimal point,
assume uSG = ± 0.001. Then
1

2
⎡⎛ m ∂v ⎞ 2 ⎛ SG ∂v
⎞ ⎤2
u SG ⎟ ⎥
um ⎟ + ⎜
u v = ⎢⎜
⎠ ⎥⎦
⎢⎣⎝ v ∂m ⎠ ⎝ v ∂SG

[

∀=

πD
4

2

2

L or

L=

]

1
2 2

u v = ± (1× 0.0019 ) + (− 1× 0.001)

= ±0.0021 = ±0.21%

4∀ 4 350 ×10 −6 m 3 10 3 mm
= ×
×
= 102 mm
πD 2 π
0.066 2 m 2
m

1

⎡⎛ ∀ ∂L ⎞ 2 ⎛ D ∂L ⎞ 2 ⎤ 2
u L = ⎢⎜
uD ⎟ ⎥
u∀ ⎟ + ⎜
⎢⎣⎝ L ∂∀ ⎠ ⎝ L ∂D ⎠ ⎥⎦
∀ ∂L
4 πD 2
=
=1
L ∂∀ πD 2 4
4∀
4∀
0.5
D ∂L D
= ⋅ −2 3 = −2 2 = −2; u D = ±
= ±0.0076
πD
πD L
66
L ∂D L

[

2

]

1
2 2

u L = ± (1× 0.0021) + (− 2 × 0.0076 )

= ±0.0153 = ±1.53%

Notes:

1.
2.

Printing on the can states the content as 355 ml. This suggests that the implied accuracy of the SG value may be
over stated.
Results suggest that over seven percent of the can height is void of soda.

Problem 1.48

Given:

Data on water

Find:

Viscosity; Uncertainty in viscosity

[Difficulty: 3]

Solution:
The data is:

 5 Ns

A  2.414  10



2

B  247.8 K

C  140  K

T  303  K

m

0.5 K

uT 

The uncertainty in temperature is

u T  0.171 %

293 K

B

Also

μ( T)  A 10

( T C)

 3 Ns

μ ( 293 K )  1.005  10

Evaluating



2

m
A  B ln( 10)

d
μ ( T)  
dT

For the uncertainty

B

10

Hence

u μ( T) 

T

d
μ( T)  u T
μ( T) dT




C T

ln( 10)  B T u T



CT



2

 ( C  T)

2

Evaluating

u μ( T)  1.11 %

Problem 1.49

[Difficulty: 4]

Given:

Dimensions of soda can: D = 66 mm, H = 110 mm

Find:

Measurement precision needed to allow volume to be estimated with an
uncertainty of ± 0.5 percent or less.

Solution:

H

Use the methods of Appendix F:

Computing equations:

D
∀=

πD H
2

4
1

⎡⎛ H ∂∀ ⎞2 ⎛ D ∂∀ ⎞2 ⎤ 2
u ∀ = ± ⎢⎜
uH ⎟ + ⎜
uD ⎟ ⎥
⎣⎢⎝ ∀ ∂H ⎠ ⎝ ∀ ∂D ⎠ ⎥⎦
Since ∀ =

π D2 H
4

, then

∂∀
∂H

= π D4 and
2

∂∀
∂D

δx
δx
= π DH
2 . Letting u D = ± D and u H = ± H , and substituting,
1

1

⎡⎛ 4H π D 2 δ x ⎞2 ⎛ 4D π DH δ x ⎞ 2 ⎤ 2
⎡⎛ δ x ⎞ 2 ⎛ 2δ x ⎞ 2 ⎤ 2
u ∀ = ± ⎢⎜
⎟ +⎜
⎟ ⎥ = ± ⎢⎜ ⎟ + ⎜
⎟ ⎥
2
2
⎢⎣⎝ π D H 4 H ⎠ ⎝ π D H 2 D ⎠ ⎥⎦
⎢⎣⎝ H ⎠ ⎝ D ⎠ ⎦⎥

⎛ δ x ⎞ ⎛ 2δ x ⎞
2
=⎜ ⎟ +⎜
⎟ = (δ x)
⎝H⎠ ⎝ D ⎠
2

Solving,

u∀

2

δx=±

2

u∀
1

1 2
2 2 2
⎣⎡( H ) + ( D ) ⎦⎤

=±

⎡
⎣⎢

(

⎡⎛ 1 ⎞ 2 ⎛ 2 ⎞ 2 ⎤
⎢⎜ ⎟ + ⎜ ⎟ ⎥
⎣⎢⎝ H ⎠ ⎝ D ⎠ ⎦⎥
0.005

1
110 mm

) +(
2

2
66 mm

)

2

1

⎤2
⎦⎥

= ±0.158 mm

Check:

uH = ±
uD = ±

δx
H

δx
D

=±

0.158 mm
= ±1.44 × 10−3
110 mm

=±

0.158 mm
= ±2.39 × 10−3
66 mm

u ∀ = ±[(u H ) 2 + (2u D ) 2 ] 2 = ±[(0.00144) 2 + (0.00478) 2 ] 2 = ±0.00499
1

1

If δx represents half the least count, a minimum resolution of about 2 δx ≈ 0.32 mm is needed.

Problem 1.50

[Difficulty: 3]

Given:

Lateral acceleration, a = 0.70 g, measured on 150-ft diameter skid pad; Uncertainties in Path
deviation ±2 ft; vehicle speed ±0.5 mph

Find:

Estimate uncertainty in lateral acceleration; ow could experimental procedure be improved?

Solution:

Lateral acceleration is given by a = V2/R.

From Appendix F, u a = ±[(2 u v ) 2 + ( u R ) 2 ]1/ 2

From the given data,

V 2 = aR; V = aR = 0.70 × 32.2

Then

uv = ±

and

uR = ±

δV
V

δR
R

= ±0.5

ft
ft
× 75 ft = 41.1
2
s
s

mi
s
ft
hr
×
× 5280
×
= ±0.0178
mi 3600 s
hr 41.1 ft

= ±2 ft ×

1
= ±0.0267
75 ft

so
u a = ± (2 × 0.0178) 2 + (0.0267) 2

1/ 2

= ±0.0445

u a = ±4.45 percent

Experimental procedure could be improved by using a larger circle, assuming the absolute errors in measurement are
constant.
For

D = 400 ft; R = 200 ft
V 2 = aR; V = aR = 0.70 × 32.2

ft
ft
× 200 ft = 67.1 = 45.8 mph
2
s
s

0.5
2
= ±0.0109; u R = ±
= ± 0.0100
45.8
200
2
u a = ± (2 × 0.0109) + 0.0100 2 = ± 0.0240 = ± 2.4%
uV = ±

[

]

Given data:
H=
δL =
δθ =

57.7
0.5
0.2

ft
ft
deg

For this building height, we are to vary θ (and therefore L ) to minimize the uncertainty u H.

Plotting u H vs θ

5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85

uH
4.02%
2.05%
1.42%
1.13%
1.00%
0.95%
0.96%
1.02%
1.11%
1.25%
1.44%
1.70%
2.07%
2.62%
3.52%
5.32%
10.69%

Uncertainty in Height (H = 57.7 ft) vs θ
12%
10%
8%
uH

θ (deg)

6%
4%
2%
0%
0

10

20

30

40

50

60

70

80

90

θ (o)

Optimizing using Solver
θ (deg)
31.4

uH
0.947%

To find the optimum θ as a function of building height H we need a more complex Solver
θ (deg)

50
75
100
125
175
200
250
300
400
500
600
700
800
900
1000

29.9
34.3
37.1
39.0
41.3
42.0
43.0
43.5
44.1
44.4
44.6
44.7
44.8
44.8
44.9

uH
0.992%
0.877%
0.818%
0.784%
0.747%
0.737%
0.724%
0.717%
0.709%
0.705%
0.703%
0.702%
0.701%
0.700%
0.700%

Use Solver to vary ALL θ's to minimize the total u H!
Total u H's:

11.3%

Optimum Angle vs Building Height
50
40
θ (deg)

H (ft)

30
20
10
0
0

100

200

300

400

500
H (ft)

600

700

800

900

1000

Problem 1.52

[Difficulty: 4]

Given:

American golf ball, m = 1.62 ± 0.01 oz, D = 1.68 in.

Find:

Precision to which D must be measured to estimate density within uncertainty of ± 1percent.

Solution:

Apply uncertainty concepts

Definition: Density,

ρ≡

m
∀

∀ = 34 π R 3 = π D6

3

1

2
⎡⎛ x ∂R
⎤2
⎞
u R = ± ⎢⎜ 1
u x1 ⎟ + L⎥
⎢⎣⎝ R ∂x1
⎥⎦
⎠

Computing equation:

From the definition,

ρ = π Dm = π6Dm = ρ (m, D)
3/6

Thus

m ∂ρ
ρ ∂m

= 1 and

D ∂ρ
ρ ∂D

3

= 3 , so

u ρ = ±[(1 u m ) 2 + (3 u D ) 2 ] 2
1

u 2ρ = u m 2 + 9 u 2D
Solving,

u D = ± 13 [u ρ 2 − u m2 ] 2
1

From the data given,

u ρ = ±0.0100
um =

±0.01 oz
= ±0.00617
1.62 oz

1
1
u D = ± [(0.0100) 2 − (0.00617) 2 ] 2 = ±0.00262 or ± 0.262%
3
Since u D = ± δDD , then

δ D = ± D u D = ±1.68 in.x 0.00262 = ± 0.00441 in.
The ball diameter must be measured to a precision of ± 0.00441 in.( ± 0.112 mm) or better to estimate density
within ± 1percent. A micrometer or caliper could be used.

Problem 1.53

[Difficulty: 5]

δV = 0.001⋅

in

δD = 0.0005⋅ in

Given:

Syringe pump to deliver 100 mL/min

Find:

(a) Plot uncertainty in flow rate as a function of bore.
(b) Find combination of piston speed and bore resulting in minimum uncertainty in flow rate.

Solution:

min

We will apply uncertainty concepts.

Q=

Governing Equations:

π
4

2

⋅D ⋅V

(Flow rate in syringe pump)
1

2
⎡⎛ x ∂R
⎤2
⎞
1
u R = ± ⎢⎜⎜
u x1 ⎟⎟ + L⎥
⎢⎣⎝ R ∂x1
⎥⎦
⎠

Now solving for the piston speed in terms of the bore:

V( D) =

(Propagation of Uncertainties)

4⋅ Q
2

π⋅ D

So the uncertainty in the flow rate is:

[

u Q = ± (2u D ) + (uV )
2

]

1
2 2

where

1
2

⎡⎛ D ∂Q ⎞ ⎛ V ∂Q ⎞ ⎤
⎡⎛ D 2Q ⎞ ⎛ V Q
u Q = ± ⎢⎜⎜
u D ⎟⎟ + ⎜⎜
uV ⎟⎟ ⎥ = ± ⎢⎜⎜
u D ⎟⎟ + ⎜⎜
uV
Q
D
Q
V
⎢⎣⎝ Q ∂D ⎠ ⎝ Q ∂V
⎥
⎢
⎠ ⎦
⎠ ⎝
⎣⎝
2

uD =

δD
D

uv =

δV

2

2

The uncertainty is minimized when

V

∂u Q
∂D

⎞
⎟⎟
⎠

2

⎤
⎥
⎥⎦

1
2

=0

1

Substituting expressions in terms of bore we get:

⎡ 32 δD⋅ Q ⎞ 2⎤
⎥
Dopt = ⎢ ⋅ ⎛⎜
⎢ π2 ⎝ δV ⎠ ⎥
⎣
⎦

Substituting all known values yields

Dopt = 1.76⋅ in

Plugging this into the expression for the piston speed yields

in
Vopt = 2.50⋅
min

6

and the uncertainty is

u opt = 0.0694⋅ %

Graphs of the piston speed and the uncertainty in the flowrate as a function of the bore are shown on the following page.

10

0.3

6

0.2

4
0.1
2
Piston Speed
Uncertainty
0

0

1

2

3
Bore (in)

4

0
5

Uncertainty in Flowrate (%)

Piston Speed (in/min)

8

Problem 2.1

Given:

Velocity fields

Find:

Whether flows are 1, 2 or 3D, steady or unsteady.

[Difficulty: 1]

Solution:
(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)

→ →
V = V ( x , y)
→ →
V = V ( x , y)
→ →
V = V ( x)
→ →
V = V ( x)
→ →
V = V ( x)
→ →
V = V ( x , y)
→ →
V = V ( x , y)
→ →
V = V ( x , y , z)

2D
2D
1D
1D
1D
2D
2D
3D

→ →
V = V ( t)
→ →
V ≠ V ( t)
→ →
V ≠ V ( t)
→ →
V ≠ V ( t)
→ →
V = V ( t)
→ →
V ≠ V ( t)
→ →
V = V ( t)
→ →
V ≠ V ( t)

Unsteady
Steady
Steady
Steady
Unsteady
Steady
Unsteady
Steady

Problem 2.2

Given:

Velocity fields

Find:

Whether flows are 1, 2 or 3D, steady or unsteady.

[Difficulty: 1]

Solution:
(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)

→ →
V = V ( y)
→ →
V = V ( x)
→ →
V = V ( x , y)
→ →
V = V ( x , y)
→ →
V = V ( x)
→ →
V = V ( x , y , z)
→ →
V = V ( x , y)
→ →
V = V ( x , y , z)

1D
1D
2D
2D
1D
3D
2D
3D

→ →
V = V ( t)
→ →
V ≠ V ( t)
→ →
V = V ( t)
→ →
V = V ( t)
→ →
V = V ( t)
→ →
V ≠ V ( t)
→ →
V = V ( t)
→ →
V ≠ V ( t)

Unsteady
Steady
Unsteady
Unsteady
Unsteady
Steady
Unsteady
Steady

Problem 2.3

Given:

Viscous liquid sheared between parallel disks.
Upper disk rotates, lower fixed.
Velocity field is:


rω z
V = eˆθ
h

Find:
a.

Dimensions of velocity field.

b.

Satisfy physical boundary conditions.





To find dimensions, compare to V = V ( x, y , z ) form.

Solution:





The given field is V = V (r , z ) . Two space coordinates are included, so the field is 2-D.
Flow must satisfy the no-slip condition:



1.

At lower disk, V = 0 since stationary.



z = 0, so V = eˆθ

rω 0
= 0 , so satisfied.
h



2.

At upper disk, V = eˆθ rω since it rotates as a solid body.



z = h, so V = eˆθ

rω h
= eˆθ rω , so satisfied.
h

[Difficulty: 2]

Problem 2.4

Given:

Velocity field

Find:

Equation for streamlines

[Difficulty: 1]

Streamline Plots

Solution:
v
u
So, separating variables

dy



dy
y

dx





B x y
2

2

A x  y



C=1
C=2
C=3
C=4

B y
4

A x

B dx

A x

y (m)

For streamlines

5

3
2

Integrating

The solution is

ln( y ) 

y

B
A

1

 ln( x )  c    ln( x )  c
2

1

C
x

0

1

2

3

x (m)
The plot can be easily done in Excel.

4

5

Problem 2.5

[Difficulty: 2]

Given:

Velocity field

Find:

Equation for streamlines; Plot several in the first quadrant, including one that passes through point (0,0)

Solution:
Governing equation: For streamlines

v
u



dy



dy

dx

Assumption: 2D flow

Hence

v
u

So, separating variables

dy

dx





A y
A x



y

Streamline Plots

x

5
4

Integrating

ln( y )  ln( x )  c

3

The solution is

ln( x  y )  c

or

y

C

y (m)

x

y

C=1
C=2
C=3
C=4

dx

2
1

x
0

1

The plot can be easily done in Excel.

The streamline passing through (0,0) is given by the vertical axis, then the horizontal axis.
The value of A is irrelevant to streamline shapes but IS relevant for computing the velocity at each point.

2

3

x (m)

4

5

Problem 2.6

[Difficulty: 1]

Given:

Velocity field

Find:

Whether field is 1D, 2D or 3D; Velocity components at (2,1/2); Equation for streamlines; Plot

Solution:
The velocity field is a function of x and y. It is therefore 2D.
u = a⋅ x ⋅ y = 2 ⋅

At point (2,1/2), the velocity components are

1

1

2

v = b ⋅ y = −6 ⋅

v

For streamlines

=

u
dy

So, separating variables

y

=

dy

=

dx

× 2⋅ m ×

m⋅ s

b⋅ y

×

m⋅ s
2

a⋅ x ⋅ y

1
2

⎛ 1 ⋅ m⎞
⎜2
⎝
⎠

⋅m

2

u = 2⋅

m
s

3 m
v=− ⋅
2 s

b⋅ y

=

a⋅ x

b dx
⋅
a x
b

b

ln( y ) =

Integrating

a

⋅ ln( x) + c

y = C⋅ x

a

−3

y = C⋅ x

The solution is

The streamline passing through point (2,1/2) is given by

1
2

−3

= C⋅ 2

C =

1 3
⋅2
2

C= 4

y=

4
3

x

20

Streamline for C
Streamline for 2C
Streamline for 3C
Streamline for 4C

16
12
8
4

1

This can be plotted in Excel.

1.3

1.7

2

t=0

x
0.05
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
1.10
1.20
1.30
1.40
1.50
1.60
1.70
1.80
1.90
2.00

c=1
y
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00

c=2
y
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00

c=3
y
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00

t =1 s
(### means too large to view)
c=1 c=2 c=3
x
y
y
y
0.05 20.00 40.00 60.00
0.10 10.00 20.00 30.00
0.20
5.00 10.00 15.00
0.30
3.33
6.67 10.00
0.40
2.50
5.00
7.50
0.50
2.00
4.00
6.00
0.60
1.67
3.33
5.00
0.70
1.43
2.86
4.29
0.80
1.25
2.50
3.75
0.90
1.11
2.22
3.33
1.00
1.00
2.00
3.00
1.10
0.91
1.82
2.73
1.20
0.83
1.67
2.50
1.30
0.77
1.54
2.31
1.40
0.71
1.43
2.14
1.50
0.67
1.33
2.00
1.60
0.63
1.25
1.88
1.70
0.59
1.18
1.76
1.80
0.56
1.11
1.67
1.90
0.53
1.05
1.58
2.00
0.50
1.00
1.50

t = 20 s

x
0.05
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
1.10
1.20
1.30
1.40
1.50
1.60
1.70
1.80
1.90
2.00

c=1
y
######
######
######
######
######
######
######
######
86.74
8.23
1.00
0.15
0.03
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00

c=2
y
######
######
######
######
######
######
######
######
173.47
16.45
2.00
0.30
0.05
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00

c=3
y
######
######
######
######
######
######
######
######
260.21
24.68
3.00
0.45
0.08
0.02
0.00
0.00
0.00
0.00
0.00
0.00
0.00

Streamline Plot (t = 0)
3.5

c=1
3.0

c=2
c=3

2.5

y

2.0
1.5
1.0
0.5
0.0
0.0

0.5

1.0

1.5

2.0

x

Streamline Plot (t = 1 s)
70

c=1
60

c=2

50

c=3

y

40
30
20
10
0
0.0

0.5

1.0

1.5

2.0

x

Streamline Plot (t = 20 s)
20
18

c=1

16

c=2

14

c=3

y

12
10
8
6
4
2
0
0.0

0.2

0.4

0.6
x

0.8

1.0

1.2

a=
b=
C=
x
0.05
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
1.10
1.20
1.30
1.40
1.50
1.60
1.70
1.80
1.90
2.00

1
1
0
y
0.16
0.22
0.32
0.39
0.45
0.50
0.55
0.59
0.63
0.67
0.71
0.74
0.77
0.81
0.84
0.87
0.89
0.92
0.95
0.97
1.00

2
y
0.15
0.20
0.27
0.31
0.33
0.35
0.37
0.38
0.39
0.40
0.41
0.41
0.42
0.42
0.43
0.43
0.44
0.44
0.44
0.44
0.45

4
y
0.14
0.19
0.24
0.26
0.28
0.29
0.30
0.30
0.31
0.31
0.32
0.32
0.32
0.32
0.33
0.33
0.33
0.33
0.33
0.33
0.33

6
y
0.14
0.18
0.21
0.23
0.24
0.25
0.26
0.26
0.26
0.27
0.27
0.27
0.27
0.27
0.27
0.27
0.27
0.28
0.28
0.28
0.28

Streamline Plot
1.2
c=0

1.0

c=2
c=4

0.8

c=6

y 0.6

0.4
0.2
0.0
0.0

0.5

1.0
x

1.5

2.0

A = 10
B = 20
C=
1
y
0.50
0.48
0.45
0.43
0.42
0.40
0.38
0.37
0.36
0.34
0.33
0.32
0.31
0.30
0.29
0.29
0.28
0.27
0.26
0.26
0.25

2
y
1.00
0.95
0.91
0.87
0.83
0.80
0.77
0.74
0.71
0.69
0.67
0.65
0.63
0.61
0.59
0.57
0.56
0.54
0.53
0.51
0.50

4
y
2.00
1.90
1.82
1.74
1.67
1.60
1.54
1.48
1.43
1.38
1.33
1.29
1.25
1.21
1.18
1.14
1.11
1.08
1.05
1.03
1.00

6
y
3.00
2.86
2.73
2.61
2.50
2.40
2.31
2.22
2.14
2.07
2.00
1.94
1.88
1.82
1.76
1.71
1.67
1.62
1.58
1.54
1.50

Streamline Plot
3.5
c=1
c=2

3.0

c=4

2.5

c = 6 ((x,y) = (1.2)

2.0

y

x
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
1.10
1.20
1.30
1.40
1.50
1.60
1.70
1.80
1.90
2.00

1.5
1.0
0.5
0.0
0.0

0.5

1.0

x

1.5

2.0

Problem 2.10

[Difficulty: 2]

Given:

Velocity field

Find:

Equation for streamline through (1,3)

Solution:
For streamlines

v
u

So, separating variables

y

A

dy
y




dy
dx

x



2

A



y
x

x

dx
x

Integrating

ln( y )  ln( x )  c

The solution is

y  C x

which is the equation of a straight line.

For the streamline through point (1,3)

3  C 1

C3

and

y  3 x

For a particle

up 

or

x  dx  A dt

x

dx
dt



A
x

2  A t  c

t

x

2

2 A



c
2 A

Hence the time for a particle to go from x = 1 to x = 2 m is
2

∆t  t( x  2 )  t( x  1 )

∆t 

( 2  m)  c
2 A

2

2



( 1  m)  c
2 A



2

4 m  1 m
2

2  2

m
s

∆t  0.75 s

Problem 2.11

[Difficulty: 3]

Given:

Flow field

Find:

Plot of velocity magnitude along axes, and y = x; Equation for streamlines

Solution:
u

On the x axis, y = 0, so
Plotting

M y
2 π

0

v

M x
2 π

200

v (m/s)

150
100
50
0

0.2

0.4

0.6

0.8

1

x (km)
The velocity is perpendicular to the axis and increases linearly with distance x.
This can also be plotted in Excel.
u

On the y axis, x = 0, so

M y

v

2 π

M x
2 π

0

Plotting
0

0.2

0.4

0.6

u (m/s)

 50
 100
 150
 200

y (km)
The velocity is perpendicular to the axis and increases linearly with distance y.
This can also be plotted in Excel.

0.8

1

u

On the y = x
axis
The flow is perpendicular to line y = x:

M y



2 π

M x
2 π

Slope of line y =
x:

2

r

x y

2 π

u
v

 1

2

2

2

then along y =
r x  x 
x
M
M 2 x
M r
2
2
2
2
u v 
 x x 

2 π
2 π
2 π

Then the magnitude of the velocity along y = x is V 
Plotting

M x

1

Slope of trajectory of
motion:
If we define the radial position:

v

2 x

200

V(m/s)

150
100
50
0

0.2

0.4

0.6

0.8

1

r (km)
This can also be plotted in
Excel.
For
streamlines

So, separating
variables

Integrati
ng

M x

v



u

dy
dx

2 π





M y



x
y

2 π

y  dy  x  dx

y

2

2

2



2

x

2

2

c

The solution
x y C
is
The streamlines form a set of concentric circles.

which is the equation of a
circle.

This flow models a rigid body vortex flow. See Example 5.6 for streamline plots. Streamlines are circular, and the velocity
approaches zero as we approach the center. In Problem 2.10, we see that the streamlines are also circular. In a real tornado, at
large distances from the center, the velocities behave as in Problem 2.10; close to the center, they behave as in this problem.

[Difficulty: 3]

Problem 2.12

Given:

Flow field

Find:

Plot of velocity magnitude along axes, and y = x; Equation of streamlines

Solution:
K y

u

On the x axis, y = 0, so

2

2  π x  y

2



Plotting

0

K x

v

2

2  π x  y



2



K
2  π x

160

v( m/s)

80

1

 0.5

0

0.5

1

 80
 160

x (km)
The velocity is perpendicular to the axis, is very high close to the origin, and falls off to zero.
This can also be plotted in Excel.
u

On the y axis, x = 0, so

K y

2
2
2  π  x  y 

Plotting



K
2  π y

v

K x

2
2
2  π  x  y 

0

160

v( m/s)

80

1

 0.5

0
 80
 160

y (km)

0.5

1

The velocity is perpendicular to the axis, is very high close to the origin, and falls off to zero.
This can also be plotted in Excel.
K x

u

On the y = x axis



2

2  π x  x

The flow is perpendicular to line y = x:

2





K

u
v

2

x y

Then the magnitude of the velocity along y = x is

V

2

2

K

2

4 π

Plotting

2

2



K
4  π x

 1
r

then along y = x

u v 



2

1

Slope of trajectory of motion:

r



2

2  π x  x

Slope of line y = x:

If we define the radial position:

K x

v

4  π x

1



x

2



1
x

2



K
2  π 2  x



x x 

2 x

K
2  π r

160

v( m/s)

80

1

 0.5

0

0.5

1

 80
 160

x (km)
This can also be plotted in Excel.
K x

For streamlines

v



u

dy
dx



2

2 π x  y



2



K y



2

2  π x  y
So, separating variables

Integrating

2



x
y

y  dy  x  dx

y

2

2

The solution is



2



2

x

2

2

c

x y C

which is the equation of a
circle.

Streamlines form a set of concentric circles.
This flow models a vortex flow. See Example 5.6 for streamline plots. Streamlines are circular, and the velocity approaches infinity
as we approach the center. In Problem 2.11, we see that the streamlines are also circular. In a real tornado, at large distances from
the center, the velocities behave as in this problem; close to the center, they behave as in Problem 2.11.

Problem 2.13

[Difficulty: 3]

Given:

Flow field

Find:

Plot of velocity magnitude along axes, and y = x; Equations of streamlines

Solution:
q x

u

On the x axis, y = 0, so

2

2  π x  y

2





Plotting

q
2  π x

v

q y

2

2  π x  y



2

0

100

u (m/s)

50
1

 0.5

0

0.5

1

 50
 100

x (km)
The velocity is very high close to the origin, and falls off to zero. It is also along the axis. This can be plotted in Excel.
q x

u

On the y axis, x = 0, so

2

2  π x  y

Plotting

2



0

v

q y

2

2  π x  y



2



q
2  π y

100

v (m/s)

60
20
1

 0.5

 20 0
 60
 100

y (km)
The velocity is again very high close to the origin, and falls off to zero. It is also along the axis.
This can also be plotted in Excel.

0.5

1

u

On the y = x axis



q x
2

2  π x  x
The flow is parallel to line y = x:

2





q

v

4  π x



v
u

2

x y

2

q

2

u v 

Plotting



q
4  π x

4 π



1
x

2

1

r

then along y = x
2

V

Then the magnitude of the velocity along y = x is



2

1

Slope of trajectory of motion:
r

2

2  π x  x

Slope of line y = x:

If we define the radial position:

q x



1
x

2



2

2

x x 
q
2  π 2  x



2 x
q
2  π r

100

V(m/s)

60
20
1

 0.5

 20 0

0.5

 60
 100

r (km)
This can also be plotted in Excel.
q y


For streamlines

v
u



dy
dx

2

2  π x  y






q x
2

2  π x  y
So, separating variables

dy
y



2






y
x

2

dx
x

Integrating

ln( y )  ln( x )  c

The solution is

y  C x

This flow field corresponds to a sink (discussed in Chapter 6).

which is the equation of a straight line.

1

Problem 2.14

[Difficulty: 2]

Given:

Velocity field

Find:

Proof that the parametric equations for particle motion are x p = c1 ⋅ e

A⋅ t

and y p = c2 ⋅ e

− A⋅ t

; pathline that was at

(2,2) at t = 0; compare to streamline through same point, and explain why they are similar or not.

Solution:
Governing equations:

up =

For pathlines

dx

vp =

dt

dy

v

For streamlines

dt

u

=

dy
dx

Assumption: 2D flow

Hence for pathlines

So, separating variables

dx

Eliminating t

vp =
dy
y

ln( x ) = A⋅ t + C1
x=e

The pathlines are

= A⋅ x

dt

= A⋅ dt

x
Integrating

dx

up =

A⋅ t+ C1

x = c1 ⋅ e

t=

=e

C1 A ⋅ t

⋅e

= c1 ⋅ e

A⋅ t

v
u

So, separating variables

dy
y

=

dy
dx

=−

A⋅ y
A⋅ x

=

=e

C2 − A ⋅ t

⋅e

A A

x ⋅y

= c2 ⋅ e

= const or

x⋅ y = 4

y
x

x

ln( y ) = −ln( x ) + c

The solution is

ln( x ⋅ y ) = c

or

x ⋅ y = const

or

x⋅ y = 4

for given data

The streamline passing through (2,2) and the pathline that started at (2,2) coincide because the flow is steady!

( A A) = const

ln x ⋅ y

dx

Integrating

− A⋅ t

− A⋅ t

⎛ 1 1⎞
⎜ A A
ln⎝ x ⋅ y ⎠ = const or

x

=−

− A⋅ t+ C2

y = c2 ⋅ e

so
For streamlines

= −A⋅ y

= −A⋅ dt

y=e

A⋅ t

⋅ ln⎛⎜

dt

ln( y ) = −A⋅ t + C2

⎞ = − 1 ⋅ ln⎛ y ⎞
A
A ⎜ c2
⎝ c1 ⎠
⎝ ⎠
1

dy

for given data

Problem 2.15

[Difficulty: 2]

Given:

Velocity field

Find:

Proof that the parametric equations for particle motion are x p = c1 ⋅ e

A⋅ t

and y p = c2 ⋅ e

2⋅ A ⋅ t

; pathline that was at

(2,2) at t = 0; compare to streamline through same point, and explain why they are similar or not.

Solution:
Governing equations:

up =

For pathlines

dx

vp =

dt

dy
dt

v

For
streamlines

u

=

dy
dx

Assumption: 2D flow

Hence for pathlines

So, separating variables

up =
dx

Eliminating t

For streamlines

x = c1 ⋅ e

y = c2 ⋅ e

v

=

u
So, separating variables

dy
y

A⋅ t+ C1

dy
y

=

dy
dx

ln⎛

or

y = C⋅ x

= 2 ⋅ A⋅ dt

C1 A ⋅ t

⋅e

= c1 ⋅ e

A⋅ t

y=e

2⋅ A⋅ t+ C2

y = c2 ⋅ e

2⋅ A ⋅ t

=

= 2 ⋅ A⋅ y

dt

ln( y ) = 2 ⋅ A⋅ t + C2

A⋅ t

x
= c2 ⋅ ⎛⎜ ⎞
⎝ c1 ⎠

2 ⋅ A⋅ y

2 ⋅ dx

The solution is

=e

dy

vp =

ln( x ) = A⋅ t + C1
x=e

The pathlines are

= A⋅ x

dt

= A⋅ dt

x
Integrating

dx

A⋅ x

=

2

so

y = c⋅ x

=e

C2 2⋅ A ⋅ t

⋅e

or

y=

2⋅ y
x
ln( y ) = 2 ⋅ ln( x ) + c

Integrating

y ⎞
⎜ 2 =c
⎝x ⎠
2

or

y=

1
2

⋅x

2⋅ A ⋅ t

2⋅ A ⋅ t

2

x

= c2 ⋅ e

2

for given data

The streamline passing through (2,2) and the pathline that started at (2,2) coincide because the flow is steady!

1
2

⋅x

2

for given data

t=0
x
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
1.10
1.20
1.30
1.40
1.50
1.60
1.70
1.80
1.90
2.00

t =1 s
C=1
y
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00

C=2
y
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00

C=3
y
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00
3.00

x
0.000
0.025
0.050
0.075
0.100
0.125
0.150
0.175
0.200
0.225
0.250
0.275
0.300
0.325
0.350
0.375
0.400
0.425
0.450
0.475
0.500

t = 20 s
C=1
y
1.00
1.00
0.99
0.99
0.98
0.97
0.95
0.94
0.92
0.89
0.87
0.84
0.80
0.76
0.71
0.66
0.60
0.53
0.44
0.31
0.00

C=2
y
1.41
1.41
1.41
1.41
1.40
1.39
1.38
1.37
1.36
1.34
1.32
1.30
1.28
1.26
1.23
1.20
1.17
1.13
1.09
1.05
1.00

C=3
y
1.73
1.73
1.73
1.73
1.72
1.71
1.71
1.70
1.69
1.67
1.66
1.64
1.62
1.61
1.58
1.56
1.54
1.51
1.48
1.45
1.41

x
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
1.10
1.20
1.30
1.40
1.50
1.60
1.70
1.80
1.90
2.00

C=1
y
1.00
1.00
1.00
0.99
0.98
0.97
0.96
0.95
0.93
0.92
0.89
0.87
0.84
0.81
0.78
0.74
0.70
0.65
0.59
0.53
0.45

C=2
y
1.41
1.41
1.41
1.41
1.40
1.40
1.39
1.38
1.37
1.36
1.34
1.33
1.31
1.29
1.27
1.24
1.22
1.19
1.16
1.13
1.10

C=3
y
1.73
1.73
1.73
1.73
1.72
1.72
1.71
1.70
1.69
1.68
1.67
1.66
1.65
1.63
1.61
1.60
1.58
1.56
1.53
1.51
1.48

Streamline Plot (t = 0)
3.5

c=1
c=2
c=3

3.0
2.5

y

2.0
1.5
1.0
0.5
0.0
0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

x

Streamline Plot (t = 1s)
2.0

c=1
c=2
c=3

1.8
1.6
1.4

y

1.2
1.0
0.8
0.6
0.4
0.2
0.0
0.0

0.1

0.2

0.3

0.4

0.5

0.6

x

Streamline Plot (t = 20s)
2.0

c=1
c=2
c=3

1.8
1.6
1.4

y

1.2
1.0
0.8
0.6
0.4
0.2
0.0
0.0

0.5

1.0

1.5
x

2.0

2.5

Problem 2.17

[Difficulty: 4]

Given:

Pathlines of particles

Find:

Conditions that make them satisfy Problem 2.10 flow field; Also Problem 2.11 flow field; Plot pathlines

Solution:
The given pathlines are

x p  a  sin ( ω t)

The velocity field of Problem 2.12 is

u

Ky



2

2 π x  y

y p  a cos( ω t)
K x

v



2

2

2  π x  y



2

If the pathlines are correct we should be able to substitute xp and y p into the velocity field to find the velocity as a function of time:
Ky

u



2

2 π x  y
v

Kx

2 π  x

2

y 
2



2



K  a  cos ( ω t)



2

2

2

2 π a  sin ( ω t)  a  cos ( ω t)



2



K  ( a  sin ( ω t) )

2 π  a  sin ( ω t)
2

2

 a  cos ( ω t) 
2

2





K  cos ( ω t)
2 π a

K  sin ( ω t)

(1)

(2)

2 π a

We should also be able to find the velocity field as a function of time from the pathline equations (Eq. 2.9):
dxp
dt
u

dxp

u
dxp
dt

dt
 a ω cos( ω t)

Comparing Eqs. 1, 2 and 3

u  a ω cos( ω t)  

Hence we see that

a ω 

K
2  π a

K cos( ω t)
2  π a
or

v

(2.9)

v
dyp
dt

 a ω sin( ω t)

v  a ω sin( ω t)  

ω

K
2  π a

(3)

K sin( ω t)
2  π a

for the pathlines to be correct.
2

The pathlines are

a = 300 m
a = 400 m
a = 500 m

400

To plot this in Excel, compute x p and y p
for t ranging from 0 to 60 s, with ω given
by the above formula. Plot y p versus xp.
Note that outer particles travel much
slower!

200

 400

 200

0

200

This is the free vortex flow discussed in
Example 5.6

400

 200

 400

u

The velocity field of Problem 2.11 is

M y

v

2 π

M x
2 π

If the pathlines are correct we should be able to substitute xp and y p into the velocity field to find the velocity as a function of time:
u
v

Recall that

u

M y
2 π

M x
2 π
dxp
dt





M  ( a cos( ω t) )
2 π

M  ( a sin( ω t) )
2 π

u  a ω cos( ω t)  

Hence we see that

ω

2 π



M  a cos( ω t)

(4)

2 π

M  a sin( ω t)

(5)

2 π

 a ω cos( ω t)

Comparing Eqs. 1, 4 and 5

M



v

M  a cos( ω t)
2 π

for the pathlines to be correct.

dyp
dt

 a ω sin( ω t)

v  a ω sin( ω t)  

(3)

M  a sin( ω t)
2 π

The pathlines
To plot this in Excel, compute x p and y p
for t ranging from 0 to 75 s, with ω given
by the above formula. Plot y p versus xp.
Note that outer particles travel faster!

400

200

 400

 200

0

200

400

This is the forced vortex flow discussed in
Example 5.6

 200

 400

 600

a = 300 m
a = 400 m
a = 500 m

Note that this is rigid
body rotation!

Problem 2.18

[Difficulty: 2]

Given:

Time-varying velocity field

Find:

Streamlines at t = 0 s; Streamline through (3,3); velocity vector; will streamlines change with time

Solution:
v

For streamlines

u



dy

At t = 0 (actually all times!)

dx
dy

So, separating variables

y

dy
dx





y



dx

a y  ( 2  cos( ω t) )
a x  ( 2  cos( ω t) )

y
x

x
x

Integrating

ln( y )  ln( x )  c

The solution is

y

C

C 

3

For the streamline through point (3,3)



which is the equation of a hyperbola.

x
3

C1

y

and

1
x

The streamlines will not change with time since dy/dx does not change with time.
At t = 0
5

u  a x  ( 2  cos( ω t) )  5 

1

m

u  45

3

v  a y  ( 2  cos( ω t) )  5 

y

4

2

s

v  45

1

 3 m  3

s

1
s

 3 m  3

m
s

The velocity vector is tangent to the curve;
0

1

2

3

x

4

5

Tangent of curve at (3,3) is

dx
Direction of velocity at (3,3) is

This curve can be plotted in Excel.

dy
v
u


 1

y
x

 1

Problem 2.19

[Difficulty: 3]

Given:

Velocity field

Find:

Plot of pathline traced out by particle that passes through point (1,1) at t = 0; compare to streamlines through same
point at the instants t = 0, 1 and 2s

Solution:
Governing equations:

up =

For pathlines

dx
dt

vp =

dy

v

For streamlines

dt

u

=

dy
dx

Assumption: 2D flow

Hence for pathlines

So, separating variables

Integrating

up =

dx
dt

= A⋅ ( 1 + B⋅ t)

A = 1⋅

⎛

t

⎝

2

2⎞

⎠

s

B = 1⋅

dy

dx = A⋅ ( 1 + B⋅ t) ⋅ dt

x = A⋅ ⎜ t + B⋅

m

y

1

1
2

y=e

The pathlines are

Using given data

2
⎛
t ⎞
x = A⋅ ⎜ t + B⋅
+1
2⎠
⎝

For streamlines

v
u

So, separating variables

Integrating

=

dy
dx

1+ B⋅ t

=

2

s

1

y = c2 ⋅ e
1

y=e

1

2

=e

C2

⋅e

2

1

2

⋅ C⋅ t

= c2 ⋅ e

dy
y

=

C
A

⋅ t⋅ dx
C
A

2

2

⋅ C⋅ t

2

2

⋅ C⋅ t

2

which we can integrate for any given t (t is treated as a constant)

⋅ t⋅ x + c

C
A

⋅ t⋅ x + const

y=

⎛ C ⋅ t⋅ x + const⎞
⎜
⎝A
⎠

( 1+ B⋅ t)

2

⋅ C⋅ t

A⋅ ( 1 + B⋅ t)

( 1 + B⋅ t) ⋅ ln( y ) =

y

1

2

⋅ C⋅ t + C2
2

1

The solution is

C = 1⋅

C⋅ y ⋅ t

=

( 1 + B⋅ t) ⋅

= C⋅ t ⋅ y

⋅ C⋅ t + C2

1

2
⎛
t ⎞
x = A⋅ ⎜ t + B⋅
+ C1
2⎠
⎝

dt

= C⋅ t⋅ dt

ln( y ) =

+ C1

dy

vp =

s

1

y=1

For particles at (1,1) at t = 0, 1, and 2s, using A, B, and C data:

y=x

2

1

y = (2⋅ x − 1)

Streamline and Pathline Plots
5

Streamline (t=0)
Streamline (t=1)
Streamline (t=2)
Pathline

4

y (m)

3

2

1

0

1

2

3

x (m)

4

5

3

Problem 2.20

[Difficulty: 3]

Given:

Velocity field

Find:

Plot of pathline traced out by particle that passes through point (1,1) at t = 0; compare to streamlines through
same point at the instants t = 0, 1 and 2s

Solution:
up =

dx
dt

vp =

= B⋅ x ⋅ ( 1 + A⋅ t)

A = 0.5⋅

For pathlines

Governing equations:

dy

v

For streamlines

dt

u

=

dy
dx

Assumption: 2D flow

up =

Hence for pathlines

dx

So, separating variables

dx
dt

⎛

x=e ⎝

2⎞

t

2⎠

⎝

2

⎠

+ C1

B⋅ ⎜t+ A⋅

t

C1

= e ⋅e ⎝

x = c1 ⋅ e ⎝

⎛

B⋅ ⎜t+ A⋅

For streamlines

x=e ⎝

v
u

So, separating variables

Integrating

=

2⎞

⎛

⎛

Using given data

1

vp =

s

dy
dx

=

( 1 + A⋅ t) ⋅

y

t

B⋅ ⎜t+ A ⋅

The pathlines are

B = 1⋅

dy

⎛

ln( x ) = B⋅ ⎜ t + A⋅

B⋅ ⎜t+ A⋅

s

= B⋅ ( 1 + A⋅ t) ⋅ dt

x
Integrating

1

2⎠

dt

= C⋅ y

C = 1⋅

1
s

= C⋅ dt

ln( y ) = C⋅ t + C2

+ C1

2⎞

dy

⎛

B⋅ ⎜t+ A⋅

= c1 ⋅ e ⎝

2⎞

t

2⎠

y=e

C⋅ t+ C2

=e

C2 C⋅ t

⋅e

= c2 ⋅ e

C⋅ t

2⎞

t

2⎠

y = c2 ⋅ e

C⋅ t

2⎞

t

2⎠

y=e

C⋅ t

C⋅ y
B⋅ x ⋅ ( 1 + A⋅ t)
dy
y

=

C dx
⋅
B x

( 1 + A⋅ t) ⋅ ln( y ) =

C
B

⋅ ln( x ) + c

which we can integrate for any given t (t is treated as a constant)

C

The solution is

y

1+ A ⋅ t

= const ⋅ x

B

y = const ⋅ x

or

C

y=x

For particles at (1,1) at t = 0, 1, and 2s

C

B

y=x

C

( 1+ A )B

y=x

Streamline and Pathline Plots
5

Streamline (t=0)
Streamline (t=1)
Streamline (t=2)
Pathline

4

y (m)

3

2

1

0

1

2

3

x (m)

4

5

( 1+ 2⋅ A )B

Problem 2.21

[Difficulty: 3]

Given:

Eulerian Velocity field

Find:

Lagrangian position function that was at point (1,1) at t = 0; expression for pathline; plot pathline and compare to
streamlines through same point at the instants t = 0, 1 and 2s

Solution:
Governing equations:

up =

For pathlines (Lagrangian description)

dx
dt

vp =

dy

vp =

dy

v

For streamlines

dt

u

Assumption: 2D flow

Hence for pathlines

up =

dx
dt

=A

So, separating variables

dx = A⋅ dt

Integrating

x = A⋅ t + x 0

A = 2

Using given data

The pathlines are given by combining the equations t =

For streamlines

y ( x ) = y 0 − B⋅

v
u

So, separating variables

=

dy
dx

dy = −

=

B⋅ t
A

s

= −B⋅ t

dt

m

B = 2

2

s

dy = −B⋅ t⋅ dt

The Lagrangian description is

Hence

m

( x − x0) 2
2

2⋅ A

t

2

x0 = 1 m

y = −B⋅

x ( t) = A⋅ t + x 0

y ( t) = −B⋅

x ( t) = 2 ⋅ t + 1

y ( t) = 1 − t

x − x0
A

or, using given data

y = −B⋅

2

t

+ y0

t

y0 = 1 m

2

+ y0

2

2

2

2

+ y 0 = −B⋅

y(x) = 1 −

( x − 1)

(x − x0)2
2

2⋅ A

+ y0

2

4

−B⋅ t
A
⋅ dx

which we can integrate for any given t (t is treated as a constant)

=

dy
dx

y=−

The solution is

B⋅ t

y = −

A

⋅x + c

B⋅ t
A

and for the one through (1,1)

⋅ ( x − 1) + 1

1=−

B⋅ t
A

⋅1 + c

c=1+

y = 1 − t⋅ ( x − 1)
x = 1 , 1.1 .. 20

Streamline Plots
20

−40

5

10

15

y (m)

− 28

− 52

− 76

Streamline (t=0)
Streamline (t=1)
Streamline (t=2)
Pathline

− 100

x (m)

20

25

B⋅ t
A

Problem 2.22

[Difficulty: 3]

Given:

Velocity field

Find:

Plot of pathline of particle for t = 0 to 1.5 s that was at point (1,1) at t = 0; compare to streamlines through same
point at the instants t = 0, 1 and 1.5 s

Solution:
Governing equations:

up =

For pathlines

dx
dt

vp =

dy

v

For streamlines

dt

u

=

dy
dx

Assumption: 2D flow

Hence for pathlines

So, separating variables

up =
dx

dt

= ax

ln⎛⎜

⎞ = a⋅ t
x0
⎝ ⎠
x

x ( t) = x 0⋅ e

Using given data

x ( t) = e

v
u

So, separating variables

dy
y

Hence

s

=

=

ln⎛⎜

dy
dx

x0 = 1 m

a⋅ t

vp =

dy

= b ⋅ y ⋅ ( 1 + c⋅ t )

dt

2⋅ t

=

ln⎛⎜

b = 2

1
2

c = 0.4

s

⎞ = b ⋅ ⎛ t + 1 ⋅ c⋅ t2⎞
⎜ 2
⎝
⎠
⎝ y0 ⎠
y

y ( t) = e

dy
y

= b ⋅ ( 1 + c⋅ t) ⋅ dt

y0 = 1 m

⎛ 1 2⎞
b⋅ ⎜t+ ⋅ c⋅ t
⎝ 2 ⎠

y ( t) = e

2

2⋅ t+ 0.4⋅ t

b ⋅ y ⋅ ( 1 + c⋅ t )
a⋅ x

b ⋅ ( 1 + c⋅ t )
a⋅ x

⋅ dx

which we can integrate for any given t (t is treated as a constant)

⎞ = b ⋅ ( 1 + c⋅ t) ⋅ ln⎛ x ⎞
⎜x
⎝ y0 ⎠ a
⎝ 0⎠
y

b

The solution is

1

dy = b ⋅ y ⋅ ( 1 + c⋅ t) ⋅ dt

Hence

For streamlines

a = 2

= a⋅ dt

x
Integrating

dx

x
y = y 0 ⋅ ⎛⎜ ⎞
⎝ x0 ⎠

a

⋅ ( 1+ c⋅ t)

1
s

b

t = 0

x
y = y 0 ⋅ ⎛⎜ ⎞
⎝ x0 ⎠

a

= x

x
t = 1 y = y 0 ⋅ ⎛⎜ ⎞
⎝ x0 ⎠

b

⋅ ( 1+ c⋅ t)

a

= x

1.4

t = 1.5

x
y = y 0 ⋅ ⎛⎜ ⎞
⎝ x0 ⎠

Streamline and Pathline Plots
10

Streamline (t=0)
Streamline (t=1)
Streamline (t=1.5)
Pathline

8

6

y (m)

For

b

⋅ ( 1+ c⋅ t)

4

2

0

2

4

6

x (m)

8

10

⋅ ( 1+ c⋅ t)

a

= x

1.6

Problem 2.23

[Difficulty: 3]

Given:

Velocity field

Find:

Plot of pathline of particle for t = 0 to 1.5 s that was at point (1,1) at t = 0; compare to streamlines through same
point at the instants t = 0, 1 and 1.5 s

Solution:
Governing equations:

For pathlines

up =

dx

a =

1 1

vp =

dt

dy

v

For streamlines

dt

u

Assumption: 2D flow

Hence for pathlines

So, separating variables

up =
dx

= a⋅ x

dt

vp =

5 s

= a⋅ dt

x
Integrating

dx

ln⎛⎜

dy
dt

= b⋅ y⋅ t

⎞ = a⋅ t
x0
⎝ ⎠
x

ln⎛⎜

x ( t) = x 0⋅ e

For streamlines

x ( t) = e

5

v

=

u
So, separating variables

dy
y

Hence

=

=

ln⎛⎜

dy
dx

b⋅ t
a⋅ x

a⋅ t

y

y ( t) = y 0⋅ e

1
25

1
2

s

= b ⋅ t⋅ dt

y0 = 1 m

2

⋅ b⋅ t

2

2

t

y ( t) = e

50

b⋅ y⋅ t
a⋅ x

⋅ dx

which we can integrate for any given t (t is treated as a constant)

⎞ = b ⋅ t⋅ ln⎛ x ⎞
⎜x
⎝ y0 ⎠ a
⎝ 0⎠
y

b

The solution is

y

⎞ = b ⋅ 1 ⋅ t2
2
⎝ y0 ⎠

x0 = 1 m

t

Using given data

dy

dy = b ⋅ y ⋅ t⋅ dt

1

Hence

b =

x
y = y 0 ⋅ ⎛⎜ ⎞
⎝ x0 ⎠

a

⋅t

b
a

= 0.2

x0 = 1

y0 = 1

=

dy
dx

b

x
y = y 0 ⋅ ⎛⎜ ⎞
⎝ x0 ⎠

t = 0

= 1

b

x
y = y 0 ⋅ ⎛⎜ ⎞
x0
⎝ ⎠

t = 5

x
y = y 0 ⋅ ⎛⎜ ⎞
x0
⎝ ⎠

b

= x
b

t = 10

⋅t

a

a

⋅t = 1

⋅t

a

= x

2

b
a

⋅t = 2

Streamline and Pathline Plots
10

8

6

y (m)

For

⋅t

a

4

2

Streamline (t=0)
Streamline (t=1)
Streamline (t=1.5)
Pathline
0

2

4

6

x (m)

8

10

Pathline
t
0.00
0.25
0.50
0.75
1.00
1.25
1.50
1.75
2.00
2.25
2.50
2.75
3.00
3.25
3.50
3.75
4.00
4.25
4.50
4.75
5.00

x
1.00
1.00
1.01
1.03
1.05
1.08
1.12
1.17
1.22
1.29
1.37
1.46
1.57
1.70
1.85
2.02
2.23
2.47
2.75
3.09
3.49

Streamlines
t=0
x
y
1.00
1.00
1.00
0.78
1.00
0.61
1.00
0.47
1.00
0.37
1.00
0.29
1.00
0.22
1.00
0.17
1.00
0.14
1.00
0.11
1.00
0.08
1.00
0.06
1.00
0.05
1.00
0.04
1.00
0.03
1.00
0.02
1.00
0.02
1.00
0.01
1.00
0.01
1.00
0.01
1.00
0.01

y
1.00
0.78
0.61
0.47
0.37
0.29
0.22
0.17
0.14
0.11
0.08
0.06
0.05
0.04
0.03
0.02
0.02
0.01
0.01
0.01
0.01

t=1s
x
1.00
1.00
1.01
1.03
1.05
1.08
1.12
1.17
1.22
1.29
1.37
1.46
1.57
1.70
1.85
2.02
2.23
2.47
2.75
3.09
3.49

t=2s
x
1.00
1.00
1.01
1.03
1.05
1.08
1.12
1.17
1.22
1.29
1.37
1.46
1.57
1.70
1.85
2.02
2.23
2.47
2.75
3.09
3.49

y
1.00
0.97
0.88
0.75
0.61
0.46
0.32
0.22
0.14
0.08
0.04
0.02
0.01
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00

y
1.00
0.98
0.94
0.87
0.78
0.68
0.57
0.47
0.37
0.28
0.21
0.15
0.11
0.07
0.05
0.03
0.02
0.01
0.01
0.00
0.00

Pathline and Streamline Plots
1.0

Pathline
Streamline (t = 0)
Streamline (t = 1 s)
Streamline (t = 2 s)

0.8

y

0.6

0.4

0.2

0.0
0.0

0.5

1.0

1.5

2.0

x

2.5

3.0

3.5

Problem 2.25

[Difficulty: 3]

Given:

Flow field

Find:

Pathline for particle starting at (3,1); Streamlines through same point at t = 1, 2, and 3 s

Solution:
dx

For particle paths

dt
Separating variables and integrating

dx
x

dy

= u = a⋅ x ⋅ t

an
d

= a⋅ t⋅ dt

or

ln( x ) =

or

y = b ⋅ t + c2

dy = b ⋅ dt

dt

=v=b
1

2

⋅ a⋅ t + c1
2

Using initial condition (x,y) = (3,1) and the given values for a and b
c1 = ln( 3 ⋅ m)
x = 3⋅ e

The pathline is then
For streamlines (at any time t)

v
u

dx

and

y = 4⋅ t + 1

b

=

a⋅ x ⋅ t

So, separating variables

dy =

b dx
⋅
a⋅ t x

Integrating

y=

b
a⋅ t

c2 = 1 ⋅ m

2

0.05⋅ t

dy

=

an
d

⋅ ln( x ) + c

We are interested in instantaneous streamlines at various times that always pass through point (3,1). Using a and b values:
c=y−
y= 1+

The streamline equation is

b
a ⋅t
40
t

⋅ ln( x) = 1 −

⋅ ln⎛⎜

4
0.1⋅ t

⋅ ln( 3)

x⎞

⎝ 3⎠

30

Pathline
Streamline (t=1)
Streamline (t=2)
Streamline (t=3)

20

y

10

0

1

2

3

4

5

− 10
− 20

These curves can be plotted in
Excel.

x

Problem 2.26

[Difficulty: 4]

Given:

Velocity field

Find:

Plot streamlines that are at origin at various times and pathlines that left origin at these times

Solution:
v

For streamlines

u

=

dy
dx

v 0 ⋅ sin⎡⎢ω⋅ ⎜⎛ t −

⎣ ⎝

=

u0

v 0 ⋅ sin⎡⎢ω⋅ ⎛⎜ t −
So, separating variables (t=const)

x

⎣ ⎝

dy =

u0

u0
v 0 ⋅ cos⎡⎢ω⋅ ⎛⎜ t −

⎞⎤
u0 ⎥
⎠⎦ + c

ω
v 0 ⋅ ⎡⎢cos⎡⎢ω⋅ ⎜⎛ t −

Using condition y = 0 when x = 0

For particle paths, first find x(t)

y=
dx
dt

⎞⎤
⎥
⎠⎦ ⋅ dx

x

⎣ ⎝

y=

Integrating

⎞⎤
u0 ⎥
⎠⎦
x

⎞⎤ − cos( ω⋅ t)⎤
⎥
u0 ⎥
⎠⎦
⎦
x

⎣ ⎣ ⎝

= u = u0

Separating variables and integrating

dx = u 0 ⋅ dt

Using initial condition x = 0 at t = τ

c1 = −u 0 ⋅ τ

x = u 0 ⋅ t + c1

o
r

x = u 0 ⋅ ( t − τ)

x ⎞⎤
= v = v 0 ⋅ sin⎡⎢ω⋅ ⎜⎛ t −
⎥
dt
⎣ ⎝ u 0 ⎠⎦

dy

For y(t) we have

and

dy
dt

This gives streamlines y(x) at each time t

ω

so

dy

⎡ ⎡

= v = v 0 ⋅ sin⎢ω⋅ ⎢t −
dt

⎣ ⎣

u 0 ⋅ ( t − τ) ⎤⎤
u0

⎥⎥
⎦⎦

= v = v 0 ⋅ sin( ω⋅ τ)

Separating variables and integrating

dy = v 0 ⋅ sin( ω⋅ τ) ⋅ dt

y = v 0 ⋅ sin( ω⋅ τ) ⋅ t + c2

Using initial condition y = 0 at t = τ

c2 = −v 0 ⋅ sin( ω⋅ τ) ⋅ τ

y = v 0 ⋅ sin( ω⋅ τ) ⋅ ( t − τ)

The pathline is then
x ( t , τ) = u 0 ⋅ ( t − τ)

y ( t , τ) = v 0 ⋅ sin( ω⋅ τ) ⋅ ( t − τ)

These terms give the path of a particle (x(t),y(t)) that started at t = τ.

0.5

0.25

0

1

2

− 0.25

− 0.5

Streamline t = 0s
Streamline t = 0.05s
Streamline t = 0.1s
Streamline t = 0.15s
Pathline starting t = 0s
Pathline starting t = 0.05s
Pathline starting t = 0.1s
Pathline starting t = 0.15s

The streamlines are sinusoids; the pathlines are straight (once a water particle is fired it travels in a straight line).
These curves can be plotted in Excel.

3

Problem 2.27

Given:

Velocity field

Find:

Plot streakline for first second of flow

[Difficulty: 5]

Solution:
Following the discussion leading up to Eq. 2.10, we first find equations for the pathlines in form

(

x p( t) = x t , x 0 , y 0 , t0

)

and

(

y p( t) = y t , x 0 , y 0 , t0

)

where x 0, y 0 is the position of the particle at t = t0, and re-interprete the results as streaklines

( )

(

x st t0 = x t , x 0 , y 0 , t0

)

and

( )

(

y st t0 = y t , x 0 , y 0 , t0

)

which gives the streakline at t, where x 0, y 0 is the point at which dye is released (t0 is varied from 0 to t)
For particle paths, first find x(t)

dx
dt

Separating variables and integrating

= u = u0

dx = u 0 ⋅ dt

(

x = x0 + u0 ⋅ t − t0

o
r

x ⎞⎤
so
= v = v 0 ⋅ sin⎡⎢ω⋅ ⎜⎛ t −
u0 ⎥
dt
⎣ ⎝
⎠⎦
x
⎞⎤
⎡
⎛
0
dy
= v = v 0 ⋅ sin⎢ω⋅ ⎜ t0 −
⎥
u0
dt
⎣ ⎝
⎠⎦
x 0 ⎞⎤
⎡ ⎛
dy = v 0 ⋅ sin⎢ω⋅ ⎜ t0 −
⎥ ⋅ dt
u0
⎣ ⎝
⎠⎦
dy

For y(t) we have

and

Separating variables and integrating

( )

(

The streakline is then

x st t0 = x 0 + u 0 t − t0

With

x0 = y0 = 0

( )

(

x st t0 = u 0 ⋅ t − t0

)

dy

)

(

⎡ ⎡

x 0 + u 0⋅ t − t0

⎣ ⎣

u0

= v = v 0 ⋅ sin⎢ω⋅ ⎢t −
dt

(

( )

( ) (

y st t0 = v 0 ⋅ sin⎡ω⋅ t0 ⎤ ⋅ t − t0
⎣
⎦

Streakline for First Second

y (m)

1

2

4

6

−1
−2

x (m)
This curve can be plotted in Excel. For t = 1, t0 ranges from 0 to t.

)

(

2

0

⎥⎥
⎦⎦

x 0 ⎞⎤
⎡ ⎛
y = y 0 + v 0 ⋅ sin⎢ω⋅ ⎜ t0 −
⎥ ⋅ t − t0
u0
⎣ ⎝
⎠⎦
x 0 ⎞⎤
⎡ ⎛
y st t0 = y 0 + v 0 ⋅ sin⎢ω⋅ ⎜ t0 −
⎥ ⋅ t − t0
u0
⎣ ⎝
⎠⎦

( )

)

)⎤⎤

8

10

)

)

Problem 2.28

[Difficulty: 4]

Given:

Velocity field

Find:

Plot of streakline for t = 0 to 3 s at point (1,1); compare to streamlines through same point at the instants t = 0, 1
and 2 s

Solution:
Governing equations:

For pathlines

up =

dx

vp =

dt

dy

v

For streamlines

dt

u

=

dy
dx

Following the discussion leading up to Eq. 2.10, we first find equations for the pathlines in form

(

x p( t) = x t , x 0 , y 0 , t0

( )

(

)

x st t0 = x t , x 0 , y 0 , t0

)

(

)

and

y p( t) = y t , x 0 , y 0 , t0

and

y st t0 = y t , x 0 , y 0 , t0

( )

(

)

which gives the streakline at t, where x 0, y 0 is the point at which dye is released (t0 is varied from 0 to t)
Assumption: 2D flow

For pathlines

So, separating variables

up =
dx
x

Integrating

dx
dt

= B⋅ x ⋅ ( 1 + A⋅ t)

A = 0.5

1
s

B = 1

1
s

dy

= B⋅ ( 1 + A⋅ t) ⋅ dt

y

2
2
t − t0 ⎞
⎜⎛
x ⎞
⎛
ln⎜
= B⋅ ⎜ t − t0 + A⋅
2
x0
⎝
⎠
⎝ ⎠

ln⎛⎜

⎝

2
2
t − t0 ⎞
⎜⎛
B⋅ ⎜t− t0+ A⋅
2 ⎠
x = x0⋅ e ⎝

The pathlines are

vp =

dy
dt

= C⋅ y

C = 1

= C⋅ dt

y
y0

⎞ = C⋅ t − t
( 0)
⎠

y = y0⋅ e

2
2
⎛⎜
t − t0 ⎞
B⋅ ⎜t− t0+ A ⋅
2 ⎠
x p( t) = x 0⋅ e ⎝

( )

C⋅ t− t0

y p( t) = y 0⋅ e

( )

C⋅ t− t0

where x 0, y 0 is the position of the particle at t = t0. Re-interpreting the results as streaklines:

The streaklines are then

2
2
t − t0 ⎞
⎜⎛
B⋅ ⎜t− t0+ A⋅
2 ⎠
x st( t0 ) = x 0 ⋅ e ⎝

( )

y st t0 = y 0 ⋅ e

( )

C⋅ t− t0

where x 0, y 0 is the point at which dye is released (t0 is varied from 0 to t)

1
s

v

For streamlines

u
So, separating variables

=

dy
dx

=

( 1 + A⋅ t) ⋅

C⋅ y
B⋅ x ⋅ ( 1 + A⋅ t)
dy
y

=

C dx
⋅
B x
C

( 1 + A⋅ t) ⋅ ln( y ) =

Integrating

B

which we can integrate for any given t (t is treated as a constant)

⋅ ln( x ) + const

C

The solution is

y

1+ A ⋅ t

= const ⋅ x

B

2

For particles at (1,1) at t = 0, 1, and 2s

y=x

y=x

1

3

y=x

2

Streamline and Pathline Plots
10

Streamline (t=0)
Streamline (t=1)
Streamline (t=2)
Streakline

8

y (m)

6

4

2

0

2

4

6

x (m)

8

10

Problem 2.29

[Difficulty: 4]

Given:

Velocity field

Find:

Plot of streakline for t = 0 to 3 s at point (1,1); compare to streamlines through same point at the instants t = 0, 1
and 2 s

Solution:
Governing equations:

For pathlines

up =

dx

vp =

dt

dy

v

For streamlines

dt

u

=

dy
dx

Following the discussion leading up to Eq. 2.10, we first find equations for the pathlines in form

(

x p( t) = x t , x 0 , y 0 , t0

( )

(

)

x st t0 = x t , x 0 , y 0 , t0

)

(

)

and

y p( t) = y t , x 0 , y 0 , t0

and

y st t0 = y t , x 0 , y 0 , t0

( )

(

)

which gives the streakline at t, where x 0, y 0 is the point at which dye is released (t0 is varied from 0 to t)
Assumption: 2D flow

For pathlines

So, separating variables

up =
dx
x

Integrating

dx
dt

= a⋅ x ⋅ ( 1 + b ⋅ t )

a = 1

= a⋅ ( 1 + b ⋅ t) ⋅ dt

2
2
⎛⎜
t − t0 ⎞
x ⎞
⎛
ln⎜
= a⋅ ⎜ t − t 0 + b ⋅
2
⎝
⎠
⎝ x0 ⎠
2
2
⎛⎜
t − t0 ⎞
a⋅ ⎜t− t0+ b⋅
2 ⎠
x = x0⋅ e ⎝

1
s

b =

1

1

5

s

vp =
dy
y
ln⎛⎜

⎝

dy
dt

= c⋅ y

c = 1

= c⋅ dt

y
y0

⎞ = c⋅ t − t
( 0)
⎠

y = y0⋅ e

( )

c⋅ t− t0

1
s

2
2
⎛⎜
t − t0 ⎞
a⋅ ⎜t− t0+ b⋅
2 ⎠
x p( t) = x 0⋅ e ⎝

The pathlines are

y p( t) = y 0⋅ e

( )

c⋅ t− t0

where x 0, y 0 is the position of the particle at t = t0. Re-interpreting the results as streaklines:

The streaklines are then

2
2
⎛⎜
t − t0 ⎞
a⋅ ⎜t− t0+ b⋅
2 ⎠
x st( t0 ) = x 0 ⋅ e ⎝

( )

y st t0 = y 0 ⋅ e

( )

c⋅ t− t0

where x 0, y 0 is the point at which dye is released (t0 is varied from 0 to t)
v

For streamlines

u
So, separating variables

=

dy
dx

=

( 1 + b ⋅ t) ⋅

c⋅ y
a⋅ x ⋅ ( 1 + b ⋅ t )

dy
y

=

c dx
⋅
a x

( 1 + b ⋅ t) ⋅ ln( y ) =

Integrating

c
a

which we can integrate for any given t (t is treated as a constant)

⋅ ln( x ) + const

c

The solution is

y

1+ b⋅ t

= const ⋅ x

a

2

y=x

For particles at (1,1) at t = 0, 1, and 2s

y=x

3

1

y=x

2

Streamline and Pathline Plots
5

Streamline (t=0)
Streamline (t=1)
Streamline (t=2)
Streakline

4

y (m)

3

2

1

0

1

2

3

x (m)

4

5

Problem 2.30

[Difficulty: 4]

Given:

Velocity field

Find:

Plot of pathline for t = 0 to 3 s for particle that started at point (1,2) at t = 0; compare to streakline through same
point at the instant t = 3

Solution:
Governing equations:

up =

For pathlines

dx

vp =

dt

dy
dt

Following the discussion leading up to Eq. 2.10, we first find equations for the pathlines in form

(

x p( t) = x t , x 0 , y 0 , t0

( )

(

)

x st t0 = x t , x 0 , y 0 , t0

)

(

)

and

y p( t) = y t , x 0 , y 0 , t0

and

y st t0 = y t , x 0 , y 0 , t0

( )

(

)

which gives the streakline at t, where x 0, y 0 is the point at which dye is released (t0 is varied from 0 to t)
Assumption: 2D flow

For pathlines

So, separating variables

up =
dx

dt

= a⋅ x ⋅ t

ln⎛⎜

⎞ = a ⋅ ⎛ t2 − t 2⎞
0 ⎠
⎝
⎝ x0 ⎠ 2

x = x0⋅ e

⋅ ⎛t − t0
2 ⎝
2

a

x p( t) = x 0⋅ e

1
4

1
2

s

b =

1

m

3

s

vp =

dy
dt

=b

dy = b ⋅ dt

x

a

The pathlines are

a =

= a⋅ t⋅ dt

x
Integrating

dx

2

2⎞

⎠

⋅ ⎛t − t0
⎝
2

(

)

(

)

y − y0 = b⋅ t − t0

y = y0 + b⋅ t − t0

2⎞

⎠

(

y p( t) = y 0 + b ⋅ t − t0

)

where x 0, y 0 is the position of the particle at t = t0. Re-interpreting the results as streaklines:
a

The pathlines are then

( )

x st t0 = x 0 ⋅ e

2

⋅ ⎛t − t0
⎝
2

2⎞

⎠

( )

(

y st t0 = y 0 + b ⋅ t − t0

where x 0, y 0 is the point at which dye is released (t0 is varied from 0 to t)

)

Streakline and Pathline Plots
2

Streakline
Pathline

y (m)

1.5

1

0.5

0

1

2

x (m)

3

4

Problem 2.31

[Difficulty: 4]

Given:

2D velocity field

Find:

Streamlines passing through (6,6); Coordinates of particle starting at (1,4); that pathlines, streamlines and
streaklines coincide

Solution:
v

For streamlines

u

=

a⋅ y

Integrating

3

dy
dx

b

=

a⋅ y

⌠
⌠
⎮
2
⎮ a ⋅ y dy = ⎮ b dx
⌡
⌡

or
2

3

= b⋅ x + c

For the streamline through point (6,6)

c = 60 and

For particle that passed through (1,4) at t = 0

u=

dx

v=

dy

dt

dt

= a⋅ y

3

y = 6 ⋅ x + 180
⌠
⌠
⎮
2
⎮ 1 dx = x − x 0 = ⎮ a ⋅ y dt
⌡
⌡

2

⌠
⌠
⎮ 1 dy = ⎮ b dt
⌡
⌡

=b
t

⎛

⌠
2
x − x 0 = ⎮ a ⋅ y 0 + b ⋅ t dt
⌡

Then

(

)

x0 = 1

y0 = 4

2

x = 1 + 16⋅ t + 8 ⋅ t +

y = y0 + b⋅ t = y0 + 2⋅ t

x = x 0 + a⋅ ⎜ y 0 ⋅ t + b ⋅ y 0 ⋅ t +
2

2

4 3
⋅t
3

t

⌠
2
x − x 0 = ⎮ a ⋅ y 0 + b ⋅ t dt
⎮
⌡t

(

)

y = 6⋅ m

⌠
⌠
⎮ 1 dy = ⎮ b dt
⌡
⌡

⎡

(

y = y0 + b⋅ t − t0

x = x 0 + a⋅ ⎢y 0 ⋅ t − t0 + b ⋅ y 0 ⋅ ⎛ t − t0
⎝

⎣

2

(

)

2

2⎞

⎠

+

2

)

⋅ ⎛ t − t0
3 ⎝

b

3

3
(
)
3

4

x = −3 +

Evaluating at t = 3

x = 31.7⋅ m

⋅ t −1 =

(
3
1

3

⋅ 4 ⋅ t − 13

This is a steady flow, so pathlines, streamlines and streaklines always coincide

)

y = 2⋅ ( t − 1)
y = 4⋅ m

⎤
⎥
⎠⎦

3⎞

0

Hence, with x 0 = -3, y 0 = 0 at t0 = 1

3

x = 26.3⋅ m

At t = 1 s

y = 4 + 2⋅ t

For particle that passed through (-3,0) at t = 1

2 3⎞

b ⋅t

⎝

0

Hence, with

We need y(t)

⎠

Problem 2.32

Solution

Pathlines:
t
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
1.80
2.00
2.20
2.40
2.60
2.80
3.00
3.20
3.40
3.60
3.80
4.00

[Difficulty: 3]

The particle starting at t = 3 s follows the particle starting at t = 2 s;
The particle starting at t = 4 s doesn't move!
Starting at t = 0
x
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
1.80
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00

Starting at t = 1 s

y
0.00
0.40
0.80
1.20
1.60
2.00
2.40
2.80
3.20
3.60
4.00
3.80
3.60
3.40
3.20
3.00
2.80
2.60
2.40
2.20
2.00

Starting at t = 2 s

x

y

x

y

0.00
0.20
0.40
0.60
0.80
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00

0.00
0.40
0.80
1.20
1.60
2.00
1.80
1.60
1.40
1.20
1.00
0.80
0.60
0.40
0.20
0.00

0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00

0.00
-0.20
-0.40
-0.60
-0.80
-1.00
-1.20
-1.40
-1.60
-1.80
-2.00

Streakline at t = 4 s
x
2.00
1.80
1.60
1.40
1.20
1.00
0.80
0.60
0.40
0.20
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00

Pathline and Streakline Plots
4

3

2

1

y
0
-0.5

0.0

0.5

1.0

1.5

Pathline starting at t = 0

-1

Pathline starting at t = 1 s
Pathline starting at t = 2 s

-2

Streakline at t = 4 s
-3

x

2.0

2.5

y
2.00
1.60
1.20
0.80
0.40
0.00
-0.40
-0.80
-1.20
-1.60
-2.00
-1.80
-1.60
-1.40
-1.20
-1.00
-0.80
-0.60
-0.40
-0.20
0.00

Problem 2.33

[Difficulty: 3]

Given:

Velocity field

Find:

Equation for streamline through point (1.1); coordinates of particle at t = 5 s and t = 10 s that was at (1,1) at t = 0;
compare pathline, streamline, streakline

Solution:
Governing equations:

v

For streamlines

u

=

dy

For pathlines

dx

up =

dx

vp =

dt

dy
dt

Assumption: 2D flow
Given data

For streamlines

a =

1 1

v

dy

So, separating variables

a
b

Integrating

The solution is then

5 s

=

u

b = 1

⋅ dy =

Hence

t0 = 0

dx
x

(

)

b
x
y = y 0 + ⋅ ln⎛⎜ ⎞ = 5 ⋅ ln( x ) + 1
a
x0

up =
dx

ln⎛⎜

⎝

The pathlines are

y0 = 1

x
⋅ y − y 0 = ln⎛⎜ ⎞
b
⎝ x0 ⎠
a

x
Integrating

x0 = 1

a⋅ x

⎝

Hence for pathlines

s

b

=

dx

m

dx
dt

⎠

= a⋅ x

= a⋅ dt

x
x0

dy
dt

=b

dy = b ⋅ dt

⎞ = a⋅ t − t
( 0)
⎠

x = x0⋅ e

vp =

( )

a⋅ t− t0

(

)

(

)

y − y0 = b⋅ t − t0

y = y0 + b⋅ t − t0

or

b
x
y = y 0 + ⋅ ln⎛⎜ ⎞
a
x0

⎝

⎠

For a particle that was at x 0 = 1 m, y 0 = 1 m at t0 = 0 s, at time t = 1 s we find the position is

x = x0⋅ e

( )

a⋅ t− t0

1

= e

5

(

For a particle that was at x 0 = 1 m, y 0 = 1

x = x0⋅ e

( )

a⋅ t− t0

= e

( )

a⋅ t− t0

= e

2

m

m at t0 = 0 s, at time t = 5 s we find the position is

(

)

y = y 0 + b ⋅ t − t0 = 6

m

For a particle that was at x 0 = 1 m, y 0 = 1

x = x0⋅ e

)

y = y 0 + b ⋅ t − t0 = 2

m

m

at t0 = 0 s, at time t = 10 s we find the position is

(

)

y = y 0 + b ⋅ t − t0 = 11 m

m

For this steady flow streamlines, streaklines and pathlines coincide

Streamline and Position Plots
15

Streamline
Position at t = 1 s
Position at t = 5 s
Position at t = 10 s
12

y (m)

9

6

3

0

2

4

6

x (m)

8

10

Problem 2.34

[Difficulty: 3]

Given:

Velocity field

Find:

Equation for streamline through point (2.5); coordinates of particle at t = 2 s that was at (0,4) at t = 0; coordinates of
particle at t = 3 s that was at (1,4.25) at t = 1 s; compare pathline, streamline, streakline

Solution:
Governing equations:

v

For streamlines

u

=

dy

dx

up =

For pathlines

dx

dt

vp =

dy
dt

Assumption: 2D flow
Given data

For streamlines

a = 2
v
u

So, separating variables

a
b

Integrating

=

m

b = 1

s

dy
dx

1
s

x0 = 2

y0 = 5

x = 1

x = x

b⋅ x

=

a

⋅ dy = x ⋅ dx

1
2
2
⋅ y − y0 = ⋅ ⎛ x − x0 ⎞
⎝
⎠
2
b
a

(

)

2

The solution is then

x
2
2
y = y0 +
⋅ ⎛ x − x0 ⎞ =
+4
⎝
⎠
2⋅ a
4

Hence for pathlines

up =

b

dx
dt

=a

Hence

dx = a⋅ dt

Integrating

x − x 0 = a⋅ t − t 0

vp =

dy
dt

= b⋅ x

dy = b ⋅ x ⋅ dt

(

)

(

)

dy = b ⋅ ⎡x 0 + a⋅ t − t0 ⎤ ⋅ dt
⎣
⎦
a
2
2
y − y 0 = b ⋅ ⎡⎢x 0 ⋅ t − t0 + ⋅ ⎛ ⎛ t − t0 ⎞ ⎞ − a⋅ t0 ⋅ t − t0 ⎤⎥
⎝
⎝
⎠⎠
2
⎣
⎦

(

The pathlines are

(

x = x 0 + a⋅ t − t 0

)

)

(

)

a
2
2
y = y 0 + b ⋅ ⎡⎢x 0 ⋅ t − t0 + ⋅ ⎛ ⎛ t − t0 ⎞ ⎞ − a⋅ t0 ⋅ t − t0 ⎤⎥
⎝
⎝
⎠⎠
2
⎣
⎦

(

)

(

)

For a particle that was at x 0 = 0 m, y 0 = 4 m at t0 = 0s, at time t = 2 s we find the position is

(

)

x = x 0 + a⋅ t − t 0 = 4 m

a
2
2
y = y 0 + b ⋅ ⎡⎢x 0 ⋅ t − t0 + ⋅ ⎛ ⎛ t − t0 ⎞ ⎞ − a⋅ t0 ⋅ t − t0 ⎥⎤ = 8m
⎝
⎝
⎠⎠
2
⎣
⎦

(

)

(

)

For a particle that was at x 0 = 1 m, y 0 = 4.25 m at t0 = 1 s, at time t = 3 s we find the position is

(

)

x = x 0 + a⋅ t − t 0 = 5 m

a
2
2
y = y 0 + b ⋅ ⎡⎢x 0 ⋅ t − t0 + ⋅ ⎛ ⎛ t − t0 ⎞ ⎞ − a⋅ t0 ⋅ t − t0 ⎥⎤ = 10.25
m
⎝
⎝
⎠⎠
2
⎣
⎦

(

)

(

)

For this steady flow streamlines, streaklines and pathlines coincide; the particles refered to are the same particle!

Streamline and Position Plots
15

Streamline
Position at t = 1 s
Position at t = 5 s
Position at t = 10 s
12

y (m)

9

6

3

0

1.2

2.4

3.6

x (m)

4.8

6

Problem 2.35

[Difficulty: 4]

Given:

Velocity field

Find:

Coordinates of particle at t = 2 s that was at (1,2) at t = 0; coordinates of particle at t = 3 s that was at (1,2) at t = 2 s;
plot pathline and streakline through point (1,2) and compare with streamlines through same point at t = 0, 1 and 2 s

Solution
:
Governing equations:

For pathlines

up =

dx

dy

vp =

dt

For
streamlines

dt

v
u

=

dy
dx

Following the discussion leading up to Eq. 2.10, we first find equations for the pathlines in form

(

x p( t) = x t , x 0 , y 0 , t0

( )

)

(

x st t0 = x t , x 0 , y 0 , t0

)

(

)

and

y p( t) = y t , x 0 , y 0 , t0

and

y st t0 = y t , x 0 , y 0 , t0

( )

(

)

which gives the streakline at t, where x 0, y 0 is the point at which dye is released (t0 is varied from 0 to t)
Assumption: 2D flow
Given data

Hence for pathlines

a = 0.2

up =

dx
dt

1
s

b = 0.4

m
2

s

= a⋅ y

vp =

dy
dt

= b⋅ t

Hence

dx = a⋅ y ⋅ dt

dy = b ⋅ t⋅ dt

For x

b 2
2
dx = ⎡⎢a⋅ y 0 + a⋅ ⋅ ⎛ t − t0 ⎞⎤⎥ ⋅ dt
⎝
⎠⎦
2
⎣

Integrating

⎡⎢ 3 t 3
⎥⎤
t
0
2
x − x 0 = a⋅ y 0 ⋅ ( t − t 0 ) + a⋅ ⋅ ⎢ −
− t0 ⋅ ( t − t0 )⎥
3
2 ⎣3
⎦

The pathlines are

⎡⎢ 3 t 3
⎥⎤
t
0
2
x ( t ) = x 0 + a⋅ y 0 ⋅ ( t − t 0 ) + a⋅ ⋅ ⎢ −
− t0 ⋅ ( t − t0 )⎥
3
2 ⎣3
⎦

b 2
2
y − y0 = ⋅ ⎛ t − t0 ⎞
⎠
2 ⎝

b

b

These give the position (x,y) at any time t of a particle that was at (x 0,y 0) at time t0

Note that streaklines are obtained using the logic of the Governing equations, above

b 2
2
y ( t) = y0 + ⋅ ⎛ t − t0 ⎞
⎠
2 ⎝

The streaklines are

⎡⎢ 3 t 3
⎥⎤
t
0
2
x ( t 0 ) = x 0 + a⋅ y 0 ⋅ ( t − t 0 ) + a⋅ ⋅ ⎢ −
− t0 ⋅ ( t − t0 )⎥
3
2 ⎣3
⎦

b 2
2
y t0 = y 0 + ⋅ ⎛ t − t0 ⎞
⎝
⎠
2

( )

b

These gives the streakline at t, where x 0, y 0 is the point at which dye is released (t0 is varied from 0 to t)
For a particle that was at x 0 = 1 m, y 0 = 2 m at t0 = 0s, at time t = 2 s we find the position is (from pathline equations)

⎡⎢ 3 t 3
⎥⎤
t
0
2
x = x 0 + a⋅ y 0 ⋅ ( t − t 0 ) + a⋅ ⋅ ⎢ −
− t0 ⋅ ( t − t0 )⎥ = 1.91m
3
2 ⎣3
⎦

b 2
2
y = y 0 + ⋅ ⎛ t − t0 ⎞ = 2.8 m
⎝
⎠
2

b

For a particle that was at x 0 = 1 m, y 0 = 2 m at t0 = 2 s, at time t = 3 s we find the position is

⎡⎢ 3 t 3
⎥⎤
t
0
2
x = x 0 + a⋅ y 0 ⋅ ( t − t 0 ) + a⋅ ⋅ ⎢ −
− t0 ⋅ ( t − t0 )⎥ = 1.49m
3
2 ⎣3
⎦

b 2
2
y = y 0 + ⋅ ⎛ t − t0 ⎞ = 3.0
⎠
2 ⎝

b

For streamlines

v
u

So, separating variables

=

dy

y ⋅ dy =

2

Integrating

=

dx

b
a

y − y0

⋅ t⋅ dx

2

=

2

The streamlines are then

y =

b⋅ t
a⋅ y

2

y0 +

where we treat t as a constant

b⋅ t
a

(

⋅ x − x0

2⋅ b⋅ t
a

(

)

and we have

)

⋅ x − x0 =

x0 = 1 m

4 ⋅ t⋅ ( x − 1) + 4

y0 = 2

m

m

Streamline Plots

Pathline Plots
5

15

Pathline (t0=0)
Pathline (t0=2)
Streakline

12

3

y (m)

y (m)

4

9

2

6

1

3

0

0.6

1.2

x (m)

Streamline (t=0)
Streamline (t=1)
Streamline (t=2)
Streamline (t=3)

1.8

2.4

3

0

2

4

6

x (m)

8

10

Problem 2.36

[Difficulty: 4]

Given:

Velocity field

Find:

Coordinates of particle at t = 2 s that was at (2,1) at t = 0; coordinates of particle at t = 3 s that was at (2,1) at t = 2 s;
plot pathline and streakline through point (2,1) and compare with streamlines through same point at t = 0, 1 and 2 s

Solution:
Governing equations:

For pathlines

up =

dx

vp =

dt

dy

v

For
streamlines

dt

u

=

dy
dx

Following the discussion leading up to Eq. 2.10, we first find equations for the pathlines in form

(

x p( t) = x t , x 0 , y 0 , t0

( )

)

(

x st t0 = x t , x 0 , y 0 , t0

)

(

)

and

y p( t) = y t , x 0 , y 0 , t0

and

y st t0 = y t , x 0 , y 0 , t0

( )

(

)

which gives the streakline at t, where x 0, y 0 is the point at which dye is released (t0 is varied from 0 to t)
Assumption: 2D flow
Given data

m

a = 0.4

2

b = 2

s
Hence for pathlines

up =

dx
dt

m
2

s

= a⋅ t

vp =

dy
dt

=b

Hence

dx = a⋅ t⋅ dt

dy = b ⋅ dt

Integrating

a 2
2
x − x0 = ⋅ ⎛ t − t0 ⎞
⎝
⎠
2

y − y0 = b⋅ t − t0

The pathlines are

a 2
2
x ( t) = x0 + ⋅ ⎛ t − t0 ⎞
⎠
2 ⎝

y ( t) = y0 + b⋅ t − t0

(

)

(

)

(

)

These give the position (x,y) at any time t of a particle that was at (x 0,y 0) at time t0
Note that streaklines are obtained using the logic of the Governing equations, above
The streaklines are

a 2
2
x t0 = x 0 + ⋅ ⎛ t − t0 ⎞
⎠
2 ⎝

( )

( )

y t0 = y 0 + b ⋅ t − t0

These gives the streakline at t, where x 0, y 0 is the point at which dye is released (t0 is varied from 0 to t)
For a particle that was at x 0 = 2 m, y 0 = 1 m at t0 = 0s, at time t = 2 s we find the position is (from pathline equations)
a 2
2
x = x 0 + ⋅ ⎛ t − t0 ⎞ = 2.8 m
⎠
2 ⎝

(

)

y = y 0 + b ⋅ t − t0 = 5 m

For a particle that was at x 0 = 2 m, y 0 = 1 m at t0 = 2 s, at time t = 3 s we find the position is
a 2
2
x = x 0 + ⋅ ⎛ t − t0 ⎞ = 3 m
⎝
⎠
2

v

For streamlines

u

=

dy
dx
b

=

(

b
a⋅ t

So, separating variables

dy =

Integrating

b
y − y0 =
⋅ x − x0
a⋅ t

The streamlines are then

b
5⋅ ( x − 2)
y = y0 +
⋅ x − x0 =
+1
a⋅ t
t

a⋅ t

)

y = y 0 + b ⋅ t − t0 = 3 m

⋅ dx

where we treat t as a constant

(

(

)

and we have

x0 = 2 m

m

)

Pathline Plots

Streamline Plots

8

8

Pathline (t0=0)
Pathline (t0=2)
Streakline

Streamline (t=0)
Streamline (t=1)
Streamline (t=2)

6

y (m)

6

y (m)

y0 = 1

4

2

4

2

0

1

2

3

x (m)

4

5

0

1

2

3

x (m)

4

5

Problem 2.37

[Difficulty: 2]

Given:

Sutherland equation

Find:

Corresponding equation for kinematic viscosity

1

Solution:
Governing equation:

μ

b T

2

1

S

p  ρ R T

Sutherland equation

Ideal gas equation

T

Assumptions: Sutherland equation is valid; air is an ideal gas

The given data is

6

b  1.458  10

kg



m s K

The kinematic viscosity is

where

ν

b' 

μ
ρ



μ R T



p

S  110.4  K

1

R  286.9 

1

3

3

2

2

2

R T b  T
R b T
b' T




p
p
S
S
S
1
1
1
T
T
T

b'  4.129  10

p

2

9

m

1.5

K

N m
kg K

 1.458  10

6



s

2

kg
1

m s K

m



3

 4.129  10

ν

b' T

2

1

S

with
T

b'  4.129  10

9



2

m

3

101.3  10  N

2

s K

3

Hence

p  101.3  kPa

2

R b

b'  286.9 

J
kg K

9



2

m

3

s K

2

S  110.4 K

2

Check with Appendix A, Table A.10. At T  0 °C we find

2
5 m

T  273.1 K

ν  1.33  10



s

3
2

9

m

4.129  10

3

s K

ν 

1

 ( 273.1  K)

2

2

2
5 m

ν  1.33  10

110.4



Check!

s

273.1

At T  100 °C we find

2
5 m

T  373.1 K

ν  2.29  10



s

3
2

9

m

4.129  10

3

s K

ν 

1

 ( 373.1  K)

2

2

2
5 m

ν  2.30  10

110.4



Check!

s

373.1

Viscosity as a Function of Temperature

5

2.5 10

Kinematic Viscosity (m2/s)

Calculated
Table A.10

2 10

5

5

1.5 10

0

20

40

60

Temperature (C)

80

100

Problem 2.38

Given:

Sutherland equation with SI units

Find:

Corresponding equation in BG units

1

Solution:
Governing equation:

[Difficulty: 2]

μ=

b⋅ T

2

1+

S

Sutherland equation
T

Assumption: Sutherland equation is valid

The given data is

−6

b = 1.458 × 10

kg

⋅

S = 110.4 ⋅ K

1

m⋅ s⋅ K

2
1

Converting constants

−6

b = 1.458 × 10

kg

⋅

1

m⋅ s⋅ K

Alternatively

b = 2.27 × 10

−8

Also

S = 110.4 ⋅ K ×

lbm
0.454 ⋅ kg

×

slug
32.2⋅ lbm

μ=

b⋅ T

2

1+

S

ft

×

⎛ 5⋅ K ⎞
⎜ 9⋅ R
⎝
⎠

2

−8

b = 2.27 × 10

1

⋅

×

slug
1

ft⋅ s⋅ R
lbf ⋅ s

−8

b = 2.27 × 10

slug⋅ ft

2

⋅

1
2

S = 198.7 ⋅ R

5⋅ K

lbf ⋅ s
ft

2

2

lbf ⋅ s
ft ⋅ R

9⋅ R

with T in Rankine, µ in
T

0.3048⋅ m

2

1

and

×

2

slug
ft⋅ s⋅ R

×

2

Check with Appendix A, Table A.9. At T = 68 °F we find

T = 527.7 ⋅ R

μ = 3.79 × 10

− 7 lbf ⋅ s

⋅

ft

1
−8

2.27 × 10

lbf ⋅ s
1
2

ft ⋅ R

μ =

1+

× ( 527.7 ⋅ R)

2

2

2

μ = 3.79 × 10

198.7

− 7 lbf ⋅ s

⋅

ft

Check!

2

527.7

At T = 200 °F we find

T = 659.7 ⋅ R

μ = 4.48 × 10

− 7 lbf ⋅ s

⋅

ft

2

1
−8

2.27 × 10

lbf ⋅ s
1
2

μ =

ft ⋅ R
1+

× ( 659.7 ⋅ R)

2

2

198.7
659.7

μ = 4.48 × 10

− 7 lbf ⋅ s

⋅

ft

2

Check!

Data:

Using procedure of Appendix A.3:
T (oC)
0
100
200
300
400

µ(x10 )
1.86E-05
2.31E-05
2.72E-05
3.11E-05
3.46E-05
5

T (K)
273
373
473
573
673

T (K)
273
373
473
573
673

3/2

T /µ
2.43E+08
3.12E+08
3.78E+08
4.41E+08
5.05E+08

The equation to solve for coefficients
S and b is
3 2

T

µ

S
⎛1 ⎞
= ⎜ ⎟T +
b
b
⎝ ⎠

From the built-in Excel
Linear Regression functions:

Hence:
b = 1.531E-06
S = 101.9

Slope = 6.534E+05
Intercept = 6.660E+07

. .

1/2

kg/m s K
K

2

R = 0.9996

Plot of Basic Data and Trend Line
6.E+08
Data Plot
5.E+08

Least Squares Fit

4.E+08

T3/2/µ 3.E+08
2.E+08
1.E+08
0.E+00
0

100

200

300

400

T

500

600

700

800

Problem 2.40

[Difficulty: 2]

Given:

Velocity distribution between flat plates

Find:

Shear stress on upper plate; Sketch stress distribution

Solution:
Basic equation

du
τyx = μ⋅
dy
τyx = −

du
dy

Hence

y=

dy

⎡

u max⋅ ⎢1 −

⎣

2
⎛ 2 ⋅ y ⎞ ⎥⎤ = u ⋅ ⎛ − 4 ⎞ ⋅ 2⋅ y = − 8 ⋅ umax⋅ y
⎜ h
max ⎜ 2
2
⎝ ⎠⎦
h
⎝ h ⎠

8 ⋅ μ⋅ u max⋅ y
h

At the upper surface

d

=

h

2

and

2

τyx = −8 × 1.14 × 10

− 3 N⋅ s

⋅

2

h = 0.1⋅ mm

× 0.1⋅

m

m
s

×

0.1
2

u max = 0.1⋅

⋅ mm ×

1⋅ m
1000⋅ mm

×

m
s

− 3 N⋅ s

μ = 1.14 × 10

⋅

(Table A.8)

2

m

2
⎛ 1 × 1000⋅ mm ⎞
⎜ 0.1⋅ mm
1⋅ m ⎠
⎝

N
τyx = −4.56⋅
2
m

The upper plate is a minus y surface. Since τyx < 0, the shear stress on the upper plate must act in the plus x direction.

⎛ 8 ⋅ μ⋅ umax ⎞
⋅y
⎜ h2
⎝
⎠

τyx( y ) = −⎜

The shear stress varies linearly with y

0.05
0.04
0.03

y (mm)

0.02
0.01
−5

−4

−3

−2

−1

0

1

− 0.01
− 0.02
− 0.03
− 0.04
− 0.05

Shear Stress (Pa)

2

3

4

5

Problem 2.41

[Difficulty: 2]

Given:

Velocity distribution between parallel plates

Find:

Force on lower plate

Solution:
Basic equations

du
dy

so

du
τyx = μ⋅
dy

F = τyx⋅ A
=

⎡

d
dy

τyx = −

u max⋅ ⎢1 −

⎣

8 ⋅ μ⋅ u max⋅ y
h

At the lower surface

y=−

h

F=−

and

2

2
m

2

A = 1⋅ m
− 3 N⋅ s

μ = 1.14 × 10

− 3 N⋅ s

⋅

2

m
F = 2.28⋅ N

⋅

2

m

F = −8 × 1 ⋅ m × 1.14 × 10

(to the right)

2

2

h = 0.1⋅ mm

s

8 ⋅ A⋅ μ⋅ u max⋅ y
h

and

u max = 0.05⋅

Hence

2
⎛ 2 ⋅ y ⎞ ⎥⎤ = u ⋅ ⎛ − 4 ⎞ ⋅ 2⋅ y = − 8 ⋅ umax⋅ y
⎜ h
max ⎜ 2
2
⎝ ⎠⎦
h
⎝ h ⎠

× 0.05⋅

(Table
A.8)
m
s

×

−0.1
2

⋅ mm ×

1⋅ m
1000⋅ mm

×

2
⎛ 1 ⋅ 1 × 1000⋅ mm ⎞
⎜ 0.1 mm
1⋅ m ⎠
⎝

Problem 2.42

[Difficulty: 2]

Open-Ended Problem Statement: Explain how an ice skate interacts with the ice surface.
What mechanism acts to reduce sliding friction between skate and ice?

Discussion: The normal freezing and melting temperature of ice is 0°C (32°F) at atmospheric
pressure. The melting temperature of ice decreases as pressure is increased. Therefore ice can be caused to
melt at a temperature below the normal melting temperature when the ice is subjected to increased pressure.
A skater is supported by relatively narrow blades with a short contact against the ice. The blade of a typical
skate is less than 3 mm wide. The length of blade in contact with the ice may be just ten or so millimeters.
With a 3 mm by 10 mm contact patch, a 75 kg skater is supported by a pressure between skate blade and
ice on the order of tens of megaPascals (hundreds of atmospheres). Such a pressure is enough to cause ice
to melt rapidly.
When pressure is applied to the ice surface by the skater, a thin surface layer of ice melts to become liquid
water and the skate glides on this thin liquid film. Viscous friction is quite small, so the effective friction
coefficient is much smaller than for sliding friction.
The magnitude of the viscous drag force acting on each skate blade depends on the speed of the skater, the
area of contact, and the thickness of the water layer on top of the ice.
The phenomenon of static friction giving way to viscous friction is similar to the hydroplaning of a
pneumatic tire caused by a layer of water on the road surface.

Problem 2.43

[Difficulty: 2]

Given: Velocity profile
Find:

Plot of velocity profile; shear stress on surface

Solution:
2
⎛
y ⎞
⎜
⋅ h⋅ y −
⋅ sin( θ)
u=
μ ⎝
2 ⎠

2

ρ⋅ g

The velocity profile is

u

Hence we can plot

u max

⎡y

= 2⋅ ⎢

⎣h

−

1
2

⋅ ⎛⎜

y⎞

u max =

so the maximum velocity is at y = h

ρ⋅ g h
⋅ ⋅ sin( θ)
μ 2

2⎤

⎥
⎝h⎠ ⎦

1

y/h

0.75
0.5
0.25

0

0.25

0.5

0.75

1

u/umax
This graph can be plotted in Excel
The given data is

− 3 lbf ⋅ s

h = 0.1⋅ in

μ = 2.15 × 10

⋅

ft

τyx = μ⋅
dy

At the surface y = 0

τyx = ρ⋅ g ⋅ h ⋅ sin( θ)

Hence

τyx = 0.85 × 1.94⋅

θ = 45⋅ deg

⎛
y ⎞
τyx = μ⋅
= μ⋅
⋅ ⎜ h⋅ y −
⋅ sin( θ) = ρ⋅ g ⋅ ( h − y ) ⋅ sin( θ)
dy
dy μ ⎝
2 ⎠

du

Basic equation

2

du

slug
ft

3

× 32.2⋅

ft
2

s

d ρ⋅ g

× 0.1⋅ in ×

1 ⋅ ft
12⋅ in

2

2

× sin( 45⋅ deg) ×

lbf ⋅ s

slug⋅ ft

The surface is a positive y surface. Since τyx > 0, the shear stress on the surface must act in the plus x direction.

lbf
τyx = 0.313 ⋅
2
ft

Problem 2.44

Given:

Ice skater and skate geometry

Find:

Deceleration of skater

[Difficulty: 2]

τ yx = µ

y

Solution:
Governing equation:

du
τyx = μ⋅
dy

ΣFx = M ⋅ ax

du
dy

V = 20 ft/s

h
x
L

Assumptions: Laminar flow
The given data is

W = 100 ⋅ lbf

V = 20⋅
− 5 lbf ⋅ s

μ = 3.68 × 10

⋅

ft
Then

ft

L = 11.5⋅ in

s

w = 0.125 ⋅ in

Table A.7 @32oF

2

du
V
ft
1
12⋅ in
− 5 lbf ⋅ s
τyx = μ⋅
= μ⋅ = 3.68 × 10 ⋅
× 20⋅ ×
×
dy
h
2
s
0.0000575 ⋅ in
ft
ft
lbf
τyx = 154 ⋅
2
ft

Equation of motion

ΣFx = M ⋅ ax

ax = −

τyx⋅ A⋅ g
W

ax = −154

lbf
ft

ax = −0.495 ⋅

−W
τyx⋅ A =
⋅a
g x

or

2

ft
2

s

=−

τyx⋅ L⋅ w⋅ g
W

× 11.5⋅ in × 0.125 ⋅ in × 32.2⋅

ft
2

s

×

1
100 ⋅ lbf

×

ft

2

( 12⋅ in)

2

h = 0.0000575 ⋅ in

Problem 2.45

Given:

Block pulled up incline on oil layer

Find:

Force required to pull the block

[Difficulty: 2]

Solution:
Governing equations:

U

du
τyx = μ⋅
dy

y

x

x

f

N
W

d

ΣFx = M ⋅ ax

θ

Assumptions: Laminar flow
The given data is

W = 10⋅ lbf

U = 2⋅

μ = 3.7 × 10

− 2 N⋅ s

⋅

ft

w = 10⋅ in

s

d = 0.001 ⋅ in

θ = 25⋅ deg

Fig. A.2 @100 oF (38oC)

2

m
Equation of motion

ΣFx = M ⋅ ax = 0

The friction force is

du
U 2
f = τyx⋅ A = μ⋅ ⋅ A = μ⋅ ⋅ w
dy
d

Hence

F = f + W⋅ sin( θ) = μ⋅
− 2 N⋅ s

F = 3.7 × 10

F = 17.1⋅ lbf

F − f − W⋅ sin( θ) = 0

s
o

U
d

2

⋅ w + W⋅ sin( θ)
2

lbf ⋅ s m
ft
1
ft
2
⋅
× 0.0209⋅
⋅
× 2⋅ ×
× ( 10⋅ in) ×
+ 10⋅ lbf ⋅ sin( 25⋅ deg)
2
2 N⋅ s
s
0.001 ⋅ in
12⋅ in
m
ft

Problem 2.46

Given:

Block moving on incline on oil layer

Find:

Speed of block when free, pulled, and pushed

[Difficulty: 2]

Solution:

y

U

Governing equations:

x

x

du

τyx = μ⋅
dy

f

N
W

ΣFx = M ⋅ ax

d

θ

Assumptions: Laminar flow
The given data is

M = 10⋅ kg

W = M⋅ g

W = 98.066 N

d = 0.025 ⋅ mm

θ = 30⋅ deg

F = 75⋅ N

− 1 N⋅s

μ = 10

⋅

w = 250 ⋅ mm

Fig. A.2 SAE 10-39 @30oC

2

m
Equation of motion

ΣFx = M ⋅ ax = 0

The friction force is

du
U 2
f = τyx⋅ A = μ ⋅ ⋅ A = μ ⋅ ⋅ w
dy
d

Hence for uphill motion

F = f + W ⋅ sin ( θ) = μ ⋅

For no force:

U =

d ⋅ W⋅ sin( θ)
2

F − f − W ⋅ sin ( θ) = 0

so

U
d

U =

d ⋅ ( F − W⋅ sin( θ) )
2

μ⋅ w

U=

d ⋅ ( F − W⋅ sin( θ) )

(For downpush change
sign of W)

2

μ⋅ w

U = 0.196

m

U = 0.104

m

μ⋅ w

Pushing up:

2

⋅ w + W ⋅ sin ( θ)

s

s

Pushing down:

U =

d ⋅ ( F + W ⋅ sin ( θ) )
2

μ⋅w

U = 0.496

m
s

Problem 2.47

[Difficulty: 2]

Given:

Data on tape mechanism

Find:

Maximum gap region that can be pulled without breaking tape

Solution:
Basic equation

du
τyx  μ
dy

F  τyx A

and

FT  2  F  2  τyx A

Here F is the force on each side of the tape; the total force is then
The velocity gradient is linear as shown

du
dy



V 0
c



V
c

A  w L

Combining these results

V
FT  2  μ  w L
c
L

Solving for L

c

y

The area of contact is

t
F,V
x
c

FT c
2  μ V w

L
The given data is

Hence

FT  25 lbf

c  0.012  in

L  25 lbf  0.012  in 

1  ft
12 in



μ  0.02

1
2



1



ft s

0.02 slug

slug
ft s


V  3

ft
s

w  1  in

1 s
1 1
12 in slug ft
 


3 ft 1 in
2
1  ft
s  lbf

L  2.5 ft

Problem 2.48

Given:

Flow data on apparatus

Find:

The terminal velocity of mass m

[Difficulty: 2]

Solution:
Given data:

Dpiston = 73⋅ mm

Dtube = 75⋅ mm

Mass = 2 ⋅ kg

Reference data:

kg
ρwater = 1000⋅
3
m

(maximum density of water)

L = 100 ⋅ mm

μ = 0.13⋅

From Fig. A.2:, the dynamic viscosity of SAE 10W-30 oil at 25oC is:

SG Al = 2.64

N⋅ s
2

m

The terminal velocity of the mass m is equivalent to the terminal velocity of the piston. At that terminal speed, the acceleration of
the piston is zero. Therefore, all forces acting on the piston must be balanced. This means that the force driving the motion
(i.e. the weight of mass m and the piston) balances the viscous forces acting on the surface of the piston. Thus, at r = Rpiston:
2 ⎞⎤
⎡⎢
⎛⎜ π⋅ D
piston ⋅ L ⎥
⎢Mass + SGAl⋅ ρwater⋅ ⎜
⎥ ⋅ g = τrz⋅ A =
4
⎣
⎝
⎠⎦

⎛ μ⋅ d V ⎞ ⋅ π⋅ D
⎜
piston⋅ L)
z (
⎝ dr ⎠

The velocity profile within the oil film is linear ...
d
Vz =
dr

Therefore

V

⎛ Dtube − Dpiston ⎞
⎜
⎝

⎠

2

Thus, the terminal velocity of the piston, V, is:

g ⋅ ⎛ SG Al⋅ ρwater⋅ π⋅ Dpiston ⋅ L + 4 ⋅ Mass⎞ ⋅ Dtube − Dpiston
⎝
⎠
2

V =

or

V = 10.2

8 ⋅ μ⋅ π⋅ Dpiston⋅ L
m
s

(

)

Problem 2.49

[Difficulty: 3]

Given:

Flow data on apparatus

Find:

Sketch of piston speed vs time; the time needed for the piston to reach 99% of its new terminal speed.

Solution:
Given data:

Dpiston  73 mm

Dtube  75 mm

L  100  mm

Reference data:

kg
ρwater  1000
3
m

(maximum density of water)

(From Problem 2.48)

μ  0.13

From Fig. A.2, the dynamic viscosity of SAE 10W-30 oil at 25oC is:

m
V0  10.2
s

SG Al  2.64

N s
2

m
The free body diagram of the piston after the cord is cut is:
Piston weight:

2
 π D
piston
Wpiston  SGAl ρwater g  
L
4



Viscous force:

Fviscous( V)  τrz A

or

Fviscous( V)  μ 
1


   π Dpiston L
   Dtube  Dpiston
2

dV
mpiston
 Wpiston  Fviscous( V)
dt

Applying Newton's second law:

Therefore

dV
dt

If

 g  a V

V  g  a V

V

where

then

The differential equation becomes

a 

dX
dt
dX
dt

The solution to this differential equation is:

8 μ



SGAl ρwater Dpiston Dtube  Dpiston
 a



dV
dt

 a X

X( t)  X0  e

 a t

where

X( 0 )  g  a V0

or

g  a V( t)  g  a V0  e





 a t

Therefore

g (  a t) g
V( t)   V0    e

a
a


Plotting piston speed vs. time (which can be done in Excel)

Piston speed vs. time
12

10

8

V ( t) 6

4

2

0

1

2
t

The terminal speed of the piston, Vt, is evaluated as t approaches infinity
g
Vt 
a

or

m
Vt  3.63
s

The time needed for the piston to slow down to within 1% of its terminal velocity is:

 V  g 
 0 a
t   ln

a
g
 1.01 Vt 
a

1

or

t  1.93 s

3

Problem 2.50

[Difficulty: 3]

Given:

Block on oil layer pulled by hanging weight

Find:

Expression for viscous force at speed V; differential equation for motion; block speed as function of time; oil viscosity

Mg

Solution:
Governing equations:

x
y

Ft
du
τyx = μ⋅
dy

ΣFx = M ⋅ ax

Ft

Fv
mg

N

Assumptions: Laminar flow; linear velocity profile in oil layer
M = 5 ⋅ kg

Equation of motion (block)

ΣFx = M ⋅ ax

so

dV
Ft − Fv = M ⋅
dt

( 1)

Equation of motion (block)

ΣFy = m⋅ ay

so

dV
m⋅ g − Ft = m⋅
dt

( 2)

Adding Eqs. (1) and (2)

dV
m⋅ g − Fv = ( M + m) ⋅
dt

The friction force is

du
V
Fv = τyx⋅ A = μ⋅ ⋅ A = μ⋅ ⋅ A
dy
h

Hence

m⋅ g −

To solve separate variables

W = m⋅ g = 9.81⋅ N

μ⋅ A
h

M+m

dt =

m⋅ g −
t=−

Hence taking antilogarithms

1−

⋅ V = ( M + m) ⋅

μ⋅ A
h

( M + m) ⋅ h
μ⋅ A

μ⋅ A
m⋅ g ⋅ h

A = 25⋅ cm

2

The given data is

h = 0.05⋅ mm

dV
dt

⋅ dV
⋅V
⋅ ⎛⎜ ln⎜⎛ m⋅ g −

⎝ ⎝
−

⋅V = e

μ⋅ A

μ⋅ A
( M+ m) ⋅ h

h
⋅t

⋅ V⎞ − ln( m⋅ g ) ⎞ = −

⎠

⎠

( M + m) ⋅ h
μ⋅ A

⋅ ln⎛⎜ 1 −

⎝

μ⋅ A
m⋅ g ⋅ h

⋅ V⎞

⎠

⎡
−
m⋅ g ⋅ h ⎢
V=
⋅ ⎣1 − e

Finally

μ⋅ A
( M + m) ⋅ h

μ⋅ A

⎤
⎥
⎦

⋅t

The maximum velocity is V =

m⋅ g ⋅ h
μ⋅ A

In Excel:
The data is

M=
m=

5.00
1.00

kg
kg

To find the viscosity for which the speed is 1 m/s after 1 s
use Goal Seek with the velocity targeted to be 1 m/s by varying

g=
0=

9.81

the viscosity in the set of cell below:

1.30

m/s2
N.s/m2

A=
h=

25
0.5

cm 2
mm

t (s)
1.00

V (m/s)
1.000

Speed V of Block vs Time t
t (s)
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
1.10
1.20
1.30
1.40
1.50
1.60
1.70
1.80
1.90
2.00
2.10
2.20
2.30
2.40
2.50
2.60
2.70
2.80
2.90
3.00

V (m/s)
0.000
0.155
0.294
0.419
0.531
0.632
0.722
0.803
0.876
0.941
1.00
1.05
1.10
1.14
1.18
1.21
1.25
1.27
1.30
1.32
1.34
1.36
1.37
1.39
1.40
1.41
1.42
1.43
1.44
1.45
1.46

1.6
1.4
1.2
1.0

V (m/s) 0.8
0.6
0.4
0.2
0.0
0.0

0.5

1.0

1.5

t (s)

2.0

2.5

3.0

Problem 2.51

[Difficulty: 4]

Ff = τ⋅ A
x, V, a

M⋅ g

Given:

Data on the block and incline

Find:

Initial acceleration; formula for speed of block; plot; find speed after 0.1 s. Find oil viscosity if speed is 0.3 m/s after
0.1 s

Solution:
Given data

M = 5 ⋅ kg

From Fig. A.2

μ = 0.4⋅

A = ( 0.1⋅ m)

2

d = 0.2⋅ mm

θ = 30⋅ deg

N⋅ s
2

m

Applying Newton's 2nd law to initial instant (no friction)

so

M ⋅ a = M ⋅ g ⋅ sin( θ) − Ff = M ⋅ g ⋅ sin( θ)
ainit = g ⋅ sin( θ) = 9.81⋅

m
2

× sin( 30⋅ deg)

s
M ⋅ a = M ⋅ g ⋅ sin( θ) − Ff

Applying Newton's 2nd law at any instant

so

M⋅ a = M⋅

dV

g ⋅ sin( θ) −

−

Integrating and using limits

or

V = 5 ⋅ kg × 9.81⋅

m
2

s

V( 0.1⋅ s) = 0.404 ⋅

m
s

M⋅ d
μ⋅ A

μ⋅ A
M⋅ d

⋅ ln⎛⎜ 1 −

⎝

m
2

s

du
V
Ff = τ⋅ A = μ⋅ ⋅ A = μ⋅ ⋅ A
dy
d

and
μ⋅ A

= M ⋅ g ⋅ sin( θ) −

dV

Separating variables

At t = 0.1 s

dt

ainit = 4.9

d

⋅V

= dt
⋅V

μ⋅ A
M ⋅ g ⋅ d ⋅ sin( θ)

⋅ V⎞ = t

⎠

− μ⋅ A ⎞
⎛
⋅t
⎜
M ⋅ g ⋅ d ⋅ sin( θ)
M⋅ d
V( t) =
⋅⎝1 − e
⎠

μ⋅ A

2

× 0.0002⋅ m⋅ sin( 30⋅ deg) ×

m

0.4⋅ N⋅ s⋅ ( 0.1⋅ m)

⎛ 0.4⋅ 0.01 ⋅ 0.1⎞⎤
⎡
−⎜
⎢
N⋅ s
5⋅ 0.0002
⎠⎥
×
× ⎣1 − e ⎝
⎦
2

2

kg⋅ m

The plot looks like

V (m/s)

1.5

1

0.5

0

0.2

0.4

0.6

0.8

t (s)

To find the viscosity for which V(0.1 s) = 0.3 m/s, we must solve
− μ⋅ A
⎤
⎡
⋅ ( t= 0.1⋅ s )
⎢
⎥
M ⋅ g ⋅ d ⋅ sin( θ)
M⋅ d
V( t = 0.1⋅ s) =
⋅ ⎣1 − e
⎦

μ⋅ A

The viscosity µ is implicit in this equation, so solution must be found by manual iteration, or by any of a number of classic
root-finding numerical methods, or by using Excel's Goal Seek

Using Excel:

μ = 1.08⋅

N⋅ s
2

m

1

Problem 2.52

[Difficulty: 3]

Given:

Block sliding on oil layer

Find:

Direction of friction on bottom of block and on plate; expression for speed U versus time; time required to lose 95%
of initial speed

Solution:

U

Governing equations:

du
τyx = μ⋅
dy

ΣFx = M ⋅ ax

Fv
y

h

Assumptions: Laminar flow; linear velocity profile in oil layer

x
The bottom of the block is a -y surface, so τyx acts to the left; The plate
is a +y surface, so τyx acts to the right
Equation of motion

ΣFx = M ⋅ ax

The friction force is

du
U 2
Fv = τyx⋅ A = μ⋅ ⋅ A = μ⋅ ⋅ a
dy
h

Hence

−

2

1
U

dU

⋅ U = M⋅

h

⋅ dU = −

μ⋅ a

dt

2

⋅ dt

M⋅ h

2

⎞ = − μ⋅ a ⋅ t
M⋅ h
⎝ U0 ⎠

ln⎛⎜

dU
Fv = M ⋅
dt

U

U

To solve separate variables

μ⋅ a

so

2

−

Hence taking antilogarithms

U = U0 ⋅ e

μ⋅ a

M⋅ h

⋅t

t
t=−

Solving for t

M⋅ h
μ⋅ a

Hence for

U
U0

= 0.05

t = 3.0⋅

2

⋅ ln⎛⎜

⎞

⎝ U0 ⎠

M⋅ h
μ⋅ a

U

2

Problem 2.53

Given:

Varnish-coated wire drawn through die

Find:

Force required to pull wire

[Difficulty: 2]

r

F

x

D

d

Solution:
Governing equations:

du
τyx = μ⋅
dy

ΣFx = M ⋅ ax

L

Assumptions: Laminar flow; linear velocity profile in varnish layer
The given data is

D = 1 ⋅ mm

d = 0.9⋅ mm

L = 50⋅ mm

Equation of motion

ΣFx = M ⋅ ax

F − Fv = 0

The friction force is

du
V
Fv = τyx⋅ A = μ⋅ ⋅ A = μ⋅
⋅ π⋅ d ⋅ L
dr
⎛D − d⎞

so

V = 50⋅

−2

m

μ = 20 × 10

s

poise

for steady speed

⎜
⎝ 2 ⎠

Hence

F − Fv = 0

so

F =

2 ⋅ π⋅ μ⋅ V⋅ d ⋅ L
D− d

−2

F = 2 ⋅ π × 20 × 10

F = 2.83 N

poise ×

0.1⋅ kg
m⋅ s⋅ poise

× 50⋅

m
s

× 0.9⋅ mm × 50⋅ mm ×

1
( 1 − 0.9) ⋅ mm

×

m
1000⋅ mm

Problem 2.54

[Difficulty: 3]

Given:

Data on annular tube

Find:

Whether no-slip is satisfied; location of zeroshear stress; viscous forces

Solution:
The velocity profile is

Check the no-slip condition. When

2
2


Ro  Ri
r
2
2

u z( r) 

 ln 
 Ri  r 
4 μ L 
 Ri  
 Ri 
ln


 Ro 


∆p

1

2
2

Ro  Ri
 Ro  
2
2

u z R o  

 ln
 Ri  Ro 
4 μ L 
 Ri  
 Ri 
ln

 Ro 



1

r  Ro

∆p

1 ∆p  2
2
2
2
u z Ro 

 R  Ro   Ro  Ri   0


4 μ L  i

 

When

r  Ri

2
2

Ro  Ri
 Ri  
2
2

u z R i  

 ln
 Ri  Ri 
0
Ri 
4 μ L 
 Ri 
 
ln

Ro

 


1

∆p

The no-slip condition is satisfied.

The given data is

The viscosity of the honey is

Ri  5  mm

Ro  25 mm

μ  5

N s
2

m

∆p  125  kPa

L  2 m

The plot looks like

Radial Position (mm)

25
20
15
10
5

0

0.25

0.5

0.75

Velocity (m/s)
For each, shear stress is given by

du
τrx  μ
dr

τrx  μ

duz( r)
dr

2
2



Ro  Ri
1 ∆p  2
r
2


 ln  
 μ
 Ri  r 
dr  4  μ L 
 Ri  
 Ri 
ln





 Ro 


d


Ro  Ri
1 ∆p 
τrx  
 2  r 
4 L 
 Ri 
ln
r

 Ro 

2

Hence

2

For zero stress

2  r 

Ro  Ri

2




2

 Ri 
ln
r
 Ro 

2

0

r 

or

2
2

Ro  Ri 
2

Fo  ∆p π Ro 

 Ri  
2  ln


 Ro  

2

2

 Ri 
2  ln
 Ro 


Ro  Ri 
1 ∆p 
Fo  τrx A  
 2  Ro 
 2  π R o  L
4 L 
 Ri  
ln
 Ro


 Ro  
2

On the outer surface

Ri  Ro

r  13.7 mm


2
2  1  m 


2 ( 25 mm)  ( 5  mm)   
1 m 

3 N
 1000 mm 
Fo  125  10 
 π   25 mm 


2
1000 mm 
5
m
2  ln 


 25 
Fo  172 N


Ro  Ri 
1 ∆p 
Fi  τrx A  
 2  Ri 
 2  π R i  L
4 L 
 Ri  
ln
 Ri


 Ro  
2

On the inner surface

2

2
2

Ro  Ri 
2

Fi  ∆p π Ri 

 Ri  
2  ln


 Ro  

Hence

2

2
2  1  m 



(
25

mm
)

(
5

mm
)

 
2
1 m 

3 N
 1000 mm 
Fi  125  10 
 π   5  mm 


2
1000 mm 
5
m
2  ln 


 25 

Fi  63.4 N
Note that

Fo  Fi  236 N

and

∆p π  Ro  Ri

2

2

  236 N

The net pressure force just balances the net
viscous force!

Problem 2.55

[Difficulty: 3]

Given:

Data on flow through a tube with a filament

Find:

Whether no-slip is satisfied; location of zero stress;stress on tube and filament

Solution:
V( r) 

The velocity profile is

Check the no-slip condition.
When

r

r

d
2



∆p

2

ln

V

D



2

1



∆p

16 μ L



∆p

d

 ln

2

2



2

2

D d

 d d 

2

2

2 r  

 d 



16 μ L 

1

 d  D  D  d


16 μ L 

1

2

 D

2

V( d ) 

2

D d

2

 d  4 r 

D

V( D) 

When


16 μ L 

1

∆p

2

2

 d D 

2

D d
ln

2

d

 D

 ln

D 

 d 


  0

2

2

d
ln 
 D



 ln

d 

 d 


0

The no-slip condition is satisfied.
The given data is

d  1  μm

The viscosity of SAE 10-30 oil at 100 oC is (Fig. A.2)

D  20 mm

∆p  5  kPa

 2 N s

μ  1  10



2

m

L  10 m

The plot looks like

Radial Position (mm)

10
8
6
4
2

0

0.25

0.5

0.75

1

Velocity (m/s)

du
τrx  μ
dr

For each, shear stress is given by

dV( r)
d
τrx  μ
 μ
dr
dr

2
2
 1 ∆p  2
D d
2  r  
2

 ln
 d  4 r 
 16 μ L 

d
 Di  
ln 


 D


1 ∆p 
D d 
τrx( r) 

 8  r 

16 L 
d
ln   r

 D 
2

2

8  r 

For the zero-stress point

D d

2

2

d
ln   r
 D

2

0

or

r 

2

d D

d
8  ln 
 D

r  2.25 mm

Radial Position (mm)

10

7.5

5

2.5

3

2

1

0

1

2

3

4

Stress (Pa)

Using the stress formula

D
τrx   2.374 Pa
2

 

d
τrx   2.524  kPa
2

 

Problem 2.56

Given:

Flow between two plates

Find:

Force to move upper plate; Interface velocity

[Difficulty: 2]

Solution:
The shear stress is the same throughout (the velocity gradients are linear, and the stresses in the fluid at the interface must be
equal and opposite).
Hence

du1
du2
τ  μ1 
 μ2 
dy
dy

Solving for the interface
velocity V i

Then the force
required is

Vi 



Vi
V  Vi
μ1 
 μ2 
h1
h2

or

V
μ1 h 2
1

μ2 h 1

1




where V i is the interface velocity

m
s

0.1 0.3
1

0.15 0.5

m
Vi  0.714
s

Vi
N s
m
1
1000 mm
2
F  τ A  μ1   A  0.1
 0.714  

 1 m
h1
2
s
0.5 mm
1 m
m

F  143 N

Problem 2.57

[Difficulty: 2]

Given:

Flow of three fluids between two plates

Find:

Upper plate velocity; Interface velocities; plot velocity distribution

Solution:
The shear stress is the same throughout (the velocity gradients are linear, and the stresses in the fluids at the interfaces must be
equal and opposite).
F  100  N

Given data

h 1  0.5 mm

2

A  1 m

μ1  0.15

h 2  0.25 mm

N s
2

μ2  0.5

m
τ 

The (constant) stress is
τ  μ

For each fluid

∆V

or

∆y

τ h 1
V12 
μ1
τ h 2
V23 
 V12
μ2
τ h 3
V 
 V23
μ3

Hence

Hence

Hence

F

2

μ3  0.2

m

N s
2

m

τ  100 Pa

A

∆V 

N s

h 3  0.2 mm

τ ∆y
μ

where ΔV is the overall change in velocity over distance Δy

m
V12  0.333
s

where V 12 is the velocity at the 1 - 2 interface

m
V23  0.383
s

where V 23 is the velocity at the 2 - 3 interface

V  0.483

m

where V is the velocity at the upper plate

s

1

Position (mm)

0.75

0.5

0.25

0

0.1

0.2

0.3

Velocity (m/s)

0.4

0.5

Problem 2.58

[Difficulty: 2]

Problem 2.59

[Difficulty: 2]

Problem 2.60

[Difficulty: 2]

Problem 2.61

Given:

Data on the viscometer

Find:

Time for viscometer to lose 99% of speed

[Difficulty: 3]

Solution:
The given data is

R = 50⋅ mm

H = 80⋅ mm

2

a = 0.20⋅ mm

I = 0.0273⋅ kg⋅ m

μ = 0.1⋅

N⋅ s
2

m
I⋅ α = Torque = −τ⋅ A⋅ R

The equation of motion for the slowing viscometer is

where α is the angular acceleration and τ is the viscous stress, and A is the surface area of the viscometer
The stress is given by

τ = μ⋅

du
dy

= μ⋅

V− 0

μ⋅ V

=

a

a

=

μ⋅ R⋅ ω
a

where V and ω are the instantaneous linear and angular velocities.
Hence

Separating variables

μ⋅ R⋅ ω

I⋅ α = I⋅

dω

dω

μ⋅ R ⋅ A

ω

dt

=−

a

2

μ⋅ R ⋅ A

⋅ A⋅ R =

a

⋅ω

2

=−

a⋅ I

⋅ dt
2

−

Integrating and using IC ω = ω0

μ⋅ R ⋅ A

ω( t) = ω0 ⋅ e

a⋅ I

⋅t

2

−

A = 2 ⋅ π⋅ R ⋅ H

a⋅ I

0.01⋅ ω0 = ω0 ⋅ e

The time to slow down by 99% is obtained from solving

Note that

μ⋅ R ⋅ A

t=−

so

a⋅ I
2

⋅ ln( 0.01)

μ⋅ R ⋅ A
a⋅ I

t=−

so

⋅t

⋅ ln( 0.01)

3

2 ⋅ π⋅ μ⋅ R ⋅ H
2

t = −

0.0002⋅ m⋅ 0.0273⋅ kg⋅ m
2⋅ π

2

⋅

m

0.1⋅ N⋅ s

⋅

1
( 0.05⋅ m)

⋅

1

2

⋅

N⋅ s

3 0.08⋅ m kg⋅ m

⋅ ln( 0.01)

t = 4.00 s

Problem 2.62

Difficulty: [2]

Problem 2.63

[Difficulty: 4]

Problem 2.64

[Difficulty: 3]

Given: Shock-free coupling assembly
Find:

Required viscosity

Solution:
du
τrθ = μ⋅
dr

Basic equation

Shear force

F = τ⋅ A

V2 = ω2(R + δ)

δ

τrθ = μ⋅

V1 = ω1R

P = T⋅ ω2 = F⋅ R⋅ ω2 = τ⋅ A2 ⋅ R⋅ ω2 =
P=

Hence

(

P = T⋅ ω

Power

⎡⎣ω1⋅ R − ω2 ⋅ ( R + δ)⎤⎦
du
∆V
τrθ = μ⋅
= μ⋅
= μ⋅
dr
∆r
δ

Assumptions: Newtonian fluid, linear velocity
profile

Then

Torque T = F⋅ R

)

(

)

μ⋅ ω1 − ω2 ⋅ R
δ

(ω1 − ω2)⋅ R

Because δ << R

δ

⋅ 2 ⋅ π⋅ R⋅ L⋅ R⋅ ω2

3

2 ⋅ π⋅ μ⋅ ω2 ⋅ ω1 − ω2 ⋅ R ⋅ L
δ
P⋅ δ

μ=

(

)

3

2 ⋅ π⋅ ω2 ⋅ ω1 − ω2 ⋅ R ⋅ L
μ =

10⋅ W × 2.5 × 10

μ = 0.202 ⋅

2⋅ π
N⋅ s
2

m

−4

⋅m

×

1

⋅

min

9000 rev

μ = 2.02⋅ poise

×

1

⋅

min

1000 rev

×

1
( .01⋅ m)

3

×

1
0.02⋅ m

×

N⋅ m
s⋅ W

2

×

⎛ rev ⎞ × ⎛ 60⋅ s ⎞
⎜ 2 ⋅ π⋅ rad
⎜
⎝
⎠ ⎝ min ⎠

which corresponds to SAE 30 oil at 30oC.

2

Problem 2.65

[Difficulty: 4] Part 1/2

Problem 2.65

[Difficulty: 4] Part 2/2

Problem 2.66

[Difficulty: 4]

Problem 2.67

[Difficulty: 4]

The data is

N (rpm) µ (N·s/m )
10
0.121
20
0.139
30
0.153
40
0.159
50
0.172
60
0.172
70
0.183
80
0.185
2

The computed data is
ω (rad/s) ω/θ (1/s) η (N·s/m x10 )
1.047
120
121
2.094
240
139
3.142
360
153
4.189
480
159
5.236
600
172
6.283
720
172
7.330
840
183
8.378
960
185
2

3

From the Trendline analysis
k = 0.0449
n - 1 = 0.2068
n = 1.21

The fluid is dilatant

The apparent viscosities at 90 and 100 rpm can now be computed
N (rpm) ω (rad/s)
90
9.42
100
10.47

ω/θ (1/s)
1080
1200

η (N·s/m x10 )
191
195
2

3

Viscosity vs Shear Rate

2
3
η (N.s/m x10 )

1000
Data
Power Trendline

100

η = 44.94(ω/θ)
2
R = 0.9925

0.2068

10
100

1000
Shear Rate ω/θ (1/s)

Problem 2.69

[Difficulty: 4]

Given:

Data on insulation material

Find:

Type of material; replacement material

Solution:
The velocity gradient is
du/dy = U/ δ

Data and
computations

where δ =

τ (Pa)
50
100
150
163
171
170
202
246
349
444

U (m/s)
0.000
0.000
0.000
0.005
0.01
0.03
0.05
0.1
0.2
0.3

0.001 m

du/dy (s-1)
0
0
0
5
10
25
50
100
200
300

Hence we have a Bingham plastic, with

τy =

154

µp =

0.963

Pa
2
N·s/m

At τ = 450 Pa, based on the linear fit

du/dy =

307

s

For a fluid with

τy =

250

Pa

-1

we can use the Bingham plastic formula to solve for µ p given τ , τ y and du/dy from above

µp =

N·s/m

0.652

2

Shear Stress vs Shear Strain
500
450

τ (Pa)

400
350
300
250

Linear data fit:
τ = 0.9632(du/dy ) + 154.34
2
R = 0.9977

200
150
100
50
0
0

50

100

150

200

du/dy (1/s)

250

300

350

Problem 2.70

[Difficulty: 3]

Given: Viscometer data
Find:

Value of k and n in Eq. 2.17

Solution:

τ (Pa)

du/dy (s-1)

0.0457
0.119
0.241
0.375
0.634
1.06
1.46
1.78

5
10
25
50
100
200
300
400

Shear Stress vs Shear Strain
10

Data
Power Trendline

τ (Pa)

The data is

1
1

10

100

τ = 0.0162(du/dy)0.7934
2
R = 0.9902

0.1

0.01

du/dy (1/s)

k = 0.0162
n = 0.7934

Hence we have

The apparent viscosity from

Blood is pseudoplastic (shear thinning)

η =

-1
du/dy (s ) η (N·s/m )
2

5
10
25
50
100
200
300
400

0.0116
0.0101
0.0083
0.0072
0.0063
0.0054
0.0050
0.0047

k (du/dy )n -1
2
o
µ water = 0.001 N·s/m at 20 C

Hence, blood is "thicker" than water!

1000

Problem 2.71

[Difficulty: 5]

Problem 2.72

[Difficulty: 5]

Problem 2.73

[Difficulty: 4]

Given:

Conical bearing geometry

Find:

Expression for shear stress; Viscous torque on shaft

Solution:
Basic equation

ds

τ = μ⋅

du

dT = r⋅ τ⋅ dA

dy

dz
z

Infinitesimal shear torque

AA
r

Assumptions: Newtonian fluid, linear velocity profile (in narrow clearance gap), no slip condition
Section AA

tan( θ) =

r

r = z⋅ tan( θ)

so

z

U = ωr

a

Then

τ = μ⋅

du
dy

= μ⋅

∆u
∆y

= μ⋅

( ω⋅ r − 0 )
(a − 0)

=

μ⋅ ω⋅ z⋅ tan( θ)
a

As we move up the device, shear stress increases linearly (because rate of shear strain does)
But from the sketch

dz = ds ⋅ cos( θ)

The viscous torque on the element of area is

dA = 2 ⋅ π⋅ r⋅ ds = 2 ⋅ π⋅ r⋅
dT = r⋅ τ⋅ dA = r⋅
T=

Solving for µ

μ=

Using given data

cos( θ)

μ⋅ ω⋅ z⋅ tan( θ)
a
3

Integrating and using limits z = H and z = 0

dz

⋅ 2 ⋅ π⋅ r⋅

3

dz

dT =

cos( θ)

2 ⋅ π⋅ μ⋅ ω⋅ z ⋅ tan( θ)
a⋅ cos( θ)

4

π⋅ μ⋅ ω⋅ tan( θ) ⋅ H
2 ⋅ a⋅ cos( θ)
2 ⋅ a⋅ cos( θ) ⋅ T
3

4

π⋅ ω⋅ tan( θ) ⋅ H
H = 25⋅ mm

θ = 30⋅ deg

μ =

a = 0.2⋅ mm

2 ⋅ a⋅ cos( θ) ⋅ T
3

4

π⋅ ω⋅ tan( θ) ⋅ H
From Fig. A.2, at 20oC, CASTOR OIL has this viscosity!

ω = 75⋅

rev

T = 0.325 ⋅ N⋅ m

s

μ = 1.012 ⋅

N⋅ s
2

m

3

⋅ dz

Problem 2.74

[Difficulty: 5]

Problem 2.75

[Difficulty: 5]

Problem 2.76

Given:

[Difficulty: 5]

Geometry of rotating bearing

Find:

Expression for shear stress; Maximum shear stress; Expression for total torque; Total torque

Solution:
τ = μ⋅

Basic equation

du

dT = r⋅ τ⋅ dA

dy

Assumptions: Newtonian fluid, narrow clearance gap, laminar motion
From the figure

h = a + R⋅ ( 1 − cos( θ) )

dA = 2 ⋅ π⋅ r⋅ dr = 2 ⋅ π R⋅ sin( θ) ⋅ R⋅ cos( θ) ⋅ dθ

To find the maximum τ set

du
dy

=

dy

=

u−0

u = ω⋅ r = ω⋅ R⋅ sin( θ)

τ = μ⋅

Then

du

r = R⋅ sin( θ)

h

u

=

h

μ⋅ ω⋅ R⋅ sin( θ)
a + R⋅ ( 1 − cos( θ) )

d ⎡ μ⋅ ω⋅ R⋅ sin( θ) ⎤
⎢
⎥=0
dθ ⎣ a + R⋅ ( 1 − cos( θ) ) ⎦
R⋅ cos( θ) − R + a⋅ cos( θ) = 0

R⋅ μ⋅ ω⋅ ( R⋅ cos( θ) − R + a⋅ cos( θ) )

so

( R + a − R⋅ cos( θ) )
θ = acos⎛⎜

2

⎞ = acos⎛ 75 ⎞
⎜ 75 + 0.5
⎝ R + a⎠
⎝
⎠
R

=0

θ = 6.6⋅ deg

kg

τ = 12.5⋅ poise × 0.1⋅
τ = 79.2⋅

m⋅ s

poise

2

× 2 ⋅ π⋅

70 rad
1
N⋅ s
⋅
× 0.075 ⋅ m × sin( 6.6⋅ deg) ×
×
60 s
[ 0.0005 + 0.075 ⋅ ( 1 − cos( 6.6⋅ deg) ) ] ⋅ m m⋅ kg

N
2

m

The torque is

⌠
T = ⎮ r⋅ τ⋅ A dθ =
⌡

θ
⌠ max
4
2
μ⋅ ω⋅ R ⋅ sin( θ) ⋅ cos( θ)
⎮
dθ
⎮
a + R⋅ ( 1 − cos( θ) )
⌡

wher
e

⎛ R0 ⎞
θmax = asin⎜
⎝R⎠

0

This integral is best evaluated numerically using Excel, Mathcad, or a good calculator

T = 1.02 × 10

−3

⋅ N⋅ m

θmax = 15.5⋅ deg

Problem 2.77

[Difficulty: 2]

Problem 2.78

Given:

Data on size of various needles

Find:

Which needles, if any, will float

[Difficulty: 2]

Solution:
For a steel needle of length L, diameter D, density ρs, to float in water with surface tension σ and contact angle θ, the vertical
force due to surface tension must equal or exceed the weight
2

2 ⋅ L⋅ σ⋅ cos( θ) ≥ W = m⋅ g =

4

⋅ ρs⋅ L⋅ g

π⋅ SG ⋅ ρ⋅ g

θ = 0 ⋅ deg

m

8 ⋅ σ⋅ cos( θ)
π⋅ ρs⋅ g

and for water

ρ = 1000⋅

kg
3

m

SG = 7.83

From Table A.1, for steel
8 ⋅ σ⋅ cos( θ)

⋅

D≤

or

−3 N

σ = 72.8 × 10

From Table A.4

Hence

π⋅ D

=

8
π⋅ 7.83

× 72.8 × 10

−3 N

⋅

m

3

×

m

999 ⋅ kg

2

×

s

9.81⋅ m

Hence D < 1.55 mm. Only the 1 mm needles float (needle length is irrelevant)

×

kg⋅ m
2

N⋅ s

−3

= 1.55 × 10

⋅ m = 1.55⋅ mm

Problem 2.79

Given:

Caplillary rise data

Find:

Values of A and b

[Difficulty: 3]

Solution:
D (in.)
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1

h (in.)
0.232
0.183
0.090
0.059
0.052
0.033
0.017
0.010
0.006
0.004
0.003

A = 0.403
b = 4.530
2

The fit is a good one (R = 0.9919)

Capillary Rise vs. Tube Diameter
0.3

h (in.)

h = 0.403e-4.5296D
R2 = 0.9919
0.2

0.1

0.0
0.0

0.2

0.4

0.6
D (in.)

0.8

1.0

1.2

Problem 2.80

[Difficulty: 2]

Open-Ended Problem Statement: Slowly fill a glass with water to the maximum possible
level before it overflows. Observe the water level closely. Explain how it can be higher than the rim of the
glass.
Discussion: Surface tension can cause the maximum water level in a glass to be higher than the rim of
the glass. The same phenomenon causes an isolated drop of water to “bead up” on a smooth surface.
Surface tension between the water/air interface and the glass acts as an invisible membrane that allows
trapped water to rise above the level of the rim of the glass. The mechanism can be envisioned as forces
that act in the surface of the liquid above the rim of the glass. Thus the water appears to defy gravity by
attaining a level higher than the rim of the glass.
To experimentally demonstrate that this phenomenon is the result of surface tension, set the liquid level
nearly as far above the glass rim as you can get it, using plain water. Add a drop of liquid detergent (the
detergent contains additives that reduce the surface tension of water). Watch as the excess water runs over
the side of the glass.

Problem 2.81

[Difficulty: 5]

Open-Ended Problem Statement: Plan an experiment to measure the surface tension of a
liquid similar to water. If necessary, review the NCFMF video Surface Tension for ideas. Which method
would be most suitable for use in an undergraduate laboratory? What experimental precision could be
expected?

Discussion: Two basic kinds of experiment are possible for an undergraduate laboratory:
1.

Using a clear small-diameter tube, compare the capillary rise of the unknown liquid with that of a
known liquid (compare with water, because it is similar to the unknown liquid).
This method would be simple to set up and should give fairly accurate results. A vertical
traversing optical microscope could be used to increase the precision of measuring the liquid
height in each tube.
A drawback to this method is that the specific gravity and co ntact angle of the two liquids must be
the same to allow the capillary rises to be compared.
The capillary rise would be largest and therefore easiest to measure accurately in a tube with the
smallest practical diameter. Tubes of several diameters could be used if desired.

2.

Dip an object into a pool of test liquid and measure the vertical force required to pull the object
from the liquid surface.
The object might be made rectangular (e.g., a sheet of plastic material) or circular (e.g., a metal
ring). The net force needed to pull the same object from each liquid should be proportional to the
surface tension of each liquid.
This method would be simple to set up. However, the force magnitudes to be measured would be
quite small.
A drawback to this method is that the contact angles of the two liquids must be the same.

The first method is probably best for undergraduate laboratory use. A quantitative estimate of experimental
measurement uncertainty is impossible without knowing details of the test setup. It might be reasonable to
expect results accurate to within ± 10% of the true surface tension.

*Net force is the total vertical force minus the weight of the object. A buoyancy correction would be
necessary if part of the object were submerged in the test liquid.

Problem 2.82

[Difficulty: 2]

Problem 2.83

[Difficulty: 2]

Given:

Boundary layer velocity profile in terms of constants a, b and c

Find:

Constants a, b and c

Solution:
u = a + b ⋅ ⎛⎜

Basic equation

y⎞

⎝δ⎠

+ c⋅ ⎛⎜

y⎞

2

⎝δ⎠

Assumptions: No slip, at outer edge u = U and τ = 0
At y = 0

0=a

a=0

At y = δ

U= a+ b+ c

b+c=U

(1)

At y = δ

τ = μ⋅

b + 2⋅ c = 0

(2)

0=

du
dy

d
dy

a + b ⋅ ⎛⎜

y⎞

⎝δ⎠

From 1 and 2

c = −U

Hence

u = 2 ⋅ U⋅ ⎛⎜

Dimensionless Height

=0
+ c⋅ ⎛⎜

y⎞

⎝δ⎠

2

=

b
δ

+ 2 ⋅ c⋅

y
2

=

δ

b
δ

+ 2⋅

c
δ

b = 2⋅ U
y⎞

⎝δ⎠

− U⋅ ⎛⎜

y⎞

⎝δ⎠

2

u
U

= 2 ⋅ ⎛⎜

y⎞

⎝δ⎠

−

⎛y⎞
⎜δ
⎝ ⎠

2

1
0.75
0.5
0.25

0

0.25

0.5

Dimensionless Velocity

0.75

1

Problem 2.84

[Difficulty: 2]

Given:

Boundary layer velocity profile in terms of constants a, b and c

Find:

Constants a, b and c

Solution:
Basic equation

u = a + b ⋅ ⎛⎜

+ c⋅ ⎛⎜

y⎞

⎝δ⎠

y⎞

3

⎝δ⎠

Assumptions: No slip, at outer edge u = U and τ = 0
At y = 0

0=a

a=0

At y = δ

U= a+ b+ c

b+c=U

(1)

At y = δ

τ = μ⋅

b + 3⋅ c = 0

(2)

0=

From 1 and 2

Dimensionless Height

dy

d
dy

c=−
u=

Hence

du

=0

a + b ⋅ ⎛⎜

y⎞

⎝δ⎠

U

2

⋅ ⎛⎜

y⎞

⎝δ⎠

−

U
2

y⎞

⎝δ⎠

b=

2

3⋅ U

+ c⋅ ⎛⎜
3
2

⋅ ⎛⎜

3

=

b
δ

+ 3 ⋅ c⋅

y

2

3

=

b

⋅ ⎛⎜

y⎞

δ

δ

+ 3⋅

c
δ

⋅U

y⎞

⎝δ⎠

3

u
U

=

3
2

⎝δ⎠

−

1
2

⋅ ⎛⎜

y⎞

3

⎝δ⎠

1
0.75
0.5
0.25

0

0.25

0.5

Dimensionless Velocity

0.75

1

Problem 2.85

Given:

Local temperature

Find:

Minimum speed for compressibility effects

[Difficulty: 1]

Solution:
Basic equation

V = M⋅ c
c=

Hence

and

k⋅ R⋅ T

M = 0.3

for compressibility effects

For air at STP, k = 1.40 and R = 286.9J/kg.K (53.33 ft.lbf/lbmoR).

V = M ⋅ c = M ⋅ k ⋅ R⋅ T
1

V = 0.3 × ⎡1.4 × 53.33 ⋅

⎢
⎣

ft⋅ lbf
lbm⋅ R

×

32.2⋅ lbm⋅ ft
2

lbf ⋅ s

2

× ( 60 + 460 ) ⋅ R⎤ ⋅

⎥
⎦

60⋅ mph
88⋅

ft
s

V = 229 ⋅ mph

Problem 2.86

[Difficulty: 3]

Given:

Geometry of and flow rate through tapered nozzle

Find:

At which point becomes turbulent

Solution:
Basic equation

Re =

For pipe flow (Section 2-6)

ρ⋅ V⋅ D
μ

= 2300

for transition to turbulence

2

π⋅ D

Q=

Also flow rate Q is given by

4

⋅V

We can combine these equations and eliminate V to obtain an expression for Re in terms of D and Q
Re =

ρ⋅ V⋅ D
μ

=

ρ⋅ D 4 ⋅ Q
4 ⋅ Q⋅ ρ
⋅
=
μ
π⋅ μ⋅ D
2
π⋅ D

Re =

4 ⋅ Q⋅ ρ
π⋅ μ⋅ D

For a given flow rate Q, as the diameter is reduced the Reynolds number increases (due to the velocity increasing with A -1 or D -2).
Hence for turbulence (Re = 2300), solving for D

The nozzle is tapered:

Carbon tetrachloride:

Din = 50⋅ mm

μCT = 10

D=

4 ⋅ Q⋅ ρ
2300⋅ π⋅ μ

Dout =

− 3 N⋅ s

⋅

Din

Dout = 22.4⋅ mm

5

(Fig A.2)

For water

2

ρ = 1000⋅

3

m

m
SG = 1.595

kg

ρCT = SG⋅ ρ

(Table A.2)

ρCT = 1595

kg
3

m
For the given flow rate

Q = 2⋅

L

4 ⋅ Q⋅ ρCT

min

π⋅ μCT⋅ Din

For the diameter at which we reach turbulence

But

L = 250 ⋅ mm

D =

= 1354

4 ⋅ Q⋅ ρCT
2300⋅ π⋅ μCT

LAMINAR

4 ⋅ Q⋅ ρCT
π⋅ μCT⋅ Dout

D − Din
Dout − Din

Lturb = 186 ⋅ mm

TURBULENT

D = 29.4⋅ mm

and linear ratios leads to the distance from D in at which D = 29.4⋅ mm
Lturb = L⋅

= 3027

Lturb
L

=

D − Din
Dout − Din

Problem 2.87

[Difficulty: 2]

Given:

Data on water tube

Find:

Reynolds number of flow; Temperature at which flow becomes turbulent

Solution:
Basic equation

At 20oC, from Fig. A.3 ν  9  10

For the heated pipe

Hence

Re 

For pipe flow (Section 2-6)

Re 
ν

V D
ν
V D

2300

2
7 m



and so

s

 2300


1
2300

ρ V D
μ

Re  0.25



m
s

V D
ν

 0.005  m 

9  10

for transition to turbulence

 0.25

m
s

 0.005  m

From Fig. A.3, the temperature of water at this viscosity is approximately

ν  5.435  10
T  52 C

1

2
7m

s

7



s
2

m

Re  1389

Problem 2.88

[Difficulty: 3]

Given:

Data on supersonic aircraft

Find:

Mach number; Point at which boundary layer becomes turbulent

Solution:
Basic equation

V = M⋅ c

Hence

M=

V
c

c=

and

k⋅ R⋅ T

For air at STP, k = 1.40 and R = 286.9J/kg.K (53.33 ft.lbf/lbmoR).

V

=

k ⋅ R⋅ T

At 27 km the temperature is approximately (from Table A.3)

T = 223.5 ⋅ K
1
2

2
⎛
⎞ ⋅ ⎜ 1 × 1 ⋅ kg⋅ K × 1⋅ N⋅ s × 1 ⋅ 1 ⎞ M = 2.5
M = ⎜⎛ 2700 × 10 ⋅ ×
hr 3600⋅ s ⎠ ⎝ 1.4 286.9 N⋅ m
kg⋅ m
223.5 K ⎠
⎝
3 m

For boundary layer transition, from Section 2-6
Then

Retrans =

ρ⋅ V⋅ x trans

1 ⋅ hr

Retrans = 500000
μ ⋅ Retrans

x trans =

so

μ

ρ⋅ V

We need to find the viscosity and density at this altitude and pressure. The viscosity depends on temperature only, but at 223.5
K = - 50oC, it is off scale of Fig. A.3. Instead we need to use formulas as in Appendix A

μ=

b ⋅T

2

1+

S

where

3

−6

b = 1.458 × 10

1

m⋅ s ⋅ K

3

S = 110.4 ⋅ K

2

− 5 N⋅s

− 5 kg

μ = 1.459 × 10

m⋅ s

⋅

2

m

− 5 kg

x trans = 1.459 × 10

kg
m

kg

⋅

T

μ = 1.459 × 10

Hence

ρ = 0.0297

m

1

For µ

kg

ρ = 0.02422× 1.225⋅

At this altitude the density is (Table A.3)

⋅

m⋅ s

× 500000×

3

m
1
1 hr
3600⋅ s
⋅
×
×
⋅
×
0.0297 kg
2700
3 m
1⋅ hr
10
1

x trans = 0.327m

Problem 2.89

Given:

Type of oil, flow rate, and tube geometry

Find:

Whether flow is laminar or turbulent

[Difficulty: 2]

Solution:
ν=

Data on SAE 30 oil SG or density is limited in the Appendix. We can Google it or use the following

At 100 oC, from Figs. A.2 and A.3

− 3 N⋅ s

μ = 9 × 10

⋅

ν = 1 × 10

2

− 3 N⋅ s

⋅

2

1 × 10

m
Hence

The specific weight is

SG =

1

×

ρ

−5

⋅

s
2

×

⋅

s

kg⋅ m

ρ = 900

2

s ⋅N

m

γ = ρ⋅ g

γ = 900 ⋅

kg
3

2

Q=

π⋅ D
4

⋅V

−6

Q = 100 ⋅ mL ×

Then

Hence

V =
Re =

4
π

V=

so
10

m
2

2

N⋅ s

×

3 N

γ = 8.829 × 10 ⋅

kg⋅ m

s

4⋅ Q
2

⋅m

1 1
× ⋅
9 s

3
−5 m

⋅

s

×

Q = 1.111 × 10

2
⎛ 1 ⋅ 1 × 1000⋅ mm ⎞
⎜ 12 mm
1⋅ m ⎠
⎝

V = 0.0981

ρ⋅ V⋅ D
μ

Re = 900 ⋅

kg
3

m

Flow is laminar

3

m

π⋅ D
3

1 ⋅ mL

× 1.11 × 10

3

SG = 0.9

× 9.81⋅

m
For pipe flow (Section 2-6)

kg
m

kg
ρwater = 1000⋅
3
m

ρwater

ρ=

so

ρ

2
−5 m

m
ρ = 9 × 10

μ

× 0.0981⋅

m
s

× 0.012 ⋅ m ×

1
9 × 10

2

⋅

m

− 3 N⋅ s

2

×

N⋅ s

kg⋅ m

Re = 118

m
s

3
−5m

s

μ
ν

Problem 2.90

Given:

Data on seaplane

Find:

Transition point of boundary layer

[Difficulty: 2]

Solution:
For boundary layer transition, from Section 2-6

Retrans  500000

Then

Retrans 

At 45oF = 7.2 oC (Fig A.3)

ρ V x trans
μ

2
5 m

ν  0.8  10



s

V x trans



ν
10.8



 5 ft



ft

V

 5 ft

s

ν  8.64  10

m



2

s

s

2

 500000 

s

ν Retrans

2

2

1

x trans  8.64  10

x trans 

so

1
100  mph



60 mph
88

x trans  0.295  ft

ft
s

As the seaplane touches down:

At 45oF = 7.2 oC (Fig A.3)

2
5 m

ν  1.5  10



s

10.8


 4 ft



2
 4 ft

s

ν  1.62  10

2

1

x trans  1.62  10

ft

m

2

s

s

2

s



 500000 

1
100  mph



60 mph
88

ft
s

x trans  0.552  ft

Problem 2.91

[Difficulty: 3]

Given:
Data on airliner
Find:
Sketch of speed versus altitude (M = const)
Solution:
Data on temperature versus height can be obtained from Table A.3
At 5.5 km the temperature is approximately

252

c

The speed of sound is obtained from
where

k = 1.4
R = 286.9

J/kg·K

c = 318

m/s

V = 700

km/hr

V = 194

m/s

K

k  R T

(Table A.6)

We also have

or

Hence M = V/c or
M = 0.611
V = M · c = 0.611·c

To compute V for constant M , we use

V = 677
At a height of 8 km:
km/hr
NOTE: Realistically, the aiplane will fly to a maximum height of about 10 km!
T (K)

4

262

5

259

5

256

6

249

7

243

8

236

9

230

10

223

11

217

12

217

13

217

14

217

15

217

16

217

17

217

18

217

19

217

20

217

22

219

24

221

26

223

28

225

30

227

40

250

50

271

60

256

70

220

80

181

90

181

c (m/s) V (km/hr)
325
322
320
316
312
308
304
299
295
295
295
295
295
295
295
295
295
295
296
298
299
300
302
317
330
321
297
269
269

Speed vs. Altitude

713
709
750

704
695
686
677
668
658

700

649
649
649
649
649
649
649
649

Speed V (km/hr)

z (km)

650

649
649
651
654

600

657
660
663
697
725
705
653
592
592

550
0

20

40

60

Altitude z (km)

80

100

Problem 2.92

[Difficulty: 4]

Open-Ended Problem Statement: How does an airplane wing develop lift?
Discussion: The sketch shows the cross-section of a typical airplane wing. The airfoil section is
rounded at the front, curved across the top, reaches maximum thickness about a third of the way back, and
then tapers slowly to a fine trailing edge. The bottom of the airfoil section is relatively flat. (The discussion
below also applies to a symmetric airfoil at an angle of incidence that produces lift.)

NACA 2412 Wing Section
It is both a popular expectation and an experimental fact that air flows more rapidly over the curved top
surface of the airfoil section than along the relatively flat bottom. In the NCFMF video Flow Visualization,
timelines placed in front of the airfoil indicate that fluid flows more rapidly along the top of the section
than along the bottom.
In the absence of viscous effects (this is a valid assumption outside the boundary layers on the airfoil)
pressure falls when flow speed increases. Thus the pressures on the top surface of the airfoil where flow
speed is higher are lower than the pressures on the bottom surface where flow speed does not increase.
(Actual pressure profiles measured for a lifting section are shown in the NCFMF video Boundary Layer
Control.) The unbalanced pressures on the top and bottom surfaces of the airfoil section create a net force
that tends to develop lift on the profile.

Problem 3.1

[Difficulty: 2]

Given:

Data on nitrogen tank

Find:

Pressure of nitrogen; minimum required wall thickness

Assumption:

Ideal gas behavior

Solution:
Ideal gas equation of state:

p ⋅V = M⋅R⋅T

where, from Table A.6, for nitrogen

R = 55.16⋅

Then the pressure of nitrogen is

p =

ft⋅ lbf
lbm⋅ R

⎛ 6 ⎞
3⎟
⎝ π⋅ D ⎠

M⋅ R⋅ T

= M⋅ R⋅ T⋅ ⎜

V

p = 140⋅ lbm × 55.16⋅

p = 3520⋅

ft⋅ lbf
lbm⋅ R

⎡

⎤ × ⎛ ft ⎞
⎜
⎟
3⎥ ⎝ 12⋅ in ⎠
⎣ π × ( 2.5⋅ ft) ⎦

× ( 77 + 460) ⋅ R × ⎢

6

lbf
2

in

To determine wall thickness, consider a free body diagram for one hemisphere:
π⋅ D

ΣF = 0 = p ⋅

2

− σc ⋅ π ⋅ D ⋅ t

pπD2/4

p⋅ D

σcπDt

4

where σc is the circumferential stress in the container
Then

t=

p⋅ π⋅ D

2

4 ⋅ π ⋅ D ⋅ σc

t = 3520 ⋅

lbf
2

in
t = 0.0733⋅ ft

×

=

4 ⋅ σc

2.5 ⋅ ft
4

2

×

in

3

30 × 10 ⋅ lbf
t = 0.880⋅ in

2

Problem 3.2

[Difficulty: 2]

Given: Pure water on a standard day
Find:

Boiling temperature at (a) 1000 m and (b) 2000 m, and compare with sea level value.

Solution:
We can determine the atmospheric pressure at the given altitudes from table A.3, Appendix A

The data are

Elevation
(m)
0
1000
2000

p/p o

p (kPa)

1.000
0.887
0.785

101.3
89.9
79.5

We can also consult steam tables for the variation of saturation temperature with pressure:
p (kPa)
70
80
90
101.3

T sat (°C)
90.0
93.5
96.7
100.0

We can interpolate the data from the steam tables to correlate saturation temperature with altitude:
Elevation
(m)
0
1000
2000

p/p o

p (kPa) T sat (°C)

1.000
0.887
0.785

101.3
89.9
79.5

The data are plotted here. They
show that the saturation temperature
drops approximately 3.4°C/1000 m.

100.0
96.7
93.3

Saturation
Temperature (°C)

Variation of Saturation Temperature with
Pressure
Sea Level
100

1000 m

98
96

2000 m

94
92
90
88
70

75

80

85

90

95

Absolute Pressure (kPa)

100

105

Problem 3.3

[Difficulty: 2]

Given:

Data on flight of airplane

Find:

Pressure change in mm Hg for ears to "pop"; descent distance from 8000 m to cause ears to "pop."

Solution:
Assume the air density is approximately constant constant from 3000 m to 2900 m.
From table A.3
ρSL  1.225

kg

ρair  0.7423  ρSL

3

m

ρair  0.909

kg
3

m

We also have from the manometer equation, Eq. 3.7
∆p  ρair  g  ∆z
Combining

∆hHg 

ρair
ρHg

∆hHg 

 ∆z 

0.909
13.55  999

∆p  ρHg  g  ∆hHg

and also
ρair
SGHg  ρH2O

SGHg  13.55 from Table A.2

 ∆z

 100  m

∆hHg  6.72 mm

For the ear popping descending from 8000 m, again assume the air density is approximately constant constant, this time at 8000 m.
From table A.3

ρair  0.4292  ρSL

ρair  0.526

kg
3

m
We also have from the manometer equation
ρair8000  g  ∆z8000  ρair3000  g  ∆z3000
where the numerical subscripts refer to conditions at 3000m and 8000m.
Hence
∆z8000 

ρair3000  g
ρair8000  g

 ∆z3000 

ρair3000
ρair8000

 ∆z3000

∆z8000 

0.909
0.526

 100  m

∆z8000  173 m

Problem 3.4

[Difficulty: 3]

Given: Boiling points of water at different elevations
Find: Change in elevation
Solution:
From the steam tables, we have the following data for the boiling point (saturation temperature) of water
Tsat (oF)

p (psia)
10.39
8.39

195
185
The sea level pressure, from Table A.3, is
pSL =

14.696

psia

Hence

Altitude vs Atmospheric Pressure
o

p/pSL

195
185

0.707
0.571

From Table A.3
p/pSL
0.7372
0.6920
0.6492
0.6085
0.5700

15000
12500

Altitude (ft)

Tsat ( F)

Altitude (m)
2500
3000
3500
4000
4500

Altitude (ft)
8203
9843
11484
13124
14765

Data

10000

Linear Trendline

7500

z = -39217(p/pSL) + 37029
5000

R2 = 0.999

2500
0.55

0.60

0.65

0.70

p/pSL

Then, any one of a number of Excel functions can be used to interpolate
(Here we use Excel 's Trendline analysis)
p/pSL
0.707
0.571

Altitude (ft)
9303
14640

Current altitude is approximately

The change in altitude is then 5337 ft
Alternatively, we can interpolate for each altitude by using a linear regression between adjacent data points
p/pSL

p/pSL

For

0.7372
0.6920

Altitude (m)
2500
3000

Altitude (ft)
8203
9843

0.6085
0.5700

Altitude (m)
4000
4500

Altitude (ft)
13124
14765

Then

0.7070

2834

9299

0.5730

4461

14637

The change in altitude is then 5338 ft

9303 ft

0.75

Problem 3.5

Given:

Data on system

Find:

Force on bottom of cube; tension in tether

[Difficulty: 2]

Solution:
dp

Basic equation

dy

= − ρ⋅ g

or, for constant ρ

∆p = ρ⋅ g⋅ h

where h is measured downwards

The absolute pressure at the interface is

pinterface = patm + SGoil⋅ ρ⋅ g⋅ hoil

Then the pressure on the lower surface is

pL = pinterface + ρ⋅ g⋅ hL = patm + ρ⋅ g⋅ SGoil⋅ hoil + hL

For the cube

(

V = 125⋅ mL
1
3

V = 1.25 × 10

Then the size of the cube is

d = V

d = 0.05 m

Hence

hL = hU + d

hL = 0.35 m

The force on the lower surface is

F L = pL ⋅ A

where

(

−4

)

3

⋅m

and the depth in water to the upper surface is hU = 0.3⋅ m
where hL is the depth in water to the lower surface
A = d

2

2

A = 0.0025 m

)

FL = ⎡patm + ρ⋅ g⋅ SGoil⋅ hoil + hL ⎤ ⋅ A
⎣
⎦

⎡
kg
m
N⋅ s ⎥⎤
3 N
2
FL = ⎢101 × 10 ⋅
+ 1000⋅
× 9.81⋅ × ( 0.8 × 0.5⋅ m + 0.35⋅ m) ×
× 0.0025⋅ m
2
3
2
⎢
kg⋅ m⎥
m
m
s
⎣
⎦
2

FL = 270.894 N
For the tension in the tether, an FBD gives

Note: Extra decimals needed for computing T later!

ΣFy = 0

FL − FU − W − T = 0

(

)

where FU = ⎡patm + ρ⋅ g⋅ SGoil⋅ hoil + hU ⎤ ⋅ A
⎣
⎦

or

T = FL − FU − W

(

)

Note that we could instead compute

∆F = FL − FU = ρ⋅ g⋅ SGoil⋅ hL − hU ⋅ A

Using FU

⎡
kg
m
N⋅ s ⎥⎤
3 N
2
FU = ⎢101 × 10 ⋅
+ 1000⋅
× 9.81⋅ × ( 0.8 × 0.5⋅ m + 0.3⋅ m) ×
× 0.0025⋅ m
2
3
2
⎢
kg⋅ m⎥
m
m
s
⎣
⎦

T = ∆F − W
2

FU = 269.668 N
For the oak block (Table A.1)

and

Note: Extra decimals needed for computing T later!

SGoak = 0.77

W = 0.77 × 1000⋅

W = SGoak⋅ ρ⋅ g⋅ V

so

kg
3

m
T = FL − FU − W

× 9.81⋅

m
2

× 1.25 × 10

s

T = 0.282 N

−4

3

⋅m ×

2

N⋅ s

kg⋅ m

W = 0.944 N

Problem 3.6

Given:

Data on system before and after applied force

Find:

Applied force

[Difficulty: 2]

Solution:
Basic equation

dp
dy

For initial state

p1  patm  ρ g h

For the initial FBD

ΣFy  0

For final state

p2  patm  ρ g H

For the final FBD

ΣFy  0

F1  p1 A  ρ g h A

and

F2  p2 A  ρ g H A

F2  W  F  0

4

 

p y0  patm

with

(Gage; F1 is hydrostatic upwards force)

W  F 1  ρ  g h A

and

π D



p  patm  ρ g y  y0

F1  W  0

F  ρH2O SG g

From Fig. A.1



or, for constant ρ

  ρ g

(Gage; F2 is hydrostatic upwards force)

F  F2  W  ρ g H A  ρ g h  A  ρ g A ( H  h )

2

 ( H  h)

SG  13.54

F  1000

kg
3

m
F  45.6 N

 13.54  9.81

m
2

s



π
4

2

 ( 0.05 m)  ( 0.2  0.025)  m 

2

N s

kg m

Problem 3.7

[Difficulty: 1]

Given: Pressure and temperature data from balloon
Find: Plot density change as a function of elevation
Assumption: Ideal gas behavior
Solution:

Density Distribution
0.078

p (psia)
14.71
14.62
14.53
14.45
14.36
14.27
14.18
14.10
14.01
13.92
13.84

T (oF)
53.6
52.0
50.9
50.4
50.2
50.0
50.5
51.4
52.9
54.0
53.8

 (lbm/ft3)
0.07736
0.07715
0.07685
0.07647
0.07604
0.07560
0.07506
0.07447
0.07380
0.07319
0.07276

Density (lbm/ft3)

Using the ideal gas equation,  = p/RT

0.077
0.076
0.075
0.074
0.073
0.072
0

1

2

3

4

5

6

Elevation Point

7

8

9

10

Problem 3.8

[Difficulty: 2]

Given:

Properties of a cube floating at an interface

Find:

The pressures difference between the upper and lower surfaces; average cube density

Solution:
The pressure difference is obtained from two applications of Eq. 3.7
pU  p0  ρSAE10 g ( H  0.1 d)

pL  p0  ρSAE10 g H  ρH2O g 0.9 d

where pU and pL are the upper and lower pressures, p0 is the oil free surface pressure, H is the depth of the interface, and d
is the cube size
Hence the pressure difference is



∆p  pL  pU  ρH2O  g 0.9 d  ρSAE10  g  0.1 d
From Table A.2

∆p  ρH2O  g d  0.9  SGSAE10  0.1

SGSAE10  0.92
kg

∆p  999

3

m

 9.81

2

m

2

 0.1 m  ( 0.9  0.92  0.1) 

s

Ns
kg  m

∆p  972 Pa

For the cube density, set up a free body force balance for the cube
ΣF  0  ∆p  A  W
Hence

2

W  ∆p A  ∆p d
ρcube 

m
d

3

ρcube  972

2

W



3



d g
N
2

m



∆p  d



3

d g
1

0.1 m

∆p
d g

2



s

9.81 m



kg  m
2

Ns

ρcube  991

kg
3

m



Problem 3.9

Given:

Data on tire at 3500 m and at sea level

Find:

Absolute pressure at 3500 m; pressure at sea level

[Difficulty: 2]

Solution:
At an elevation of 3500 m, from Table A.3:
pSL  101 kPa

patm  0.6492  pSL

patm  65.6 kPa

and we have

pg  0.25 MPa

pg  250 kPa

p  pg  patm

At sea level

patm  101  kPa

p  316 kPa

Meanwhile, the tire has warmed up, from the ambient temperature at 3500 m, to 25oC.
At an elevation of 3500 m, from Table A.3

Tcold  265.4  K

and

Thot  ( 25  273)  K

Thot  298 K

Hence, assuming ideal gas behavior, pV = mRT, and that the tire is approximately a rigid container, the absolute pressure of the
hot tire is
phot 

Thot
Tcold

p

phot  354 kPa

Then the gage pressure is
pg  phot  patm

pg  253 kPa

Problem 3.10

Given:

Data on air bubble

Find:

Bubble diameter as it reaches surface

[Difficulty: 2]

Solution:
dp

Basic equation

dy

 ρsea g

and the ideal gas equation

M

p  ρ R  T 

V

 R T

We assume the temperature is constant, and the density of sea water is constant

For constant sea water density

p  patm  SGsea ρ g h

Then the pressure at the initial depth is

p1  patm  SGsea ρ g h1

The pressure as it reaches the surface is

p2  patm

M R T
V

For the bubble

p

Hence

p1 V 1  p2 V 2

Then the size of the bubble at the surface is

From Table A.2

but M and T are constant

 p1 
D 2  D 1  
 p2 

SGsea  1.025

1
3

M R T  const  p V

P1
V2  V1
p2

or

or
1
3

3
3 p1
D2  D1 
p2

 patm  ρsea g h1
 ρsea g h1 
  D1  1 

patm
patm





1
3

 D 1 

(This is at 68oF)



slug




ft

D2  0.3 in  1  1.025  1.94

D2  0.477 in

where p is the pressure at any depth h

3

 32.2 

ft
2

s

2
2
 1 ft   lbf s 

14.7 lbf  12 in 
slugft
 

2

 100 ft 

in



1
3

Problem 3.11

[Difficulty: 2]

Given:

Properties of a cube suspended by a wire in a fluid

Find:

The fluid specific gravity; the gage pressures on the upper and lower surfaces

Solution:
From a free body analysis of the cube:

(

)

2

ΣF = 0 = T + pL − pU ⋅ d − M⋅ g

where M and d are the cube mass and size and pL and pU are the pressures on the lower and upper surfaces
For each pressure we can use Eq. 3.7

p = p 0 + ρ ⋅ g⋅ h

Hence

pL − pU = ⎡p0 + ρ⋅ g⋅ ( H + d)⎤ − p0 + ρ⋅ g⋅ H = ρ⋅ g⋅ d = SG⋅ ρH2O⋅ d
⎣
⎦

(

)

where H is the depth of the upper surface

2 ⋅ slug× 32.2⋅
M⋅ g − T

SG =

Hence the force balance gives

ρH2O ⋅ g ⋅ d

2

×

s

SG =

3

2

ft

1.94 ⋅

slug
ft

3

× 32.2⋅

lbf ⋅ s

− 50.7 ⋅ lbf

slug⋅ ft

SG = 1.75

2

ft
2

×

s

lbf⋅ s

slug⋅ ft

× ( 0.5 ⋅ ft)

3

From Table A.1, the fluid is Meriam blue.
The individual pressures are computed from Eq 3.7
p = p 0 + ρ ⋅ g⋅ h

pg = 1.754 × 1.94⋅

For the upper surface

pg = ρ⋅ g⋅ h = SG⋅ ρH2O⋅ h

or

slug
ft

pg = 1.754 × 1.94⋅

For the lower surface

3

slug
ft

3

× 32.2⋅

ft
2

s
× 32.2⋅

ft
2

s

×

2
3

2

⋅ ft ×

⎛ 1⋅ ft ⎞
⎟
slug⋅ ft ⎝ 12⋅ in ⎠
lbf ⋅ s

2

×⎜

2

⎛ 2 + 1 ⎞ ⋅ ft × lbf ⋅ s × ⎛ 1⋅ ft ⎞
⎟
⎜
⎟
slug⋅ ft ⎝ 12⋅ in ⎠
⎝ 3 2⎠

×⎜

pg = 0.507⋅ psi
2

pg = 0.888⋅ psi

Note that the SG calculation can also be performed using a buoyancy approach (discussed later in the chapter):
Consider a free body diagram of the cube:

ΣF = 0 = T + FB − M ⋅ g

where M is the cube mass and FB is the buoyancy force

FB = SG ⋅ ρH2O ⋅ L ⋅ g

Hence

3

T + SG ⋅ ρH2O ⋅ L ⋅ g − M ⋅ g = 0

3

or

SG =

M⋅ g − T
ρH2O ⋅ g ⋅ L

3

as before

SG = 1.75

Problem 3.12

[Difficulty: 4]

Given:

Model behavior of seawater by assuming constant bulk modulus

Find:

(a) Expression for density as a function of depth h.
(b) Show that result may be written as
ρ = ρo + bh
(c) Evaluate the constant b
(d) Use results of (b) to obtain equation for p(h)
(e) Determine depth at which error in predicted pressure is 0.01%

Solution:

5

SGo = 1.025

From Table A.2, App. A:

dp

Governing Equations:

Ev = 2.42⋅ GPa = 3.51 × 10 ⋅ psi

= ρ⋅ g

dh

Ev =

(Hydrostatic Pressure - h is positive downwards)

dp

(Definition of Bulk Modulus)

dρ
ρ
ρ

Then

dρ

dp = ρ⋅ g⋅ dh = Ev⋅
ρ

or

dρ
ρ

2

=

g
Ev

dh

h

⌠
⌠ g
1
⎮
dρ = ⎮
dh
⎮
2
⎮ Ev
⎮ ρ
⌡0
⌡ρ

Now if we integrate:

o

After integrating:

Now for

ρ o⋅ g⋅ h
Ev

ρ − ρo
ρ⋅ ρo

=

g⋅ h
Ev

Therefore: ρ =

E v⋅ ρ o
E v − g⋅ h ⋅ ρ o

ρ

and

ρo

1

=
1−

<<1, the binomial expansion may be used to approximate the density:

ρ o⋅ g⋅ h
Ev
ρ
ρo

2

In other words, ρ = ρo + b⋅ h where b =

Since

ρo ⋅ g

= 1+

ρ o⋅ g⋅ h
Ev

(Binomial expansion may
be found in a host of
sources, e.g. CRC
Handbook of
Mathematics)

Ev

dp = ρ⋅ g⋅ dh then an approximate expression for the pressure as a function of depth is:
h

⌠
papprox − patm = ⎮
⌡0

( ρo + b ⋅ h )⋅ g dh → papprox − patm =

(

g⋅ h ⋅ 2⋅ ρo + b ⋅ h
2

)

Solving for papprox we get:

papprox = patm +

(

g⋅ h ⋅ 2⋅ ρ o + b⋅ h
2

)

= patm + ρo⋅ g⋅ h +

b⋅ g ⋅ h
2

2

⎛

2
b⋅ h ⎞

⎝

2 ⎠

= patm + ⎜ ρo⋅ h +

⎟⋅g

Now if we subsitiute in the expression for b and simplify, we get:
2
⎛
ρo ⋅ g h2 ⎞⎟
⎛ ρ o⋅ g⋅ h ⎞
⎜
⋅ g = patm + ρo⋅ g⋅ h⋅ ⎜ 1 +
papprox = patm + ρo⋅ h +
⋅
⎟
⎜
Ev 2 ⎟
2⋅ E v
⎝
⎠
⎝
⎠

⎛ ρ o⋅ g⋅ h ⎞
papprox = patm + ρo⋅ g⋅ h⋅ ⎜ 1 +
⎟
2Ev
⎝
⎠

The exact soution for p(h) is obtained by utilizing the exact solution for ρ(h). Thus:
ρ

⌠ E
v
⎛ρ⎞
pexact − patm = ⎮
dρ = Ev⋅ ln ⎜ ⎟
⎮
ρ
⎝ ρo ⎠
⌡ρ

Subsitiuting for

ρ
ρo

we get:

o

If we let x =

ρ o⋅ g⋅ h
Ev

For the error to be 0.01%:

∆pexact − ∆papprox
∆pexact

= 1−

This equation requires an iterative solution, e.g. Excel's Goal Seek. The result is:

h=

x⋅ E v
ρ o⋅ g

⎛ ρ o⋅ g⋅ h ⎞
pexact = patm + Ev⋅ ln ⎜ 1 −
⎟
Ev
⎝
⎠
⎛ x⎞
ρo⋅ g⋅ h⋅ ⎜ 1 + ⎟
⎝ 2⎠
Ev⋅ ln ⎡⎣( 1 − x)

− 1⎤

= 1−

⎦

ln ⎡⎣( 1 − x)

− 1⎤

= 0.0001

⎦

x = 0.01728 Solving x for h:

3
2
2
ft
s
5 lbf
⎛ 12⋅ in ⎞ × slug⋅ ft
×
×
×⎜
⎟
2 1.025 × 1.94⋅ slug 32.2⋅ ft ⎝ ft ⎠
2

h = 0.01728 × 3.51 × 10 ⋅

in

⎛ x⎞
x⋅ ⎜ 1 + ⎟
⎝ 2⎠

−1

4

h = 1.364 × 10 ⋅ ft

lbf ⋅ s

This depth is over 2.5 miles, so the
incompressible fluid approximation is a
reasonable one at all but the lowest depths
of the ocean.

Problem 3.13

[Difficulty: 3]

Given:

Model behavior of seawater by assuming constant bulk modulus

Find:

The percent deviations in (a) density and (b) pressure at depth h = 6.5
mi, as compared to values assuming constant density.
Plot results over the range of 0 mi - 7 mi.

Solution:

5

SGo  1.025

From Table A.2, App. A:

dp

Governing Equations:

dh

Ev  2.42 GPa  3.51  10  psi

 ρ g

(Hydrostatic Pressure - h is positive downwards)

dp

Ev 

(Definition of Bulk Modulus)

dρ
ρ
ρ

dρ

dp  ρ g dh  Ev
ρ

Then

dρ

or

ρ

2



g
Ev

h  6.5 mi

Now if we integrate:

dh

h


 g
1

dρ  
dh

2
 Ev
 ρ
0
ρ
o

ρ  ρo

After integrating:

ρ ρo



g h

Therefore: ρ 

Ev



∆ρ
ρo



ρ  ρo
ρo

1  1 


ρ
ρo

1

1 
1

ρ o g h

1 



1

Ev

E v ρ o

and

Ev  ρo g h

ρ o g h 


Ev
 

ρ o g h

To determine an expression for the percent deviation in pressure, we find
ρ

For variable density and constant bulk modulus:

For constant density:

1

ρo g h
Ev


pconstρ  patm   ρo g dh  ρo g h
0

ρ o g h
Ev

∆ρ
ρo

ρo g h
Ev



1

p  patm for variable ρ, and then for constant ρ.

 E
v
ρ
p  patm  
dρ  Ev ln  

ρ
 ρo 
ρ
o

h

ρo

1



ρo g h
Ev

1

Ev

ρ

ρ o g h
Ev

∆p
pconstρ



p  pconstρ

If we let x 

pconstρ

Ev

 ρ   ρ  g h
 o
 ρo 


Ev ln 


ρ o g h

x  3.51  10

ρ o g

Ev
ρ o g h

 1

 ρo g h  

 ln  1 
 1
pconstρ
ρ o g h 
Ev

 

∆p

 ρ 1

 ρo 

 ln 

Ev

2
3
2
1
1 ft
1 s
5 lbf
 12 in   slug ft  mi





2 5280 ft
2 1.025 1.94 slug 32.2 ft  ft 

x  149.5 mi

lbf  s

in

Substituting into the expressions for the deviations we get:

∆ρ

h
x

h
h
devρ 



ρo
h
xh
149.5 mi  h
1
x
∆p
x 
devp 
  ln  1 
pconstρ
h 

h

 1

 1 
x 

149.5 mi
h




 ln  1 

1
   1

149.5 mi  

h

devρ  4.55 %

For h = 6.5 mi we get:

The plot below shows the deviations in density and pressure as a function of depth from 0 mi to 7 mi:
Errors in Density and Pressure Assuming Constant Density
8

Errors in Density and Pressure (%)

Density
Pressure

6

4

2

0

2

4
Depth (mi)

6

devp  2.24 %

Problem 3.14

Given:

[Difficulty: 3]

Cylindrical cup lowered slowly beneath pool surface

Air

Find:

H

Expression for y in terms of h and H.
Plot y/H vs. h/H.

D

y

Air

H–y

Solution:

y

Governing Equations:

dp
dh

 ρ g

(Hydrostatic Pressure - h is positive downwards)

p V  M R T

Assumptions:

(Ideal Gas Equation)

(1) Constant temperature compression of air inside cup
(2) Static liquid
(3) Incompressible liquid

First we apply the ideal gas equation (at constant temperature) for the pressure of the air in the cup:
Therefore:

π 2
π 2
p V  pa  D  H  p  D  ( H  y)
4
4

and upon simplification:

p V  constant

pa H  p ( H  y)

Now we look at the hydrostatic pressure equation for the pressure exerted by the water. Since ρ is constant, we integrate:
p  pa  ρ g ( h  y) at the water-air interface in the cup.
Since the cup is submerged to a depth of h, these pressures must be equal:
pa H  pa  ρ g ( h  y)  ( H  y)  pa H  pa y  ρ g ( h  y)  ( H  y)


Explanding out the right hand side of this expression:
2

0  pa y  ρ g ( h  y)  ( H  y)  ρ g h H  ρ g h y  ρ g H y  ρ g y  pa y

2

2

 pa

y 

ρ g y  pa  ρ g ( h  H)  y  ρ g h H  0



 ρ g



 ( h  H)  y  h H  0



2

We now use the quadratic equation:

 pa

 pa


 ( h  H)  
 ( h  H)  4 h H
 ρ g

 ρ g

y
2

we only use the minus sign because y
can never be larger than H.

Now if we divide both sides by H, we get an expression for y/H:

2

 pa

 pa

h
h
h


 1  

 1  4
y
H
 ρ  g H H 
 ρ  g H H 


H

2

The exact shape of this curve will depend upon the height of the cup. The plot below was generated assuming:
pa  101.3 kPa
H  1 m

Height Ratio, y/H

0.8

0.6

0.4

0.2

0

20

40

60
Depth Ratio, h/H

80

100

Problem 3.15

Given:

Geometry of straw

Find:

Pressure just below the thumb

Assumptions:

[Difficulty: 1]

(1) Coke is incompressible
(2) Pressure variation within the air column is negligible
(3) Coke has density of water

Solution:
Basic equation

dp
dy

  ρ g

or, for constant ρ

∆p  ρ g h

where h is measured downwards

This equation only applies in the 15 cm of coke in the straw - in the other 30 cm of air the pressure is essentially constant.

The gage pressure at the coke surface is

Hence, with

hcoke  15 cm

pcoke  ρ g hcoke
because h is measured downwards

pcoke  1000

kg
3

m

pcoke  1.471 kPa
pcoke  99.9 kPa

 9.81

m
2

s

gage

2

 15 cm 

2

m
N s
kPa m


100 cm kg m 1000 N

Problem 3.16

[Difficulty: 2]

Given:

Data on water tank and inspection cover

Find:

If the support bracket is strong enough; at what water depth would it fail

pbaseA

Assumptions:

Water is incompressible and static

Cover

Solution:
Basic equation

patmA
dp
dy

  ρ g

or, for constant ρ

∆p  ρ g h

where h is measured downwards

The absolute pressure at the base is

pbase  patm  ρ g h

h  16 ft

The gage pressure at the base is

pbase  ρ g h

This is the pressure to use as we have patm on the outside of the cover.

The force on the inspection cover is

F  pbase A

where

where

2

A  1 in  1 in

A  1 in

F  ρ  g h A

F  1.94

slug
ft

3

 32.2

ft
2

2

2

2

 ft   lbf  s

 12 in  slug ft

 16 ft  1 in  

s

F  6.94 lbf

The bracket is strong enough (it can take 9 lbf).

To find the maximum depth we start with F  9.00 lbf

h

F
ρ  g A

h  9 lbf 

h  20.7 ft

1



ft

3

1.94 slug



1

2



s

32.2 ft



1
2

in

2

 12 in   slug ft

 ft  lbf  s2



Problem 3.17

Given:

[Difficulty: 4]

Container of mercury with vertical tubes of known diameter, brass
cylinder of known dimensions introduced into larger tube, where it floats.
d1  39.5 mm

d2  12.7 mm D  37.5 mm

H  76.2 mm

SGHg  13.55 SGb  8.55

Find:

(a) Pressureon the bottom of the cylinder
(b) New equlibrium level, h, of the mercury

Solution:

We will analyze a free body diagram of the cylinder, and apply the hydrostatics equation.
ΣFz  0

Governing equations:

dp
dz

(Vertical Equilibrium)

  ρ g

(Hydrostatic Pressure - z is positive upwards)

ρ  SG ρwater

Assumptions:

(Definition of Specific Gravity)

(1) Static liquid
(2) Incompressible liquid

If we take a free body diagram of the cylinder:
ΣFz  p

π
4

π 2
2
 D  ρ b g   D  H  0
4

p  8.55  1000

kg
3

m

 9.81

m
2

thus: p  ρb g H  SGb ρwater g H
m

 76.2 mm 

p  6.39 kPa (gage)

3

10  mm

s

pA

This pressure must be generated by a column of mercury h+x in height. Thus:
p  ρHg g ( h  x)  SGHg ρwater g ( h  x)  SGb ρwater g H

Thus:

hx 

SGb
SGHg

H

The value of x can be found by realizing that the volume of mercury in the system remains constant. Therefore:
π
π 2
2
2
 D  x    d1  D   h   d2  h


4
4
4

π

2

These expressions now allow us to solve for h:

h 

8.55
13.55



( 37.5 mm)
2

z

mg

2
2
 d2  
 d1 
x     1      h
 D 
D 

Now if we solve for x:

h

SGb



D

2

2
2
SGHg
d1  d2

H

Substituting in values:

2

( 39.5 mm)  ( 12.7 mm)

2

 76.2 mm

h  39.3 mm

Problem 3.18

[Difficulty: 2]

Given:

Data on partitioned tank

Find:

Gage pressure of trapped air; pressure to make water and mercury levels equal

Solution:
The pressure difference is obtained from repeated application of Eq. 3.7, or in other words, from Eq. 3.8. Starting
from the right air chamber
pgage  SGHg  ρH2O  g  ( 3  m  2.9  m)  ρH2O  g  1  m





pgage  ρH2O  g  SGHg  0.1  m  1.0  m

2

kg
m
Ns
pgage  999
 9.81  ( 13.55  0.1  m  1.0  m) 
3
2
kg  m
m
s

pgage  3.48 kPa

If the left air pressure is now increased until the water and mercury levels are now equal, Eq. 3.8 leads to
pgage  SGHg  ρH2O  g  1.0  m  ρH2O  g  1.0  m





pgage  ρH2O  g  SGHg  1  m  1.0  m

2

kg
m
Ns
pgage  999
 9.81  ( 13.55  1  m  1.0  m) 
3
2
kg  m
m
s

pgage  123 kPa

Problem 3.19

[Difficulty: 2]

Given:

Data on partitioned tank

Find:

Pressure of trapped air required to bring water and mercury levels equal if right air opening is sealed

Solution:
First we need to determine how far each free surface moves.
In the tank of Problem 3.18, the ratio of cross section areas of the partitions is 0.75/3.75 or 1:5. Suppose the water surface (and
therefore the mercury on the left) must move down distance x to bring the water and mercury levels equal. Then by mercury volume
conservation, the mercury free surface (on the right) moves up (0.75/3.75)x = x/5. These two changes in level must cancel the original
discrepancy in free surface levels, of (1m + 2.9m) - 3 m = 0.9 m. Hence x + x/5 = 0.9 m, or x = 0.75 m. The mercury level thus moves
up x/5 = 0.15 m.
Assuming the air (an ideal gas, pV=RT) in the right behaves isothermally, the new pressure there will be

pright 

Aright  Lrightold
Lrightold
 patm 
 patm 
p
Vrightnew
Aright  Lrightnew
Lrightnew atm
Vrightold

where V, A and L represent volume, cross-section area, and vertical length
Hence
pright 

3
3  0.15

 101  kPa

pright  106 kPa

When the water and mercury levels are equal application of Eq. 3.8 gives:
pleft  pright  SGHg  ρH2O  g  1.0  m  ρH2O  g  1.0  m



pleft  pright  ρH2O  g  SGHg  1.0  m  1.0  m
pleft  106  kPa  999

kg
m

pgage  pleft  patm

3

 9.81

m
2


2

 ( 13.55 1.0  m  1.0  m ) 

s

pgage  229  kPa  101  kPa

N s

kg  m

pleft  229 kPa
pgage  128 kPa

Problem 3.20

Given:

[Difficulty: 2]

Two-fluid manometer as shown
l  10.2 mm SGct  1.595 (From Table A.1, App. A)

Find:

Pressure difference

Solution:

We will apply the hydrostatics equation.

Governing equations:

dp
dh

 ρ g

(Hydrostatic Pressure - h is positive downwards)

ρ  SG ρwater

Assumptions:

(Definition of Specific Gravity)

(1) Static liquid
(2) Incompressible liquid

z
Starting at point 1 and progressing to point 2 we have:

d

p1  ρwater g ( d  l)  ρct g l  ρwater g d  p2
Simplifying and solving for p2  p1 we have:





∆p  p2  p1  ρct g l  ρwater g l  SGct  1  ρwater g l
Substituting the known data:
∆p  ( 1.591  1)  1000

kg
3

m

 9.81

m
2

s

 10.2 mm 

m
3

10  mm

∆p  59.1 Pa

Problem 3.21

Given:

[Difficulty: 2]

U-tube manometer, partiall filled with water, then a given volume of
Meriam red oil is added to the left side
3

D  6.35 mm

Voil  3.25 cm

SGoil  0.827

(From Table A.1, App. A)

Find:

Equilibrium height, H, when both legs are open to atmosphere.

Solution:

We will apply the basic pressure-height relation.

Governing Equations:

dp
dh

 ρ g

(Hydrostatic Pressure - h is positive downwards)

ρ  SG ρwater

Assumptions:

(Definition of Specific Gravity)

(1) Static liquid
(2) Incompressible liquid

Integration of the pressure equation gives:
Thus: pB  pA  ρoil g L and



p2  p1  ρ  g h2  h1



A

pD  pC  ρwater g ( L  H)

B
Since

pA  pC  patm and pB  pD since they are at the same height:

ρoil g L  ρwater g ( L  H) or
Solving for H:



H  L 1  SGoil

SGoil L  L  H



The value of L comes from the volume of the oil:

Solving for L:

L

4 Voil
π D

We can now calculate H:

2

Voil 
3

L 

4  3.25 cm

π  ( 6.35 mm)

2

H  102.62 mm ( 1  0.827)

π
4

2

D L

 10 mm 

 cm 



3

L  102.62 mm

H  17.75 mm

C
L

L–H
D

Problem 3.22

Given:

[Difficulty: 2]

Two fluid manometer contains water and kerosene. With both tubes
open to atmosphere, the difference in free surface elevations is known
Ho = 20⋅ mm SGk = 0.82 (From Table A.1, App. A)

Find:

The elevation difference, H, between the free surfaces of the fluids
when a gage pressure of 98.0 Pa is applied to the right tube.

Solution:

We will apply the hydrostatics equation.

Governing Equations:

dp
dh

= ρ⋅ g

(Hydrostatic Pressure - h is positive downwards)

ρ = SG⋅ ρwater

Assumptions:

(Definition of Specific Gravity)

(1) Static liquid
(2) Incompressible liquid

When the gage pressure Δp is applied to the right tube, the water in the
right tube is displaced downward by a distance, l. The kerosene in the
left tube is displaced upward by the same distance, l.

Δp
l

Under the applied gage pressure Δp, the elevation difference, H, is:

H0
H = H o + 2⋅ l

l
H1

Since points A and B are at the same elevation in the same fluid, their
pressures are the same. Initially:

(

pA = ρ k⋅ g⋅ H o + H 1

)

A

pB = ρwater⋅ g⋅ H1

B

Setting these pressures equal:

(

)

ρk⋅ g⋅ Ho + H1 = ρwater⋅ g⋅ H1
Solving for H1
H1 =

ρ k⋅ H o
ρwater − ρk

=

SGk⋅ Ho
1 − SGk

H1 =

0.82 × 20⋅ mm
1 − 0.82

Now under the applied gage pressure:

(

)

pA = ρk⋅ g⋅ Ho + H1 + ρwater⋅ g⋅ l

H

h

(

)

pB = ∆p + ρwater⋅ g⋅ H1 − l

H1 = 91.11⋅ mm

A

B

Setting these pressures equal:

(

)

(

)

∆p
SGk⋅ Ho + H1 + l =
+ H1 − l
ρwater⋅ g

l=

∆p
⎤
+ H1 − SGk⋅ (Ho + H1)⎥
⎢
2 ρwater⋅ g
⎣
⎦
1⎡

Substituting in known values we get:

l =

1
2

⎡

N

⎢
⎣

m

× ⎢98.0⋅

2

3

×

1 m

999 kg

×

1

2

⋅

s

9.81 m

×

kg⋅ m
2

N⋅ s

+ [ 91.11⋅ mm − 0.82 × ( 20⋅ mm + 91.11⋅ mm) ] ×

⎤
⎥
3
⎥
10 ⋅ mm⎦
m

l = 5.000⋅ mm

Now we solve for H:
H = 20⋅ mm + 2 × 5.000⋅ mm

H = 30.0⋅ mm

Problem 3.23

Given:

Data on manometer

Find:

Deflection due to pressure difference

[Difficulty: 2]

Solution:
Basic equation

dp
dy

= − ρ⋅ g

or, for constant ρ

∆p = ρ⋅ g⋅ ∆h

where h is measured downwards

Starting at p1

pA = p1 + SGA⋅ ρ⋅ g⋅ ( h + l )

Next, from A to B

pB = pA − SGB⋅ ρ⋅ g⋅ h

Finally, from A to the location of p2

p2 = pB − SGA⋅ ρ⋅ g⋅ l

Combining the three equations

p2 = pA − SGB⋅ ρ⋅ g⋅ h − SGA⋅ ρ⋅ g⋅ l = ⎡p1 + SGA⋅ ρ⋅ g⋅ ( h + l) − SGB⋅ ρ⋅ g⋅ h⎤ − SGA⋅ ρ⋅ g⋅ l
⎣
⎦

(

where l is the (unknown) distance from the level of the right
interface

)

(

)

p2 − p1 = SGA − SGB ⋅ ρ⋅ g⋅ h

h=

p1 − p2

(SGB − SGA)⋅ ρ⋅ g

h = 18⋅

lbf
ft

2

h = 0.139⋅ ft

×

1
( 2.95 − 0.88)

×

1

⋅

ft

3

1.94 slug

h = 1.67⋅ in

×

1

2

⋅

s

32.2 ft

×

slug⋅ ft
2

s ⋅ lbf

Problem 3.24

Given:

Data on manometer

Find:

Gage pressure at point a

Assumption:

[Difficulty: 2]

e

c

Water, liquids A and B are static and incompressible

d

Solution:
Basic equation

dp
dy

or, for constant ρ

  ρ g

∆p  ρ g ∆h
where ∆h is height difference

Starting at point a

p1  pa  ρH2O g h1

where

h1  0.125 m  0.25 m

Next, in liquid A

p2  p1  SGA ρH2O g h2

where

h2  0.25 m

Finally, in liquid B

patm  p2  SGB ρH2O g h3

where

h3  0.9 m  0.4 m

h1  0.375 m

h3  0.5 m

Combining the three equations





patm  p1  SGA ρH2O g h2  SGB ρH2O g h3  pa  ρH2O g h1  SGA ρH2O g h2  SGB ρH2O g h3



pa  patm  ρH2O g h1  SGA h2  SGB h3
or in gage pressures



pa  ρH2O g h1  SGA h2  SGB h3

pa  1000

kg
3

 9.81

m

3

pa  4.41  10 Pa

m
2




2

 [ 0.375  ( 1.20  0.25)  ( 0.75  0.5) ]  m 

s

pa  4.41 kPa

(gage)

N s
kg m

Problem 3.25

[Difficulty: 2]

SGoil  0.827 from Table A.1

Given:

Two fluid manometer, Meriam red oil is the second fluid

Find:

The amplification factor which will be seen in this demonstrator

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

 ρ g

(Hydrostatic Pressure - h is positive downwards)

ρ  SG ρwater

Assumptions:

(Definition of Specific Gravity)

(1) Static liquid
(2) Incompressible liquid

h

Integrating the hydrostatic pressure equation we get:
p  p o  ρ  g h
For the left leg of the manometer:

b

hA

hB

pa  patm  ρwater g hA





pb  pa  ρwater g l  patm  ρwater g hA  l

l

a

pa  patm  ρwater g hB

For the right leg:





pb  pa  ρoil g l  patm  ρwater g hB  SGoil l
Combining the right hand sides of these two equations:

Upon simplification:

hA  l  hB  SGoil l

AF 

l
∆h



1
1  SGoil









patm  ρwater g hA  l  patm  ρwater g hB  SGoil l



∆h  hA  hB  l 1  SGoil

For Meriam red

AF 



1
1  0.827

so the amplification factor would be:

 5.78

AF  5.78

Problem 3.26

[Difficulty: 2]

Given:

Water flow in an inclined pipe as shown. The pressure difference is
measured with a two-fluid manometer
L  5 ft
h  6 in SGHg  13.55 (From Table A.1, App. A)

Find:

Pressure difference between A and B

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

 ρ g

(Hydrostatic Pressure - h is positive downwards)

ρ  SG ρwater

Assumptions:

(Definition of Specific Gravity)

(1) Static liquid
(2) Incompressible liquid
(3) Gravity is constant

Integrating the hydrostatic pressure equation we get:
∆p  ρ g ∆h
Progressing through the manometer from A to B:
pA  ρwater g L sin( 30 deg)  ρwater g a  ρwater g h  ρHg g h  ρwater g a  pB
Simplifying terms and solving for the pressure difference:





∆p  pA  pB  ρwater g h  SGHg  1  L sin( 30 deg)


Substituting in values:

∆p  1.94

slug
ft

3

 32.2

ft
2

s




 6 in 

ft
12 in




 ( 13.55  1)  5 ft  sin( 30 deg) 

2

 ft 

slugft

 12 in 
lbf s



2

∆p  1.638 psi

Problem 3.27

Given:

Data on fluid levels in a tank

Find:

Air pressure; new equilibrium level if opening appears

[Difficulty: 2]

Solution:
Using Eq. 3.8, starting from the open side and working in gage pressure
pair = ρH2O × g × ⎡SGHg × ( 0.3 − 0.1) ⋅ m − 0.1 ⋅ m − SGBenzene× 0.1 ⋅ m⎤
⎣
⎦

Using data from Table A.2

pair = 999⋅

kg
m

3

× 9.81⋅

m
2

2

× ( 13.55 × 0.2 ⋅ m − 0.1 ⋅ m − 0.879 × 0.1 ⋅ m ) ×

s

N ⋅s

kg ⋅ m

pair = 24.7⋅ kPa

To compute the new level of mercury in the manometer, assume the change in level from 0.3 m is an increase of x. Then, because the
volume of mercury is constant, the tank mercury level will fall by distance (0.025/0.25)2x. Hence, the gage pressure at the bottom of the tan
can be computed from the left and the right, providing a formula for x

⎡
⎛ 0.025 ⎞ ⎤⎥ ⋅ m ...
SGHg × ρH2O × g × ( 0.3⋅ m + x) = SGHg × ρH2O × g × ⎢0.1⋅ m − x⋅ ⎜
⎟
⎣
⎝ 0.25 ⎠ ⎦
+ ρH2O × g × 0.1 ⋅ m + SGBenzene × ρH2O × g × 0.1 ⋅ m
2

Hence

The new manometer height is

x =

[ 0.1⋅ m + 0.879 × 0.1⋅ m + 13.55 × ( 0.1 − 0.3) ⋅ m]
2
⎡
0.025 ⎞ ⎤
⎢1 + ⎛⎜
⎟ ⎥ × 13.55
⎣ ⎝ 0.25 ⎠ ⎦

h = 0.3⋅ m + x

x = −0.184 m
(The negative sign indicates the
manometer level actually fell)

h = 0.116 m

Problem 3.28

Given:

[Difficulty: 2]

Reservoir manometer with vertical tubes of knowm diameter. Gage liquid is Meriam red oil
D = 18⋅ mm d = 6⋅ mm

SGoil = 0.827 (From Table A.1, App. A)

Find:

The manometer deflection, L when a gage pressure equal to 25 mm of
water is applied to the reservoir.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

= ρ⋅ g

(Hydrostatic Pressure - h is positive downwards)

ρ = SG⋅ ρwater

Assumptions:

(Definition of Specific Gravity)

(1) Static liquid
(2) Incompressible liquid

Integrating the hydrostatic pressure equation we get:
∆p = ρ⋅ g⋅ ∆h
Beginning at the free surface of the reservoir, and accounting for the changes in pressure with elevation:
patm + ∆p + ρoil⋅ g⋅ ( x + L) = patm
∆p

x+L =

Upon simplification:

The gage pressure is defined as:

ρoil⋅ g

Combining these two expressions:

x+L =

ρwater⋅ g⋅ h
ρoil⋅ g

x and L are related through the manometer dimensions:

L=

Therefore:

∆h
2⎤

⎡
d
SGoil⋅ ⎢1 + ⎛⎜ ⎞⎟ ⎥
D
⎣

(Note:

s =

L
∆h

which yields

=

π
4

∆h
SGoil
2

⋅D ⋅x =

π 2
⋅d ⋅L
4

2

⎛d⎞ L
⎟
⎝D⎠

x=⎜

Substituting values into the expression:

L =

25⋅ mm

⎡

6⋅ mm ⎞ ⎤
⎟⎥
⎝ 18⋅ mm ⎠ ⎦

0.827⋅ ⎢1 + ⎛⎜

⎝ ⎠⎦

s = 1.088

∆p = ρwater⋅ g⋅ ∆h where ∆h = 25⋅ mm

⎣

for this manometer.)

2

L = 27.2⋅ mm

Problem 3.29

[Difficulty: 2]

Given:

A U-tube manometer is connected to the open tank filled with water as
shown (manometer fluid is Meriam blue)
D1  2.5 m D2  0.7 m d  0.2 m SGoil  1.75 (From Table A.1, App. A)

Find:

The manometer deflection, l

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

 ρ g

(Hydrostatic Pressure - h is positive downwards)

ρ  SG ρwater

Assumptions:

(Definition of Specific Gravity)

(1) Static liquid
(2) Incompressible liquid

Integrating the hydrostatic pressure equation we get:
∆p  ρ g ∆h
When the tank is filled with water, the oil in the left leg of the manometer is displaced
downward by l/2. The oil in the right leg is displaced upward by the same distance, l/2.

D1

Beginning at the free surface of the tank, and accounting for the changes in pressure with
elevation:

d 
D2

l

patm  ρwater g  D1  D2  d    ρoil g l  patm
2


Upon simplification:




ρwater g  D1  D2  d 

l
  ρoil g l
2

D1  D2  d 

l 

l

 SGoil l
2

2.5 m  0.7 m  0.2 m
1.75 

1
2

l 

D1  D2  d
1
SGoil 
2

l  1.600 m



Problem 3.30

Given:

[Difficulty: 2]

Reservoir manometer with dimensions shown. The manometer fluid
specific gravity is given.
D 

5
8

 in

d 

3
16

 in SGoil  0.827

Find:

The required distance between vertical marks on the scale
corresponding to Δp of 1 in water.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dz

  ρ g

(Hydrostatic Pressure - z is positive upwards)

ρ  SG ρwater

Assumptions:

(Definition of Specific Gravity)

(1) Static liquid
(2) Incompressible liquid

Integrating the hydrostatic pressure equation we get:
∆p  ρ g ∆z

h
Beginning at the free surface of the tank, and accounting for the changes in pressure with
elevation:
patm  ∆p  ρoil g ( x  h)  patm
Upon simplification:

∆p  ρoil g ( x  h)

Therefore:

ρwater g l  ρoil g ( x  h)

The applied pressure is defined as:

x and h are related through the manometer dimensions:

Solving for h:

h

l
2

 d
SGoil 1    
D


 

x

xh 

π
4

2

D x 

∆p  ρwater g l

where

l
SGoil

π 2
d h
4

Substituting values into the expression:

2

d h

D

x

h 

1 in



2
 0.1875 in  

 0.625 in  

0.827 1  



h  1.109 in

l  1 in

Problem 3.31

Given:

[Difficulty: 2]

A U-tube manometer is connected to the open tank filled with water as
shown (manometer fluid is mercury). The tank is sealed and pressurized.
D1  2.5 m D2  0.7 m d  0.2 m po  0.5 atm

Find:

The manometer deflection, l

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

 ρ g

(Hydrostatic Pressure - h is positive downwards)

ρ  SG ρwater

Assumptions:

SGHg  13.55 (From Table A.1, App. A)

(Definition of Specific Gravity)

(1) Static liquid
(2) Incompressible liquid

Integrating the hydrostatic pressure equation we get:
∆p  ρ g ∆h
When the tank is filled with water and pressurized, the mercury in the left leg of the
manometer is displaced downward by l/2. The mercury in the right leg is displaced
upward by the same distance, l/2.

D1

Beginning at the free surface of the tank, and accounting for the changes in pressure with
elevation:

d 
D2



l

patm  po  ρwater g  D1  D2  d    ρHg g l  patm
2

Upon simplification:


po  ρwater g  D1  D2  d 


po
l

  ρHg g l

2

l

ρwater g

 D1  D2  d

1
SGHg 
2

Substituting values into the expression:
5
3
2

 0.5 atm  1.013  10  N  1  m  1  s   2.5 m  0.7 m  0.2 m
2

1000 kg 9.8 m 
m  atm


l 

13.55 

1
2

l  0.549 m

Problem 3.32

[Difficulty: 3]

Given:

Inclined manometer as shown.
D  96 mm d  8 mm
Angle θ is such that the liquid deflection L is five times that of a regular
U-tube manometer.

Find:

Angle θ and manometer sensitivity.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equation:

dp
dz

Assumptions:

  ρ g

(Hydrostatic Pressure - z is positive upwards)

(1) Static liquid
(2) Incompressible liquid

Integrating the hydrostatic pressure equation we get:
∆p  ρ g ∆z
Applying this equation from point 1 to point 2:
p1  ρ g ( x  L sin ( θ) )  p2
Upon simplification:

x

p1  p2  ρ g ( x  L sin ( θ) )

Since the volume of the fluid must remain constant:

π
4

2

D x 

π 2
d L
4

2

 d  L

D

x

 d

Therefore: p1  p2  ρ g L    sin ( θ)
D
2

 



Now for a U-tube manometer:

p1  p2  ρ  g h

For equal applied pressures:

L 

Hence:

 d  2

  sin ( θ)  h
 D 


p1incl  p2incl
p1U  p2U

Since L/h = 5:

 d  2

  sin ( θ)
 D 


ρ g L 


sin ( θ) 

ρ  g h

h
L

2

 d   1   8 mm 



5  96 mm 
D

2



θ  11.13 deg

The sensitivity of the manometer:

s

L
∆he



L
SG h

s

5
SG

Problem 3.33

Given:

Data on inclined manometer

Find:

Angle θ for given data; find sensitivity

[Difficulty: 3]

Solution:
Basic equation

dp
dy

  ρ g

or, for constant ρ

where Δh is height difference

∆p  ρ g ∆h

Under applied pressure

∆p  SGMer ρ g ( L sin( θ)  x)

From Table A.1

SGMer  0.827

and Δp = 1 in. of water, or

∆p  ρ g h
∆p  1000

kg
3

 9.81

h  0.025 m

2

m
2

 0.025 m 

s

The volume of liquid must remain constant, so x Ares  L Atube

Solving for θ

h  25 mm

where

m

Combining Eqs 1 and 2

(1)

x  L

Atube
Ares

N s

∆p  245 Pa

kg m

d

 D

2

 L 

(2)

2

d 
∆p  SGMer ρ g L sin ( θ)  L   
D



sin ( θ) 

 

∆p
SGMer ρ g L

sin ( θ)  245

N
2



m

d

D

2



1
0.827



1

The sensitivity is the ratio of manometer deflection to a vertical water manometer
L
h



0.15 m
0.025 m

m

1000 kg

θ  11 deg

s

3



s6



1

2



s

9.81 m



1



1

0.15 m



kg m
2

s N

2

 8   0.186

 76 



Problem 3.34

Given:

[Difficulty: 4]

Barometer with water on top of the mercury column, Temperature is
known:
h2  6.5 in

h1  28.35 in

SGHg  13.55

T  70 °F

(From Table A.2, App. A)

pv  0.363 psi (From Table A.7, App. A)

Find:

(a) Barometric pressure in psia
(b) Effect of increase in ambient temperature on length of mercury
column for the same barometric pressure:
Tf  85 °F

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

  ρ g

(Hydrostatic Pressure - h is positive downwards)

ρ  SG ρwater

Assumptions:

(Definition of Specific Gravity)

(1) Static liquid
(2) Incompressible liquid

Water vapor
Water

Integrating the hydrostatic pressure equation we get:

h2

∆p  ρ g ∆h

Mercury

Start at the free surface of the mercury and progress through the barometer to the vapor
pressure of the water:

h1

patm  ρHg g h1  ρwater g h2  pv



patm  pv  ρwater g SGHg h1  h2

patm  0.363

lbf
2

in

 1.93 

slug
ft

3

 32.2

ft
2

s



2



lbf  s

slug ft

 ft 

 12 in 

 ( 13.55  28.35 in  6.5 in)  

3

patm  14.41

At the higher temperature, the vapor pressure of water increases to 0.60 psi. Therefore, if the atmospheric pressure
were to remain constant, the length of the mercury column would have to decrease - the increased water vapor would
push the mercury out of the tube!

lbf
2

in

Problem 3.35

Given:

[Difficulty: 3]

U-tube manometer with tubes of different diameter and two liquids, as shown.
d1 = 10⋅ mm d2 = 15⋅ mm SGoil = 0.85

Find:
Solution:

∆p = 250⋅

(a) the deflection, h, corresponding to
(b) the sensitivity of the manometer

N
2

m

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dz

= − ρ⋅ g

(Hydrostatic Pressure - z is positive upwards)

ρ = SG⋅ ρwater

Assumptions:

(Definition of Specific Gravity)

(1) Static liquid
(2) Incompressible liquid

patm

patm + Δp

patm

patm

Integrating the hydrostatic pressure equation we get:

(

)

(

)

p − po = −ρ⋅ g⋅ z − zo = ρ⋅ g⋅ zo − z

h

From the left diagram:

l2

pA − patm = ρwater⋅ g⋅ l1 = ρoil⋅ g⋅ l2

l3

lw

l1

( 1)

l4

A

B

From the right diagram:
pB − patm + ∆p = ρwater⋅ g⋅ l3

(

)

( 2)

pB − patm = ρwater⋅ g⋅ l4 + ρoil⋅ g⋅ l2

( 3)

Combining these three equations:

From the diagram we can see

(

)

(

)

∆p = ρwater⋅ g⋅ l4 − l3 + ρoil⋅ g⋅ l2 = ρwater⋅ g⋅ l4 + l1 − l3
lw = l1 − l3

(

∆p = ρwater⋅ g⋅ h + lw

)

and

h = l4

Therefore:

( 4)
2

We can relate lw to h since the volume of water in the manometer is constant:

π
4

2

π

2

⋅ d1 ⋅ lw = ⋅ d2 ⋅ h
4

⎛ d2 ⎞
lw = ⎜ ⎟ ⋅ h
⎝ d1 ⎠

2⎤
⎡
⎢ ⎛ d2 ⎞ ⎥
∆p = ρwater⋅ g⋅ h⋅ 1 + ⎜ ⎟
⎢
⎥
⎣ ⎝ d1 ⎠ ⎦

Substituting this into (4) yields:

Substituting values into the equation:

N

h = 250⋅

2

×

m

The sensitivity for the manometer is defined as:

Therefore:

s=

1

⎛ d2 ⎞
1+⎜ ⎟
⎝ d1 ⎠

2

s=

s =

1

3

⋅

m

999 kg

h

×

Solving for h:

2

1

s

9.81 m

×

where

∆he
1

⎛ 15⋅ mm ⎞
1+⎜
⎟
⎝ 10⋅ mm ⎠

∆p

h=

1

⎛ 15⋅ mm ⎞
1+⎜
⎟
⎝ 10⋅ mm ⎠

2

2⎤
⎡
⎢ ⎛ d2 ⎞ ⎥
ρwater⋅ g⋅ 1 + ⎜ ⎟
⎢
⎥
⎣ ⎝ d1 ⎠ ⎦

×

kg⋅ m
2

N⋅ s

3

×

10 ⋅ mm

h = 7.85⋅ mm

m

∆p = ρwater⋅ g⋅ ∆he
s = 0.308

2

The design is a poor one. The sensitivity could be improved by interchanging

d2 and d1 , i.e., having d2 smaller than d1

A plot of the manometer sensitivity is shown below:

Sensitivity

1

0.5

0

1

2
Diameter Ratio, d2/d1

3

4

5

Problem 3.36

Given:

[Difficulty: 3]

Water column standin in glass tube
∆h = 50⋅ mm D = 2.5⋅ mm σ = 72.8 × 10

−3N

m

(From Table A.4, App. A)

Find:

(a) Column height if surface tension were zero.
(b) Column height in 1 mm diameter tube

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

= ρ⋅ g

(Hydrostatic Pressure - h is positive downwards)

ΣFz = 0

Assumptions:

(Static Equilibrium)

(1) Static, incompressible liquid
(2) Neglect volume under meniscus
(3) Applied pressure remains constant
(4) Column height is sum of capillary rise and pressure
difference

Δhc
Δh

Δhp

∆h = ∆hc + ∆hp

Assumption #4 can be written as:

Choose a free-body diagram of the capillary rise portion of the column for analysis:
ΣFz = π⋅ D⋅ σ⋅ cos ( θ) −

4⋅ σ
Therefore: ∆hc =
⋅ cos ( θ)
ρ⋅ g⋅ D

π 2
⋅ D ⋅ ρ⋅ g⋅ ∆hc = 0
4

θ

Substituting values:

⎛ 103⋅ mm ⎞
⎟
×⎜
∆hc = 4 × 72.8 × 10 ⋅ ×
⋅
×
⋅ ×
⋅
×
2 ⎝
m 999 kg 9.81 m 2.5 mm
m ⎠
N⋅ s
−3 N

1

3

m

1

2

s

1

kg⋅ m

1

2

Δhc

∆hc = 11.89⋅ mm

Therefore: ∆hp = ∆h − ∆hc

∆hp = 50⋅ mm − 11.89⋅ mm

π Dδ

∆hp = 38.1⋅ mm

Mg = ρgV

(result for σ = 0)

For the 1 mm diameter tube:

⎛ 103⋅ mm ⎞
⎟
∆hc = 4 × 72.8 × 10 ⋅ ×
⋅
×
⋅ × ⋅
×
×⎜
m 999 kg 9.81 m 1 mm N⋅ s2 ⎝ m ⎠
−3 N

∆h = 29.7⋅ mm + 38.1⋅ mm

1

3

m

1

2

s

1

1

kg⋅ m

2

∆hc = 29.71⋅ mm

∆h = 67.8⋅ mm

Problem 3.37

Given:

[Difficulty: 4]

Sealed tank is partially filled with water. Water drains slowly from the
tank until the system attains equilibrium. U-tube manometer is connected
to the tank as shown. (Meriam blue in manometer)
L  3 m

D1  2.5 m

D2  0.7 m

d  0.2 m

Find:

The manometer deflection, l, under equilibrium conditions

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

Assumptions:

 ρ g

SGoil  1.75

(From Table A.2, App. A)

(Hydrostatic Pressure - h is positive downwards)

p  V  M R T

(Ideal gas equation of state)

ρ  SG ρwater

(Definition of Specific Gravity)

(1) Static liquid
(2) Incompressible liquid
(3) Air in tank behaves ideally

patm

p0

Integrating the hydrostatic pressure equation we get:

L

∆p  ρ g ∆h

D1

d
H
D2

To determine the surface pressure po
under equilibrium conditions

po V o



M R Ta

Thus,

M R To



po 



L  D1
Simplifying: po 
p
( L  H) a

 L  D 1  p
( L  H)

a  ρwater g H  pa

Va
Vo

 pa 

 L  D 1  A  p
( L  H)  A

a

po  ρwater g H  pa

Now under equilibrium conditions:

Upon rearranging:

Now we apply the quadratic formula to solve for H:

l


we assume that the air expands at constant temperature:
pa Va



2





Combining these expressions:

ρwater g H  pa  ρwater g L  H  D1 pa  0

a  ρwater g

a  999

kg
3

 9.81

m



b   pa  ρwater g L



m

3 Pa

a  9.8  10 

2

s

kg
m
5 N


b   1.013  10 
 999
 9.81  3 m
2
3
2
m
m
s


5 N
2

c  D 1 pa

m
5

b  1.307  10 Pa

5

c  2.5 m  1.013  10 

c  2.532  10  Pa m

m

Hupper 

b 



2

b  4 a c
2 a

 1.307  105 Pa2  4  9.8  103 Pa  2.532  105 Pa m

5

 1.307  10  Pa 

m

Hupper 

3 Pa

2  9.8  10 

m
Hupper  10.985 m

Hlower 

b 



b  4 a c
2 a

 1.307  105 Pa2  4  9.8  103 Pa  2.532  105 Pa m

5

 1.307  10  Pa 

2

m

Hlower 

3 Pa

2  9.8  10 

m
Hlower  2.352 m
H  2.352 m

Since H can not be greater than 3 m (otherwise the tank would overflow!), we must select the lower value for H:

Solving for the pressure inside the tank:

po 

( 3 m  2.5 m)
5
 1.013  10  Pa
( 3 m  2.352 m)

l

po  ρwater g  H  D2  d    ρoil g l  pa
2


Applying the hydrostatic pressure equation to the manometer:

Solving for the manometer deflection:

 pa  po

l

 ρwater g



 H  D2  d 

1

 SGoil  1
2



1 m
1 s
kg m
1
5 N
4 N 
l   1.013  10 
 7.816  10   


 
 2.352 m  0.7 m  0.2 m 
2
2
2

999 kg 9.81 m

1
m
m 
N s

 1.75 
2
3

4

po  7.816  10 Pa

2

l  0.407 m

Problem 3.38

[Difficulty :2]

Fluid 1

Fluid 2

Given:

Two fluids inside and outside a tube

Find:

(a) An expression for height Δh
(b) Height difference when D =0.040 in for water/mercury

Assumptions:

ρ1gΔhπD2/4

(1) Static, incompressible fluids
(2) Neglect meniscus curvature for column height and
volume calculations

Solution:
A free-body vertical force analysis for the section of fluid 1 height Δh in the tube below
the "free surface" of fluid 2 leads to

∑

2

F = 0 = ∆p⋅

π⋅ D

2

− ρ1⋅ g⋅ ∆h⋅

4

π⋅ D
4

+ π⋅ D⋅ σ⋅ cos ( θ)

where Δp is the pressure difference generated by fluid 2 over height Δh,
2

π⋅ D

Hence

∆p⋅

Solving for Δh

∆h = −

4

2

− ρ1⋅ g⋅ ∆h⋅
4⋅ σ⋅ cos ( θ)

(

σπDcosθ

π⋅ D
4

∆p = ρ2⋅ g⋅ ∆h

2

2

π⋅ D
π⋅ D
= ρ2⋅ g⋅ ∆h⋅
− ρ1⋅ g⋅ ∆h⋅
= −π⋅ D⋅ σ⋅ cos ( θ)
4
4

)

g⋅ D ⋅ ρ 2 − ρ 1

For fluids 1 and 2 being water and mercury (for mercury σ = 375 mN/m and θ = 140o, from Table A.4), solving for Δh when
D = 0.040 in

∆h = −4 × 0.375⋅

∆h = 0.360⋅ in

N
m

×

lbf
4.448⋅ N

×

0.0254m
in

2

× cos ( 140⋅ deg) ×

s

32.2⋅ ft

×

1
0.040⋅ in

×

3

3

1
slugft
⋅
⎛ 12⋅ in ⎞ ×
×
⎟
2
1.94⋅ slug ⎝ ft ⎠
( 13.6 − 1)
lbf⋅ s
ft

×⎜

Problem 3.39

[Difficulty: 2]

h1

Oil
Air

h4

h2
Hg

Given:

Data on manometer before and after an "accident"

Find:

Change in mercury level

Assumptions:

h3

x

(1) Liquids are incompressible and static
(2) Pressure change across air in bubble is negligible
(3) Any curvature of air bubble surface can be neglected in volume calculations

Solution:
Basic equation

dp
dy

  ρ g

or, for constant ρ

For the initial state, working from right to left

where ∆h is height difference

∆p  ρ g ∆h



patm  patm  SGHg ρ g h3  SGoil ρ g h1  h2



SGHg ρ g h3  SGoil ρ g h1  h2





(1)

Note that the air pocket has no effect!
For the final state, working from right to left





patm  patm  SGHg ρ g h3  x  SGoil ρ g h4





SGHg ρ g h3  x  SGoil ρ g h4

(2)

The two unknowns here are the mercury levels before and after (i.e., h3 and x)



Combining Eqs. 1 and 2

SGHg ρ g x  SGoil ρ g h1  h2  h4

From Table A.1

SGHg  13.55

The term

h1  h2  h4

h1  h2  h4 

Then from Eq. 3

x 

1.4
13.55



x

SGoil
SGHg



 h1  h2  h4



(3)

is the difference between the total height of oil before and after the
accident
∆V

 π  d2 


 4 

 1.019 in



2

 1   0.2 in3  1.019 in

π  0.5 in 
4



x  0.1053 in

Problem 3.40

[Difficulty: 2]

Water

Given:

Water in a tube or between parallel plates

Find:

Height Δh for each system

Solution:
a) Tube: A free-body vertical force analysis for the section of water height Δh above the "free surface" in the tube, as
shown in the figure, leads to

∑

2

F = 0 = π⋅ D⋅ σ⋅ cos ( θ) − ρ⋅ g⋅ ∆h⋅

π⋅ D
4

Assumption: Neglect meniscus curvature for column height and volume calculations

Solving for Δh

∆h =

4⋅ σ⋅ cos ( θ)
ρ ⋅ g⋅ D

b) Parallel Plates: A free-body vertical force analysis for the section of water height Δh above the "free surface" between
plates arbitrary width w (similar to the figure above), leads to

∑ F = 0 = 2⋅ w⋅ σ⋅ cos(θ) − ρ⋅ g⋅ ∆h⋅ w⋅ a
Solving for Δh

∆h =

2⋅ σ⋅ cos ( θ)
ρ ⋅ g⋅ a

For water σ = 72.8 mN/m and θ = 0o (Table A.4), so
4 × 0.0728⋅
a) Tube

∆h =
999⋅

kg
3

× 9.81⋅

m

m
2

∆h =
999⋅

kg
3

m

m

×

kg⋅ m
2

−3

∆h = 5.94 × 10

m

∆h = 5.94⋅ mm

m

∆h = 2.97⋅ mm

N⋅ s

× 0.005⋅ m

s

2 × 0.0728⋅
b) Parallel Plates

N

× 9.81⋅

m
2

s

N
m
× 0.005⋅ m

×

kg⋅ m
2

N⋅ s

−3

∆h = 2.97 × 10

σ=
ρ=

0.005
1.94

lbf/ft
3
slug/ft

Using the formula above
Δh (in)
0.0400
0.0200
0.0133
0.0100
0.0080
0.0067
0.0057
0.0050
0.0044
0.0040
0.0036
0.0033
0.0031
0.0029
0.0027
0.0025
0.0024
0.0022
0.0020

Capillary Height Between Vertical Plates
0.045

Height Δh (in)

a (in)
0.004
0.008
0.012
0.016
0.020
0.024
0.028
0.032
0.036
0.040
0.044
0.048
0.052
0.056
0.060
0.064
0.068
0.072
0.080

0.040
0.035
0.030
0.025
0.020
0.015
0.010
0.005
0.000
0.00

0.01

0.02

0.03

0.04

Gap a (in)

0.05

0.06

0.07

0.08

p SL =
R =
=

101
286.9
999

kPa
J/kg.K
kg/m3

The temperature can be computed from the data in the figure.
The pressures are then computed from the appropriate equation.

From Table A.3

Atmospheric Pressure vs Elevation
1.00000
0

10

20

30

40

50

60

70

80

90

0.10000

Pressure Ratio p /p SL

0.01000

0.00100

Computed
0.00010

Table A.3

0.00001

0.00000

Elevation (km)

Agreement between calculated and tabulated data is very good (as it should be, considering the table data are also computed!)

100

z (km)

T (oC)

T (K)

0.0
2.0
4.0
6.0
8.0
11.0
12.0
14.0
16.0
18.0
20.1
22.0
24.0
26.0
28.0
30.0
32.2
34.0
36.0
38.0
40.0
42.0
44.0
46.0
47.3
50.0
52.4
54.0
56.0
58.0
60.0
61.6
64.0
66.0
68.0
70.0
72.0
74.0
76.0
78.0
80.0
82.0
84.0
86.0
88.0
90.0

15.0
2.0
-11.0
-24.0
-37.0
-56.5
-56.5
-56.5
-56.5
-56.5
-56.5
-54.6
-52.6
-50.6
-48.7
-46.7
-44.5
-39.5
-33.9
-28.4
-22.8
-17.2
-11.7
-6.1
-2.5
-2.5
-2.5
-5.6
-9.5
-13.5
-17.4
-20.5
-29.9
-37.7
-45.5
-53.4
-61.2
-69.0
-76.8
-84.7
-92.5
-92.5
-92.5
-92.5
-92.5
-92.5

288.0
275.00
262.0
249.0
236.0
216.5
216.5
216.5
216.5
216.5
216.5
218.4
220.4
222.4
224.3
226.3
228.5
233.5
239.1
244.6
250.2
255.8
261.3
266.9
270.5
270.5
270.5
267.4
263.5
259.5
255.6
252.5
243.1
235.3
227.5
219.6
211.8
204.0
196.2
188.3
180.5
180.5
180.5
180.5
180.5
180.5

m =
0.0065
(K/m)

T = const

m =
-0.000991736
(K/m)

m =
-0.002781457
(K/m)

T = const
m =
0.001956522
(K/m)

m =
0.003913043
(K/m)

T = const

p /p SL

z (km)

p /p SL

1.000
0.784
0.608
0.465
0.351
0.223
0.190
0.139
0.101
0.0738
0.0530
0.0393
0.0288
0.0211
0.0155
0.0115
0.00824
0.00632
0.00473
0.00356
0.00270
0.00206
0.00158
0.00122
0.00104
0.000736
0.000544
0.000444
0.000343
0.000264
0.000202
0.000163
0.000117
0.0000880
0.0000655
0.0000482
0.0000351
0.0000253
0.0000180
0.0000126
0.00000861
0.00000590
0.00000404
0.00000276
0.00000189
0.00000130

0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
6.0
7.0
8.0
9.0
10.0
11.0
12.0
13.0
14.0
15.0
16.0
17.0
18.0
19.0
20.0
22.0
24.0
26.0
28.0
30.0
40.0
50.0
60.0
70.0
80.0
90.0

1.000
0.942
0.887
0.835
0.785
0.737
0.692
0.649
0.609
0.570
0.533
0.466
0.406
0.352
0.304
0.262
0.224
0.192
0.164
0.140
0.120
0.102
0.0873
0.0747
0.0638
0.0546
0.0400
0.0293
0.0216
0.0160
0.0118
0.00283
0.000787
0.000222
0.0000545
0.0000102
0.00000162

Problem 3.43

[Difficulty: 3]

Given:

Data on isothermal atmosphere

Find:

Elevation changes for 3% pressure change and 5% density change; plot of pressure and density versus elevation

Solution:
Assumptions:

Static, isothermal fluid,; g = constant; ideal gas behavior
dp

Basic equations

dz
dp

Then

dz

For an ideal gas with T constant

p2
p1



g

ρ1 Rair T

Rair  287

Evaluating

C

For a 3% reduction in pressure

For a 5% reduction in density

To plot

p2
p1

and

ρ2
ρ1

we rearrange Eq. 1

p2
p1
ρ2
ρ1
ρ2
ρ1

 p2 

 p1 

 ln 

ρ2 Rair T

From Table A.6

and

Rair T

Rair T0

p  ρ R  T

and
p g

  ρ g  

∆z  

Integrating

  ρ g



dp
p



where

T  T0

so

∆z  

ρ2
ρ1

g
Rair T

 dz

Rair T0
g

 ρ2 
 ρ2 
  C ln 
 ρ1 
 ρ1 

 ln 

(1)

N m
kg K

Rair T0

 287

g

N m
kg K

 ( 30  273)  K 

1

2



s

9.81 m



kg m
2

C  8865 m

N s

 0.97

so from Eq. 1

∆z  8865 m ln ( 0.97)

∆z  270 m

 0.95

so from Eq. 1

∆z  8865 m ln ( 0.95)

∆z  455 m



p2
p1



e

∆z
C

5000

Elevation (m)

4000

3000

2000

1000

0.5

0.6

0.7

0.8

Pressure or Density Ratio

This plot can be plotted in Excel

0.9

1

Problem 3.44

[Difficulty: 3]

Given:

Atmospheric conditions at ground level (z = 0) in Denver, Colorado are p0 = 83.2 kPa, T0 = 25°C.
Pike's peak is at elevation z = 2690 m.

Find:

p/p0 vs z for both cases.

Solution:
dp

Governing Equations:
Assumptions:

  ρ g

dz

p  ρ R  T

(1) Static fluid
(2) Ideal gas behavior

(a) For an incompressible atmosphere:
dp
dz

At

z

  ρ g


p  p 0    ρ  g dz
0

becomes

p

(b) For an adiabatic atmosphere:

ρ
dp
dz



m




s

p  83.2 kPa   1  9.81

z  2690 m

k

g z 

p  p0  ρ0 g z  p0  1 
R  T0 



or

2

 2690 m 

 p 
ρ  ρ 0  
 p0 

 const

 p 
dp  ρ0    g dz
 p0 

becomes

287 N  m

or

1
p

p

But

k1


1
k
k

dp 
 p  p0

1
k1

k
 p
p







1
298 K



2
N  s 

p  57.5 kPa

kg m 



1
k

1
k

  ρ g

kg K

(1)

1
k

dp  

ρ 0 g
p0

1
k

 dz

k1 
 k1
ρ 0 g
k  k
k 
 p
 p0

 g z

1
k1 

hence

p0

k

0

Solving for the pressure ratio

 k  1 ρ0 
p
 1 
  g z
p0
k p0


At

z  2690 m

k
k1

or





1.4  1




1.4

p  83.2 kPa   1 

 9.81

p
 k  1  g z 
 1 
p0
k R  T0 



m
2

s

 2690 m 

kg K
287 N m



k
k1

(2)



1
298 K



2
N s 

kg m 



1.4
1.41

p  60.2 kPa

Elevation above Denver (m)

Equations 1 and 2 can be plotted:

510

3

410

3

310

3

210

3

110

3

Temperature Variation with Elevation

Incompressible
Adiabatic
0
0.4

0.6

0.8

Pressure Ratio (-)

1

Problem 3.45

Given:

[Difficulty: 3]

Martian atmosphere behaves as an idel gas, constant temperature
m
Mm  32.0 T  200 K g  3.92
2
s

ρo  0.015

kg
3

m

Find:

Density at z = 20 km
Plot the ratio of density to sea level density versus altitude, compare to
that of earth.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp

  ρ g

dz

(Hydrostatic Pressure - z is positive upwards)

p  ρ R  T
Ru
R
Mm

Assumptions:

(Ideal Gas Equation of State)
(Definition of Gas Constant)

(1) Static fluid
(2) Constant gravitational acceleration
(3) Ideal gas behavior
dp  R T dρ

Taking the differential of the equation of state (constant temperature):

R  T

Substituting into the hydrostatic pressure equation:

ρ

Integrating this expression:

dρ

z

 1

g

dρ   
dz
 R T
 ρ
0
ρ
N m

kg mol K






1
32.0

  3.92

ρ  0.015

kg
m

3

e

For the Martian atmosphere, let

m
s

2



 ρ    g z

R T
 ρo 

kg mol

R  259.822

kg

3

 20 10  m 

dρ

Therefore:

ln 

o

Evaluating: R  8314.3

dz

  ρ g

ρ

ρ

or

ρo



g
R T



e

 dz

g z
RT

( 1)

N m
kg K

1
kg K 1 1 N  s 


 
259.822 N  m 200 K kg m 
2



 3 kg
3

ρ  3.32  10

m

x

g
R T

x  3.92

m
2

s



1



kg K

259.822 N  m



1



1

200 K

2



N s

kg m

x  0.07544

1
km

ρ

Therefore:

ρo

 x z

e

These data are plotted along with the data for Earth's atmosphere from Table A.3.

Density Ratios of Earth and Mars versus Elevation
20

Elevation z (km)

15

10

5

Earth
Mars
0

0

0.2

0.4

0.6
Density Ratio (-)

0.8

1

Problem 3.46

Given:

[Difficulty: 3]

Door located in plane vertical wall of water tank as shown
a = 1.5⋅ m b = 1⋅ m

c = 1⋅ m

ps

Atmospheric pressure acts on outer surface of door.

Find:

c

Resultant force and line of action:
(a) for
(b) for

y

ps = patm

y’

a

psg = 0.3⋅ atm

Plot F/Fo and y'/yc over range of ps/patm (Fo is force
determined in (a), yc is y-ccordinate of door centroid).

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dy

b

= ρ⋅ g

(Hydrostatic Pressure - y is positive downwards)

⌠
⎮
p dA
⎮
⌡
⌠
⎮
y'⋅ FR =
y⋅ p dA
⎮
⌡
FR =

Assumptions:

(Hydrostatic Force on door)
(First moment of force)

(1) Static fluid
(2) Incompressible fluid

We will obtain a general expression for the force and line of action, and then simplify for parts (a) and (b).
Since

dp = ρ⋅ g⋅ dh

Now because

patm

it follows that p = ps + ρ⋅ g⋅ y
acts on the outside of the door,

psg is the surface gage pressure:

c+ a
c+ a
⌠
⌠
⌠
ρ⋅ g 2
⎮
⎡
⎤
FR =
p dA = ⎮
p⋅ b dy = ⎮
psg + ρ⋅ g⋅ y ⋅ b dy = b⋅ ⎢psg⋅ a +
⋅ a + 2⋅ a⋅ c ⎥
⎮
⌡
2
⌡c
⎣
⎦
⌡
c

(

⌠
⎮
y'⋅ FR =
y⋅ p dA
⎮
⌡

Therefore:

Evaluating the integral:

y' =

(

)

)

c+ a
1 ⌠
1 ⌠
⎮
y' =
y⋅ p dA =
⋅⎮
y⋅ psg + ρ⋅ g⋅ y ⋅ b dy
FR ⎮
FR ⌡
⌡
c

(

b ⎡ psg ⎡
ρ⋅ g ⎡
2
2
3
3⎤
⎢ ⎣( c + a) − c ⎤⎦ +
⋅ ⎣( c + a) − c ⎤⎦⎥
FR ⎣ 2
3
⎦

)

p = psg + ρ⋅ g⋅ y

( 1)

(

psg = 0

For part (a) we know

Fo =

)

⎤
b ⎡ psg 2
ρ⋅ g ⎡ 3
⋅⎢
a + 2⋅ a⋅ c +
⋅ ⎣a + 3⋅ a⋅ c⋅ ( a + c)⎤⎦⎥
FR ⎣ 2
3
⎦

Simplifying: y' =

1
2

kg

× 999⋅

3

so substituting into (1) we get:

× 9.81⋅

m

m

1
3

× 999⋅

kg
3

Fo =

2

2

s

m

× 9.81⋅

2

m

ρ ⋅ g⋅ b
2

(2

y' =

1

× 1⋅ m⋅

2

N⋅ s

Fo = 25.7⋅ kN

kg⋅ m

ρ ⋅ g⋅ b ⎡ 3
⋅ ⎣a + 3⋅ a⋅ c⋅ ( a + c)⎤⎦
3⋅ F o
⋅

25.7 × 10

s

)

⋅ a + 2⋅ a⋅ c

× 1⋅ m × ⎡⎣( 1.5⋅ m) + 2 × 1.5⋅ m × 1⋅ m⎤⎦ ×

Substituting into (2) for the line of action we get:

y' =

( 2)

1

× ⎡⎣( 1.5⋅ m) + 3 × 1.5⋅ m × 1⋅ m × ( 1.5⋅ m + 1⋅ m)⎤⎦ ×
3

3 N

2

N⋅ s

kg⋅ m
y' = 1.9 m

psg = 0.3⋅ atm . Substituting into (1) we get:

For part (b) we know

⎡

1.013 × 10 ⋅ N

⎢
⎣

m ⋅ atm

5

FR = 1⋅ m × ⎢0.3⋅ atm ×

2

× 1.5⋅ m +

1
2

× 999⋅

kg
3

× 9.81⋅

m

m
2

× ⎡⎣( 1.5⋅ m) + 2 × 1.5⋅ m × 1⋅ m⎤⎦ ×
2

s

2
N⋅ s ⎤⎥

kg⋅ m⎥

⎦
FR = 71.3⋅ kN

kg
m
⎤
999⋅
× 9.81⋅
⎢
5
3
2⎥
2
m
s
3
3 N⋅ s ⎥
⎢ 0.3⋅ atm × 1.013 × 10 ⋅ N × ⎡( 1.5) 2 + 2⋅ 1.5⋅ 1⎤ ⋅ m2 +
1⋅ m ×
× ⎡⎣( 1.5) + 3⋅ 1.5⋅ 1⋅ ( 1.5 + 1)⎤⎦ ⋅ m ×
⎣
⎦
⎢ 2
2
kg⋅ m⎥
3
m ⋅ atm
⎣
⎦
y' =

Substituting ⎡into (2) for the line of action we get:

3

71.3 × 10 ⋅ N
y' = 1.789 m
The value of F/Fo is obtained from Eq. (1) and our result from part (a):

F
Fo

=

⎡
⎣

b⋅ ⎢psg⋅ a +
ρ ⋅ g⋅ b
2

For the gate

yc = c +

a
2

ρ⋅ g
2

(2

(2

)⎤

⋅ a + 2⋅ a⋅ c ⎥

)

⋅ a + 2⋅ a⋅ c

⎦ = 1+

2⋅ psg
ρ⋅ g⋅ ( a + 2⋅ c)

Therefore, the value of y'/yc is obtained from Eqs. (1) and (2):

⎡ psg 2
ρ⋅ g ⎡ 3
⎤⎦⎥⎤
(
)
⎢
a
+
2
⋅
a
⋅
c
+
⋅
a
+
3
⋅
a
⋅
c
⋅
(
a
+
c
)
⎣
⎡ psg 2
y'
2⋅ b
3
⎦
(a + 2⋅ a⋅ c) + ρ⋅ g ⋅ ⎡⎣a3 + 3⋅ a⋅ c⋅ (a + c)⎤⎦⎤⎥ = 2⋅ b ⋅ ⎣ 2
=
⋅⎢
yc
FR⋅ ( 2⋅ c + a) ⎣ 2
3
ρ
⋅
g
(
2
⋅
c
+
a
)
2
⎦
⎡ ⎡
⎤⎤
⋅ (a + 2⋅ a⋅ c)⎥⎥
⎢b⋅ ⎢psg⋅ a +
2
⎣ ⎣
⎦⎦

Simplifying this expression we get:

y'
yc

=

2
( 2⋅ c + a)

(

⋅

)

psg 2
ρ⋅ g ⎡ 3
a + 2⋅ a⋅ c +
⋅ ⎣a + 3⋅ a⋅ c⋅ ( a + c)⎤⎦
2
3
psg⋅ a +

ρ⋅ g
2

(2

)

⋅ a + 2⋅ a⋅ c

Based on these expressions we see that the force on the gate varies linearly with the increase in surface pressure, and that the line of
action of the resultant is always below the centroid of the gate. As the pressure increases, however, the line of action moves closer to
the centroid.
Plots of both ratios are shown below:
Force Ratio vs. Surface Pressure
40

Force Ratio F/Fo

30

20

10

0

0

1

2

3

4

5

4

5

Surface Pressure (atm)

Line of Action Ratio vs. Surface Pressure
1.05

Line of Action Ratio y'/yc

1.04

1.03

1.02

1.01

1

0

1

2
Surface Pressure (atm)

3

Problem 3.47

Given:

[Difficulty: 2]

Door of constant width, located in plane vertical wall of water tank is
hinged along upper edge.
b  1 m

D  1 m

ps

L  1.5 m

D

x
y

(a) Force F, if ps  patm

Find:

Hinge

h

Atmospheric pressure acts on outer surface of door; force F is applied
at lower edge to keep door closed.

L

(b) Force F, if p  0.5 atm
sg
Plot F/Fo over tange of ps/patm (Fo is force determined in (a)).

pdA
F

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
 ρ g
dh
FR 

(Hydrostatic Pressure - h is positive downwards)



p dA



(Hydrostatic Force on door)

ΣMz  0

Assumptions:

(Rotational Equilibrium)

(1) Static fluid
(2) Constant density
(3) Door is in equilibrium

Taking moments about the hinge:

 F L 



y p dA  0



dA  b dy

L

1 
Solving for the force: F    b y p dy
L 0
Since

dp  ρ g dh

and hence

it follows that

p  p s  ρ  g ( D  y )
L

( 1)

We will obtain a general expression for F
and then simplify for parts (a) and (b).

p  p s  ρ  g h

Now because

patm

1 
From Equation (1): F    b y psg  ρ g ( D  y) dy


L 
0

where

h  Dy

acts on the outside of the door,
L

psg

is the surface gage pressure.

b 
2
F     psg  ρ g D  y  ρ g y  dy


L 
0





After integrating: F 

2
3
b 
L
L 
  psg  ρ g D 
 ρ  g 
L 
2
3





(a) For ps  patm it follows that psg  0

Fo  999

kg
3

 9.81

m

m
2




F  b psg

or

L
2

 D  L

 2 3

F o  ρ  g b L  

Therefore:

 D  L 

 2 3 

 ρ  g L  

( 2)

( 3)

2

 1 m  1.5 m   N s

3  kg m
 2

 1 m  1.5 m  

s

Fo  14.7 kN

(b) For psg  0.5 atm we substitute variables:



101 kPa




atm

F  1 m  0.5 atm 



1.5 m
2

kg
3

 9.81

m

F

From Equations (2) and (3) we have:

 999

Fo






m
2

2
 1 m  1.5 m   N s 

3  kg m
 2


 1.5 m  

s

F  52.6 kN

 D  L 

psg
2
 2 3   1 
 D L
 D L
ρ  g b L    
2 ρ g   
 2 3
 2 3

b psg

L

 ρ  g L  

Here is a plot of the force ratio as a function of the surface pressure:

Force Ratio, F/Fo

30

20

10

0

0

1

2

3

Surface Pressure Ratio, ps/patm

4

5

Problem 3.48

[Difficulty: 5]

Discussion: The design requirements are specified except that a typical floor height is about 12 ft, making the total required lift
about 36 ft. A spreadsheet was used to calculate the system properties for various pressures. Results are presented on the next page,
followed by a sample calculation. Total cost dropped quickly as system pressure was increased. A shallow minimum was reached in
the 100-110 psig range. The lowest-cost solution was obtained at a system pressure of about 100 psig. At this pressure, the reservoir
of 140 gal required a 3.30 ft diameter pressure sphere with a 0.250 in wall thickness. The welding cost was $155 and the material cost
$433, for a total cost of $588. Accumulator wall thickness was constrained at 0.250 in for pressures below 100 psi; it increased for
higher pressures (this caused the discontinuity in slope of the curve at 100 psig). The mass of steel became constant above 110 psig.
No allowance was made for the extra volume needed to pressurize the accumulator. Fail-safe design is essential for an elevator to be
used by the public. The control circuitry should be redundant. Failures must be easy to spot. For this reason, hydraulic actuation is
good: leaks will be readily apparent. The final design must be reviewed, approved, and stamped by a professional engineer since the
design involves public safety. The terminology used in the solution is defined in the following table:
Symbol

Definition

Units

p

System pressure

psig

Ap

Area of lift piston

in2

Voil

Volume of oil

gal

Ds

Diameter of spherical accumulator

ft

t

Wall thickness of accumulator

in

Aw

Area of weld

in2

Cw

Cost of weld

$

Ms

Mass of steel accumulator

lbm

Cs

Cost of steel

$

Ct

Total Cost

$

A sample calculation and the results of the system simulation in Excel are presented below.

p

πD S2
4

πD S tσ

Results of system simulation:

Problem 3.49

Given:

Geometry of chamber system

Find:

Pressure at various locations

Assumptions:

[Difficulty: 2]

(1) Water and Meriam Blue are static and incompressible
(2) Pressure gradients across air cavities are negligible

Solution:
Basic equation

dp

or, for constant ρ

  ρ g

dy

where ∆h is height difference

∆p  ρ g ∆h

For point A

pA  patm  ρH2O g h1 or in gage pressure

pA  ρH2O g h1

Here we have

h1  8 in

h1  0.667 ft

pA  1.94

slug
ft

3

 32.2

ft
2

2

 0.667 ft 

s

lbf s
 ft 


slugft

 12 in 

For the first air cavity

pair1  pA  SGMB ρH2O g h2 where

From Table A.1

SGMB  1.75
lbf

pair1  0.289

2

 1.75  1.94

slug

in

ft

3

 32.2

ft
2

2

pA  0.289 psi

h2  4 in

h2  0.333 ft

2

 0.333 ft 

 ft 

slug ft  12 in 

where

h3  6 in

s

lbf  s

(gage)



2

pair1  0.036 psi

(gage)

Note that p = constant throughout the air pocket
For point B

pB  pair1  SGHg ρH2O g h3
pB  0.036

lbf
2

 1.75  1.94

in
For point C

slug
ft

3

 32.2

ft
2

2

 0.5 ft 

s

pC  pair2  SGHg ρH2O g h4
pC  0.416

lbf
2

 1.75  1.94

in

slug
ft

3

 32.2

ft
2

lbf
2

in

 1.75  1.94

ft

3

 32.2

pB  0.416 psi

h4  10 in

 0.833 ft 

 ft 

slug ft  12 in 

2

s

slug

2



where

For the second air cavity pair2  pC  SGHg ρH2O h5
pair2  1.048

 ft 

slug ft  12 in 
lbf  s

h3  0.5 ft

ft
2

s

lbf  s

h5  6 in

 0.5 ft 

 ft 

slug ft  12 in 

2

lbf  s

h4  0.833 ft
2



where



(gage)

pC  1.048 psi

(gage)

h5  0.5 ft
2

pair2  0.668 psi

(gage)

Problem 3.50

Given:

Geometry of gate

Find:

Force FA for equilibrium

[Difficulty: 3]

h
H = 25 ft
FA

A
y

R = 10 ft

y

B

x

z

Solution:
⌠
⎮
F R = ⎮ p dA
⌡

Basic equation

or, use computing equations

dp
= ρ⋅ g
dh

ΣMz = 0

FR = pc⋅ A

Ixx
y' = yc +
A ⋅ yc

where y would be measured
from the free surface

Assumptions: static fluid; ρ = constant; patm on other side; door is in equilibrium
Instead of using either of these approaches, we note the following, using y as in the sketch
ΣMz = 0

FA =

FA ⋅ R =

1 ⌠
⎮
⋅
y⋅ ρ ⋅ g⋅ h dA
R ⎮
⌡

⌠
⎮
y⋅ p d A
⎮
⌡

with

with

dA = r⋅ dr⋅ dθ

p = ρ ⋅ g⋅ h

and

(Gage pressure, since p =
patm on other side)

y = r⋅ sin ( θ)

h = H−y

π

Hence

⌠
π R
3
4
1 ⌠ ⌠
ρ⋅ g ⎮ ⎛ H ⋅ R
R
2⎞
FA = ⋅ ⎮ ⎮ ρ⋅ g⋅ r⋅ sin ( θ) ⋅ ( H − r⋅ sin ( θ) ) ⋅ r dr dθ =
⋅⎮ ⎜
⋅ sin ( θ) −
⋅ sin ( θ) ⎟ dθ
R ⌡0 ⌡0
R
3
4
⎠
⌡0 ⎝
FR =

Using given data

3
4
⎛ 2⋅ H ⋅ R 2 π ⋅ R 3 ⎞
ρ ⋅ g ⎛ 2⋅ H ⋅ R
π⋅ R ⎞
⎟ = ρ ⋅ g⋅ ⎜
⎟
⋅⎜
−
−
R ⎝ 3
8 ⎠
8 ⎠
⎝ 3

FR = 1.94⋅

slug
ft

3

× 32.2⋅

2

2 π
3⎤ lbf ⋅ s
⎡2
× ⎢ × 25⋅ ft × ( 10⋅ ft) − × ( 10⋅ ft) ⎥ ×
2 ⎣3
8
⎦ slug⋅ ft
s

ft

4

FR = 7.96 × 10 ⋅ lbf

Problem 3.51

Given:

Geometry of access port

Find:

Resultant force and location

[Difficulty: 2]

y’

y
a = 1.25 ft
dy

w
FR
SG = 2.5

b = 1 ft

Solution:
Basic equation

FR =

⌠
⎮
p dA
⎮
⌡

dp
dy

⌠
⌠
⎮
⎮
ΣMs = y'⋅ FR =
y dF R =
y⋅ p dA
⎮
⎮
⌡
⌡

= ρ⋅ g

Ixx
y' = yc +
A ⋅ yc

FR = pc⋅ A

or, use computing equations
We will show both methods

Assumptions:

Static fluid; ρ = constant; patm on other side
FR =

⌠
⌠
⎮
⎮
p dA =
SG⋅ ρ⋅ g⋅ y dA
⎮
⎮
⌡
⌡
a

w

dA = w⋅ dy and

but

b

y

=

w =

a

b
a

⋅y

a

Hence

2
⌠
⌠
b
b 2
SG⋅ ρ⋅ g⋅ b⋅ a
FR = ⎮ SG⋅ ρ⋅ g⋅ y⋅ ⋅ y dy = ⎮ SG⋅ ρ⋅ g⋅ ⋅ y dy =
⎮
⎮
a
a
3
⌡0
⌡0

Alternatively

FR = pc⋅ A

Hence

FR =

For y'

3
⌠
⌠
b 3
SG⋅ ρ⋅ g⋅ b⋅ a
⎮
y'⋅ FR =
y⋅ p dA = ⎮ SG⋅ ρ⋅ g⋅ ⋅ y dy =
⎮
⎮
a
4
⌡
⌡0

Alternatively

Ixx
y' = yc +
A ⋅ yc

2
pc = SG⋅ ρ⋅ g⋅ yc = SG⋅ ρ⋅ g⋅ ⋅ a
3

and

A =

with

1
2

⋅ a⋅ b

2

SG⋅ ρ⋅ g⋅ b⋅ a
3

a

Using given data, and SG = 2.5 (Table A.1)
and

3

y' =

3

b⋅ a
Ixx =
36

and

2.5

FR =
y' =

3
3
4

⋅a

⋅ 1.94⋅

slug
ft

3

(Google it!)

× 32.2⋅

ft
2

y' =

SG⋅ ρ⋅ g⋅ b⋅ a
4⋅ F R
2
3
2

y' = 0.938⋅ ft

3
4

⋅a

3

⋅a +

× 1⋅ ft × ( 1.25⋅ ft) ×

s

=

b⋅ a

2 3
3
⋅
⋅
= ⋅a
36 a⋅ b 2⋅ a
4
2

lbf ⋅ s

slug⋅ ft

FR = 81.3⋅ lbf

Problem 3.52

Given:

Geometry of plane gate

Find:

Minimum weight to keep it closed

[Difficulty: 3]

L=3m
h

y
L/2

dF
W
w=2m

Solution:
FR =

Basic equation

⌠
⎮
p dA
⎮
⌡

dp
dh

= ρ⋅ g

ΣMO = 0
Ixx
y' = yc +
A ⋅ yc

F R = pc ⋅ A

or, use computing equations

Assumptions: static fluid; ρ = constant; patm on other side; door is in equilibrium
Instead of using either of these approaches, we note the following, using y as in the sketch
⌠
L
⎮
W⋅ ⋅ cos ( θ) =
y dF
⎮
2
⌡

ΣMO = 0
We also have

dF = p⋅ dA

Hence

W=

with

p = ρ⋅ g⋅ h = ρ⋅ g⋅ y⋅ sin ( θ)

(Gage pressure, since p = patm on other side)

⌠
⌠
2
⎮
⎮
y⋅ p dA =
⋅
y⋅ ρ⋅ g⋅ y⋅ sin ( θ) ⋅ w dy
⎮
L⋅ cos ( θ) ⌡
L⋅ cos ( θ) ⎮
⌡
2

⋅

L
⌠
2⋅ ρ⋅ g⋅ w⋅ tan( θ) ⌠ 2
2
2
⎮
W=
⋅
y⋅ p dA =
⋅ ⎮ y dy = ⋅ ρ⋅ g⋅ w⋅ L ⋅ tan( θ)
⎮
⌡
L⋅ cos ( θ) ⌡
L
3
0

2

Using given data

W =

2
3

⋅ 1000⋅

kg
3

m

× 9.81⋅

m
2

s

2

× 2⋅ m × ( 3⋅ m) × tan( 30⋅ deg) ×

2

N⋅ s

kg⋅ m

W = 68⋅ kN

Problem 3.53

[Difficulty: 4]

Given:

Semicylindrical trough, partly filled with water to depth d.

Find:

(a) General expressions for

FR and y' on end of trough, if open to the atmosphere.

(b) Plots of results vs. d/R between 0 and 1.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dy

= ρ⋅ g

FR =

⌠
⎮
p dA
⎮
⌡

y'⋅ FR =

Assumptions:

(Hydrostatic Force on door)

⌠
⎮
y⋅ p dA
⎮
⌡

(First moment of force)

R–d

(1) Static fluid
(2) Incompressible fluid

Integrating the pressure equation:
Therefore:

(Hydrostatic Pressure - y is positive downwards)

p = ρ ⋅ g⋅ h

where h = y − ( R − d)

⎡ y − ⎛1 −
⎜
⎣R ⎝

p = ρ⋅ g⋅ [ y − ( R − d) ] = ρ⋅ g⋅ R⋅ ⎢

Expressing this in terms of θ and α in the figure:
For the walls at the end of the trough:

d ⎞⎤
⎟⎥
R ⎠⎦

θ

y

h
d

dy

α

p = ρ⋅ g⋅ R⋅ ( cos ( θ) − cos ( α) )

dA = w⋅ dy = 2⋅ R⋅ sin ( θ) ⋅ dy Now since y = R⋅ cos ( θ) it follows that dy = −R⋅ sin ( θ) ⋅ dθ

Substituting this into the hydrostatic force equation:
R

0

⌠
⌠
FR = ⎮
p⋅ w dy = ⎮ ρ⋅ g⋅ R⋅ ( cos ( θ) − cos ( α) ) ⋅ 2⋅ R⋅ sin ( θ) ⋅ ( −R⋅ sin ( θ) ) dθ
⌡R−d
⌡α
Upon simplification:
3⌠
2
2
3 ⎡ ( sin ( α) )
⎛ α sin ( α) ⋅ cos ( α) ⎞⎥⎤
FR = 2⋅ ρ⋅ g⋅ R ⎮ ⎡⎣sin ( θ) ⋅ cos ( θ) − ( sin ( θ) ) ⋅ cos ( α)⎤⎦ dθ = 2⋅ ρ⋅ g⋅ R ⋅ ⎢
− cos ( α) ⋅ ⎜ −
⎟
⌡0
2
⎣ 3
⎝2
⎠⎦
α

3

3 ⎡ ( sin ( α) )

FR = 2⋅ ρ⋅ g⋅ R ⋅ ⎢

⎣

Non-dimensionalizing the force:

⎡ ( sin ( α) ) 3

FR
ρ⋅ g⋅ R

3

3

= 2⋅ ⎢

⎣

3

⎛ α − sin ( α) ⋅ cos ( α) ⎞⎥⎤
⎟
2
⎝2
⎠⎦

3

− cos ( α) ⋅ ⎜

⎛ α − sin ( α) ⋅ cos ( α) ⎞⎥⎤
⎟
2
⎝2
⎠⎦

− cos ( α) ⋅ ⎜

To find the line of action of the force:
R

0

⌠
⌠
y'⋅ FR = ⎮
y⋅ p⋅ w dy = ⎮ R⋅ cos ( θ) ⋅ ρ⋅ g⋅ R⋅ ( cos ( θ) − cos ( α) ) ⋅ 2⋅ R⋅ sin ( θ) ⋅ ( −R⋅ sin ( θ) ) dθ
⌡R−d
⌡α
Upon simplification:
3
( sin ( α) ) ⎤
sin ( 4⋅ α) ⎞
4 ⎡1 ⎛
2
2
2
⎥
y'⋅ FR = 2⋅ ρ⋅ g⋅ R ⋅ ⎮ ⎡⎣( sin ( θ) ) ⋅ ( cos ( θ) ) − cos ( α) ⋅ ( sin ( θ) ) ⋅ cos ( θ)⎤⎦ dθ = 2⋅ ρ⋅ g⋅ R ⋅ ⎢ ⋅ ⎜ α −
− cos ( α) ⋅
⎟
⌡0
4
3
⎣8 ⎝
⎠
⎦
4⌠

α

3
( sin ( α) ) ⎤
sin ( 4⋅ α) ⎞
4 ⎡1 ⎛
⎥
y'⋅ FR = 2⋅ ρ⋅ g⋅ R ⋅ ⎢ ⋅ ⎜ α −
⎟ − cos ( α) ⋅
4
3
⎣8 ⎝
⎠
⎦

and therefore

y' =

Simplifying the expression:
y'
R

=

y'⋅ FR
FR

or

y'
R

=

y'⋅ FR
R ⋅ FR

sin ( 4⋅ α) ⎞
( sin ( α) )
1 ⎛
⋅ ⎜α −
⎟ − cos ( α) ⋅
4
8 ⎝
3
⎠
( sin ( α) )
3

3

⎛ α − sin ( α) ⋅ cos ( α) ⎞
⎟
2
⎝2
⎠

− cos ( α) ⋅ ⎜

Plots of the non-dimensionalized force and the line of
action of the force are shown in the plots below:

Non-dimensional Force

0.8

0.6

0.4

0.2

0

0

0.5

1

d/R
1

0.8

y'/R

0.6

0.4

0.2

0

0

0.5
d/R

3

1

Problem 3.54

Given:

Gate geometry

Find:

Depth H at which gate tips

[Difficulty: 3]

Solution:
This is a problem with atmospheric pressure on both sides of the plate, so we can first determine the location of the
center of pressure with respect to the free surface, using Eq.3.11c (assuming depth H)
3

Ixx
y' = yc +
A ⋅ yc

w⋅ L

Ixx =

and

with

12

yc = H −

L
2

where L = 1 m is the plate height and w is the plate width

Hence

⎛
⎝

3

L⎞

y' = ⎜ H −

w⋅ L

⎟+
2⎠
⎛
12⋅ w⋅ L⋅ ⎜ H −
⎝

L⎞

⎟

⎛
⎝

= ⎜H −

2⎠

2

L⎞

L

⎟+
2⎠
⎛
12⋅ ⎜ H −
⎝

L⎞

⎟

2⎠

But for equilibrium, the center of force must always be at or below the level of the hinge so that the stop can hold the gate in
place. Hence we must have
y' > H − 0.45⋅ m
L
Combining the two equations ⎛⎜ H − ⎞⎟ +
2⎠
⎝

Solving for H

H ≤

L
2

+

L

2

⎛
⎝

12⋅ ⎜ H −
L

L⎞

≥ H − 0.45⋅ m

⎟

2⎠

2

⎛L
⎞
12⋅ ⎜ − 0.45⋅ m⎟
⎝2
⎠

H ≤

1⋅ m
2

+

( 1⋅ m)

2

⎛ 1⋅ m − 0.45⋅ m⎞
12 × ⎜
⎟
⎝ 2
⎠

H ≤ 2.17⋅ m

Problem 3.55

Given:

Geometry of cup

Find:

Force on each half of cup

Assumptions:

[Difficulty: 1]

(1) Tea is static and incompressible
(2) Atmospheric pressure on outside of cup

Solution:
⌠
⎮
p dA
⎮
⌡

Basic equation

FR =

or, use computing equation

FR = pc⋅ A

dp
dh

= ρ⋅ g

The force on the half-cup is the same as that on a rectangle of size

FR =

⌠
⌠
⎮
⎮
p dA =
ρ⋅ g⋅ y dA
⎮
⎮
⌡
⌡
h

Hence

⌠
ρ⋅ g⋅ w⋅ h
FR = ⎮ ρ⋅ g⋅ y⋅ w dy =
⌡0
2

Alternatively

FR = pc⋅ A

Using given data

FR =

1
2

× 999⋅

3

m

× 9.81⋅

w = 6.5⋅ cm

and

dA = w⋅ dy

but
2

h
ρ⋅ g⋅ w⋅ h
FR = pc ⋅ A = ρ⋅ g⋅ yc⋅ A = ρ⋅ g⋅ ⋅ h ⋅ w =
2
2

and
kg

h = 8⋅ cm

m
2

s

2

3

2

⎛ m ⎞ × N⋅ s
⎟
⎝ 100⋅ cm ⎠ kg⋅ m

× 6.5⋅ cm × ( 8⋅ cm) × ⎜

Hence a teacup is being forced apart by about 2 N: not much of a force, so a paper cup works!

2

FR = 2.04⋅ N

Problem 3.56

Given:

Geometry of lock system

Find:

Force on gate; reactions at hinge

[Difficulty: 3]

Ry
Rx

Solution:
Basic equation
or, use computing equation

FR =

⌠
⎮
p dA
⎮
⌡

dp

= ρ⋅ g

dh

FR

FR = pc⋅ A

Assumptions: static fluid; ρ = constant; patm on other side
The force on each gate is the same as that on a rectangle of size
h = D = 10⋅ m

w =

and

W
2⋅ cos ( 15⋅ deg)

⌠
⌠
⎮
⎮
FR = ⎮ p dA = ⎮ ρ⋅ g⋅ y dA
⌡
⌡
h

but

Hence

⌠
ρ ⋅ g⋅ w ⋅ h
F R = ⎮ ρ ⋅ g⋅ y⋅ w dy =
⌡0
2

Alternatively

FR = pc⋅ A

Using given data

FR =

1
2

⋅ 1000⋅

3

× 9.81⋅

m

dA = w⋅ dy

2

h
ρ ⋅ g⋅ w ⋅ h
FR = pc⋅ A = ρ⋅ g⋅ yc⋅ A = ρ⋅ g⋅ ⋅ h⋅ w =
2
2

and

kg

Fn

m
2

s

×

34⋅ m
2⋅ cos ( 15⋅ deg)

2

2

2

× ( 10⋅ m) ×

N⋅ s

kg⋅ m

FR = 8.63⋅ MN

For the force components Rx and Ry we do the following
FR

w
ΣMhinge = 0 = FR⋅ − Fn⋅ w⋅ sin ( 15⋅ deg)
2

Fn =

ΣFx = 0 = FR⋅ cos ( 15⋅ deg) − Rx = 0

Rx = FR⋅ cos ( 15⋅ deg)

Rx = 8.34⋅ MN

ΣFy = 0 = −Ry − FR⋅ sin ( 15⋅ deg) + Fn = 0

Ry = Fn − FR⋅ sin ( 15⋅ deg)

Ry = 14.4⋅ MN

R = ( 8.34⋅ MN , 14.4⋅ MN)

R = 16.7⋅ MN

2⋅ sin ( 15⋅ deg)

Fn = 16.7⋅ MN

Problem 3.57

[Difficulty: 2]

Given:

Liquid concrete poured between vertical forms as shown
t = 0.25⋅ m H = 3⋅ m W = 5⋅ m SGc = 2.5 (From Table A.1, App. A)

Find:

(a) Resultant force on form
(b) Line of application

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dy

= ρ⋅ g

(Hydrostatic Pressure - y is positive downwards)

FR = pc⋅ A

(Hydrostatic Force)

Ixx
y' = yc +
A ⋅ yc

(Location of line of action)

Ixy

x' = xc +
A ⋅ yc

Assumptions:

For a rectangular plate:

Liquid Concrete

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts at free surface
and on the outside of the form.
W⋅ H

Ixx =

t = 0.25 m

3

12

H=3m

y’
x’

Ixy = 0

xc = 2.5⋅ m yc = 1.5⋅ m
Integrating the hydrostatic pressure equation:
The density of concrete is:
ρ = 2.5 × 1000⋅

kg

p = ρ ⋅ g⋅ y

ρ = 2.5 × 10

3

m

W=5m

FR

3 kg
3

m

Therefore, the force is: FR = ρ⋅ g⋅ yc⋅ H⋅ W
Substituting in values gives us:

m
3 kg
× 9.81⋅ × 1.5⋅ m × 3⋅ m × 5⋅ m
3
2

FR = 2.5 × 10 ⋅

m

FR = 552⋅ kN

s

To find the line of action of the resultant force:
3

2

W⋅ H
H
y' = yc +
= yc +
12⋅ W⋅ H⋅ yc
12⋅ yc
Since Ixy = 0

it follows that x' = xc

y' = 1.5⋅ m +

( 3⋅ m)

2

12⋅ 1.5⋅ m

y' = 2.00 m

x' = 2.50⋅ m

Problem 3.58

Given:

[Difficulty: 4]

Window, in shape of isosceles triangle and hinged at the top is located in
the vertical wall of a form that contains concrete.
a  0.4 m b  0.3 m c  0.25 m SGc  2.5 (From Table A.1, App. A)

Find:

The minimum force applied at D needed to keep the window closed.
Plot the results over the range of concrete depth between 0 and a.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

 ρ g

FR 

Assumptions:



p dA



(Hydrostatic Force on door)



y' FR   y p dA


(First moment of force)

ΣM  0

(Rotational equilibrium)

b

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts at free surface and on the
outside of the window.

Integrating the pressure equation yields: p  ρ g ( h  d)
p0

Summing moments around the hinge:

h

d
a

w

for h > d
for h < d
d  ac

where

FD 

(Hydrostatic Pressure - h is positive downwards)

 FD  a 

d  0.15 m

dA

D



h p dA  0



a
a
1 
1 
ρ g 

  h p dA    h ρ  g ( h  d )  w dh 
  h ( h  d)  w dh
a 
a d
a d

From the law of similar triangles:

w
b



ah
a

h
Therefore: w 

b
a

a

( a  h)

dF = pdA

FD

a

a
ρ g 
b
ρ  g b   3
2
  h  ( a  d)  h  a d h dh
FD 

 h ( h  d)  ( a  h) dh 
2 
a  a
d
a
d

Into the expression for the force at D:
Evaluating this integral we get:

FD 













4
4
3
3
2
2
ρ  g b  a  d
( a  d)  a  d
a d a  d 

 


2 
4
3
2

a

4
2 1 
 d  1 
FD  ρ g b a    1        1 
 4  a  3 

The density of the concrete is:

and after collecting terms:

3
2
d    d   1 d   d  




1





1

 
  
a    a   2 a   a  

ρ  2.5  1000

kg
3

ρ  2.5  10

m

3 kg
3

m

( 1)

d
a



0.15
0.4

 0.375

Substituting in values for the force at D:
2
m
1
0.375 
3 kg
2 1
4
3
2  N s
 9.81  0.3 m ( 0.4 m)    1  ( 0.375)    ( 1  0.375)  1  ( 0.375)  
 1  ( 0.375)  
3
2
3
2
 4
 kg m

FD  2.5  10 

m

s

To plot the results for different values of c/a, we use Eq. (1) and remember that

Therefore, it follows that

d
a

 1

c

d  ac

FD  32.9 N

In addition, we can maximize the force by the maximum force

a

(when c = a or d = 0):
2

2

 1  1   ρ  g b a

12
 4 3

Fmax  ρ g b a   

and so

 1   d  4 1  d    d  3 1 d   d  2
 12   1        1    1        1    
Fmax
 4   a   3  a    a   2 a   a  
FD

1.0

Force Ratio (FD/Fmax)

0.8

0.6

0.4

0.2

0.0
0.0

0.5
Concrete Depth Ratio (c/a)

1.0

Problem 3.59

[Difficulty: 2]

Given:

Door as shown; Data from Example 3.6.

Find:

Force to keep door shut using the two seperate pressures method.

Solution:

We will apply the computing equations to this system.

F R  pc  A

Governing Equations:
p0

3

Ixx
y'  yc 
yc A

bL
Ixx 
12

p0
h1 ’
h2 ’
F1
F2

F 1  p0 A

F1  100

lbf
ft

2

 3 ft  2 ft

F2  pc A  ρ g hc L b  γ hc L b

F1  600 lbf
F2  100

lbf
ft

For the rectangular door

1
3
Ixx 
 b L
12
2
Ixx
1 L
h'2  hc 
 hc 

b L  hc
12 hc

x'  1 ft

z'  1.5 ft

 1.5 ft  3 ft  2 ft

3

F2  900 lbf

2

h'2  1.5 m 

1 ( 3 m)

12 1.5 m

h'2  2 m

The free body diagram of the door is then

h1’
h2’
F1





ΣMAx  0  L Ft  F1 L  h'1  F2 L  h'2

L

 h'1 
 h'2 
Ft  F1  1 
  F2  1  
L 
L 



F2
Az



Ft

Ay




Ft  600 lbf   1 

1.5 

 2
  900 lbf   1  
3 
 3



Ft  600 lbf

Problem 3.60

Given:

[Difficulty: 2]

γ = 62.4⋅

Plug is used to seal a conduit.

lbf
ft

3

Find:

Magnitude, direction and location of the force of water on the plug.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

Assumptions:

=γ

(Hydrostatic Pressure - y is positive downwards)

F R = pc ⋅ A

(Hydrostatic Force)

Ixx
y' = yc +
A ⋅ yc

(Location of line of action)

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts on the outside of the plug.

Integrating the hydrostatic pressure equation:

π 2
FR = pc⋅ A = γ⋅ hc⋅ ⋅ D
4

p = γ⋅ h

FR = 62.4⋅

lbf
ft

π
For a circular area:

⋅D

4

3

× 12⋅ ft ×

π
4

× ( 6⋅ ft)

2

2

π 4
64
D
Ixx =
⋅ D Therefore: y' = yc +
= yc +
64
π 2
16⋅ yc
⋅ D ⋅ yc
4

y' = 12⋅ ft +

4

FR = 2.12 × 10 ⋅ lbf

( 6⋅ ft)

2

16 × 12⋅ ft

y' = 12.19⋅ ft
The force of water is to the right and
perpendicular to the plug.

Problem 3.61

Given:

Description of car tire

Find:

Explanation of lift effect

[Difficulty: 1]

Solution:
The explanation is as follows: It is true that the pressure in the entire tire is the same everywhere. However, the tire at the top of the hub
will be essentially circular in cross-section, but at the bottom, where the tire meets the ground, the cross section will be approximately a
flattened circle, or elliptical. Hence we can explain that the lower cross section has greater upward force than the upper cross section has
downward force (providing enough lift to keep the car up) two ways. First, the horizontal projected area of the lower ellipse is larger than
that of the upper circular cross section, so that net pressure times area is upwards. Second, any time you have an elliptical cross section
that's at high pressure, that pressure will always try to force the ellipse to be circular (thing of a round inflated balloon - if you squeeze it it
will resist!). This analysis ignores the stiffness of the tire rubber, which also provides a little lift.

Problem 3.62

Given:

[Difficulty: 2]

Circular access port of known diameter in side of water standpipe of
known diameter. Port is held in place by eight bolts evenly spaced
around the circumference of the port.
Center of the port is located at a know distance below the free surface of
the water.
d  0.6 m D  7 m L  12 m

Find:

(a) Total force on the port
(b) Appropriate bolt diameter

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp

 ρ g

dh

(Hydrostatic Pressure - y is positive downwards)

FR  pc A
F
σ
A

Assumptions:

(Hydrostatic Force)

h

(Normal Stress in bolt)

L

(1) Static fluid
(2) Incompressible fluid
(3) Force is distributed evenly over all bolts
(4) Appropriate working stress in bolts is 100 MPa
(5) Atmospheric pressure acts at free surface of water and on
outside of port.

D

p  ρ  g h

Integrating the hydrostatic pressure equation:
The resultant force on the port is:

d

π 2
FR  pc A  ρ g L  d
4

FR  999

kg
3

 9.81

m

m
2

 12 m 

π

s

4

2

 ( 0.6 m) 

2

N s

kg m
FR  33.3 kN

To find the bolt diameter we consider:

2

Therefore: 2 π db 

FR
σ

σ

FR
A

where A is the area of all of the bolts:

Solving for the bolt diameter we get:

 1
3
db  
 33.3  10  N 
2 π


 FR 

 2 π σ 

A  8

π
4

2

 db  2 π  db

2

1
2

db  

1
100  10



2
m 

6 N




1
2

3



10  mm
m

db  7.28 mm

Problem 3.63

Given:

Geometry of rectangular gate

Find:

Depth for gate to open

[Difficulty: 3]

Solution:
Basic equation

Computing equations

L
dp
dh

 ρ g

FR  pc A

y’

D

ΣMz  0
Ixx
y'  yc 
A  yc

Ixx 

b D

3

F1

12

F2

Assumptions: Static fluid; ρ = constant; patm on other side; no friction in hinge
For incompressible fluid

p  ρ  g h

where p is gage pressure and h is measured downwards

The force on the vertical gate (gate 1) is the same as that on a rectangle of size h = D and width w
Hence

D
ρ  g w  D
F1  pc A  ρ g yc A  ρ g  D w 
2
2

The location of this force is

3
Ixx
D w D
1
2
2
y'  yc 




 D
12
w D D
A  yc
2
3

2

The force on the horizontal gate (gate 2) is due to constant pressure, and is at the centroid
F 2  p ( y  D )  A  ρ  g D  w  L
Summing moments about the hinge

L
2 
L

ΣMhinge  0  F1 ( D  y')  F2  F1  D   D  F2
2
3 
2

F 1

D
3



ρ  g w  D
2

2



D

L
L
 F2  ρ g D w L
3
2
2

3

ρ  g w  D
ρ  g D  w  L

6
2
D 

3 L 

D  8.66 ft

3  5ft

2

Problem 3.64

Given:

[Difficulty: 3]

Gate AOC, hinged along O, has known width;
Weight of gate may be neglected. Gate is sealed at C.
b = 6⋅ ft

Find:

Force in bar AB

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

Assumptions:

= ρ⋅ g

(Hydrostatic Pressure - h is positive downwards)

FR = pc⋅ A

(Hydrostatic Force)

Ixx
y' = yc +
A ⋅ yc

(Location of line of action)

ΣMz = 0

(Rotational equilibrium)

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts at free surface of water and on
outside of gate
(4) No resisting moment in hinge at O
(5) No vertical resisting force at C

FAB
L1
h1 ’
L1

p = ρ ⋅ g⋅ h

Integrating the hydrostatic pressure equation:

F1

L2

The free body diagram of the gate is shown here:
F1 is the resultant of the distributed force on AO
F2 is the resultant of the distributed force on OC

x2’

FAB is the force of the bar
Cx is the sealing force at C
First find the force on AO:
F1 = 1.94⋅

slug
ft

3

× 32.2⋅

ft
2

s

F1 = pc ⋅ A1 = ρ⋅ g⋅ hc1⋅ b ⋅ L1
2

× 6⋅ ft × 6⋅ ft × 12⋅ ft ×

lbf⋅ s

slugft
⋅

F1 = 27.0⋅ kip

F2

b⋅ L 1

Ixx

3

L1

2

h'1 = hc1 +
= hc1 +
= hc1 +
A⋅ hc1
12⋅ b⋅ L1⋅ hc1
12⋅ hc1

Next find the force on OC:

F2 = 1.94⋅

slug
ft

3

× 32.2⋅

ft
2

h'1 = 6⋅ ft +

( 12⋅ ft)

2

12 × 6⋅ ft

h'1 = 8⋅ ft

2

× 12⋅ ft × 6⋅ ft × 6⋅ ft ×

s

lbf ⋅ s

slug⋅ ft

Since the pressure is uniform over OC, the force acts at the centroid of OC, i.e.,

(

)

(

F2 = 27.0⋅ kip

)

FAB⋅ L1 + L3 − F1⋅ L1 − h'1 + F2⋅ x'2 = 0

Summing moments about the hinge gives:

FAB

x'2 = 3⋅ ft

L1
h1 ’
L1

Solving for the force in the bar:

Substituting in values:

FAB =

FAB =

1
12⋅ ft + 3⋅ ft

FAB = 1800⋅ lbf

(

)

F1⋅ L1 − h'1 − F2⋅ x'2

F1

L2

L1 + L3
3
3
⋅ ⎡⎣27.0 × 10 ⋅ lbf × ( 12⋅ ft − 8⋅ ft) − 27.0 × 10 ⋅ lbf × 3⋅ ft⎤⎦

Thus bar AB is in compression

x2’

F2

Problem 3.65

Given:

[Difficulty: 3]

Gate shown with fixed width, bass of gate is negligible.
Gate is in equilibrium.
b = 3⋅ m

Find:

Water depth, d

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

Assumptions:

= ρ⋅ g

(Hydrostatic Pressure - h is positive downwards)

FR = pc⋅ A

(Hydrostatic Force)

Ixx
y' = yc +
A ⋅ yc

(Location of line of action)

ΣMz = 0

(Rotational equilibrium)

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts at free surface of water and on
outside of gate

M
h

p = ρ ⋅ g⋅ h

Integrating the hydrostatic pressure equation:

FR = pc⋅ A = ρ⋅ g⋅ hc⋅ A

hc =

d

A = b⋅

2

d

y
d

l

sin ( θ)
L

2

ρ ⋅ g⋅ b⋅ d
Therefore, FR =
2⋅ sin ( θ)

To find the line of application of this force:

θ

3

Ixx
y' = yc +
A ⋅ yc

Since

3

b⋅ l
and
Ixx =
12

A = b⋅ l it follows that

2

b⋅ l
l
y' = yc +
= yc +
12⋅ b⋅ l⋅ yc
12⋅ yc

where l is the length of the gate in contact with the water (as seen in diagram)

l=

l and d are related through:

d

l
d
Therefore, yc =
and
=
sin ( θ)
2
2⋅ sin ( θ)

y' =

d
2⋅ sin ( θ)

d

+

2

( sin ( θ) )

2

⋅

2⋅ sin ( θ)
12⋅ d

The free body diagram of the gate is shown here:

=

2⋅ d
3⋅ sin ( θ)

T

y
d

FR

y’

Summing moments about the hinge gives:
T⋅ L − ( l − y') ⋅ FR = 0
Solving for l:

l=

d
sin ( θ)

=

M⋅ g⋅ L
FR

where T = M⋅ g

+ y'

⎛ 2⋅ M⋅ g⋅ L ⋅ sin ( θ) + 2⋅ d ⎞ ⋅ sin ( θ) or
d=⎜
2
3⋅ sin ( θ) ⎟
⎝ ρ ⋅ g⋅ b⋅ d
⎠

Solving for d:

⎡ 6⋅ M⋅ L ⋅ ( sin ( θ) ) 2⎤
⎥
⎣ ρ⋅ b
⎦

d=⎢

θ

So upon further substitution we get:

d
3

=

2⋅ M⋅ L⋅ ( sin ( θ) )
ρ ⋅ b⋅ d

Ahoriz
A vertical

2

2

1
3

Substituting in values:

⎡

d = ⎢6 × 2500⋅ kg × 5⋅ m ×

⎣

d = 2.66 m

1

3

⋅

m

999 kg

×

1
3m

2⎤

× ( sin ( 60⋅ deg) ) ⎥

⎦

1
3

Problem 3.66

Given:

Geometry of gate

Find:

Force at A to hold gate closed

[Difficulty: 3]

y
h

Solution:
Basic equation

Computing equations

D

y’

dp
dh

 ρ g

ΣMz  0

FR  pc A

FR

Ixx
y'  yc 
A  yc

Ixx 

w L

FA

3

12

Assumptions: Static fluid; ρ = constant; patm on other side; no friction in hinge
For incompressible fluid

p  ρ  g h

where p is gage pressure and h is measured downwards

The hydrostatic force on the gate is that on a rectangle of size L and width w.
Hence

L


FR  pc A  ρ g hc A  ρ g  D   sin ( 30 deg)  L w
2


FR  1000

kg
3

 9.81

m

m
2

s




  1.5 

3
2

2




sin ( 30 deg)  m  3 m  3 m 

N s

kg m

FR  199 kN

Ixx
where y' and y are measured along the plane of the gate to the free surface
The location of this force is given by y'  yc 
A  yc
c
yc 

D
sin ( 30 deg)



L
2

yc 

1.5 m
sin ( 30 deg)



3 m
2

yc  4.5 m

3
2
2
Ixx
w L
1 1
L
( 3 m)
y'  yc 
 yc 


 yc 
 4.5 m 
A  yc
12 w L yc
12 yc
12 4.5 m

Taking moments about the hinge

y'  4.67 m

D

  F L
ΣMH  0  FR  y' 
 A
sin
(
30

deg
)


D
 y' 



sin ( 30 deg) 

FA  FR 
L

1.5
 4.67 



sin ( 30 deg) 

FA  199 kN
3

FA  111 kN

Problem 3.67

Given:

Block hinged and floating

Find:

SG of the wood

[Difficulty: 3]

Solution:
dp

Basic equation

dh

 ρ g

ΣMz  0
Ixx
y'  yc 
A  yc

FR  pc A

Computing equations

Assumptions: Static fluid; ρ = constant; patm on other side; no friction in hinge
p  ρ  g h

For incompressible fluid

where p is gage pressure and h is measured downwards

The force on the vertical section is the same as that on a rectangle of height d and width L

Hence
d
ρ  g L  d
F1  pc A  ρ g yc A  ρ g  d L 
2
2

2

Mg
y’
y

The location of this force is

F1
3

Ixx
d L d
1
2
2
y'  yc 
 

  d
A  yc
2
12
L d d
3

x
F2

The force on the horizontal section is due to constant pressure, and is at the centroid
F2  p ( y  d)  A  ρ g d L L
Summing moments about the hinge

L
L
ΣMhinge  0  F1 ( d  y')  F2  M g
2
2

Hence

F 1  d 




SG ρ g L
2

4



ρ g L d
2

2



d
3

2 L

 ρ  g d L 

2

2 
L
3 L
 d  F2  SG ρ L  g
3 
2
2
3

SG 

1  d
d
  
3  L
L

3

SG 

1  0.5 
0.5

 
3  1 
1

SG  0.542

Problem 3.68

[Difficulty: 4]

Given:

Various dam cross-sections

Find:

Which requires the least concrete; plot cross-section area A as a function of α

Solution:
For each case, the dam width b has to be large enough so that the weight of the dam exerts enough moment to balance the
moment due to fluid hydrostatic force(s). By doing a moment balance this value of b can be found
a) Rectangular dam
Straightforward application of the computing equations of Section 3-5 yields
D
1
2
FH = p c ⋅ A = ρ⋅ g ⋅ ⋅ w⋅ D = ⋅ ρ⋅ g ⋅ D ⋅ w
2
2
D

3
Ixx
D
2
w⋅ D
y' = y c +
=
+
= ⋅D
A⋅ y c
2
3
D
12⋅ w⋅ D⋅
2

so
Also

y = D − y' =

FH
y

mg

O

D

b

3

m = ρcement⋅ g ⋅ b ⋅ D⋅ w = SG ⋅ ρ⋅ g ⋅ b ⋅ D⋅ w

Taking moments about O

∑ M0. = 0 = −FH⋅y + 2 ⋅m⋅g

so

⎛ 1 ⋅ ρ⋅ g⋅ D2⋅ w⎞ ⋅ D = b ⋅ ( SG⋅ ρ⋅ g ⋅ b⋅ D⋅ w)
⎜2
⎝
⎠ 3 2

Solving for b

b=

The minimum rectangular cross-section area is

A = b⋅ D =

For concrete, from Table A.1, SG = 2.4, so

A=

b

D
3 ⋅ SG
2

D

3 ⋅ SG

2

D

3 ⋅ SG

2

=

D

3 × 2.4

2

A = 0.373 ⋅ D

b) Triangular dams
FV
D

Instead of analysing right-triangles, a general analysis is made, at the end of
which right triangles are analysed as special cases by setting α = 0 or 1.

x

FH

Straightforward application of the computing equations of Section 3-5 yields

y

m 1g

m 2g
O

D
1
2
FH = p c⋅ A = ρ⋅ g ⋅ ⋅ w⋅ D = ⋅ ρ⋅ g ⋅ D ⋅ w
2
2

αb

b

3
Ixx
w⋅ D
D
2
y' = y c +
=
+
= ⋅D
A⋅ y c
D
2
3
12⋅ w⋅ D⋅
2

so

Also

y = D − y' =

D
3

FV = ρ⋅ V⋅ g = ρ⋅ g ⋅

α⋅ b ⋅ D
2

⋅w =

1
2

⋅ ρ⋅ g ⋅ α⋅ b ⋅ D⋅ w

x = ( b − α⋅ b ) +

2
3

⋅ α⋅ b = b ⋅ ⎛⎜ 1 −

α⎞

⎝

3⎠

For the two triangular masses
1
m1 = ⋅ SG ⋅ ρ⋅ g ⋅ α⋅ b ⋅ D⋅ w
2

x 1 = ( b − α⋅ b ) +

1
m2 = ⋅ SG ⋅ ρ⋅ g ⋅ ( 1 − α) ⋅ b ⋅ D⋅ w
2

x2 =

2
3

1
3

⋅ α⋅ b = b ⋅ ⎛⎜ 1 −

⎝

2⋅ α ⎞

⋅ b ( 1 − α)

Taking moments about O

∑ M0. = 0 = −FH⋅y + FV⋅x + m1⋅g⋅x1 + m2⋅g⋅x2
so

Solving for b

1
1
D
α
2
−⎛⎜ ⋅ ρ⋅ g ⋅ D ⋅ w⎞ ⋅ + ⎛⎜ ⋅ ρ⋅ g ⋅ α⋅ b ⋅ D⋅ w⎞ ⋅ b ⋅ ⎛⎜ 1 − ⎞ ...
3⎠
⎝2
⎠ 3 ⎝2
⎠ ⎝
2⋅ α ⎞ ⎡ 1
2
1
⎞
⎛
⎛
+ ⎜ ⋅ SG ⋅ ρ⋅ g ⋅ α⋅ b ⋅ D⋅ w ⋅ b ⋅ ⎜ 1 −
+ ⎢ ⋅ SG ⋅ ρ⋅ g ⋅ ( 1 − α) ⋅ b ⋅ D⋅ w⎥⎤ ⋅ ⋅ b ( 1 − α)
3
2
2
⎝
⎠ ⎝
⎠ ⎣
⎦ 3
b=

D

(3⋅α − α2) + SG⋅(2 − α)

For a right triangle with the hypotenuse in contact with the water, α = 1 ,
b=

The cross-section area is

=0

D
3 − 1 + SG

=

D

b = 0.477 ⋅ D

3 − 1 + 2.4
A=

b⋅ D
2

and

2

= 0.238 ⋅ D

For a right triangle with the vertical in contact with the water, α = 0, and

2

A = 0.238 ⋅ D

3

⎠

b=

A=

The cross-section area is

A=

For a general triangle

D
2 ⋅ SG
b⋅ D
2
b⋅ D
2

D

=

b = 0.456 ⋅ D

2 ⋅ 2.4
2

2

= 0.228 ⋅ D

A = 0.228 ⋅ D
2

2

D

=

(3⋅α − α2) + SG⋅(2 − α)

2⋅

D

A=
2⋅

(3⋅α − α2) + 2.4⋅(2 − α)

2

D

A=

The final result is

2

2 ⋅ 4.8 + 0.6⋅ α − α
The dimensionless area, A /D 2, is plotted

A /D 2
0.2282
0.2270
0.2263
0.2261
0.2263
0.2270
0.2282
0.2299
0.2321
0.2349
0.2384

Dam Cross Section vs Coefficient
Dimensionless Area A /D 2

Alpha
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0

0.240
0.238
0.236
0.234
0.232
0.230
0.228
0.226

Solver can be used to
find the minimum area
Alpha
0.300

0.224
0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

Coefficient

A /D 2
0.2261

From the Excel workbook, the minimum area occurs at α = 0.3
2

Amin =

D

2

A = 0.226 ⋅ D
2

2 ⋅ 4.8 + 0.6 × 0.3 − 0.3

The final results are that a triangular cross-section with α = 0.3 uses the least concrete; the next best is a right triangle with the
vertical in contact with the water; next is the right triangle with the hypotenuse in contact with the water; and the cross-section
requiring the most concrete is the rectangular cross-section.

1.0

Problem 3.69

Given:

Geometry of dam

Find:

Vertical force on dam

Assumption:

[Difficulty: 2]

Water is static and incompressible

Solution:
Basic equation:

For incompressible fluid

dp
dh

= ρ⋅ g

p = patm + ρ⋅ g⋅ h

where h is measured downwards from the free surface

The force on each horizontal section (depth d = 0.5 m and width w = 3 m) is

(

)

F = p⋅ A = patm + ρ⋅ g⋅ h ⋅ d⋅ w
Hence the total force is

(

) (

) (

) (

)

FT = ⎡patm + patm + ρ⋅ g⋅ h + patm + ρ⋅ g⋅ 2⋅ h + patm + ρ⋅ 3⋅ g⋅ h + patm + ρ⋅ g⋅ 4⋅ h ⎤ ⋅ d⋅ w
⎣
⎦

where we have used h as the height of the steps

(

FT = d⋅ w⋅ 5⋅ patm + 10⋅ ρ⋅ g⋅ h

⎛

)
2
kg
m
N⋅ s ⎟⎞
3 N
+ 10 × 999⋅
× 9.81⋅ × 0.5⋅ m ×
2
3
2
kg⋅ m ⎟

FT = 0.5⋅ m × 3⋅ m × ⎜ 5 × 101 × 10 ⋅

⎜
⎝

FT = 831⋅ kN

m

m

s

⎠

Problem 3.70

Given:

Geometry of dam

Find:

Vertical force on dam

Assumptions:

[Difficulty: 2]

(1) water is static and incompressible
(2) since we are asked for the force of the water, all pressures will be written as gage

Solution:
dp

Basic equation:

dh

 ρ g

p  ρ  g h

For incompressible fluid

where p is gage pressure and h is measured downwards from the free surface

The force on each horizontal section (depth d and width w) is
F  p  A  ρ  g h d w

(Note that d and w will change in terms of x and y for each section of the dam!)

Hence the total force is (allowing for the fact that some faces experience an upwards (negative) force)
F T  p A  Σ ρ  g h d w  ρ  g d Σ h w
Starting with the top and working downwards

FT  1.94

slug
ft

3

 32.2

ft
2

s
4

FT  2.70  10  lbf

2

 3 ft  [ ( 3 ft  12 ft)  ( 3 ft  6 ft)  ( 9 ft  6 ft)  ( 12 ft  12 ft) ] 

lbf  s

slug ft

The negative sign indicates a net upwards force (it's actually a buoyancy effect on the three middle sections)

Problem 3.71

Given:

[Difficulty: 3]

Parabolic gate, hinged at O has a constant width.
2

b  1.5 m a  1.0 m

D  1.2 m H  1.4 m

Find:

(a) Magnitude and moment of the vertical force on the gate due to water
(b) Horizontal force applied at A required to maintain equilibrium

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

 ρ g

(Hydrostatic Pressure - h is positive downwards)

ΣMz  0
Fv 

Assumptions:

(Rotational equilibrium)



p dA y



(Vertical Hydrostatic Force)

x' Fv 



x dF v



(Moment of vertical force)

y' FH 



y dF H



(Moment of Horizontal Hydrostatic Force)

y

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts at free surface of water
and on outside of gate

Integrating the hydrostatic pressure equation:

FA

x’
FV

p  ρ  g h

FH
(a) The magnitude and moment of the vertical component of hydrostatic force:

Ox

y’
x

Oy



3
2


Fv 
p dA y 
ρ g h b dx where h  D  y x  a y dx  3 a y  dy




D

Substituting back into the relation for the force:

D



2
Fv   ρ g ( D  y)  b 3 a y dy  3 ρ g b a 
0
0

4
 D4 D4 
D
  ρ g b a
Evaluating the integral: Fv  3 ρ g b a 

4 
4
 3

H

D y2  y3 dy

y

Substituting values we calculate the force:

Fv  999

kg

 9.81

3

m

m

 1.5 m  1.0

2

s

1
2



( 1.2 m)

4

2



4

m

FA

x’

N s

FH
Fv  7.62 kN




x' Fv   x dFv   x p dAy



D

D


3
2
2 
x' Fv   a y  ρ g ( D  y)  b 3 a y dy  3 ρ g a  b 
0
0

 D7

2

x' Fv  3 ρ g a  b 

 6

kg

x'Fv  999

3

 9.81

m

7
D 

2

m
2

s

D y5  y6 dy
D

3

7

x

Using the derivation for the force:

Evaluating the integral:

7

   ρ g a2 b D7  ρ g a2 b
7 
42
14



y’

Oy

Ox

To find the associated moment:

H

FV

kg m

Now substituting values into this equation:

2

 1.0   1.5 m  ( 1.20 m)  N s
2
14
kg m
m 

x'Fv  3.76 kN m



(positive indicates
counterclockwise)

(b) Horizontal force at A to maintain equilibrium: we take moments at O:

x' FV  y' FH  H FA  0

Solving for the force at A:

FA 

1
H



 x' Fv  y' FH



To get the moment of the horizontal hydrostatic force:

y' FH 

D
D





2



y dF H 
y p dA x 
y ρ g h b dy  ρ g b  y ( D  y) dy  ρ g b  D y  y dy








0
0



D D 
D
  ρ g b
Evaluating the integral: y' FH  ρ g b 

3
6
2


3

y'FH  999

kg
3

 9.81

m

Therefore:

FA 

m
2

 1.5 m 

s

1



1

1.4 m

( 1.20 m)
6

3

3



3

Now substituting values into this equation:

2



N s

kg m

 ( 3.76 kN m  4.23 kN m)

y'FH  4.23 kN m (counterclockwise)

FA  5.71 kN

Problem 3.72

Given:

[Difficulty: 3]

Parabolic gate, hinged at O has a constant width.
1

b  2 m c  0.25 m

D  2 m H  3 m

Find:

(a) Magnitude and line of action of the vertical force on the gate due to water
(b) Horizontal force applied at A required to maintain equilibrium
(c) Vertical force applied at A required to maintain equilibrium

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

 ρ g

(Hydrostatic Pressure - h is positive downwards)

ΣMz  0
Fv 

Assumptions:

(Rotational equilibrium)



p dA y



(Vertical Hydrostatic Force)



x' Fv   x dFv


(Location of line of action)

F H  pc  A

(Horizontal Hydrostatic Force)

Ixx
h'  hc 
A  hc

(Location of line of action)

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts at free surface of water and on
outside of gate

Integrating the hydrostatic pressure equation:



Fv  


x’

h’

FH

p  ρ g h
Ox

(a) The magnitude and line of action of the vertical component of hydrostatic force:
D

y

D

D

D



( 1)



B

x

Oy

 c
 c
 c
 c




2
p dA y  
ρ g h  b dx  
ρ g ( D  y) b dx  
ρ g D  c x b dx  ρ g b  
0
0
0
0

3
3
 3
 2

2
2
D
1 D 
2 ρ g b D
Evaluating the integral: Fv  ρ g b  
 


1
 1 3 1
3
 2

2
2
c 
c
c

FV

 D  c x2 dx

2

Fv 

Substituting values:

3

kg

 999

3

 9.81

m

2

1
2

2

 1  m  N s

kg m
 0.25 

 2 m  ( 2 m)  

s

x' Fv 

To find the line of action of this force:

m

3
2


1 
1 



x dFv Therefore, x' 

x dF v 

x p dA y


Fv 
Fv 


D

Using the derivation for the force:

x'  999

kg
3

m

 9.81

m
2

D

 c
 c
1 
ρ  g b 
2
3
x' 

x ρ g D  c x  b dx 

D x  c x dx
Fv 0
Fv 0







2
2
ρ  g b D
ρ  g b  D D c  D  
      

Fv  2 c 4  c  
F v 4 c

Evaluating the integral: x' 

 2 m 

1



73.9  10

s

Fv  73.9 kN

1

3 N



1
4

Now substituting values into this equation:
2

1

2

 ( 2 m) 



m 

0.25

N s

x'  1.061 m

kg m

To find the required force at A for equilibrium, we need to find the horizontal force of the water on the gate and its
line of action as well. Once this force is known we take moments about the hinge (point O).
2

D
D
FH  pc A  ρ g hc b D  ρ g  b D  ρ g b
2
2
FH  999

kg
3

 9.81

m

m
2

 2 m 

s

hc 

since

( 2 m)

2

2

D
2

Therefore the horizontal force is:

2



N s

FH  39.2 kN

kg m

To calculate the line of action of this force:
3
Ixx
D b D
D D
2
1 2
h'  hc 



 

 D
2
2
3
12 b D D
6
A  hc

h' 

2
 2 m
3

h'  1.333 m

y

Now we have information to solve parts (b) and (c):
(b) Horizontal force applied at A for equilibrium: take moments about O:

FA H  Fv x'  FH ( D  h')  0

Solving for FA

FA 

Fv x'  FH ( D  h')

D

h’

FH

H

FV

H

1 1
  [ 73.9 kN  1.061 m  39.2 kN  ( 2 m  1.333 m) ]
3 m

x

Oy

Ox
FA 

FA

x’

FA  34.9 kN

(c) Vertical force applied at A for equilibrium: take moments about O:
FA L  Fv x'  FH ( D  h')  0

Solving for FA

FA 

y

Fv x'  FH ( D  h')
L
D

L is the value of x at y = H. Therefore: L 

FA 

H
c

L 

3 m 

1
0.25

L
x’

h’

FH

 m L  3.464 m

1
1
  [ 73.9 kN  1.061 m  39.2 kN  ( 2 m  1.333 m) ]
3.464 m

Ox

FA  30.2 kN

Oy

FA

FV
x

Problem 3.73

[Difficulty: 2]

Given:

Liquid concrete is poured into the form shown
R = 2⋅ ft w = 15⋅ ft SGc = 2.5 (Table A.1, App. A)

Find:

Magnitude and line of action of the vertical force on the form

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

= ρ⋅ g

Fv =

⌠
⎮
p dA y
⎮
⌡

x'⋅ Fv =

Assumptions:

(Vertical Hydrostatic Force)

⌠
⎮
x dF v
⎮
⌡

(Moment of vertical force)

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts at free surface of concrete
and on outside of gate
p = ρ ⋅ g⋅ h

Integrating the hydrostatic pressure equation:

Fv =

(Hydrostatic Pressure - h is positive downwards)

⌠
⌠
⎮
⎮
p dA y =
ρ⋅ g⋅ h⋅ sin ( θ) dA
⎮
⎮
⌡
⌡

where

dA = w⋅ R⋅ dθ

and

π
⌠2

h = R − y = R − R⋅ sin ( θ)

π
⌠2

⎮
2⎮
2
Therefore, Fv = ⎮ ρ⋅ g⋅ ( R − R⋅ sin ( θ) ) ⋅ w⋅ R⋅ sin ( θ) dθ = ρ⋅ g⋅ w⋅ R ⋅ ⎮ ⎡⎣sin ( θ) − ( sin ( θ) ) ⎤⎦ dθ
⌡0
⌡0
Evaluating the integral:

The density of concrete is:

2

⎡
⎣

⎛ π − 0⎞ + ( 0 − 0)⎤ = ρ⋅ g⋅ w⋅ R2⋅ ⎛ 1 − π ⎞
⎟
⎥
⎜
⎟
4⎠
⎝4
⎠
⎦
⎝

Fv = ρ⋅ g⋅ w⋅ R ⋅ ⎢−( 0 − 1) − ⎜
ρ = 2.5 × 1.94⋅

slug
ft

Substituting values we calculate the force:

ρ = 4.85⋅

3

Fv = 4.85⋅

ft
slug
ft

To find the line of action:

x'⋅ Fv =

slug

3

⌠
⌠
⎮
⎮
x dF v =
x⋅ p dAy
⎮
⎮
⌡
⌡

× 32.2⋅

ft
2

s

3
2

⎛
⎝

× 15⋅ ft × ( 2⋅ ft) × ⎜ 1 −

π⎞

2

lbf⋅ s

⎟×
4 ⎠ slugft
⋅

Using the derivation for the force:

Fv = 2011⋅ lbf

π
⌠2

x'⋅ Fv =

⌠
3⎮
2
⎮
R⋅ cos ( θ) ⋅ ρ⋅ g⋅ ( R − R⋅ sin ( θ) ) ⋅ w⋅ R⋅ sin ( θ) dθ = ρ⋅ g⋅ w⋅ R ⋅ ⎮ ⎡⎣sin ( θ) ⋅ cos ( θ) − ( sin ( θ) ) ⋅ cos ( θ)⎤⎦ dθ
⎮
⌡
⌡
0

Evaluating the integral:

x' =

x'⋅ Fv
Fv

ρ ⋅ g⋅ w ⋅
=

R

Therefore the line of action of the force is:

3

6

⎛
ρ ⋅ g⋅ w ⋅ R ⋅ ⎜ 1 − ⎟
4⎠
⎝
2

3

R
1⎞
− ⎟ = ρ ⋅ g⋅ w ⋅
2
3
6
⎝
⎠

3 ⎛1

x'⋅ Fv = ρ⋅ g⋅ w⋅ R ⋅ ⎜

π⎞

=

R
π⎞

⎛
6⋅ ⎜ 1 − ⎟
4⎠
⎝

Substituting values:

x' =

2⋅ ft

⎛
6⋅ ⎜ 1 −
⎝

π⎞

⎟

4⎠

x' = 1.553⋅ ft

Problem 3.74

[Difficulty: 2]

Given:

Open tank as shown. Width of curved surface b = 10⋅ ft

Find:

(a) Magnitude of the vertical force component on the curved surface
(b) Line of action of the vertical component of the force

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

=γ

Fv = −

⌠
⎮
p dA y
⎮
⌡

x’

(Vertical Hydrostatic Force)

⌠
⎮
x dF v
⎮
⌡

x'⋅ Fv =

Assumptions:

(Hydrostatic Pressure - h is positive downwards)

FRy
y

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts at free surface of water
and on outside of wall
p = γ⋅ h

Integrating the hydrostatic pressure equation:

L

(Moment of vertical force)

x

(

dAy = b ⋅ dx

We also define the incremental area on the curved surface as:

2

2

h = L− R −x

We can define along the surface

)

1
2

Substituting these into the force equation we get:

R

Fv = −

⌠
⎮
⎮
⌡

⌠
1⎤
⎡⎢
⎮
⎥
R
2
⎮
⌠
2
2 ⎥
⎢
L−
p dAy = −⎮ γ⋅ ⎣L − R − x ⎦ ⋅ b dx = −γ⋅ b ⋅ ⎮
⌡0
⌡0

(

(

)

lbf
π ⎞⎤
⎡
⎛
Fv = −⎢62.4⋅
× 10⋅ ft × 4⋅ ft × ⎜ 10⋅ ft − 4⋅ ft × ⎟⎥
3
4⎠
⎝
ft
⎣
⎦
To find the line of action of the force:

Therefore:

x' =

x'⋅ Fv
Fv

Evaluating the integral:

Substituting known values:

x'⋅ Fv =

⌠
⎮
x dF v
⎮
⌡

⎛
γ ⋅ b ⋅ R⋅ ⎜ L − R⋅ ⎟
4⎠
⎝
x' =

)

⎛
⎝

3

R

=

2

Fv = −17.12 × 10 ⋅ lbf

(

dFv = −γ⋅ b ⋅ L −

where

(

⌠
⋅ ⎮ x⋅ γ⋅ b ⋅ L −
π ⎞ ⌡0

1

2

R − x dx = − γ ⋅ b ⋅ R ⋅ ⎜ L − R ⋅

R

2

− x ) dx =

⎟

4⎠
(negative indicates downward)

2

2

)

R − x ⋅ dx
R

1

2

π⎞

⌠
⋅⎮
π ⎞ ⌡0

⎛
R⋅ ⎜ L − R⋅ ⎟
4⎠
⎝

( L⋅ x − x⋅

2

2

R −x

) dx

2

4⋅ R
4⋅ R
2 1 3⎞
⎛1
⎛L R⎞
⎛L R⎞
⋅ ⎜ ⋅ L⋅ R − ⋅ R ⎟ =
⋅⎜ − ⎟ =
⋅⎜ − ⎟
R ⋅ ( 4⋅ L − π ⋅ R ) ⎝ 2
3
⎠ R ⋅ ( 4 ⋅ L − π ⋅ R ) ⎝ 2 3 ⎠ 4⋅ L − π ⋅ R ⎝ 2 3 ⎠
4

x' =

4⋅ 4⋅ ft
⎛ 10⋅ ft − 4⋅ ft ⎞
⋅⎜
⎟
4⋅ 10⋅ ft − π⋅ 4⋅ ft ⎝ 2
3 ⎠

x' = 2.14⋅ ft

Problem 3.75

[Difficulty: 2]

Given:

Gate formed in the shape of a circular arc has width w. Liquid is water;
depth h = R

Find:

(a) Magnitude of the net vertical force component due to fluids acting on the gate
(b) Line of action of the vertical component of the force

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dy

= ρ⋅ g

Fv = −

⌠
⎮
p dA y
⎮
⌡

x'⋅ Fv =

Assumptions:

(Hydrostatic Pressure - y is positive downwards)

(Vertical Hydrostatic Force)

⌠
⎮
x dF v
⎮
⌡

(Moment of vertical force)

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts at free surface of water
and on outside of gate

Integrating the hydrostatic pressure equation:

p = ρ ⋅ g⋅ y

Instead of y, we use θ as our variable of integration:
Therefore, dy = R⋅ cos ( θ) ⋅ dθ

In addition,

y = R⋅ sin ( θ)

dAy = w⋅ R⋅ sin ( θ) ⋅ dθ

π

π

⌠2
⌠2
⎮
π
2 ⎮
2
2
Therefore, Fv = −⎮ ρ⋅ g⋅ R⋅ sin ( θ) ⋅ w⋅ R⋅ sin ( θ) dθ = −ρ⋅ g⋅ R ⋅ w⋅ ⎮ ( sin ( θ) ) dθ = −ρ⋅ g⋅ R ⋅ w⋅
⌡0
⌡0
4

2

Fv = −

π ⋅ ρ ⋅ g⋅ R ⋅ w
4

(negative indicates downward)
To find the line of action of the vertical component of the force:
2

2

dFv = −ρ⋅ g⋅ R ⋅ w⋅ ( sin ( θ) ) ⋅ dθ

x' =

x'⋅ Fv
Fv

=−

π
⌠2

4
2

π⋅ ρ⋅ g⋅ R ⋅ w

x'⋅ Fv =

⌠
⎮
x dFv where x = R⋅ cos ( θ) and the elemental force is
⎮
⌡

Substituting into the above integral yields:
π
⌠2

⎮
4⋅ R ⎮
4⋅ R 1
2
2
2
⋅ ⎮ −( R⋅ cos ( θ) ) ⋅ ⎡⎣ρ⋅ g⋅ R ⋅ w⋅ ( sin ( θ) ) ⎤⎦ dθ =
⋅ ⎮ ( sin ( θ) ) ⋅ cos ( θ) dθ =
⋅
⌡0
π ⌡0
π 3

x' =

4⋅ R
3⋅ π

Problem 3.76

[Difficulty: 3]

Given:

Dam with cross-section shown. Width of dam
b  160 ft

Find:

(a) Magnitude and line of action of the vertical force component on the dam
(b) If it is possible for the water to overturn dam

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

 ρ g

Fv 

(Hydrostatic Pressure - h is positive downwards from
free surface)



p dA y



(Vertical Hydrostatic Force)

FH  pc A

(Horizontal Hydrostatic Force)



x dF v


Ixx
h'  hc 
hc A
x' Fv 

(Moment of vertical force)
(Line of action of vertical force)

ΣMz  0

Assumptions:

y

(Rotational Equilibrium)

A
x’

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts at free surface of water
and on outside of dam

FV

B
Integrating the hydrostatic pressure equation:

y’

p  ρ  g h

x

x

Into the vertical force equation:

h’
FH

x

B
B




Fv   p dAy   ρ g h b dx  ρ g b  ( H  y) dx
x
x

A
A

From the definition of the dam contour:

x y  A y  B Therefore: y 

B
xA

and

xA 

10 ft
9 ft

2

 1 ft

xA  2.11 ft

xB


F v  ρ  g b  

x

Into the force equation:

A

Fv  1.94

slug
ft

3




ft

 32.2

2

s

x' 

Fv

1 


Fv 


xB

x' Fv 



x dFv where






dFv  ρ g b  H 
xB



 xB  A  
H xB  xA  B ln 
 xA
xA  A
1







5

x' 









 xB  A 



Fv  2.71  10  lbf

B 

  dx

x  A

Therefore:

 H x  B x  dx


x  A




 xB  A 
H  2
2
 xB  xA   B xB  xA  B A ln 


2 
xA  A



Evaluating the integral:

2

 7.0  1   lbf  s

 2.11  1  slug ft

2

B 

x ρ  g b   H 
 dx 
x

A


xA

Substituting known values:

 160 ft  9 ft  ( 7.0 ft  2.11 ft)  10 ft  ln 

To find the line of action of the force:

x' Fv

 H  B  dx  ρ g b H x  x  B ln xB  A 


  B A


x  A


 xA  A 

Substituting known values we get:

H xB  xA  B ln 
x
9 ft
x' 

2

2



2

2

2


 A  A
 71 

 2.11  1 

2

 7  2.11  ft  10 ft  ( 7  2.11)  ft  10 ft  1 ft  ln 

x'  4.96 ft

 71 

 2.11  1 

2

9 ft  ( 7  2.11)  ft  10 ft  ln 

To determine whether or not the water can overturn the dam, we need the horizontal force and its line of action:
H
ρ  g b H
FH  pc A  ρ g  H b 
2
2
FH 

Substituting values:

For the line of action:

Therefore: h' 

H
2



1
2

2

 1.94

ft

Ixx
h'  hc 
hc A
b H

3

12



slug
3

 32.2

ft

2

2

 160 ft  ( 9 ft) 

s

where

hc 

2 1
H H
2



 H
H b H
2
6
3

H

2
3

5

FH  4.05  10  lbf

slug ft

A  H b

2

h' 

2

lbf  s

Ixx 

 9 ft

b H

3

12

h'  6.00 ft

Taking moments of the hydrostatic forces about the origin:
Mw  FH ( H  h')  Fv x'

5

5

Mw  4.05  10  lbf  ( 9  6)  ft  2.71  10  lbf  4.96 ft

5

Mw  1.292  10  lbf  ft

The negative sign indicates that this is a clockwise moment about the origin. Since the weight of the dam will also contribute a clockwise
moment about the origin, these two moments should not cause the dam to tip to the left.
Therefore, the water can not overturn the dam.

Problem 3.77

[Difficulty: 3]

w  35 m

Given:

Tainter gate as shown

Find:

Force of the water acting on the gate

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

 ρ g

(Hydrostatic Pressure - h is positive downwards from
free surface)

dF  p  dA

Assumptions:

(Hydrostatic Force)

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts at free surface of water
and on outside of gate

Integrating the hydrostatic pressure equation:
p  ρ g h  ρ g R sin( θ)
Resolving the hydrostatic force into horizontal and vertical components:
dFH  dF cos ( θ)  p dA cos ( θ)  ρ g R sin ( θ)  w R dθ cos ( θ)

since

θ1


2
FH   ρ g R  w sin ( θ)  cos ( θ) dθ
0

Integrating this expression:
30 deg


F H  ρ  g R  w  
0
2

FH 

1
8

 999

kg
3

2

sin ( θ)  cos ( θ) dθ  ρ g R  w

 9.81

m

m
2

( sin ( 30 deg) )
2

10 m 
where θ1  asin 
  30 deg
 20 m 
2

2



30 deg

s

2

8

Substituting known values:

N s

7

FH  1.715  10  N

kg m

2

π
3


12
8



( sin ( θ) ) dθ  ρ g R  w 

2

2

dFv  dF sin ( θ)  p dA sin ( θ)  ρ g R  w ( sin ( θ) )  dθ

Substituting known values:

2

π
3
kg
m
N s
2

  999 3  9.81 2  ( 20 m)  35 m 
12
8
kg
m


m
s

Fv  

ρ  g R  w

2

2

 ( 20 m)  35 m 

Similarly, we can calculate the vertical component of the hydrostatic force:
2 
F v  ρ  g R  w  
0

dA  w R dθ

6

Fv  6.21  10  N

Now since the gate surface in contact with the water is a circular arc, all elements dF of the force, and hence the line of action of the resulta
must pass through the pivot. Thus:

Magnitude of the resultant force:
FR 

2

FH  Fv

2

FR 

1.715  107 N2  6.21  106 N2

7

FR  1.824  10 N

The line of action of the force:

 Fv 

 FH 

α  atan 

 6.21  106 N 

 1.715  107 N 



α  atan 

α  19.9 deg
The force passes through the pivot at an
angle α to the horizontal.

Problem 3.78

Given:

Gate geometry

Find:

Force on stop B

[Difficulty: 4]

x

y’

Solution:
Basic equations

4R/3π

R/2

D
FV

dp
dh

= ρ⋅ g

W1

A
R
FB

ΣMA = 0

WGate

FH

y

W2
x
Weights for computing FV

F1

Assumptions: static fluid; ρ = constant; patm on other side
p = ρ⋅ g⋅ h

For incompressible fluid

where p is gage pressure and h is measured downwards

We need to compute force (including location) due to water on curved surface and underneath. For curved surface we could integrate
pressure, but here we use the concepts that FV (see sketch) is equivalent to the weight of fluid above, and FH is equivalent to the force on
a vertical flat plate. Note that the sketch only shows forces that will be used to compute the moment at A

For FV

FV = W1 − W2

with

kg
m
N⋅ s
W1 = ρ⋅ g⋅ w⋅ D⋅ R = 1000⋅
× 9.81⋅ × 3⋅ m × 4.5⋅ m × 3⋅ m ×
3
2
kg⋅ m
m
s

2

W2 = ρ⋅ g⋅ w⋅

π⋅ R

2

4

= 1000⋅

397
189

×

3⋅ m
2

m
2

× 3⋅ m ×

π

s

4

2

× ( 3⋅ m) ×

2

N⋅ s

kg⋅ m

FV = 189⋅ kN

R
4⋅ R
FV⋅ x = W1⋅ − W2⋅
2
3⋅ π
x =

For FH

3

× 9.81⋅

m

FV = W1 − W2

with x given by

kg

−

208
189

Computing equations

×

or

4
3⋅ π

× 3⋅ m

FH = pc⋅ A

x=

W1 R W2 4⋅ R
⋅ −
⋅
Fv 2
F v 3⋅ π

x = 1.75 m
Ixx
y' = yc +
A ⋅ yc

W1 = 397⋅ kN

W2 = 208⋅ kN

Hence

R⎞
⎛
FH = pc⋅ A = ρ⋅ g⋅ ⎜ D − ⎟ ⋅ w⋅ R
2⎠
⎝
kg

FH = 1000⋅

× 9.81⋅

3

m

⎛
⎝

m

× ⎜ 4.5⋅ m −

2

s

2

3⋅ m ⎞

N⋅ s

2 ⎠

kg⋅ m

⎟ × 3⋅ m × 3⋅ m ×

FH = 265⋅ kN

The location of this force is
3
2
Ixx
R ⎞ w⋅ R
1
R
R
⎛
y' = yc +
= ⎜D − ⎟ +
×
= D− +
A ⋅ yc ⎝
2⎠
12
R⎞
2
R⎞
⎛
⎛
w ⋅ R⋅ ⎜ D − ⎟
12⋅ ⎜ D − ⎟
2
2⎠
⎝
⎠
⎝

y' = 4.5⋅ m −

3⋅ m
2

( 3⋅ m)

+

⎛
⎝

2

12 × ⎜ 4.5⋅ m −

y' = 3.25 m

3⋅ m ⎞

⎟

2 ⎠

The force F1 on the bottom of the gate is F1 = p⋅ A = ρ⋅ g⋅ D⋅ w⋅ R
F1 = 1000⋅

kg
3

× 9.81⋅

m

2

m

× 4.5⋅ m × 3⋅ m × 3⋅ m ×

2

s

N⋅ s

F1 = 397⋅ kN

kg⋅ m

For the concrete gate (SG = 2.4 from Table A.2)

WGate = SG⋅ ρ⋅ g⋅ w⋅

FB =

4
3⋅ π

2

= 2.4⋅ 1000⋅

4

⋅ WGate +

4
3⋅ π

x
R

× 499⋅ kN +

FB = 278⋅ kN

kg
3

× 9.81⋅

m

F B ⋅ R + F 1⋅

Hence, taking moments about A

FB =

π⋅ R

R

− WGate⋅

2

⋅ FV +

1.75
3

4⋅ R
3⋅ π

[ y' − ( D − R) ]
R

× 189⋅ kN +

m
2

× 3⋅ m ×

s

π
4

2

2

× ( 3⋅ m) ×

N⋅ s

kg⋅ m

− FV⋅ x − FH⋅ [ y' − ( D − R) ] = 0

⋅ FH −

1
2

⋅ F1

[ 3.25 − ( 4.5 − 3) ]
3

× 265⋅ kN −

1
2

× 397⋅ kN

WGate = 499⋅ kN

Problem 3.79

Given:

Sphere with different fluids on each side

Find:

Resultant force and direction

[Difficulty: 4]

Solution:
The horizontal and vertical forces due to each fluid are treated separately. For each, the horizontal force is equivalent to that
on a vertical flat plate; the vertical force is equivalent to the weight of fluid "above".
For horizontal forces, the computing equation of Section 3-5 is FH  pc A where A is the area of the equivalent vertical
plate.
For vertical forces, the computing equation of Section 3-5 is FV  ρ g V where V is the volume of fluid above the curved
surface.
The data is

ρ  999

For water

kg
3

m
For the fluids

SG1  1.6

SG2  0.8

For the weir

D  3 m

L  6 m

(a) Horizontal Forces
For fluid 1 (on the left)

D
1
2

FH1  pc A   ρ1 g   D L   SG1 ρ g D  L
2
2


FH1 

For fluid 2 (on the right)

2

 1.6 999

kg
3

 9.81

m

m
2

2

 ( 3 m)  6 m

s

2

N s

kg m

FH1  423 kN

D D
1
2

FH2  pc A   ρ2 g    L   SG2 ρ g D  L
4 2
8

FH2 

The resultant horizontal force is

1

1
8

 0.8 999

kg
3

m

 9.81

m
2

s

2

 ( 3 m)  6 m

2

N s

kg m

FH  FH1  FH2

(b) Vertical forces
For the left geometry, a "thought experiment" is needed to obtain surfaces with fluid "above"

FH2  52.9 kN

FH  370 kN

Hence

π D
4

FV1  SG1 ρ g

2

L

2
kg

FV1  1.6  999

3

 9.81

m

m
2



s

π ( 3 m)

2

2

 6 m 

8

N s

kg m

FV1  333 kN

(Note: Use of buoyancy leads to the same result!)
For the right side, using a similar logic
π D
4

FV2  SG2 ρ g

2

L

4

FV2  0.8  999

kg
3

 9.81

m
The resultant vertical force is

FV  FV1  FV2

m
2

s



π ( 3 m)
16

2

2

 6 m 

N s

kg m

FV2  83.1 kN

FV  416 kN

Finally the resultant force and direction can be computed
F 

2

FH  FV

 FV 

 FH 

α  atan 

2

F  557 kN

α  48.3 deg

Problem 3.80

[Difficulty: 3]

Given:

Cylindrical weir as shown; liquid is water

Find:

Magnitude and direction of the resultant force of the water on the weir

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

Assumptions:

dp

= ρ⋅ g
dh
⎯→
⎯
→
dFR = −p ⋅ dA

(Hydrostatic Pressure - h is positive downwards from
free surface)
(Hydrostatic Force)

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts on free surfaces and on the
first quadrant of the cylinder

Using the coordinate system shown in the diagram at the right:

h1

3⋅ π
⌠ 2

⎮
FRx = ⎮
⌡0

y
x

D1

⎯
→→
→→
⌠
⌠
⌠
⎮
⎮
⎮
FRx = FR⋅ i = −
p dA ⋅ i = −
p ⋅ cos ( θ + 90⋅ deg) dA = ⎮ p ⋅ sin( θ) dA
⎮
⎮
⌡
⌡
⌡
⎯
→→
→→
⌠
⌠
⎮
⎮
FRy = FR⋅ j = −
p dA⋅ j = −
p⋅ cos ( θ) dA
⎮
⎮
⌡
⌡

θ

h2

Now since dA = L⋅ R⋅ dθ it follows that
3⋅ π
⌠ 2

p⋅ L⋅ R⋅ sin ( θ) dθ

and

⎮
FRy = −⎮
⌡0

Next, we integrate the hydrostatic pressure equation:

p⋅ L⋅ R⋅ cos ( θ) dθ

p = ρ ⋅ g⋅ h

Now over the range
Over the range

0≤θ≤π

π≤θ≤

3⋅ π
2

h1 = R ( 1 − cos ( θ) )
h2 = −R⋅ cos ( θ)

Therefore we can express the pressure in terms of θ and substitute into the force equations:
3⋅ π

3⋅ π

⌠ 2
⌠ 2
π
⎮
⎮
⌠
⎮
ρ⋅ g⋅ R⋅ ( 1 − cos ( θ) ) ⋅ L⋅ R⋅ sin ( θ) dθ − ⎮
FRx = ⎮
p⋅ L⋅ R⋅ sin ( θ) dθ =
ρ⋅ g⋅ R⋅ cos ( θ) ⋅ L⋅ R⋅ sin ( θ) dθ
⌡0
⌡0
⌡π
π

3⋅ π
⌠ 2

2 ⌠
2 ⎮
FRx = ρ⋅ g⋅ R ⋅ L⋅ ⎮ ( 1 − cos ( θ) ) ⋅ sin ( θ) dθ − ρ⋅ g⋅ R ⋅ L⋅ ⎮
⌡0
⌡π

cos ( θ) ⋅ sin ( θ) dθ

D2

3⋅ π
⎤
⎡
⎢ π
⎥
⌠ 2
⎮
3
1⎞
2 ⎛
2 ⎢⌠
⎥
2
FRx = ρ⋅ g⋅ R ⋅ L⋅ ⎮ ( 1 − cos ( θ) ) ⋅ sin ( θ) dθ − ⎮
cos ( θ) ⋅ sin ( θ) dθ = ρ⋅ g⋅ R ⋅ L⋅ ⎜ 2 − ⎟ = ⋅ ρ⋅ g⋅ R ⋅ L
⎢⌡
⎥
⌡
⎝ 2⎠ 2
π
⎣ 0
⎦

Substituting known values:

FRx =

3
2

× 999⋅

kg
3

× 9.81⋅

m

m
2

2

2

× ( 1.5⋅ m) × 6⋅ m ×

s

N⋅ s

FRx = 198.5⋅ kN

kg⋅ m

Similarly we can calculate the vertical force component:
3⋅ π

3⋅ π

⎡

⎤

⎢ π
⎥
⌠ 2
⌠ 2
⎮
⎮
⎢⌠
⎥
FRy = −⎮
p⋅ L⋅ R⋅ cos ( θ) dθ = − ⎮ ρ⋅ g⋅ R⋅ ( 1 − cos ( θ) ) ⋅ L⋅ R⋅ cos ( θ) dθ − ⎮
ρ⋅ g⋅ R⋅ cos ( θ) ⋅ L⋅ R⋅ cos ( θ) dθ
⎢⌡
⎥
⌡0
⌡
π
⎣ 0
⎦

3⋅ π
⎡
⎤
⎢ π
⎥
⌠ 2
⎮
3⋅ π
2 ⎢⌠
2 ⎥
2 ⎛ π 3⋅ π π ⎞
2
FRy = −ρ⋅ g⋅ R ⋅ L⋅ ⎮ ( 1 − cos ( θ) ) ⋅ cos ( θ) dθ − ⎮
( cos ( θ) ) dθ = ρ⋅ g⋅ R ⋅ L⋅ ⎜ +
− ⎟ =
⋅ ρ ⋅ g⋅ R ⋅ L
⎢⌡
⎥
⌡
2
4
2
4
⎝
⎠
π
⎣ 0
⎦

Substituting known values:

FRy =

3⋅ π
4

× 999⋅

kg
3

m

× 9.81⋅

m
2

2

× ( 1.5⋅ m) × 6⋅ m ×

s

2

N⋅ s

kg⋅ m

FRy = 312⋅ kN

Now since the weir surface in contact with the water is a circular arc, all elements dF of the force, and hence the line of action of the
resultant force, must pass through the pivot. Thus:

2

Magnitude of the resultant force:

FR =

( 198.5⋅ kN) + ( 312⋅ kN)

The line of action of the force:

α = atan ⎜

⎛ 312⋅ kN ⎞
⎟
⎝ 198.5⋅ kN ⎠

2

FR = 370⋅ kN

α = 57.5⋅ deg

Problem 3.81

[Difficulty: 3]

Given:

Cylindrical log floating against dam

Find:

(a) Mass per unit length of the log (b) Contact force per unit length between log and dam

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

= ρ⋅ g

(Hydrostatic Pressure - h is positive downwards from
free surface)

⎯
⎯
→
→
dF = p ⋅ dA

Assumptions:

(Hydrostatic Force)

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts on free surfaces and on the
first quadrant of the log

Integrating the hydrostatic pressure equation:

dFH
R = D/2
dFV

dF

h

p = ρ⋅ g⋅ h = ρ⋅ g⋅ R⋅ ( 1 − cos ( θ) )

θ

Resolving the incremental force into horizontal and vertical components:
2

dF = p ⋅ dA = p ⋅ w⋅ R⋅ dθ = ρ⋅ g⋅ R⋅ ( 1 − cos ( θ) ) ⋅ w⋅ R⋅ dθ = ρ⋅ g⋅ R ⋅ w⋅ ( 1 − cos ( θ) )
2

dFH = dF⋅ sin( θ) = ρ⋅ g⋅ R ⋅ w⋅ ( 1 − cos ( θ) ) ⋅ dθ⋅ sin( θ)

2

dFv = dF⋅ cos ( θ) = ρ⋅ g⋅ R ⋅ w⋅ ( 1 − cos ( θ) ) ⋅ dθ⋅ cos ( θ)

Integrating the expression for the horizontal force will provide us with the contact force per unit length:
3⋅ π
⌠ 2

⎮
FH = ⎮
⌡0

3⋅ π
⌠ 2

2
2 ⎮
ρ⋅ g⋅ R ⋅ w⋅ ( 1 − cos ( θ) ) ⋅ sin( θ) dθ = ρ⋅ g⋅ R ⋅ w⋅ ⎮
⌡0

2

⎛ 1 + 1 ⎞ = ρ⋅ g⋅ R ⋅ w
⎟
2
⎝ 2
⎠

2

( sin( θ) − sin( θ) ⋅ cos ( θ) ) dθ = ρ⋅ g⋅ R ⋅ w⋅ ⎜ −

Therefore:

FH
w

=

ρ⋅ g⋅ R

2

2

Integrating the expression for the vertical force will provide us with the mass per unit length of the log:
3⋅ π

3⋅ π

⌠ 2
⌠ 2
⎮
3⋅ π ⎞
2
2 ⎮
2 ⎛
Fv = ⎮
ρ⋅ g⋅ R ⋅ w⋅ ( 1 − cos ( θ) ) ⋅ cos ( θ) dθ = ρ⋅ g⋅ R ⋅ w⋅ ⎮
( 1 − cos ( θ) ) ⋅ cos ( θ) dθ = ρ⋅ g⋅ R ⋅ w⋅ ⎜ −1 −
⎟
⌡0
⌡0
4 ⎠
⎝

Therefore:

Fv
w

2

⎛
⎝

= − ρ ⋅ g⋅ R ⋅ ⎜ 1 +

3⋅ π ⎞

⎟
4 ⎠

From a free-body diagram for the log:

ΣFy = 0

−

m
w

⋅g −

Solving for the mass of the log:

Fv
w

m

=0

m
w

w
2

⎛
⎝

=−

= ρ⋅ R ⋅ ⎜ 1 +

Fv
w⋅ g

3⋅ π ⎞

⎟

4 ⎠

Problem 3.82

Given:

[Difficulty: 3]

Curved surface, in shape of quarter cylinder, with given radius R and width w; water stands to depth H.
R = 0.750⋅ m w = 3.55⋅ m

H = 0.650⋅ m

Find:

Magnitude and line of action of (a) vertical force and (b) horizontal force on the curved
surface

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

= ρ⋅ g

(Hydrostatic Pressure - h is positive downwards from
free surface)

⌠
⎮
p dA y
⎮
⌡

Fv =

(Vertical Hydrostatic Force)

FH = pc⋅ A

(Horizontal Hydrostatic Force)

⌠
⎮
x dF v
⎮
⌡
Ixx
h' = hc +
hc⋅ A
x'⋅ Fv =

Assumptions:

(Moment of vertical force)
(Line of action of horizontal force)

dF

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts on free surface of the
water and on the left side of the curved surface

Integrating the hydrostatic pressure equation:
From the geometry: h = H − R⋅ sin ( θ)

⎛H⎞
θ1 = asin ⎜ ⎟
⎝R⎠

R

θ

h

H

p = ρ ⋅ g⋅ h

y = R⋅ sin ( θ)

⎛ 0.650 ⎞
θ1 = asin ⎜
⎟
⎝ 0.750 ⎠

x = R⋅ cos ( θ)

dA = w⋅ R⋅ dθ

x’
dF

FV
θ1 = 1.048⋅ rad

h’
R

Therefore the vertical component of the hydrostatic force is:
θ

1
⌠
⌠
⌠
⎮
⎮
⎮
Fv = ⎮ p dAy = ⎮ ρ⋅ g⋅ h⋅ sin ( θ) dA =
ρ⋅ g⋅ ( H − R⋅ sin ( θ) ) ⋅ sin ( θ) ⋅ w⋅ R dθ
⌡0
⌡
⌡
θ

(

)

1
⌠
⎡
⎛ θ1 sin 2⋅ θ1 ⎞⎤
2
Fv = ρ⋅ g⋅ w⋅ R⋅ ⎮ ⎡⎣H⋅ sin ( θ) − R⋅ ( sin ( θ) ) ⎤⎦ dθ = ρ⋅ g⋅ w⋅ R⋅ ⎢H⋅ 1 − cos θ1 − R⋅ ⎜
−
⎟⎥
⌡0
4
⎣
⎝2
⎠⎦

(

( ))

θ

FH
y’

H

kg

Fv = 999⋅

3

× 9.81⋅

m

m
2

2

⎡
⎣

⎛ 1.048 − sin ( 2 × 1.048⋅ rad) ⎞⎤ × N⋅ s
⎟⎥
4
⎝ 2
⎠⎦ kg⋅ m

× 3.55⋅ m × 0.750⋅ m × ⎢0.650⋅ m × ( 1 − cos ( 1.048⋅ rad) ) − 0.750⋅ m × ⎜

s

Fv = 2.47⋅ kN
To calculate the line of action of this force:
θ

1
⌠
2⌠ ⎡
2
⎮
⎮
x'⋅ Fv =
R⋅ cos ( θ) ⋅ ρ⋅ g⋅ h⋅ sin ( θ) dA = ρ⋅ g⋅ w⋅ R ⋅
⎣H⋅ sin ( θ) ⋅ cos ( θ) − R⋅ ( sin ( θ) ) ⋅ cos ( θ)⎤⎦ dθ
⎮
⌡
⌡
0
2 H
2 R
3
Evaluating the integral: x'⋅ Fv = ρ⋅ g⋅ w⋅ R ⋅ ⎡⎢ ⋅ sin θ1 − ⋅ sin θ1 ⎥⎤
2
3
⎣
⎦

( ( ))

x' =

x'⋅ Fv
Fv

x' = 999⋅

2

=

kg
3

( ( ))

ρ ⋅ g⋅ w ⋅ R ⎡ H
2 R
3⎤
⋅ ⎢ ⋅ sin θ1 − ⋅ sin θ1 ⎥
Fv
2
3
⎣
⎦

× 9.81⋅

m

m
2

( ( ))

( ( ))
2

× 3.55⋅ m × ( 0.750⋅ m) ×

s

Therefore we may find the line of action:

Substituting in known values:

( )

0.650
sin θ1 =
0.750

⎡ 0.650⋅ m ⎛ 0.650 ⎞ 2 0.750⋅ m ⎛ 0.650 ⎞ 3⎤ N⋅ s2
×⎜
×⎜
⎟ −
⎟ ⎥×
3 N ⎣
2
3
⎝ 0.750 ⎠
⎝ 0.750 ⎠ ⎦ kg⋅ m
2.47 × 10
1

⋅

1

×⎢

x' = 0.645 m
2

For the horizontal force:

FH =

1
2

× 999⋅

kg
3

m

H
ρ ⋅ g⋅ H ⋅ w
FH = pc⋅ A = ρ⋅ g⋅ hc⋅ H⋅ w = ρ⋅ g⋅ ⋅ H⋅ w =
2
2

× 9.81⋅

m
2

2

2

× ( 0.650⋅ m) × 3.55⋅ m ×

s

For the line of action of the horizontal force:

N⋅ s

FH = 7.35⋅ kN

kg⋅ m

Ixx
h' = hc +
hc⋅ A

3
Ixx
H w⋅ H 2 1
H H
2
h' = hc +
=
+
⋅ ⋅
=
+
= ⋅H
12 H w⋅ H
6
hc⋅ A
2
2
3

where

h' =

2
3

Ixx =

w⋅ H
12

× 0.650⋅ m

3

A = w⋅ H

Therefore:

h' = 0.433 m

Problem 3.83

Given:

Canoe floating in a pond

Find:

What happens when an anchor with too short of a line is thrown from canoe

[Difficulty: 2]

Solution:
Governing equation:

FB   w gVdisp  W
Before the anchor is thrown from the canoe the buoyant force on the canoe balances out the weight of the canoe and anchor:

FB1  Wcanoe  Wanchor   w gVcanoe1
The anchor weight can be expressed as

Wanchor   a gVa

so the initial volume displaced by the canoe can be written as

Vcanoe1 

Wcanoe  a

Va
w g w

After throwing the anchor out of the canoe there will be buoyant forces acting on the canoe and the anchor. Combined, these buoyant
forces balance the canoe weight and anchor weight:

FB2  Wcanoe  Wanchor   w gVcanoe2   w gVa

Vcanoe 2 

Wcanoe Wa

 Va
w g w g

Vcanoe 2 

Wcanoe  a
Va  Va

w g w

Using the anchor weight,

Hence the volume displaced by the canoe after throwing the anchor in is less than when the anchor was in the canoe, meaning that the
canoe is floating higher.

Problem 3.84

Given:

[Difficulty: 3]

Curved surface, in shape of quarter cylinder, with given radius R and width w; liquid concrete stands to depth H.
R = 1⋅ ft

w = 4⋅ ft

Fvmax = 350⋅ lbf

SG = 2.50 From Table A.1, App A

Find:

(a) Maximum depth of concrete to avoid cracking
(b) Line of action on the form.
(c) Plot the vertical force and line of action over H ranging from 0 to R.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

= ρ⋅ g

Fv =

(Hydrostatic Pressure - h is positive downwards from
free surface)

⌠
⎮
p dA y
⎮
⌡

(Vertical Hydrostatic Force)

x

⌠
⎮
x'⋅ Fv =
x dF v
⎮
⌡

Assumptions:

d
(Moment of vertical force)

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts on free surface of the concrete

θ1

θ
x’

h

FV

p = ρ ⋅ g⋅ h

Integrating the hydrostatic pressure equation:
From the geometry: y = R⋅ sin ( θ)

y

x = R⋅ cos ( θ)

h = y−d

d = R−H

dA = w⋅ R⋅ dθ

Therefore the vertical component of the hydrostatic force is:
π

Fv =

⌠
⌠
⎮
⎮
p dA y =
⎮
⎮
⌡
⌡

⌠2
⎮
ρ⋅ g⋅ h⋅ sin ( θ) dA = ⎮ ρ⋅ g⋅ ( R⋅ sin ( θ) − d) ⋅ sin ( θ) ⋅ w⋅ R dθ
⌡θ

where

1

π
⌠2

(

)

⎛d⎞
θ1 = asin ⎜ ⎟
⎝ R⎠

⎮
⎡ ⎛ π θ1 sin 2⋅ θ1 ⎞
⎤
2
Fv = ρ⋅ g⋅ w⋅ R⋅ ⎮ ⎡⎣R⋅ ( sin ( θ) ) − d⋅ ( sin ( θ) )⎤⎦ dθ = ρ⋅ g⋅ w⋅ R⋅ ⎢R⋅ ⎜ −
+
⎟ − d⋅ cos θ1 ⎥
4
⌡θ
⎣ ⎝4 2
⎠
⎦

( )

In terms of H:

1

( )

sin θ1 =

R−H
R

( )

cos θ1 =

2

R − ( R − H)
R

2

=

2⋅ R ⋅ H − H
R

2

(

)

( ) ( )

sin 2⋅ θ1 = 2⋅ sin θ1 ⋅ cos θ1 =

2⋅ ( R − H ) ⋅ 2⋅ R ⋅ H − H
R

2

2

⎡⎢ ⎡⎢
⎛ H⎞
⎤
⎤
asin ⎜ 1 − ⎟
2⎥
2⎥
R
π
(
R
−
H
)
⋅
2
⋅
R
⋅
H
−
H
2
⋅
R
⋅
H
−
H
⎝
⎠
⎥ − ( R − H) ⋅
⎥
Fv = ρ⋅ g⋅ w⋅ R⋅ ⎢R⋅ ⎢ −
+
2
2
R
⎢ ⎢4
⎥
⎥
2R
⎣ ⎣
⎦
⎦

This equation can be solved iterative
for H:
H = 0.773⋅ ft

To calculate the line of action of this force:
π

x'⋅ Fv =

⌠
⎮
⎮
⌡

⌠2
2 ⎮ ⎡
2
x⋅ ρ⋅ g⋅ h⋅ sin ( θ) dA = ρ⋅ g⋅ R ⋅ w⋅ ⎮ ⎣R⋅ ( sin ( θ) ) ⋅ cos ( θ) − d⋅ sin ( θ) ⋅ cos ( θ)⎤⎦ dθ
⌡θ
1

Evaluating the integral:

R
d
2
3
2⎤
x'⋅ Fv = ρ⋅ g⋅ R ⋅ w⋅ ⎡⎢ ⋅ ⎡1 − sin θ1 ⎤ − ⋅ cos θ1 ⎥
⎣
⎦
2
⎣3
⎦

Therefore we may find the line of action:

x' =

( ( ))

( )

sin θ1 =

Substituting in known values:

⎛

slug ⎞

⎝

ft ⎠

x' = ⎜ 2.5 × 1.94⋅

3

⎟ × 32.2⋅

ft
2

x'⋅ Fv
Fv

1 − 0.773
1

2

× ( 1⋅ ft) × 4⋅ ft ×

s

2

=

ρ ⋅ g⋅ R ⋅ w ⎡ R ⎡
d
3
2⎤
⋅ ⎢ ⋅ 1 − sin θ1 ⎤ − ⋅ cos θ1 ⎥
⎣
⎦
Fv
2
⎣3
⎦

⋅

1

350 lbf

( ( ))

( )

= 0.227

1

( ( ))

cos θ1 =

( ( ))

2

1 − 0.227 = 0.9739

2

⎡ 1⋅ ft × ⎡1 − ( 0.227) 3⎤ − 0.227⋅ ft × ( 0.9739) 2⎤ × lbf ⋅ s
⎣
⎦
⎥
2
⎣ 3
⎦ slug⋅ ft

×⎢

x' = 0.396⋅ ft

We may use the equations we developed above to plot the vertical force and line of action as a function of the height of the concrete in the

Vertical Force vs. Depth Ratio

Line of Action vs. Depth Ratio

500.0

0.4
Line of Action (ft)

Vertical Force (lbf)

400.0

300.0

200.0

0.2

100.0

0.0
0.0

0.5
Depth Ratio H/R

1.0

0.0
0.0

0.5
Depth Ratio H/R

1.0

Problem 3.85

Given:

[Difficulty: 3]

Model cross section of canoe as a parabola. Assume constant width W over entire length L
2

y  a x

a  1.2 ft

1

W  2 ft

L  18 ft

Find:

Expression relating the total mass of canoe and contents to distance d. Determine maximum
allowable total mass without swamping the canoe.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

 ρ g

Fv 

Assumptions:

(Hydrostatic Pressure - h is positive downwards from
free surface)



p dA y



(Vertical Hydrostatic Force)

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts on free surface of the water and inner
surface of the canoe.

At any value of d the weight of the canoe and its contents is balanced by the net vertical force of the water on the canoe.
Integrating the hydrostatic pressure equation:
Fv 

p  ρ  g h





p dA y 
ρ g h L dx where h  ( H  d)  y




y  a x

To determine the upper limit of integreation we remember that
y  Hd


F v  2 
0

Therefore, x 
Hd
a

Hd
a

At the surface

and so the vertical force is:



2

ρ g ( H  d)  a x   L dx  2 ρ g L 
0

Upon simplification: Fv  2 ρ g L

2

( H  d)
a

3
2

Hd
a

3
3


2
2
(
H

d
)
a
(
H

d
)
2




( H  d)  a x  dx  2 ρ g L
 
 

3  a  
a

3

 1  4 ρ g L  ( H  d) 2  M g
 1   
 3
3 a

or

M

4 ρ  L

 ( H  d)

3 a

3
2

where M is the
mass of the canoe.

3

ft
2 32.174 lb
 ( 2.4 ft) 
1.2
slug

4
slug
The limit for no swamping is d=0, and so: M   1.94
 18 ft 
3
3
ft
This leaves us no margin, so if we set d=0.2 ft we get

M 

4
3

 1.94

slug
ft

3

 18 ft 

ft
1.2

3

M  5.08  10  lb

3
2 32.174 lb

 ( 2.2 ft) 

slug

3

M  4.46  10  lb

Clearly the answer is highly dependent upon the allowed risk of swamping!

Problem 3.86

[Difficulty: 4]

Given:

Cylinder of mass M, length L, and radius R is hinged along its length and immersed in an incompressilble liquid to depth

Find:

General expression for the cylinder specific gravity as a function of α=H/R needed to hold
the cylinder in equilibrium for α ranging from 0 to 1.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dh

= ρ⋅ g

Fv =

(Hydrostatic Pressure - h is positive downwards from free surface)

⌠
⎮
p dA y
⎮
⌡

(Vertical Hydrostatic Force)

ΣM = 0

Assumptions:

H = αR

(Rotational Equilibrium)

h

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts on free surface of the liquid.

dFV

θ
dF
dFH

The moments caused by the hydrostatic force and the weight of the cylinder about the hinge need to balance each other.
Integrating the hydrostatic pressure equation:

p = ρ ⋅ g⋅ h

dFv = dF⋅ cos ( θ) = p⋅ dA⋅ cos ( θ) = ρ⋅ g⋅ h⋅ w⋅ R⋅ dθ⋅ cos ( θ)
Now the depth to which the cylinder is submerged is

H = h + R⋅ ( 1 − cos ( θ) )

h = H − R⋅ ( 1 − cos ( θ) ) and into the vertical force equation:

Therefore

2 ⎡H

dFv = ρ⋅ g⋅ [ H − R⋅ ( 1 − cos ( θ) ) ] ⋅ w⋅ R⋅ cos ( θ) ⋅ dθ = ρ⋅ g⋅ w⋅ R ⋅ ⎢

⎣R

⎤
⎦

− ( 1 − cos ( θ) )⎥ ⋅ cos ( θ) ⋅ dθ

1 + cos ( 2⋅ θ)⎤
2
2
2⎡
dFv = ρ⋅ g⋅ w⋅ R ⋅ ⎡⎣( α − 1) ⋅ cos ( θ) + ( cos ( θ) ) ⎤⎦ ⋅ dθ = ρ⋅ g⋅ w⋅ R ⋅ ⎢( α − 1) ⋅ cos ( θ) +
⎥ ⋅ dθ
2
⎣
⎦
Now as long as α is not greater than 1, the net horizontal hydrostatic force will be zero due to symmetry, and the vertical force is:
θmax

⌠
Fv = ⎮
⌡− θ

max

θmax

⌠
1 dF v = ⎮
⌡0

2 dF v

where

(

)

cos θmax =

R−H
R

= 1−α

or

θmax = acos ( 1 − α)

2⌠
⎮

Fv = 2ρ⋅ g⋅ w⋅ R ⋅

θmax

⎮
⌡0

⎡( α − 1) ⋅ cos ( θ) + 1 + 1 ⋅ cos ( 2⋅ θ)⎤ dθ
⎢
⎥
2 2
⎣
⎦

Now upon integration of this expression we have:

2

Fv = ρ⋅ g⋅ w⋅ R ⋅ ⎡⎣acos ( 1 − α) − ( 1 − α) ⋅ α⋅ ( 2 − α)⎤⎦
The line of action of the vertical force due to the liquid is through the centroid of the displaced liquid, i.e., through the center of the cylinde
2

The weight of the cylinder is given by: W = M⋅ g = ρc⋅ V⋅ g = SG⋅ ρ⋅ π⋅ R ⋅ w⋅ g

where ρ is the density of the fluid and

SG =

ρc
ρ

The line of action of the weight is also throught the center of the cylinder. Taking moment about the hinge we get:

ΣMo = W⋅ R − Fv⋅ R = 0
2

or in other words

W = Fv

and therefore:

2

SG⋅ ρ⋅ π⋅ R ⋅ w⋅ g = ρ⋅ g⋅ w⋅ R ⋅ ⎡⎣acos ( 1 − α) − ( 1 − α) ⋅ α⋅ ( 2 − α)⎤⎦

SG =

1
π

⋅ ⎡⎣acos ( 1 − α) − ( 1 − α) ⋅ α⋅ ( 2 − α)⎤⎦

Specific Gravity, SG

0.6

0.4

0.2

0

0

0.5
alpha (H/R)

1

Problem 3.87

Given:

[Difficulty: 4]

Canoe, modeled as a right semicircular cylindrical shell, floats in water of depth d. The shell has outer radius R and leng
R = 1.2⋅ ft

L = 17⋅ ft

d = 1⋅ ft

Find:

(a) General expression for the maximum total mass that can be floated, as a function of depth,
(b) evaluate for the given conditions
(c) plot for range of water depth between 0 and R.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

dp
dy

= ρ⋅ g

Fv =

Assumptions:

(Hydrostatic Pressure - y is positive downwards from
free surface)

⌠
⎮
p dA y
⎮
⌡

(Vertical Hydrostatic Force)

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts on free surface of the liquid.

θmax
y is a function of θ for a given depth d:

y = d − ( R − R⋅ cos ( θ) ) = d − R + R⋅ cos ( θ)

θ
y

The maximum value of θ:

⎡ ( R − d) ⎤
⎥
⎣ R ⎦

d

dF

θmax = acos ⎢

A free-body diagram of the canoe gives: ΣFy = 0 = M⋅ g − Fv

where

is the vertical force of the water on the canoe.

Fv

θ

θ

max
max
⌠
⌠
⌠
⌠
⎮
⎮
Fv =
p dA y =
p⋅ cos ( θ) dA = ⎮
ρ⋅ g⋅ y⋅ L⋅ R⋅ cos ( θ) dθ = 2⋅ ρ⋅ g⋅ L⋅ R⋅ ⎮
( d − R + R⋅ cos ( θ) ) ⋅ cos ( θ) dθ
⎮
⎮
⌡0
⌡− θ
⌡
⌡
max
θmax

⌠
F v = 2⋅ ρ ⋅ g⋅ L ⋅ R ⋅ ⎮
⌡0

Since

For

M=

Fv
g

⎛ θmax sin (2⋅ θmax) ⎞⎤
⎡⎣( d − R) ⋅ cos ( θ) + R⋅ ( cos ( θ) ) 2⎤⎦ dθ = 2⋅ ρ⋅ g⋅ L⋅ R⋅ ⎡⎢( d − R) ⋅ sin θ
+
R
⋅
⎜
+
⎟⎥
(
)
max
4
⎣
⎝ 2
⎠⎦

it follows that

R = 1.2⋅ ft L = 17⋅ ft

and d = 1⋅ ft

⎡

(

)

⎛ θmax

M = 2⋅ ρ⋅ L⋅ R⋅ ⎢( d − R) ⋅ sin θmax + R⋅ ⎜

⎣

we can determine the mass:

⎝ 2

+

(

) ⎟⎥

sin 2⋅ θmax ⎞⎤
4

⎠⎦

⎡ ( 1.2 − 1)⎤
⎥
⎣ 1.2 ⎦

θmax = acos ⎢

θmax = 1.403⋅ rad

M = 2 × 1.94⋅

slug
ft

3

⎡
⎣

⎛ 1.403⋅ rad + sin ( 2 × 1.403⋅ rad) ⎞⎤ × 32.2⋅ lbm
⎟⎥
2
4
slug
⎝
⎠⎦

× 17⋅ ft × 1.2⋅ ft × ⎢( 1⋅ ft − 1.2⋅ ft) × sin ( 1.403⋅ rad) + 1.2⋅ ft × ⎜

M = 1895⋅ lbm

When we enter the values of d/R into the expressions for θmax and M, we get the following graph:

Mass versus Submersion Depth Ratio

Mass, M (kg)

1000

500

0

0

0.5
Submersion Depth Ratio (d/R)

1

Problem 3.88

Given:

Geometry of glass observation room

Find:

Resultant force and direction

Assumptions:

[Difficulty: 4]

Water in aquarium is static and incompressible

Solution:
The x, y and z components of force due to the fluid are treated separately. For the x, y components, the horizontal force is equivalent to that
on a vertical flat plate; for the z component, (vertical force) the force is equivalent to the weight of fluid above.
For horizontal forces, the computing equation of Section 3-5 is FH  pc A where A is the area of the equivalent vertical plate.
For the vertical force, the computing equation of Section 3-5 is FV  ρ g V where V is the volume of fluid above the curved surface.
The data are

ρ  1.94

For water

slug
ft

For the fluid (Table A.2)

SG  1.025

For the aquarium

R  5 ft

3

H  35 ft

(a) Horizontal Forces
Consider the x component
yc  H 

The center of pressure of the glass is

Hence





FHx  pc A  SG ρ g yc 

FHx  1.025  1.94

slug
ft

3

π R

4 R
3 π

yc  32.88 ft

2

4

 32.2

ft
2

 32.88 ft 

s

π ( 5 ft)
4

2

2



lbf  s

slug ft

4

FHx  4.13  10  lbf

The y component is of the same magnitude as the x component
4

FHy  FHx

FHy  4.13  10  lbf

The resultant horizontal force (at 45o to the x and y axes) is

FH 

2

FHx  FHy

2

4

FH  5.85  10  lbf

(b) Vertical forces
The vertical force is equal to the weight of fluid above (a volume defined by a rectangular column minus a segment of a sphere)
3

π R

2

The volume is

V 

H 

Then

FV  SG ρ g V

4

4 π R
3

8

V  621.8 ft

3

FV  1.025  1.94

slug
ft

3

 32.2

ft
2

s

3

 621.8 ft 

2

lbf  s

slug ft
4

FV  3.98  10  lbf
Finally the resultant force and direction can be computed

F 

2

FH  FV

 FV 

 FH 

α  atan 

2

4

F  7.07  10  lbf

α  34.3 deg

Note that α is the angle the resultant force makes with the horizontal

Problem *3.89

[Difficulty: 2]

Given:

Hydrometer as shown, submerged in nitric acid. When submerged in
water, h = 0 and the immersed volume is 15 cubic cm.
SG  1.5 d  6 mm

Find:

The distance h when immersed in nitric acid.

Solution:

We will apply the hydrostatics equations to this system.

Fbuoy  ρ g Vd

Governing Equations:
Assumptions:

(1) Static fluid
(2) Incompressible fluid
ΣFz  0 M g  Fbuoy  0

Taking a free body diagram of the hydrometer:

Solving for the mass of the hydrometer:

When immersed in water:

M  ρw  V w

M

Fbuoy
g

 ρ V d

When immersed in nitric acid:

Since the mass of the hydrometer is the same in both cases:
π 2
When the hydrometer is in the nitric acid: Vn  Vw   d  h
4
π 2
Therefore: ρw Vw  SG ρw  Vw   d  h
4






Vw  SG  Vw 

π 2 
 d  h
4


 SG  1   4
h  Vw 

 SG  π d2

(Buoyant force is equal to weight of displaced fluid)

ρ w  V w  ρ n V n
ρn  SG ρw

Solving for the height h:

Vw ( 1  SG)  SG
3

M  ρ n V n

π 2
d h
4

4
 1.5  1  
 10 mm 



2
 1.5  π  ( 6 mm)  cm 

h  15 cm  

3

h  177 mm

Problem *3.90

[Difficulty: 3]

Given:

Data on sphere and weight

Find:

SG of sphere; equilibrium position when freely floating

T

Solution:
Basic equation

FB
F B  ρ  g V
where

Hence

T  M g

M g  ρ g

V
2

γ 

Weight
Volume

ΣFz  0  T  FB  W

M  10 kg

 SG ρ g V  0

SG  10 kg 

The specific weight is

ΣFz  0

and

m

3

1000 kg



SG 

1



0.025 m

SG ρ g V
V

FB  ρ g



3

M
ρ V



V

W

1
2

1

SG  0.9

2

 SG ρ g

W  SG ρ g V

2

γ  0.9  1000

kg
3

 9.81

m

2

m
2



s

N s

kg m

γ  8829

W  FB

with

FB  ρ g Vsubmerged

Vsubmerged 

From references (trying Googling "partial sphere volume")

 3 V 

 4 π 

R

where h is submerged depth and R is the sphere radius

π h

2

3

1
3

 3  0.025 m3

 4 π


2

Hence

π h
W  SG ρ g V  FB  ρ g
 ( 3  R  h)
3
2

h  ( 3 0.181 m  h) 

3

3 0.9 .025 m
π

 ( 3  R  h)
1
3

R  

2

h  ( 3  R  h) 

R  0.181 m

3 SG V
π

2

h  ( 0.544  h)  0.0215

This is a cubic equation for h. We can keep guessing h values, manually iterate, or use Excel's Goal Seek to find

3

m

For the equilibriul position when floating, we repeat the force balance with T = 0
FB  W  0

N

h  0.292 m

Problem *3.91

[Difficulty: 2]

Given:

Specific gravity of a person is to be determined from measurements of weight in air and the met weight when
totally immersed in water.

Find:

Expression for the specific gravity of a person from the measurements.

Solution:

We will apply the hydrostatics equations to this system.

Fbuoy  ρ g Vd

Governing Equation:
Assumptions:

(Buoyant force is equal to weight of displaced fluid)

(1) Static fluid
(2) Incompressible fluid

Fnet
Taking a free body diagram of the body:
Fnet

ΣFy  0

Fnet  M g  Fbuoy  0

Fbuoy

is the weight measurement for the immersed body.

Fnet  M g  Fbuoy  M g  ρw g Vd

Therefore the weight measured in water is:

However in air:

Fair  M g

Fnet  Fair  ρw g Vd

and

Vd 

Fair  Fnet

Mg

ρw g

Now in order to find the specific gravity of the person, we need his/her density:

Fair  M g  ρ g Vd  ρ g

Fair  Fnet
ρw  g

Now if we call the density of water at 4 deg C



ρ
Simplifying this expression we get: Fair 
F  Fnet
ρw air

ρw4C

then:



 ρ 
ρ

SG
 w4C  F  F
Fair 

air
net  SG  Fair  Fnet
ρ
 w 
w


 ρw4C 

Solving this expression for the specific gravity of the person SG, we get:

SG  SGw
F

Fair
air  Fnet

Problem *3.92

[Difficulty: 2]

Given:

Iceberg floating in seawater

Find:

Quantify the statement, "Only the tip of an iceberg shows (in seawater)."

Solution:

We will apply the hydrostatics equations to this system.
Fbuoy  ρ g Vd

Governing Equations:
Assumptions:

(Buoyant force is equal to weight of displaced fluid)

(1) Static fluid
(2) Incompressible fluid

Taking a free body diagram of the iceberg:

M g  Fbuoy  ρsw g Vd
Combining these expressions:

ΣFz  0 M g  Fbuoy  0

M  ρice Vtot

But the mass of the iceberg is also:

ρice Vtot g  ρsw g Vd

The volume of the iceberg above the water is:

Therefore we may define a volume fraction:

Mg

ρice

SGice

Fbuoy

Vd  Vtot
 Vtot
ρsw
SGsw

 SGice 
Vshow  Vtot  Vd  Vtot  1 

 SGsw 
VF 

Vshow
Vtot

 1

Substituting in data from Tables A.1 and A.2 we get: VF  1 

SGice
SGsw

0.917
1.025

VF  0.1054

Only 10% of the iceberg is above water

Problem *3.93

[Difficulty: 2]

Given:

Geometry of steel cylinder

Find:

Volume of water displaced; number of 1 kg wts to make it sink

Solution:
The data is

For water

ρ  999

kg
3

m
For steel (Table A.1)

SG  7.83

For the cylinder

D  100 mm

The volume of the cylinder is

Vsteel  δ 

The weight of the cylinder is

W  SG ρ g Vsteel

H  1 m

 π D 2



 π D  H 

 4

Vsteel  3.22  10



kg

W  7.83  999

3

 9.81

m

δ  1 mm

m
2

 3.22  10

4

3

m 

s

4

3

m

2

N s

W  24.7 N

kg m

At equilibium, the weight of fluid displaced is equal to the weight of the cylinder
Wdisplaced  ρ g Vdisplaced  W

Vdisplaced 

W
ρ g

3

 24.7 N 

m

999 kg

2



s

9.81 m



kg m

Vdisplaced  2.52 L

2

N s

To determine how many 1 kg wts will make it sink, we first need to find the extra volume that will need to be dsiplaced

Distance cylinder sank

x1 

Vdisplaced

x1  0.321 m

 π D 2 


 4 

x2  H  x1

Hence, the cylinder must be made to sink an additional distance

We deed to add n weights so that

1 kg n g  ρ g

π D
4

x2  0.679 m

2

 x2

2

n

ρ  π  D  x2
4  1 kg

Hence we need n  6 weights to sink the cylinder

 999

kg
3

m



π
4

2

 ( 0.1 m)  0.679 m 

1
1 kg

2



N s

kg m

n  5.33

Problem *3.94

[Difficulty: 2]

Given:

Experiment performed by Archimedes to identify the material conent of King
Hiero's crown. The crown was weighed in air and in water.

Find:

Expression for the specific gravity of the crown as a function of the weights in water and air.

Solution:

We will apply the hydrostatics equations to this system.
F b  ρ  g V d

(Buoyant force is equal to weight of displaced fluid)

(1) Static fluid
(2) Incompressible fluid

Ww

Governing Equations:
Assumptions:

ΣFz  0

Taking a free body diagram of the body:

Ww  M g  Fb  0

Ww is the weight of the crown in water.

Mg
Ww  M g  Fbuoy  M g  ρw g Vd

However in air:

Therefore the weight measured in water is:

so the volume is:

Vd 

Wa  Ww
ρw  g

Wa  M g

Fb

Ww  Wa  ρw g Vd

M ρw g
Wa
M
Now the density of the crown is: ρc 


ρ
Vd
Wa  Ww
Wa  Ww w

Therefore, the specific gravity of the crown is:

SG 

ρc
ρw



Wa
Wa  Ww

SG 

Wa
Wa  Ww

Note: by definition specific gravity is the density of an object divided by the density of water at 4 degrees Celsius, so the measured
temperature of the water in the experiment and the data from tables A.7 or A.8 may be used to correct for the variation in density of the
water with temperature.

Problem *3.95

[Difficulty: 2]

Open-Ended Problem Statement: Gas bubbles are released from the regulator of a submerged
Scuba diver. What happens to the bubbles as they rise through the seawater?

Discussion: Air bubbles released by a submerged diver should be close to ambient pressure at the
depth where the diver is swimming. The bubbles are small compared to the depth of submersion, so each
bubble is exposed to essentially constant pressure. Therefore the released bubbles are nearly spherical in
shape.
The air bubbles are buoyant in water, so they begin to rise toward the surface. The bubbles are quite light,
so they reach terminal speed quickly. At low speeds the spherical shape should be maintained. At higher
speeds the bubble shape may be distorted.
As the bubbles rise through the water toward the surface, the hydrostatic pressure decreases. Therefore the
bubbles expand as they rise. As the bubbles grow larger, one would expect the tendency for distorted
bubble shape to be exaggerated.

Problem *3.96

[Difficulty: 2]

Given:

Balloons with hot air, helium and hydrogen. Claim lift per cubic foot of 0.018, 0.066, and 0.071 pounds force per cubic f
for respective gases, with the air heated to 150 deg. F over ambient.

Find:

(a) evaluate the claims of lift per unit volume
(b) determine change in lift when air is heated to 250 deg. F over ambient.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

Assumptions:

L  ρa g V  ρg g V

(Net lift force is equal to difference in weights of air and gas)

p  ρ R  T

(Ideal gas equation of state)

(1) Static fluid
(2) Incompressible fluid
(3) Ideal gas behavior

The lift per unit volume may be written as: LV 

 ρg 
 g ρa  ρg  ρa g  1 

V
 ρa 
L





we take into account that the pressure inside and outside the balloon are equal:

lbf
At standard conditions the specific weight of air is: γa  0.0765
3
ft
Rg  386.1

For helium:

For hydrogen:

ft lbf
lbm R

Rg  766.5

Tg  Ta

ft lbf

Tg  Ta

lbm R

and therefore:

now if we take the ideal gas equation and

Ra Ta 
Ra Ta 


L
 ρa g  1 
  γa  1 

V
 R g T g 
 R g T g 

the gas constant is:

Ra  53.33

ft lbf
lbm R

lbf 
53.33 
LVHe  0.0765
 1 

3 
386.1 
ft

and therefore:

and

Ta  519 R

lbf
LVHe  0.0659
3
ft

lbf 
53.33 
LVH2  0.0765
 1 

3 
766.5 
ft

lbf
LVH2  0.0712
3
ft

For hot air at 150 degrees above ambient:
Rg  Ra

Tg  Ta  150 R and therefore:

lbf 
519 
lbf
LVair150  0.0765
 1 
 LVair150  0.0172 3
3 
519  150 
ft
ft
The agreement with the claims stated above is good.

For hot air at 250 degrees above ambient:
Rg  Ra
LVair250
LVair150

Tg  Ta  250 R and therefore:
 1.450

lbf 
519 
LVair250  0.0765
 1 

3 
519  250 
ft

lbf
LVair250  0.0249
3
ft

Air at ΔT of 250 deg. F gives 45% more lift than air at ΔT of 150 deg.F!

Problem *3.97

[Difficulty: 2]

V

FB

y
FD

W = Mg

Given:

Data on hydrogen bubbles

Find:

Buoyancy force on bubble; terminal speed in water

Solution:
Basic equation

F B  ρ  g V  ρ  g
FB  1.94

slug
ft

3

π 3
d
6

 32.2

FB  FD  W  0

Hence

V 

2



π
6

2

1 ft 
lbf  s
 
12 in 
slug ft

 11

FB  1.89  10

 5 lbf  s

2

from Table A.7 at 68oF

ft

V  1.89  10

 11

 lbf 

 3 ft



s

1
3 π



1



2.10  10

V  0.825

ft

2

 5 lbf  s

for terminal speed

 lbf

where we have ignored W, the weight of the bubble (at
STP most gases are about 1/1000 the density of water)

μ  2.10  10

with

3 π  μ  d

ΣFy  0  FB  FD  W

3




  0.001 in 

F D  3 π  μ  V  d  F B

FB

V  1.15  10

ft
s

For terminal speed

ΣFy  M ay

and



1
0.001 in

in
min

As noted by Professor Kline in the film "Flow Visualization", bubbles rise slowly!



12 in
1 ft

Problem *3.98

[Difficulty: 3]

Given:

Data on hot air balloon

Find:

Maximum mass of balloon for neutral buoyancy; mass for initial acceleration of 2.5 ft/s2.

Assumptions:

Fbuoyancy

Whot air

Air is treated as static and incompressible, and an ideal gas

Solution:
y
Basic equation

Hence

FB  ρatm g V

ΣFy  M ay

and

Wload

ΣFy  0  FB  Whotair  Wload  ρatm g V  ρhotair g V  M g





M  V ρatm  ρhotair 

3

M  320000 ft  14.7

lbf
2

in

V patm
R

 1





Tatm



1

for neutral buoyancy



Thotair 



2

1
1
 12 in   lbm R  





53.33

ft

lbf
(
160

460
)

R
ft
(
48

460
)

R













M  4517 lbm



Initial acceleration

ΣFy  FB  Whotair  Wload  ρatm  ρhotair  g V  Mnew g  Maccel a  Mnew  2 ρhotair V  a

Solving for Mnew

ρatm  ρhotair g V  Mnew g  Mnew  2 ρhotair V a
Mnew  V

ρatm  ρhotair g  2 ρhotair a  V patm  g 

1
1 
2 a 






ag
  Tatm Thotair  Thotair

ag

2

2

lbf  12 in 
lbm R
s
1
1
1
3



 ft
Mnew  320000 ft  14.7


 32.2 

 
  2 2.5
 2
2  ft  53.33 ft lbf ( 2.5  32.2)  ft 
( 160  460)
 ( 48  460) ( 160  460)
in
s R
Mnew  1239 lbm
To make the balloon move up or down during flight, the air needs to be heated to a higher temperature, or let cool (or let in ambient air).

Problem *3.99

[Difficulty: 4]

Given:

Spherical balloon filled with helium lifted a payload of mass M=230 kg.
At altitude, helium and air were in thermal equilibrium. Balloon diameter is
120 m and specific gravity of the skin material is 1.28.

Find:

The altitude to which the balloon rose.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

Assumptions:

Fbuoy  ρ g Vd

(Buoyant force is equal to mass of displaced fluid)

p  ρ R  T

(Ideal gas equation of state)

(1) Static, incompressible fluid
(2) Static equilibrium at 49 km altitude
(3) Ideal gas behavior

D
t

Taking a free body diagram of the balloon and payload: ΣFz  Fbuoy  MHe g  Ms g  M g  0

z
M

Substituting for the buoyant force and knowing that mass is density times volume:
ρair g Vb  ρHe g Vb  ρs g Vs  M g  0
The volume of the balloon:

ρair  ρHe 

p
T



6
π D

p 6
 
T π

3

6
π D

3

π

Vb 

6

2



  π ρs t D  M 
2



1
( 120 m)

3

1

kg
3

m

2

V s  π D  t

Substituting these into the force equation:

From the ideal gas equation of state and remembering that pressure and temperature of the air
and helium are equal:

Substituting known values and consulting Appendix A for gas constants:

  1
1 
R  R 
He 
 air

 π  1280



3

 D The volume of the skin:

  π ρs t D  M



ρair Vb  ρHe Vb  ρs Vs  M  0

 0.013 10

 m  ( 120 m)  230 kg 

3



2

1

2

1
287



1



N m Pa m
 4 kPa

 3.616  10 
kg K
N
K

2080

To determine the altitude, we need to check this ratio against data from Table A.3. We find that
the ratio of pressure to temperature matches the result above at:
h  48.3 km

Problem *3.100

[Difficulty: 3]

Given:

A pressurized balloon is to be designed to lift a payload of mass M to an altitude of 40 km, where p = 3.0 mbar
and T = -25 deg C. The balloon skin has a specific gravity of 1.28 and thickness 0.015 mm. The gage pressure of
the helium is 0.45 mbar. The allowable tensile stress in the balloon is 62 MN/m2

Find:

(a) The maximum balloon diameter
(b) The maximum payload mass

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

Assumptions:

t
D

Fbuoy = ρ⋅ g ⋅ Vd

(Buoyant force is equal to mass
of displaced fluid)

p = ρ⋅ R⋅ T

(Ideal gas equation of state)

M

(1) Static, incompressible fluid
(2) Static equilibrium at 40 km altitude
(3) Ideal gas behavior

πD tσ

The diameter of the balloon is limited by the allowable tensile stress in the skin:
ΣF =

π
4

2

⋅ D ⋅ ∆p − π⋅ D⋅ t⋅ σ = 0
−3

Dmax = 4 × 0.015 × 10

4⋅ t⋅ σ
Dmax =
∆p

Solving this expression for the diameter:
6 N

⋅ m × 62 × 10 ⋅

2

m

2

1

×

−3

0.45⋅ 10

πD 2∆p/4

×
⋅ bar

bar ⋅ m

Fbuoyant

Dmax = 82.7m

5

10 ⋅ N

z

To find the maximum allowable payload we perform a force balance on the system:
ΣFz = Fbuoy − M He⋅ g − M b ⋅ g − M ⋅ g = 0
Solving for M:

(

The air density:

ρa ⋅ g ⋅ Vb − ρHe⋅ g ⋅ Vb − ρs ⋅ g ⋅ Vs − M ⋅ g = 0
Mg

)

M = ρa − ρHe ⋅ Vb − ρs ⋅ Vs

The volume of the skin is:

2

Vs = π⋅ D ⋅ t

pa
ρa =
Ra⋅ T

Repeating for helium:

The payload mass is:

M =

6

⋅ bar ×

287⋅ N ⋅ m

×

π
6

1
( 273 − 25) ⋅ K

(

)

3

2

⋅ ρa − ρHe ⋅ D − π⋅ ρs⋅ D ⋅ t
5

×

10 ⋅ N
2

bar ⋅ m

− 3 kg

ρa = 4.215 × 10

3

m

− 4 kg

ρHe = 6.688 × 10

3

m
− 3 kg

× ( 4.215 − 0.6688) × 10

M = 638 kg

kg⋅ K

3

Vb = ⋅ D
6
M=

Therefore, the mass is:
−3

π

π

The volume of the balloon is:

ρa = 3.0 × 10

p
ρHe =
R⋅ T

M bg

⋅

3

m

3

3 kg

× ( 82.7⋅ m) − π × 1.28 × 10 ⋅

3

m

2

−3

× ( 82.7⋅ m) × 0.015 × 10

⋅m

Problem *3.101

[Difficulty: 3]

Given: Geometry of block and rod

F hinge,y
(L + c)/2

Find:

Angle for equilibrium

Fhinge,x

L/2
c

θ

Assumptions: Water is static and incompressible

a

F BR

Solution:

F BB
ΣM Hinge = 0

Basic
equations

FB = ρ⋅ g ⋅ V

WR

(Buoyancy)

L

WB
The free body diagram is as shown. FBB and F BR are the buoyancy of the
block and rod, respectively; c is the (unknown) exposed length of the rod

Taking moments about the hinge
( L + c)

(WB − FBB)⋅ L⋅ cos( θ) − FBR⋅
with

WB = M B⋅ g

FBB = ρ⋅ g ⋅ VB

(

MB =

(
2⋅ L
1
2

2

⋅ L −c

× 1000⋅

M B = 29.1 kg

2

) + ρ⋅VB − 12 ⋅MR

kg
3

m

2

ρ⋅ A⋅ L − c

We can solve for M B
ρ⋅ A

FBR = ρ⋅ g ⋅ ( L − c) ⋅ A

(MB − ρ⋅ VB)⋅ L − ρ⋅ A⋅ ( L − c)⋅

Combining equations

MB =

2

L
⋅ cos( θ) + WR⋅ ⋅ cos( θ) = 0
2

2

× 20⋅ cm ×

2

( L + c)
2

WR = M R⋅ g

L
+ MR⋅ = 0
2

) = 2⋅⎛⎜ MB − ρ⋅VB + 12 ⋅MR⎞ ⋅L
⎝

and since

⎠

c=

2
⎛ m ⎞ × 1 ⋅ ⎡⎢( 5⋅ m) 2 −
⎜
5⋅ m ⎣
⎝ 100 ⋅ cm ⎠

a
sin( θ)

MB =

ρ⋅ A
2⋅ L

⎡

⋅ ⎢L −

⎣

2

2
⎛ a ⎞ ⎤⎥ + ρ⋅ V − 1 ⋅ M
⎜ sin( θ)
B 2 R
⎝
⎠⎦

2
⎛ 0.25⋅ m ⎞ ⎥⎤ + 1000⋅ kg × 0.025 ⋅ m3 − 1 × 1.25⋅ kg
⎜
2
3
⎝ sin( 12⋅ deg) ⎠ ⎦
m

Problem *3.102

[Difficulty: 3]

Given:

Glass hydrometer used to measure SG of liquids. Stem has diameter D=5 mm, distance between marks on stem is
d=2 mm per 0.1 SG. Hydrometer floats in kerosene (Assume zero contact angle between glass and kerosene).

Find:

Magnitude of error introduced by surface tension.

Solution:

We will apply the hydrostatics equations to this system.
Fbuoy = ρ⋅ g ⋅ Vd

Governing Equations:
Assumptions:

(Buoyant force is equal to weight of displaced fluid)
D = 5 mm

(1) Static fluid
(2) Incompressible fluid
(3) Zero contact angle between ethyl alcohol and glass

The surface tension will cause the hydrometer to sink ∆h lower into the liquid. Thus for
this change:
ΣFz = ∆Fbuoy − Fσ = 0

∆Fbuoy = ρ⋅ g ⋅ ∆V = ρ⋅ g ⋅

The change in buoyant force is:

ρ⋅ g ⋅

π
4

Solving for ∆h:

2

⋅ D ⋅ ∆h = π⋅ D⋅ σ

∆h =

4

y
Fσ

Kerosene

2

⋅ D ⋅ ∆h
∆F B

Fσ = π⋅ D⋅ σ⋅ cos( θ) = π⋅ D⋅ σ

The force due to surface tension is:
Thus,

π

d=
2 mm/0.1 SG

ρ⋅ g ⋅ D⋅ ∆h

Upon simplification:

4

4⋅ σ

=σ

From Table A.2, SG = 1.43 and from Table A.4, σ = 26.8 mN/m

ρ⋅ g ⋅ D

−3 N

Therefore, ∆h = 4 × 26.8 × 10

⋅

m

3

×

m

1430⋅ kg

2

×

s

9.81⋅ m

So the change in specific gravity will be: ∆SG = 1.53 × 10

1

×

−3

−3

5 × 10
⋅m ×

×
⋅m

kg⋅ m
2

−3

m

s ⋅N

0.1

∆SG = 0.0765

−3

2 × 10

∆h = 1.53 × 10

⋅m

From the diagram, surface tension acts to cause the hydrometer to float lower in the liquid. Therefore, surface tension results in an
indicated specific gravity smaller than the actual specific gravity.

Problem *3.103

[Difficulty:4]

Given:

Sphere partially immersed in a liquid of specific gravity SG.

Find:

(a) Formula for buoyancy force as a function of the submersion depth d
(b) Plot of results over range of liquid depth

Solution:

We will apply the hydrostatics equations to this system.
Fbuoy = ρ⋅ g ⋅ Vd

Governing Equations:
Assumptions:

(Buoyant force is equal to weight of displaced fluid)

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts everywhere

d

We need an expression for the displaced volume of fluid at an arbitrary
depth d. From the diagram we see that:

(

(

))

d = R 1 − cos θmax

at an arbitrary depth h:

h = d − R⋅ ( 1 − cos( θ) )

R
dθ

r = R⋅ sin( θ)
Rsin θ

So if we want to find the volume of the submerged portion of the sphere we calculate:
θmax
θ
θ
⌠ max 2
⌠ max 2
3
2
3⌠
( sin( θ) ) dθ
R ⋅ ( sin( θ) ) ⋅ R⋅ sin( θ) dθ = π⋅ R ⋅ ⎮
Vd = ⎮
π r dh = π⋅ ⎮
⌡
⌡
⌡

Evaluating the integral we get:

0

0

0

h

θmax

⎡⎢ cos θ
( ( max))3
Vd = π⋅ R ⋅ ⎢
− cos( θmax) +
3
⎣
3

⎤
3
⎡
d
d⎞
2⎤
d
3 1⎛
we
get:
Now
since:
⎢
cos
θ
=
1
−
V
π
⋅
R
1
−
=
⋅
− ⎛⎜ 1 − ⎞ + ⎥
(
)
⎜
⎥
max
d
3⎦
R
R⎠
R ⎠ 3⎦
⎣3 ⎝
⎝
2⎥

⎡
d
2⎤
d
3 1
Fbuoy = ρw⋅ SG⋅ g ⋅ π⋅ R ⋅ ⎢ ⋅ ⎛⎜ 1 − ⎞ − ⎜⎛ 1 − ⎞ + ⎥
R⎠
R ⎠ 3⎦
⎣3 ⎝
⎝
3

Thus the buoyant force is:

If we non-dimensionalize by the force on a fully submerged sphere:

Fd =

Fbuoy
4
3
ρw⋅ SG⋅ g ⋅ ⋅ π⋅ R
3

=

3 ⎡1

3 ⎡1
d
2⎤
d
Fd = ⎢ ⋅ ⎛⎜ 1 − ⎞ − ⎜⎛ 1 − ⎞ + ⎥
4 ⎣3 ⎝
R⎠
R ⎠ 3⎦
⎝

3
⎤
d
⎢ ⋅ ⎛⎜ 1 − ⎞ − ⎜⎛ 1 − d ⎞ + 2⎥
4 ⎣3 ⎝
R⎠
R ⎠ 3⎦
⎝

3

Force Ratio Fd

1.0

0.5

0.0
0.0

0.5

1.0
Submergence Ratio d/R

1.5

2.0

Problem 3.104

[Difficulty: 2]

Given: Geometry of rod
Find:

(L + c)/2

How much of rod is submerged; force to lift rod out of water

L/2
c

Solution:
Basic equations

θ
ΣM Hinge = 0

FB = ρ⋅ g ⋅ V

(Buoyancy)

FBR
WR

The free body diagram is as shown. FBR is the buoyancy of the rod; c is
the (unknown) exposed length of the rod

L

Taking moments about the hinge
−FBR⋅

( L + c)
2

L
⋅ cos( θ) + WR⋅ ⋅ cos( θ) = 0
2

with

FBR = ρ⋅ g ⋅ ( L − c) ⋅ A

Hence

−ρ⋅ A⋅ ( L − c) ⋅

We can solve for c

(

2

2

2

L⋅ M R

L −

ρ⋅ A
3

2

c =

L
+ M R⋅ = 0
2

) = MR⋅ L

2

ρ⋅ A⋅ L − c

c=

( L + c)

WR = M R⋅ g

( 5 ⋅ m) − 5 ⋅ m ×

m

1000⋅ kg

×

1

⋅

20

2

1
cm

2

⎛ 100 ⋅ cm ⎞ × 1.25⋅ kg
⎜ 1⋅ m
⎝
⎠

×

c = 4.68 m

Then the submerged length is

L − c = 0.323 m

To lift the rod out of the water requires a force equal to half the rod weight (the reaction also takes half the weight)

F=

1
2

⋅ MR⋅ g =

1
2

× 1.25⋅ kg × 9.81⋅

m
2

s

2

×

N⋅ s

kg⋅ m

F = 6.1 N

a

Problem *3.105

[Difficulty: 2]

FB

y
x

H = 60 cm
W

θ
h = 5 cm

Given:

Data on river

Find:

Largest diameter of log that will be transported

Solution:
Basic equation

FB = ρ⋅ g ⋅ Vsub

ΣFy = 0

where

FB = ρ⋅ g ⋅ Vsub = ρ⋅ g ⋅ Asub ⋅ L

and

ΣFy = 0 = FB − W

W = SG⋅ ρ⋅ g ⋅ V = SG⋅ ρ⋅ g ⋅ A ⋅ L
2

R
Asub =
⋅ ( θ − sin ( θ) )
2

From references (e.g. CRC Mathematics Handbook)

Hence

ρ⋅ g ⋅

R

2

2

where R is the radius and θ is
the included angle

2

⋅ ( θ − sin ( θ) ) ⋅ L = SG⋅ ρ⋅ g ⋅ π⋅ R ⋅ L

θ − sin( θ) = 2 ⋅ SG ⋅ π = 2 × 0.8 × π

This equation can be solved by manually iterating, or by using a good calculator, or by using Excel's Goal Seek
θ = 239 ⋅ deg
From geometry the submerged amount of a log is H − h

Hence

H − h = R + R⋅ cos⎛⎜ π −

Solving for R

R=

⎝

R + R⋅ cos⎛⎜ π −

⎝

θ⎞
2⎠

θ⎞
2⎠

H− h
θ⎞

1 + cos⎛⎜ 180deg −
2⎠
⎝

D = 2⋅ R

and also

R =

( 0.6 − 0.05) ⋅ m
239 ⎞
⋅ deg⎥⎤
1 + cos⎡⎢⎜⎛ 180 −
2 ⎠
⎣⎝
⎦

D = 0.737 m

R = 0.369 m

Problem *3.106

[Difficulty: 4]

Given:

Data on sphere and tank bottom

Find:

Expression for SG of sphere at which it will float to surface;
minimum SG to remain in position

y

FU

FB

x

Assumptions: (1) Water is static and incompressible
(2) Sphere is much larger than the hole at the bottom of the tank

Solution:

FL

FB = ρ⋅ g ⋅ V

Basic equations

and

FL = p atm⋅ π⋅ a

where

ΣFy = FL − FU + FB − W

2

FU = ⎡p atm + ρ⋅ g ⋅ ( H − 2 ⋅ R)⎤ ⋅ π⋅ a
⎣
⎦

2

4
3
2
Vnet = ⋅ π⋅ R − π⋅ a ⋅ 2 ⋅ R
3

FB = ρ⋅ g ⋅ Vnet

W = SG ⋅ ρ⋅ g ⋅ V

W

V=

with

4
3

⋅ π⋅ R

3

Now if the sum of the vertical forces is positive, the sphere will float away, while if the sum is zero or negative the sphere will stay
at the bottom of the tank (its weight and the hydrostatic force are greater than the buoyant force).
Hence

4
4
2
2
3
2
3
ΣFy = p atm⋅ π⋅ a − ⎡p atm + ρ⋅ g ⋅ ( H − 2 ⋅ R)⎤ ⋅ π⋅ a + ρ⋅ g ⋅ ⎜⎛ ⋅ π⋅ R − 2 ⋅ π⋅ R⋅ a ⎞ − SG⋅ ρ⋅ g ⋅ ⋅ π⋅ R
⎣
⎦
3
3

⎝

4 3
2
ΣFy = π⋅ ρ⋅ g ⋅ ⎢⎡( 1 − SG ) ⋅ ⋅ R − H⋅ a ⎥⎤
3
⎣
⎦

This expression simplifies to

ΣFy = π × 1.94⋅

slug
ft

ΣFy = −0.012 ⋅ lbf

⎠

3

× 32.2⋅

ft
2

s

×

2
3
2⎤
⎡4
⎢ × ( 1 − 0.95) × ⎛⎜ 1⋅ in × ft ⎞ − 2.5⋅ ft × ⎛⎜ 0.075 ⋅ in × ft ⎞ ⎥ × lbf ⋅ s
12⋅ in ⎠
12⋅ in ⎠ ⎦ slug⋅ ft
⎣3
⎝
⎝

Therefore, the sphere stays at the bottom of the tank.

Problem *3.107

[Difficulty: 4]

Given:

Cylindrical timber, D = 1 ft and L = 15 ft, is weighted on the lower end so that is floats vertically with 10 ft
submerged in sea water. When displaced vertically from equilibrium, the timber oscillates in a vertical direction
upon release.

Find:

Estimate the frequency of the oscillation. Neglect viscous forces or water motion.

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:
Assumptions:

Fbuoy  ρ g  Vd

(1) Static fluid
(2) Incompressible fluid
(3) Atmospheric pressure acts everywhere
(4) Viscous effects and water motion are negligible.

ΣFy  Fbuoy  M  g  0

At equilibrium:

(Buoyant force is equal to weight of displaced fluid)

D = 1 ft

M  ρ Vd  ρ A  d
2

ΣFy  Fbuoy  M  g  M 

Once the timber is displaced:

d y
dt

2

2

ρ g  A ( d  y )  M  g  M 

d y
2

2

ρ g  A  d  ρ g  A  y  ρ A  d  g  M 

dt

d y
dt

2

Thus we have the equation:

M

2

2

d y
dt

 ρ g  A  y  0

2

or:

d y
2

dt



ρ g  A
ρ A d

ω

g
d

To express this as a frequency:

ω 

32.2 ft
s

f 

ω
2 π

2



2

y  0

d y
2



dt

2

This ODE describes simple harmonic motion with the natural frequency ω described by:

Solving for ω:

d =10 ft
(Equilibrium
Depth)

L

ω 

g
d

y  0

g
d

1

ω  1.7944

10 ft

1.7944
f 

2 π

rad

1
s

f  0.286 Hz

s

Problem *3.108

[Difficulty: 3]

Given:

Data on boat

Find:

Effective density of water/air bubble mix if boat sinks

Floating
H = 8 ft

Solution:
Basic equations

Sinking

h = 7 ft
FB = ρ⋅ g ⋅ V

ΣFy = 0

and

θ = 60 o

We can apply the sum of forces for the "floating" free body
ΣFy = 0 = FB − W

FB = SGsea⋅ ρ⋅ g ⋅ Vsubfloat

where
2

1
2⋅ h ⎞
L⋅ h
Vsubfloat = ⋅ h ⋅ ⎛⎜
⋅L =
2 ⎝ tan⋅ θ ⎠
tan( θ)

Hence

W=

SGsea⋅ ρ⋅ g ⋅ L⋅ h

SGsea = 1.024

(Table A.2)

2

(1)

tan( θ)

We can apply the sum of forces for the "sinking" free body
2

ΣFy = 0 = FB − W

1
2⋅ H ⎞
L⋅ H
Vsubsink = ⋅ H⋅ ⎛⎜
⋅L =
2 ⎝ tan⋅ θ ⎠
tan( θ)

FB = SGmix⋅ ρ⋅ g ⋅ Vsub

where
2

Hence

W=

Comparing Eqs. 1 and 2

SGmix⋅ ρ⋅ g ⋅ L⋅ H

(2)

tan( θ)

W=

SGsea⋅ ρ⋅ g ⋅ L⋅ h

2

tan( θ)

h
SGmix = SGsea ⋅ ⎛⎜ ⎞
H

⎝ ⎠

The density is

ρmix = SGmix⋅ ρ

2

=

SGmix⋅ ρ⋅ g ⋅ L⋅ H
tan( θ)

2

SGmix = 1.024 ×

⎛7⎞
⎜8
⎝ ⎠

ρmix = 0.784 × 1.94⋅

2

SGmix = 0.784

slug
ft

3

ρmix = 1.52⋅

slug
ft

3

Problem *3.109

[Difficulty: 2]

FB

F
20 cm

D = 10 cm

8 cm

2 cm
W

y
x

Given:

Data on inverted bowl and dense fluid

Find:

Force to hold in place

Assumption: Fluid is static and incompressible
Solution:
Basic equations

FB = ρ⋅ g ⋅ V

Hence

F = FB − W

For the buoyancy force

FB = SG fluid ⋅ ρH2O⋅ g ⋅ Vsub

For the weight

W = SG bowl⋅ ρH2O⋅ g ⋅ Vbowl

Hence

(

and

ΣFy = 0

ΣFy = 0 = FB − F − W

with

Vsub = Vbowl + Vair

)

F = SGfluid⋅ ρH2O⋅ g ⋅ Vbowl + Vair − SG bowl⋅ ρH2O⋅ g ⋅ Vbowl

(

)

F = ρH2O⋅ g ⋅ ⎡SG fluid⋅ Vbowl + Vair − SGbowl⋅ Vbowl⎤
⎣
⎦
3
2
3 ⎞⎤
2
⎡
⎛
⎡
m
π⋅ ( 0.1⋅ m) ⎤
⎥ − 5.7 × ⎜ 0.9⋅ L × m ⎥ × N ⋅ s
F = 999⋅
× 9.81⋅
+ ( 0.08 − 0.02) ⋅ m⋅
× ⎢15.6 × ⎢0.9⋅ L ×
3
2 ⎣
1000⋅ L
4
1000⋅ L ⎠⎦ kg⋅ m
⎣
⎦
⎝
m
s

kg

F = 159.4 N

m

Problem *3.110

[Difficulty: 4]

Open-Ended Problem Statement: In the “Cartesian diver” child's toy, a miniature “diver” is
immersed in a column of liquid. When a diaphragm at the top of the column is pushed down, the diver
sinks to the bottom. When the diaphragm is released, the diver again rises. Explain how the toy might
work.

Discussion: A possible scenario is for the toy to have a flexible bladder that contains air. Pushing
down on the diaphragm at the top of the liquid column would increase the pressure at any point in the
liquid. The air in the bladder would be compressed slightly as a result. The volume of the bladder, and
therefore its buoyancy, would decrease, causing the diver to sink to the bottom of the liquid column.
Releasing the diaphragm would reduce the pressure in the water column. This would allow the bladder to
expand again, increasing its volume and therefore the buoyancy of the diver. The increased buoyancy
would permit the diver to rise to the top of the liquid column and float in a stable, partially submerged
position, on the surface of the liquid.

Problem *3.111

[Difficulty: 4]

Open-Ended Problem Statement: Consider a conical funnel held upside down and submerged
slowly in a container of water. Discuss the force needed to submerge the funnel if the spout is open to the
atmosphere. Compare with the force needed to submerge the funnel when the spout opening is blocked by a
rubber stopper.

Discussion: Let the weight of the funnel in air be Wa. Assume the funnel is held with its spout vertical
and the conical section down. Then Wa will also be vertical.
Two possible cases are with the funnel spout open to atmosphere or with the funnel spout sealed.
With the funnel spout open to atmosphere, the pressures inside and outside the funnel are equal, so no net
pressure force acts on the funnel. The force needed to support the funnel will remain constant until it first
contacts the water. Then a buoyancy force will act vertically upward on every element of volume located
beneath the water surface.
The first contact of the funnel with the water will be at the widest part of the conical section. The buoyancy
force will be caused by the volume formed by the funnel thickness and diameter as it begins to enter the
water. The buoyancy force will reduce the force needed to support the funnel. The buoyancy force will
increase as the depth of submergence of the funnel increases until the funnel is fully submerged. At that
point the buoyancy force will be constant and equal to the weight of water displaced by the volume of the
material from which the funnel is made.
If the funnel material is less dense than water, it would tend to float partially submerged in the water. The
force needed to support the funnel would decrease to zero and then become negative (i.e., down) to fully
submerge the funnel.
If the funnel material were denser than water it would not tend to float even when fully submerged. The
force needed to support the funnel would decrease to a minimum when the funnel became fully submerged,
and then would remain constant at deeper submersion depths.
With the funnel spout sealed, air will be trapped inside the funnel. As the funnel is submerged gradually
below the water surface, it will displace a volume equal to the volume of the funnel material plus the
volume of trapped air. Thus its buoyancy force will be much larger than when the spout is open to
atmosphere. Neglecting any change in air volume (pressures caused by submersion should be small
compared to atmospheric pressure) the buoyancy force would be from the entire volume encompassed by
the outside of the funnel. Finally, when fully submerged, the volume of the rubber stopper (although small)
will also contribute to the total buoyancy force acting on the funnel.

Problem *3.112

[Difficulty: 2]

Given:

Steel balls resting in floating plastic shell in a bucket of water

Find:

What happens to water level when balls are dropped in water

Solution:

Basic equation FB  ρ Vdisp g  W

for a floating body weight W

When the balls are in the plastic shell, the shell and balls displace a volume of water equal to their own weight - a large volume
because the balls are dense. When the balls are removed from the shell and dropped in the water, the shell now displaces only a
small volume of water, and the balls sink, displacing only their own volume. Hence the difference in displaced water before and
after moving the balls is the difference between the volume of water that is equal to the weight of the balls, and the volume of the
balls themselves. The amount of water displaced is significantly reduced, so the water level in the bucket drops.

Volume displaced before moving balls: V1 

Wplastic  Wballs
ρ g
Wplastic

Volume displaced after moving balls:

V2 

Change in volume displaced

∆V  V2  V1  Vballs 

ρ g



 Vballs

∆V  Vballs  1  SG balls

Wballs
ρ g

 Vballs 

SGballs  ρ g  Vballs
ρ g



Hence initially a large volume is displaced; finally a small volume is displaced (ΔV < 0 because SGballs > 1)

Problem *3.113

[Difficulty: 4]

Open-Ended Problem Statement: A proposed ocean salvage scheme involves pumping air
into “bags” placed within and around a wrecked vessel on the sea bottom. Comment on the practicality of
this plan, supporting your conclusions with analyses.

Discussion: This plan has several problems that render it impractical. First, pressures at the sea bottom
are very high. For example, Titanic was found in about 12,000 ft of seawater. The corresponding pressure
is nearly 6,000 psi. Compressing air to this pressure is possible, but would require a multi-stage compressor
and very high power.
Second, it would be necessary to manage the buoyancy force after the bag and object are broken loose from
the sea bed and begin to rise toward the surface. Ambient pressure would decrease as the bag and artifact
rise toward the surface. The air would tend to expand as the pressure decreases, thereby tending to increase
the volume of the bag. The buoyancy force acting on the bag is directly proportional to the bag volume, so
it would increase as the assembly rises. The bag and artifact thus would tend to accelerate as they approach
the sea surface. The assembly could broach the water surface with the possibility of damaging the artifact
or the assembly.
If the bag were of constant volume, the pressure inside the bag would remain essentially constant at the
pressure of the sea floor, e.g., 6,000 psi for Titanic. As the ambient pressure decreases, the pressure
differential from inside the bag to the surroundings would increase. Eventually the difference would equal
sea floor pressure. This probably would cause the bag to rupture.
If the bag permitted some expansion, a control scheme would be needed to vent air from the bag during the
trip to the surface to maintain a constant buoyancy force just slightly larger than the weight of the artifact in
water. Then the trip to the surface could be completed at low speed without danger of broaching the surface
or damaging the artifact.

Problem *3.114

Given:

[Difficulty: 3]

Cylindrical container rotating as in Example 3.10
R = 0.25⋅ m h o = 0.3⋅ m

f = 2 ⋅ Hz

Find:

(a) height of free surface at the entrance
(b) if solution depends on ρ

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:
Assumptions:

(Hydrostatic equation)

(1) Incompressible fluid
(2) Atmospheric pressure acts everywhere

In order to obtain the solution we need an expression for the shape of the free surface in terms of ω, r, and h o. The required
expression was derived in Example 3.10. The equation is:

z = ho −

( ω⋅ R)

2

2⋅ g

⎡1

⋅⎢

⎣2

−

2
⎛ r ⎞ ⎥⎤
⎜R
⎝ ⎠⎦

The angular velocity ω is related to the frequency of rotation through:
h1 = ho −

Now since h1 is the z value which corresponds to r = 0:

Substituting known values:

h 1 = 0.3⋅ m −

1
4

× ⎛⎜ 12.57 ⋅

⎝

ω = 2 ⋅ π⋅ f

rad
s

( ω⋅ R)

rad
s

= 12.57 ⋅

2

4⋅ g

2

× 0.25⋅ m⎞ ×

⎠

ω = 2⋅ π × 2⋅

2

s

9.81⋅ m

The solution is independent of ρ because the equation of the free surface is independent of ρ as well.

h 1 = 0.05 m

rad
s

Problem *3.115

[Difficulty: 2]

Given:

U-tube accelerometer

Find:

Acceleration in terms of h and L

Solution:

We will apply the hydrostatics equations to this system.

Governing Equations:

(Hydrostatic equation in x-direction)

(Hydrostatic equation in y-direction)

Assumptions:

(1) Incompressible fluid
(2) Neglect sloshing
(3) Ignore corners
(4) Both ends of U-tube are open to atmosphere

In the coordinate system we are using, we can see that:

Thus,

∂p
= − ρa
∂x

∂p
= − ρg
∂y

ax = a

ay = 0 g x = 0 g y = −g

dp =

Now if we evaluate Δp from left to right in the U-tube:

∂p
∂p
∆x +
∆y
∂x
∂y

We may also write this expression as:

∆p =

Simplifying this expression:

∆p = ρ⋅ a⋅ L − ρ⋅ g ⋅ h = 0

∂p
∂p
dy
dx +
∂x
∂y

∆p = ( −ρ⋅ g ) ⋅ ( −b ) + ( −ρ⋅ a) ⋅ ( −L) + ( −ρ⋅ g ) ⋅ ( b + h ) = 0

Solving for h:

h=

a⋅ L
g

Problem *3.116

[Difficulty: 2]

Given:

Rectangular container with constant acceleration

Find:

Slope of free surface

Solution:

Basic equation

In components


 p  ρ g x  ρ ax
x


 p  ρ g y  ρ ay
y


 p  ρ g z  ρ az
z

We have

ay  az  0

g x  g  sin( θ)

g y  g  cos( θ)

Hence


 p  ρ g  sin( θ)  ρ ax
x


 p  ρ g  cos( θ)  0
y

(1)

From Eq. 3 we can simplify from

p  p ( x y z)

Hence a change in pressure is given by

dp 

At the free surface p = const., so


x

p  dx 

dp  0 


x

y

p  dy



p  dx 

y

p  dy

dy

or

dx



x

y


Hence at the free surface, using Eqs 1 and 2

dy
dx



x

y

p


ρ g  sin( θ)  ρ ax

dy
dx

ρ g  cos( θ)

p

9.81 ( 0.5) 

m
2

 3

s



9.81 ( 0.866 ) 

dy
dx

 0.224

m
2

s
m
2

s
At the free surface, the slope is

(3)

p  p ( x y )

to



 p 0
z

(2)

gz  0



g  sin( θ)  ax
g  cos( θ)

p
at the free surface
p

Problem *3.117

Given:

Spinning U-tube sealed at one end

Find:

Maximum angular speed for no cavitation

[Difficulty: 2]

Assumptions: (1) water is incompressible
(2) constant angular velocity

Solution:

Basic equation
2

⎛∂ ⎞
V
2
= −ρ⋅ ω ⋅ r
−⎜ p = ρ⋅ ar = −ρ⋅
r
⎝∂r ⎠

In components

∂

Between D and C, r = constant, so

∂z
∂

Between B and A, r = constant, so

∂z

∂
∂z

p = −ρ⋅ g

p = −ρ⋅ g

and so

p D − p C = −ρ⋅ g ⋅ H

(1)

p = −ρ⋅ g

and so

p A − p B = −ρ⋅ g ⋅ H

(2)

and so

⌠ C
⌠
2
⎮ 1 dp = ⎮ ρ⋅ ω ⋅ r dr
⌡
⌡p
0

p

∂

Between B and C, z = constant, so

∂r

2

p = ρ⋅ ω ⋅ r

B

2

Integrating

2 L
p C − p B = ρ⋅ ω ⋅
2

Since p D = p atm, then from Eq 1

p C = p atm + ρ⋅ g ⋅ H

From Eq. 3

From Eq. 2

2 L

L

(3)

2

2 L

2

p B = p C − ρ⋅ ω ⋅
2

so

p B = p atm + ρ⋅ g ⋅ H − ρ⋅ ω ⋅
2

p A = p B − ρ⋅ g ⋅ H

so

2 L
p A = p atm − ρ⋅ ω ⋅
2

2

Thus the minimum pressure occurs at point A (not B). Substituting known data to find the pressure at A:
p A = 14.7⋅

lbf
2

in

− 1.94⋅

slug
ft

3

× ⎛⎜ 1600⋅

⎝

rev
min

×

2 ⋅ π⋅ rad
rev

At 68oF from steam tables, the vapor pressure of water is

×

min ⎞

60⋅ s ⎠

2

×

1
2

× ⎛⎜ 3 ⋅ in ×

⎝

p v = 0.339 ⋅ psi

2

2

2

⎞ × lbf ⋅ s × ⎛ ft ⎞ = 2.881 ⋅ lbf
⎜
12⋅ in ⎠
slug⋅ ft ⎝ 12⋅ in ⎠
2
in
ft

which is less than the pressure at A.
Therefore, cavitation does not occur.:

Problem *3.118

[Difficulty: 2]

Given:

Spinning U-tube sealed at one end

Find:

Pressure at A; water loss due to leak

Assumption:

Water is incompressible; centripetal acceleration is constant

Solution:

Basic equation

From the analysis of Example Problem 3.10, solving the basic equation, the pressure p at any point (r,z) in a continuous
rotating fluid is given by
2

p = p0 +

ρ⋅ ω

⋅ ⎛ r − r0
2 ⎝
2

2⎞

⎠ − ρ⋅ g⋅ ( z − z0)

(1)

In this case

p = pA

The speed of rotation is

ω = 300 ⋅ rpm

ω = 31.4⋅

p D = 0 ⋅ kPa

(gage)

The pressure at D is
2

Hence

pA =

ρ⋅ ω
2

p0 = pD

where p 0 is a reference pressure at point (r0,z0)
z = zA = zD = z0 = H

( 2) − ρ⋅g⋅(0) = − ρ⋅ω2 ⋅L
2

2

⋅ −L

p A = −0.42⋅ psi

=−

r= 0

r0 = rD = L

rad

1
2

s

× 1.94⋅

slug
ft

3

× ⎛⎜ 31.4⋅

⎝

rad ⎞
s

2

⎠

2

× ( 3 ⋅ in) ×

4

2

⎛ 1 ⋅ ft ⎞ × lbf ⋅ s
⎜
slug⋅ ft
⎝ 12⋅ in ⎠

(gage)

When the leak appears,the water level at A will fall, forcing water out at point D. Once again, from the analysis
of Example Problem 3.10, we can use Eq 1
In this case

p = pA = 0

Hence

0=

2

ρ⋅ ω
2

p0 = pD = 0

The amount of water lost is

z0 = zD = H

r= 0

r0 = rD = L

( 2) − ρ⋅g⋅(zA − H)

⋅ −L
2

zA = H −

z = zA

ω ⋅L
2⋅ g

2

= 12in −

1
2

× ⎛⎜ 31.4⋅

⎝

rad ⎞
s

⎠

∆h = H − zA = 12⋅ in − 0.52⋅ in

2

2

× ( 3 ⋅ in) ×

2

s

32.2⋅ ft

×

1 ⋅ ft
12⋅ in

∆h = 11.48 ⋅ in

zA = 0.52⋅ in

Problem *3.119

[Difficulty: 2]

ω


R


Given:

Centrifugal manometer consists of pair of parallel disks that rotate to develop a
radial pressure difference. There is no flow between the disks.

Find:

(a) an expression for the pressure difference, ∆p, as a function of ω, R, and ρ.
(b) find ω if ∆p = 8 µm H2O and R = 50 mm

Solution:

We will apply the hydrostatics equations to this system.

G
G
− ∇ p + ρg = ρa

Governing Equations:

∂p
+ ρ g r = ρa r
∂r

−

Assumptions:

(1) Incompressible fluid
(2) Standard air between disks
(3) Rigid body motion
(4) Radial direction is horizontal

For rigid body motion:

ar = −

2

V
r

(Hydrostatic equation)

=−

( r⋅ ω)

2

r

2

= −r⋅ ω

(Hydrostatic equation in radial direction)

In addition, since r is horizontal:

gr = 0

∂p
= ρ rω 2
∂r

Thus, the hydrostatic equation becomes:

We can solve this expression by separating variables and integrating:
2⌠

R

∆p = ρ⋅ ω ⋅ ⎮
⌡

2

Evaluating the integral on the right hand side:

r dr

0

ω=

Solving for the rotational frequency:

2 ⋅ ∆p
ρ⋅ R

Therefore:

Substituting in values:

ω=

ω =

2⋅

2×

The pressure differential can be expressed as:

2

∆p =

ρ⋅ ω ⋅ R

2

2

∆p = ρ⋅ g ⋅ ∆h

ρw g ⋅ ∆h
⋅
ρair
2
R
999
1.225

× 9.81⋅

m
2

s

−6

× 8 × 10

⋅m ×

1

(50 × 10− 3⋅m)

2

ω = 7.16⋅

rad
s

Problem *3.120

[Difficulty: 2]

ω = 1000 s-1
ρ
r1

r2

Given:

Test tube with water

Find:

(a) Radial acceleration
(b) Radial pressure gradient
(c) Rotational speed needed to generate 250 MPa pressure at the bottom of the tube

Solution:

We will apply the hydrostatics equations to this system.

G
G
− ∇ p + ρg = ρa

Governing Equations:

−

∂p
+ ρ g r = ρa r
∂r

(1) Incompressible fluid
(2) Rigid body motion
(3) Radial direction is horizontal

For rigid body motion:

ar = −

2

In addition, since r is horizontal:

r

=−

( r⋅ ω)

2

r

gr = 0

r2 = 130 mm

(Hydrostatic equation)

Assumptions:

V

r1 = 50 mm

(Hydrostatic equation in radial direction)

2

2

= −r⋅ ω

ar = −r⋅ ω

∂p
= ρ rω 2
∂r

Thus, the hydrostatic equation becomes:

We can solve this expression by separating variables and integrating:

r2
2⌠

∆p = ρ⋅ ω ⋅ ⎮ r dr
⌡r
1

2

∆p =

Evaluating the integral on the right hand side:

Substituting in values:

ω =

6 N

2 × 250 × 10 ⋅

2

m

ω = 938 ⋅ Hz

ρ⋅ ω

⋅ ⎛ r − r1
2 ⎝2
2

2⎞

⎠

Solving for ω:

3

×

m

999 ⋅ kg

×

ω=

1

(130 × 10− 3⋅m) − (50 × 10− 3⋅m)
2

2

×

2 ⋅ ∆p
ρ⋅ ⎛ r2 − r1
⎝
2

kg⋅ m
2

N⋅ s

×

2⎞

⎠

rev
2 ⋅ π⋅ rad

Problem *3.121

[Difficulty: 3]

Given:

Rectangular container of base dimensions 0.4 m x 0.2 m and a height of 0.4 m is filled with water to a depth of d =
0.2 m. Mass of empty container is M c = 10 kg. The container slides down an incline of θ = 30 deg with respect to
the horizontal. The coefficient of sliding friction is 0.30.

Find:

The angle of the water surface relative to the horizontal.

y
x

Solution:

α

We will apply the hydrostatics equations to this system.

Governing Equations:

Assumptions:

θ

G
G
− ∇p + ρg = ρa (Hydrostatic equation)
G
G
(Newton's Second Law)
F = Ma

(1) Incompressible fluid
(2) Rigid body motion

Writing the component relations:

−

∂p
= ρa x
∂x

We write the total differential of pressure as:

∂p
= − ρa x
∂x

dp =

∂p
∂p
dy
dx +
∂x
∂y

dy
a x and
∂p ∂x
dy
α = atan⎛⎜ − ⎞
=−
=−
⎝ dx ⎠
dx
∂p ∂y
g + ay
M = M c + M w = M c + ρw⋅ Vw

−

∂p
− ρg = ρa y
∂y

∂p
= − ρ (g + a y )
∂y

Now along the free surface of the water dp = 0. Thus:

To determine the acceleration components we analyze a free-body diagram:

M = 10⋅ kg + 999 ⋅

kg
3

× 0.4⋅ m × 0.2⋅ m × 0.2⋅ m

M = 25.98 kg

m
ΣFy' = 0 = N − M ⋅ g ⋅ cos( θ)

N = M ⋅ g ⋅ cos( θ)

N = 25.98 ⋅ kg × 9.81⋅

m
2

2

N⋅ s

× cos( 30⋅ deg) ×

kg⋅ m

s
ΣFx' = M ⋅ ax' = M ⋅ g ⋅ sin( θ) − Ff = M ⋅ g ⋅ sin( θ) − μ⋅ N

ax' = 9.81⋅

m
2

× sin( 30⋅ deg) − 0.30 × 220.7 ⋅ N ×

s

ax' = g ⋅ sin( θ) − μ⋅

1
25.98 ⋅ kg

×

kg⋅ m
2

N⋅ s

y

N
x

M

ax' = 2.357

m
2

× cos( 30⋅ deg)

ax = 2.041

s
Thus,

m
2

s
α = atan⎛⎜

2.041

⎞

⎝ 9.81 − 1.178 ⎠

α = 13.30 ⋅ deg

ay = −2.357 ⋅

2

s

m
2

s

F f = µN

y’

m

Now that we have the acceleration in the x'-y' system, we transform it to the x-y system:
ax = 2.357 ⋅

N = 220.7 N

x’

ax = ax'⋅ cos( θ)

× sin( 30⋅ deg)

θ

N

Mg

ay = −ax'⋅ sin( θ)
ay = −1.178

m
2

s

Problem *3.122

[Difficulty: 3]

Given:

Rectangular container of base dimensions 0.4 m x 0.2 m and a height of 0.4 m is filled with water to a depth of d =
0.2 m. Mass of empty container is M c = 10 kg. The container slides down an incline of θ = 30 deg with respect to
the horizontal without friction.

Find:

(a) The angle of the water surface relative to the horizontal.
(b) The slope of the free surface for the same acceleration up the plane.

Solution:

We will apply the hydrostatics equations to this system.

G
G
− ∇ p + ρg = ρa
G
G
F = Ma

Governing Equations:

Assumptions:

y
x

α

(Hydrostatic equation)
(Newton's Second Law)

θ

(1) Incompressible fluid
(2) Rigid body motion

−

Writing the component relations:

∂p
= ρa x
∂x

We write the total differential of pressure as:

ax
∂p ∂x
dy
=−
=−
dx
∂p ∂y
g + ay
M = M c + M w = M c + ρw⋅ Vw

dp =

α = atan⎛⎜ −

and

∂p
= − ρa x
∂x

−

∂p
∂p
dy
dx +
∂x
∂y

dy ⎞

Now along the free surface of the water dp = 0. Thus:

To determine the acceleration components we analyze a free-body diagram:

⎝ dx ⎠

M = 10⋅ kg + 999 ⋅

∂p
= − ρ (g + a y )
∂y

∂p
− ρg = ρa y
∂y

kg
3

× 0.4⋅ m × 0.2⋅ m × 0.2⋅ m

M = 25.98 kg

m
ΣFx' = M ⋅ ax' = M ⋅ g ⋅ sin( θ) ax' = g ⋅ sin( θ)

ax = ax'⋅ cos( θ) = g ⋅ sin( θ) ⋅ cos( θ)
ay = −ax'⋅ sin( θ) = g ⋅ ( sin( θ) )

Thus,

dy
dx

=−

g ⋅ sin( θ) ⋅ cos( θ)
2
g ⎡⎣1 − ( sin( θ) ) ⎤⎦

=−

sin( θ) ⋅ cos( θ)
( cos( θ) )

2

slope =

g ⋅ sin( θ) ⋅ cos( θ)
2⎤

g ⎡⎣1 + ( sin( θ) ) ⎦

=−

sin( θ) ⋅ cos( θ)
1 + ( sin( θ) )

2

x

2

Ff = µN

y’
=−

sin( θ)
cos( θ)

For the acceleration up the incline: ax = −g ⋅ sin( θ) ⋅ cos( θ)

Thus,

y

= −tan( θ)

α = 30⋅ deg

x’
ay = g ⋅ ( sin( θ) )

slope =

θ

N

Mg

2

sin( 30⋅ deg) ⋅ cos( 30⋅ deg)
1 + ( sin( 30⋅ deg) )

2

slope = 0.346

Problem *3.123

[Difficulty: 3]

Given:

Cubical box with constant acceleration

Find:

Slope of free surface; pressure along bottom of box

Solution:

Basic equation

In components

∂
− p + ρ⋅ g x = ρ⋅ ax
∂x

∂
− p + ρ⋅ g y = ρ⋅ ay
∂y

∂
− p + ρ⋅ g z = ρ⋅ az
∂z

We have

ax = ax

ay = 0

az = 0

gz = 0

Hence

∂

∂

(3)

∂x

gx = 0

∂

p = −SG⋅ ρ⋅ ax (1)

∂y

p = −SG⋅ ρ⋅ g

From Eq. 3 we can simplify from

p = p ( x , y , z)

Hence a change in pressure is given by

dp =

dy

Hence at the free surface

dx

L = 80⋅ cm at the midpoint x =

L

y=

2

On the bottom y = 0 so

∂x

p ⋅ dy

p ⋅ dx +

x=0

y=

5
8

⋅L

∂
∂
∂y

p ⋅ dy

dy

or

=−

dx

∂x
∂

p
=−
p

ax

=−

g

0.25⋅ g
g

= −0.25

x
4

+C

and through volume conservation the fluid rise in the rear
balances the fluid fall in the front, so at the midpoint the
free surface has not moved from the rest position

(box is half filled)

2

so

p =0

(4)

1 L
=− ⋅ +C
2
4 2
L

dp = −SG ⋅ ρ⋅ ax ⋅ dx − SG ⋅ ρ⋅ g ⋅ dy

Combining Eqs 1, 2, and 4

p = p atm when

L

∂

∂y

∂z

p = p( x , y)

to
∂

(2)

∂y

y=−

The equation of the free surface is then

We have

∂x

p ⋅ dx +

dp = 0 =

At the free surface p = const., so

For size

∂

g y = −g

or

5
p atm = −SG⋅ ρ⋅ g ⋅ ⋅ L + c
8

C=

5
8

⋅L

y=

5
8

⋅L −

x
4

p = −SG ⋅ ρ⋅ ax ⋅ x − SG ⋅ ρ⋅ g ⋅ y + c

5
c = p atm + SG ⋅ ρ⋅ g ⋅ ⋅ L
8

5
5
x
p ( x , y ) = p atm + SG⋅ ρ⋅ ⎜⎛ ⋅ g ⋅ L − ax ⋅ x − g ⋅ y⎞ = p atm + SG⋅ ρ⋅ g ⋅ ⎛⎜ ⋅ L −
−y
4
⎝8
⎠
⎝8
2

kg
5
x
N⋅ s
m
p ( x , 0 ) = p atm + SG⋅ ρ⋅ g ⋅ ⎛⎜ ⋅ L − ⎞ = 101 + 0.8 × 1000⋅
×
× 9.81⋅ ×
3
4⎠
kg⋅ m
2
⎝8
m
s
p ( x , 0 ) = 105 − 1.96⋅ x

kPa
x⎞
⎛5
×
⎜ × 0.8⋅ m −
3
4⎠
⎝8
10 ⋅ Pa

(p in kPa, x in m)

Problem *3.124

[Difficulty: 3]

Given:

Gas centrifuge, with maximum peripheral speed Vmax = 950 ft/s contains
uranium hexafluoride gas (M = 352 lb/lbmol) at 620 deg F.

Find:

(a) Ratio of maximum pressure to pressure at the centrifuge axis
(b) Evaluate pressure ratio at 620 deg F.

Solution:

We will apply the hydrostatics equations to this system.

G
G
− ∇ p + ρg = ρa

Governing Equations:

−

Assumptions:

Vmax = ωr 2
r2

(Hydrostatic equation)

∂p
+ ρg r = ρa r (Hydrostatic equation radial component)
∂r

(1) Incompressible fluid
(2) Rigid body motion
(3) Ideal gas behavior, constant temperature
2

2

V
( r⋅ ω)
2
For rigid body motion: ar = −
=−
= −r⋅ ω
r
r

Thus:

∂p
p
= − ρa r =
rω 2
∂r
Rg T

Separating variables and integrating:
p

r

2

2

2 r
⎛ p2 ⎞
ω
2
ln⎜
=
⋅
⎝ p1 ⎠ Rg⋅ T 2

2
2
⌠ 2 1
ω ⌠
⎮
⋅ ⎮ r dr
dp =
Rg ⋅ T ⌡0
⎮ p
⌡p

where we define:

Vmax = ω⋅ r2

therefore:

⎛ p2 ⎞ Vmax
ln⎜
=
p1
⎝ ⎠ 2 ⋅ Rg ⋅ T

1

⎛ V 2⎞
⎜ max
⎜ 2⋅ R ⋅ T
p2
g ⎠
p rat =
= e⎝
p

Solving for the pressure ratio:

1

The gas constant:

Rg =

1545 ft⋅ lbf
⋅
352 lbm⋅ R

Substituting in all known values:

Rg = 4.39⋅

ft⋅ lbf
lbm⋅ R

2
2 ⎤
⎡⎛
ft
1
lbm ⋅ R
1
lbf ⋅ s
⎢⎜950⋅ ⎞ × ×
×
×
⎥
s ⎠ 2 4.39⋅ ft⋅ lbf ( 620+ 460) ⋅ R 32.2⋅ lbm⋅ ft⎦
p rat = e⎣⎝

p rat = 19.2

Problem *3.125

Given:

[Difficulty: 3]

Pail is swung in a vertical circle. Water moves as a rigid body.
Point of interest is the top of the trajectory.

Find:

d

V = 5 m/s

d

(a) Tension in the string
(b) Pressure on pail bottom from the water.

Solution:

R= 1 m
T

We will apply the hydrostatics equations to this system.

G
G
− ∇ p + ρg = ρa

Governing Equations:

−

Assumptions:

(Hydrostatic equation radial component)

(1) Incompressible fluid
(2) Rigid body motion
(3) Center of mass of bucket and water are located at a radius
of 1 m where V = rω = 5 m/s

(

)

(

(

)

−T − M b + M w ⋅ g = M b + M w ar

⎛V
⎞
T = Mb + Mw ⋅ ⎜
−g
⎝ r
⎠

π 2
and: M w = ρ⋅ V = ρ⋅ ⋅ d ⋅ h
4

Now we find T:

(Hydrostatic equation)

∂p
+ ρ g r = ρa r
∂r

Summing the forces in the radial direction:

Thus the tension is:

r

2

2

)

M w = 999 ⋅

2

kg
3

m

×

π
4

T = ( 1.529 + 25.11 ) ⋅ kg ×

ar = −

where

M b = 15⋅ N ×

where:

2

× ( 0.4⋅ m) × 0.2⋅ m

s

9.81⋅ m

×

V
r

kg⋅ m
2

N⋅ s

M w = 25.11 ⋅ kg

2
⎡⎛ m 2 1
m ⎤ N⋅ s
⎢⎜ 5⋅ ⎞ ×
− 9.81⋅ ⎥ ×
2⎥
⎢⎝ s ⎠
1⋅ m
kg⋅ m
s ⎦
⎣

If we apply this information to the radial hydrostatic equation we get:

−

M b = 1.529 ⋅ kg

∂p
V2
− ρg = − ρ
∂r
r

T = 405 ⋅ N

Thus:

⎞
⎛V 2
∂p
= ρ ⎜⎜
− g ⎟⎟
∂r
⎝ r
⎠

If we assume that the radial pressure gradient is constant throughout the water, then the pressure gradient is equal to:

p r = 999 ⋅

kg
3

m

×

2
2
⎡
⎤
⎢⎜⎛ 5⋅ m ⎞ × 1 − 9.81⋅ m ⎥ × N⋅ s
⎢⎝ s ⎠
2⎥
1⋅ m
kg⋅ m
s ⎦
⎣

and we may calculate the pressure at the bottom of the bucket:

p r = 15.17 ⋅

kPa
m

∆p = p r⋅ ∆r

∆p = 15.17 ⋅

kPa
m

× 0.2⋅ m

∆p = 3.03⋅ kPa

Problem *3.126

[Difficulty: 3]

D = 2.5 in.
z

H/2

r

R = 5 ft
Given:

rev
s

Find:

(a) Slope of free surface
(b) Spin rate necessary for spillage
(c) Likelihood of spilling versus slipping

Solution:

We will apply the hydrostatics equations to this system.

G
G
− ∇ p + ρg = ρa

Governing Equations:

Assumptions:

2

ar = −

r

SG = 1.05

Half-filled soft drink can at the outer edge of a merry-go-round
ω = 0.3⋅

V

H = 5 in.

=−

( r⋅ ω)
r

(Hydrostatic equation)

−

∂p
+ ρ g r = ρa r
∂r

−

∂p
+ ρg z = ρa z
∂z

(Hydrostatic equation radial component)

(Hydrostatic equation z component)

(1) Incompressible fluid
(2) Rigid body motion
(3) Merry-go-round is horizontal

2

2

= −r⋅ ω

∂p
∂p
dr +
dp =
dz
∂r
∂z

az = 0

gr = 0

g z = −g

Thus:

∂p
= ρ rω 2
∂r

∂p ∂r
ρrω 2 rω 2
dz
=−
=
=−
∂p ∂z
− ρg
dr
g

For the free surface the pressure is constant. Therefore:
slope = 5 ⋅ ft × ⎛⎜ 20⋅

So the slope at the free surface is

⎝

H

To spill, the slope must be

slope sp =

rev
min

H

×

min
60⋅ s

×

slope sp =

D

2 ⋅ π⋅ rad ⎞
rev
5
2.5

⎠

∂p
= − ρg So p = p(r,z)
∂z

2

2

×

s

32.2⋅ ft

slope = 0.681

slope sp = 2.000

D
Thus,

ωsp =

g dz
⋅
r dr

ωsp =

32.2⋅

ft
2

s

×

1
5 ⋅ ft

×2

rad
ωsp = 3.59⋅
s

This is nearly double the original speed (2.09 rad/s). Now the coefficient of static friction between the can and the surface of the
merry-go-round is probably less than 0.5.Thus the can would not likely spill or tip; it would slide off!

Problem *3.127

Discussion:

[Difficulty: 2]

Separate the problem into two parts: (1) the motion of the ball in water below the pool surface, and (2) the
motion of the ball in air above the pool surface.

Below the pool water surface the motion of each ball is controlled by buoyancy force and inertia. For small depths of submersion
ball speed upon reaching the surface will be small. As depth is increased, ball speed will increase until terminal speed in water is
approached. For large depths, the actual depth will be irrelevant because the ball will reach terminal speed before reaching the pool
water surface. All three balls are relatively light for their diameters, so terminal speed in water should be reached quickly. The depth
of submersion needed to reach terminal speed should be fairly small, perhaps 1 meter or less (The initial water depth required to
reach terminal speed may be calculated using the methods of Chapter 9).
Buoyancy is proportional to volume and inertia is proportional to mass. The ball with the largest volume per unit mass should
accelerate most quickly to terminal speed. This will probably be the beach ball, followed by the table-tennis ball and the water polo
ball.
The ball with the largest diameter has the smallest frontal area per unit volume; the terminal speed should be highest for this ball.
Therefore, the beach ball should have the highest terminal speed, followed by the water polo ball and the table-tennis ball.
Above the pool water surface the motion of each ball is controlled by aerodynamic drag force, gravity force, and inertia (see the
equation below). Without aerodynamic drag, the height above the pool water surface reached by each ball will depend only on its
initial speed (The maximum height reached by a ball in air with aerodynamic drag may be calculated using the methods of Chapter 9).
Aerodynamic drag reduces the height reached by the ball.
Aerodynamid drag is proportional to frontal area. The heaviest ball per unit frontal area (probably the water polo ball) should reach
the maximum height and the lightest ball per unit area (probably the beach ball) should reach the minimum height.
dV
1
2
ΣFy = −FD − m⋅ g = m⋅ ay = m⋅
= −CD⋅ A⋅ ⋅ ρ⋅ V − m⋅ g since
dt
2

V0
y

Thus, −

1
2
CD⋅ A⋅ ⋅ ρ⋅ V
2
m

−g=

dV
dt

= V⋅

dV

(1)

1
2
FD = CD⋅ A⋅ ⋅ ρ⋅ V
2

We solve this by separating variables:

dy

FD

V⋅ dV
W = mg

Solving for the maximum height:

CD⋅ A⋅ ρ V2
⋅
1+
m⋅ g
2

= −g ⋅ dy

Integrating this expression over the flight of the ball yields:
2
⎛⎜
ρ⋅ CD⋅ A Vo ⎞
−
⋅
⋅ ln⎜ 1 +
= −g ⋅ y max
m⋅ g
2 ⎠
ρ⋅ CD⋅ A ⎝

m⋅ g

2
⎛⎜
ρ⋅ CD⋅ A Vo ⎞
FDo ⎞
⎛
m
Simplifying: y max = −
(2)
⋅ ln⎜ 1 +
⋅ ln⎜ 1 +
y max = −
⋅
2 ⎠
m⋅ g
ρ⋅ CD⋅ A ⎝
ρ⋅ CD⋅ A ⎝
m⋅ g ⎠

m

If we neglect drag, equation (1) becomes:

−g ⋅ dy = V⋅ dV

Checking the limiting value predicted by Eq (2) as

lim y max

C D →0

Integrating and solving for the maximum height:

CD → 0

y max = −

Vo

2⋅ g

: we remember that for small x that ln(1+x) = -x. Thus:

⎛ m ρC D A Vo2 ⎞ Vo2
⎟⎟ =
= lim ⎜⎜
C D →0 ρC A mg
2
⎝ D
⎠ 2g

2

which is the result in Equation (3).

(3)

Problem *3.128

Given:

[Difficulty: 4]

A steel liner is to be formed in a spinning horizontal mold. To insure uniform thickness
the minimum angular velocity should be at least 300 rpm. For steel, SG = 7.8

θ

y
x

ri

Find:

(a) The resulting radial acceleration on the inside surface of the liner
(b) the maximum and minimum pressures on the surface of the mold

Solution:

We will apply the hydrostatics equations to this system.

G
G
− ∇ p + ρg = ρa

Governing Equations:

Assumptions:
2

ar = −

Hence:

Thus:

dp =

V
r

=−

ro
(gravity is
downward in
this diagram)

( r⋅ ω)
r

−

∂p
+ ρ g r = ρa r
∂r

−

1 ∂p
+ ρg θ = ρaθ
r ∂θ

−

∂p
+ ρg z = ρa z
∂z

(Hydrostatic equation)
(Hydrostatic equation radial component)

(Hydrostatic equation transeverse component)

(Hydrostatic equation z component)

(1) Incompressible fluid
(2) Rigid body motion
2

2

= −r⋅ ω

ar = 4 ⋅ in × ⎜⎛ 300 ×

⎝

aθ = 0
rev

min

×

2 ⋅ π⋅ rad
rev

az = 0

×

min ⎞

2

60⋅ s ⎠

∂p
= ρg r − ρa r = ρrω 2 − ρg cos θ
∂r

×

g r = −g ⋅ cos( θ)

g θ = g ⋅ sin( θ)

ft

ar = 329 ⋅

12⋅ in

2

ar = 10.23 ⋅ g

s

∂p
= ρrg θ − ρraθ = ρrg sin θ
∂θ

∂p
∂p
dr +
dθ = ρrω 2 − ρg cos θ dr + (ρrg sin θ )dθ
∂r
∂θ

(

ft

gz = 0

∂p
= ρg z − ρa z = 0
∂z

)

( )

We can integrate to find pressure as a function of r and θ.
r

(

p ri , θ = p atm

)

⌠
2
Therefore, we integrate: p − p atm = ⎮ ρ⋅ r⋅ ω − ρ⋅ g ⋅ cos( θ) dr + f ( θ)
⌡r
i

∂p ⎞
2
⎟ = ρrω − ρg cos θ
∂r ⎠θ

⎛ r2 − r 2⎞
i ⎠
⎝
p = p atm + ρ⋅ ω ⋅
− ρ⋅ g ⋅ cos( θ) ⋅ ( r − ri) + f ( θ)
2
2

df
∂p ⎞
= ρrg sin θ
⎟ = ρ (r − ri )g sin θ +
dθ
∂θ ⎠ r

Taking the derivative of pressure with respect to θ:

Thus, the integration function f(θ) is:

⎛ r2 − r 2⎞
i ⎠
⎝
p = p atm + ρ⋅ ω ⋅
− ρ⋅ g ⋅ ( r − ri) ⋅ cos( θ) − ρ⋅ g ⋅ ri⋅ cos( θ) + C
2
2

Therefore, the pressure is:

The integration constant is determined from the boundary condition:

( )

p ri , θ = p atm

⎛ r 2 − r 2⎞
i ⎠
⎝i
p atm = p atm + ρ⋅ ω ⋅
− ρ⋅ g ⋅ ( ri − ri) ⋅ cos( θ) − ρ⋅ g ⋅ ri⋅ cos( θ) + C
2
2

Therefore, the pressure is:

f ( θ) = −ρ⋅ g ⋅ ri⋅ cos( θ) + C

−ρ⋅ g ⋅ ri⋅ cos( θ) + C = 0

C = ρ⋅ g ⋅ ri⋅ cos( θ)

⎛ r2 − r 2⎞
i ⎠
⎝
p = p atm + ρ⋅ ω ⋅
− ρ⋅ g ⋅ ( r − ri) ⋅ cos( θ)
2
2

The maximum pressure should occur on the mold surface at θ = π:

p maxgage =

⎡⎛
⎢ 7.8⋅ 1.94⋅ slug ⎞ ×
3
⎢⎜
ft ⎠
⎣⎝

2
2
2
⎛ 31.42 ⋅ rad ⎞ × 1 ⋅ ⎛⎜ 6 − 4 ⎞ ⋅ ft2 −
⎜
2
s ⎠
2 ⎜
⎝
⎝ 12 ⎠

2
⎛ 7.8⋅ 1.94⋅ slug ⎞ × 32.2⋅ ft × ⎛ 6 − 4 ⎞ ⋅ ft ⋅ cos( π)⎥⎤ ⋅ lbf ⋅ s
⎜
⎜
⎥ slug⋅ ft
3
2 ⎝ 12 ⎠
ft ⎠
s
⎝
⎦

p maxgage = 1119⋅ psf

p maxgage = 7.77⋅ psi

The minimum pressure should occur on the mold surface at θ = 0:
2
2
2
⎡⎛
slug ⎞ ⎛
rad ⎞
1 ⎛⎜ 6 − 4 ⎞ 2
⎢
p mingage = 7.8⋅ 1.94⋅
× ⋅
× ⎜ 31.42 ⋅
⋅ ft −
3
2
⎢⎜
s ⎠
2 ⎜
⎝
ft
12
⎣⎝
⎠
⎝
⎠

2
⎛ 7.8⋅ 1.94⋅ slug ⎞ × 32.2⋅ ft × ⎛ 6 − 4 ⎞ ⋅ ft ⋅ cos( 0 )⎥⎤ ⋅ lbf ⋅ s
⎜
⎜
⎥ slug⋅ ft
3
2 ⎝ 12 ⎠
ft ⎠
s
⎝
⎦

p mingage = 956 ⋅ psf
(In both results we divided by 144 to convert from psf to psi.)

p mingage = 6.64⋅ psi

Problem *3.129

Discussion:

[Difficulty: 4]

A certain minimum angle of inclination would be needed to overcome static friction and start the container
into motion down the incline. Once the container is in motion, the retarding force would be provided by
sliding (dynamic) friction. the coefficient of dynamic friction usually is smaller than the static friction
coefficient. Thus the container would continue to accelerate as it moved down the incline. This acceleration
would procide a non-zero slope to the free surface of the liquid in the container.

In principle the slope could be measured and the coefficent of dynamic friction calculated. In practice several problems would arise.
To calculate dynamic friction coefficient one must assume the liquid moves as a solid body, i.e., that there is no sloshing. This
condition could only be achieved if there were nminimum initial disturbance and the sliding distance were long.
It would be difficult to measure the slope of the free surface of liquid in the moving container. Images made with a video camera or a
digital still camera might be processed to obtain the required slope information.

α
Ff = µN

y
x

θ

N

mg

ΣFy = 0 = N − M ⋅ g ⋅ cos( θ)

N = M ⋅ g ⋅ cos( θ)

ΣFx = M ⋅ ax = M ⋅ g ⋅ sin( θ) − Ff

Ff = μk ⋅ N = μk ⋅ M ⋅ g ⋅ cos⋅ ( θ)

Thus the acceleration is:
ax = g ⋅ sin( θ) − μk ⋅ g ⋅ cos( θ)

G
G
− ∇ p + ρg = ρa

−

∂p
+ ρg sin θ = ρa x = ρ ( g sin θ − µ k g cos θ )
∂x

∂p
= ρgµ k cos θ
∂x

−

∂p
− ρg cos θ = ρa x = 0
∂y

∂p
= − ρg cos θ
∂y

dp =

∂p
∂p
dy
dx +
∂x
∂y

ρgµ k cosθ
∂p ∂x
dy
=−
= µk
=−
∂p ∂y
− ρg cos θ
dx

For the free surface the pressure is constant. Therefore:

So the free surface angle is:

Now for a static liquid:

( )

α = atan μk

Now since it is necessary to make the container slip along the surface,

( )

( )

θ > atan μs > atan μk = α
Thus, α < θ, as shown in the sketch above.

Problem 4.1

Given:

Data on mass and spring

Find:

Maximum spring compression

[Difficulty: 2]

Solution:
The given data is

M = 5 ⋅ lb

h = 5 ⋅ ft

k = 25⋅

lbf
ft

Apply the First Law of Thermodynamics: for the system consisting of the mass and the spring (the spring has gravitional potential
energy and the spring elastic potential energy)
E1 = 0

Total mechanical energy at initial state

Note: The datum for zero potential is the top of the uncompressed spring
E2 = M ⋅ g ⋅ ( −x ) +

Total mechanical energy at instant of maximum compression x
But

E1 = E2

so

0 = M ⋅ g ⋅ ( −x ) +

Solving for x

x =

1
2

⋅ k⋅ x

x = 2 × 5 ⋅ lb × 32.2⋅

k

ft
2

s
x =

When just resting on the spring

M⋅ g

×

ft
25⋅ lbf

×

32.2⋅ lb⋅ ft
2

s ⋅ lbf

x = 0.200 ft

k

When dropped from height h:
E1 = M ⋅ g ⋅ h

Total mechanical energy at initial state

Total mechanical energy at instant of maximum compression x

E2 = M ⋅ g ⋅ ( −x ) +

Note: The datum for zero potential is the top of the uncompressed spring
E1 = E2

so

M ⋅ g ⋅ h = M ⋅ g ⋅ ( −x ) +

2

⋅ k⋅ x

2

2

2⋅ M⋅ g

But

1

1
2

⋅ k⋅ x

2

1
2

⋅ k⋅ x

2

x = 0.401 ⋅ ft

2

x −

Solving for x

x =

x = 5 ⋅ lb × 32.2⋅

ft
2

s

×

ft
25⋅ lbf

2⋅ M⋅ g
k
M⋅ g
k

×

+

⋅x −

2⋅ M⋅ g⋅ h
k

=0

2
⎛ M⋅ g ⎞ + 2⋅ M⋅ g⋅ h
⎜ k
k
⎝
⎠

32.2⋅ lb⋅ ft
2

s ⋅ lbf

2

+

⎛ 5 ⋅ lb × 32.2⋅ ft × ft × 32.2⋅ lb⋅ ft ⎞ + 2 × 5⋅ lb × 32.2⋅ ft × ft × 32.2⋅ lb⋅ ft × 5 ⋅ f
⎜
2
25⋅ lbf
2
25⋅ lbf
2
2
s
s ⋅ lbf ⎠
s ⋅ lbf
s
⎝

x = 1.63⋅ ft
Note that ignoring the loss of potential of the mass due to spring compression x gives
x =

2⋅ M⋅ g⋅ h
k

x = 1.41⋅ ft

Problem 4.2

Given:

An ice-cube tray with water at 15oC is frozen at –5oC.

Find:

Change in internal energy and entropy

Solution:

Apply the Tds and internal energy equations

Governing equations:

Assumption:

Tds = du + pdv

du = cv dT

Neglect volume change
Liquid properties similar to water

The given or available data is:

T1 = (15 + 273) K = 288 K
cv = 1

kcal
kg ⋅ K

T2 = (− 5 + 273) K = 268 K

ρ = 999

Then with the assumption:

Tds = du + pdv = du = c v dT

or

ds = cv

Integrating

⎛T
s 2 − s1 = cv ln⎜⎜ 2
⎝ T1

kg
m3

dT
T

∆S = 999

⎞
⎟⎟
⎠

or

⎛T ⎞
∆S = m(s 2 − s1 ) = ρVcv ln⎜⎜ 2 ⎟⎟
⎝ T1 ⎠

J
kcal
10 −6 m 3
kg
⎛ 268 ⎞
×
×
×1
× ln⎜
250
mL
⎟ × 4190
3
kcal
kg ⋅ K
mL
m
⎝ 288 ⎠

∆S = −0.0753
Also

[Difficulty: 2]

kJ
K

u 2 − u1 = cv (T2 − T1 )
∆U = 999

or

∆U = mcv (T2 − T1 ) = ρVcv ∆T

kcal
J
10 −6 m 3
kg
250
mL
×
×
×1
× (− 268 − 288)K × 4190
3
mL
kg ⋅ K
kcal
m

∆U = −20.9 kJ

Problem 4.3

[Difficulty: 2]

Given:

Data on ball and pipe

Find:

Speed and location at which contact is lost

θ

V
Fn

Solution:
The given data is

r = 1 ⋅ mm

M

R = 50⋅ mm

∑ Fn = Fn − m⋅g⋅cos(θ) = m⋅an
2

an = −

V

R+r
2

Contact is lost when

Fn = 0

or

2

V = g ⋅ ( R + r) ⋅ cos( θ)

−m⋅ g ⋅ cos ( θ) = −m⋅

V

R+r

(1)
2

For no resistance energy is conserved, so

E = m⋅ g ⋅ z + m⋅

V

2

2

= m⋅ g ⋅ ( R + r) ⋅ cos( θ) + m⋅

2

V = 2 ⋅ g ⋅ ( R + r) ⋅ ( 1 − cos( θ) )

Hence from energy considerations
2

Combining 1 and 2,

V = 2 ⋅ g ⋅ ( R + r) ⋅ ( 1 − cos( θ) ) = g ⋅ ( R + r) ⋅ cos( θ)

Hence

θ = acos⎛⎜

Then from 1

V =

2⎞

⎝3⎠

( R + r) ⋅ g ⋅ cos( θ)

θ = 48.2⋅ deg

V = 0.577

m
s

V

2

= E0 = m⋅ g ⋅ ( R + r)

(2)

or

2 ⋅ ( 1 − cos( θ) ) = cos( θ)

Problem 4.4

Given:

Data on Boeing 777-200 jet

Find:

Minimum runway length for takeoff

[Difficulty: 2]

Solution:
Basic equation

dV
dV
ΣFx = M ⋅
= M ⋅ V⋅
= Ft = constant
dt
dx

Separating variables

M ⋅ V⋅ dV = Ft⋅ dx

Integrating

x=

Note that the "weight" is already in mass units!

2

x =

For time calculation

Integrating

M⋅
t=

M⋅ V

2 ⋅ Ft
1
2

× 325 × 10 kg × ⎛⎜ 225

km

3

⎝

dV

= Ft
dt

dV =

hr

Ft
M

×

1 ⋅ km
1000⋅ m

×

2
2
1
N⋅ s
1
⎞ ×
⋅ ×
3600⋅ s ⎠
kg⋅ m
3 N
2 × 425 × 10

1 ⋅ hr

x = 747 m

⋅ dt

M⋅ V
Ft
3

t = 325 × 10 kg × 225

km
hr

×

1 ⋅ km
1000⋅ m

×

1 ⋅ hr
3600⋅ s

1

×

2 × 425 × 10

Aerodynamic and rolling resistances would significantly increase both these results

⋅

1

3 N

2

×

N⋅ s

kg⋅ m

t = 23.9 s

Problem 4.5

Given:

Car sliding to a stop

Find:

Initial speed; skid time

[Difficulty: 2]

Solution:
Governing equations:

ΣFx = M ⋅ ax

Ff = μ ⋅ W

Assumptions: Dry friction; neglect air resistance
Given data

L = 200 ⋅ ft

μ = 0.7

W
W d2
ΣFx = −Ff = −μ ⋅ W = M ⋅ ax =
⋅ ax =
⋅
x
g
g dt 2
or

d

2

dt

2

x = −μ ⋅ g

Integrating, and using I.C. V = V0 at t = 0
Hence

dx
dt

Integrating again

(1)

1
1
2
2
x = − ⋅ g ⋅ t + V0 ⋅ t + c2 = − ⋅ g ⋅ t + V0 ⋅ t
2
2

We have the final state, at which

From Eq. 1

= −μ⋅ g ⋅ t + c1 = −μ⋅ g ⋅ t + V0

dx

x f = L and

dt

=0

dx

= 0 = −μ⋅ g ⋅ tf + V0
dt

since x = 0 at t = 0

at

t = tf

so

tf =

(2)

V0
μ⋅ g
2

2

Substituting into Eq. 2

V0
V0
⎛ V0 ⎞
x = x f = L = − ⋅ g ⋅ t + V0 ⋅ t = − ⋅ g ⋅ tf + V0 ⋅ tf = − ⋅ g ⋅ ⎜
+ V0 ⋅
=
μ⋅ g
2 ⋅ μ⋅ g
2
2
2 ⎝ μ⋅ g ⎠

Solving

L=

Using the data

V0 = 64.7⋅ mph

1

V0
2 ⋅ μ⋅ g

2

1

1

2

or

The skid time is

V0 =

tf =

2 ⋅ μ⋅ g ⋅ L

V0
μ⋅ g

tf = 4.21 s

Problem 4.6

[Difficulty: 2]

Given:

Block sliding to a stop

Find:

Distance and time traveled; new coeeficient of friction

Solution:
Governing equations:

ΣFx = M ⋅ ax

Ff = μ⋅ W

Assumptions: Dry friction; neglect air resistance
m
V0 = 5 ⋅
s

μ = 0.6

Given data

M = 2 ⋅ kg

W
W d2
ΣFx = −Ff = −μ⋅ W = M ⋅ ax =
⋅ ax =
⋅
x
g
g dt 2

L = 2⋅ m
d

or

2

dt

2

x = −μ⋅ g

Integrating, and using I.C. V = V0 at t = 0

Hence

dx
dt

Integrating again

(1)

1
1
2
2
x = − ⋅ g ⋅ t + V0 ⋅ t + c2 = − ⋅ g ⋅ t + V0 ⋅ t
2
2

We have the final state, at which

From Eq. 1

= −μ⋅ g ⋅ t + c1 = −μ⋅ g ⋅ t + V0

dx

x f = L and

dt

dx

= 0 = −μ⋅ g ⋅ tf + V0
dt

=0

since x = 0 at t = 0

(2)

t = tf

at

tf =

so

V0
μ⋅ g

Using given data
2

Substituting into Eq. 2

Solving

tf = 0.850 s
2

V0
V0
⎛ V0 ⎞
x = x f = L = − ⋅ g ⋅ t + V0 ⋅ t = − ⋅ g ⋅ tf + V0 ⋅ tf = − ⋅ g ⋅ ⎜
+ V0 ⋅
=
μ⋅ g
2 ⋅ μ⋅ g
2
2
2 ⎝ μ⋅ g ⎠
1

x =

V0

1

2

1

2

2

2 ⋅ μ⋅ g

For rough surface, using Eq. 3 with x = L

(3)

μ =

Using give data

V0

2

2⋅ g⋅ L

μ = 0.637

tf =

V0
μ⋅ g

x = 2.12 m

tf = 0.800 s

Problem 4.7

Given:

Car entering a curve

Find:

Maximum speed

[Difficulty: 2]

Solution:
2

Governing equations:

ΣFr = M ⋅ ar

V

Ff = μ⋅ W

ar =

μwet = 0.3

r = 100 ⋅ ft

r

Assumptions: Dry friction; neglect air resistance
Given data

μdry = 0.7

2

V
ΣFr = −Ff = −μ⋅ W = −μ⋅ M ⋅ g = M ⋅ ax = M ⋅
r
or

V=

μ⋅ r⋅ g

Hence, using given data

V =

μdry⋅ r⋅ g

V = 32.4⋅ mph

V =

μwet⋅ r⋅ g

V = 21.2⋅ mph

Problem 4.8

Given:

Data on air compression process

Find:

Work done

[Difficulty: 2]

Solution:
Basic equation

δw = p ⋅ dv

Assumptions: 1) Adiabatic 2) Frictionless process δw = pdv
Given data

p 1 = 1 ⋅ atm

p 2 = 4 ⋅ atm

From Table A.6 R = 286.9 ⋅

J
kg⋅ K

T1 = 20 °C

T1 = 293 K

and

k = 1.4

Before integrating we need to relate p and v. An adiabatic frictionless (reversible) process is isentropic, which for an ideal gas gives
k

p⋅ v = C
δw = p ⋅ dv = C⋅ v

Integrating

w=

w=

C
k−1

k=

where

⋅ ⎛ v2

−k

1 −k

⎝

cp
cv

⋅ dv
1 −k ⎞

− v2

1
k 1 −k
k
1 −k ⎞
⎛
− p1⋅ v1 ⋅ v2
⎠ = ( k − 1) ⋅ ⎝ p 2⋅ v 2 v 2
⎠

R ⋅ T1 ⎛ T2
⎞
⋅ T2 − T1 =
⋅⎜
−1
( k − 1) T1
( k − 1)
R

(

)

⎝

(1)

⎠
k

But

k

p⋅ v = C

means

k

p1⋅ v1 = p2⋅ v2

k

k− 1

Rearranging

⎛ p2 ⎞
=⎜
T1
⎝ p1 ⎠
T2

or

⎛ R ⋅ T1 ⎞
⎛ R ⋅ T2 ⎞
p1⋅ ⎜
= p2⋅ ⎜
⎝ p1 ⎠
⎝ p2 ⎠

k

k− 1
⎤
⎡
⎢
⎥
k
R⋅ T1 ⎢⎛ p 2 ⎞
⎥
Combining with Eq. 1 w =
⋅ ⎢⎜
− 1⎥
k−1
⎣⎝ p 1 ⎠
⎦
1.4− 1
⎡⎢
⎤⎥
1.4
⎢ 4
⎥
1
J
w =
× 286.9 ⋅
× ( 20 + 273 ) K × ⎢⎛⎜ ⎞
− 1⎥
0.4
kg⋅ K
⎣⎝ 1 ⎠
⎦

w = 102

kJ
kg

k

Problem 4.9

[Difficulty: 2]

Given:

Data on cooling of a can of soda in a refrigerator

Find:

How long it takes to warm up in a room

Solution:
The First Law of Thermodynamics for the can (either warming or cooling) is
M ⋅ c⋅

dT
dt

(

)

= −k ⋅ T − Tamb

dT

or

dt

(

)

= −k ⋅ T − Tamb

where M is the can mass, c is the average specific heat of the can and its contents, T is the temperature, and Tamb is the ambient
temperature
Separating variables

Integrating

dT
T − Tamb

= −A⋅ dt

(

)

T( t) = Tamb + Tinit − Tamb ⋅ e

− At

where Tinit is the initial temperature. The available data from the coolling can now be used to obtain a value for constant A
Given data for cooling

Hence

Tinit = 80 °F

Tinit = 540 ⋅ R

Tamb = 35 °F

Tamb = 495 ⋅ R

T = 45 °F

T = 505 ⋅ R

when

τ = 2 ⋅ hr

k=

1
τ

⎛ Tinit − Tamb ⎞

⋅ ln⎜

⎝

T − Tamb

⎠

=

1
2 ⋅ hr

×

1 ⋅ hr
3600⋅ s

× ln⎛⎜

540 − 495 ⎞

⎝ 505 − 495 ⎠

−4 −1

k = 2.09 × 10

s

Then, for the warming up process
Tinit = 45 °F

Tinit = 505 ⋅ R

Tend = 60 °F

Tend = 520 ⋅ R

(

)

with

Tend = Tamb + Tinit − Tamb ⋅ e

Hence the time τ is

τ=

1
k

⎛ Tinit − Tamb ⎞

⋅ ln⎜

⎝ Tend − Tamb ⎠

=

Tamb = 72 °F

Tamb = 532 ⋅ R

− kτ

s
2.09⋅ 10

−4

⋅ ln⎛⎜

505 − 532 ⎞

⎝ 520 − 532 ⎠

3

τ = 3.88 × 10 s

τ = 1.08⋅ hr

Problem 4.10

Given:

Data on heating and cooling a copper block

Find:

Final system temperature

[Difficulty: 2]

Solution:
Basic equation

Q  W  ∆E

Assumptions: 1) Stationary system ΔE = ΔU 2) No work W = 0 3) Adiabatic Q = 0
Then for the system (water and copper)
∆U  0

or





M copper  ccopper  Tcopper  M w cw Tw  M copper  ccopper  M w cw  Tf

where Tf is the final temperature of the water (w) and copper (copp er)

The given data is

M copper  5  kg

ccopper  385 

J
kg K

Tcopper  ( 90  273 )  K

Also, for the water

ρ  999 

kg
3

so

Tf 

M w  ρ V

M copper  ccopper  Tcopper  M w cw Tw

Mcopper ccopper  Mw cw

Tf  291 K

J
kg K

Tw  ( 10  273 )  K

m

Solving Eq. 1 for Tf

cw  4186

Tf  18.1 °C

M w  4.00 kg

V  4 L

(1)

Problem 4.11

[Difficulty: 2]

Given:

Data on heat loss from persons, and people-filled auditorium

Find:

Internal energy change of air and of system; air temperature rise

Solution:
Basic equation

Q  W  ∆E

Assumptions: 1) Stationary system ΔE =ΔU 2) No work W = 0

Then for the air

For the air and people

∆U  Q  85

W
person

 6000 people  15 min 

60 s

∆U  459  MJ

min

∆U  Qsurroundings  0

The increase in air energy is equal and opposite to the loss in people energy
For the air

Hence

From Table A.6

∆U  Q
∆T 

but for air (an ideal gas)
Q

Rair  286.9 

∆T 

286.9
717.4

M  ρ V 

with

p V
Rair T

Rair Q T



M  cv

∆U  M  cv  ∆T

cv  p  V
J

kg K

and

cv  717.4 

 459  10  J  ( 20  273 ) K 

This is the temperature change in 15 min. The rate of change is then

kg K
2

1

6

J



m

3 N



101  10
∆T
15 min

 6.09

1
3.5  10

K
hr

5



1
3

m

∆T  1.521 K

Problem 4.12

[Difficulty: 3]

Given:

Data on velocity field and control volume geometry

Find:

Several surface integrals

Solution:

dA1 = wdzˆj − wdykˆ


dA1 = dzˆj − dykˆ


dA2 = − wdykˆ


dA2 = − dykˆ

(


V = aˆj + bykˆ

(a)

(b)

)

(


V = 10 ˆj + 5 ykˆ

(

)(

)

)


V ⋅ dA1 = 10 ˆj + 5 ykˆ ⋅ dzˆj − dykˆ = 10dz − 5 ydy
1
1
1

5
1
V ⋅ dA1 = 10dz − 5 ydy = 10 z 0 − y 2 = 7.5
A1
2 0

∫

∫

∫

0

0

(

)(

)

(c)


V ⋅ dA2 = 10 ˆj + 5 ykˆ ⋅ − dykˆ = −5 ydy

(d)

 
V V ⋅ dA2 = − 10 ˆj + 5 ykˆ 5 ydy

(e)

z

(

) (

)

) ∫(

)

1
1
 
1
25 3 ˆ
V V ⋅ dA2 = − 10 ˆj + 5 ykˆ 5 ydy = − 25 y 2 ˆj −
y k = −25 ˆj − 8.33kˆ
0
A2
3
0

∫ (

0




Control
volume
y

Problem 4.13

[Difficulty: 3]

Given:

Data on velocity field and control volume geometry

Find:

Volume flow rate and momentum flux

z

Solution:

3m

First we define the area and velocity vectors

y


dA = dydziˆ + dydyxkˆ

V = axiˆ + byˆj

4m
5m


V = xiˆ + yˆj

or

x

We will need the equation of the surface: z = 3 −

4
3
x or x = 4 − z
4
3

Then
a)

Volume flow rate

)(

)

3
3 5
3
 
2 ⎞
4 ⎞
⎛
⎛
Q = ∫ V ⋅ dA = ∫ xiˆ + yˆj ⋅ dydziˆ + dxdykˆ = ∫∫ xdydz = 5∫ ⎜ 4 − z ⎟dz = 5⎜ 4 z − z 2 ⎟
A
A
3 ⎠
3 ⎠0
⎝
0 0
0⎝

(

m3
m3
= 30
s
s

Q = (60 − 30 )
b) Momentum flux

(



)

(

)

ρ ∫ V V ⋅ dA = ρ ∫ (xiˆ + yˆj )(xiˆ + yˆj )⋅ dydziˆ + dxdykˆ = ρ ∫ (xiˆ + yˆj )( xdydz )
 

A

A

A
2

4 ⎞
y2
⎛
= ρ ∫ ∫ x dydziˆ + ρ ∫ ∫ xydydzˆj = 5∫ ⎜ 4 − z ⎟ dziˆ +
3 ⎠
2
0 0
0 0
0⎝
3 5

3 5

3

2

3

5 3

⎛

4 ⎞

∫ ⎜⎝ 4 − 3 z ⎟⎠dzˆj

00

3

32
16 ⎞
25 ⎛
2 ⎞
16
16 3 ⎞ ˆ 25
⎛
⎛
= 5∫ ⎜16 − z + z 2 ⎟dziˆ + ⎜ 4 z − z 2 ⎟ ˆj == 5⎜16 z − z 2 +
z ⎟ i + (12 − 6) ˆj
3
9
2
3
3
27
2
⎝
⎠0
⎝
⎠0
⎠
0⎝
= 5(48 − 48 + 16)iˆ + 75 ˆj
3

Momentum flux = 80iˆ + 75 ˆj N

Problem 4.14

[Difficulty: 3]

Given:

Data on velocity field and control volume geometry

Find:

Surface integrals

z
4m
3m

Solution:

5m

First we define the area and velocity vectors

dA = dydziˆ + dxdzˆj



V = axiˆ + byˆj + ckˆ or V = 2 xiˆ + 2 yˆj + kˆ

We will need the equation of the surface: y =

y

3
2
x or x = y
3
2

x

Then

∫V ⋅ dA = ∫ (− axiˆ + byˆj + ckˆ )⋅ (dydziˆ − dxdzˆj )


A

A

2 3

2 2

2

3

2

3

2

2
3
1
3
= ∫∫ − axdydz − ∫∫ bydxdz = −a ∫ dz ∫ ydy − b ∫ dz ∫ xdx = − 2a y 2 − 2b x 2
3
2
3 0
4
0 0
0 0
0
0
0
0
Q = (− 6a − 6b ) = −24

m
s

∫ (
A

3
2
3
x or x = y , and also dy = dx and a = b
2
3
2
ˆ
ˆ
ˆ
ˆ
ˆ
ˆ
ˆ
ˆ
− axi + byj + ck − axi + byj + ck ⋅ dydzi − dxdzj

) (

)(
)(
= ∫ (− axiˆ + byˆj + ckˆ )(− axdydz − bydxdz )
A

0

3

We will again need the equation of the surface: y =

  
V V ⋅ dA = ∫

2

)

A

3
3
3
⎞
⎛
⎞⎛
= ∫ ⎜ − axiˆ + axˆj + ckˆ ⎟⎜ − ax dxdz − a xdxdz ⎟
A
2
2
2
⎠
⎝
⎠⎝
3
⎞
⎛
= ∫ ⎜ − axiˆ + axˆj + ckˆ ⎟(− 3axdxdz )
A
2
⎠
⎝
2 2

2 2

2 2

9
= 3∫ ∫ a x dxdziˆ − ∫ ∫ a 2 x 2 dxdzˆj − 3∫ ∫ acxdxdzkˆ
200
0 0
0 0
2

2

3
⎛
⎞
⎟iˆ − (9)⎜ a 2 x
⎜
⎟
3
0⎠
⎝
m4
= 64iˆ − 96 ˆj − 60kˆ
s2

⎛ x3
= (6)⎜ a 2
⎜
3
⎝

2

2
⎛
⎞
⎟ ˆj − (6)⎜ ac x
⎜
⎟
2
0⎠
⎝
2

⎞
⎟ = 16a 2 iˆ − 24a 2 ˆj − 12ackˆ
⎟
0⎠
2

Problem 4.15

[Difficulty: 2]

Given:

Control Volume with linear velocity distribution

Find:

Volume flow rate and momentum flux

Solution:

Apply the expressions for volume and momentum flux

Governing equations:
Assumption:

∫ (


Q = V ⋅ dA

  
mf = ρ V V ⋅ dA

A

A

∫

)

(1) Incompressible flow

For a linear velocity profile

 V
V = yiˆ
h


dA = − w dyiˆ

and also

For the volume flow rate:
h

Q=

∫

(

)

Vw
V ˆ
i ⋅ − w dyiˆ = −
h
h

y =0

h

∫

Vw y 2
y dy = −
h 2

y =0

h

0

1
Q = − Vhw
2
The momentum flux is
h

mf =

h

V ˆ ⎛
V 2w y3
Vw
V 2w
⎞
i ⋅⎜− ρ
ydy ⎟ = − ρ 2 iˆ y 2 dy = − ρ 2 iˆ
3
h ⎝
h
h
h
⎠
y =0
y =0

∫

1
mf = − ρV 2 whiˆ
3

∫

h

0

Problem 4.16

Given:

Control Volume with linear velocity distribution

Find:

Kinetic energy flux

Solution:

Apply the expression for kinetic energy flux
V2  
ρV ⋅ dA
A 2

∫

Governing equation:

kef =

Assumption:

(1) Incompressible flow

For a linear velocity profile

[Difficulty: 2]

 V
V = yiˆ
h

V (y) =

V
y
h


dA = − w dyiˆ

and also

The kinetic energy flux is
h

2

V 3w
Vw
1 ⎛V ⎞ ⎛
⎞
ydy ⎟ = − ρ
kef =
⎜ y⎟ ⎜− ρ
h
2⎝h ⎠ ⎝
2h 3
⎠
y =0

∫

1
kef = − ρV 3 wh
8

h

∫

V 3w y 4
y dy = − ρ
2h 3 4

y =0

h

3

0

Problem 4.17

[Difficulty: 2]

Given:

Control Volume with parabolic velocity distribution

Find:

Volume flow rate and momentum flux

Solution:

Apply the expressions for volume and momentum flux

Governing equations:

Assumption:

∫ (


Q = V ⋅ dA

  
mf = ρ V V ⋅ dA

A

A

∫

)

(1) Incompressible flow

For a linear velocity profile

⎡ ⎛ r ⎞2 ⎤

V = uiˆ = umax ⎢1 − ⎜ ⎟ ⎥iˆ and also
⎢⎣ ⎝ R ⎠ ⎥⎦


dA = 2πrdriˆ

For the volume flow rate:
h

R
⎡ ⎛ r ⎞2 ⎤
⎡
⎡ r2
⎡ R2 R2 ⎤
r3 ⎤
r4 ⎤
ˆ
ˆ
2
u
Q = umax ⎢1 − ⎜ ⎟ ⎥i ⋅ 2πrdri = 2πumax
=
−
π
⎢ r − 2 ⎥ dy = 2πumax ⎢ −
⎥
⎢
⎥
max
2
4 ⎦⎥
R ⎦⎥
⎢
⎢⎣ ⎝ R ⎠ ⎥⎦
⎣⎢ 2 4 R ⎦⎥ 0
⎣⎢ 2
r =0
y =0 ⎣
R

(

∫

Q=

)

∫

1
πumax R 2
2

The momentum flux is
R
⎫
⎫⎪
⎡ ⎛ r ⎞ 2 ⎤ ⎧⎪
⎡ ⎛ r ⎞2 ⎤
⎡ ⎛ r ⎞ 2 ⎤ ⎧⎪
⎡
r3 ⎤ ⎪
ˆ
ˆ
ˆ
ˆ
mf =
umax ⎢1 − ⎜ ⎟ ⎥i ⎨umax ⎢1 − ⎜ ⎟ ⎥i ⋅ 2πrdri ⎬ = umax ⎢1 − ⎜ ⎟ ⎥i ⎨2πumax
⎢ r − 2 ⎥ dr ⎬
R ⎥⎦ ⎪
⎢
⎢⎣ ⎝ R ⎠ ⎥⎦ ⎪⎩
⎢⎣ ⎝ R ⎠ ⎥⎦
⎢⎣ ⎝ R ⎠ ⎥⎦ ⎪
⎪⎭
r =0
y =0 ⎣
⎭
⎩
R

(

∫

R

⎡ 2r 3 r 5 ⎤
⎢ r − 2 + 4 ⎥ dr
R
R ⎥⎦
⎢
y =0 ⎣

∫

=

2 ˆ
2πumax
i

=

2 ˆ⎡ r
2πumax
i⎢

h

r6 ⎤
−
+
⎥
2
6 R 4 ⎥⎦ 0
⎢⎣ 2 4 R
2

r4

2
R2 R2 ⎤
2 ˆ⎡ R
= 2πumax
−
+
i⎢
⎥
4
6 ⎦⎥
⎣⎢ 2

1 2
mf = πumax
R 2iˆ
3

)

∫

Problem 4.18

Given:

Control Volume with parabolic velocity distribution

Find:

Kinetic energy flux

Solution:

Apply the expressions for kinetic energy flux
V2  
ρV ⋅ dA
A 2

∫

Governing equation:

kef =

Assumption:

(1) Incompressible flow

For a linear velocity profile

[Difficulty: 2]

⎡ ⎛ r ⎞2 ⎤

V = uiˆ = umax ⎢1 − ⎜ ⎟ ⎥iˆ
⎣⎢ ⎝ R ⎠ ⎦⎥

⎡ ⎛ r ⎞2 ⎤
V = u = umax ⎢1 − ⎜ ⎟ ⎥
⎣⎢ ⎝ R ⎠ ⎦⎥

For the volume flow rate:
2

⎫⎪
⎡ ⎛ r ⎞ 2 ⎤ ⎫⎪ ⎧⎪
⎡ ⎛ r ⎞2 ⎤
1 ⎧⎪
kef =
⎨umax ⎢1 − ⎜ ⎟ ⎥ ⎬ ρ ⎨umax ⎢1 − ⎜ ⎟ ⎥iˆ ⋅ 2πrdriˆ ⎬
2⎪
⎢⎣ ⎝ R ⎠ ⎥⎦ ⎪⎭ ⎩⎪
⎢⎣ ⎝ R ⎠ ⎥⎦
⎪⎭
r =0 ⎩
R

(

∫

2
4
⎡ ⎛ r ⎞ 2 ⎤ ⎫⎪
1 2 ⎡
⎛ r ⎞ ⎛ r ⎞ ⎤ ⎧⎪
umax ⎢1 − 2⎜ ⎟ + ⎜ ⎟ ⎥ ρ ⎨2πumax ⎢1 − ⎜ ⎟ ⎥ rdr ⎬
2
⎝ R ⎠ ⎝ R ⎠ ⎥⎦ ⎩⎪
⎢⎣
⎢⎣ ⎝ R ⎠ ⎥⎦ ⎪⎭
r =0
R

=

∫
R

=

⎢⎣

⎛r⎞
⎝R⎠

⎡

r3

⎢⎣

R2

2

⎛r⎞
⎝R⎠

4

6
⎛r⎞ ⎤
⎝ R ⎠ ⎥⎦

∫
∫

3
πρumax
⎢r − 3

r =0
R

=

⎡

3
πρumax
⎢1 − 3⎜ ⎟ + 3⎜ ⎟ − ⎜ ⎟ ⎥ rdr

r =0

+3

r5
R4

−

r7 ⎤
⎥ dr
R 6 ⎥⎦
h

2
r6
r8 ⎤
3r 4
3 ⎡r
= πρumax
+
− 6⎥
⎢ −
2
4
2R
8R ⎦⎥ 0
⎣⎢ 2 4 R

1
3
kef = πρumax
R2
8

)


and also dA = 2πrdriˆ

Problem 4.19

Given:

Data on flow through nozzles

Find:

Exit velocity in each jet; velocity in pipe

[Difficulty: 1]

Solution:
Basic equation

→→
(
∑ V⋅A) = 0
CS

Assumptions: 1) Steady flow 2) Incompressible flow 3) Uniform flow

The given data is

Area of each nozzle

Q = 2.2⋅ gpm
A =

π
4

⋅d

2

d =

1
32

⋅ in

n = 50
−4

A = 7.67 × 10

2

in

Area of the pipe

π 2
Apipe = ⋅ D
4

Apipe = 0.442in

Total area of nozzles

Atotal = n ⋅ A

Atotal = 0.0383in

Then for the pipe flow

2

2

V =

The jet speeds are then

Q
Atotal

V = 18.4

ft

→→
(
∑ V⋅A) = −Vpipe⋅Apipe + n⋅V⋅A = 0
n⋅ A
d
Vpipe = V⋅
= V⋅ n ⋅ ⎛⎜ ⎞
Apipe
⎝ D⎠

2

⎛
⎜
ft
Vpipe = 18.4⋅ × 50 × ⎜
s
⎜
⎝

1

⎞

32

⎟

3
4

⎠

3

(Note that gal = 231 in )

s

CS

Hence

D =

(Number of nozzles)

2

ft
Vpipe = 1.60⋅
s

3
4

⋅ in

Problem 4.20

Given:

Data on flow through nozzles

Find:

Average velocity in head feeder; flow rate

[Difficulty: 1]

Solution:
Basic equation

→→
(
∑ V⋅A) = 0
CS

Assumptions: 1) Steady flow 2) Incompressible flow 3) Uniform flow
Then for the nozzle flow

→→
(
∑ V⋅A) = −Vfeeder⋅Afeeder + 10⋅Vnozzle⋅Anozzle = 0
CS

Hence

⎛ Dnozzle ⎞
Vfeeder = Vnozzle⋅
= Vnozzle⋅ 10⋅ ⎜
Afeeder
⎝ Dfeeder ⎠
10⋅ Anozzle

⎛ 1⎞
⎜ 8
ft
Vfeeder = 10⋅ × 10 × ⎜
s
⎝1⎠

2

2

ft
Vfeeder = 1.56⋅
s
2

The flow rate is

Q = Vfeeder⋅ Afeeder = Vfeeder⋅

Q = 1.56⋅

ft
s

×

π
4

× ⎛⎜ 1 ⋅ in ×

⎝

π⋅ Dfeeder

1 ⋅ ft

4

2

⎞ × 7.48⋅ gal × 60⋅ s
12⋅ in ⎠
1 ⋅ min
3
1 ⋅ ft

Q = 3.82⋅ gpm

Problem 4.21

[Difficulty: 3]

Given:

Data on flow into and out of tank

Find:

Time at which exit pump is switched on; time at which drain is opened; flow rate into drain

Solution:
∂

Basic equation

∂t

M CV +

→→
(
ρ⋅ V⋅ A ) = 0
∑
CS

Assumptions: 1) Uniform flow 2) Incompressible flow
∂

After inlet pump is on

∂t

M CV +

→→
∂
(
ρ⋅ V⋅ A ) = M tank − ρ⋅ Vin⋅ Ain = 0
∑
∂t

CS

⎛ Din ⎞
= Vin⋅
= Vin⋅ ⎜
Atank
dt
⎝ Dtank ⎠
Ain

dh

Hence the time to reach hexit = 0.7 m is

texit =

h exit
dh

∂

dh
M tank = ρ⋅ Atank ⋅
= ρ⋅ Vin⋅ Ain
dt
∂t

2

where h is the level of water in the tank

⎛ Dtank ⎞
=
⋅⎜
Vin
⎝ Din ⎠
h exit

2

texit = 0.7⋅ m ×

1 s
⋅ ×
5 m

⎛ 3⋅ m ⎞
⎜ 0.1⋅ m
⎝
⎠

2

texit = 126 s

dt

∂

After exit pump is on

∂t

→→
dh
∂
(
= Vin⋅ Ain − Vexit ⋅ Aexit
ρ⋅ V⋅ A) = M tank − ρ⋅ Vin⋅ Ain + ρ⋅ Vexit ⋅ Aexit = 0 Atank⋅
∑
dt
∂t

M CV +

CS

2

⎛ Din ⎞
⎛ Dexit ⎞
= Vin⋅
− Vexit ⋅
= Vin⋅ ⎜
− Vexit ⋅ ⎜
Atank
Atank
dt
⎝ Dtank ⎠
⎝ Dtank ⎠

dh

Ain

Hence the time to reach hdrain = 2 m is

Aexit

tdrain = texit +

(hdrain − hexit)
dh

=

(hdrain − hexit)
2

⎛ Din ⎞
⎛ Dexit ⎞
Vin⋅ ⎜
− Vexit ⋅ ⎜
⎝ Dtank ⎠
⎝ Dtank ⎠

dt

tdrain = 126 ⋅ s + ( 2 − 0.7) ⋅ m ×

2

2

1
2

0.1⋅ m ⎞
0.08⋅ m ⎞
m
5 ⋅ × ⎛⎜
− 3 ⋅ × ⎛⎜
s
s
⎝ 3⋅ m ⎠
⎝ 3⋅ m ⎠
m

2

tdrain = 506 s

The flow rate into the drain is equal to the net inflow (the level in the tank is now constant)
2

Qdrain = Vin⋅

π⋅ Din
4

− Vexit ⋅

π⋅ Dexit
4

2

m π
m π
2
2
Qdrain = 5 ⋅ ×
× ( 0.1⋅ m) − 3 ⋅ ×
× ( 0.08⋅ m)
s
4
s
4

3

m
Qdrain = 0.0242
s

Problem 4.22

[Difficulty: 1]

Given:

Data on wind tunnel geometry

Find:

Average speeds in wind tunnel; diameter of section 3

Solution:
Basic equation

Q  V A

Assumptions: 1) Steady flow 2) Incompressible flow 3) Uniform flow
3

Given data:

Q  15

m

D1  1.5 m

s

2

Between sections 1 and 2

Hence

Q  V1 A1  V1

V1 
π
4

For section 3 we can use

V1 

Q
 D1

π D1
4

2

2

 V3 

π D1

2

 V2 A2  V2

4

m
V1  8.49
s

π D2
4

V2 
π
4

π D3
4

m
V3  75
s

D2  1 m

2

or

Q
 D2

2

V1
D3  D1 
V3

m
V2  19.1
s

D3  0.505 m

Problem 4.23

Difficulty: 4]

Given:

Data on flow into and out of cooling tower

Find:

Volume and mass flow rate of cool water; mass flow rate of moist and dry air

Solution:
→→
(
ρ⋅ V⋅ A) = 0
∑

Basic equation

Q = V⋅ A

and at each inlet/exit

CS

Assumptions: 1) Uniform flow 2) Incompressible flow
5 lb
mwarm = 2.5⋅ 10 ⋅
hr

Given data:

At the cool water exit

The mass flow rate is

Qcool = V⋅ A

mcool = ρ⋅ Qcool

D = 6 ⋅ in

V = 5⋅

mcool = 1.94⋅

ft

3

× 0.982 ⋅

ft

lb
ρmoist = 0.065 ⋅
3
ft

s
3

ft π
2
Qcool = 5 ⋅ ×
× ( 0.5⋅ ft)
s
4
slug

ft

3

s

ft
Qcool = 0.982 ⋅
s

Qcool = 441 ⋅ gpm

slug
mcool = 1.91⋅
s

5 lb
mcool = 2.21 × 10 ⋅
hr

NOTE: Software does not allow dots over terms, so m represents mass flow rate, not mass!

For the water flow we need

→→
(
ρ⋅ V⋅ A) = 0
∑

to balance the water flow

CS

We have

−mwarm + mcool + mv = 0

mv = mwarm − mcool

This is the mass flow rate of water vapor. To obtain air flow rates, from psychrometrics

where x is the relative humidity. It is also known (try Googling "density of moist air") that

lb
mv = 29341 ⋅
hr
x=

mv
mair

ρmoist
ρdry

We are given

lb
ρmoist = 0.065 ⋅
3
ft

=

1+x
1 + x⋅

RH2O
Rair

For dry air we could use the ideal gas equation

ρdry = 0.002377⋅

slug
ft

3

p
ρdry =
R⋅ T

but here we use atmospheric air density (Table A.3)

ρdry = 0.002377⋅

slug
ft

3

× 32.2⋅

lb
slug

lb
ρdry = 0.0765⋅
3
ft

Note that moist air is less dense than dry air!

Hence

0.065
0.0765

x =

1+x

=

1 + x⋅

0.065 ⋅

Hence

mv
mair

53.33

0.0765 − 0.065

=x

85.78
53.33

using data from Table A.6

85.78

x = 0.410

− .0765

leads to

Finally, the mass flow rate of moist air is

mv
mair =
x

lb
1
mair = 29341 ⋅ ×
hr 0.41

mmoist = mv + mair

5 lb
mmoist = 1.01 × 10 ⋅
hr

lb
mair = 71563 ⋅
hr

Problem 4.24

Given:

Data on flow through box

Find:

Velocity at station 3

[Difficulty: 1]

Solution:
Basic equation

→→
(
∑ V⋅A) = 0
CS

Assumptions: 1) Steady flow 2) Incompressible flow 3) Uniform flow

Then for the box

∑( )

→→
V⋅ A = −V1⋅ A1 + V2⋅ A2 + V3⋅ A3 = 0

CS

Note that the vectors indicate that flow is in at location 1 and out at location 2; we assume outflow at location 3
Hence

A1
A2
V3 = V1 ⋅
− V2 ⋅
A3
A3

ft 0.5
ft 0.1
V3 = 10⋅ ×
− 20⋅ ×
s
0.6
s
0.6

Based on geometry

Vx = V3 ⋅ sin( 60⋅ deg)

ft
Vx = 4.33⋅
s

Vy = −V3 ⋅ cos( 60⋅ deg)

ft
Vy = −2.5⋅
s

→
⎯
ft
ft
V3 = ⎛⎜ 4.33⋅ , −2.5⋅ ⎞
s
s⎠
⎝

ft
V3 = 5 ⋅
s

Problem 4.25

Given:

Data on flow through device

Find:

Volume flow rate at port 3

[Difficulty: 1]

Solution:
Basic equation

→→
(
∑ V⋅A) = 0
CS

Assumptions: 1) Steady flow 2) Incompressible flow 3) Uniform flow
Then for the box

∑( )

→→
V⋅ A = −V1⋅ A1 + V2⋅ A2 + V3⋅ A3 = −V1⋅ A1 + V2⋅ A2 + Q3

CS

Note we assume outflow at port 3
Hence

Q3 = V1 ⋅ A1 − V2 ⋅ A2

The negative sign indicates the flow at port 3 is inwards.

m
m
2
2
Q3 = 3 ⋅ × 0.1⋅ m − 10⋅ × 0.05⋅ m
s
s
Flow rate at port 3 is 0.2 m3/s inwards

3

m
Q3 = −0.2⋅
s

Problem 4.26

Given:

Water needs of farmer

Find:

Number of supply pipes needed

[Difficulty: 1]

Solution:
Basic equation

Q  V A

Assumptions: 1) Steady flow 2) Incompressible flow 3) Uniform flow
The given data is:

Then

A  150 m 400 m

Q 

If n is the number of pipes

The farmer needs 5 pipes.

A h
t

4 2

A  6  10 m

h  7.5 cm

t  1  hr

or

n 

D  37.5 cm

3

Q  1.25
Q  V

π
4

m
s

2

D n

4 Q
2

π V D

n  4.527

V  2.5

m
s

Problem 4.27

Given:

Data on filling of glass carboy

Find:

Time to fill

[Difficulty: 1]

Solution:
We can treat this as an unsteady problem if we choose the CS as the entire carboy

Basic equation

∂
∂t

→→
(
ρ⋅ V⋅ A) = 0
∑

M CV +

CS

Assumptions: 1) Incompressible flow 2) Uniform flow
Given data:

Q = 3 ⋅ gpm

Hence

∂
∂t

M CV = ρ⋅ A⋅

D = 15⋅ in
dh
dt

= ρ⋅ A⋅

h
τ

h = 2 ⋅ ft

→→
(
ρ⋅ V⋅ A) = ρ⋅ Q
∑

=−

CS

where Q is the fill rate, A is the carboy cross-section area, dh/dt is the rate of rise in the carboy, and τ is the fill time
π
Hence

τ =

4

2

⋅D ⋅h
Q

τ = 6.12⋅ min

Problem 4.28

Given:

Data on filling of a sink

Find:

Time to half fill; rate at which level drops

[Difficulty: 1]

Solution:
This is an unsteady problem if we choose the CS as the entire sink
Basic equation

∂
∂t

→→
(
ρ⋅ V⋅ A) = 0
∑

M CV +

CS

Assumptions: 1) Incompressible flow
Given data:

mrate = 4 ⋅ gpm

Hence

∂

To half fill:

Then, using Eq 1

∂t

w = 18⋅ in

d = 12⋅ in

→→
(
ρ⋅ V⋅ A) = Inflow − Outflow
∑

M CV = −

V

Q = 4 ⋅ gpm

Qdrain = 1 ⋅ gpm

(1)

CS

V =

τ

L = 2 ⋅ ft

1
2

⋅ L⋅ w⋅ d

=Q

After the drain opens, Eq. 1 becomes

V = 1.5 ft
τ =

dV
dt

Qdrain
Vlevel = −
L⋅ w

V
Q

3

V = 11.2 gal
τ = 168 s

τ = 2.81 min

= L⋅ w⋅ Vlevel = −Qdrain

where V level is the speed of water level drop
− 4 ft

Vlevel = −7.43 × 10

s

in
Vlevel = −0.535
min

Problem 4.29

[Difficulty: 1]

Given:

Air flow system

Find:

Flow rate and velocity into each room; narrowest supply duct

Solution:
Basic equation

Q  V A

Assumptions: 1) Steady flow 2) Incompressible flow 3) Uniform flow
The given data is:

L
Qperson  8 
s

n rooms  6

n students  20

h  200  mm

w  500  mm

m
Vmax  1.75
s

Then for each room

Qroom  n students  Qperson

L
Qroom  160
s

and

Vroom 

Qroom

m
Vroom  1.6
s

For the supply duct

Q  n rooms Qroom

and

w h

Q  960

L
s

3

m
Qroom  0.16
s

3

Q  0.96

m
s

Q  Vmax A  Vmax w h where w and h are now the supply duct dimensions
w 

Q
Vmax h

w  1.097 m

h  500  mm

Problem 4.30

Given:

Data on filling of a basement during a storm

Find:

Flow rate of storm into basement

[Difficulty: 1]

Solution:
This is an unsteady problem if we choose the CS as the entire basement
Basic equation

∂
∂t

→→
(
ρ⋅ V⋅ A) = 0
∑

M CV +

CS

Assumptions: 1) Incompressible flow
Given data:

Hence

or

dh

Qpump = 27.5⋅ gpm
∂
∂t

M CV = ρ⋅ A⋅

dh
dt

dt

= 4⋅

in
hr

A = 30⋅ ft⋅ 20⋅ ft

→→
(
ρ⋅ V⋅ A) = ρ⋅ Qstorm − ρ⋅ Qpump
∑

=−

CS

dh
Qstorm = Qpump − A⋅
dt
gal
Qstorm = 27.5⋅
− 30⋅ ft × 20⋅ ft ×
min
Qstorm = 2.57⋅ gpm

⎛ 4 ⋅ ft ⎞ × 7.48⋅ gal × 1 ⋅ hr
⎜ 12 hr
60⋅ min
3
⎝
⎠
ft

where A is the basement area
and dh/dt is the rate at which the
height of water in the basement
changes.

Data on gals from Table G.2

Problem 4.31

Given:

Data on compressible flow

Find:

Downstream density

[Difficulty: 1]

Solution:
Basic equation

→→
(
ρ⋅ V⋅ A ) = 0
∑
CS

Assumptions: 1) Steady flow 2) Uniform flow

Then for the box

→→
(
ρ⋅ V⋅ A ) = −ρu ⋅ Vu⋅ Au + ρd ⋅ Vd ⋅ Ad = 0
∑
CS

Hence

Vd ⋅ Ad

ρu = ρd ⋅
Vu⋅ Au

1000⋅

m
2

kg
s 0.1⋅ m
ρu = 1⋅
⋅
⋅
3
m
2
m 1500⋅
0.25⋅ m
s

kg
ρu = 0.267
3
m

Problem 4.32

[Difficulty: 2]

Given:

Data on flow through device

Find:

Velocity V3; plot V3 against time; find when V3 is zero; total mean flow

Solution:
Governing equation:

−

V3 =

V1⋅ A1 + V2⋅ A2
A3
−

V3 = 6.67⋅ e

→→
V⋅ A = 0

∑

−V1⋅ A1 − V2⋅ A2 + V3⋅ A3 = 0

Applying to the device (assuming V3 is out)

The velocity at A3 is

⌠ →→
⎮
⎮ V dA =
⌡

For incompressible flow (Eq. 4.13) and uniform flow

10⋅ e

t
2 m

⋅

=

s

2

× 0.1⋅ m + 2⋅ cos ( 2⋅ π⋅ t) ⋅

m
s

2

× 0.2⋅ m

2

0.15⋅ m

t
2

+ 2.67⋅ cos( 2 ⋅ π⋅ t)

The total mean volumetric flow at A3 is
∞

⌠
⎮
∞
⎮
⌠
Q = ⎮ V3 ⋅ A3 dt = ⎮
⌡
⌡
0

⎛
−
⎜
⎝ 6.67⋅ e

⎛
−
⎜
Q = lim ⎜ −2 ⋅ e
t→∞⎝

1

⎞

t
2

+ 2.67⋅ cos( 2 ⋅ π⋅ t) ⎠ ⋅ 0.15 dt⋅ ⎜⎛

⎝s

0

2⎞

⋅m

⎠

⎞

t
2

m

+

5⋅ π

⋅ sin( 2 ⋅ π⋅ t)

3

⎠

− ( −2 ) = 2 ⋅ m

The time at which V3 first is zero, and the plot of V3 is shown in the corresponding Excel workbook

3

Q = 2⋅ m

t = 2.39⋅ s

t (s) V 3 (m/s)
9.33
8.50
6.86
4.91
3.30
2.53
2.78
3.87
5.29
6.41
6.71
6.00
4.48
2.66
1.15
0.48
0.84
2.03
3.53
4.74
5.12
4.49
3.04
1.29
-0.15
-0.76

Exit Velocity vs Time
10
8

V 3 (m/s)

0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
1.10
1.20
1.30
1.40
1.50
1.60
1.70
1.80
1.90
2.00
2.10
2.20
2.30
2.40
2.50

6
4
2
0
0.0

0.5

1.0

1.5

2.0

-2

t (s)

The time at which V 3 first becomes zero can be found using Goal Seek
t (s)

V 3 (m/s)

2.39

0.00

2.5

Problem 4.33

Given:

Data on flow down an inclined plane

Find:

Find u max

[Difficulty: 2]

Solution:
Basic equation

⌠
mflow = ⎮ ρu dA
⌡

Assumptions: 1) Steady flow 2) Incompressible flow

Evaluating at 1 and 2

h

h

0

0

⌠
⌠
2
2
⎮
ρ ⋅ g ⋅ sin ( θ) ⋅ w ⎮
y ⎞
ρ⋅ g ⋅ sin ( θ) ⎛
mflow = ⎮ ρ⋅
⋅⎜h ⋅y −
⋅ w dy =
⋅⎮
2 ⎠
μ
μ
⎮
⎝
⎮
⌡
⌡
2

mflow =

ρ ⋅ g ⋅ sin ( θ) ⋅ w
μ

2

Hence

mflow =

⎛ h3

⋅⎜

⎝ 2

ρ ⋅ g ⋅ sin( θ) ⋅ w⋅ h
3⋅ μ

3

−

h

3⎞

6

⎠

2
⎛
y ⎞
⎜h ⋅y −
dy
2 ⎠
⎝

Problem 4.34

[Difficulty: 2]

y

2h



Given:

Data on flow at inlet and outlet of channel

Find:

Find u max

x


CS

Solution:
Basic equation





∫ ρ V ⋅ dA = 0
CS

Assumptions: 1) Steady flow 2) Incompressible flow

Evaluating at 1 and 2

⌠
−ρ⋅ U⋅ 2 ⋅ h ⋅ w + ⎮
⌡

h

ρ⋅ u ( y ) dy = 0

−h

⎡

u max⋅ ⎢[ h − ( −h ) ] −

⎢
⎣

Hence

u max =

3
2

⋅U =

3
2

⌠
⎮
⎮
⎮
⌡

h

−h

⎡ 3 ⎛ 3 ⎞⎤⎤
⎢ h − ⎜ − h ⎥⎥ = 2⋅ h ⋅ U
⎢ 3 ⋅ h2 ⎜ 3 ⋅ h2 ⎥⎥
⎣
⎝
⎠⎦⎦

× 2.5⋅

m
s

⎡

u max⋅ ⎢1 −

⎣

2
⎛ y ⎞ ⎥⎤ dy = 2 ⋅ h⋅ U
⎜h
⎝ ⎠⎦

4
u max⋅ ⋅ h = 2 ⋅ h ⋅ U
3

u max = 3.75⋅

m
s

Problem 4.35

Given:

Data on flow at inlet and outlet of pipe

Find:

Find U

[Difficulty: 2]

Solution:
Basic equation





∫ ρ V ⋅ dA = 0
CS

Assumptions: 1) Steady flow 2) Incompressible flow

Evaluating at inlet and exit

2 ⌠
−ρ⋅ U⋅ π⋅ R + ⎮
⌡

R

ρ⋅ u ( r) ⋅ 2 ⋅ π⋅ r dr = 0

0

u max⋅ ⎜⎛ R −
2

⎝

Hence

U=

1
2

× 3⋅

1
2

m
s

⋅R

⌠
⎮
⎮
⎮
⌡

R

⎡

u max⋅ ⎢1 −

⎣

0

2⎞

⎠

2

= R ⋅U

U=

1
2

⋅ u max

U = 1.5⋅

m
s

2
⎛ r ⎞ ⎤⎥ ⋅ 2⋅ r dr = R2⋅ U
⎜R
⎝ ⎠⎦

Problem 4.36

Given:

Data on flow at inlet and outlet of channel

Find:

Find u max

[Difficulty: 2]

Solution:




∫ ρ V ⋅ dA = 0

Basic equation

CS

Assumptions: 1) Steady flow 2) Incompressible flow

Evaluating at 1 and 2

⌠
−ρ⋅ V1 ⋅ H⋅ w + ⎮
⌡

H

ρ⋅ V2 ( y ) ⋅ w dy = 0

−H

or

⌠
V1 ⋅ H = ⎮
⎮
⌡

H

−H

Hence

π
Vm = ⋅ V1
4

π⋅ y ⎞
dy =
Vm⋅ cos⎛⎜
⎝ 2⋅ H ⎠

⌠
2⋅ ⎮
⎮
⌡

H

0

4 ⋅ H⋅ Vm
2⋅ H ⎛ ⎛ π ⎞
π⋅ y ⎞
dy = 2 ⋅ Vm⋅
⋅ ⎜ sin⎜
− sin( 0 ) ⎞ =
Vm⋅ cos⎛⎜
π ⎝ ⎝2⎠
π
⎝ 2⋅ H ⎠
⎠

Problem 4.37

[Difficulty: 3]

Given:

Velocity distribution in annulus

Find:

Volume flow rate; average velocity; maximum velocity; plot velocity distribution

Solution:
Governing equation

For the flow rate (Eq. 4.14a) and average velocity (Eq.
4.14b)

The given data is

Ro = 5 ⋅ mm

∆p

Ri = 1 ⋅ mm

L

= −10⋅

⌠ →→
⎮
Q = ⎮ V dA
⌡
kPa

μ = 0.1⋅

m

Q
Vav =
A

N⋅ s

(From Fig. A.2)

2

m

2
2
⎛
Ro − Ri
⎛ Ro ⎞ ⎞
−∆p ⎜ 2
2
u ( r) =
⋅ ln⎜
⋅ R −r +
4 ⋅ μ⋅ L ⎜ o
⎝ r ⎠⎟
⎛ Ri ⎞
ln⎜
⎜
⎝
⎝ Ro ⎠
⎠
R

The flow rate is

⌠ o
Q = ⎮ u ( r) ⋅ 2 ⋅ π⋅ r dr
⌡R

⎡ ⎛ R 2 − R 2⎞
⎤
i ⎠ ⎛ 2
2
2⎞ ⎢ ⎝ o
2⎞⎥
⎛
Q =
⋅ R − Ri ⋅
⎠ ⎢ ⎛ R ⎞ − ⎝ Ri + Ro ⎠⎥
8 ⋅ μ⋅ L ⎝ o
o
⎢ ln⎜
⎥
Ri
⎣ ⎝ ⎠
⎦

i

∆p⋅ π

Considerable mathematical manipulation leads to

Substituting values

Q =

3
⋅ ( −10⋅ 10 ) ⋅
8

π

Q = 1.045 × 10

The average velocity is

Q
Vav =
=
A

N
2

2
(
0.1⋅ N⋅ s
2

⋅

m ⋅m

m

3
−5m

Q = 10.45 ⋅

s

2

2

2⎡ 2
2
2
⎞ ⋅ ⎢ 5 − 1 − 5 2 + 12 ⎥⎤ ⋅ ⎛ m ⎞
⎜
⎥ ⎝ 1000 ⎠
⎝ 1000 ⎠ ⎢ ln⎛ 5 ⎞
⎢⎣ ⎜⎝ 1 ⎠
⎥⎦

2⎞

⎠

)

mL
s

1
−5 m
Vav =
× 1.045 × 10 ⋅
×
π
s

1
2

5 −1

2

⋅ ⎛⎜

1000 ⎞

2

⎝ m ⎠

⎛
⎡
⎡
Ro − Ri
⎛ Ro ⎞ ⎞⎥⎤
∆p ⎢
2
d ⎢ −∆p ⎜ 2
⋅ ln⎜
=0=
⋅ Ro − r +
=−
⋅ −2 ⋅ r −
dr
4 ⋅ μ⋅ L ⎢
dx ⎢ 4 ⋅ μ⋅ L ⎜
⎝ r ⎠ ⎟⎥
⎛ Ri ⎞
ln⎜
⎢
⎜
⎥
⎢
⎣
⎝
⎝ Ro ⎠
⎠⎦
⎣
2

The maximum velocity occurs when

(

m

3

Q
π⋅ ⎛ R o − R i
⎝

)

⋅ 5 − 1 ⋅ ⎛⎜

du

2

m
Vav = 0.139
s

⎛ R 2 − R 2⎞ ⎤
i ⎠⎥
⎝ o
⎛ Ri ⎞ ⎥
ln⎜
⋅r ⎥
Ro
⎝ ⎠ ⎦

2

r =

Then

Ri − Ro

2

⎛ Ri ⎞
2 ⋅ ln⎜
⎝ Ro ⎠

r = 2.73⋅ mm

Substituting in u(r)

u max = u ( 2.73⋅ mm) = 0.213 ⋅

The maximum velocity using Solver instead, and the plot, are also shown in an Excel workbook

Ro =
Ri=
¬p /L =

5
1
-10

mm
mm
kPa/m

¬◊ϕ

0.1

N.s/m

2

r (mm) u (m/s)
0.000
0.069
0.120
0.157
0.183
0.201
0.210
0.213
0.210
0.200
0.186
0.166
0.142
0.113
0.079
0.042
0.000

Annular Velocity Distribution
6
5

r (mm)

1.00
1.25
1.50
1.75
2.00
2.25
2.50
2.75
3.00
3.25
3.50
3.75
4.00
4.25
4.50
4.75
5.00

4
3
2
1
0
0.00

The maximum velocity can be found using Solver
r (mm) u (m/s)
2.73

0.213

0.05

0.10

0.15

u (m/s)

0.20

0.25

m
s

Problem 4.38

[Difficulty: 2]

Given:

Data on flow at inlet and outlet of a reducing elbow

Find:

Find the maximum velcoity at section 1

Solution:




∫ ρ V ⋅ dA = 0

Basic equation

CS

Assumptions: 1) Steady flow 2) Incompressible flow

Evaluating at 1, 2 and 3

h
⌠ 1
−⎮ V1 ( y ) ⋅ w dy + V2 ⋅ w⋅ h 2 + V3 ⋅ w⋅ h 3 = 0
⌡
0

or

Hence

h
2
V1max ⌠ 1
V1max h 1
⋅
= V2 ⋅ h 2 + V3 ⋅ h 3
⋅ ⎮ y dy =
2
h 1 ⌡0
h1

(

2
V1max =
⋅ V3 ⋅ h 3 + V2 ⋅ h 2
h1

)

2 ⎛ m
m
V1max =
⋅ ⎜ 5 ⋅ × 0.15⋅ m + 1 ⋅ × 0.2⋅ m⎞
0.5⋅ m ⎝ s
s
⎠

m
V1max = 3.80
s

Problem 4.39

Given:

Data on flow at inlet and outlet of channel

Find:

Find u max

Solution:
Basic equation



[Difficulty: 2]



∫ ρ V ⋅ dA = 0
CS

Assumptions: 1) Steady flow 2) Incompressible flow
h

Evaluating at inlet and exit

⌠
−U⋅ w⋅ h + ⎮ Vexit ( x ) ⋅ w dx = 0
⌡
0

(

)

Here we have

x
Vexit = Vmax − Vmax − Vmin ⋅
h

Hence

x
Vexit = 2 ⋅ Vmin − Vmin⋅
h
h
⌠
⌠
⎮ Vexit ( x ) ⋅ w dx = ⎮
⎮
⌡
⌡
0

h

But we also have

2
⎛ 2 ⋅ V − V ⋅ x ⎞ ⋅ w dx = ⎛⎜ 2⋅ V ⋅ h − V ⋅ h ⎞ ⋅ w = 3 ⋅ V ⋅ h⋅ w
⎜ min
min
min 2 ⋅ h
min h
2 min
⎝
⎠
⎝
⎠

0

3
Hence

2

⋅ Vmin⋅ h ⋅ w = U⋅ w⋅ h

2
m
Vmin =
× 7.5⋅
3
s

Vmax = 2 ⋅ Vmin

2
Vmin = ⋅ U
3
m
Vmin = 5.00⋅
s

Problem 4.30

Problem 4.40

[Difficulty: 2]

Problem 4.27

Problem 4.41

[Difficulty: 2]

Problem 4.31

Problem 4.42

[Difficulty: 2]

Problem 4.28

Problem 4.43

[Difficulty: 2]

Problem 4.33

Problem 4.44

[Difficulty: 2]

Problem 4.45

[Difficulty: 2]

CS
Outflow

Given:

Data on airflow out of tank

Find:

Find rate of change of density of air in tank

Solution:
Basic equation

 
∂
ρ
+
ρ
d
V
V
∫
∫ ⋅ dA = 0
∂t CV
CS

Assumptions: 1) Density in tank is uniform 2) Uniform flow 3) Air is an ideal gas
Hence

Vtank⋅

dρtank

dρtank
dt

dt

+ ρexit ⋅ V⋅ A = 0
3 N

= −300 × 10 ⋅

2

m

× 250 ⋅

dρtank
dt
m
s

=−

ρexit ⋅ V⋅ A
Vtank
2

× 100 ⋅ mm ×

=−

p exit ⋅ V⋅ A
Rair⋅ Texit ⋅ Vtank
2

1
1
⎛ 1⋅ m ⎞ × 1 ⋅ kg⋅ K ×
×
⎜ 1000⋅ mm
( −20 + 273 ) ⋅ K
3
286.9 N⋅ m
⎝
⎠
0.4⋅ m

kg

dρtank
Hence

dt

3

= −0.258 ⋅

m

s

The mass in the tank is decreasing, as expected

Problem 4.32

Problem 4.46

[Difficulty: 2]

Problem 4.35

Problem 4.47

[Difficulty: 2]

Problem 4.48

[Difficulty: 3]

Given:

Data on draining of a tank

Find:

Depth at various times; Plot of depth versus time

Solution:
Basic equation

 
∂
ρ
+
ρ
d
V
V
∫
∫ ⋅ dA = 0
∂t CV
CS

Assumptions: 1) Uniform flow 2) Incompressible flow 3) Neglect air density
Treating the tank as the CV the basic equation becomes
∂ ⌠
⎮
∂t ⌡

y

ρ⋅ Atank dy + ρ⋅ V⋅ Aopening = 0

or

ρ⋅

π

0

V=

Using

Separating variables

dy
1

y

Solving for y

Using the given data

2 dy

⋅D ⋅

dt

+ ρ⋅

π
4

2

⋅d ⋅V = 0
1

2⋅ g⋅ y

and simplifying

dy
dt

2

=

4

⎛ d ⎞ ⋅ 2⋅ g ⋅ dt
⎜D
⎝ ⎠

and integrating

= −⎛⎜

2

⎞ ⋅ 2⋅ g⋅ y 2
⎝ D⎠
d

1⎞
⎛⎜ 1
2
d
2
2
2⋅ ⎜ y − y0
= −⎛⎜ ⎞ ⋅ 2 ⋅ g t
⎝
⎠
⎝ D⎠

2

2
⎡⎢
g ⎛ d ⎞ ⎥⎤
y ( t) = y 0⋅ 1 −
⋅⎜
⋅t
⎢
2⋅ y0 ⎝ D ⎠ ⎥
⎣
⎦

y ( 1 ⋅ min) = 1.73⋅ ft

2

y ( 2 ⋅ min) = 0.804 ⋅ ft

y ( 3 ⋅ min) = 0.229 ⋅ ft

3

Depth (ft)

2.5
2
1.5
1
0.5
0

0.5

1

1.5

t (min)

2

2.5

3

Problem 4.49

[Difficulty: 3]

Given:

Data on draining of a tank

Find:

Times to a depth of 1 foot; Plot of drain timeversus opening size

Solution:
Basic equation

 
∂
ρ
+
ρ
d
V
V
∫
∫ ⋅ dA = 0
∂t CV
CS

Assumptions: 1) Uniform flow 2) Incompressible flow 3) Neglect air density
Treating the tank as the CV the basic equation becomes
y

∂⌠
⎮ ρ⋅ Atank dy + ρ⋅ V⋅ Aopening = 0
∂t ⌡

or

ρ⋅

π

0

Separating variables

dy
1

y

Solving for t

2 dy

⋅D ⋅

dt

+ ρ⋅

π
4

2

⋅d ⋅V = 0
1

V=

Using

4

2⋅ g⋅ y

and simplifying

dt

2

=

dy

⎛ d ⎞ ⋅ 2⋅ g ⋅ dt
⎜D
⎝ ⎠

and integrating

= −⎛⎜

d⎞

⎝ D⎠

2

⋅ 2⋅ g⋅ y

2

1⎞
⎛⎜ 1
2
d
2
2
2⋅ ⎜ y − y0
= −⎛⎜ ⎞ ⋅ 2 ⋅ g t
⎝
⎠
⎝ D⎠

2

t=

2⋅ y0
g

⋅ ⎛⎜

D⎞

2

⎛

⋅⎜1 −

⎝d⎠ ⎝

y

⎞

y0

⎠

Using the given data

t( 2 ⋅ ft) = 45.6 s

Hence for the first drop of 1 foot

∆t = t( 2 ⋅ ft)

∆t = 45.6 s

For the second drop of 1 foot

∆t = t( 1 ⋅ ft) − t( 2 ⋅ ft)

∆t = 59.5 s

t( 1 ⋅ ft) = 105 s

This is because as the level drops the exit speed, hence drain rate, decreases.

Drain Time (min)

15

10

5

0.1

0.2

0.3

d (in)

0.4

0.5

Problem 4.38

Problem 4.50

[Difficulty: 3]

Problem 4.39

Problem 4.51

[Difficulty: 3]

Problem 4.40

Problem 4.52

[Difficulty: 3]

Problem 4.41

Problem 4.53
P4.48.

[Difficulty: 3]

Problem 4.42

Problem 4.54

[Difficulty: 4]

Problem 4.55

[Difficulty: 4]

Given:

Data on draining of a funnel

Find:

Formula for drain time; time to drain from 12 in to 6 in; plot drain time versus hole diameter

Solution:
Basic equation

 
∂
ρ
+
ρ
d
V
V
∫
∫ ⋅ dA = 0
∂t CV
CS

Assumptions: 1) Uniform flow 2) Incompressible flow 3) Neglect air density
Treating the funnel as the CV the basic equation becomes
y

∂⌠
⎮ ρ⋅ Afunnel dy + ρ⋅ V⋅ Aopening = 0
∂t ⌡
0

2

2

For the funnel

Afunnel = π⋅ r = π⋅ ( y ⋅ tan( θ) )

Hence

y
π 2
2∂⌠
2
ρ⋅ π⋅ ( tan( θ) ) ⋅ ⎮ y dy + ρ⋅ V⋅ ⋅ d = 0
⌡
4
∂t 0

Then

2 2 dy

( tan( θ) ) ⋅ y ⋅

dt

= − 2⋅ g⋅ y⋅

d

or

2
⎛ y3 ⎞
d
⎜
= − 2⋅ g⋅ y⋅
4
dt ⎝ 3 ⎠

2d

( tan( θ) ) ⋅

2

4

3

Separating variables

2

y ⋅ dy = −

2⋅ g⋅ d

2

4 ⋅ tan( θ)

2

⋅ dt

0

Hence

⌠
3
⎮
⎮
2⋅ g⋅ d
2
⋅t
⎮ y dy = −
2
⌡y
4 ⋅ tan( θ)
0

5

or

2
5

⋅ y0

2

2⋅ g⋅ d

=

4 ⋅ tan( θ)

5
2

Solving for t

8 tan( θ) ⋅ y 0
t= ⋅
5
2⋅ g⋅ d

2

and using the given data

t = 2.55⋅ min

2

⋅t

To find the time to drain from 12 in to 6 in., we use the time equation with the two depths; this finds the time to drain from 12 in and 6
in, so the difference is the time we want
5
2

8 tan( θ) ⋅ y 0
∆t1 = ⋅
5
2
2⋅ g⋅ d

y 1 = 6 ⋅ in

2

5
2

8 tan( θ) ⋅ y 1
− ⋅
5
2
2⋅ g⋅ d

2

∆t1 = 2.1⋅ min

5
2

8 tan( θ) ⋅ y 1
∆t2 = ⋅
2
5
2⋅ g⋅ d

2

∆t2 = 0.451 ⋅ min

∆t1 + ∆t2 = 2.55⋅ min

Note that

The second time is a bit longer because although the flow rate decreases, the area of the funnel does too.

Drain Time (min)

3

2

1

0.25

0.3

0.35

0.4

d (in)

0.45

0.5

Problem 4.56

[Difficulty: 4]

Given:

Data on draining of a funnel

Find:

Diameter that will drain in 1 min.; plot diamter versus depth y 0

Solution:
 
∂
ρdV + ∫ ρV ⋅ dA = 0
∫
∂t CV
CS

Basic equation

Assumptions: 1) Uniform flow 2) Incompressible flow 3) Neglect air density
Treating the funnel as the CV the basic equation becomes
y

∂⌠
⎮ ρ⋅ Afunnel dy + ρ⋅ V⋅ Aopening = 0
∂t ⌡
0

2

2

For the funnel

Afunnel = π⋅ r = π⋅ ( y ⋅ tan( θ) )

Hence

y
π 2
2∂⌠
2
ρ⋅ π⋅ ( tan( θ) ) ⋅ ⎮ y dy + ρ⋅ V⋅ ⋅ d = 0
4
∂t ⌡0

2
⎛ y3 ⎞
d
⎜
= − 2⋅ g⋅ y⋅
4
dt ⎝ 3 ⎠

2d

( tan( θ) ) ⋅

or

3
2 2 dy

( tan( θ) ) ⋅ y ⋅

Then

dt

= − 2⋅ g⋅ y⋅

d

2

2

y ⋅ dy = −

Separating variables

4

2⋅ g⋅ d

2

4 ⋅ tan( θ)

2

⋅ dt

0

⌠
3
⎮
⎮
2⋅ g⋅ d
2
⋅t
⎮ y dy = −
2
⌡y
4
⋅
tan
(
θ
)
0

Hence

5

2

or

5

⋅ y0

2

=

2⋅ g⋅ d
4 ⋅ tan( θ)

2

⋅t

5
2

d =

Solving for d

8 tan( θ) ⋅ y 0
⋅
5
2⋅ g⋅ t

2

t = 1 min

and using the given data, for

d = 0.399 in

1

d (in)

0.8
0.6
0.4
0.2
0

2

4

6

8

10

12

y0 (in)

14

16

18

20

22

24

Problem 4.57

[Difficulty: 4] Part 1/2

Problem 4.57

For p = 500 kPa, solving Eq. 2 for t we find t = 42.2 days

[Difficulty: 4] Part 2/2

Problem 4.58

Given:

Data on flow through a control surface

Find:

Net rate of momentum flux

Solution:
Basic equation: We need to evaluate

∫

CS

[Difficulty: 3]

 
VρV ⋅ dA

Assumptions: 1) Uniform flow at each section
From Problem 4.24

ft
V1 = 10⋅
s

Then for the control surface

A1 = 0.5⋅ ft

ft
V2 = 20⋅
s

2

A2 = 0.1⋅ ft

2

A3 = 0.6⋅ ft

2

ft
V3 = 5 ⋅
s

It is an outlet

 
     
  
VρV ⋅ dA = V1ρV1 ⋅ A1 + V2 ρV2 ⋅ A2 + V3 ρV3 ⋅ A3
CS
 
 
 
= V1iˆρ V1 ⋅ A1 + V2 ˆjρ V2 ⋅ A2 + V3 sin(60)iˆ − V3 cos(60) ˆj ρ V3 ⋅ A3
= −V1iˆρV1 A1 + V2 ˆjρV2 A2 + V3 sin(60)iˆ − V3 cos(60 ) ˆj ρV3 A3

∫

(

)

(

[

[

]

) [

[

](

]

)

]

= ρ − V12 A1 + V32 A3 sin (60) iˆ + ρ V22 A2 − V32 A3 cos(60 ) ˆj

Hence the x component is

ρ [− V12 A1 + V32 A3 sin (60 )] =
65⋅

lbm
ft

and the y component is

3

(

2

2

⋅s
) ft2 × lbf
= −2406⋅ lbf
lbm⋅ ft
4

2

× −10 × 0.5 + 5 × 0.6 × sin( 60⋅ deg) ⋅

s

ρ [V22 A2 − V32 A3 cos(60 )] =
65⋅

lbm
ft

3

ft
lbf ⋅ s
2
2
× ( 20 × 0.1 − 5 × 0.6 × cos( 60⋅ deg) ) ⋅
×
= 2113⋅ lbf
2
lbm⋅ ft
4

s

2

Problem 4.59

[Difficulty: 3]

y

2h



Given:

Data on flow at inlet and outlet of channel

Find:

Ratio of outlet to inlet momentum flux

Solution:

x


CS


mf x = ∫ uρV ⋅ dA

Basic equation: Momentum flux in x direction at a section

A

Assumptions: 1) Steady flow 2) Incompressible flow
2

Evaluating at 1 and 2

mfx1 = U⋅ ρ⋅ ( −U⋅ 2 ⋅ h ) ⋅ w

mfx1 = 2 ⋅ ρ⋅ w⋅ U ⋅ h

Hence

⌠
⎮
⌠
2
2
mfx2 = ⎮ ρ⋅ u ⋅ w dy = ρ⋅ w⋅ u max ⋅ ⎮
⎮
⌡
−h
⌡

h

h

−h

⎡
⎢1 −
⎣

2⎤

⎛y⎞ ⎥
⎜h
⎝ ⎠⎦

2

⌠
⎮
2
dy = ρ⋅ w⋅ u max ⋅ ⎮
⎮
⌡

h

−h

⎡
⎢1 −
⎣

2 ⋅ ⎛⎜

y⎞

⎝h⎠

2

+

4
⎛ y ⎞ ⎤⎥ dy
⎜
⎝h⎠ ⎦

2
4
2
2 16
mfx2 = ρ⋅ w⋅ u max ⋅ ⎛⎜ 2 ⋅ h − ⋅ h + ⋅ h⎞ = ρ⋅ w⋅ u max ⋅ ⋅ h
5
3
15
⎝
⎠
Then the ratio of momentum fluxes is
16
mfx2
mfx1

But, from Problem 4.34

u max =

=

15

2

⋅ ρ⋅ w⋅ u max ⋅ h
2

2 ⋅ ρ⋅ w⋅ U ⋅ h
3
2

⋅U

⎛ u max ⎞
=
⋅⎜
15 ⎝ U ⎠

2

8

⎛
mfx2
8 ⎜
=
⋅⎜
mfx1
15 ⎝

3
2

⋅U ⎞

U

⎠

2

=

6
5

= 1.2

Hence the momentum increases as it flows in the entrance region of the channel. This appears to contradict common sense, as
friction should reduce flow momentum. What happens is the pressure drops significantly along the channel so the net force on
the CV is to the right.

Problem 4.60

Given:

Data on flow at inlet and outlet of pipe

Find:

Ratio of outlet to inlet momentum flux

Solution:

[Difficulty: 3]


mf x = ∫ uρV ⋅ dA

Basic equation: Momentum flux in x direction at a section

A

Assumptions: 1) Steady flow 2) Incompressible flow

(

)

2

2

Evaluating at 1 and 2

mfx1 = U⋅ ρ⋅ −U⋅ π⋅ R

mfx1 = ρ⋅ π⋅ U ⋅ R

Hence

⌠
⎮
⌠
2⎮
2
mfx2 = ⎮ ρ⋅ u ⋅ 2⋅ π⋅ r dr = 2⋅ ρ⋅ π⋅ u max ⋅
⎮
⌡
0
⌡

2

R

⎡
r ⋅ ⎢1 −
⎣

R

2⎤

⎛r ⎞⎥
⎜R
⎝ ⎠⎦

0

2

⌠
2⎮
dr = 2⋅ ρ⋅ π⋅ u max ⋅ ⎮
⎮
⌡

R

5⎞
3
⎛
⎜ r − 2⋅ r + r dy
4
⎜
2
R ⎠
R
⎝

0

⎛
R
R
2 R
mfx2 = 2⋅ ρ⋅ π⋅ u max ⋅ ⎜
−
+
2
6
2
⎝
2

2

2⎞

⎠

2 R

= ρ⋅ π⋅ u max ⋅

2

3

Then the ratio of momentum fluxes is
1
mfx2
mfx1

But, from Problem 4.35

=

3

u max = 2 ⋅ U

2

⋅ ρ⋅ π⋅ u max ⋅ R
2

ρ⋅ π⋅ U ⋅ R

2

2

⎛ u max ⎞
= ⋅⎜
3 ⎝ U ⎠

2

1

mfx2
mfx1

=

1
3

⋅ ⎛⎜

⎝

2⋅ U ⎞
U

⎠

2

=

4
3

= 1.33

Hence the momentum increases as it flows in the entrance region of the pipe This appears to contradict common sense, as friction
should reduce flow momentum. What happens is the pressure drops significantly along the pipe so the net force on the CV is to
the right.

Problem 4.61

Given:

Data on flow through a bend

Find:

Find net momentum flux

Solution:



Basic equations

[Difficulty: 3]



∫ ρ V ⋅ dA = 0

Momentum fluxes:

mfx =

mfy =

CS

Assumptions: 1) Steady flow 2) Incompressible flow
h
⌠ 1
−⎮ V1 ( y ) ⋅ w dy + V2 ⋅ w⋅ h 2 + V3 ⋅ w⋅ h 3 = 0
⌡

Evaluating mass flux at 1, 2 and 3

0

or

h
h
2
V1max h 1
⌠ 1
⌠ 1
y
dy − V2 ⋅ h 2 =
V3 ⋅ h 3 = ⎮ V1 ( y ) dy − V2 ⋅ h 2 = ⎮ V1max⋅
⋅
− V2 ⋅ h 2
h1
h1
2
⌡
⎮
0
⌡
0

Hence

(

2
V1max =
⋅ V3 ⋅ h 3 + V2 ⋅ h 2
h1

)

Using given data

m
V1max = 3.8
s

For the x momentum, evaluating at 1, 2 and 3
h
⌠ 1
mfx = −⎮ V1 ( y ) ⋅ ρ⋅ V1 ( y ) ⋅ w dy + V3 ⋅ cos( θ) ⋅ ρ⋅ V3 ⋅ h 3 ⋅ w
⌡
0

h
2
3
⌠ 1
2
V1max h 1
⎮ ⎛
y ⎞
2
2
mfx = −⎮ ⎜ V1max⋅
⋅ ρ⋅ w dy + V3 ⋅ ρ⋅ h 3 ⋅ cos( θ) ⋅ w = −
⋅
⋅ ρ⋅ w + V3 ⋅ ρ⋅ h 3 ⋅ w⋅ cos( θ)
2
3
h
1⎠
⎮ ⎝
h1
⌡
0

h
⎛
⎞
2 1
2
mfx = ρ⋅ w⋅ ⎜ −V1max ⋅
+ V3 ⋅ cos( θ) ⋅ h 3
3
⎝
⎠

Using given data

mfx = 841 N

Using given data

mfy = −2075 N

For the y momentum, evaluating at 1, 2 and 3
mfy = −V2 ⋅ ρ⋅ V2 ⋅ h 2 ⋅ w + V3 ⋅ sin( θ) ⋅ ρ⋅ V3 ⋅ h 3 ⋅ w
mfy = ρ⋅ w⋅ ⎛ −V2 ⋅ h 2 − V3 ⋅ sin( θ) ⋅ h 3⎞
⎝
⎠
2

2

Problem 4.49

Problem 4.62

[Difficulty: 2]

Problem 4.63

Given:

Water jet hitting object

Find:

Jet speed; Force generated

[Difficulty: 2]

CS
y

Solution:



x

U

Basic equations: Continuity and Momentum flux in x direction

Rx


Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure throughout 4) Uniform flow
Given data

Q = 1 ⋅ gpm

d = 0.01⋅ in

ρ = 1.94⋅

slug
ft

Using continuity

Q = V⋅ A = U⋅

π
d

⋅d

2

U =

Using data

Q
π
4

Using momentum

⋅d

3

U = 4085
2

ft
s

2

2
2 π⋅ D
Rx = u 1 ⋅ ρ⋅ −u 1 ⋅ A1 = −ρ⋅ U ⋅ A = −ρ⋅ U ⋅
4

(

)

2 π⋅ d

Rx = −ρ⋅ U ⋅

Hence

2

ft
Rx = −1.94⋅
× ⎛⎜ 4085⋅ ⎞ ×
3
s⎠
⎝
ft
slug

π⋅ ⎛⎜

2

4
.01

⋅ ft⎞

2

2
⎝ 12 ⎠ × lbf ⋅ s

4

slug⋅ ft

Rx = −17.7⋅ lbf

U = 2785⋅ mph

FAST!

Problem 4.64

Given:

Fully developed flow in pipe

Find:

Why pressure drops if momentum is constant

[Difficulty: 1]

Solution:
Basic equation: Momentum flux in x direction

Assumptions: 1) Steady flow 2) Fully developed flow
Hence

∆p
Fx =
− τw⋅ As = 0
L

∆p = L⋅ τw⋅ As

where ∆p is the pressure drop over length L, τw is the wall friction and As is the pipe surface area
The sum of forces in the x direction is zero. The friction force on the fluid is in the negative x direction, so the net pressure force
must be in the positive direction. Hence pressure drops in the x direction so that pressure and friction forces balance

Problem 4.65

Given:

Data on flow and system geometry

Find:

Force required to hold plug

[Difficulty: 2]

Solution:
Basic equation:

3

The given data is

Then

D1 = 0.25⋅ m

A1 =

π⋅ D1

D2 = 0.2⋅ m

Q = 1.5⋅

m

p 1 = 3500⋅ kPa

s

ρ = 999 ⋅

kg
3

m

2
2

Q
V1 =
A1

m
V1 = 30.6
s

2

Q
V2 =
A2

m
V2 = 84.9
s

A1 = 0.0491 m

4

π
2
2
A2 = ⋅ ⎛ D1 − D2 ⎞
⎠
4 ⎝

A2 = 0.0177 m

Applying the basic equation

(

)

(

−F + p 1 ⋅ A2 − p 2 ⋅ A2 = 0 + V1 ⋅ −ρ⋅ V1 ⋅ A1 + V2 ⋅ ρ⋅ V2 ⋅ A2

Hence

)

and

p2 = 0

(gage)

F = p 1 ⋅ A1 + ρ⋅ ⎛ V1 ⋅ A1 − V2 ⋅ A2⎞
⎝
⎠
2

F = 3500 ×

kN
2

m

2

2

⋅ 0.0491⋅ m + 999 ⋅

kg
3

m

×

2
2
⎡⎛
⎤
m
⎢⎜ 30.6⋅ ⎞ ⋅ 0.0491⋅ m2 − ⎛⎜ 84.9⋅ m ⎞ ⋅ 0.0177⋅ m2⎥
s⎠
s⎠
⎣⎝
⎝
⎦

F = 90.4⋅ kN

Problem 4.66

Given:

Nozzle hitting stationary cart

Find:

Value of M to hold stationary; plot M versu θ

[Difficulty: 2]

Solution:
Basic equation: Momentum flux in x direction for the tank

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure throughout 4) Uniform flow 5) Exit velocity is V
2

Rx = −M ⋅ g = V⋅ ρ⋅ ( −V⋅ A) + V⋅ cos( θ) ⋅ ( V⋅ A) = ρ⋅ V ⋅ A⋅ ( cos( θ) − 1 )

Hence

2

When θ = 40o

M =

s

9.81⋅ m

× 1000⋅

kg
3

m

× ⎛⎜ 10⋅

⎝

m⎞
s

⎠

2

2

× 0.1⋅ m × ( 1 − cos( 40⋅ deg) )

2

M=

ρ⋅ V ⋅ A
g

⋅ ( 1 − cos( θ) )

M = 238 kg

M (kg)

3000
2000
1000

0

45

90

Angle (deg)

This graph can be plotted in Excel

135

180

Problem 4.67

[Difficulty: 2]

Given:

Large tank with nozzle and wire

Find:

Tension in wire; plot for range of water depths

Solution:
Basic equation: Momentum flux in x direction for the tank

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure throughout 4) Uniform flow
Hence

When y = 0.9 m

2

Rx  T  V ρ ( V A)  ρ V  A  ρ ( 2  g  y ) 

T 

π
2

 1000

kg
3

m

 9.81

m
2

π d

2

T

4
2

 0.9 m  ( 0.015  m) 

s

1
2

 ρ g  y  π d

2

T is linear with y!

2

N s

kg m

T  3.12 N

4

T (N)

3
2
1
0

0.3

0.6

y (m)
This graph can be plotted in Excel

0.9

Problem 4.68

Given:

Water flowing past cylinder

Find:

Horizontal force on cylinder

[Difficulty: 2]

y

V


x

Solution:

CS

Rx

Basic equation: Momentum flux in x direction


V

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure throughout 4) Uniform flow

(

)

(

)

Hence

Rx = u 1 ⋅ ρ⋅ −u 1 ⋅ A1 + u 2 ⋅ ρ⋅ u 2 ⋅ A2 = 0 + ρ⋅ ( −V⋅ sin( θ) ) ⋅ ( V⋅ a⋅ b )

For given data

Rx = −1000⋅

kg
3

m

× ⎛⎜ 3 ⋅

m⎞

⎝ s⎠

2

θ

2

Rx = −ρ⋅ V ⋅ a⋅ b ⋅ sin( θ)
2

× 0.0125⋅ m × 0.0025⋅ m × sin( 20⋅ deg) ×

This is the force on the fluid (it is to the left). Hence the force on the cylinder is

N⋅ s

kg⋅ m

Rx = −Rx

Rx = −0.0962 N
Rx = 0.0962 N

Problem 4.69

[Difficulty: 2]

Given:

Water jet hitting plate with opening

Find:

Force generated on plate; plot force versus diameter d

CS
y

Solution:

x


V

V



Basic equation: Momentum flux in x direction

Rx

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure throughout 4) Uniform flow
2

2 π⋅ D
2 π⋅ d
Rx = u 1 ⋅ ρ⋅ −u 1 ⋅ A1 + u 2 ⋅ ρ⋅ u 2 ⋅ A2 = −ρ⋅ V ⋅
+ ρ⋅ V ⋅
4
4

(

Hence

)

(

)

2

For given data

π
slug ⎛
ft
Rx = − ⋅ 1.94⋅
× ⎜ 15⋅ ⎞ ×
4
3
⎝ s⎠
ft

2
⎛ 1 ⋅ ft⎞ × ⎢⎡1 −
⎜
⎝3 ⎠ ⎣

2

2
2
⎛ 1 ⎞ ⎤⎥ × lbf ⋅ s
⎜
⎝ 4 ⎠ ⎦ slug⋅ ft

2

Rx = −

2

π⋅ ρ⋅ V ⋅ D
4

⎡

⋅ ⎢1 −

⎣

2
⎛ d ⎞ ⎤⎥
⎜D
⎝ ⎠⎦

Rx = −35.7⋅ lbf

From Eq 1 (using the absolute value of Rx)

Force (lbf)

40
30
20
10

0

0.2

0.4

0.6

Diameter Ratio (d/D)
This graph can be plotted in Excel

0.8

1

(1)

Problem 4.70

[Difficulty: 4]

y

V
x
CS

W

Rx

Given:

Water flowing into tank

Find:

Mass flow rates estimated by students. Explain discrepancy

Solution:
Basic equation: Momentum flux in y direction

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure throughout 4) Uniform flow
For the first student

m1 =

ρ⋅ V

where m1 represents mass flow rate (software cannot render a dot above it!)

t

kg
1
3
m1 = 1000⋅
× 3⋅ m ×
3
60⋅ s
m
For the second student

M
m2 =
t

kg
m1 = 50.0
s

where m2 represents mass flow rate

1
m2 = 3150⋅ kg ×
60⋅ s

kg
m2 = 52.5
s

There is a discrepancy because the second student is measuring instantaneous weight PLUS the force generated as the pipe flow
momentum is "killed".
There is a discrepancy because the second student is measuring instantaneous weight PLUS the force generated as the pipe flow
momentum is "killed". To analyse this we first need to find the speed at which the water stream enters the tank, 10 m below the
pipe exit. This would be a good place to use the Bernoulli equation, but this problem is in the set before Bernoulli is covered.
Instead we use the simple concept that the fluid is falling under gravity (a conclusion supported by the Bernoulli equation). From
the equations for falling under gravity:
2

2

Vtank = Vpipe + 2 ⋅ g ⋅ h
where V tank is the speed entering the tank, Vpipe is the speed at the pipe, and h = 10 m is the distance traveled. Vpipe is obtained from
m1

Vpipe =

2

ρ⋅

π⋅ d pipe
4

=

4 ⋅ m1
2

π⋅ ρ⋅ d pipe

3

4
kg
m
Vpipe =
× 50⋅
×
×
π
s
1000⋅ kg

Then

Vtank =

⎛ 1 ⎞
⎜ 0.05⋅ m
⎝
⎠

2

m
Vpipe = 25.5
s

2

2

Vpipe + 2 ⋅ g ⋅ h

⎛ 25.5⋅ m ⎞ + 2 × 9.81⋅ m × 10m
⎜
s⎠
2
⎝
s

Vtank =

m
Vtank = 29.1
s

We can now use the y momentum equation for the CS shown above

(

)

Ry − W = −Vtank⋅ ρ⋅ −Vtank⋅ Atank

Vtank⋅ Atank = Vpipe⋅ Apipe

where A tank is the area of the water flow as it enters the tank. But for the water flow
2

Hence

∆W = Ry − W = ρ⋅ Vtank⋅ Vpipe⋅

π⋅ d pipe
4

This equation indicate the instantaneous difference ΔW between the scale reading (Ry) and the actual weight of water (W) in the tank
∆W = 1000⋅

kg
3

× 29.1⋅

m

m
s

× 25.5⋅

m
s

∆m =

Inducated as a mass, this is

×

π
4

× ( 0.05⋅ m)

2

∆W
g

∆W = 1457 N
∆m = 149 kg

Hence the scale overestimates the weight of water by 1457 N, or a mass of 149 kg
For the second student

M = 3150⋅ kg − 149 ⋅ kg

Hence

M
m2 =
t

M = 3001 kg

where m2 represents mass flow rate

1
kg
m2 = 3001⋅ kg ×
m2 = 50.0
60⋅ s
s
Comparing with the answer obtained from student 1, we see the students now agree! The discrepancy was entirely caused by the
fact that the second student was measuring the weight of tank water PLUS the momentum lost by the water as it entered the tank!

Problem 4.71

[Difficulty: 3]

Given:

Water tank attached to mass

Find:

Whether tank starts moving; Mass to just hold in place

Solution:
Basic equation: Momentum flux in x direction for the tank

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure at exit 4) Uniform flow
Hence

2
2 π⋅ D

Rx = V⋅ cos( θ) ⋅ ρ⋅ ( V⋅ A) = ρ⋅ V ⋅

4

⋅ cos( θ)
V=

We need to find V. We could use the Bernoulli equation, but here it is known that
V =

2 × 9.81⋅

m
2

× 2⋅ m

V = 6.26

s
Hence

Rx = 1000⋅

kg
3

m

× ⎛⎜ 6.26⋅

⎝

m⎞
s

⎠

This force is equal to the tension T in the wire

2

×

π
4

2⋅ g⋅ h

where h = 2 m is the
height of fluid in the tank

m
s
2

× ( 0.05⋅ m) × cos( 60⋅ deg)

Rx = 38.5 N

T = Rx

T = 38.5 N
Fmax = M ⋅ g ⋅ μ

For the block, the maximum friction force a mass of M = 10 kg can generate is
m

where µ is static friction

2

N⋅ s

Fmax = 10⋅ kg × 9.81⋅ × 0.55 ×
2
kg⋅ m
s

Fmax = 54.0 N

Hence the tension T created by the water jet is less than the maximum friction F max; the tank is at rest
The mass that is just sufficient is given by

M=

Rx
g⋅ μ

M ⋅ g ⋅ μ = Rx
M = 38.5⋅ N ×

1

2

⋅

s

9.81 m

×

1
0.55

×

kg⋅ m
2

N⋅ s

M = 7.14 kg

Problem 4.72

Given:

Gate held in place by water jet

Find:

Required jet speed for various water depths

[Difficulty: 4]

Solution:
Basic equation: Momentum flux in x direction for the wall
Note: We use this equation ONLY for the jet impacting the wall. For the hydrostatic force and location we use computing equations
Ixx
FR = p c⋅ A
y' = y c +
A⋅ y c
Assumptions: 1) Steady flow 2) Incompressible flow 3) Uniform flow
Hence

(

2
2 π⋅ D

)

Rx = V⋅ ρ⋅ −V⋅ Ajet = −ρ⋅ V ⋅

4

This force is the force generated by the wall on the jet; the force of the jet hitting the wall is then
2

2 π⋅ D
Fjet = −Rx = ρ⋅ V ⋅
4

For the hydrostatic force

where D is the jet diameter
w⋅ h

h
1
2
FR = p c⋅ A = ρ⋅ g ⋅ ⋅ h ⋅ w = ⋅ ρ⋅ g ⋅ w⋅ h
2
2

3

Ixx
h
2
12
y' = y c +
=
+
= ⋅h
A⋅ y c
2
h
3
w⋅ h ⋅
2

where h is the water depth and w is the gate width
For the gate, we can take moments about the hinge to obtain

h
−Fjet⋅ h jet + FR⋅ ( h − y') = −Fjet⋅ h jet + FR⋅ = 0
3

where h jet is the height of the jet from the ground
2

Hence

For the first case (h = 1 m)

For the second case (h = 0.5 m)

For the first case (h = 0.25 m)

h
1
2 π⋅ D
2 h
Fjet = ρ⋅ V ⋅
⋅ h jet = FR⋅ = ⋅ ρ⋅ g ⋅ w⋅ h ⋅
4
3
2
3

V =

V =

V =

2
3⋅ π
2
3⋅ π
2
3⋅ π

× 9.81⋅

m
2

m
2

m
2

s

V = 28.9

m

V = 10.2

m

V = 3.61

m

2

3

× 1 ⋅ m × ( 0.5⋅ m) ×

3

⎛ 1 ⎞ × 1
⎜ 0.05⋅ m
1⋅ m
⎝
⎠

× 1 ⋅ m × ( 0.25⋅ m) ×

2

3

3 ⋅ π⋅ D ⋅ h j

⎛ 1 ⎞ × 1
⎜
1⋅ m
⎝ 0.05⋅ m ⎠

s
× 9.81⋅

2 ⋅ g ⋅ w⋅ h

2

3

× 1 ⋅ m × ( 1 ⋅ m) ×

s
× 9.81⋅

V=

2

⎛ 1 ⎞ × 1
⎜
1⋅ m
⎝ 0.05⋅ m ⎠

s

s

s

Problem 4.55

Problem 4.73

[Difficulty: 2]

Problem 4.56

Problem 4.74

[Difficulty: 2]

Problem 4.75

[Difficulty: 2]

Problem 4.76

[Difficulty: 3]

Given:

Flow into and out of CV

Find:

Expressions for rate of change of mass, and force

Solution:
Basic equations: Mass and momentum flux

Assumptions: 1) Incompressible flow 2) Uniform flow
dMCV

For the mass equation

dt

dMCV
→→
(
+ ρ⋅ ( −V1 ⋅ A1 − V2 ⋅ A2 + V3 ⋅ A3 + V4 ⋅ A4 ) = 0
ρ⋅ V⋅ A) =
∑
dt

+

CS

dMCV
dt
Fx +

For the x momentum

(

= ρ⋅ V1 ⋅ A1 + V2 ⋅ A2 − V3 ⋅ A3 − V4 ⋅ A4

p 1 ⋅ A1

+

2

5
13

⋅ p 2 ⋅ A2 −

4
5

⋅ p 3 ⋅ A3 −

5
13

)

⋅ p 4 ⋅ A4 = 0 +

V1

(
2

p 1 ⋅ A1

−

2

5
13

⋅ p 2 ⋅ A2 +

Fy +

For the y momentum

4
5

p 1 ⋅ A1
2

⋅ p 3 ⋅ A3 +

−

12
13

5
13

⋅ p 4 ⋅ A4 + ρ⋅ ⎛⎜ −

⎝

⋅ p 2 ⋅ A2 −

3
5

⋅ p 3 ⋅ A3 +

p 1 ⋅ A1
2

+

12
13

⋅ p 2 ⋅ A2 +

3
5

⋅ p 3 ⋅ A3 −

12
13

⋅ p 4 ⋅ A4 + ρ⋅ ⎛⎜ −

⎝

)

)

(

)

5
4
5
2
2
2
2
⋅ V1 ⋅ A1 −
⋅ V2 ⋅ A2 + ⋅ V3 ⋅ A3 +
⋅ V3 ⋅ A3⎞
13
5
13
2
⎠

1

12
13

⋅ p 4 ⋅ A4 = 0 +

V1

(
2

)

(

12

)

⋅ V ⋅ −ρ⋅ V2 ⋅ A2 ...
13 2
12
3
+ ⋅ V3 ⋅ ρ⋅ V3 ⋅ A3 −
⋅ V ⋅ ρ⋅ V3 ⋅ A3
13 3
5
⋅ −ρ⋅ V1 ⋅ A1 −

(

Fy = −

(

5

⋅ V ⋅ −ρ⋅ V2 ⋅ A2 ...
13 2
4
5
+ ⋅ V3 ⋅ ρ⋅ V3 ⋅ A3 +
⋅ V ⋅ ρ⋅ V3 ⋅ A3
5
13 3

(

Fx = −

)

⋅ −ρ⋅ V1 ⋅ A1 +

)

(

)

12
3
12
2
2
2
2
⋅ V1 ⋅ A1 −
⋅ V2 ⋅ A2 + ⋅ V3 ⋅ A3 −
⋅ V3 ⋅ A3⎞
13
5
13
2
⎠

1

Problem 4.77

[Difficulty: 2]

y
x

CS


Rx


Given:

Water flow through elbow

Find:

Force to hold elbow

Solution:
Basic equation: Momentum flux in x direction for the elbow
Assumptions: 1) Steady flow 2) Incompressible flow 3) Uniform flow
Hence

(

From continuity V2 ⋅ A2 = V1 ⋅ A1

Hence

)

(

Rx + p 1g ⋅ A1 + p 2g ⋅ A2 = V1⋅ −ρ⋅ V1⋅ A1 − V2⋅ ρ⋅ V2⋅ A2

⎛ D1 ⎞
V2 = V1⋅
= V1⋅ ⎜
A2
⎝ D2 ⎠
A1

so

3 N

Rx = −350 × 10 ⋅

2

m

×

π⋅ ( 0.2⋅ m)
4

2

3 N

− 75 × 10 ⋅

2

m

×

Rx = −p 1g ⋅ A1 − p 2g ⋅ A2 − ρ⋅ ⎛ V1 ⋅ A1 + V2 ⋅ A2⎞
⎝
⎠

)

2

2

m 0.2 ⎞
V2 = 0.8⋅ ⋅ ⎛⎜
s ⎝ 0.04⎠

π⋅ ( 0.04⋅ m)
4

2

2

m
V2 = 20⋅
s

2

...

2
2
2
2
2
kg ⎡⎛
π⋅ ( 0.2⋅ m)
π⋅ ( .04⋅ m) ⎤ N⋅ s
m
m
⎥×
× ⎢⎜ 0.8⋅ ⎞ ×
+ −1000⋅
+ ⎛⎜ 20⋅ ⎞ ×
3 ⎣⎝
4
4
s⎠
⎝ s⎠
⎦ kg⋅ m
m

Rx = −11.6⋅ kN

The force is to the left: It is needed to hold the elbow on against the high pressures, plus it generates the large change in x momentum

Problem 4.78

[Difficulty: 2]

y
CS

x

Rx

Given:

Water flow through elbow

Find:

Force to hold elbow

Solution:
Basic equation: Momentum flux in x direction for the elbow
Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure at exit 4) Uniform flow
Hence

(

)

(

Rx + p 1g ⋅ A1 = V1⋅ −ρ⋅ V1⋅ A1 − V2⋅ ρ⋅ V2⋅ A2

From continuity V2 ⋅ A2 = V1 ⋅ A1
Hence

Rx = −15⋅

lbf
2

in

so
2

× 4⋅ in − 1.94⋅

slug
ft

3

×

)

Rx = −p 1g ⋅ A1 − ρ⋅ ⎛ V1 ⋅ A1 + V2 ⋅ A2⎞
⎝
⎠
2

A1
V2 = V1⋅
A2

2

ft 4
V2 = 10⋅ ⋅
s 1

2
2
⎡⎛ ft ⎞ 2 2 ⎛ ft ⎞ 2
⎤
1⋅ ft ⎞
lbf ⋅ s
2
⎢⎜ 10⋅
×
⋅ 4⋅ in + ⎜ 40⋅
⋅ 1⋅ in ⎥ × ⎛⎜
slug ⋅ ft
⎣⎝ s ⎠
⎝ s⎠
⎦ ⎝ 12⋅ in ⎠

ft
V2 = 40⋅
s
Rx = −86.9⋅ lbf

The force is to the left: It is needed to hold the elbow on against the high pressure, plus it generates the large change in x momentum

Problem 4.79

Given:

Water flow through nozzle

Find:

Force to hold nozzle

[Difficulty: 2]

Solution:
Basic equation: Momentum flux in x direction for the elbow
Assumptions: 1) Steady flow 2) Incompressible flow 3) Uniform flow
Hence

(

From continuity V2 ⋅ A2 = V1 ⋅ A1

Hence

)

(

Rx + p 1g⋅ A1 + p 2g⋅ A2 = V1 ⋅ −ρ⋅ V1 ⋅ A1 + V2 ⋅ cos( θ) ⋅ ρ⋅ V2 ⋅ A2

3 N

Rx = −15 × 10 ⋅

2

m
Rx = −668 ⋅ N

×

⎛ D1 ⎞
= V1 ⋅ ⎜
V2 = V1 ⋅
A2
⎝ D2 ⎠
A1

s
o
π⋅ ( 0.3⋅ m)
4

2

+ 1000⋅

kg
3

m

×

2

)

Rx = −p 1g⋅ A1 + ρ⋅ ⎛ V2 ⋅ A2 ⋅ cos( θ) − V1 ⋅ A1⎞
⎝
⎠
2

m 30
V2 = 1.5⋅ ⋅ ⎛⎜ ⎞
s ⎝ 15 ⎠

2

2

m
V2 = 6 ⋅
s

2
2
2
⎡⎛ m 2 π⋅ ( 0.15⋅ m) 2
m
π⋅ ( .3⋅ m) ⎤ N⋅ s
⎢⎜ 6 ⋅ ⎞ ×
⎥×
⋅ cos( 30⋅ deg) − ⎛⎜ 1.5⋅ ⎞ ×
s⎠
4
4
⎣⎝ s ⎠
⎝
⎦ kg⋅ m

The joint is in tension: It is needed to hold the elbow on against the high pressure, plus it generates the large
change in x momentum

Problem 4.61

Problem 4.80

[Difficulty: 2]

Problem 4.63

Problem 4.81

[Difficulty: 2]

Problem 4.82

[Difficulty: 2]

CS



y
x
Given:

Water flow through orifice plate

Find:

Force to hold plate

Rx

Solution:
Basic equation: Momentum flux in x direction for the elbow
Assumptions: 1) Steady flow 2) Incompressible flow 3) Uniform flow

(

)

(

Hence

Rx + p 1g⋅ A1 − p 2g⋅ A2 = V1 ⋅ −ρ⋅ V1 ⋅ A1 + V2 ⋅ ρ⋅ V2 ⋅ A2

From continuity

Q = V1 ⋅ A1 = V2 ⋅ A2

so

Q
ft
V1 =
= 20⋅
×
A1
s

3

4
1
π⋅ ⎛⎜ ⋅ ft⎞
⎝3 ⎠

2

= 229 ⋅

ft
s

)

Rx = −p 1g⋅ A1 + ρ⋅ ⎛ V2 ⋅ A2 − V1 ⋅ A1⎞
⎝
⎠
2

2

and

2

A1
D
ft
V2 = V1 ⋅
= V1 ⋅ ⎛⎜ ⎞ = 229 ⋅ ×
A2
d
s
⎝ ⎠

2

⎛ 4 ⎞ = 1628⋅ ft
⎜ 1.5
s
⎝ ⎠

NOTE: problem has an error: Flow rate should be 2 ft3/s not 20 ft3/s! We will provide answers to both

Hence

Rx = −200 ⋅

lbf
2

×

π⋅ ( 4 ⋅ in)

2

+ 1.94⋅

4

in

slug
ft

3

×

2
2
2
2⎤
⎡⎛
ft
ft
⎢⎜ 1628⋅ ⎞ × π⋅ ( 1.5⋅ in) − ⎛⎜ 229 ⋅ ⎞ × π⋅ ( 4⋅ in) ⎥ ×
s⎠
s⎠
4
4
⎣⎝
⎝
⎦

×

2
2
2
2⎤
2
2
⎡⎛
ft
ft
⎢⎜ 163 ⋅ ⎞ × π⋅ ( 1.5⋅ in) − ⎛⎜ 22.9⋅ ⎞ × π⋅ ( 4 ⋅ in) ⎥ × ⎛⎜ 1⋅ ft ⎞ × lbf ⋅ s
s⎠
s⎠
4
4
slug⋅ ft
⎣⎝
⎝
⎦ ⎝ 12⋅ in ⎠

2

2

⎛ 1 ⋅ ft ⎞ × lbf ⋅ s
⎜ 12⋅ in
slug⋅ ft
⎝
⎠

Rx = 51707 ⋅ lbf
With more realistic velocities
Hence

Rx = −200 ⋅

lbf
2

in
Rx = −1970⋅ lbf

×

π⋅ ( 4 ⋅ in)
4

2

+ 1.94⋅

slug
ft

3

Problem 4.64

Problem 4.83

[Difficulty: 2]

Problem 4.84

[Difficulty: 2]

CS
Ve

y
x
Rx

Given:

Data on rocket motor

Find:

Thrust produced

Solution:
Basic equation: Momentum flux in x direction for the elbow
Assumptions: 1) Steady flow 2) Neglect change of momentum within CV 3) Uniform flow
Hence





Rx  p eg Ae  Ve ρe Ve Ae  me Ve

Rx  p eg Ae  me Ve

where p eg is the exit pressure (gage), me is the mass flow rate at the exit (software cannot render dot over m!) and V e is the exit velocity
For the mass flow rate

kg
kg
me  mnitricacid  maniline  80
 32
s
s

Hence

Rx  ( 110  101 )  10 

3 N
2

m



π ( 0.6 m)
4

2

 112 

kg
me  112 
s
kg
s

 180 

m
s

2



N s

kg m

Rx  22.7 kN

Problem 4.65

Problem 4.85

[Difficulty: 2]

Problem 4.86

[Difficulty: 3]

Problem 4.87

[Difficulty: 2]

Given:

Data on flow and system geometry

Find:

Deflection angle as a function of speed; jet speed for 10o deflection

Solution:
The given data is

kg

ρ = 999⋅

2

A = 0.01⋅ m

3

L = 2⋅ m

k = 500⋅

m

N

x 0 = 1⋅ m

m

Basic equation (y momentum):
Applying this to the current system in the vertical direction
Fspring = V⋅ sin( θ) ⋅ ( ρ⋅ V⋅ A)

(

)

But

)

2

Hence

k ⋅ x 0 − L⋅ sin( θ) = ρ⋅ V ⋅ A⋅ sin( θ)

Solving for θ

θ = asin⎜

For the speed at which θ =

(

Fspring = k ⋅ x = k ⋅ x 0 − L⋅ sin( θ)

k⋅ x0
⎛
⎞
⎜ k⋅ L + ρ⋅ A⋅ V2
⎝
⎠

10o,

solve

V=

(

k ⋅ x 0 − L⋅ sin( θ)

)

ρ⋅ A⋅ sin( θ)

500 ⋅
V =
999 ⋅

N
m

⋅ ( 1 − 2 ⋅ sin( 5 ⋅ deg) ) ⋅ m

kg
3

⋅
2

kg⋅ m
2

V = 21.8

⋅ 0.01⋅ m ⋅ sin( 5 ⋅ deg) N⋅ s

m

Angle (deg.)

35
30
25
20
15
10
5
0

5

10

15

V (m/s)

20

25

m
s

Problem 4.69

Problem 4.88

[Difficulty: 3]

Problem 4.71

Problem 4.89

[Difficulty: 3]

Problem 4.90

[Difficulty: 2]

y
x
Ry
Rx
CS

Given:

Data on nozzle assembly

Find:

Reaction force

Solution:
Basic equation: Momentum flux in x and y directions

Assumptions: 1) Steady flow 2) Incompressible flow CV 3) Uniform flow
For x momentum

(

)

2

Rx = V2 ⋅ cos( θ) ⋅ ρ⋅ V2 ⋅ A2 = ρ⋅ V2 ⋅

π⋅ D2
4

2

⋅ cos( θ)

⎛ D1 ⎞
V2 = V1 ⋅
= V1 ⋅ ⎜
A2
⎝ D2 ⎠
A1

2

m
V2 = 2 ⋅ ×
s

From continuity

A1 ⋅ V1 = A2 ⋅ V2

Hence

2
2
m⎞
N⋅ s
π
2
⎛
Rx = 1000⋅
×
× ( 0.025 ⋅ m) × cos( 30⋅ deg) ×
× ⎜ 18⋅
3 ⎝
s⎠
kg⋅ m
4
m

For y momentum

Ry − p 1 ⋅ A1 − W − ρ⋅ Vol ⋅ g = −V1 ⋅ −ρ⋅ V1 ⋅ A1 − V2 ⋅ sin( θ) ⋅ ρ⋅ V2 ⋅ A2

(

π⋅ D1

2

+ W + ρ⋅ Vol ⋅ g +

4

W = 4.5⋅ kg × 9.81⋅

m

m
V2 = 18
s

2

3 N

Ry = 125 × 10 ⋅

2

×

×

kg
3

m
Ry = 554 ⋅ N

×

π
4

ρ⋅ π

(

)

⋅ ⎛ V ⋅ D1 − V2 ⋅ D2 ⋅ sin( θ) ⎞
⎠
4 ⎝ 1

N⋅ s

2

2

2

2

kg⋅ m

4
×

3

W = 44.1 N

π⋅ ( 0.075 ⋅ m)

m
+ 1000⋅

)

Rx = 138 ⋅ N

2

s
Hence

2

kg

Ry = p 1⋅
where

⎛ 7.5 ⎞
⎜ 2.5
⎝ ⎠

Vol = 0.002 ⋅ m

2

+ 44.1⋅ N + 1000⋅

⎡⎛ m ⎞ 2
2
⎢⎜ 2 ⋅
× ( 0.075 ⋅ m) −
s
⎣⎝
⎠

kg
3

m

3

× 0.002 ⋅ m × 9.81⋅

m
2

s

2

×

N⋅ s

kg⋅ m

...

2
2
⎛ 18⋅ m ⎞ × ( 0.025 ⋅ m) 2 × sin( 30⋅ deg)⎤⎥ × N⋅ s
⎜ s
⎝
⎠
⎦ kg⋅ m

Problem 4.91

Given:

Data on water jet pump

Find:

Speed at pump exit; pressure rise

[Difficulty: 3]

Solution:
Basic equation: Continuity, and momentum flux in x direction

Assumptions: 1) Steady flow 2) Incompressible flow CV 3) Uniform flow
From continuity

⎛ 0.75 − 0.1 ⎞ + 100 ⋅ ft × 0.1
⎜ 0.75
0.75
s
⎝
⎠

ft
V2 = 10⋅ ×
s
For x momentum

As
Aj
Aj
⎛ A2 − Aj ⎞
V2 = Vs⋅
+ Vj⋅
= Vs⋅ ⎜
+ Vj⋅
A2
A2
A2
⎝ A2 ⎠

−ρ⋅ Vs⋅ As − ρ⋅ Vj⋅ Aj + ρ⋅ V2 ⋅ A2 = 0

(

)

(

ft
V2 = 22⋅
s

)

(

p 1 ⋅ A2 − p 2 ⋅ A2 = Vj⋅ −ρ⋅ Vj⋅ Aj + Vs⋅ −ρ⋅ Vs⋅ As + V2 ⋅ ρ⋅ V2 ⋅ A2

)

A
⎛ 2 Aj
2 s
2⎞
∆p = p 2 − p 1 = ρ⋅ ⎜ Vj ⋅
+ Vs ⋅
− V2
A2
A2
⎝
⎠
∆p = 1.94⋅

slug
ft

Hence

∆p = 1816⋅

3

lbf
ft

2

×

2
2
2
2
⎡⎛
ft
ft
ft ⎤
⎢⎜ 100 ⋅ ⎞ × 0.1 + ⎛⎜ 10⋅ ⎞ × ( 0.75 − 0.1) − ⎛⎜ 22⋅ ⎞ ⎥ × lbf ⋅ s
s⎠
s⎠
0.75 ⎝
0.75
⎣⎝
⎝ s ⎠ ⎦ slug⋅ ft

∆p = 12.6⋅ psi

Problem 4.73

Problem 4.92

[Difficulty: 3]

Problem 4.93

[Difficulty: 3]

V1

V2
CS

p1

p2
Rx

y
x

Given:

Data on adiabatic flow of air

Find:

Force of air on pipe

Solution:
Basic equation: Continuity, and momentum flux in x direction, plus ideal gas equation
p  ρ R T

Assumptions: 1) Steady flow 2) Ideal gas CV 3) Uniform flow
From continuity

ρ1  V1  A1  ρ2  V2  A2  0

ρ1  V1  A  ρ2  V2  A

For x momentum

Rx  p 1  A  p 2  A  V1  ρ1  V1  A  V2  ρ2  V2  A  ρ1  V1  A V2  V1













Rx  p 2  p 1  A  ρ1  V1  A V2  V1
For the air

P1
ρ1 
Rair T1







kg K
1
3 N
ρ1  ( 200  101 )  10 


2
286.9  N m ( 60  273 )  K
m
3 N

Rx  ( 80  200 )  10 

2

m
Hence



ρ1  V1  ρ2  V2

2

 0.05 m  3.15

kg
3

m

 150 

m
s

2

 0.05 m  ( 300  150 ) 

ρ1  3.15

kg
3

m
m
s

2



N s

kg m

Rx  2456 N

This is the force of the pipe on the air; the pipe is opposing flow. Hence the force of the air on the pipe is
Fpipe  2456 N

The air is dragging the pipe to the right

Fpipe  Rx

Problem 4.74

Problem 4.94

[Difficulty: 3]

Problem 4.95

[Difficulty: 3]

V1

V2
CS

p1

p2

ρ1

Rx

y

V3

ρ2

x

Given:

Data on heated flow of gas

Find:

Force of gas on pipe

Solution:
Basic equation: Continuity, and momentum flux in x direction
p = ρ⋅ R⋅ T

Assumptions: 1) Steady flow 2) Uniform flow
From continuity

m3
ρ1
V2 = V1 ⋅
−
ρ2
ρ2 ⋅ A

−ρ1 ⋅ V1 ⋅ A1 + ρ2 ⋅ V2 ⋅ A2 + m3 = 0

3

m
6
kg
m
V2 = 170 ⋅ ×
− 20⋅
×
×
s
2.75
s
2.75⋅ kg
For x momentum

(

m
V2 = 322
s

2

0.15⋅ m

(

)

Rx + p 1 ⋅ A − p 2 ⋅ A = V1 ⋅ −ρ1 ⋅ V1 ⋅ A + V2 ⋅ ρ2 ⋅ V2 ⋅ A
Rx =

⎡( p − p ) + ρ ⋅ V 2 − ρ ⋅ V 2⎤ ⋅ A
2 2
1 1⎦
⎣ 2 1
⎡

3 N

⎢
⎣

m

Rx = ⎢( 300 − 400 ) × 10 ⋅
Hence

)

1

where m3 = 20 kg/s is the mass leaving
through the walls (the software does not
allow a dot)

Rx = 1760 N

2

⎡

kg

⎢
⎣

m

+ ⎢2.75⋅

3

× ⎜⎛ 322 ⋅

⎝

m⎞
s

⎠

2

− 6⋅

kg
3

m

× ⎜⎛ 170 ⋅

⎝

2⎤
⎥ × N⋅ s ⎥ × 0.15⋅ m2
s ⎠ ⎥ kg⋅ m⎥
⎦
⎦

m⎞

2⎤

Problem 4.96

Given:

Data on flow out of pipe device

Find:

Velocities at 1 and 2; force on coupling

[Difficulty: 3]

Solution:
Basic equations (continuity and x and y mom.):

The given data is

ρ = 999⋅

3

kg

D = 20⋅ cm

3

L = 1⋅ m

t = 20⋅ mm

p 3g = 50⋅ kPa Q = 0.3⋅

m
From continuity

Q = A⋅ Vave

Note that at the exit

V( x ) = V1 +

Hence

Q=

1

(

Applying y momentum

V3 =
π

Q
2

⋅D

)

⋅x

(

)

m
V1 = 10
s

⌠
Ry = −⎮
⌡

L

V2 = 2 ⋅ V1

m
V2 = 20
s

m
V3 = 9.549
s

π 2
Rx + p 3g⋅ ⋅ D = −V3 ⋅ ρ⋅ Q
4

0

Expanding and integrating

L

)

4
Applying x momentum

(V2 − V1)

(

1
Vave = ⋅ V1 + V2
2

1
⋅ V1 + V2 ⋅ L⋅ t = ⋅ V1 + 2 ⋅ V1 ⋅ L⋅ t
2
2

2⋅ Q
V1 =
3 ⋅ L⋅ t
At the inlet (location 3)

due to linear velocity distribution

π 2
Rx = −p 3g⋅ ⋅ D − V3 ⋅ ρ⋅ Q
4

⌠
⎮
V( x ) ⋅ ρ⋅ V( x ) ⋅ t dx = −ρ⋅ t⋅ ⎮
⎮
⌡

L

Rx = −4.43⋅ kN

(V2 − V1) ⎤ 2
⎡
⎢V1 +
⋅ x⎥ dx
L
⎣
⎦

0

2
⎡⎢
⎛ V2 − V1 ⎞ L2 ⎛ V2 − V1 ⎞ L3⎥⎤
2
Ry = −ρ⋅ t⋅ ⎢V1 ⋅ L + 2 ⋅ V1 ⋅ ⎜
⋅
+⎜
⋅ ⎥
⎣
⎝ L ⎠ 2 ⎝ L ⎠ 3⎦

Ry = −4.66⋅ kN

m
s

Problem 4.78

Problem 4.97

[Difficulty: 3]

Problem 4.79

Problem 4.98

[Difficulty: 3]

Problem 4.99

[Difficulty: 4]

Given:

Data on flow in wind tunnel

Find:

Mass flow rate in tunnel; Maximum velocity at section 2; Drag on object

Solution:

Basic equations: Continuity, and momentum flux in x direction; ideal gas equation
p = ρ⋅ R⋅ T

Assumptions: 1) Steady flow 2) Uniform density at each section
From continuity

mflow = ρ1 ⋅ V1 ⋅ A1 = ρ1 ⋅ V1 ⋅

π⋅ D1

2

where mflow is the mass flow rate

4

p atm
ρair =
Rair⋅ Tatm

We take ambient conditions for the air density

kg
m π⋅ ( 0.75⋅ m)
mflow = 1.2⋅
× 12.5⋅ ×
3
s
4
m
⌠
⌠
mflow = ⎮ ρ2 ⋅ u 2 dA2 = ρair⋅ ⎮
⎮
⎮
⌡
⌡

Also

R

N
kg⋅ K
1
kg
ρair = 101000⋅
×
×
ρ = 1.2
2
286.9 ⋅ N⋅ m 293 ⋅ K air
3
m
m

2

kg
mflow = 6.63
s

2 ⋅ π⋅ ρair⋅ Vmax ⌠ R 2
2 ⋅ π⋅ ρair⋅ Vmax⋅ R
Vmax⋅ ⋅ 2 ⋅ π⋅ r dr =
⋅ ⎮ r dr =
⌡
R
3
R
0

0

Vmax =

3 ⋅ mflow
2 ⋅ π⋅ ρair⋅ R

3

3

kg

m

Vmax =
× 6.63⋅
×
×
2⋅ π
s
1.2⋅ kg

2

2

r

⎛ 1 ⎞
⎜ 0.375 ⋅ m
⎝
⎠

2

m
Vmax = 18.8
s

⌠
Rx + p 1 ⋅ A − p 2 ⋅ A = V1 ⋅ −ρ1 ⋅ V1 ⋅ A + ⎮ ρ2 ⋅ u 2 ⋅ u 2 dA2
⎮
⌡
R
2
⌠
2
⎮
2 ⋅ π⋅ ρair⋅ Vmax ⌠ R 3
r⎞
⎛
Rx = p 2 − p 1 ⋅ A − V1 ⋅ mflow + ⎮ ρair⋅ ⎜ Vmax⋅
⋅ 2 ⋅ π⋅ r dr = p 2 − p 1 ⋅ A − V1 ⋅ mflow +
⋅ ⎮ r dr
⌡
2
R⎠
⎝
⎮
0
R
⌡

(

For x momentum

(

)

)

(

)

0

(

)

π
2 2
Rx = p 2 − p 1 ⋅ A − V1 ⋅ mflow + ⋅ ρair⋅ Vmax ⋅ R
2
We also have

p 1 = ρ⋅ g ⋅ h 1

p 1 = 1000⋅

kg
3

× 9.81⋅

m
Hence

Rx = ( 147 − 294 ) ⋅

N
2

m
Rx = −54 N

×

m
2

× 0.03⋅ m

p 1 = 294 Pa

p 2 = ρ⋅ g ⋅ h 2

p 2 = 147 ⋅ Pa

s

π⋅ ( 0.75⋅ m)
4

2

⎡

+ ⎢−6.63⋅

⎢
⎣

kg
s

× 12.5⋅

m
s

The drag on the object is equal and opposite

+

π
2

× 1.2⋅

kg
3

m

× ⎛⎜ 18.8⋅

⎝

Fdrag = −Rx

m⎞
s

⎠

2

× ( 0.375 ⋅ m)

⎤

2⎥

⎥
⎦

×

Fdrag = 54.1 N

N
k

Problem 4.100

Given:

Data on wake behind object

Find:

An expression for the drag

[Difficulty: 2]

Solution:
Basic equation:
Momentum

Applying this to the horizontal motion

2
F  U  ρ π 1  U  


1

u ( r)  ρ 2  π r u ( r) dr

0

Integrating and using the limits

1




2
2
F  π ρ U  2   r u ( r) dr


0





2
F  π ρ U  1 





2
 
2 
π r 
2   r  1  cos
dr
 
2
   




2
F  π ρ U   1 





2
4

π

r
  r cos π r  dr
2   r  2  r cos

2
 
 2 



F  π ρ U  1 

 3  2 
8
2 
π 


2




1

0



1

0



F

2
 5 π 2 
 8  π  ρ U



Problem 4.101

Given:

Data on flow in 2D channel

Find:

Maximum velocity; Pressure drop

[Difficulty: 3]

y

2h

x

Solution:


Basic equations: Continuity, and momentum flux in x direction

CS



Assumptions: 1) Steady flow 2) Neglect friction
3

Given data

w = 25⋅ mm

h = 50⋅ mm
Q
U1 =
2⋅ w⋅ h

From continuity

Q = U1 ⋅ 2 ⋅ h ⋅ w

Also

⌠
−ρ⋅ U1⋅ A1 + ⎮ ρ⋅ u 2 dA = 0
⎮
⌡
⌠
⎮
U1 ⋅ 2 ⋅ h ⋅ w = w⋅ ⎮
⎮
⌡

h

⎛

u max⋅ ⎜ 1 −

⎜
⎝

−h

Hence

For x momentum

u max =

3
2

Q = 0.025⋅

y
h

⋅ U1

ρ = 750⋅

s

3

m

⎠

h
4
h
dy = w⋅ u max⋅ ⎡⎢[ h − ( −h ) ] − ⎡⎢ − ⎛⎜ − ⎞⎥⎤⎥⎤ = w⋅ u max⋅ ⋅ h
3
3
3
⎣
⎣
⎝ ⎠⎦⎦

u max = 15

m
s

⌠
Note that there is no Rx (no friction)
p 1 ⋅ A − p 2 ⋅ A = V1 ⋅ −ρ1 ⋅ V1 ⋅ A + ⎮ ρ2 ⋅ u 2 ⋅ u 2 dA2
⎮
⌡
h
⌠
2
2
⎮
2⎞
ρ⋅ u max
1
w ⎮
y
2
2
2
2⎛
⎜
dy = −ρ⋅ U1 +
⋅ ⎡⎢2 ⋅ h − 2 ⋅ ⎛⎜ ⋅ h⎞ + 2 ⋅ ⎛⎜ ⋅ h⎞⎤⎥
p 1 − p 2 = −ρ⋅ U1 + ⋅ ⎮ ρ⋅ u max ⋅ 1 −
h
⎜
A
2
⎣
⎝3 ⎠
⎝ 5 ⎠⎦
h ⎠
⎮
⎝
⌡

(

)

−h

⎡8 3
⎤
8
2
2
∆p = p 1 − p 2 = −ρ⋅ U1 +
⋅ ρ⋅ u max = ρ⋅ U1 ⋅ ⎢ ⋅ ⎛⎜ ⎞ − 1⎥
15
⎣ 15 ⎝ 2 ⎠
⎦
2

Hence

kg

m
U1 = 10.0
s

2⎞
2

m

∆p =

1
5

⋅ ρ⋅ U1

2

∆p = 15.0⋅ kPa

Problem 4.102

Given:

Data on flow in 2D channel

Find:

Maximum velocity; Pressure drop

[Difficulty: 3]

y

2h

x

Solution:


Basic equations: Continuity, and momentum flux in x direction

CS



Assumptions: 1) Steady flow 2) Neglect friction
3

R = 75⋅ mm

Given data

From continuity

Q = 0.1⋅

Q = U1 ⋅ π⋅ R

2

m

ρ = 850⋅

s

π⋅ R

3

m

Q

U1 =

kg

m
U1 = 5.66
s

2

⌠
−ρ⋅ U1⋅ A1 + ⎮ ρ⋅ u 2 dA = 0
⎮
⌡

Also

⌠
2 ⎮
U1 ⋅ π⋅ R = ⎮
⎮
⌡

R

2
2
4
2
⎛
⎛ R2
r ⎞
R
R ⎞
R
⎜
⎜
u max⋅ 1 −
−
= 2 ⋅ π⋅ u max⋅
= π⋅ u max⋅
⋅ 2 ⋅ π⋅ r dr = 2 ⋅ π⋅ u max⋅
2
2
⎜
⎜ 2
2
4
R
4
⋅
R
⎝
⎠
⎝
⎠

0

u max = 2 ⋅ U1

Hence

For x momentum

(

u max = 11.3

m
s

⌠
p 1 ⋅ A − p 2 ⋅ A = V1 ⋅ −ρ1 ⋅ V1 ⋅ A + ⎮ ρ2 ⋅ u 2 ⋅ u 2 dA2
⎮
⌡

(

⌠
⎮
2
2
2 ⎮
p 1 − p 2 ⋅ π⋅ R = −ρ⋅ π⋅ R ⋅ U1 + ⎮
⎮
⌡

)

Note that there is no Rx (no friction)

R
2

2
2
4
6
⎛
r ⎞
R
R ⎞
2
2
2 ⎛R
⋅ 2 ⋅ π⋅ r dr = −ρ⋅ π⋅ R ⋅ U1 + 2 ⋅ π⋅ ρ⋅ u max ⋅ ⎜
ρ⋅ u max ⋅ ⎜ 1 −
− 2⋅
+
⎜
⎜ 2
2
2
4
R ⎠
4⋅ R
6⋅ R ⎠
⎝
⎝

)

2

0

1
1
1
1
2
2
2
2
2
2
∆p = p 1 − p 2 = −ρ⋅ U1 + ⋅ ρ⋅ u max = −ρ⋅ U1 + ⋅ ρ⋅ 2 ⋅ U1 = ρ⋅ U1 ⋅ ⎢⎡ ⋅ ( 2 ) − 1⎥⎤ = ⋅ ρ⋅ U1
3
3
3
3
⎣
⎦

(

Hence

∆p =

1
3

× 850 ⋅

kg
3

m

× ⎛⎜ 5.66⋅

⎝

m⎞
s

⎠

2

)

2

×

N⋅ s

kg⋅ m

∆p = 9.08⋅ kPa

Problem 4.84

Problem 4.103

[Difficulty: 3]

Problem 4.86

Problem 4.104

[Difficulty: 3]

Problem 4.105

[Difficulty: 4]

b

CS

c
y
x

a

d
Ff

Given:

Data on flow of boundary layer

Find:

Plot of velocity profile; force to hold plate

Solution:
Basic equations: Continuity, and momentum flux in x direction

Assumptions: 1) Steady flow 2) Incompressible 3) No net pressure force
ρ = 750 ⋅

Given data

kg

m
U0 = 10⋅
s

w = 1⋅ m

3

m

L = 1⋅ m

δ = 5 ⋅ mm

1
0.8
y
δ

0.6
0.4
0.2

0

0.2

0.4

0.6

0.8

u( y )
U0
δ

From continuity

⌠
−ρ⋅ U0 ⋅ w⋅ δ + mbc + ⎮ ρ⋅ u ⋅ w dy = 0
⌡
0

δ

Hence

where mbc is the mass flow rate across bc (Note:
sotware cannot render a dot!)

⌠
mbc = ⎮ ρ⋅ U0 − u ⋅ w dy
⌡

(

)

0

For x momentum

δ
⌠
⌠
−Ff = U0 ⋅ −ρ⋅ U0 ⋅ w⋅ δ + U0 ⋅ mbc + ⎮ u ⋅ ρ⋅ u ⋅ w dy = ⎮
⌡
⌡
0

(

)

δ

⎡−U 2 + u2 + U ⋅ ( U − u)⎤ ⋅ w dy
0 0
⎣ 0
⎦

0

Then the drag force is

δ

δ
⌠
⌠
u ⎞
2 u ⎛
Ff = ⎮ ρ⋅ u ⋅ U0 − u ⋅ w dy = ⎮ ρ⋅ U0 ⋅
⋅⎜1 −
dy
U
U
⎮
⌡
0
0
⎝
⎠
0
⌡

(

)

0

1

But we have

u
U0

=

3
2

⌠
=⎮
w
⎮
⌡

Ff

⋅η −

η= 1

0

1
2

⋅η

3

where we have used substitution

1

u ⎞
2 ⌠
⋅ ⎛⎜ 1 −
dη = ρ⋅ U0 ⋅ δ⋅ ⎮
ρ⋅ U0 ⋅ δ⋅
⎮
U0
U0
⎝
⎠
⌡
0
u

2

Ff

⎛ 3 ⋅ η − 9 ⋅ η2 − 1 ⋅ η3 + 3 ⋅ η4 − 1 ⋅ η6⎞ dη
⎜2
4
2
2
4
⎝
⎠

3
1
3
1 ⎞
3
2
2
−
+
−
= ρ⋅ U0 ⋅ δ⋅ ⎛⎜ −
= 0.139 ⋅ ρ⋅ U0 ⋅ δ
w
⎝ 4 4 8 10 28 ⎠

Hence

Ff
w
Ff
w

= 0.139 × 750 ⋅

kg
3

m
= 52.1

N
m

× ⎛⎜ 10⋅

⎝

m⎞
s

⎠

2

2

× 0.05⋅ m ×

N⋅ s

kg⋅ m

y = δ⋅ η

Problem 4.106

[Difficulty: 4]

b

CS

c
y
x

a

d
Ff

Given:

Data on flow of boundary layer

Find:

Force on plate per unit width

Solution:
Basic equations: Continuity, and momentum flux in x direction

Assumptions: 1) Steady flow 2) Incompressible 3) No net pressure force
δ

From continuity

⌠
−ρ⋅ U0 ⋅ w⋅ δ + mbc + ⎮ ρ⋅ u ⋅ w dy = 0
⌡

where mbc is the mass flow rate across bc (Note: sotware
cannot render a dot!)

0

δ

Hence

⌠
mbc = ⎮ ρ⋅ U0 − u ⋅ w dy
⌡

(

)

0

For x momentum

δ
⌠
⌠
−Ff = U0 ⋅ −ρ⋅ U0 ⋅ w⋅ δ + U0 ⋅ mbc + ⎮ u ⋅ ρ⋅ u ⋅ w dy = ⎮
⌡
⌡
0

(

)

δ

⎡−U 2 + u2 + U ⋅ ( U − u)⎤ ⋅ w dy
0 0
⎣ 0
⎦

0

Then the drag force is

δ

δ
⌠
⌠
u ⎞
2 u ⎛
Ff = ⎮ ρ⋅ u ⋅ U0 − u ⋅ w dy = ⎮ ρ⋅ U0 ⋅
⋅⎜1 −
dy
U0
U0
⎮
⌡
⎝
⎠
0
⌡

(

)

0

But we have

u
U0

=

y

y = δ⋅ η

where we have used substitution

δ

⌠
=⎮
w
⎮
⌡

Ff

η= 1

1

u ⎞
2 ⌠
⋅ ⎛⎜ 1 −
dη = ρ⋅ U0 ⋅ δ⋅ ⎮ η⋅ ( 1 − η) dη
ρ⋅ U0 ⋅ δ⋅
⌡
U0
U0
0
⎝
⎠
u

2

0

Ff
w
Hence

Ff
w
Ff
w

1
1
1
2
2
= ρ⋅ U0 ⋅ δ⋅ ⎛⎜ − ⎞ = ⋅ ρ⋅ U0 ⋅ δ
3
6
2
⎝
⎠
=

1
6

× 1.225 ⋅

= 0.163 ⋅

kg
3

m
N
m

× ⎛⎜ 20⋅

⎝

m⎞
s

⎠

2

×

2
1000

2

⋅m ×

N⋅ s

kg⋅ m

(using standard atmosphere density)

Problem 4.107

Difficulty: 4] Part 1/2

Problem 4.107

[Difficulty: 4] Part 2/2

Problem 4.108

[Difficulty: 4]

Problem 4.109

[Difficulty: 4]

Problem *4.91

Problem *4.110

[Difficulty: 4]

Problem *4.111

[Difficulty: 4]

CS





Given:

Air jet striking disk

Find:

Manometer deflection; Force to hold disk

Solution:
Basic equations: Hydrostatic pressure, Bernoulli, and momentum flux in x direction
2

p
ρ

+

V

+ g ⋅ z = constant

2

Assumptions: 1) Steady flow 2) Incompressible 3) No friction 4) Flow along streamline 5) Uniform flow 6) Horizontal flow (g x = 0)
Applying Bernoulli between jet exit and stagnation point
p
ρair

2

+

V

2

=

p0
ρair

+0

p0 − p =
1

But from hydrostatics

p 0 − p = SG⋅ ρ⋅ g ⋅ ∆h

∆h =

so

2

1
2

2

⋅ ρair⋅ V
2

⋅ ρair⋅ V

SG ⋅ ρ⋅ g
3

2

2

=

ρair⋅ V

2 ⋅ SG ⋅ ρ⋅ g

2

ft
ft
s
1
∆h = 0.002377⋅
×
×
× ⎜⎛ 225 ⋅ ⎞ ×
3
s⎠
2 ⋅ 1.75 1.94⋅ slug 32.2⋅ ft
⎝
ft
slug

For x momentum

(

)

∆h = 0.55⋅ ft

2
2 π⋅ D

Rx = V⋅ −ρair⋅ A⋅ V = −ρair⋅ V ⋅
4
2

ft
Rx = −0.002377⋅
× ⎛⎜ 225 ⋅ ⎞ ×
3
s⎠
⎝
ft
slug

The force of the jet on the plate is then

F = −Rx

π⋅ ⎛⎜

0.5

⋅ ft⎞

2

2
⎝ 12 ⎠ × lbf ⋅ s

4

slug⋅ ft

Rx = −0.164 ⋅ lbf

F = 0.164 ⋅ lbf

∆h = 6.6⋅ in

Problem *4.112

[Difficulty: 3]



CS
y

x

V, A

Rx


Given:

Water jet shooting upwards; striking surface

Find:

Flow rate; maximum pressure; Force on hand

Solution:
Basic equations: Bernoulli and momentum flux in x direction
p
ρ

2



V

2

 g  z  constant

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure throughout 4) Uniform flow
Given data

h  10 m

ρ  1000

kg

D  1  cm

3

m

p atm

Using Bernoulli between the jet exit and its maximum height h

ρ
or

Then

V 

Q 

2 g h

π
4

V  14.0

2

D V

Q  66.0

2



V



V

2



p atm
ρ

 g h

m
s
L
min

For Dr. Pritchard the maximum pressure is obtained from Bernoulli

p atm
ρ

2

2





p max
ρ



p 

1
2

2

 ρ V

p  98.1 kPa
(gage)

2

For Dr. Pritchard blocking the jet, from x momentum applied to the CV Rx  u 1  ρ u 1  A1  ρ V  A
Hence
Repeating for Dr. Fox

2 π

F  ρ V 

4

2

D

h  15 m
p 

1
2

V 
2

 ρ V

2 π

F  ρ V 

F  15.4 N

4

2 g h

p  147.1  kPa

2

D

F  23.1 N

V  17.2

(gage)

m
s

Q 

π
4

2

D V

Q  80.8

L
min

Problem *4.113

[Difficulty: 3]

Problem *4.114

[Difficulty: 3]

CS




Given:

Water jet striking disk

Find:

Expression for speed of jet as function of height; Height for stationary disk

Solution:
Basic equations: Bernoulli; Momentum flux in z direction
p
ρ

2

+

V

2

+ g ⋅ z = constant

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow
The Bernoulli equation becomes

V0

2

2

2

V

+ g⋅ 0 =

2

+ g⋅ h

2

(

2

V = V0 − 2 ⋅ g ⋅ h

)

V=

2

V0 − 2 ⋅ g ⋅ h

2

Hence

−M ⋅ g = w1 ⋅ −ρ⋅ w1 ⋅ A1 = −ρ⋅ V ⋅ A

But from continuity

ρ⋅ V0 ⋅ A0 = ρ⋅ V⋅ A

Hence we get

M ⋅ g = ρ⋅ V⋅ V⋅ A = ρ⋅ V0 ⋅ A0 ⋅ V0 − 2 ⋅ g ⋅ h

Solving for h

h=

V⋅ A = V0 ⋅ A0

so
2

1

⎢⎡

2

⋅ V −
2⋅ g ⎢ 0

⎣

⎛ M⋅ g ⎞
⎜ ρ⋅ V ⋅ A
⎝ 0 0⎠

2⎤

⎥
⎥
⎦

⎡⎢
2
m
h =
×
× ⎢⎛⎜ 10⋅ ⎞ −
2 9.81⋅ m ⎢⎝
s⎠
⎢⎣
1

h = 4.28 m

2

s

3
⎡
⎤
s
4
⎢2⋅ kg × 9.81⋅ m × m
⎥
×
×
1000⋅ kg 10⋅ m
2⎥
2
⎢
25
s
⋅ m⎞ ⎥
π⋅ ⎜⎛
⎢
⎣
⎝ 1000 ⎠ ⎦

2⎤

⎥
⎥
⎥
⎥⎦

Problem *4.96

Problem *4.115

[Difficulty: 4] Part 1/2

Problem *4.96 cont'd

Problem *4.115

[Difficulty: 4] Part 2/2

Problem *4.116

Given:

Stream of water striking a vane

Find:

Water speed; horizontal force on vane

[Difficulty: 3]

Solution:
Basic equations: Bernoulli; Momentum flux in x direction
p
ρ

2

+

V

+ g ⋅ z = constant

2

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow
Given or available data

From Bernoulli

Combining

D = 50⋅ mm

p0 = p +

1
2

2

⋅ ρwater⋅ V

1

kg
ρwater = 1000⋅
3
m

ρHg = 13.6⋅ ρwater

and for the manometer

p 0 − p = ρHg⋅ g ⋅ ∆h

2

⋅ρ
⋅ V = ρHg⋅ g ⋅ ∆h
2 water

Applying x momentum to the vane

V =

or

2 ⋅ ρHg⋅ g ⋅ ∆h
ρwater

θ = 30⋅ deg

V = 14.1

∆h = 0.75⋅ m

m
s

π 2
π 2
Rx = ρwater⋅ V⋅ ⎛⎜ −V⋅ ⋅ D ⎞ + ρwater⋅ ( −V⋅ cos( θ) ) ⋅ ⎛⎜ V⋅ ⋅ D ⎞
4
4

⎝

⎠

2 π 2
Rx = −ρwater⋅ V ⋅ ⋅ D ⋅ ( 1 + cos( θ) )
4

⎝

⎠

Rx = −733 N

Assuming frictionless, incompressible flow with no net pressure force is realistic, except along the vane where friction will
reduce flow momentum at the exit.

Problem *4.117

[Difficulty: 2]

Given:

Data on flow and venturi geometry

Find:

Force on convergent section; water pressure

Solution:
Basic equations:
2

p

Bernoulli equation and x momentum

+

ρ
ρ = 999 ⋅

The given data is

kg

V

2

+ g ⋅ z = const

D = 100 ⋅ mm

3

d = 50⋅ mm

p 1 = 200 ⋅ kPa

Q = 1000⋅

A1 = 0.00785 m

π 2
A2 = ⋅ d
4

A2 = 0.00196 m

m
V1 = 2.12
s

Q
V2 =
A2

m
V2 = 8.49
s

m

L
min

For pressure we first need the velocities
2

A1 =

π⋅ D

V1 =
π

Then

2

4

4

Q
2

⋅D

p1

Applying Bernoulli between inlet and throat

+

ρ

V1

2

=

2

2

p2
ρ

+

V2

2

2

ρ
2
2
p 2 = p 1 + ⋅ ⎛ V1 − V2 ⎞
⎠
2 ⎝

Solving for p 2

p 2 = 200 ⋅ kPa +

1
2

⋅ 999 ⋅

kg
3

(

)

2
2 m

2

× 2.12 − 8.49 ⋅

m

2

s

2

×

N⋅ s

kg⋅ m

×

kN
1000⋅ N

p 2 = 166 ⋅ kPa

Applying the horizontal component of momentum

(

)

(

−F + p 1 ⋅ A2 − p 2 ⋅ A2 = V1 ⋅ −ρ⋅ V1 ⋅ A1 + V2 ⋅ ρ⋅ V2 ⋅ A2

)

F = p 1 ⋅ A1 − p 2 ⋅ A2 + ρ⋅ ⎛ V1 ⋅ A1 − V2 ⋅ A2⎞
⎝
⎠
2

or
F = 200 ⋅

kN
2

m

F = 1.14 kN

2

× 0.00785 ⋅ m − 166 ⋅

kN
2

m

2

2

× 0.00196 ⋅ m + 999 ⋅

kg
3

m

×

2
⎡⎛
⎢⎜ 2.12⋅ m ⎞ ⋅ 0.00785 ⋅ m2 −
s⎠
⎣⎝

2
2
⎛ 8.49⋅ m ⎞ ⋅ 0.00196 ⋅ m2⎤⎥ ⋅ N⋅ s
⎜
s⎠
⎝
⎦ kg × m

Problem *4.118

Given:

Nozzle flow striking inclined plate

Find:

Mimimum gage pressure

[Difficulty: 3]

Solution:
Basic equations: Bernoulli and y momentum
p
ρ
The given data is

2



V

 g  z  const

2

ρ  999 

kg
3

L

q  1200

s m

m

q
V2 
W

For the exit velocity and nozzle velocity

Then from Bernoulli

p1 

ρ

ρ
2
2
 V1  p atm   V2
2
2

W  80 mm h  0.25 m w  20 mm

m
V2  15.0
s

w
V1  V2 
W

or

p1 

θ  30 deg

m
V1  3.75
s

  V  V1
2  2
ρ

H  7.5 m

2

2

  ρ g h

p 1  103  kPa
(gage)

Applying Bernoulli between 2 and the plate (state 3)

p atm 

ρ
2

ρ
2
2
 V2  p atm   V3  ρ g  H
2

V3 

2

V2  2  g  H

m
V3  19.3
s

For the plate there is no force along the plate (x momentum) as there is no friction. For the force normal to the plate
(y momentum) we have





Ry  V3  cos( θ)  ρ V3  A3  V3  cos( θ)  ( ρ q )

Ry  V3  cos( θ)  ρ q

Ry  20.0

kN
m

Problem *4.119

Given:

Water faucet flow

Find:

Expressions for stream speed and diameter; plot

[Difficulty: 3]

Solution:
p

Basic equation: Bernoulli

ρ

2

+

V

+ g ⋅ z = const

2

Assumptions: Laminar, frictionless, uniform flow
D0 = 5 ⋅ mm

The given data is

V0 =
π

The initial velocity is

4

h = 50⋅ mm

Q
⋅ D0

Q =

p atm
ρ

V( z) =

Evaluating at h

2

V0 + 2 ⋅ g ⋅ z

V( h ) = 1.03

Q = 0.333⋅

L
min

m
V0 = 0.283
s

2

Then applying Bernoulli between the exit and any other location

Then

1⋅ L
3⋅ min

Also

m

π
π 2
2
V0⋅ ⋅ D0 = V⋅ ⋅ D
4
4

2

+

V0
2

=

ρ

2

+

V

2

D( z) =

so

− g⋅ z

(z downwards)
D0
1

2⋅ g ⋅ z ⎞
⎜⎛ 1 +
2
⎜
V0
⎝
⎠

D( h ) = 2.62⋅ mm

s

p atm

4

1.25
10

Height (mm)

V (m/s)

1
0.75
0.5

20

30

40

0.25

0

10

20

30

z (mm)

40

50

− 2.5 − 1.5 − 0.5

0.5

Diameter (mm)

1.5

2.5

Problem *4.99

Problem *4.120

[Difficulty: 4]

Problem *4.100

Problem *4.121

[Difficulty: 4]

Problem *4.102

Problem *4.122

[Difficulty: 4]

Problem *4.123

[Difficulty: 4] Part 1/2

Problem *4.123

[Difficulty: 4] Part 2/2

Problem *4.124

[Difficulty: 5]

Given:

Plates coming together

Find:

Expression for velcoity field; exit velocity; plot

Solution:

Apply continuity using deformable CV as shown

Basic equation:

=0

Assumptions: Incompressible, uniform flow
m
V0  0.01
s

Given data:
Continuity becomes

or

2 dh

π r 

R  100  mm

or


t

2

 V 2  π r h  π r  V0  V 2  π r h  0
dt

If V0 is constant

h  h 0  V0  t

Evaluating

V( R 0 )  0.250

Exit Velocity (m/s)

h 0  2  mm

so

m
s

V( r t) 



V0  r

2  h 0  V0  t

V( R 0.1 s)  0.500



πr2h  V2πrh  0

Hence

r
V( r)  V0 
2 h

Note that

tmax 

h0
V0

tmax  0.200 s

m
s

6

4

2

0

0.05

0.1

0.15

t (s)
The velocity greatly increases as the constant flow rate exits through a gap that becomes narrower with time.

0.2

Problem *4.104

Problem *4.125

[Difficulty: 5] Part 1/2

Problem *4.104 cont'd

Problem *4.125

[Difficulty: 5] Part 2/2

Problem *4.126

[Difficulty: 4] Part 1/2

Problem *4.126

[Difficulty: 4] Part 2/2

Problem *4.127

[Difficulty: 3]



CS (moves
at speed U)

y


x

Rx

Ry

Given:

Water jet striking moving vane

Find:

Force needed to hold vane to speed U = 5 m/s

Solution:
Basic equations: Momentum flux in x and y directions

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow 5) Jet relative velocity is
constant
Then

(

)

(

)

Rx = u 1 ⋅ −ρ⋅ V1 ⋅ A1 + u 2 ⋅ ρ⋅ V2 ⋅ A2 = −( V − U) ⋅ [ ρ⋅ ( V − U) ⋅ A] + ( V − U) ⋅ cos( θ) ⋅ [ ρ⋅ ( V − U) ⋅ A]
2

Rx = ρ( V − U) ⋅ A⋅ ( cos( θ) − 1 )

A =

π
4

⋅ ⎜⎛

40

⎝ 1000

⋅ m⎞

2

−3

A = 1.26 × 10

⎠

2

m

Using given data
Rx = 1000⋅

kg
3

× ⎡⎢( 25 − 5 ) ⋅

⎣

m
Then

(

)

(

m⎤

2

2

N⋅ s

−3 2
× 1.26 × 10 ⋅ m × ( cos( 150 ⋅ deg) − 1 ) ×
⎥
s⎦
kg⋅ m

Rx = −940 N

)

Ry = v 1 ⋅ −ρ⋅ V1 ⋅ A1 + v 2 ⋅ ρ⋅ V2 ⋅ A2 = −0 + ( V − U) ⋅ sin( θ) ⋅ [ ρ⋅ ( V − U) ⋅ A]
2

Ry = ρ( V − U) ⋅ A⋅ sin( θ)

Ry = 1000⋅

kg
3

m

× ⎡⎢( 25 − 5 ) ⋅

⎣

m⎤

2

2

N⋅ s

−3 2
R = 252 N
× 1.26 × 10 ⋅ m × sin( 150 ⋅ deg) ×
⎥
s⎦
kg⋅ m y

Hence the force required is 940 N to the left and 252 N upwards to maintain motion at 5 m/s

Problem 4.128

[Difficulty: 3]


CS (moves
at speed U)

y
Rx

Ry

Given:

Water jet striking moving vane

Find:

Force needed to hold vane to speed U = 10 m/s

x

Solution:
Basic equations: Momentum flux in x and y directions

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow 5) Jet relative velocity is
constant
Then

(

)

(

)

Rx = u 1 ⋅ −ρ⋅ V1 ⋅ A1 + u 2 ⋅ ρ⋅ V2 ⋅ A2 = −( V − U) ⋅ [ ρ⋅ ( V − U) ⋅ A] + ( V − U) ⋅ cos( θ) ⋅ [ ρ⋅ ( V − U) ⋅ A]
2

Rx = ρ( V − U) ⋅ A⋅ ( cos( θ) − 1 )
Using given data
Rx = 1000⋅

kg
3

× ⎡⎢( 30 − 10) ⋅

⎣

m
Then

(

)

(

m⎤

2

2

N⋅ s

2
× 0.004 ⋅ m × ( cos( 120 ⋅ deg) − 1 ) ×
⎥
s⎦
kg⋅ m

Rx = −2400 N

)

Ry = v 1 ⋅ −ρ⋅ V1 ⋅ A1 + v 2 ⋅ ρ⋅ V2 ⋅ A2 = −0 + ( V − U) ⋅ sin( θ) ⋅ [ ρ⋅ ( V − U) ⋅ A]
2

Ry = ρ( V − U) ⋅ A⋅ sin( θ)

Ry = 1000⋅

kg
3

m

× ⎡⎢( 30 − 10) ⋅

⎣

m⎤

2

2

N⋅ s

2
× 0.004 ⋅ m × sin( 120 ⋅ deg) ×
⎥
s⎦
kg⋅ m

Hence the force required is 2400 N to the left and 1390 N upwards to maintain motion at 10 m/s

Ry = 1386 N

Problem 4.129

[Difficulty: 2]

Problem 4.130

[Difficulty: 3]

Given:

Data on jet boat

Find:

Formula for boat speed; flow rate; value of k; new speed and flow rate

Solution:
CV in boat
coordinates

Basic equation:
Momentum

Given data

m
D = 75⋅ mm Vj = 15⋅
s

V = 10⋅

m

kg

ρ = 1000⋅

s

3

m

Applying the horizontal component of momentum
Fdrag = V⋅ ( −ρ⋅ Q) + Vj⋅ ( ρ⋅ Q)

2

2

Fdrag = k ⋅ V

or, with

k ⋅ V = ρ⋅ Q⋅ Vj − ρ⋅ Q⋅ V

2

k ⋅ V + ρ⋅ Q⋅ V − ρ⋅ Q⋅ Vj = 0

Solving for V

For the flow rate

To find k from Eq 1, let

V= −

ρ⋅ Q
2⋅ k

2
⎛ ρ⋅ Q ⎞ + ρ⋅ Q⋅ Vj
⎜ 2⋅ k
k
⎝
⎠

+

π

2

Q = Vj⋅ ⋅ D
4
α=

ρ⋅ Q

3

Q = 0.0663

m
s

2

2

2

For

k =

ρ⋅ Q
2⋅ α

m
Vj = 25⋅
s

k = 3.31

α + 2 ⋅ α⋅ Vj
2

( V + α) = V + 2 ⋅ α⋅ V + α = α + 2 ⋅ α⋅ Vj

Hence

2

V = −α +

then

2⋅ k
2

(1)

α =

or

(

V

)

2 ⋅ Vj − V

α = 10

m
s

N

⎛ m⎞
⎜
⎝s⎠
π 2
Q = Vj⋅ ⋅ D
4

2

3

Q = 0.11

m
s

2
⎡ ρ⋅ Q
ρ⋅ Q⋅ Vj⎤
ρ⋅ Q ⎞
⎥ V = 16.7 m
+ ⎛⎜
+
k ⎦
s
⎣ 2⋅ k
⎝ 2⋅ k ⎠

V = ⎢−

Problem 4.110

Problem 4.131

[Difficulty: 2]

Problem 4.112

Problem 4.132

[Difficulty: 2]

Problem 4.133

[Difficulty: 3]


CS (moves
at speed U)

y
Ry

Rx

Given:

Water jet striking moving vane

Find:

Expressions for force and power; Show that maximum power is when U = V/3

Solution:
Basic equation: Momentum flux for inertial CV

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow
5) Jet relative velocity is constant
Then









Rx  u 1 ρ V1 A1  u 2 ρ V2 A2  ( V  U)  [ ρ ( V  U)  A ]  ( V  U)  cos ( θ)  [ ρ ( V  U)  A ]
2

Rx  ρ( V  U)  A  ( cos ( θ)  1)
This is force on vane; Force exerted by vane is equal and opposite
2

Fx  ρ ( V  U)  A ( 1  cos( θ) )
The power produced is then
2

P  U Fx  ρ U ( V  U)  A ( 1  cos( θ) )
To maximize power wrt to U
dP
dU
Hence

2

 ρ ( V  U)  A ( 1  cos( θ) )  ρ ( 2 )  ( 1 )  ( V  U)  U A ( 1  cos( θ) )  0

V  U  2 U  V  3 U  0

Note that there is a vertical force, but it generates no power

U

V
3

for maximum power

x

Problem 4.134

[Difficulty: 3]

CS (moves to
left at speed Vc) 

Vj + Vc

Vj + Vc

y

R

Rx
x
t

Given:

Water jet striking moving cone

Find:

Thickness of jet sheet; Force needed to move cone

Solution:
Basic equations: Mass conservation; Momentum flux in x direction

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow 5) Jet relative velocity is
constant
Then

Hence

(

−ρ⋅ V1 ⋅ A1 + ρ⋅ V2 ⋅ A2 = 0

t=

Dj

)

−ρ⋅ Vj + Vc ⋅

π⋅ Dj
4

2

(

)

+ ρ⋅ Vj + Vc ⋅ 2 ⋅ π⋅ R⋅ t = 0

(Refer to sketch)

2

t =

8⋅ R

1
8

2

× ( 4 ⋅ in) ×

1

t = 0.222 ⋅ in

9 ⋅ in

Using relative velocities, x momentum is

(

)

(

)

(

) (

)

(

)

(

)

Rx = u 1 ⋅ −ρ⋅ V1 ⋅ A1 + u 2 ⋅ ρ⋅ V2 ⋅ A2 = − Vj + Vc ⋅ ⎡ρ⋅ Vj + Vc ⋅ Aj⎤ + Vj + Vc ⋅ cos( θ) ⋅ ⎡ρ⋅ Vj + Vc ⋅ Aj⎤
⎣
⎦
⎣
⎦

(

)2

Rx = ρ Vj + Vc ⋅ Aj⋅ ( cos( θ) − 1 )
Using given data
2

ft
Rx = 1.94⋅
× ⎡⎢( 100 + 45) ⋅ ⎥⎤ ×
3
s⎦
⎣
ft
slug

π⋅ ⎛⎜

4

⋅ ft⎞

2

2
⎝ 12 ⎠ × ( cos( 60⋅ deg) − 1 ) × lbf ⋅ s

4

Hence the force is 1780 lbf to the left; the upwards equals the weight

slug⋅ ft

Rx = −1780⋅ lbf

Problem 4.114

Problem 4.135

[Difficulty: 3]

Problem 4.116

Problem 4.136

[Difficulty: 3]

Problem 4.117

Problem 4.137

[Difficulty: 3]

Problem 4.138

[Difficulty: 2]

Problem 4.139

Given:

Jet impacting a splitter vane

Find:

Mass flow rate ratio; new speed U

Solution:

Apply momentum equation to inertial CV

[Difficulty: 4]

Assumptions: No pressure force; neglect water mass on vane; steady flow wrt vane; uniform flow; no change of speed wrt the vane
Basic equation

Given data

V = 25⋅

−5

m

A = 7.85⋅ 10

s

2

⋅m

U = 10⋅

)

Hence

0 = 0 + ( V − U) ⋅ m2 − ( V − U) ⋅ sin( θ) ⋅ m3

Note that

m1 = ρ⋅ A⋅ ( V − U)

m1 = m2 + m3 so

s

ρ = 999⋅

kg
3

m

0 = v 1⋅ −m1 + v 2⋅ m2 + v 3⋅ m3

For no vertical force, y momentum becomes

and

θ = 30⋅ deg

V− U

For constant speed wrt the vane, the jet velocity at each location is

(

m

where v i and mi are the vertical components
of velocity and mass flow rates, respectively,
at the inlet and exits, wrt the vane
coordinates
m2
1
m2 = m3 ⋅ sin( θ)
= sin( θ) =
m3
2

or

kg
m1 = 1.18
s
m3

m1 = m3 ⋅ sin( θ) + m3

(

m1

=

1

m3

1 + sin( θ)

m1

)

(

=

kg
m3 = 0.784
s

2
3

)

and using x momentum

Rx = u 1 ⋅ −m1 + u 2 ⋅ m2 + u 3 ⋅ m3 = ( V − U) ⋅ −m1 + 0 + ( V − U) ⋅ cos( θ) ⋅ m3

Writing in terms of m1

Rx = ( V − U) ⋅ m1 ⋅ ⎛⎜

Instead, the force is now

Rx = −16⋅ N

Hence

Rx = ( V − U) ⋅ ρ⋅ A⋅ ⎛⎜

Solving for U

U = V−

cos( θ)

⎝ 1 + sin( θ)

Rx = −7.46 N

⎠

Rx = ( V − U) ⋅ m1 ⋅ ⎛⎜

but
2

− 1⎞

cos( θ)

⎝ 1 + sin( θ)

cos( θ)

⎝ 1 + sin( θ)

⎡ρ⋅ A⋅ ⎛
− 1⎞⎥⎤
⎢ ⎜
⎣ ⎝ 1 + sin( θ)
⎠⎦
cos( θ)

− 1⎞

⎠

− 1⎞

Rx

kg
m2 = 0.392
s

⎠
U = 3.03

m
s

and

m1 = ρ⋅ A⋅ ( V − U)

Problem 4.120

Problem 4.133

Problem 4.140

[Difficulty: 3]

Problem 4.141

[Difficulty: 2]

Problem 4.142

[Difficulty: 3]

Problem 4.143

[Difficulty: 4]

Given:

Data on vane/slider

Find:

Formula for acceleration and speed; plot

Solution:
The given data is

ρ = 999 ⋅

kg

2

M = 30⋅ kg

3

A = 0.005 ⋅ m

m

V = 20⋅

dU

The equation of motion, from Problem 4.141, is

dt

2

ρ⋅ ( V − U) ⋅ A

=

M

− g ⋅ μk

2

The acceleration is thus

a=

ρ⋅ ( V − U) ⋅ A

− g ⋅ μk

M

μk = 0.3

s

m

dU

Separating variables

ρ⋅ ( V − U) ⋅ A
M

Substitute

u= V− U

du

dU = −du
ρ⋅ A⋅ u

and u = V - U so

Using initial conditions

⌠
⎮
⎮
⎮
⎮
⌡
−

−

1

⎛ ρ⋅ A⋅ u2
⎞
⎜
− g ⋅ μk
⎝ M
⎠
M
g ⋅ μk ⋅ ρ⋅ A

M
g ⋅ μk ⋅ ρ⋅ A

V− U=

U= V−

Note that

⎛

ρ⋅ A

⎝

g ⋅ μk ⋅ M

⎡

ρ⋅ A

⋅ atanh⎜

⋅ atanh⎢

⎣ g ⋅ μk⋅ M

g ⋅ μk ⋅ M
ρ⋅ A
g ⋅ μk ⋅ M
ρ⋅ A

⎛

ρ⋅ A

⎝

g ⋅ μk ⋅ M

atanh⎜

du = −

− g ⋅ μk

⎛

M
g ⋅ μk ⋅ ρ⋅ A

ρ⋅ A

⋅ atanh⎜

M

⎠

g ⋅ μk ⋅ ρ⋅ A

⎞

⎡

ρ⋅ A

⎣

g ⋅ μk ⋅ M

⋅ atanh⎢

⎤

M

⎦

g ⋅ μk ⋅ ρ⋅ A

⋅ ( V − U)⎥ +

⋅u

⎝ g⋅ μk ⋅ M ⎠

⎞

⋅u = −

− g ⋅ μk

= −dt

2

M
But

= dt

2

⎛

⋅ atanh⎜

⎤

⋅ ( V − U)⎥

⎦

ρ⋅ A

⎞

⋅ V = −t

⎝ g ⋅ μk⋅ M ⎠

⎛ g⋅ μk ⋅ ρ⋅ A
⎛ ρ⋅ A ⋅ V⎞ ⎞
⋅ t + atanh⎜
⎜⎝
M
⎝ g⋅ μk ⋅ M ⎠ ⎠

⋅ tanh⎜

⎛ g⋅ μk ⋅ ρ⋅ A
⎛ ρ⋅ A ⋅ V⎞ ⎞
⋅ t + atanh⎜
⎜⎝
M
⎝ g⋅ μk ⋅ M ⎠ ⎠

⋅ tanh⎜

⎞

π

⎠

2

⋅ V = 0.213 −

⋅i

which is complex and difficult to handle in Excel, so we use the identity

atanh( x ) = atanh⎛⎜

1⎞

⎝x⎠

−

π
2

⋅i

for x > 1

so

U= V−

and finally the identity

tanh⎛⎜ x −

⎝

g ⋅ μk ⋅ M
ρ⋅ A
π
2

⋅ i⎞ =

⎠

⎛ g⋅ μk ⋅ ρ⋅ A
1
⎞ − π ⋅ i⎞
⋅ t + atanh⎛
⎜
M
2 ⎟
ρ⋅ A
⎜
⋅V
⎜
⎜
⎝
⎝ g⋅ μk ⋅ M ⎠
⎠

⋅ tanh⎜

1
tanh( x )
g ⋅ μk ⋅ M

to obtain

ρ⋅ A

U( t) = V −

⎛ g⋅ μk ⋅ M 1 ⎞ ⎞
⎛ g⋅ μk ⋅ ρ⋅ A
⋅ t + atanh⎜
⋅
M
⎝
⎝ ρ⋅ A V ⎠ ⎠

tanh⎜

g ⋅ μk ⋅ M
2

a=

Note that

ρ⋅ ( V − U) ⋅ A
M

− g ⋅ μk

⎛ g ⋅ μk⋅ ρ⋅ A
⎛ g ⋅ μk⋅ M 1 ⎞ ⎞
⋅ t + atanh⎜
⋅
M
⎝
⎝ ρ⋅ A V ⎠ ⎠

tanh⎜
g ⋅ μk

a( t ) =

Hence

ρ⋅ A

V− U=

and

⎛ g⋅ μk ⋅ ρ⋅ A
⎛ g⋅ μk ⋅ M 1 ⎞ ⎞
⋅ t + atanh⎜
⋅
M
⎝
⎝ ρ⋅ A V ⎠ ⎠

2

− g ⋅ μk

tanh⎜
The plots are presented below

20

U (m/s)

15
10
5

0

0.5

1

1.5

2

2.5

3

2

2.5

3

t (s)

a (m/s2)

60

40

20

0

0.5

1

1.5

t (s)

Problem 1.24

Problem 4.133

Problem 4.144

[Difficulty: 3]

Problem 4.145

[Difficulty: 4]


CS (moves at
speed
instantaneous
speed U)



y
x

Given:

Water jet striking moving vane/cart assembly

Find:

Angle θ at t = 5 s; Plot θ(t)

Solution:
Basic equation: Momentum flux in x direction for accelerating CV

Assumptions: 1) No changes in CV 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow 5) Constant jet relative
velocity
Then

(

)

(

)

−M ⋅ arfx = u 1 ⋅ −ρ⋅ V1 ⋅ A1 + u 2 ⋅ ρ⋅ V2 ⋅ A2 = −( V − U) ⋅ [ ρ⋅ ( V − U) ⋅ A] + ( V − U) ⋅ cos( θ) ⋅ [ ρ⋅ ( V − U) ⋅ A]
2

Since

−M ⋅ arfx = ρ( V − U) ⋅ A⋅ ( cos( θ) − 1 )

or

arfx = constant

U = arfx⋅ t

⎡

θ = acos⎢1 −

⎢
⎣

then

M ⋅ arfx

cos( θ) = 1 −
cos( θ) = 1 −

2

ρ⋅ ( V − U) ⋅ A
M ⋅ arfx

(

)

2

ρ⋅ V − arfx⋅ t ⋅ A

⎤
⎥
2
ρ⋅ ( V − arfx⋅ t) ⋅ A⎥
⎦
M ⋅ arfx

Using given data

⎡⎢
⎢
⎢
⎢⎣

θ = acos 1 − 55⋅ kg × 1.5⋅

m
2

3

×

s

m

1000⋅ kg

1

×

⎛ 15⋅ m − 1.5⋅ m × 5 ⋅ s⎞
⎜ s
2
s
⎝
⎠

2

×

⎥⎤
2⎥
0.025 ⋅ m ⎥
⎥⎦
1

20

Angle
Speed

135

15

90

10

45

5

0

at t = 5 s

0

2.5

5

7.5

Time t (s)
The solution is only valid for θ up to 180 o (when t = 9.14 s). This graph can be plotted in Excel

0
10

Speed U (m/s)

Angle (deg)

180

θ = 19.7⋅ deg

Problem 4.146

[Difficulty: 3]

Given:

Vaned cart with negligible resistance

Find:

Initial jet speed; jet and cart speeds at 2.5 s and 5 s; what happens to V - U?

Solution:

Apply x momentum

Assumptions: 1) All changes wrt CV 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow 5) Constant jet area
Given data

ρ = 999 ⋅

kg

2

M = 5 ⋅ kg

3

A = 50⋅ mm

a = 2.5⋅

m
Then

2

Hence

a⋅ M = ρ⋅ ( V − U) ⋅ ( 1 − cos( θ) ) ⋅ A

Solving for V

V( t) = a⋅ t +

Also, for constant acceleration

θ = 120 ⋅ deg

2

s

−a⋅ M = u 1 ⋅ [ −ρ⋅ ( V − U) ⋅ A] + u 1 ⋅ [ ρ⋅ ( V − U) ⋅ A]

Hence, evaluating

m

where

u1 = V − U

and

u 2 = ( V − U) ⋅ cos( θ)

From this equation we can see that for constant acceleration V and U must
increase at the same rate!

M⋅ a
ρ⋅ ( 1 − cos( θ) ) ⋅ A
V( 0 ) = 12.9

U( t) = a⋅ t

m
s

V( 2.5⋅ s) = 19.2

so

m
s

V( 5 ⋅ s) = 25.4

V− U=

m
s
M⋅ a

ρ⋅ ( 1 − cos( θ) ) ⋅ A

= const!

Problem 4.147

[Difficulty: 3] Part 1/2

Problem 4.147

[Difficulty: 3] Part 2/2

Problem 4.148

[Difficulty: 3]

Problem 4.149

[Difficulty: 3] Part 1/2

Problem 4.149

[Difficulty: 3] Part 2/2

Problem 4.130

Problem 4.150

[Difficulty: 3]

Problem 4.151

[Difficulty: 4]

Given:

Vaned cart being hit by jet

Find:

Jet speed to stop cart in 1s and 2 s; distance traveled

Solution:

Apply x momentum

Assumptions: 1) All changes wrt CV 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow 5) Constant jet area
Given data

ρ = 999 ⋅

kg

M = 5 ⋅ kg

3

D = 35⋅ mm

θ = 60⋅ deg

m
π

A =

4

2

2

⋅D

A = 962 ⋅ mm

Then

−arf ⋅ M = u 1 ⋅ [ −ρ⋅ ( V + U) ⋅ A] + u 2 ⋅ [ ρ⋅ ( V + U) ⋅ A]

where

arf =

Hence

or

−

dU

−

dU

dt

dt

dU

u 1 = −( V + U)

dt

2

2

2

⋅ M = ρ⋅ ( V + U) ⋅ A − ρ⋅ ( V + U) ⋅ A⋅ cos( θ) = ρ⋅ ( V + U) ⋅ A⋅ ( 1 − cos( θ) )

2

⋅ M = ρ⋅ ( V + U) ⋅ A⋅ ( 1 − cos( θ) )

(1)

−

Hence

U0

V⋅ V + U0

V= −

U0
2

)

+

=

1
V

ρ⋅ ( 1 − cos( θ) ) ⋅ A⋅ t
M

U0
4

2

+

d ( V + U)
( V + U)

Integrating from U0 at t = 0 to U = 0 at t

(

u 2 = −( V + U) ⋅ cos( θ)

and

Note that V is constant, so dU = d(V+U), separating variables

Solving for V

m
U0 = 5 ⋅
s

U0 ⋅ M
ρ⋅ A⋅ ( 1 − cos( θ) ) ⋅ t

or

−

2

=

1
V + U0

ρ⋅ ( 1 − cos( θ) ) ⋅ A
M

=

⋅ dt

ρ⋅ ( 1 − cos( θ) ) ⋅ A
M

M ⋅ U0
2
V + V⋅ U0 −
ρ⋅ ( 1 − cos( θ) ) ⋅ A⋅ t

⋅t

To find distances note that

dU
dt

so Eq. 1 can be rewritten as

Separating variables

−U⋅

=

dU
dU dx
⋅
= U⋅
dx
dx dt

dU

⋅ M = ρ⋅ ( V + U) ⋅ A⋅ ( 1 − cos( θ) )

dx

2

U⋅ dU
( V + U)

2

=−

ρ⋅ A⋅ ( 1 − cos( θ) )
M

⋅ dx

0

It can be shown that

⌠
V ⎞ V
V
U
⎮
dU = ln⎛⎜
+
−
⎮
2
⎝ V + U0 ⎠ V V + U0
⎮ ( V + U)
⌡U

(Remember that V is constant)

0

ln⎛⎜

V

⎞+1−

⎝ V + U0 ⎠

x=−

Solving for x

V
V + U0

M
ρ⋅ A⋅ ( 1 − cos( θ) )

⋅ ⎜⎛ ln⎛⎜

⎝

=−

ρ⋅ A⋅ ( 1 − cos( θ) )

V

M

⎞+1−

⎝ V + U0 ⎠

⋅x

V

⎞

V + U0
⎠

Substituting values:

To stop in

To stop in

t = 1⋅ s

V = −

and

x = −

U0
2

+

U0

2

+

4

U0 ⋅ M
ρ⋅ A⋅ ( 1 − cos( θ) ) ⋅ t
⋅ ⎛⎜ ln⎛⎜

⎞+1− V ⎞
ρ⋅ A⋅ ( 1 − cos( θ) )
V + U0
⎝ ⎝ V + U0 ⎠
⎠
M

t = 2⋅ s

V = −

and

x = −

U0
2

+

U0
4

2

+

V

U0 ⋅ M
ρ⋅ A⋅ ( 1 − cos( θ) ) ⋅ t

⎞+1− V ⎞
ρ⋅ A⋅ ( 1 − cos( θ) )
V + U0
⎝ ⎝ V + U0 ⎠
⎠
M

⋅ ⎛⎜ ln⎛⎜

V

V = 5.13

m
s

x = 1.94 m

V = 3.18

m
s

x = 3.47 m

Problem 4.132

Problem 4.152

[Difficulty: 3]

Problem 4.153

[Difficulty: 4]

Given:

Data on vane/slider

Find:

Formula for acceleration, speed, and position; plot

Solution:

Apply x momentum

Assumptions: 1) All changes wrt CV 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow 5) Constant jet area

The given data is

ρ  999 

kg

2

M  30 kg

3

A  0.005  m

m
Then

k U  M  arf  u 1 [ ρ ( V  U)  A ]  u 2 m2  u 3 m3

where

arf 

Hence

or

dU

u1  V  U

dt

k  U  M 

dU
dt

dU
dt

ρ ( V  U)  A
M

a

s

k  7.5

Ns
m

u3  0

2



k U
M

2

The acceleration is thus

m

 ρ ( V  U)  A
2



u2  0

V  20

ρ ( V  U)  A
M



k U
M

The differential equation for U can be solved analytically, but is quite messy. Instead we use a simple numerical method - Euler's
method

 ρ ( V  U( n) ) 2 A k U( n )
  ∆t
U( n  1 )  U( n )  

M
M 

For the position x

dx
dt

so

U

x ( n  1 )  x ( n )  U( n )  ∆t

The final set of equations is
U( n  1 )  U( n ) 

 ρ ( V  U( n) ) 2 A k U( n )

  ∆t

M 
M

2

a( n ) 

ρ ( V  U( n ) )  A
M



x ( n  1 )  x ( n )  U( n )  ∆t

k  U( n )
M

where Δt is the time step

The results can be plotted in Excel
Position x vs Time
45

x (m)

40
35
30
25
20

a (m/s 2)

0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2.0
2.1
2.2
2.3
2.4
2.5
2.6
2.7
2.8
2.9
3.0

0.0
0.0
0.7
1.6
2.7
3.9
5.2
6.6
7.9
9.3
10.8
12.2
13.7
15.2
16.6
18.1
19.6
21.1
22.6
24.1
25.7
27.2
28.7
30.2
31.7
33.2
34.8
36.3
37.8
39.3
40.8

0.0
6.7
9.5
11.1
12.1
12.9
13.4
13.8
14.1
14.3
14.5
14.6
14.7
14.8
14.9
15.0
15.0
15.1
15.1
15.1
15.1
15.1
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2

66.6
28.0
16.1
10.5
7.30
5.29
3.95
3.01
2.32
1.82
1.43
1.14
0.907
0.727
0.585
0.472
0.381
0.309
0.250
0.203
0.165
0.134
0.109
0.0889
0.0724
0.0590
0.0481
0.0392
0.0319
0.0260
0.0212

5
0
-5 0.0

0.5

1.0

1.5

2.0

2.5

3.0

2.5

3.0

t (s)

Velocity U vs Time
16
14

U (m/s)

U (m/s)

12
10
8
6
4
2
0
0.0

0.5

1.0

1.5

2.0

t (s)

70

Acceleration a vs Time

60
2

x (m)

a (m/s )

t (s)

15
10

50
40
30
20
10
0
0

1

1

2
t (s)

2

3

3

Problem 4.134

Problem 4.154

[Difficulty: 3]

Problem 4.136

Problem 4.155

[Difficulty: 3]

Problem 4.156

[Difficulty: 3]

Given:

Data on system

Find:

Jet speed to stop cart after 1 s; plot speed & position; maximum x; time to return to origin

Solution:

Apply x momentum

Assumptions: 1) All changes wrt CV 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow 5) Constant jet area

The given data is

kg

ρ = 999 ⋅

2

M = 100⋅ kg

3

A = 0.01⋅ m

m
Then

−arf ⋅ M = u 1⋅ [ −ρ⋅ ( V + U) ⋅ A ] + u 2⋅ m2 + u 3⋅ m3

where

arf =

Hence

−

dU
dt

dU

u 1 = −( V + U)

dt
2

⋅ M = ρ⋅ ( V + U) ⋅ A

or

dU
dt

u2 = u3 = 0

and
2

=−

ρ⋅ ( V + U) ⋅ A

d ( V + U)

which leads to

M

( V + U)
V + U0

U = −V +

Integrating and using the IC U = U0 at t = 0

m
U0 = 5⋅
s

1+

(

ρ⋅ A⋅ V + U0

2

= −⎛⎜

ρ⋅ A

⎝ M

⋅ dt⎞

⎠

) ⋅t

M
To find the jet speed V to stop the cart after 1 s, solve the above equation for V, with U = 0 and t = 1 s. (The equation becomes a
quadratic in V). Instead we use Excel's Goal Seek in the associated workbook
From Excel

V = 5⋅

m
s
dx

For the position x we need to integrate

dt

The result is

x = −V⋅ t +

⎡
ρ⋅ A ⎣
M

⋅ ln⎢1 +

V + U0

= U = −V +
1+

(

ρ⋅ A⋅ V + U0
M

)

(

ρ⋅ A⋅ V + U0
M

) ⋅t

⎤
⎦

⋅ t⎥

This equation (or the one for U with U = 0) can be easily used to find the maximum value of x by differentiating, as well as the time for x
to be zero again. Instead we use Excel's Goal Seek and Solver in the associated workbook
From Excel

x max = 1.93⋅ m

The complete set of equations is

t( x = 0 ) = 2.51⋅ s
V + U0
U = −V +
ρ⋅ A⋅ V + U0
1+
⋅t
M

(

)

x = −V⋅ t +

⎡
ρ⋅ A ⎣
M

⋅ ln⎢1 +

(

ρ⋅ A⋅ V + U0
M

)

⎤
⎦

⋅ t⎥

The plots are presented in the Excel workbook:
t (s)

x (m)

U (m/s)

0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
2.2
2.4
2.6
2.8
3.0

0.00
0.82
1.36
1.70
1.88
1.93
1.88
1.75
1.56
1.30
0.99
0.63
0.24
-0.19
-0.65
-1.14

5.00
3.33
2.14
1.25
0.56
0.00
-0.45
-0.83
-1.15
-1.43
-1.67
-1.88
-2.06
-2.22
-2.37
-2.50

To find V for U = 0 in 1 s, use Goal Seek
t (s)

U (m/s)

V (m/s)

1.0

0.00

5.00

To find the maximum x , use Solver
t (s)

x (m)

1.0

1.93

To find the time at which x = 0 use Goal Seek
t (s)

x (m)

2.51

0.00

Cart Position x vs Time
2.5
2.0

x (m)

1.5
1.0
0.5
0.0
-0.5

0.0

0.5

1.0

1.5

2.0

2.5

3.0

2.5

3.0

-1.0
-1.5

t (s)

Cart Speed U vs Time
6
5

U (m/s)

4
3
2
1
0
-1

0.0

0.5

1.0

1.5

-2
-3

t (s)

2.0

Problem 4.157

[Difficulty: 2]

Given:

Mass moving betweem two jets

Find:

Time st slow to 2.5 m/s; plot position; rest position; explain

Solution:

Apply x momentum

Assumptions: 1) All changes wrt CV 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow 5) Constant jet area
The given data is

kg

ρ = 999 ⋅

M = 5⋅ kg

3

V = 20⋅

m

m

m
U0 = 10⋅
s

s

Then

−arf ⋅ M = u 1⋅ [ −ρ⋅ ( V − U) ⋅ A ] + u 2⋅ [ −ρ⋅ ( V + U) ⋅ A ] + u 3⋅ m3

where

arf =
−

Hence

dU
dt

dU

u1 = V − U

dt

⋅ M = ρ⋅ A ⋅ ⎡⎣−( V − U) + ( V + U)
2

dU

Separating and integrating

U
Solving for t

For position x

t = −

=−

dx

⋅ ln⎛⎜

4 ⋅ ρ⋅ A⋅ V
M

⎞
4 ⋅ ρ⋅ V⋅ A
U0
⎝ ⎠
M

−

U

m

2

A = 100⋅ mm

s

u3 = 0

2⎤

⎦ = 4⋅ ρ⋅ A ⋅ V⋅ U

or

( )

ln( U) − ln U0 = −

4 ⋅ ρ⋅ A⋅ V
M

−

⋅t

4⋅ ρ ⋅ A ⋅ V

t = 0.867 s for

⋅t

M

U = U0 ⋅ e
U = 2.5

(1)

m
s

⋅t

M

= U = U0 ⋅ e
dt

x final =

⋅ dt

and

and using given data

4⋅ ρ ⋅ A ⋅ V

and a straightforward integration leads to

For large time

u 2 = −( V + U)

U = 2.5⋅

M ⋅ U0
4 ⋅ ρ⋅ V⋅ A

x ( t) =

M ⋅ U0
4 ⋅ ρ⋅ V⋅ A

⎛
−
⎜
⋅⎝1 − e

4⋅ ρ ⋅ V ⋅ A
M

⎞

⋅t

⎠

For

t = 0.867 s

x ( t) = 4.69 m

x final = 6.26 m

8

x (m)

6
4
2
0

1

2

t (s)

3

4

Problem *4.158

[Difficulty: 3]




Given:

Water jet striking moving disk

Find:

Acceleration of disk when at a height of 3 m

CS moving
at speed U

Solution:
Basic equations: Bernoulli; Momentum flux in z direction (treated as upwards) for linear accelerating CV
p
ρ

2

+

V

2

+ g ⋅ z = constant

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow

The Bernoulli equation becomes

V0

2

2

+ g⋅ 0 =

V1

2

2

(

+ g ⋅ z − z0

)

V1 =

2

⎛ 15⋅ m ⎞ + 2 × 9.81⋅ m ⋅ ( 0 − 3) ⋅ m
⎜
2
⎝ s⎠
s

V1 =

(All in jet)

(

2

V0 + 2 ⋅ g ⋅ z0 − z

)

m
V1 = 12.9
s

The momentum equation becomes

(

)

(

) (

)

(

)

−W − M ⋅ arfz = w1 ⋅ −ρ⋅ V1 ⋅ A1 + w2 ⋅ ρ⋅ V2 ⋅ A2 = V1 − U ⋅ ⎡−ρ⋅ V1 − U ⋅ A1⎤ + 0
⎣
⎦

Hence

arfz =

(

)2

ρ⋅ V1 − U ⋅ A1 − W

arfz = 1000⋅

M
kg
3

m

=

× ⎡⎢( 12.9 − 5 ) ⋅

⎣

(

)2

ρ⋅ V1 − U ⋅ A1
M
m⎤

2

V0
2
ρ⋅ V1 − U ⋅ A0 ⋅
V1

(

−g=

15

)

M
1

m

2
×
− 9.81⋅
× 0.005 ⋅ m ×
⎥
s⎦
2
12.9 30⋅ kg
s

−g

arfz = 2.28

using

m
2

s

V1 ⋅ A1 = V0 ⋅ A0

Problem 4.159

[Difficulty: 4]

M = 35 kg



CS moving
at speed U
D = 75 mm

Given:

Water jet striking disk

Find:

Plot mass versus flow rate to find flow rate for a steady height of 3 m

Solution:
Basic equations: Bernoulli; Momentum flux in z direction (treated as upwards)
p
ρ

2

V



2

 g  z  constant

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow
V0

The Bernoulli equation becomes

2

2

 g 0 

V1

(All in jet)

2

2

 g h

V1 





2

V0  2  g  h

The momentum equation becomes









M  g  w1  ρ V1  A1  w2  ρ V2  A2  V1  ρ V1  A1  0
2

M

Hence

M

ρ V1  A1

V1  A1  V0  A0

but from continuity

g
ρ V1  V0  A0
g

2

π ρ V0  D0
2
 
 V0  2  g  h
g
4

and also

Q  V0  A0

This equation is difficult to solve for V 0 for a given M. Instead we plot first:

M (kg)

150
100
50

0.02

0.04

0.06

0.08

Q (cubic meter/s)
3

Goal Seek or Solver in Excel feature can be used to find Q when M = 35 kg

Q  0.0469

m
s

Problem 4.160

[Difficulty: 3]

Problem 4.161

[Difficulty: 3]

Problem 4.142

Problem 4.162

[Difficulty: 3] Part 1/2

Problem 4.142 cont'd

Problem 4.162

Difficulty: [3] Part 2/2

Problem 4.163

[Difficulty: 4]

Given:

Rocket sled on track

Find:

Plot speed versus time; maximum speed; effect of reducing k

Solution:
Basic equation: Momentum flux in x direction

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure in jet 4) Uniform flow
Given data

M 0 = 5000⋅ kg

k = 50⋅

N⋅ s

m
Ve = 1750⋅
s

m

−FR − arf ⋅ M = u e⋅ mrate = −Ve⋅ mrate

The momentum equation becomes
From continuity

M = M 0 − mrate⋅ t

Hence, combining

dU
−k ⋅ U − M 0 − mrate⋅ t ⋅
= −Ve⋅ mrate
dt

Separating variables

Integrating

Simplifying

Solving for U

Using given data

(

)

dU
Ve⋅ mrate − k ⋅ U
1

=

(

dt
M 0 − mrate⋅ t

(( (

)

k

⎛ Ve⋅ mrate − k ⋅ U ⎞

⋅ ln⎜

⎝

Ve⋅ mrate

⎠

⎡
⎢
Ve⋅ mrate ⎢
U( t) =
⋅ ⎢1 −
k
⎣
U( 10⋅ s) = 175

m
s

1
k

and

FR = k ⋅ U

dU
dt

))) =

⋅ ln⎛⎜ 1 −

⎝

kg
mrate = 50⋅
s

=

Ve⋅ mrate − k ⋅ U
M 0 − mrate⋅ t

)

(

=

M fuel = 1000⋅ kg

or

⋅ ln Ve⋅ mrate − k ⋅ U − ln Ve⋅ mrate
k
1

(All in jet)

1
mrate

( (

)

( ))

⋅ ln M 0 − mrate⋅ t − ln M 0

⎞ = 1 ⋅ ln⎛ M0 − mrate⋅ t ⎞ = 1 ⋅ ln⎛ 1 − mrate⋅ t ⎞
⎜
⎜
M0
M0
Ve⋅ mrate
⎠ mrate ⎝
⎠ mrate ⎝
⎠
k⋅ U

k

mrate⋅ t ⎞
⎛
⎜1 − M
0 ⎠
⎝

⎤

mrate⎥

⎥
⎥
⎦

and fuel is used up when

tfuel =

M fuel
mrate

tfuel = 20 s

This is when the speed is maximum

With 10% reduction in k

The percent improvement is

(

)

Umax = U tfuel

k 2 = 0.9⋅ k

Umax2 − Umax
Umax

m
Umax = 350
s
k2 ⎤
⎡
⎢
⎥
mrate⎥
⎢
mrate⋅ tfuel ⎞
Ve⋅ mrate ⎢
⎛
⎥
Umax2 =
⋅ 1 − ⎜1 −
⎢
⎥
M0
k2
⎣ ⎝
⎠
⎦

= 1.08⋅ %

When the fuel runs out the momentum equation simplifies from

(

)

dU
−k ⋅ U − M 0 − mrate⋅ t ⋅
= −Ve⋅ mrate
dt
−

The solution to this (with U = Umax when t = tfuel)

m
Umax2 = 354
s

Uempty( t) = Umax⋅ e

(

k⋅ t− tfuel

to

−k ⋅ U −

dU
dt

)

M0− Mfuel

400

U (m/s)

300

200

100

0

0

20

40

t (s)

60

=0

Problem 4.164

[Difficulty: 3]

CS at speed U

y
x

Ve
Y
X

Given:

Data on rocket sled

Find:

Minimum fuel to get to 265 m/s

Solution:
Basic equation: Momentum flux in x direction
Assumptions: 1) No resistance 2) p e = p atm 3) Uniform flow 4) Use relative velocities

From continuity

dM
dt

Hence from momentum

= mrate = constant

−arfx⋅ M = −

M = M 0 − mrate⋅ t

so

dU
dt

(

)

(

(Note: Software cannot render a dot!)

)

⋅ M 0 − mrate⋅ t = u e⋅ ρe⋅ Ve⋅ Ae = −Ve⋅ mrate

Ve⋅ mrate

Separating variables

dU =

Integrating

M0
mrate⋅ t ⎞
⎞
⎛
⎛
U = Ve⋅ ln⎜
= −Ve⋅ ln⎜ 1 −
or
M0
⎝ M0 − mrate⋅ t ⎠
⎝
⎠

M 0 − mrate⋅ t

⋅ dt

⎛⎜
−
⎜
The mass of fuel consumed is mf = mrate⋅ t = M 0 ⋅ ⎝ 1 − e

Hence

⎛
−
⎜
mf = 900 ⋅ kg × ⎝ 1 − e

U
Ve

265

⎞

2750

⎠

⎛⎜
−
M0
⎜
t=
⋅⎝1 − e
mrate

⎞
⎠

mf = 82.7 kg

U
Ve

⎞
⎠

Problem 4.165

[Difficulty: 3]

CS at speed U

y
x

Ve
Y
X

Given:

Data on rocket weapon

Find:

Expression for speed of weapon; minimum fraction of mass that must be fuel

Solution:
Basic equation: Momentum flux in x direction

Assumptions: 1) No resistance 2) p e = p atm 3) Uniform flow 4) Use relative velocities 5) Constant mass flow rate
From continuity

dM
dt

= mrate = constant

M = M 0 − mrate⋅ t

so

(

)

(

(Note: Software cannot render a dot!)

)

dU
Hence from momentum −arfx⋅ M = −
⋅ M 0 − mrate⋅ t = u e⋅ ρe⋅ Ve⋅ Ae = −Ve⋅ mrate
dt
Separating variables

dU =

Ve⋅ mrate
M 0 − mrate⋅ t

⋅ dt

Integrating from U = U0 at t = 0 to U = U at t = t

( (

)

⎛

( )) = −Ve⋅ ln⎜ 1 −

U − U0 = −Ve⋅ ln M 0 − mrate⋅ t − ln M 0

⎛

U = U0 − Ve⋅ ln⎜ 1 −

⎝

Rearranging

mrate⋅ t ⎞

⎝

M0

⎠

mrate⋅ t ⎞
M0

MassFractionConsumed =

⎠

mrate⋅ t
M0

−

=1−e

( U−U0)
Ve

−

=1−e

( 3500− 600)
6000

= 0.383

Hence 38.3% of the mass must be fuel to accomplish the task. In reality, a much higher percentage would be needed due to drag
effects

Problem 4.166

[Difficulty: 3] Part 1/2

Problem 4.166

[Difficulty: 3] Part 2/2

Problem 4.147

Problem 4.167

[Difficulty: 3]

Problem 4.168

[Difficulty: 3] Part 1/2

Problem 4.168

[Difficulty: 3] Part 2/2

Problem 4.148

Problem 4.169

[Difficulty: 3]

Problem 4.170

[Difficulty: 3]

CS at speed V

y
x

Y
Ve

X

Given:

Data on rocket

Find:

Speed after 5 s; Maximum velocity; Plot of speed versus time

Solution:
Basic equation: Momentum flux in y direction

Assumptions: 1) No resistance 2) p e = p atm 3) Uniform flow 4) Use relative velocities 5) Constant mass flow rate
From continuity

dM
dt

Hence from momentum

Separating variables

= mrate = constant

M = M 0 − mrate⋅ t

so

(

)

−M ⋅ g − arfy⋅ M = u e⋅ ρe⋅ Ve⋅ Ae = −Ve⋅ mrate

dV =

or

(Note: Software cannot render a dot!)
arfy =

dV
dt

=

Ve⋅ mrate
M

−g=

Ve⋅ mrate
M 0 − mrate⋅ t

⎞
⎛ Ve⋅ mrate
⎜ M − m ⋅ t − g ⋅ dt
rate
⎝ 0
⎠

Integrating from V = at t = 0 to V = V at t = t

( (

)

⎛

( )) − g⋅ t = −Ve⋅ ln⎜ 1 −

V = −Ve⋅ ln M 0 − mrate⋅ t − ln M 0
At t = 5 s

⎝

mrate⋅ t ⎞
M0

⎠

⎛

V = −Ve⋅ ln⎜ 1 −

− g⋅ t

⎝

m
Vmax = −2500⋅ ⋅ ln⎛⎜ 1 − 10⋅
×
× 5 ⋅ s⎞ − 9.81⋅ × 5 ⋅ s
s ⎝
s
350 ⋅ kg
2
⎠
s
m

kg

mrate⋅ t ⎞

1

For the motion after 5 s, assuming the fuel is used up, the equation of motion becomes

M0

⎠

− g⋅ t

m

Vmax = 336
s
a = −M ⋅ g

500

V (m/s)

300
100
− 100 0

20

40

− 300
− 500

Time (s)

60

−g

Problem 4.151

Problem 4.171

[Difficulty: 3]

Problem 4.172

[Difficulty: 4]

y
x


CS (moves
at speed U)



Ry

Ff

Given:

Water jet striking moving vane

Find:

Plot of terminal speed versus turning angle; angle to overcome static friction

Solution:
Basic equations: Momentum flux in x and y directions

Assumptions: 1) Incompressible flow 2) Atmospheric pressure in jet 3) Uniform flow 4) Jet relative velocity is constant

(

)

(

)

−Ff − M ⋅ arfx = u 1 ⋅ −ρ⋅ V1 ⋅ A1 + u 2 ⋅ ρ⋅ V2 ⋅ A2 = −( V − U) ⋅ [ ρ⋅ ( V − U) ⋅ A] + ( V − U) ⋅ cos( θ) ⋅ [ ρ⋅ ( V − U) ⋅ A]

Then

2

arfx =

ρ( V − U) ⋅ A⋅ ( 1 − cos( θ) ) − Ff

(1)

M

(

)

Ry − M ⋅ g = v 1 ⋅ −ρ⋅ V1 ⋅ A1 + v 2 ⋅ ρ⋅ V2 ⋅ A2 = 0 + ( V − U) ⋅ sin( θ) ⋅ [ ρ⋅ ( V − U) ⋅ A]

Also

2

Ry = M ⋅ g + ρ( V − U) ⋅ A⋅ sin( θ)
At terminal speed arfx = 0 and Ff = µkRy. Hence in Eq 1

0=

or

ρ⋅ V − Ut ⋅ A⋅ ( 1 − cos( θ) ) − μk ⋅ ⎡M ⋅ g + ρ⋅ V − Ut ⋅ A⋅ sin( θ)⎤
⎣
⎦

(

)2

(

)2

M

V − Ut =

(

μk ⋅ M ⋅ g

ρ⋅ A⋅ 1 − cos( θ) − μk ⋅ sin( θ)

)

=

(

)2 (

ρ⋅ V − Ut ⋅ A⋅ 1 − cos( θ) − μk ⋅ sin( θ)

Ut = V −

M

(

μk ⋅ M ⋅ g

ρ⋅ A⋅ 1 − cos( θ) − μk ⋅ sin( θ)

The terminal speed as a function of angle is plotted below; it can be generated in Excel

)

)

− μk ⋅ g

Terminal Speed (m/s)

20
15
10
5

0

10

20

30

40

50

60

70

80

Angle (deg)

For the static case

Ff = μs⋅ Ry

and

arfx = 0

(the cart is about to move, but hasn't)

Substituting in Eq 1, with U = 0
2

0=

or

(

ρ⋅ V ⋅ A⋅ ⎡1 − cos( θ) − μs⋅ ρ⋅ V ⋅ A⋅ sin( θ) + M ⋅ g
⎣

cos( θ) + μs⋅ sin( θ) = 1 −

2

)

M
μs⋅ M ⋅ g
2

ρ⋅ V ⋅ A

We need to solve this for θ! This can be done by hand or by using Excel's Goal Seek or Solver
Note that we need θ = 19o, but once started we can throttle back to about θ = 12.5 o and still keep moving!

θ = 19.0⋅ deg

90

Problem 4.173

[Difficulty: 3]

Problem 4.174

[Difficulty: 3]

Problem 4.175

[Difficulty: 3]

Problem 4.176

[Difficulty: 4]

CS at speed V

y
x

Y
Ve

X

Given:

Data on rocket

Find:

Maximum speed and height; Plot of speed and distance versus time

Solution:
Basic equation: Momentum flux in y direction

Assumptions: 1) No resistance 2) p e = p atm 3) Uniform flow 4) Use relative velocities 5) Constant mass flow rate
From continuity

dM
dt

= mrate = constant

M = M 0 − mrate⋅ t

so

(

)

Hence from momentum

−M ⋅ g − arfy⋅ M = u e⋅ ρe⋅ Ve⋅ Ae = −Ve⋅ mrate

Hence

arfy =

Separating variables

dV =

dV
dt

=

Ve⋅ mrate
M

(Note: Software cannot render a dot!)

−g=

Ve⋅ mrate
M 0 − mrate⋅ t

−g

⎞
⎛ Ve⋅ mrate
⎜ M − m ⋅ t − g ⋅ dt
rate
⎝ 0
⎠

Integrating from V = at t = 0 to V = V at t = t

( (

)

⎛

( )) − g⋅ t = −Ve⋅ ln⎜ 1 −

V = −Ve⋅ ln M 0 − mrate⋅ t − ln M 0
mrate⋅ t ⎞
⎛
V = −Ve⋅ ln⎜ 1 −
− g⋅ t
M0
⎝
⎠

⎝

for

t ≤ tb

To evaluate at tb = 1.7 s, we need V e and mrate

mf
mrate =
tb

mrate =

Also note that the thrust Ft is due to
momentum flux from the rocket

Ft = mrate⋅ Ve

Ft
Ve =
mrate

Hence

⎛

Vmax = −Ve⋅ ln⎜ 1 −

⎝

mrate⋅ tb ⎞
M0

⎠

mrate⋅ t ⎞
M0

⎠

− g⋅ t

(burn time)

12.5⋅ gm
1.7⋅ s

(1)
− 3 kg

mrate = 7.35 × 10

Ve =

5.75⋅ N
7.35 × 10

− 3 kg

⋅

s
×

kg⋅ m
2

s ⋅N

m
Ve = 782
s

s

− g ⋅ tb

m
m
1
− 3 kg
Vmax = −782 ⋅ ⋅ ln⎜⎛ 1 − 7.35 × 10 ⋅
×
× 1.7⋅ s⎞ − 9.81⋅ × 1.7⋅ s
2
s ⎝
s
0.0696⋅ kg
⎠
s

m
Vmax = 138
s

To obtain Y(t) we set V = dY/dt in Eq 1, and integrate to find
Y=

Ve⋅ M 0
mrate

mrate⋅ t ⎞

⎡⎛

⋅ ⎢⎜ 1 −

⎣⎝

M0

⎠⎝ ⎝

m
Yb = 782 ⋅ × 0.0696⋅ kg ×
s

At t = tb

+−

1
2

× 9.81⋅

m
2

mrate⋅ t ⎞

⎛ ⎛

⋅ ⎜ ln⎜ 1 −

M0

s
7.35 × 10

× ( 1.7⋅ s)

−3

⋅ kg

⎠

⎞

⎤

1

⎠

⎦

2

− 1 + 1⎥ −

⋅ ⎡⎢⎛⎜ 1 −

⎣⎝

⋅ g⋅ t

2

t ≤ tb

tb = 1.7⋅ s

(2)

0.00735 ⋅ 1.7 ⎞ ⎛

.00735⋅ 1.7 ⎞
⎛
− 1⎞ + 1⎥⎤ ...
⎜ ln⎜ 1 − .0696
⎠⎝ ⎝
⎠ ⎠ ⎦

0.0696

2

s

Yb = 113 m
After burnout the rocket is in free assent. Ignoring drag

(

V( t) = Vmax − g ⋅ t − tb

)

(

(3)

)

(

)

1
2
Y( t) = Yb + Vmax⋅ t − tb − ⋅ g ⋅ t − tb
2

t > tb

The speed and position as functions of time are plotted below. These are obtained from Eqs 1 through 4, and can be plotted in
Excel
150

V (m/s)

100
50

0

5

10

15

20

− 50

Time (s)

Y (m)

1500

1000

500

0

5

10

15

20

Time (s)
Using Solver, or by differentiating y(t) and setting to zero, or by setting V(t) = 0, we find for the maximum y
t = 15.8 s

y max = 1085 m

(4)

Problem 4.177

[Difficulty: 3]

Given:

Data on "jet pack" rocket

Find:

Initial exhaust mass flow rate; mass flow rate at end; maximum time of flight

Solution:
Basic equation: Momentum flux in y direction
Assumptions: 1) Jet pack just hovers 2) Steady flow 3) Uniform flow 4) Use relative velocities
Given data

m
Ve = 3000⋅
s

M 0 = 200⋅ kg

mrateinit =

M 0 ⋅ g moon
Ve

−M ⋅ g moon = −v 1 ⋅ mrate = −Ve⋅ mrate

M f ⋅ g moon

mratefinal =

dM
dt

=

Ve

M ⋅ g moon

so

Ve

Integrating

Solving for t

t=−

g moon

M f = M 0 − M fuel

dM

= mrate
dt

dM
M

⎛ M0 ⎞ gmoon
ln⎜
=
⋅t
Ve
⎝M⎠
Ve

m

⋅ ln⎛⎜

⎞
M0
⎝ ⎠
M

mrate =

or

2

M ⋅ g moon
Ve

M f = 100 kg

kg
mratefinal = 0.0556
s

Flight ends as fuel is used up. To find this, from continuity

Hence

g moon = 1.67

kg
mrateinit = 0.111
s

Finally, when all the fuel is just used up, the mass is

Then

g moon = 0.17⋅ g

s

At all instants, the momentum becomes

Hence, initially

M fuel = 100⋅ kg

=

g moon
Ve
−

or

M = M0⋅ e

so when

M = Mf

mrate =

but

M ⋅ g moon
Ve

⋅ dt

gmoon

⋅t

Ve

tfinal = −

Ve
g moon

⎛ Mf ⎞

⋅ ln⎜

⎝

M0

⎠

tfinal = 20.8 min

Problem 4.178

[Difficulty: 5] Part 1/3

Problem 4.178

[Difficulty: 5] Part 2/3

Problem 4.178

[Difficulty: 5] Part 3/3

Problem 4.179

[Difficulty: 5] Part 1/2

Problem 4.179

[Difficulty: 5] Part 2/2

Problem 4.180

[Difficulty: 5]




Given:

Water jet striking moving disk

Find:

Motion of disk; steady state height

CS moving
at speed U

Solution:
Basic equations: Bernoulli; Momentum flux in z direction (treated as upwards) for linear accelerating CV
p
ρ

2

+

V

2

+ g ⋅ z = constant

Assumptions: 1) Steady flow 2) Incompressible flow 3) Atmospheric pressure 4) Uniform flow 5) velocities wrt CV
V0

The Bernoulli equation becomes

2

+ g⋅ 0 =

2

V1

2

+ g⋅ h

2
2

(

2

arfz =

d h

U=

and

2

dt

(1)

m
V1 = 12.9
s

(

) (

)

2

dh

−M ⋅ g − M ⋅

we get

dt

d h

(

2

= −ρ⋅ ⎛⎜ V1 −

⎝

dt
2

d h

V1 ⋅ A1 = V0 ⋅ A0

Using Eq 1, and from continuity

)

V0 − 2 ⋅ g ⋅ h

)

−M ⋅ g − M ⋅ arfz = w1 ⋅ −ρ⋅ V1 ⋅ A1 + w2 ⋅ ρ⋅ V2 ⋅ A2 = V1 − U ⋅ ⎡−ρ⋅ V1 − U ⋅ A1⎤ + 0
⎣
⎦

The momentum equation becomes

With

2

V1 =

⎛ 15⋅ m ⎞ + 2 × 9.81⋅ m ⋅ ( 0 − 3) ⋅ m
⎜ s
2
⎝
⎠
s

V1 =

(All in jet)

2

dt

=

dh ⎞
dt ⎠

2

⋅ A1

2
ρ⋅ A0 ⋅ V0
⎛ V 2 − 2 ⋅ g⋅ h − dh ⎞ ⋅
−g
⎜ 0
dt ⎠
⎝
2
M ⋅ V0 − 2 ⋅ g ⋅ h

(2)

This must be solved numerically! One approach is to use Euler's method (see the Excel solution)
dh

At equilibrium h = h 0

dt

2

d h

=0

2

=0

so

dt

⎛ V 2 − 2 ⋅ g⋅ h ⎞ ⋅ ρ⋅ A ⋅ V − M⋅ g = 0
0⎠
0 0
⎝ 0

Hence

⎡
⎢
⎛
h0 =
× ⎜ 15⋅
×
× 1−
2 ⎝
s⎠
9.81⋅ m ⎢
⎣
1

m⎞

2

2

s

and

h0 =

V0

2

2⋅ g

⎡

⋅ ⎢1 −

⎢
⎣

⎛⎜ M⋅ g ⎞
⎜ ρ⋅ V02⋅ A0
⎝
⎠

2
3
⎡
s ⎞
1 ⎥⎤
⎢30⋅ kg × 9.81⋅ m × m
× ⎛⎜
×
⎢
2
1000⋅ kg ⎝ 15⋅ m ⎠
2⎥
s
.005⋅ m ⎦
⎣

2⎤

2⎤

⎥
⎥
⎦

⎥
⎥ h 0 = 10.7 m
⎦

In Excel:
Ξt = 0.05 s
2
A 0 = 0.005 m
2

9.81 m/s
15 m/s
30 kg
Ξ = 1000 kg/m3
2

2

h (m)
2.000
2.000
2.061
2.167
2.310
2.481
2.673
2.883
3.107
3.340
3.582
3.829
4.080
4.333
4.587
4.840

dh/dt (m/s)
0.000
1.213
2.137
2.852
3.412
3.853
4.199
4.468
4.675
4.830
4.942
5.016
5.059
5.074
5.066
5.038

d h/dt (m/s )
24.263
18.468
14.311
11.206
8.811
6.917
5.391
4.140
3.100
2.227
1.486
0.854
0.309
-0.161
-0.570
-0.926

0.800
0.850
0.900
0.950
1.000
1.050
1.100
1.150
1.200
1.250
1.300
1.350
1.400
1.450
1.500
1.550
1.600
1.650
1.700
1.750
1.800
1.850
1.900
1.950
2.000
2.050
2.100
2.150
2.200
2.250
2.300
2.350
2.400
2.450

5.092
5.341
5.588
5.830
6.069
6.302
6.530
6.753
6.969
7.179
7.383
7.579
7.769
7.952
8.127
8.296
8.457
8.611
8.757
8.896
9.029
9.154
9.272
9.384
9.488
9.587
9.679
9.765
9.845
9.919
9.989
10.052
10.111
10.166

4.991
4.930
4.854
4.767
4.669
4.563
4.449
4.328
4.201
4.069
3.934
3.795
3.654
3.510
3.366
3.221
3.076
2.931
2.787
2.645
2.504
2.365
2.230
2.097
1.967
1.842
1.720
1.602
1.489
1.381
1.278
1.179
1.085
0.997

-1.236
-1.507
-1.744
-1.951
-2.130
-2.286
-2.420
-2.535
-2.631
-2.711
-2.776
-2.826
-2.864
-2.889
-2.902
-2.904
-2.896
-2.878
-2.850
-2.814
-2.769
-2.716
-2.655
-2.588
-2.514
-2.435
-2.350
-2.261
-2.167
-2.071
-1.972
-1.871
-1.769
-1.666

12

6

10

5

8

4
Position

6

3

Speed

4

2

2

1

0

0
0

1

2

3

4

Time t (s)

t (s)
2.950
3.000
3.050
3.100
3.150
3.200
3.250
3.300
3.350
3.400
3.450
3.500
3.550
3.600
3.650
3.700
3.750
3.800
3.850
3.900
3.950
4.000
4.050
4.100
4.150
4.200
4.250
4.300
4.350
4.400
4.450
4.500
4.550

h (m) dh/dt (m/s)
10.506
0.380
10.525
0.341
10.542
0.307
10.558
0.275
10.571
0.246
10.584
0.220
10.595
0.197
10.604
0.176
10.613
0.157
10.621
0.140
10.628
0.124
10.634
0.111
10.640
0.098
10.645
0.087
10.649
0.078
10.653
0.069
10.656
0.061
10.659
0.054
10.662
0.048
10.665
0.043
10.667
0.038
10.669
0.033
10.670
0.030
10.672
0.026
10.673
0.023
10.674
0.021
10.675
0.018
10.676
0.016
10.677
0.014
10.678
0.013
10.678
0.011
10.679
0.010
10.679
0.009

2

2

2

d h/dt (m/s )
-0.766
-0.698
-0.634
-0.574
-0.519
-0.469
-0.422
-0.380
-0.341
-0.306
-0.274
-0.245
-0.219
-0.195
-0.174
-0.155
-0.138
-0.123
-0.109
-0.097
-0.086
-0.077
-0.068
-0.060
-0.053
-0.047
-0.042
-0.037
-0.033
-0.029
-0.026
-0.023
-0.020

5

Speed (m/s)

2

t (s)
0.000
0.050
0.100
0.150
0.200
0.250
0.300
0.350
0.400
0.450
0.500
0.550
0.600
0.650
0.700
0.750

Position (m)

g=
V=
M=

Problem 4.181

[Difficulty: 5] Part 1/2

Problem 4.181

[Difficulty: 5] Part 2/2

Problem 4.182

[Difficulty: 5] Part 1/3

Problem 4.133

Problem 4.182

[Difficulty: 5] Part 2/3

Problem 4.182

[Difficulty: 5] Part 3/3

Problem 4.183

[Difficulty: 5] Part 1/2

4.184
4.184

4.184

Problem 4.183

[Difficulty: 5] Part 2/2

Problem 4.184

4.137

[Difficulty: 5] Part 1/4

Problem 4.184

[Difficulty: 5] Part 2/4

Problem 4.184

[Difficulty: 5] Part 3/4

Problem 4.184

[Difficulty: 5] Part 4/4

Problem 4.185

[Difficulty: 3] Part 1/2

Problem 4.185

[Difficulty: 3] Part 2/2

Problem *4.165

Problem 4.186

[Difficulty: 2]
Example 4.6

4.6

Problem 4.187

[Difficulty: 3]

Problem 4.188

[Difficulty: 3]

Given:

Data on rotating spray system

Find:

Torque required to hold stationary; steady-state speed

Solution:
Basic equation: Rotating CV

Assumptions: 1) No surface force; 2) Body torques cancel; 3) Sprinkler stationary; 4) Steady flow; 5) Uniform flow; 6) L< 50 mm

Wave Speed (m/s)

0.4

0.3

0.2

0.1

0

0

0.05
Wavelength (m)

0.1

N
m

Problem 8.1

Given:

Air entering duct

Find:

Flow rate for turbulence; Entrance length

Solution:
The basic equations are

The given data is

Re 

V D

π

2

Recrit  2300

Q

D  125 mm

From Table A.10

ν  2.29  10

Llaminar  0.06 Recrit D

or, for turbulent, Lturb = 25D to 40D

ν

Q
π
Hence

[Difficulty: 1]

Recrit 

4

4

D V

2
5 m



s

D
2

D

or
ν

Q 

Recrit π ν  D
4

For laminar flow

Llaminar  0.06 Recrit D

Llaminar  17.3 m

For turbulent flow

Lmin  25 D

Lmin  3.13 m

3
3m

Q  5.171  10

Lmax  40 D

s

Lmax  5.00 m

Problem 8.2

[Difficulty: 2]

Problem 8.3

[Difficulty: 3]

Given:

Air entering pipe system

Find:

Flow rate for turbulence in each section; Which become fully developed

Solution:
From Table A.10
The given data is

ν = 1.69 × 10

2
−5 m

⋅

L = 2⋅ m

s

D1 = 25⋅ mm

D2 = 15⋅ mm

D3 = 10⋅ mm

or

Q=

Recrit = 2300

The critical Reynolds number is

Writing the Reynolds number as a function of flow rate
Re =

V⋅ D
ν

=

Q
π
4

⋅

D

2 ν

⋅D

Re⋅ π⋅ ν⋅ D
4

Then the flow rates for turbulence to begin in each section of pipe are

Q1 =

Q2 =

Q3 =

Recrit⋅ π⋅ ν⋅ D1
Q1 = 7.63 × 10

4
Recrit⋅ π⋅ ν⋅ D2

Q2 = 4.58 × 10

4
Recrit⋅ π⋅ ν⋅ D3

Q3 = 3.05 × 10

4

3
−4m

s

3
−4m

s

3
−4m

s

Hence, smallest pipe becomes turbulent first, then second, then the largest.
For the smallest pipe transitioning to turbulence (Q3)
For pipe 3

Re3 = 2300

Llaminar = 0.06⋅ Re3 ⋅ D3

or, for turbulent,

Lmin = 25⋅ D3

Lmin = 0.25 m

For pipes 1 and 2

Llaminar = 0.06⋅ ⎜

⎛ 4⋅ Q3 ⎞
⎝

π⋅ ν⋅ D1

⎠

⋅ D1

Llaminar = 1.38 m

Lmax = 40⋅ D3

Lmax = 0.4 m

Llaminar = 1.38 m

Llaminar < L: Fully developed

Lmax/min < L: Fully developed

Llaminar < L: Fully developed

⎛ 4⋅ Q3 ⎞

Llaminar = 0.06⋅ ⎜

⎝

π⋅ ν⋅ D2

⎠

⋅ D2

Llaminar = 1.38 m

Llaminar < L: Fully developed

For the middle pipe transitioning to turbulence (Q2)
For pipe 2

Re2 = 2300

Llaminar = 0.06⋅ Re2 ⋅ D2

Llaminar = 2.07 m

or, for turbulent,

Lmin = 25⋅ D2

Lmin = 1.23⋅ ft

Lmax = 40⋅ D2

Llaminar > L: Not fully developed
Lmax = 0.6 m
Lmax/min < L: Fully developed

For pipes 1 and 3

⎛ 4 ⋅ Q2 ⎞

L1 = 0.06⋅ ⎜

⎝

π⋅ ν⋅ D1

L3min = 25⋅ D3

⎠

⋅ D1

L3min = 0.25⋅ m

L1 = 2.07⋅ m
L3max = 40⋅ D3

Llaminar > L: Not fully developed
L3max = 0.4 m
Lmax/min < L: Fully developed

For the large pipe transitioning to turbulence (Q1)
For pipe 1

Re1 = 2300

Llaminar = 0.06⋅ Re1 ⋅ D1

Llaminar = 3.45 m

or, for turbulent,

Lmin = 25⋅ D1

Lmin = 2.05⋅ ft

Lmax = 40⋅ D1

Llaminar > L: Not fully developed
Lmax = 1.00 m
Lmax/min < L: Fully developed

For pipes 2 and 3

L2min = 25⋅ D2

L2min = 1.23⋅ ft

L2max = 40⋅ D2

L2max = 0.6 m
Lmax/min < L: Fully developed

L3min = 25⋅ D3

L3min = 0.82⋅ ft

L3max = 40⋅ D3

L3max = 0.4 m
Lmax/min < L: Fully developed

Problem 8.4

[Difficulty: 2]

Given:

That transition to turbulence occurs at about Re = 2300

Find:

Plots of average velocity and volume and mass flow rates for turbulence for air and water

Solution:
The basic equations are

From Tables A.8 and A.10

For the average velocity

V⋅ D

Re =

Recrit = 2300

ν

kg
ρair = 1.23⋅
3
m
V=

νair = 1.45 × 10

⋅

s

Vair =

2
−5 m

⋅

2

s

Vair =

D

Hence for air

Vw =

⋅

π
4

2

⋅D ⋅V =

π

π
4

2

Vw =
Recrit⋅ ν
D

2
−5 m

Qair =
× 2300 × 1.45⋅ 10
4

⋅

s

=

π⋅ Recrit⋅ ν
4

m
s

D

⋅D

2

⋅D

2

For water

D
2

s

⋅D ⋅

s

0.00262 ⋅

D

Q = A⋅ V =

m

0.0334⋅

2
−6 m

For the volume flow rates

νw = 1.14 × 10

D

2300 × 1.14 × 10
For water

2
−6 m

kg
ρw = 999 ⋅
3
m

Recrit⋅ ν

2300 × 1.45 × 10
Hence for air

2
−5 m

π
−6 m
Qw =
× 2300 × 1.14⋅ 10 ⋅
⋅D
4
s

m

Qair = 0.0262⋅
×D
s
2

m
Qw = 0.00206 ⋅
×D
s

Finally, the mass flow rates are obtained from volume flow rates
mair = ρair⋅ Qair

kg
mair = 0.0322⋅
×D
m⋅ s

mw = ρw⋅ Qw

kg
mw = 2.06⋅
×D
m⋅ s

These results can be plotted in Excel as shown below in the next two pages

⋅

s

From Tables A.8 and A.10 the data required is
◊ air =

1.23

kg/m 3

2
◊ air = 1.45E-05 m /s

◊w =

999

kg/m

3

◊ w = 1.14E-06 m /s

2

0.0001

0.001

0.01

0.05

V air (m/s) 333.500

33.350

3.335

0.667

2.62

0.262

D (m)

V w (m/s)

26.2

1.0

2.5

5.0

7.5

10.0

3.34E-02 1.33E-02 6.67E-03 4.45E-03 3.34E-03

5.24E-02 2.62E-03 1.05E-03 5.24E-04 3.50E-04 2.62E-04

3

Q air (m /s) 2.62E-06 2.62E-05 2.62E-04 1.31E-03 2.62E-02 6.55E-02 1.31E-01 1.96E-01 2.62E-01
Q w (m 3/s) 2.06E-07 2.06E-06 2.06E-05 1.03E-04 2.06E-03 5.15E-03 1.03E-02 1.54E-02 2.06E-02
m air (kg/s) 3.22E-06 3.22E-05 3.22E-04 1.61E-03 3.22E-02 8.05E-02 1.61E-01 2.42E-01 3.22E-01
m w (kg/s) 2.06E-04 2.06E-03 2.06E-02 1.03E-01 2.06E+00 5.14E+00 1.03E+01 1.54E+01 2.06E+01

Average Velocity for Turbulence in a Pipe
1.E+04

V (m/s)

1.E+02
Velocity (Air)
Velocity (Water)
1.E+00

1.E-02

1.E-04
1.E-04

1.E-03

1.E-02

1.E-01
D (m )

1.E+00

1.E+01

Flow Rate for Turbulence in a Pipe

Q (m3/s)

1.E+01

1.E-01
Flow Rate (Air)
Flow Rate (Water)
1.E-03

1.E-05

1.E-07
1 .E-04

1.E-03

1.E-02

1.E-01

1.E+00

1.E+01

D (m)

Mass Flow Rate for Turbulence in a Pipe

m flow (kg/s)

1.E+02

1.E+00
Mas s Flow Rate (Air)
Mas s Flow Rate (Water)
1.E-02

1.E-04

1.E-06
1.E-04

1.E-03

1.E-02

1.E-01
D (m)

1.E+00

1.E+01

Problem 8.5

[Difficulty: 4] Part 1/2

Problem 8.5

[Difficulty: 4] Part 2/2

Problem 8.6

[Difficulty: 2]

Problem 8.7

[Difficulty: 2]

Problem 8.8

[Difficulty: 3]

Problem 8.9

[Difficulty: 3]

D

p1
F

a

L

Given:

Piston cylinder assembly

Find:

Rate of oil leak

Solution:
Q

Basic equation

l

3

3

=

a ⋅ ∆p

Q=

12⋅ μ⋅ L

π⋅ D⋅ a ⋅ ∆p

(from Eq. 8.6c; we assume laminar flow and verify
this is correct after solving)

12⋅ μ⋅ L

F
4⋅ F
∆p = p 1 − p atm =
=
A
2
π⋅ D

For the system

4

∆p =

× 4500⋅ lbf ×

π

⎛ 1 × 12⋅ in ⎞
⎜ 4⋅ in 1⋅ ft
⎝
⎠

2

μ = 0.06 × 0.0209⋅

At 120 oF (about 50oC), from Fig. A.2

∆p = 358 ⋅ psi
lbf ⋅ s
ft

Q =

π
12

× 4 ⋅ in × ⎜⎛ 0.001 ⋅ in ×

Check Re:

⎝

V=

Re =

Q
A

μ = 1.25 × 10

2

− 3 lbf ⋅ s

⋅

ft

2

2
2
3
3
ft
1
− 5 ft
⎞ × 358 ⋅ lbf × 144 ⋅ in ×
× Q = 1.25 × 10 ⋅
12⋅ in ⎠
2
−3
2 ⋅ in
s
2
1 ⋅ ft
1.25 × 10
lbf ⋅ s
in

1 ⋅ ft

=

Q
a ⋅ π⋅ D

V⋅ a

1
π

× 1.25 × 10

ν = 6 × 10

ν

Re = 0.143 ⋅

V =

ft
s

× 0.001 ⋅ in ×

1 ⋅ ft
12⋅ in

−5

×

− 5 ft

3

s

× 10.8

ft

×

1
.001⋅ in

×

1
4 ⋅ in

2

×

⎛ 12⋅ in ⎞
⎜ 1⋅ ft
⎝
⎠

− 4 ft

ν = 6.48 × 10

s

s
−4

6.48 × 10

ft

2

⋅

Re = 0.0184

3

Q = 0.0216⋅

2

V = 0.143 ⋅

Q

⎛ π⋅ D2 ⎞
⎜
⎝ 4 ⎠

3

4
− 5 ft
×
Vp =
× 1.25 × 10
π
s

12⋅ in ⎞
⎛ 1
⎜ 4 ⋅ in × 1 ⋅ ft
⎝
⎠

s

ft
s

2

(at 120 oF, from Fig. A.3)

s
so flow is very much laminar

The speed of the piston is approximately
Vp =

in

2

The piston motion is negligible so our assumption of flow between parallel plates is reasonable

− 4 ft

Vp = 1.432 × 10

⋅

s

Problem 8.10

[Difficulty: 2]

Problem 8.11

[Difficulty: 2]

y

2h

Given:

Laminar flow between flat plates

Find:

Shear stress on upper plate; Volume flow rate per width

Solution:
du
τyx = μ⋅
dy

Then

τyx =

At the upper surface

y=h

The volume flow rate is

⌠
h
2
⌠
⌠
h ⋅ b dp ⎮
Q = ⎮ u dA = ⎮ u ⋅ b dy = −
⋅ ⋅⎮
⌡
2⋅ μ dx ⎮
⌡
−h
⌡

−h
2

2

⋅

u(y) = −

dp
dx

h

2

Basic equation

⋅

⎡

dp

2⋅ μ dx

⋅ ⎢1 −

⎣

b

=−

2
⎛ y ⎞ ⎥⎤
⎜h
⎝ ⎠⎦

(from Eq. 8.7)

2⋅ y ⎞
dp
⎜ 2 = −y⋅ dx
⎝ h ⎠

⋅⎛−

1⋅ m
3 N
τyx = −1.5⋅ mm ×
× 1.25 × 10 ⋅
1000⋅ mm
2
m ⋅m
h

−h

Q

x

2
3

× ⎛⎜ 1.5⋅ mm ×

⎝

1⋅ m

3

⎡
⎢1 −
⎣

2
⎛ y ⎞ ⎥⎤ dy
⎜h
⎝ ⎠⎦

τyx = −1.88Pa

3

Q= −

2

⎞ × 1.25 × 103⋅ N × m
1000⋅ mm ⎠
0.5⋅ N⋅ s
2
m ⋅m

Q
b

2⋅ h ⋅ b dp
⋅
3⋅ μ dx

= −5.63 × 10

2
−6 m

s

Problem 8.12

Given:

Piston-cylinder assembly

Find:

Mass supported by piston

[Difficulty: 3]

Solution:
Basic equation

Q
l

Available data

3



a  ∆p

This is the equation for pressure-driven flow between parallel plates; for a small gap a,
the flow between the piston and cylinder can be modeled this way, with l = πD

12 μ L

L  4  inD  4  in

a  0.001  in

From Fig. A.2, SAE10 oil at 20oF is

Q  0.1 gpm
μ  0.1

N s

68 °F  20 °C
 3 lbf  s

μ  2.089  10

or

2



m
Hence, solving for ∆p

∆p 

12 μ L Q
π D a

2

Note the following

M 

π D
4



2

4

∆p  2.133  10  psi

3

F  ∆p A  ∆p

A force balance for the piston involves the net pressure force

Hence

ft

∆p

π
4

Q
Vave 
a  π D

ft
Vave  2.55
s

Hence an estimate of the Reynolds number in the gap is

W  M g

and the weight
5

M  8331 slug

g

2

D

M  2.68  10  lb

ν  10

Re 

2
4 m



s

a Vave
ν

ν  1.076  10

 3 ft



2

s

Re  0.198

This is a highly viscous flow; it can be shown that the force on the piston due to this motion is much less than that due to ∆p!
Note also that the piston speed is

Vpiston 

Vpiston
Vave

4 Q
2

π D

 0.1 %

ft
Vpiston  0.00255 
s
so the approximation of stationary walls is valid

Problem 8.13

[Difficulty: 3]

Problem 8.14

[Difficulty: 3]

Problem 8.15

[Difficulty: 3]

Given:

Hydrostatic bearing

Find:

Required pad width; Pressure gradient; Gap height

Solution:
Basic equation

Q
l

Available data



h

3

12 μ

 

dp 

 dx 

F  1000 lbf

l  1  ft

p i  35 psi

212 °F  100 °C

At 100 oC from Fig. A.2, for SAE 10-30

(F is the load on width l)

μ  0.01

Q  2.5

N s

gal

per ft

hr
 4 lbf  s

μ  2.089  10

2



m

ft

2

For a laminar flow (we will verify this assumption later), the pressure gradient is constant
2 x 
p ( x )  p i  1 
W


where p i = 35 psi is the inlet pressure (gage), and x = 0 to W/2

F  l   p dx


Hence the total force in the y direction due to pressure is

where b is the pad width into the paper

W

2
2 x 

dx
F  2 l 
p i  1 
W



F

1
2

 p i l W

0

W 

This must be equal to the applied load F. Hence
dp

The pressure gradient is then



dx

∆p
W



2  ∆p
W

 2 

2 F

pi l

35 lbf
2

W  0.397  ft


in

1
0.397  ft

 176 

psia
ft

2

Q

From the basic equation

l

Check Re:

From Fig. A.3

Re 

V D
ν

ν  1.2 10





h

3

12 μ

1

 

dp 

 dx 

Q 

 12 μ l
h  

dp

dx



we can solve for

3

h  2.51  10

3

 in

D Q
h Q
  
ν A
ν l h

2
5 m



s

 4 ft

ν  1.29  10



2

s

Re 

Q
ν l

Re  0.72
so flow is very laminar

Problem 8.16

[Difficulty: 3]

Problem 8.17

Given:

Navier-Stokes Equations

Find:

Derivation of Eq. 8.5

[Difficulty: 2]

Solution:
The Navier-Stokes equations are

4

3

∂u ∂v ∂w
+
+
=0
∂x ∂y ∂z
1

4

5

3

(5.1c)

6

4

3

⎛∂ u ∂ u ∂ u⎞
⎛ ∂u
∂u
∂u
∂u ⎞
∂p
+ µ ⎜⎜ 2 + 2 + 2 ⎟⎟
+u
+v
+ w ⎟⎟ = ρg x −
∂z ⎠
∂y
∂x
∂x
∂y
∂z ⎠
⎝ ∂t
⎝ ∂x
2

ρ ⎜⎜

1

4

5

3

2

4

2

5

(5.27a)

3

⎛ ∂ 2v ∂ 2v ∂ 2v ⎞
⎛ ∂v
∂p
∂v ⎞
∂v
∂v
ρ ⎜⎜ + u + v + w ⎟⎟ = ρg y − + µ ⎜⎜ 2 + 2 + 2 ⎟⎟
∂z ⎠
∂y
∂y
∂z ⎠
∂y
∂x
⎝ ∂t
⎝ ∂x
1

3

3

3

3

3

3

(5.27b)

3

3

⎛∂ w ∂ w ∂ w⎞
⎛ ∂w
∂p
∂w ⎞
∂w
∂w
+ µ ⎜⎜ 2 + 2 + 2 ⎟⎟
⎟⎟ = ρg z −
+w
+v
+u
∂z ⎠
∂y
∂z
∂z ⎠
∂y
∂x
⎝ ∂t
⎝ ∂x
2

ρ ⎜⎜

2

2

(5.27c)

The following assumptions have been applied:
(1) Steady flow (given).
(2) Incompressible flow; ρ = constant.
(3) No flow or variation of properties in the z direction; w= 0 and ∂/∂z = 0.
(4) Fully developed flow, so no properties except pressure p vary in the x direction; ∂/∂x = 0.
(5) See analysis below.
(6) No body force in the x direction; gx = 0
Assumption (1) eliminates time variations in any fluid property. Assumption (2) eliminates space variations in density. Assumption
(3) states that there is no z component of velocity and no property variations in the z direction. All terms in the z component of the
Navier–Stokes equation cancel. After assumption (4) is applied, the continuity equation reduces to ∂v/∂y = 0. Assumptions (3) and (4)
also indicate that ∂v/∂z = 0 and ∂v/∂x = 0. Therefore v must be constant. Since v is zero at the solid surface, then v must be zero
everywhere. The fact that v = 0 reduces the Navier–Stokes equations further, as indicated by (5). Hence for the y direction

∂p
= ρg
∂y
which indicates a hydrostatic variation of pressure. In the x direction, after assumption (6) we obtain

∂ 2u ∂p
µ 2 − =0
∂y
∂x

Integrating twice

u=

1 ∂p 2 c1
y + y + c2
µ
2 µ ∂x

To evaluate the constants, c1 and c2, we must apply the boundary conditions. At y = 0, u = 0. Consequently, c2 = 0. At y = a, u = 0.
Hence

0=

1 ∂p 2 c1
a + a
µ
2 µ ∂x

which gives

c1 = −

1 ∂p
a
2 µ ∂x

and finally

u=

2
a 2 ∂p ⎡⎛ y ⎞ ⎛ y ⎞⎤
⎢⎜ ⎟ − ⎜ ⎟ ⎥
2 µ ∂x ⎢⎣⎝ a ⎠ ⎝ a ⎠⎥⎦

Problem 8.18

[Difficulty: 4]

Problem 8.19

[Difficulty: 5]

Problem 8.20

[Difficulty: 2]

Problem 8.21

[Difficulty: 3]

Given:

Laminar velocity profile of power-law fluid flow between parallel plates

Find:

Expression for flow rate; from data determine the type of fluid

Solution:
⎡⎢
n
h ∆p ⎞
n⋅ h ⎢
u = ⎛⎜ ⋅
⋅
⋅ 1−
⎝ k L ⎠ n + 1 ⎢⎣

n+ 1⎤

1

The velocity profile is

⌠
Q = w⋅ ⎮
⌡

The flow rate is then

⎛y⎞
⎜h
⎝ ⎠

n

⎥
⎥
⎥⎦

h

h

or, because the flow is symmetric

u dy

−h

⌠
⎮
⎮
⎮ 1−
⎮
⌡

The integral is computed as

0

n+ 1

⎛y⎞
⎜h
⎝ ⎠

⌠
Q = 2 ⋅ w⋅ ⎮ u dy
⌡

n

2⋅ n+ 1⎤
⎡⎢
⎥
n
⎢
⎥
n
y
dy = y ⋅ ⎢1 −
⋅ ⎛⎜ ⎞
⎥⎦
⎣ 2⋅ n + 1 ⎝ h ⎠

1

2⋅ n+ 1⎤
⎡
n
⎢
⎥
h ∆p ⎞
n⋅ h
n
n
Q = 2 ⋅ w⋅ ⎛⎜ ⋅
⋅
⋅ h ⋅ ⎢1 −
⋅ ( 1)
⎥
⎝ k L ⎠ n + 1 ⎣ 2⋅ n + 1
⎦

Using this with the limits

An Excel spreadsheet can be used for computation of n.

The data is
dp (kPa)
Q (L/min)

10
0.451

20
0.759

30
1.01

40
1.15

50
1.41

60
1.57

70
1.66

80
1.85

90
2.05

1
n

This must be fitted to

Q=

1
2

⎛ h ⋅ ∆p ⎞ ⋅ 2 ⋅ n⋅ w⋅ h or
⎜ L
⎝k
⎠ 2⋅ n + 1

Q = k ⋅ ∆p

n

100
2.25

1
n

Q=

2

⎛ h ⋅ ∆p ⎞ ⋅ 2 ⋅ n⋅ w⋅ h
⎜k L
⎝
⎠ 2⋅ n + 1

We can fit a power curve to the data

Flow Rate vs Applied Pressure for a
Non-Newtonian Fluid
10.0

Q (L/min)

Data
Power Curve Fit

1.0

Q = 0.0974dp0.677
2
R = 0.997
0.1
10

Hence

dp (kPa)
1/n =

It's a dilatant fluid

0.677

n =

1.48

100

Problem 8.22

[Difficulty: 2]

Given:

Laminar flow between moving plates

Find:

Expression for velocity; Volume flow rate per depth

Solution:

Given data

ft
U1 = 5⋅
s

d = 0.2⋅ in

ft
U2 = 2⋅
s

Using the analysis of Section 8.2, the sum of forces in the x direction is

⎡ ∂ dy ⎛
⎛
dy ⎞⎤
dx
dx ⎞
⎢τ + τ ⋅ − ⎜ τ − ∂ τ ⋅ ⎥ ⋅ b ⋅ dx + ⎜ p − ∂ p ⋅ − p + ∂ p ⋅ ⋅ b ⋅ dy = 0
2 ⎠⎦
∂y
∂x 2
∂x 2 ⎠
⎣ ∂y 2 ⎝
⎝
Simplifying

dτ
dy

=

dp
dx

2

=0

μ⋅

or

d u
dy

Integrating twice

u = c1 ⋅ y + c2

Boundary conditions:

u ( 0 ) = −U1

c2 = −U1

(

)

2

=0

ft

c2 = −5

s

u ( y = d ) = U2

u in ft/s, y in ft

Hence

y
u ( y ) = U1 + U2 ⋅ − U1
d

u ( y ) = 420 ⋅ y − 5

The volume flow rate is

⌠
⌠
Q = ⎮ u dA = b ⋅ ⎮ u dy
⌡
⌡

⌠
Q = b⋅ ⎮
⎮
⌡

d

Q = b⋅ d⋅

(U2 − U1)

Q

2

b

= d⋅

(U2 − U1)
2
3

ft

Q
b

= 0.2⋅ in ×

1 ⋅ ft
12⋅ in

×

1
2

× ( 2 − 5) ×

ft

Q

s

b

= −.025⋅

s

ft

3

ft

Q
b

= −.025⋅

s

ft

×

7.48⋅ gal
1 ⋅ ft

3

×

60⋅ s

Q

1 ⋅ min

b

U1 + U2
d

= −11.2⋅

gpm
ft

−1

c1 = 420 s

U + U2 d 2
⎞
⎡ U + U ⋅ y − U ⎤ dx = b⋅ ⎛⎜ 1
⋅
−
U
⋅
d
⎢( 1
)
⎥
2 d
1
1
2
⎣
⎦
⎝ d
⎠

0

Hence

c1 =

Problem 8.23

[Difficulty: 2]

Problem 8.24

[Difficulty: 3]

Given:

Properties of two fluids flowing between parallel plates; applied pressure gradient

Find:

Velocity at the interface; maximum velocity; plot velocity distribution

Solution:
dp

Given data

=k

dx

k = −50⋅

kPa
m

h = 5 ⋅ mm

μ1 = 0.1⋅

N⋅ s

μ2 = 4 ⋅ μ1

2

μ2 = 0.4⋅

m

N⋅ s
2

m

(Lower fluid is fluid 1; upper is fluid 2)
Following the analysis of Section 8.2, analyse the forces on a differential CV of either fluid
The net force is zero for steady flow, so
dτ dy ⎞⎤
dp dx ⎞⎤
⎡ dτ dy ⎛
⎡ dp dx ⎛
⎢τ + dy ⋅ 2 − ⎜ τ − dy ⋅ 2 ⎥ ⋅ dx⋅ dz + ⎢p − dx ⋅ 2 − ⎜ p + dx ⋅ 2 ⎥ ⋅ dy⋅ dz = 0
⎣
⎝
⎠⎦
⎣
⎝
⎠⎦
dτ

Simplifying

dy

=

dp
dx

=k

μ⋅

so for each fluid

d

2

dy

2

u =k

Applying this to fluid 1 (lower fluid) and fluid 2 (upper fluid), integrating twice yields
u1 =

k

2

⋅ y + c1 ⋅ y + c2
2 ⋅ μ1

u2 =

k

2

2 ⋅ μ2

⋅ y + c3 ⋅ y + c4

For convenience the origin of coordinates is placed at the centerline
y = −h

We need four BCs. Three are obvious

u1 = 0

y=0

(1)

u 1 = u 2 (2)

y=h

u2 = 0

The fourth BC comes from the fact that the stress at the interface generated by each fluid is the same
du1
du2
μ1 ⋅
= μ2 ⋅
dy
dy

y=0

Using these four BCs

0=

k
2 ⋅ μ1

2

⋅ h − c1 ⋅ h + c2

c2 = c4

0=

k
2 ⋅ μ2

(4)

2

⋅ h + c3 ⋅ h + c4

μ1 ⋅ c1 = μ2 ⋅ c3

Hence, after some algebra
c1 =

k⋅ h
2 ⋅ μ1

⋅

(μ2 − μ1)
(μ2 + μ1)

c4 = −

k⋅ h

2

μ2 + μ1

c2 = c4

c3 =

k⋅ h
2 ⋅ μ2

⋅

(μ2 − μ1)
(μ2 + μ1)

(3)

c1 = −750

1

c2 = 2.5

s

m

c3 = −187.5

s

1

c4 = 2.5

s

m
s

The velocity distributions are then

u1( y) =

k
2 ⋅ μ1

⎡

2

⋅ ⎢y + y ⋅ h ⋅

⎣

(μ2 − μ1)⎤
⎥−
(μ2 + μ1)⎦

k⋅ h

2

u2( y) =

μ2 + μ1

k
2 ⋅ μ2

⎡

2

⋅ ⎢y + y ⋅ h ⋅

⎣

(μ2 − μ1)⎤
⎥−
(μ2 + μ1)⎦

k⋅ h

μ2 + μ1

Evaluating either velocity at y = 0, gives the velocity at the interface

u interface = −

k⋅ h

2

u interface = 2.5

μ2 + μ1

m
s

The plots of these velocity distributions can be done in Excel. Typical curves are shown below

5

y (mm)

2.5

0

0.5

1

1.5

2

2.5

3

3.5

− 2.5

−5

u (m/s)

Clearly, u 1 has the maximum velocity, when

(
(

h μ2 − μ1
y max = − ⋅
2 μ2 + μ1

)
)

du1
dy

=0

y max = −1.5 mm

(We could also have used Excel's Solver for this.)

2 ⋅ y max + h ⋅

or

(

)

u max = u 1 y max

u max = 3.06

(μ2 − μ1)
(μ2 + μ1)
m
s

=0

2

Problem 8.25

Given:

Laminar flow of two fluids between plates

Find:

Velocity at the interface

[Difficulty: 3]

Solution:
Using the analysis of Section 8.2, the sum of forces in the x direction is

⎛ ∂ dx
dx ⎞
⎡ ∂ dy ⎛ ∂ dy ⎞⎤
∂
⋅ b ⋅ dy = 0
⎢τ + τ ⋅ − ⎜ τ − τ ⋅ ⎥ ⋅ b ⋅ dx + ⎜ p − p ⋅ − p + p ⋅
∂x 2 ⎠
⎣ ∂y 2 ⎝ ∂y 2 ⎠⎦
⎝ ∂x 2
Simplifying

dτ
dy

=

dp
dx

2

=0

μ⋅

or

dy

y=0

u1 = 0

2

=0

u 1 = c1 ⋅ y + c2

Applying this to fluid 1 (lower fluid) and fluid 2 (upper fluid), integrating twice yields
We need four BCs. Three are obvious

d u

y = h u1 = u2

y = 2⋅ h

u 2 = c3 ⋅ y + c4

u2 = U

The fourth BC comes from the fact that the stress at the interface generated by each fluid is the same
y=h

du1
du2
μ1⋅
= μ2⋅
dy
dy

Using these four BCs

0 = c2

c1⋅ h + c2 = c3⋅ h + c4

Hence

c2 = 0

From the 2nd and 3rd equations

c1⋅ h − U = −c3⋅ h

Hence

μ1
c1⋅ h − U = −c3⋅ h = − ⋅ h ⋅ c1
μ2

and

Hence for fluid 1 (we do not need to complete the analysis for fluid 2)

20⋅
Evaluating this at y = h, where u 1 = u interface

u interface =

ft
s
1⎞

⎛1 +
⎜
3⎠
⎝

U = c3⋅ 2⋅ h + c4

μ1 ⋅ c1 = μ2 ⋅ c3
c1 =

U

⎛

μ1 ⎞

⎝

μ2
⎠

h⋅ ⎜ 1 +

u1 =

U

⎛
h ⋅⎜1 +
⎝

μ1 ⎞
μ2
⎠

u interface = 15⋅

ft
s

⋅y

μ1⋅ c1 = μ2⋅ c3

Problem 8.26

[Difficulty: 2]

Given:

Computer disk drive

Find:

Flow Reynolds number; Shear stress; Power required

Solution:
For a distance R from the center of a disk spinning at speed ω
V  R ω

The gap Reynolds number is

Re 

V  25 mm 

ρ V a

Re  22.3

m
s

1000 mm

 8500 rpm 

2 π rad
rev

1 min



ν  1.45  10

ν
6

 0.25  10



V  22.3

60 s

2
5 m

V a



μ

1 m

5

1.45  10

s

from Table A.10 at 15oC

s

s

m 

m

Re  0.384

2

m

The flow is definitely laminar
The shear stress is then

τ  μ

du
dy

 μ

τ  1.79  10

 5 N s

V

μ  1.79  10

a

 5 N s



2

m
The power required is

P  T ω
T  τ A R

P  τ A R ω

P  1600

N
2

m



from Table A.10 at 15oC

2

m
 22.3

m
s

1



0.25  10

6

τ  1.60 kPa
m

where torque T is given by

A  ( 5  mm)

with

 2.5  10

5

2

 m  25 mm 

2

A  2.5  10

1 m
1000 mm

5

 8500 rpm 

2

m

2  π rad
rev



1  min
60 s

P  0.890 W

Problem 8.27

[Difficulty: 2]

Given:

Velocity profile between parallel plates

Find:

Pressure gradients for zero stress at upper/lower plates; plot

Solution:

From Eq. 8.8, the velocity distribution is

The shear stress is

u=

U⋅ y
a

+

⎛ ∂ ⎞ ⎡⎢⎛ y ⎞ 2
−
p ⋅ ⎜
2 ⋅ μ ⎝ ∂x ⎠ ⎣⎝ a ⎠
a

2

⋅⎜

y⎤

⎥

a⎦

2

1
⎛∂ ⎞
y
τyx = μ⋅
− ⎞
= μ⋅ +
⋅ ⎜ p ⋅ ⎛ 2⋅
⎜
dy
a
2 ⎝ ∂x ⎠
a
2
a
du

U

a

⎝

(a) For τyx = 0 at y = a

The velocity distribution is then

(b) For τyx = 0 at y = 0

The velocity distribution is then

0 = μ⋅

u=

The velocity distributions can be plotted in Excel.

a

U⋅ y
a

0 = μ⋅

u=

U

U
a

U⋅ y
a

+

−

−

+

a ∂
⋅ p
2 ∂x

a

2

2⋅ μ

⋅

∂
∂x

2 ⋅ U⋅ μ
a

2

⎡ y 2
⎞ −
a
⎣⎝ ⎠

⋅ ⎢⎛⎜

y⎤

⎥
a⎦

a ∂
⋅ p
2 ∂x
a

2

2⋅ μ

⋅

⎠

u
U
∂
∂x

2 ⋅ U⋅ μ
a

2

⎡ y ⎞2
−
⎣⎝ a ⎠

⋅ ⎢⎛⎜

y⎤

⎥
a⎦

u
U

p =−

2 ⋅ U⋅ μ
a

= 2⋅

p =

y

−

a

⎛y⎞
⎜a
⎝ ⎠

2 ⋅ U⋅ μ
a

=

2

⎛y⎞
⎜a
⎝ ⎠

2

2

2

y /a
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0

(a) u /U
0.000
0.190
0.360
0.510
0.640
0.750
0.840
0.910
0.960
0.990
1.00

(b) u /U
0.000
0.010
0.040
0.090
0.160
0.250
0.360
0.490
0.640
0.810
1.000

Zero-Stress Velocity Distributions
1.00

Zero Stress Upper Plate
Zero Stress Lower Plate

y /a

0.75
0.50

0.25
0.00
0.00

0.25

0.50
u /U

0.75

1.00

Problem 8.28

[Difficulty: 2]

Problem 8.29

[Difficulty: 2]

Problem 8.30

[Difficulty: 3]

Given:

Data on flow of liquids down an incline

Find:

Velocity at interface; velocity at free surface; plot

Solution:
2

Given data

h = 10⋅ mm

θ = 60⋅ deg

ν1
ν2 =
5

m
ν1 = 0.01⋅
s

ν2 = 2 × 10

2
−3m

s

(The lower fluid is designated fluid 1, the upper fluid 2)
From Example 5.9 (or Exanple 8.3 with g replaced with gsinθ), a free body analysis leads to (for either fluid)
d

2

dy

2

u =−

ρ⋅ g ⋅ sin( θ)
μ

Applying this to fluid 1 (lower fluid) and fluid 2 (upper fluid), integrating twice yields
u1 = −

ρ⋅ g ⋅ sin( θ)
2 ⋅ μ1

2

⋅ y + c1 ⋅ y + c2

We need four BCs. Two are
obvious

u2 = −

ρ⋅ g ⋅ sin( θ)
2 ⋅ μ2

2

⋅ y + c3 ⋅ y + c4

y=0

u1 = 0

(1)

y=h

u1 = u2

(2)

The third BC comes from the fact that there is no shear stress at the free surface
y = 2⋅ h

du2
μ2 ⋅
=0
dy

(3)

The fourth BC comes from the fact that the stress at the interface generated by each fluid is the same
du1
du2
μ1 ⋅
= μ2 ⋅
dy
dy

y=h
Using these four BCs

c2 = 0
−

ρ⋅ g ⋅ sin( θ)
2 ⋅ μ1

2

⋅ h + c1 ⋅ h + c2 = −

−ρ⋅ g ⋅ sin( θ) ⋅ 2 ⋅ h + μ2 ⋅ c3 = 0

Hence, after some algebra

c1 =

2 ⋅ ρ⋅ g ⋅ sin( θ) ⋅ h
μ1

c2 = 0

ρ⋅ g ⋅ sin( θ)
2 ⋅ μ2

(4)

2

⋅ h + c3 ⋅ h + c4

−ρ⋅ g ⋅ sin( θ) ⋅ h + μ1 ⋅ c1 = −ρ⋅ g ⋅ sin( θ) ⋅ h + μ2 ⋅ c3

c3 =

2 ⋅ ρ⋅ g ⋅ sin( θ) ⋅ h
μ2

2

c4 = 3 ⋅ ρ⋅ g ⋅ sin( θ) ⋅ h ⋅

(μ2 − μ1)
2 ⋅ μ1 ⋅ μ2

The velocity distributions are then

u1 =

ρ⋅ g ⋅ sin( θ)
2 ⋅ μ1

(

⋅ 4⋅ y⋅ h − y

2

)

u2 =

⎡

ρ⋅ g ⋅ sin( θ)

2

⋅ ⎢3 ⋅ h ⋅

2 ⋅ μ2

(μ2 − μ1)
μ1

⎣

+ 4⋅ y⋅ h − y

2⎤

⎥
⎦

Rewriting in terms of ν1 and ν2 (ρ is constant and equal for both fluids)
u1 =

g ⋅ sin( θ)
2 ⋅ ν1

(

⋅ 4⋅ y⋅ h − y

)

2

u2 =

g ⋅ sin( θ)
2 ⋅ ν2

⎡

2

⋅ ⎢3 ⋅ h ⋅

(ν2 − ν1)

⎣

ν1

+ 4⋅ y⋅ h − y

2⎤

⎥
⎦

(Note that these result in the same expression if ν1 = ν2, i.e., if we have one fluid)
2

u interface =

Evaluating either velocity at y = h, gives the velocity at the interface

Evaluating u 2 at y = 2h gives the velocity at the free surface

2

3 ⋅ g ⋅ h ⋅ sin( θ)

u freesurface = g ⋅ h ⋅ sin( θ) ⋅
u freesurface⋅ h

Note that a Reynolds number based on the free surface velocity is

ν2

2 ⋅ ν1

(3⋅ ν2 + ν1)

= 1.70

2 ⋅ ν1 ⋅ ν2

u interface = 0.127

0.000
0.0166
0.0323
0.0472
0.061
0.074
0.087
0.098
0.109
0.119
0.127

u 2 (m/s)

indicating laminar flow

Velocity Distributions down an Incline
24
Lower Velocity
20

0.127
0.168
0.204
0.236
0.263
0.287
0.306
0.321
0.331
0.338
0.340

y (mm)

0.000
1.000
2.000
3.000
4.000
5.000
6.000
7.000
8.000
9.000
10.000
11.000
12.000
13.000
14.000
15.000
16.000
17.000
18.000
19.000
20.000

Upper Velocity
16
12
8
4
0
0.0

0.1

0.2
u (m/s)

0.3

s

u freesurface = 0.340

The velocity distributions can be plotted in Excel.
y (mm) u 1 (m/s)

m

0.4

m
s

Problem 8.31

[Difficulty: 2]

Given:

Velocity distribution on incline

Find:

Expression for shear stress; Maximum shear; volume flow rate/mm width; Reynolds number

Solution:
u(y) =

From Example 5.9

τ = μ⋅

For the shear stress
τ is a maximum at y = 0

ρ⋅ g ⋅ sin( θ)
μ
du
dy

⎛

y

⎝

2

⋅ ⎜ h⋅ y −

2⎞

⎠

= ρ⋅ g ⋅ sin( θ) ⋅ ( h − y )

τmax = ρ⋅ g ⋅ sin( θ) ⋅ h = SG ⋅ ρH2O⋅ g ⋅ sin( θ) ⋅ h
τmax = 1.2 × 1000

kg
3

× 9.81⋅

m

m
2

2

× sin( 15⋅ deg) × 0.007 ⋅ m ×

s

N⋅ s

τmax = 21.3 Pa

kg⋅ m

This stress is in the x direction on the wall
⌠
h
⎮
⌠
⌠
Q = ⎮ u dA = w⋅ ⎮ u ( y ) dy = w⋅ ⎮
⌡
⌡
⎮
0
⌡

The flow rate is

h

ρ⋅ g ⋅ sin( θ)
μ

2
⎛
y ⎞
dy
⋅ ⎜ h⋅ y −
2 ⎠
⎝

Q=

ρ⋅ g ⋅ sin( θ) ⋅ w⋅ h
3⋅ μ

0
3

m

Q
w

=

1
3

× 1.2 × 1000

kg
3

× 9.81⋅

m

m
2

2

m

3

× sin( 15⋅ deg) × ( 0.007 ⋅ m) ×

s

The gap Reynolds number is

V=

Re =

Q
A

=

Q

V = 217 ⋅

w⋅ h

−4

= 2.18 × 10

s

Q

m

w

= 217

mm

3

s

mm

×

1

V = 31.0⋅

7 ⋅ mm

mm

μ
kg
3

m

× 31⋅

mm
s

2

× 7 ⋅ mm ×

m

1.60⋅ N⋅ s

×

⎛ 1⋅ m ⎞
⎜
⎝ 1000⋅ mm ⎠

3

s

ρ⋅ V⋅ h

Re = 1.2 × 1000
The flow is definitely laminar

N⋅ s

1.60⋅ N⋅ s kg⋅ m

mm

The average velocity is

2

⋅

mm

2

Re = 0.163

s

3

Problem 8.32

[Difficulty: 3]

Given:

Flow between parallel plates

Find:

Shear stress on lower plate; Plot shear stress; Flow rate for pressure gradient; Pressure gradient for zero shear; Plot

Solution:
u(y) =

From Section 8-2

U⋅ y
a

+

⎡ y 2
⎞ −
2 ⋅ μ dx ⎣⎝ a ⎠
a

2

⋅

dp

⋅ ⎢⎛⎜

y⎤

⎥

a⎦

3

ft

a

u = U⋅

For dp/dx = 0

a
⌠
⌠
U⋅ a
y
= ⎮ u ( y ) dy = w⋅ ⎮ U⋅ dy =
⎮
⌡
2
l
a
0
⌡

y

Q

a

1

Q =

2

× 5⋅

ft

×

s

0.1
12

⋅ ft

Q = 0.0208⋅

s

ft

0

τ = μ⋅

For the shear stress

du
dy

=

μ⋅ U

− 7 lbf ⋅ s

μ = 3.79 × 10

when dp/dx =
0

a

⋅

ft

(Table A.9)

2

The shear stress is constant - no need to plot!
τ = 3.79 × 10

− 7 lbf ⋅ s

⋅

ft

2

× 5⋅

ft
s

×

12
0.1⋅ ft

×

⎛ 1⋅ ft ⎞
⎜ 12⋅ in
⎝
⎠

2

−6

τ = 1.58 × 10

Q will decrease if dp/dx > 0; it will increase if dp/dx < 0.

τ = μ⋅

For non- zero dp/dx:

du
dy

=

μ⋅ U
a

+ a⋅

τ( y = 0.25⋅ a) = μ⋅

At y = 0.25a, we get

U
a

dp
dx

⋅ ⎛⎜

+ a⋅

y

−

⎝a
dp
dx

⋅ ⎛⎜

1⎞
2⎠
1

⎝4

−

1⎞
2⎠

= μ⋅

U
a

−

a dp
⋅
4 dx
lbf

Hence this stress is zero when

dp
dx

=

4 ⋅ μ⋅ U
a

2

− 7 lbf ⋅ s

= 4 × 3.79 × 10

⋅

ft

2

× 5⋅

ft
s

×

2
2
⎛ 12 ⎞ = 0.109 ⋅ ft = 7.58 × 10− 4 psi
⎜ 0.1⋅ ft
ft
ft
⎝
⎠

0.1

y (in)

0.075
0.05
0.025

− 1× 10

−4

0

1× 10

−4

Shear Stress (lbf/ft3)

2× 10

−4

−4

3× 10

⋅ psi

Problem 8.33

[Difficulty: 3]

Given:

Flow between parallel plates

Find:

Location and magnitude of maximum velocity; Volume flow in 10 s; Plot velocity and shear stress

Solution:
From Section 8.2

For u max set du/dx = 0

Hence

From Fig. A.2 at

U⋅ y

u(y) =

du

b

=0=

dy

⎡ y 2
⎞ −
2 ⋅ μ dx ⎣⎝ b ⎠
b

+

U

u = u max

dp

⋅

y⎤

⋅ ⎢⎛⎜

⎥

b⎦

2

dp 2 ⋅ y
1
1 dp
U
⋅ ⋅⎛
− ⎞=
+
⋅ ⋅ (2⋅ y − b)
2 ⋅ μ dx ⎜ 2
a
2 ⋅ μ dx
b
⎝b
⎠
b

+

b

2

b

y=

at

59 °F = 15⋅ °C

2

μ = 4⋅

μ⋅ U

−

b⋅

dp
dx

N⋅ s

μ = 0.0835⋅

2

m

y =

Hence

0.1⋅ in
2

+ 0.0835⋅

ft
U⋅ y

u max =

lbf ⋅ s

b

u max = 2 ⋅

ft
s

2

× 2⋅

lbf ⋅ s
ft

ft
s

2

1

×

2

0.1⋅ in

×

in ⋅ ft

y = 0.0834⋅ in

50⋅ lbf

+

⎡ y 2
⎞ −
2 ⋅ μ dx ⎣⎝ b ⎠

×

2
2
2
50⋅ psi ⎛ 12⋅ in ⎞
ft
⎛ .0834 ⎞ + 1 × ⎛ 0.1 ⋅ ft⎞ ×
×
−
×
⎜ 0.1
⎜
⎜ 1 ⋅ ft ×
ft
.0835 ⋅ lbf ⋅ s
⎝
⎠ 2 ⎝ 12 ⎠
⎝
⎠

b

2

⋅

dp

⋅ ⎢⎛⎜

y⎤

⎥

y = 0.0834⋅ in

with

b⎦

2
⎡
⎤
⎢⎛⎜ .0834 ⎞ − ⎛⎜ .0834 ⎞⎥
⎣⎝ 0.1 ⎠ ⎝ 0.1 ⎠⎦

u max = 2.083 ⋅
b

⌠
=⎮
w ⌡0
Q

Q
w

=

1
2

⌠
⎮
u ( y ) dy = w⋅ ⎮
⎮
⌡

b

⎡ U⋅ y b 2 dp ⎡⎛ y ⎞ 2
⎢
+
⋅ ⋅ ⎢⎜
−
2 ⋅ μ dx ⎣⎝ b ⎠
⎣ b

× 2⋅

ft
s

×

0.1
12

⋅ ft −

1
12

3

×

= 0.0125

s

Q

ft

w

2

50⋅ psi ⎞ ⎛ 12⋅ in ⎞
ft
⎛ 0.1 ⎞
× ⎛⎜ −
×⎜
⎜ 12 ⋅ ft ×
ft ⎠ ⎝ 1 ⋅ ft ⎠
.0835 ⋅ lbf ⋅ s ⎝
⎝
⎠

ft

w

3

⎥⎥ dy = U⋅ b − b ⋅ dp
b⎦⎦
12⋅ μ dx
2

0

3

Q

y⎤⎤

= 5.61⋅

gpm
ft

2

ft
s

Flow =

Q
w

⋅ ∆t = 5.61⋅

The velocity profile is

gpm
ft

1 ⋅ min

×

60⋅ s

u
U

=

y
b

× 10⋅ s

+

Flow = 0.935 ⋅

⎡ y 2
⎞ −
2 ⋅ μ⋅ U dx ⎣⎝ b ⎠
b

2

⋅

dp

⋅ ⎢⎛⎜

y⎤

⎥

b⎦

gal
ft

τ = μ⋅

For the shear stress

du
dy

= μ⋅

U
b

+

b dp ⎡ ⎛ y ⎞
⋅ ⋅ ⎢2 ⋅ ⎜
− 1⎤⎥
2 dx ⎣ ⎝ b ⎠
⎦

The graphs below can be plotted in Excel

1

0.8

y/b

0.6

0.4

0.2

0

0.2

0.4

0.6

0.8

1

1.2

u/U

1

0.8

y/b

0.6

0.4

0.2

− 500

0

500

1× 10

3

Shear Stress (Pa)

3

1.5× 10

3

2× 10

2.5× 10

3

Problem 8.34

[Difficulty: 3]

Given:

Flow between parallel plates

Find:

Pressure gradient for no flow; plot velocity and stress distributions; also plot for u = U at y = a/2

Solution:
Basic equations

Available data

From Eq 2 for Q = 0

u(y) =

U⋅ y
a

U = 1.5⋅

dp
dx

=

+

m

⋅

dp

⋅ ⎢⎛⎜

y⎤

Q

⎥ (1)
a⎦

l

=

U⋅ a
2

−

a

3

dp
⋅
12⋅ μ dx

τ = μ⋅

(2)

U
a

μ = 1⋅

From Fig. A.2 for castor oil at 20oC

+ a⋅

dp
dx

N⋅ s
2

m

6 ⋅ μ⋅ U
a

2

a = 5 ⋅ mm

s

2

⎡ y 2
⎞ −
2 ⋅ μ dx ⎣⎝ a ⎠
a

= 6 × 1⋅

N⋅ s
2

× 1.5⋅

m

m
s

×

1

dp

( 0.005 ⋅ m)

dx

2

The graphs below, using Eqs. 1 and 3, can be plotted in Excel

1

y/a

0.75
0.5
0.25
− 0.5

0

0.5

1

1.5

u (m/s)
1

y/a

0.75
0.5
0.25
−1

− 0.5

0

0.5

1

Shear Stress (kPa)
The pressure gradient is adverse, to counteract the flow generated by the upper plate motion

1.5

= 360 ⋅

kPa
m

⋅ ⎜⎛

y

⎝a

−

1⎞
2⎠

(3)

u(y) =

For u = U at y = a/2 we need to adjust the pressure gradient. From Eq. 1
2
a⎤
⎢⎡⎛ a ⎞
⎥
2
2
a dp ⎢⎜ 2
2⎥
U=
⋅ ⋅ ⎜
−
+
a
2 ⋅ μ dx ⎢⎣⎝ a ⎠
a ⎥⎦

U⋅

Hence

U⋅ y
a

⎡ y 2
⎞ −
2 ⋅ μ dx ⎣⎝ a ⎠
a

+

2

⋅

dp

⋅ ⎢⎛⎜

y⎤

⎥

a⎦

a

dp

or

dx
dp
dx

=−

4 ⋅ U⋅ μ
a

2

= −240 ⋅

= −4 × 1 ⋅

N⋅ s
2

× 1.5⋅

m

m
s

kPa
m

1

y/a

0.75
0.5
0.25

0

0.5

1

1.5

2

u (m/s)

1

y/a

0.75

0.5

0.25

−1

− 0.5

0

0.5

1

Shear Stress (kPa)

The pressure gradient is positive to provide the "bulge" needed to satisfy the velocity requirement

1.5

×

1
( 0.005 ⋅ m)

2

Problem 8.35

[Difficulty: 3]

Given:

Flow between parallel plates

Find:

Shear stress on lower plate; pressure gradient for zero shear stress at y/a = 0.25; plot velocity and shear stress

Solution:
u(y) =

Basic equations

U⋅ y
a

q = 1.5⋅

Available data

+

⎡ y 2
⎞ −
2 ⋅ μ dx ⎣⎝ a ⎠
a

2

⋅

dp

gpm

⋅ ⎢⎛⎜

y⎤

⎥ (1)
a⎦

a = 0.05⋅ in

ft

From Fig. A.2, Carbon tetrachloride at 20oC

μ = 0.001 ⋅

Q

=

l

U⋅ a
2

a

−

3

⋅

dp

12⋅ μ dx

τ = μ⋅

(2)

U
a

+ a⋅

U=

From Eq. 3, when y = 0, with

U = 1.60

ft

N⋅ s

s

y

⎝a

−

1⎞
2⎠

(3)

− 5 lbf ⋅ s

μ = 2.089 × 10

2

2⋅ Q
or
a⋅ l

τyx =

dx

⋅ ⎛⎜

68°F = 20°C
⋅

m
From Eq. 2, for zero pressure gradient

dp

ft
U =

2⋅ q

U = 1.60⋅

a

μ⋅ U

ft
s
−5

τyx = 5.58 × 10

a

2

⋅ psi

A mild adverse pressure gradient would reduce the flow rate.

For zero shear stress at y/a = 0.25, from Eq. 3

0 = μ⋅

U
a

+ a⋅

dp
dx

⋅ ⎛⎜

1

⎝4

−

1⎞
2⎠

dp

or

dx

dp

2

dx

a

= 0.0536⋅

0.75

y/a

0.75

y/a

4 ⋅ μ⋅ U

1

1

0.5

0.5
0.25

0.25

− 0.5

=

0

0.5

1

1.5

2

u (ft/s)

Note that the location of zero shear is also where u is maximum!

− 1× 10

−4

0

−4

1× 10

Shear Stress (psi)

−4

2× 10

psi
ft

Problem 8.36

Using the result for average velocity from Example 8.3

[Difficulty: 3]

Problem 8.37

[Difficulty: 3]

Problem 8.38

[Difficulty: 5]

Problem 8.39

[Difficulty: 5]

Problem 8.40

[Difficulty: 2]

Given: Expression for efficiency
Find: Plot; find flow rate for maximum efficiency; explain curve

Solution:
η
0.0%
7.30%
14.1%
20.3%
25.7%
30.0%
32.7%
33.2%
30.0%
20.8%
0.0%

Efficiency of a Viscous Pump
35%
30%
25%
η

q
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0.50

20%
15%
10%
5%
0%
0.00

0.10

0.20

0.30

0.40

q

For the maximum efficiency point we can use Solver (or alternatively differentiate)
q
0.333

η
33.3%

The efficiency is zero at zero flow rate because there is no output at all
The efficiency is zero at maximum flow rate ∆p = 0 so there is no output
The efficiency must therefore peak somewhere between these extremes

0.50

Problem 8.41

Problem 2.66

[Difficulty: 5]

Problem 8.42

[Difficulty: 5] Part 1/2

Problem 8.42

[Difficulty: 5] Part 2/2

Problem 8.43

[Difficulty: 3]

Given:

Data on a journal bearing

Find:

Time for the bearing to slow to 100 rpm; visocity of new fluid

Solution:
The given data is

D = 35⋅ mm

L = 50⋅ mm

δ = 1 ⋅ mm

ωi = 500 ⋅ rpm

ωf = 100 ⋅ rpm

μ = 0.1⋅

2

I = 0.125 ⋅ kg⋅ m

N⋅ s
2

m

I⋅ α = Torque = −τ⋅ A⋅

The equation of motion for the slowing bearing is

D
2

where α is the angular acceleration and τ is the viscous stress, and A = π⋅ D⋅ L is the surface area of the bearing
τ = μ⋅

As in Example 8.2 the stress is given by

U
δ

=

μ⋅ D⋅ ω
2⋅ δ

where U and ω are the instantaneous linear and angular velocities.
Hence

Separating variables

μ⋅ D⋅ ω

I⋅ α = I⋅

dω

dω

μ⋅ π⋅ D ⋅ L

ω

=−

dt

2⋅ δ

⋅ π⋅ D⋅ L⋅

D
2

3

=−

μ⋅ π⋅ D ⋅ L
4⋅ δ

⋅ω

3

=−

4 ⋅ δ⋅ I

⋅ dt
3

−

Integrating and using IC ω = ω0

μ⋅ π⋅ D ⋅ L

ω( t) = ωi⋅ e

4⋅ δ ⋅ I

⋅t
3

−

The time to slow down to ω f

4 ⋅ δ⋅ I

t = −

3

μ⋅ π⋅ D ⋅ L
For the new fluid, the time to slow down is

t = 10⋅ min

Rearranging the equation

μ = −

4 ⋅ δ⋅ I
3

π ⋅ D ⋅ L⋅ t

4⋅ δ ⋅ I

ωf = ωi⋅ e

= 10 rpm is obtained from solving

so

μ⋅ π⋅ D ⋅ L

⎛ ωf ⎞

⋅ ln⎜

⎝ ωi ⎠

Hence

3

t = 1.19 × 10 s

⎛ ωf ⎞

⋅ ln⎜

⎝ ωi ⎠

μ = 0.199

kg
m⋅ s

⋅t

t = 19.9⋅ min

It is more viscous as it slows
down the rotation in a
shorter time

Problem 8.44

Given:

Navier-Stokes Equations

Find:

Derivation of Example 8.3 result

[Difficulty: 2]

Solution:
The Navier-Stokes equations are (using the coordinates of Example 8.3, so that x is vertical, y is horizontal)

4

3

∂u ∂v ∂w
+
+
=0
∂x ∂y ∂z
1

4

5

(5.1c)

3

4

3

⎛ ∂ 2u ∂ 2u ∂ 2u ⎞
⎛ ∂u
∂u
∂u
∂u ⎞
∂p
ρ ⎜⎜ + u + v + w ⎟⎟ = ρg x − + µ ⎜⎜ 2 + 2 + 2 ⎟⎟
∂x
∂y
∂z ⎠
∂x
∂y
∂z ⎠
⎝ ∂t
⎝ ∂x
1

4

5

3

4

6

5

(5.27a)

3

⎛∂ v ∂ v ∂ v⎞
⎛ ∂v
∂v
∂v
∂v ⎞
∂p
+ u + v + w ⎟⎟ = ρg y −
+ µ ⎜⎜ 2 + 2 + 2 ⎟⎟
∂x
∂y
∂z ⎠
∂y
∂z ⎠
∂y
⎝ ∂t
⎝ ∂x
2

ρ ⎜⎜

1

3

3

3

3

2

2

3

3

(5.27b)

3

3

⎛∂ w ∂ w ∂ w⎞
⎛ ∂w
∂p
∂w ⎞
∂w
∂w
+ µ ⎜⎜ 2 + 2 + 2 ⎟⎟
⎟⎟ = ρg z −
+w
+v
+u
∂z ⎠
∂y
∂z
∂z ⎠
∂y
∂x
⎝ ∂t
⎝ ∂x
2

ρ ⎜⎜

2

2

(5.27c)

The following assumptions have been applied:
(1) Steady flow (given).
(2) Incompressible flow; ρ = constant.
(3) No flow or variation of properties in the z direction; w= 0 and ∂/∂z = 0.
(4) Fully developed flow, so no properties except possibly pressure p vary in the x direction; ∂/∂x = 0.
(5) See analysis below.
(6) No body force in the y direction; gy = 0
Assumption (1) eliminates time variations in any fluid property. Assumption (2) eliminates space variations in density. Assumption
(3) states that there is no z component of velocity and no property variations in the z direction. All terms in the z component of the
Navier–Stokes equation cancel. After assumption (4) is applied, the continuity equation reduces to ∂v/∂y = 0. Assumptions (3) and (4)
also indicate that ∂v/∂z = 0 and ∂v/∂x = 0. Therefore v must be constant. Since v is zero at the solid surface, then v must be zero
everywhere. The fact that v = 0 reduces the Navier–Stokes equations further, as indicated by (5). Hence for the y direction

∂p
=0
∂y
which indicates the pressure is a constant across the layer. However, at the free surface p = patm = constant. Hence we conclude that p
= constant throughout the fluid, and so

∂p
=0
∂x
In the x direction, we obtain

µ

∂ 2u
+ ρg = 0
∂y 2

Integrating twice

u=−

c
1
ρgy 2 + 1 y + c2
2µ
µ

To evaluate the constants, c1 and c2, we must apply the boundary conditions. At y = 0, u = 0. Consequently, c2 = 0. At y = a, du/dy =
0 (we assume air friction is negligible). Hence

τ (y = δ ) = µ
which gives

du
dy

=−
y =δ

1

µ

ρgδ +

c1

µ

=0

c1 = ρgδ

and finally
2
1
ρg
ρg 2 ⎡ ⎛ y ⎞ 1 ⎛ y ⎞ ⎤
2
δ ⎢⎜ ⎟ − ⎜ ⎟ ⎥
ρgy +
u=−
y=
µ
µ ⎢⎣⎝ δ ⎠ 2 ⎝ δ ⎠ ⎥⎦
2µ

Problem 8.45

[Difficulty: 3]

Problem 8.46

Given:

Paint flow (Bingham fluid)

Find:

Maximum thickness of paint film before flow occur

[Difficulty: 3]

Solution:
Basic equations:

du
τyx = τy + μp ⋅
dy

Bingham fluid:

Use the analysis of Example 8.3, where we obtain a force balance between gravity and shear stresses:

dτyx
dy

The given data is

τy = 40⋅ Pa

ρ = 1000⋅

= −ρ⋅ g

kg
3

m
From the force balance equation, itegrating

Hence

Motion occurs when

τyx = −ρ⋅ g ⋅ ( δ − y )
τmax ≥ τy

Hence the maximum thickness is

or

τyx = −ρ⋅ g ⋅ y + c

and we have boundary condition

τyx( y = δ) = 0

τmax = ρ⋅ g ⋅ δ

and this is a maximum at the wall

ρ⋅ g ⋅ δ ≥ τy
δ =

τy
ρ⋅ g

δ = 4.08 × 10

−3

m

δ = 4.08 mm

Problem 8.47

[Difficulty: 4]

Given:

Equation for fluid motion in the x-direction.

Find:

Expression for peak pressure

Solution:

Begin with the steady-state Navier-Stokes equation – x-direction

Governing equation:
The Navier-Stokes equations are

4

3

∂u ∂v ∂w
+
+
=0
∂x ∂y ∂z
1

4

5

(5.1c)

3

4

3

⎛ ∂ 2u ∂ 2u ∂ 2u ⎞
⎛ ∂u
∂u
∂p
∂u ⎞
∂u
⎟
⎜
+
u
=
−
v
+
+
g
w
+
ρ⎜
ρ x
µ ⎜⎜ 2 + 2 + 2 ⎟⎟
∂y
∂x
∂x
∂z ⎟⎠
∂y
∂z ⎠
⎝ ∂t
⎝ ∂x
1

4

5

3

4

6

5

(5.27a)

3

⎛ ∂ 2v ∂ 2v ∂ 2v ⎞
⎛ ∂v
∂v ⎞
∂v
∂v
∂p
ρ ⎜⎜ + u + v + w ⎟⎟ = ρg y − + µ ⎜⎜ 2 + 2 + 2 ⎟⎟
∂z ⎠
∂z ⎠
∂y
∂y
∂x
∂y
⎝ ∂t
⎝ ∂x
1

3

3

3

3

3

3

(5.27b)

3

3

⎛∂ w ∂ w ∂ w⎞
⎛ ∂w
∂p
∂w ⎞
∂w
∂w
+w
+v
+u
+ µ ⎜⎜ 2 + 2 + 2 ⎟⎟
⎟⎟ = ρg z −
∂z ⎠
∂y
∂z
∂z ⎠
∂y
∂x
⎝ ∂t
⎝ ∂x

ρ ⎜⎜

2

2

2

(5.27c)

The following assumptions have been applied:
(1) Steady flow (given).
(2) Incompressible flow; ρ = constant.
(3) No flow or variation of properties in the z direction; w= 0 and ∂/∂z = 0.
(4) Fully developed flow, so no properties except possibly pressure p vary in the x direction; ∂/∂x = 0.
(5) See analysis below.
(6) No body force in the y direction; gy = 0
Assumption (1) eliminates time variations in any fluid property. Assumption (2) eliminates space variations in density. Assumption
(3) states that there is no z component of velocity and no property variations in the z direction. All terms in the z component of the
Navier–Stokes equation cancel. After assumption (4) is applied, the continuity equation reduces to ∂v/∂y = 0. Assumptions (3) and (4)
also indicate that ∂v/∂z = 0 and ∂v/∂x = 0. Therefore v must be constant (except of course in a more realistic model v ≠ 0 near the

transition. Since v is zero at the solid surface, then v must be zero everywhere. The fact that v = 0 reduces the Navier–Stokes
equations further, as indicated by (5). Hence for the y direction

∂p
=0
∂y
which indicates the pressure is a constant across the flow. Hence we conclude that p is a function at most of x.
In the x direction, we obtain

0=−

∂p
∂ 2u
+µ 2
∂x
∂y

(1)

Integrating this twice for the first region

u1 =

where

1 dp 2 c1
y + y + c2
µ
2 µ dx 1

dp
denotes the pressure gradient in region 1. Note that we change to regular derivative as p is a function of x only. Note that
dx 1

⎛ ∂p ⎞
⎟ and a function of y only
⎝ ∂x ⎠

Eq 1 implies that we have a function of x only ⎜

⎛ ∂ 2u ⎞
⎜⎜ 2 ⎟⎟ that must add up to be a constant (0); hence
⎝ ∂y ⎠

EACH is a constant! This means that

p
dp
= const = s
L1
dx 1
using the notation of the figure.
To evaluate the constants, c1 and c2, we must apply the boundary conditions. We do this separately for each region.
In the first region, at y = 0, u = U. Consequently, c2 = U. At y = h1, u = 0. Hence

0=

1 dp 2 c1
h1 + h1 + U
2 µ dx 1
µ

so

c1 = −

1 dp
µU
h1 −
2 dx 1
h1

Hence, combining results

u1 =

⎛ y ⎞
1 dp
y 2 − h1 y + U ⎜⎜ − 1⎟⎟
2 µ dx 1
⎝ h1 ⎠

(

)

Exactly the same reasoning applies to the second region, so

u2 =
where

1 dp
2 µ dx

(y
2

2

⎞
⎛ y
− h2 y + U ⎜⎜ − 1⎟⎟
⎝ h2 ⎠

)

p
dp
= const = − s
L2
dx 2
What connects these flow is the flow rate Q.

h1

h2

0

0

q = ∫ u1dy = ∫ u 2 dy = −

1 dp 3 Uh1
1 dp 3 Uh2
h2 −
h1 −
=−
12 µ dx 1
2
12µ dx 2
2

Hence

1 p s 3 Uh1
1 p s 3 Uh2
h1 +
h2 +
=−
12µ L1
2
12µ L2
2
Solving for ps,

p s ⎛ h13 h23 ⎞ Uh2 Uh1
⎜ + ⎟=
−
12 µ ⎜⎝ L1 L2 ⎟⎠
2
2
or

ps =

6 µU (h2 − h1 )
⎛ h13 h23 ⎞
⎜⎜ + ⎟⎟
⎝ L1 L2 ⎠

Problem 8.48

[Difficulty: 2]

Problem 8.49

[Difficulty: 2]

Problem 8.50

Given:

Data on water temperature and tube

Find:

Maximum laminar flow; plot

[Difficulty: 3]

B

Solution:

 5 Ns

A  2.414 10

From Appendix A



B  247.8  K

2

C  140  K

μ ( T)  A  10

in

T C

m
D  7.5 mm

ρ  1000

kg

Recrit  2300

3

m
T1  20 °C

 3 Ns

 

T1  253 K

μ T1  3.74  10

T2  120 °C

2

T2  393 K

 4 Ns

 

μ T2  2.3  10

m

2

m

The plot of viscosity is
0.01

μ

N s
2

m

1 10

3

1 10

4

 20

0

20

40

60

80

100

120

T (C)

For the flow rate

 

ρ Vcrit D

Recrit 

Qmax T1  5.07  10

μ

3.00
5m

s



ρ Qmax D
μ

π
4

 



4  ρ Qmax

2

D

μ π D

Qmax( T) 

π μ( T)  D Recrit
4 ρ

 

L

Qmax T1  182
hr

Qmax T2  3.12  10

3
6m

s

 

L
Qmax T2  11.2
hr

200

Q (L/hr)

150
100
50
 20

0

20

40

60

T (C)

80

100

120

Problem 8.51

[Difficulty: 2]

d

p1 D
F
L

Given:

Hyperdermic needle

Find:

Volume flow rate of saline

Solution:
π⋅ ∆p⋅ d

4

Basic equation

Q=

For the system

F
4⋅ F
∆p = p 1 − p atm =
=
A
2
π⋅ D
4

∆p =

At 68oF, from Table A.7

(Eq. 8.13c; we assume laminar flow and verify this is correct after solving)

128⋅ μ ⋅ L

π

× 7.5⋅ lbf ×

12⋅ in ⎞
⎛ 1
⎜ 0.375⋅ in × 1⋅ ft
⎝
⎠

∆p = 67.9⋅ psi

− 5 lbf ⋅ s

μH2O = 2.1 × 10

⋅

ft
Q =

π
128

× 67.9⋅

lbf
2

Q = 8.27 × 10

V=

Q
A

⋅

Q

=

144 ⋅ in

π⋅ d

2

⋅

1 ⋅ ft

2

4

2
1
12⋅ in
ft
⎞ ×
×
×
12⋅ in ⎠
1 ⋅ in
1 ⋅ ft
−4
1.05 × 10
lbf ⋅ s

1 ⋅ ft

× ⎛⎜ 0.005 ⋅ in ×

⎝

3

3
− 3 in

Q = 1.43 × 10

s
V =

μ = 1.05 × 10

ft
2

×

− 4 lbf ⋅ s

μ = 5⋅ μH2O

2

in
− 7 ft

Check Re:

2

4
π

× 8.27 × 10

− 7 ft

3

s

⋅

Q = 0.0857⋅

s

2

×

3

⎛ 1 ⎞ × ⎛ 12⋅ in ⎞
⎜ .005⋅ in
⎜
⎝
⎠ ⎝ 1⋅ ft ⎠

2

V = 6.07⋅

in

min

ft
s

4

Re =

ρ⋅ V⋅ d

ρ = 1.94⋅

μ

Re = 1.94⋅

slug
ft

slug
ft

3

× 6.07⋅

ft
s

(assuming saline is close to water)

3

× 0.005 ⋅ in ×

1 ⋅ ft
12⋅ in

×

ft

2

1.05 × 10

−4

×
⋅ lbf ⋅ s

slug⋅ ft
2

s ⋅ lbf

Re = 46.7
Flow is laminar

2

Problem 8.52

[Difficulty: 3]

Given:

Data on a tube

Find:

"Resistance" of tube; maximum flow rate and pressure difference for which electrical analogy holds for
(a) kerosine and (b) castor oil

Solution:
L = 250 ⋅ mm

The given data is

D = 7.5⋅ mm

From Fig. A.2 and Table A.2
Kerosene:

μ = 1.1 × 10

− 3 N⋅ s

⋅

ρ = 0.82 × 990 ⋅

2

m
Castor oil:

μ = 0.25⋅

3

= 812 ⋅

m

N⋅ s

ρ = 2.11 × 990 ⋅

2

m
For an electrical resistor

kg

kg
3

3

m
= 2090⋅

m

V = R⋅ I

kg

kg
3

m

(1)

The governing equation for the flow rate for laminar flow in a tube is Eq. 8.13c
4

Q=

or

π⋅ ∆p⋅ D

128 ⋅ μ⋅ L
128 ⋅ μ⋅ L

∆p =

4

⋅Q

(2)

π⋅ D

By analogy, current I is represented by flow rate Q, and voltage V by pressure drop Δp.
Comparing Eqs. (1) and (2), the "resistance" of the tube is
R=

128 ⋅ μ⋅ L
4

π⋅ D

The "resistance" of a tube is directly proportional to fluid viscosity and pipe length, and strongly dependent on the inverse
of diameter
The analogy is only valid for

Re < 2300
ρ⋅

Writing this constraint in terms of flow rate

Q
π
4

or

ρ⋅ V⋅ D
μ

< 2300

⋅D
2

⋅D
μ

< 2300

or

Qmax =

2300⋅ μ⋅ π⋅ D
4⋅ ρ

The corresponding maximum pressure gradient is then obtained from Eq. (2)

∆pmax =

128 ⋅ μ⋅ L
4

π⋅ D

2

⋅ Qmax =

32⋅ 2300⋅ μ ⋅ L
3

ρ⋅ D

Substituting values
(a) For kerosine

(b) For castor oil

3
−5m

Qmax = 1.84 × 10

s

3
−3m

Qmax = 1.62 × 10

s

l
Qmax = 1.10⋅
min

∆pmax = 65.0⋅ Pa

l
Qmax = 97.3⋅
min

∆pmax = 1.30⋅ MPa

The analogy fails when Re > 2300 because the flow becomes turbulent, and "resistance" to flow is then no longer linear with flow
rate

Problem 8.53

[Difficulty: 3]

Problem 8.54

[Difficulty: 3]

Problem 8.56

[Difficulty: 4] Part 1/2

Problem 8.56

[Difficulty: 4] Part 2/2

Problem 8.57

[Difficulty: 4]

Problem 8.52

8.56

Problem 8.58

Given:

Tube dimensions and volumetric flow rate

Find:

Pressure difference and hydraulic resistance

[Difficulty: 2]

Solution:
The flow rate of a fully developed pressure-driven flow in a pipe is Q =
flow rate

π∆pR 4
8µL

. Rearranging it, one obtains ∆p =

8µLQ
. For a
πR 4

Q = 10µl / min , L=1 cm, µ = 1.0 × 10 −3 Pa.s , and R = 1 mm,
∆p =

m
8 10 ×10 −9 m 3
0.01
×
×
×
× 4 ×1.0 ×10 −3 Pa.s = 0.00424 Pa
−12
s 1×10
m
60
π

Similarly, the required pressure drop for other values of R can be obtained.
The hydraulic resistance

Rhyd =

∆p 8µL
=
. Substituting the values of the viscosity, length and radius of the tube, one obtains the
Q πR 4

value of the hydraulic resistance.
R (mm)
1
10-1
10-2
10-3
10-4

∆p
0.00424 Pa
42.4 Pa
424 kPa
4.24 GPa
4.24 x 104 GPa

Rhyd (Pa.s/m3)
2.55 x 107
2.55 x 1011
2.55 x 1015
2.55 x 1019
2.55 x 1023

(3) To achieve a reasonable flow rate in microscale or nanoscale channel, a very high pressure difference is required since ∆p is
proportional to R−4. Therefore, the widely used pressure-driven flow in large scale systems is not appropriate in microscale or
nanoscale channel applications. Other means to manipulate fluids in microscale or nanoscale channel applications are required.

Problem 8.59
.

Given:

Definition of hydraulic resistance

Find:

Hydraulic resistance in a diffuser

Solution:
Basic equation:

Rhyd =

∆p 8µ z2 1
8µ z2
1
dz
dz
=
=
4
∫
∫
z
z
Q
π 1 r
π 1 (ri + αz ) 4

Rhyd =
=

8µ

π

=−

∆p
Q

∫

z

0

1
d (ri + αz )
(ri + αz ) 4

8µ 1
8µ
−3
(ri + αz ) −3 0z = −
[(ri + αz ) −3 − ri ]
πα 3
3πα

Rhyd = −

8µ ⎡
1
1⎤
−
⎢
⎥
3πα ⎣ (ri + αz ) 3 ri 3 ⎦

[Difficulty: 2]

Problem 8.60

[Difficulty: 4]

Given:

Relationship between shear stress and deformation rate; fully developed flow in a cylindrical blood vessel

Find:

Velocity profile; flow rate

Solution:
Similar to the Example Problem described in Section 8.3, based on the force balance, one obtains

τ rx =

r dp
2 dx

(1)

This result is valid for all types of fluids, since it is based on a simple force balance without any assumptions about fluid rheology.
Since the axial pressure gradient in a steady fully developed flow is a constant, Equation (1) shows that τ = 0 < τc at r = 0. Therefore,
there must be a small region near the center line of the blood vessel for which τ < τc. If we call Rc the radial location at which τ = τc,
the flow can then be divided into two regions:
r > Rc: The shear stress vs. shear rate is governed by

τ = τc + µ

du
dr

(2)

r < Rc: τ = 0 < τc.
We first determine the velocity profile in the region r > Rc. Substituting (1) into (2), one obtains:

r dp
du
= τc + µ
2 dx
dr

(3)

Using equation (3) and the fact that du/dr at r = Rc is zero, the critical shear stress can be written as

Rc dp
= τc .
2 dx

(4)

Rearranging eq. (4), Rc is

Rc = 2τ c /

dp
.
dx

Inserting (4) into (3), rearranging, and squaring both sides, one obtains

(5)

µ

du 1 dp
=
[r − 2 rRc + Rc ]
dr 2 dx

(6)

Integrating the above first-order differential equation using the non-slip boundary condition, u = 0 at r = R:

u=−

1 dp ⎡ 2
8
⎤
3/ 2
(R − r 2 ) −
Rc ( Rc − r 3 / 2 ) + 2 Rc ( R − r )⎥ for Rc ≤ r ≤ R
⎢
4µ dx ⎣
3
⎦

(7)

In the region r < Rc, since the shear stress is zero, fluid travels as a plug with a plug velocity. Since the plug velocity must match the
velocity at r = Rc, we set r = Rc in equation (7) to obtain the plug velocity:

u=−

[

]

1 dp 2
2
( R − Rc ) + 2 Rc ( R − Rc ) for r ≤ Rc
4µ dx

(8)

The flow rate is obtained by integrating u(r) across the vessel cross section:
R

Rc

R

Q = ∫ u (r )2πrdr = ∫ u (r )2πrdr + ∫ u (r )2πrdr
0

Rc

0

4
πR 4 dp ⎡ 16 Rc 4 Rc 1 ⎛ Rc ⎞ ⎤
=−
+
− ⎜ ⎟ ⎥
⎢1 −
8µ dx ⎣⎢ 7 R 3 R 21 ⎝ R ⎠ ⎦⎥

Given R = 1mm = 10-3 m, µ = 3.5 cP = 3.5×10-3 Pa⋅s, and τc = 0.05 dynes/cm2 = 0.05×10-1 Pa, and
From eq. (5), Rc = 2τ c /

(9)

dp
= −100 Pa / m .
dx

dp
dx
2 × 0.05 10 ×10 −6 N / m 2
Rc =
= 0.1mm
Pa / m
100

Substituting the values of R, µ, Rc, and

Q=−

π 1× 10−12 m 4
8 3.5 × 10

−3

Pa.s

dp
into eq. (9),
dx

× (−100) Pa / m × [1 −

16 0.1 mm 4 0.1 mm 1 0.1 mm 4
+
− (
) ] = 3.226 × 10 −9 m3 / s
7 1 mm 3 1 mm 21 1 mm

Problem 8.61

[Difficulty: 4]

Given:

Fully developed flow, Navier-Stokes equations; Non-Newtonian fluid

Find:

Velocity profile, flow rate and average velocity

Solution:
According to equation (8.10), we can write the governing equation for Non-Newtonian fluid velocity in a circular tube
n

r ∂p c1
⎛ du ⎞
τ rx = k ⎜ ⎟ =
+
2 ∂x r
⎝ dr ⎠

(1)

However, as for the Newtonian fluid case, we must set c1 = 0 as otherwise we’d have infinite stress at r = 0. Hence, equation (1)
becomes
n

r ∂p
⎛ du ⎞
k⎜ ⎟ =
2 ∂x
⎝ dr ⎠

(2)

The general solution for equation (2), obtained by integrating, is given by
1

1+
1
⎛ 1 ∂p ⎞ n
r n + c2
u =⎜
⎟
⎝ 2k ∂x ⎠ ⎛1 + 1 ⎞
⎜
⎟
⎝ n⎠
1

(3)

Apply the no slip boundary condition at r = R into equation (3), we get
1

1+
1
⎛ 1 ∂p ⎞ n
R n
c 2 = −⎜
⎟
⎝ 2k ∂x ⎠ ⎛1 + 1 ⎞
⎜
⎟
⎝ n⎠
1

(4)

The fluid velocity then is given as
1

n +1
n +1
⎞
n ⎛ 1 ∂p ⎞ n ⎛⎜ n
n ⎟
u (r ) =
r
R
−
⎜
⎟ ⎜
⎟
(n + 1) ⎝ 2k ∂x ⎠ ⎝
⎠

(5)

The volume flow rate is
1

Q = ∫ udA == ∫
A

Hence

R

0

n +1
n +1
⎞
n ⎛ 1 ∂p ⎞ n ⎛ n
2πr
⎟ ⎜⎜ r − R n ⎟⎟dr
⎜
(n + 1) ⎝ 2k ∂x ⎠ ⎝
⎠

(6)

1

1

R

3 n +1
n +1
3 n +1
r2 n ⎤
2nπ ⎛ 1 ∂p ⎞ n ⎡ n
2nπ ⎛ 1 ∂p ⎞ n n ⎛ n
1⎞
n
Q=
=
−
r
R
− ⎟
R
⎜
⎟
⎜
⎟ ⎢
⎜
⎥
(n + 1) ⎝ 2k ∂x ⎠ ⎣ 3n + 1
2
⎝ 3n + 1 2 ⎠
⎦ 0 (n + 1) ⎝ 2k ∂x ⎠

(7)

Simplifying
1

nπ ⎛ 1 ∂p ⎞ n
Q=−
⎜
⎟ R
(3n + 1) ⎝ 2k ∂x ⎠
When n = 1, then k = µ, and

3 n +1
n

(8)

πa 4 ∂p
Q=−
8µ ∂x , just like equation (8.13b) in the textbook.

The average velocity is given by
1

Q
Q
n ⎛ 1 ∂p ⎞ n
V = = 2 =−
⎟ R
⎜
(3n + 1) ⎝ 2k ∂x ⎠
A πR

n +1
n

(9)

Based on Eq. (7), the pressure gradient is

⎤
⎡
∂p
Q(3n + 1) ⎥
= −2k ⎢
3 n +1
⎢
⎥
∂x
⎣ nπR n ⎦

n

(10)

Substituting Q = 1µL/min= 1 × 10-9/60 m3/s, R = 1mm = 10-3 m, and n = 0.5 into eq.(10):

⎡ 10 −9
⎤
(
3(0.5) + 1) ⎥
⎢
∂p
= −2k ⎢ 60 3(0.5 )+1 ⎥
∂x
⎢ 0.5π 0.5
⎥
⎢⎣
⎥⎦

0.5

= −325k Pa/m for n = 0.5

(11)

Similarly, the required pressure gradients for n = 1 and n = 1.5 can be obtained:

∂p
= −42.4k Pa/m, for n = 1
∂x

(12)

∂p
≈ −5.42k Pa/m, for n = 1.5
∂x

(12)

Obviously, the magnitude of the required pressure gradient increases as n decreases. Among the three types of fluids (pseudoplastic
for n = 0.5, Newtonian for n = 1, and dilatant for n = 1.5), the dilatant fluid requires the lowest pressure pump for the same pipe
length.

Problem 8.62

[Difficulty: 2]

Given:

Fully developed flow in a pipe; slip boundary condition on the wall

Find:

Velocity profile and flow rate

Solution:
Similar to the example described in Section 8.3, one obtained

u=

r 2 ∂p
+ c2
4 µ ∂x

(1)

The constant c2 will be determined by the slip velocity boundary condition at r = R:

u =l

∂u
∂r

(2)

and one obtains

c2 =

R 2 ∂p ⎛ l
⎞
⎜ 2 − 1⎟
4 µ ∂x ⎝ R ⎠

(3)

Substituting c2 into Eq.(1), one obtains

u=−

1 ∂p 2
R − r 2 + 2lR
4 µ ∂x

(

)

(4)

The volume flow rate is
R

Q = ∫ u 2πrdr = −
0

l⎤
πR 4 ∂p ⎡
1+ 4 ⎥
⎢
R⎦
8µ ∂x ⎣

Substituting R = 10 µm, µ = 1.84 x 10-5 N⋅s/m2, mean free path l = 68 nm, and −

Q=−

π (10 ×10 −6 ) 4 m 4
8 1.84 × 10 −5 Pa.s

× (−1.0 × 10 6 )Pa/m × [1 + 4

(5)

∂p
= 1.0×106 Pa/m into eq. (5),
∂x

68 ×10 −9 m
] = 2.19 × 10 −10 m 3 /s .
10 × 10 −6 m

Problem 8.63

[Difficulty: 3]

Given:

Fully developed flow, velocity profile, and expression to calculate the flow rate

Find:

Velocity and flow rate

Solution:
For the fully developed flow, the N-S equations can be simplified to

Substituting the trial solution in equation (1), one obtains

⎛ ∂ 2 u ∂ 2 u ⎞ ∂p
= constant
µ ⎜⎜ 2 + 2 ⎟⎟ =
∂z ⎠ ∂x
⎝ ∂y
1 ⎞ ∂p
⎛ 1
− 2µu 0 ⎜ 2 + 2 ⎟ =
b ⎠ ∂x
⎝a
u0 = −

Rearrange it and one obtains

a 2b 2
∂p
2
2
2 µ (a + b ) ∂x

Q = ∫ u ( y, z )dydz = ab ∫

The flow rate is

2π

0

Substituting u ( ρ ,φ ) = u 0 (1 − ρ ) into Eq. (4) and integrating twice:
2

Substituting u0 into (5), one obtains

Q = ab ∫

2π

0

0

1

0

πa 3b 3
1
∂p
Q = πabu0 = −
2
2
2
4 µ (a + b ) ∂x

For a pipe radius R, a = b = R, from equation (6),

1 ⎛ πR 4 ∂p ⎞
⎟
Q pipe = ⎜⎜ −
8 ⎝ µ ∂x ⎟⎠
which is the same as equation (8.13b) in the book.
For a channel with an elliptic cross-section with a = R and b = 1.5R, from equation (6), one has

Q pipe =

29 ⎛ πR 4 ∂p ⎞
⎜−
⎟.
104 ⎜⎝ µ ∂x ⎟⎠

(2)

(3)

1

∫ ρu ( ρ , φ )dρdφ

∫ ρu (1 − ρ
0

(1)

2

(4)

1
)dρdφ = πabu0
2
(6)

(5)

Problem 8.64

Given:

The expression of hydraulic resistance of straight channels with different cross sectional shapes

Find:

Hydraulic resistance

[Difficulty: 2]

Solution:
Based on the expressions of hydraulic resistance listed in the table, one obtains
Using the circle as the example,

Rhyd

1 8 1×10 −3 × 10 × 10 −3 Pa ⋅ s × m
= µL 4 =
= 0.254 ×1012 Pa ⋅ s/m 3
−4 4
4
π
π
(1×10 )
m
a
8

The results are
Shape

Rhyd (1012 Pa·s/m3)

Circle

0.25

Ellipse

3.93

Triangle

18.48

Two plates

0.40

Rectangle

0.51

Square

3.24

Comparing the values of the hydraulic resistances, a straight channel with a circular cross section is the most energy efficient to pump
fluid with a fixed volumetric flow rate; the triangle is the worst.

Problem 8.65

Given:

Two-fluid flow in tube

Find:

Velocity distribution; Plot

[Difficulty: 3]

Solution:
D = 5 ⋅ mm

Given data

L = 5⋅ m

∆p = −5 ⋅ MPa

μ1 = 0.5⋅

N⋅ s

μ2 = 5 ⋅

2

m

N⋅ s
2

m

From Section 8-3 for flow in a pipe, Eq. 8.11 can be applied to either fluid
2

u=

⎛ ∂ ⎞ c1
⋅ ln( r) + c2
p +
4 ⋅ μ ⎝ ∂x ⎠
μ
r

⋅⎜

Applying this to fluid 1 (inner fluid) and fluid 2 (outer fluid)
2

u1 =

r

4 ⋅ μ1

⋅

∆p
L

+

2

c1

⋅ ln( r) + c2
μ1
r=

We need four BCs. Two are obvious

u2 =

D

r

4 ⋅ μ2

u2 = 0

2

⋅

∆p
L

+

(1)

c3
μ2

⋅ ln( r) + c4

r=

D
4

u1 = u2

(2)

The third BC comes from the fact that the axis is a line of symmetry
du1

r= 0

dr

=0

(3)

The fourth BC comes from the fact that the stress at the interface generated by each fluid is the same
r=

du1
du2
μ1 ⋅
= μ2 ⋅
dr
dr

D
4

2

Using these four BCs

⎛ D⎞
⎜2
⎝ ⎠ ⋅ ∆p + c3 ⋅ ln⎛ D ⎞ + c = 0
⎜
4
μ2 ⎝ 2 ⎠
4 ⋅ μ2 L
lim

c1

r → 0 μ1 ⋅ r

(4)

2

⎛ D⎞
⎜4
⎝ ⎠ ⋅ ∆p + c1 ⋅ ln⎛ D ⎞ + c =
⎜
2
μ1 ⎝ 4 ⎠
4 ⋅ μ1 L

2

⎛ D⎞
⎜4
⎝ ⎠ ⋅ ∆p + c3 ⋅ ln⎛ D ⎞ + c
⎜
4
μ2 ⎝ 4 ⎠
4 ⋅ μ2 L

4 ⋅ c1
4 ⋅ c3
D ∆p
D ∆p
⋅
+
= ⋅
+
8 L
D
D
8 L

=0

Hence, after some algebra
c1 = 0

(To avoid singularity)

c2 = −

(

2
D ⋅ ∆p μ2 + 3 ⋅ μ1

64⋅ L

μ1 ⋅ μ2

)

2

c3 = 0

c4 = −

D ⋅ ∆p
16⋅ L⋅ μ2

u 1 ( r) =

The velocity distributions are then

⎡⎢ 2
4 ⋅ μ1 ⋅ L ⎢
⎣
∆p

⋅ r −

2
⎛ D ⎞ ⋅ ( μ2 + 3⋅ μ1 )⎤⎥
⎜2
⎥
4 ⋅ μ2
⎝ ⎠
⎦

u 2 ( r) =

∆p
4 ⋅ μ2 ⋅ L

⎡2

⋅ ⎢r −

⎣

2
⎛ D ⎞ ⎤⎥
⎜2
⎝ ⎠⎦

(Note that these result in the same expression if µ 1 = µ 2, i.e., if we have one fluid)
Evaluating either velocity at r = D/4 gives the velocity at the interface
2

u interface = −

3 ⋅ D ⋅ ∆p

u interface = −

64⋅ μ2 ⋅ L

3
64

× ( 0.005 ⋅ m) × ⎛ −5 × 10 ⋅
2

2
⎞× m × 1
5 ⋅ N⋅ s 5 ⋅ m
2
m ⎠

6 N

⎜
⎝

u interface = 0.234

Evaluating u 1 at r = 0 gives the maximum velocity
2

u max = −

(

D ⋅ ∆p⋅ μ2 + 3 ⋅ μ1

)

64⋅ μ1 ⋅ μ2 ⋅ L

u max = −

1
64

× ( 0.005 ⋅ m) × ⎛ −5 × 10 ⋅
2

2

m
⎞ × 5 + 3 × 0.5 ⋅ m × 1 u
max = 1.02 s
2
N⋅ s 5 ⋅ m
5 × .5
m ⎠

6 N

⎜
⎝

2.5

Inner fluid
Outer fluid

r (mm)

2
1.5
1
0.5

0

0.2

0.4

0.6

Velocity (m/s)
The velocity distributions can be plotted in Excel

0.8

1

1.2

m
s

Problem 8.66

Given:

Turbulent pipe flow

Find:

Wall shear stress

[Difficulty: 2]

Solution:
Basic equation

(Eq. 4.18a)

Assumptions 1) Horizontal pipe 2) Steady flow 3) Fully developed flow
With these assumptions the x momentum equation becomes
2

p1

π D
4

2

π D
 τw π D L  p 2 
0
4

or

τw 

 p2  p1 D
4 L

3
12
1
τw    750  psi 
4
15

Since τw is negative it acts to the left on the fluid, to the right on the pipe wall

τw  3.13 psi



∆p D
4 L

Problem 8.67

Given:

Pipe glued to tank

Find:

Force glue must hold when cap is on and off

[Difficulty: 2]

Solution:
Basic equation

(Eq. 4.18a)

First solve when the cap is on. In this static case
2

π D

Fglue 

4

 p1

where p 1 is the tank pressure

Second, solve for when flow is occuring:
Assumptions 1) Horizontal pipe 2) Steady flow 3) Fully developed flow
With these assumptions the x momentum equation becomes
2

p1

π D
4

2

π D
 τw π D L  p 2 
0
4

Here p1 is again the tank pressure and p 2 is the pressure at the pipe exit; the pipe exit pressure is p atm = 0 kPa gage. Hence
2

Fpipe  Fglue  τw π D L 

π D
4

 p1

We conclude that in each case the force on the glue is the same! When the cap is on the glue has to withstand the tank pressure;
when the cap is off, the glue has to hold the pipe in place against the friction of the fluid on the pipe, which is equal in magnitude
to the pressure drop.
π
lbf
2
Fglue 
 ( 3  in)  30
4
2
in

Fglue  212  lbf

Problem 8.68

[Difficulty: 2]

Given:

Data on pressure drops in flow in a tube

Find:

Which pressure drop is laminar flow, which turbulent

Solution:
Given data

∂
∂x

p 1 = −4.5⋅

kPa

∂

m

∂x

p 2 = −11⋅

kPa
m

D = 30⋅ mm

From Section 8-4, a force balance on a section of fluid leads to
R ∂
D ∂
τw = − ⋅ p = − ⋅ p
2 ∂x
4 ∂x
Hence for the two cases
D ∂
τw1 = − ⋅ p 1
4 ∂x

τw1 = 33.8 Pa

D ∂
τw2 = − ⋅ p 2
4 ∂x

τw2 = 82.5 Pa

Because both flows are at the same nominal flow rate, the higher pressure drop must correspond to the turbulent flow, because, as
indicated in Section 8-4, turbulent flows experience additional stresses. Also indicated in Section 8-4 is that for both flows the
shear stress varies from zero at the centerline to the maximums computed above at the walls.
The stress distributions are linear in both cases: Maximum at the walls and zero at the centerline.

Problem 8.69

Given:

Flow through channel

Find:

Average wall stress

[Difficulty: 2]

Solution:
Basic equation

(Eq. 4.18a)

Assumptions 1) Horizontal pipe 2) Steady flow 3) Fully developed flow
With these assumptions the x momentum equation becomes
H

p 1  W H  τw 2  L ( W  H)  p 2  W H  0

or

W H
τw  p 2  p 1 
2  ( W  H)  L





τw  ∆p

L

2   1 



1

lbf

τw    1 

2
2
in

1  in 

2

144  in
ft

2



H

W

1  ft
12 in

30 ft



1



1  ft
9.5 in 


12 in
1 
30 ft



Since τw < 0, it acts to the left on the fluid, to the right on the channel wall

lbf
τw  0.195 
2
ft

3

τw  1.35  10

 psi

Problem 8.70

[Difficulty: 3]

Problem 8.71

Given:

Data from a funnel viscometer filled with pitch.

Find:

Viscosity of pitch.

[Difficulty: 1]

Solution:
V πD 4 ρg ⎛ h ⎞
(Volume flow rate)
=
⎜1 + ⎟
t
128µ ⎝ L ⎠
where Q is the volumetric flow rate, V flow volume, t is the time of flow, D is the diameter of the funnel stem, ρ is the density of the
Basic equation: Q =

pitch, µ is the viscosity of the pitch, h is the depth of the pitch in the funnel body, and L is the length of the funnel stem.
Assumption:

Viscous effects above the stem are negligible and the stem has a uniform diameter.

The given or available data is:

Calculate the flow rate:

V = 4.7 ×10 −5 m 3

t = 17,708days

D = 9.4mm

h = 75mm

L = 29mm

ρ = 1.1×103

Q=

V
=
t

kg
m3

4.7 × 10 −5 m 3
m3
= 3.702 × 10 −14
24hour 3600s
s
17708day ×
×
day
hour

Solve the governing equation for viscosity:

µ=

µ=

πD 4 ρg ⎛

h⎞
⎜1 + ⎟
128Q ⎝ L ⎠

µ = 2.41×108

N ⋅s
m2

4

m
m
⎛
⎞
3 kg
⎟ ×1.1× 10 3 × 9.81 2
m
s ⎛ 75mm ⎞ N × s 2
⎝ 1000mm ⎠
⎟×
⎜1 +
3
⎝ 29mm ⎠ kg × m
−14 m
128 × 3.702 ×10
s

π × (9.4mm )4 × ⎜

Compare this to the viscosity of water, which is 10-3 N·s/m2!

Relate this equation to 8.13c for flow driven by a pressure gradient:

Q=

π∆pD 4 πD 4 ∆p
.
=
×
128µL 128µ L

For this problem, the pressure (Δp) is replaced by the hydrostatic force of the pitch.
Consider the pressure variation in a static fluid.

∆p
∆p
dp
= − ρg = − ρg =
=
.
∆z L + h
dz
Replacing the term in 8.13c

Q=

Hence

which is the same as the given equation.

πD 4 ∆p πD 4 ρg × (L + h ) πD 4
⎛ h⎞
×
=
×
=
× ρg × ⎜1 + ⎟
L
128µ L 128µ
128µ
⎝ L⎠

V πD 4 ρg ⎛ h ⎞
Q= =
⎜1 + ⎟
t
128µ ⎝ L ⎠

Problem 8.72

[Difficulty: 3]

Problem 8.73

[Difficulty: 3]

Given: Data on mean velocity in fully developed turbulent flow
Find: Trendlines for each set; values of n for each set; plot
Solution:
y/R
0.898
0.794
0.691
0.588
0.486
0.383
0.280
0.216
0.154
0.093
0.062
0.041
0.024

u/U
0.996
0.981
0.963
0.937
0.907
0.866
0.831
0.792
0.742
0.700
0.650
0.619
0.551

y/R
0.898
0.794
0.691
0.588
0.486
0.383
0.280
0.216
0.154
0.093
0.062
0.037

u/U
0.997
0.998
0.975
0.959
0.934
0.908
0.874
0.847
0.818
0.771
0.736
0.690

Equation 8.22 is

Mean Velocity Distributions in a Pipe

u/U

1.0

0.1
0.01

0.10

1.00

y/R
Re = 50,000

Re = 500,000

Power (Re = 500,000)

Power (Re = 50,000)

Applying the Trendline analysis to each set of data:
At Re = 50,000

At Re = 500,000

u/U = 1.017(y/R )0.161

u/U = 1.017(y/R )0.117

2

with R = 0.998 (high confidence)
Hence

1/n = 0.161
n = 6.21

with R 2 = 0.999 (high confidence)
Hence

Both sets of data tend to confirm the validity of Eq. 8.22

1/n = 0.117
n = 8.55

Problem 8.74

[Difficulty: 3]

Problem 8.75

[Difficulty: 3] Part 1/2

Problem 8.75

[Difficulty: 3] Part 2/2

Problem 8.76

Given:

Laminar flow between parallel plates

Find:

Kinetic energy coefficient, α

[Difficulty: 3]

Solution:
Basic Equation: The kinetic energy coefficient, α is given by

∫
α=

A

ρ V 3dA
(8.26b)

m V 2

From Section 8-2, for flow between parallel plates
2
2
⎡ ⎛
⎞ ⎤ 3 ⎡ ⎛ y ⎞ ⎤
y
⎟ ⎥ = V ⎢1 − ⎜
⎟ ⎥
u = umax ⎢1 − ⎜
⎢ ⎜a ⎟ ⎥ 2 ⎢ ⎜a ⎟ ⎥
⎢⎣ ⎝ 2 ⎠ ⎥⎦
⎢⎣ ⎝ 2 ⎠ ⎥⎦

since umax =

3
V .
2

Substituting

α=

∫

A

ρV 3dA
m V 2

=

∫

A

ρu 3dA

ρV A V 2

3

=

1 ⎛u⎞
1
dA =
⎟
⎜
∫
A A⎝V ⎠
wa

a
2

a
2

3

3

2 ⎛u⎞
⎛u⎞
∫a ⎜⎝ V ⎟⎠ wdy = a ∫0 ⎜⎝ V ⎟⎠ dy

−

2

Then
3
3
31
1
3
2 a ⎛ u ⎞ ⎛ umax ⎞ ⎛⎜ y ⎞⎟ ⎛ 3 ⎞
⎜⎜
⎟⎟ ⎜
α=
= ⎜ ⎟ ∫ (1 − η 2 ) dη
⎟ d⎜
∫
a ⎟ ⎝2⎠ 0
a 2 0 ⎝ umax ⎠ ⎝ V ⎠
⎝ 2⎠

where η =

y
a
2

Evaluating,

(1 − η )

2 3

= 1 − 3η 2 + 3η 4 − η 6

The integral is then

⎛ 3⎞
α =⎜ ⎟
⎝2⎠

31

⎛ 3⎞
∫0 (1 − 3η + 3η − η )dη = ⎜⎝ 2 ⎟⎠
2

4

6

3

1

3 5 1 7 ⎤ 27 16
⎡
3
⎢⎣η − η + 5 η − 7 η ⎥⎦ = 8 35 = 1.54
0

Problem 8.77

[Difficulty: 3]

Problem 8.78

[Difficulty: 3]

Given:

Definition of kinetic energy correction coefficient α

Find:

α for the power-law velocity profile; plot

Solution:
Equation 8.26b is

α=

⌠
⎮
3
⎮ ρ⋅ V dA
⌡
2

mrate⋅ Vav

where V is the velocity, mrate is the mass flow rate and Vav is the average velocity
1
n

For the power-law profile (Eq. 8.22)

V = U⋅ ⎛⎜ 1 −

For the mass flow rate

mrate = ρ⋅ π⋅ R ⋅ Vav

Hence the denominator of Eq. 8.26b is

mrate⋅ Vav = ρ⋅ π⋅ R ⋅ Vav

We next must evaluate the numerator of Eq. 8.26b

⎝

⎞
R⎠
r

2.

2

3

⌠
3
⎮
⎮
n
r
3
3
ρ⋅ V dA = ⎮ ρ⋅ 2 ⋅ π⋅ r⋅ U ⋅ ⎛⎜ 1 − ⎞ dr
⎮
R⎠
⎝
⌡

⌠
⎮
⎮
⌡
⌠
⎮
⎮
⎮
⎮
⌡

2

R
3
2 2 3
n
2 ⋅ π⋅ ρ⋅ R ⋅ n ⋅ U
r⎞
⎛
dr =
ρ⋅ 2 ⋅ π⋅ r⋅ U ⋅ ⎜ 1 −
( 3 + n) ⋅ ( 3 + 2⋅ n)
R⎠
⎝
3

0

To integrate substitute

Then

m=1−

r
R

r = R⋅ ( 1 − m)
⌠
⎮
⎮
⎮
⎮
⌡

dm = −

R

dr = −R⋅ dm

R

0

dr

0

⌠
3
⎮
n
⎮
r
n
3
ρ⋅ 2 ⋅ π⋅ r⋅ U ⋅ ⎛⎜ 1 − ⎞ dr = −⎮ ρ⋅ 2 ⋅ π⋅ R⋅ ( 1 − m) ⋅ m ⋅ R dm
⌡
R⎠
⎝
1
3

1

⌠
3 ⎞
⎮
⎛ 3
+1
⎜
⎮
n
3
n
ρ⋅ V dA = ⎮ ρ⋅ 2 ⋅ π⋅ R⋅ ⎝ m − m
⎠ ⋅ R dm
⌡

⌠
⎮
⎮
⌡

Hence

0

2 2
3
⌠
2 ⋅ R ⋅ n ⋅ ρ⋅ π⋅ U
⎮
3
d
ρ
⋅
V
A
=
⎮
( 3 + n) ⋅ ( 3 + 2⋅ n)
⌡

α=

Putting all these results together

⌠
⎮
3
⎮ ρ⋅ V dA
⌡
2

2

=

3

( 3+ n) ⋅ ( 3+ 2⋅ n)
2

3

ρ⋅ π⋅ R ⋅ Vav

mrate⋅ Vav
α=

2

2⋅ R ⋅ n ⋅ ρ⋅ π⋅ U

3
2
2⋅ n
⎛ U ⎞ ⋅
⎜V
⎝ av ⎠ ( 3 + n) ⋅ ( 3 + 2⋅ n )

To plot α versus ReVav we use the following parametric relations

( )

n = −1.7 + 1.8⋅ log Reu

Vav
U

=

2⋅ n

(Eq. 8.23)

2

(Eq. 8.24)

( n + 1) ⋅ ( 2⋅ n + 1)

Vav
ReVav =
⋅ ReU
U

α=

3
2
2⋅ n
⎛ U ⎞ ⋅
⎜V
⎝ av ⎠ ( 3 + n) ⋅ ( 3 + 2⋅ n )

(Eq. 8.27)

A value of ReU leads to a value for n; this leads to a value for Vav/U; these lead to a value for ReVav and α
The plots of α, and the error in assuming α = 1, versus ReVav can be done in Excel.

Re U
1.00E+04
2.50E+04
5.00E+04
7.50E+04
1.00E+05
2.50E+05
5.00E+05
7.50E+05
1.00E+06
2.50E+06
5.00E+06
7.50E+06
1.00E+07

n
5.50
6.22
6.76
7.08
7.30
8.02
8.56
8.88
9.10
9.82
10.4
10.7
10.9

V av/U
0.776
0.797
0.811
0.818
0.823
0.837
0.846
0.851
0.854
0.864
0.870
0.873
0.876

Re Vav
Alpha
7.76E+03 1.09
1.99E+04 1.07
4.06E+04 1.06
6.14E+04 1.06
8.23E+04 1.05
2.09E+05 1.05
4.23E+05 1.04
6.38E+05 1.04
8.54E+05 1.04
2.16E+06 1.03
4.35E+06 1.03
6.55E+06 1.03
8.76E+06 1.03

Error
8.2%
6.7%
5.9%
5.4%
5.1%
4.4%
3.9%
3.7%
3.5%
3.1%
2.8%
2.6%
2.5%

Kinetic Energy Coefficient
vs Reynolds Number

Alpha

1.10
1.08
1.05
1.03
1.00
1E+03

1E+04

1E+05

1E+06

1E+07

1E+06

1E+07

Re Vav

Error in assuming Alpha = 1
vs Reynolds Number
10.0%

Error

7.5%

5.0%

2.5%

0.0%
1E+03

1E+04

1E+05
Re Vav

Problem 8.79

Given:

Data on flow through elbow

Find:

Head loss

Solution:
Basic equation

[Difficulty: 2]

2
2
⎛⎜ p
⎞ ⎜⎛ p
⎞ h
V1
V2
1
lT
2
+
α
⋅
+
z
+
α
⋅
+
z
−
⎜ ρ⋅ g
⎜ ρ⋅ g
1
2 = g = HlT
2
⋅
g
2
⋅
g
⎝
⎠ ⎝
⎠

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1

Then

HlT =

p1 − p2
ρ⋅ g

2

+

V1 − V2

3

2⋅ g

2

+ z1 − z2
2

(

)

2

2

m
kg⋅ m
s
1
m
s
3 N
2
2
HlT = ( 70 − 45) × 10 ⋅
×
×
×
+ × 1.75 − 3.5 ⋅ ⎛⎜ ⎞ ×
+ ( 2.25 − 3 ) ⋅ mHlT = 1.33 m
2
1000⋅ kg
2
9.81⋅ m
2
s
9.81
⋅m
⎝
⎠
m
s ⋅N
In terms of energy/mass

h lT = g ⋅ HlT

h lT = 9.81⋅

m
2

s

2

× 1.33⋅ m ×

N⋅ s

kg⋅ m

h lT = 13.0⋅

N⋅ m
kg

Problem 8.80

[Difficulty: 2]

Given:

Data on flow in a pipe

Find:

Head loss for horizontal pipe; inlet pressure for different alignments; slope for gravity feed

Solution:

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1 2
1
2 2
2 = h lT
⎝
⎠ ⎝ρ
⎠

The basic equation between inlet (1) and exit (2) is

Given or available data

D = 75⋅ mm

Horizontal pipe data

p 1 = 275 ⋅ kPa

Equation 8.29 becomes

h lT =

V = 5⋅

m
s

p 2 = 0 ⋅ kPa

p1 − p2

ρ = 999 ⋅

kg
m

(Gage pressures)

h lT = 275 ⋅

ρ

3

μ = 0.001 ⋅

(8.29)

N⋅ s
2

m
z1 = z2

V1 = V2

J
kg

For an inclined pipe with the same flow rate, the head loss will be the same as above; in addition we have the following new data
z1 = 0 ⋅ m
Equation 8.29 becomes

z2 = 15⋅ m

(

)

p 1 = p 2 + ρ⋅ g ⋅ z2 − z1 + ρ⋅ h lT

p 1 = 422 ⋅ kPa

For a declining pipe with the same flow rate, the head loss will be the same as above; in addition we have the following new data
z1 = 0 ⋅ m
Equation 8.29 becomes

z2 = −15⋅ m

(

)

p 1 = p 2 + ρ⋅ g ⋅ z2 − z1 + ρ⋅ h lT

p 1 = 128 ⋅ kPa

For a gravity feed with the same flow rate, the head loss will be the same as above; in addition we have the following new data
p 1 = 0 ⋅ kPa
Equation 8.29 becomes

h lT
z2 = z1 −
g

(Gage)
z2 = −28.1 m

Problem 8.81

Given:

Data on flow through elbow

Find:

Inlet velocity

[Difficulty: 2]

Solution:
Basic equation

2
2
⎛⎜ p
⎞ ⎜⎛ p
⎞ h
V1
V2
1
lT
2
⎜ ρ⋅ g + α⋅ 2⋅ g + z1 − ⎜ ρ⋅ g + α⋅ 2 ⋅ g + z2 = g = HlT
⎝
⎠ ⎝
⎠

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1

Then

2

2

(

V2 − V1 = 2 ⋅ V1

)2 − V12 = 3⋅ V12 =

(

2⋅ p1 − p2

)

(

)

+ 2 ⋅ g ⋅ z1 − z2 − 2 ⋅ g ⋅ HlT

ρ

⎡ (p1 − p2)
⎤
+ g ⋅ ( z1 − z2 ) − g ⋅ HlT⎥
3 ⎣
ρ
⎦

V1 =

2

V1 =

2

⋅⎢

3

⎡

× ⎢50 × 10 ⋅

⎢
⎣

3 N
2

m

3

×

m

1000⋅ kg

×

kg⋅ m
2

s ⋅N

+

9.81⋅ m
2

s

× ( −2 ) ⋅ m − 9.81⋅

m
2

s

⎤

× 1 ⋅ m⎥

⎥
⎦

m
V1 = 3.70
s

Problem 8.82

Given:

A given piping system and volume flow rate with two liquid choices.

Find:

Which liquid has greater pressure loss

[Difficulty: 2]

Solution:
Governing equation:

⎞
⎛ P1
⎞ ⎛P
V2
V2
⎜⎜ + α1 1 + gz1 ⎟⎟ − ⎜⎜ 2 + α 2 2 + gz 2 ⎟⎟ = hlT
2
2
⎠
⎠ ⎝ρ
⎝ρ
2
2
LV
V
hlT = hl + hlm = f
+K
D 2
2

Assumption: 1) Steady flow 2) Incompressible 3) Neglect elevation effects 4)Neglect velocity effects

LV2
V2
∆P = ρf
+ ρK
2
D 2
From Table A.8 it is seen that hot water has a lower density and lower kinematic viscosity than cold water.
The lower density means that for a constant minor loss coefficient (K) and velocity the pressure loss due to minor losses will be less
for hot water.
The lower kinematic viscosity means that for a constant diameter and velocity the Reynolds number will increase. From Figure 8.13 it
is seen that increasing the Reynolds number will either result in a decreased friction factor (f) or no change in the friction factor. This
potential decrease in friction factor combined with a lower density for hot water means that the pressure loss due to major losses will
be less for hot water as well.
Cold water has a greater pressure drop

Problem 8.83

Given:

Increased friction factor for water tower flow

Find:

How much flow is decreased

[Difficulty: 2]

Solution:
Basic equation from Example 8.7

V2 =

(

2 ⋅ g ⋅ z1 − z2
f ⋅ ⎛⎜

L

⎝D

)

+ 8⎞ + 1

⎠

where

L = 680 ⋅ ft

D = 4 ⋅ in

With f = 0.0308, we obtain

ft
V2 = 8.97⋅
s

and Q = 351 gpm

We need to recompute with f = 0.035

V2 =

2 × 32.2⋅

ft
2

× 80⋅ ft ×

s

z1 − z2 = 80⋅ ft

1
0.035 ⋅ ⎜⎛

⎜
⎝

680
4
12

+ 8⎞ + 1

ft
V2 = 8.42⋅
s

⎠

2

Hence

π⋅ D
Q = V2 ⋅ A = V2 ⋅
4
Q = 8.42⋅

ft
s

×

π
4

2

×

⎛ 4 ⋅ ft⎞ × 7.48⋅ gal × 60⋅ s
⎜ 12
1 ⋅ min
3
⎝
⎠
1 ⋅ ft

Q = 330 ⋅ gpm
(From Table G.2 1 ft3 = 7.48 gal)

Hence the flow is decreased by

( 330 − 309 ) ⋅ gpm = 21⋅ gpm

Problem 8.84

[Difficulty: 2]

Given:

Increased friction factor for water tower flow, and reduced length

Find:

How much flow is decreased

Solution:
Basic equation from Example 8.7

V2 =

(

2 ⋅ g ⋅ z1 − z2
f ⋅ ⎛⎜

L

⎝D

where now we have

L = 530 ⋅ ft

We need to recompute with f = 0.04

V2 =

)

+ 8⎞ + 1

⎠

D = 4 ⋅ in

2 × 32.2⋅

ft
2

× 80⋅ ft ×

s

z1 − z2 = 80⋅ ft
1

0.035 ⋅ ⎜⎛

⎜
⎝

530
4
12

+ 8⎞ + 1

ft
V2 = 9.51⋅
s

⎠

2

Hence

π⋅ D
Q = V2 ⋅ A = V2 ⋅
4
Q = 9.51⋅

ft
s

×

π
4

2

×

⎛ 4 ⋅ ft⎞ × 7.48⋅ gal × 60⋅ s
⎜ 12
1 ⋅ min
3
⎝
⎠
1 ⋅ ft

Q = 372 ⋅ gpm
(From Table G.2 1 ft3 = 7.48 gal)

Problem 8.85

[Difficulty: 2]

Problem 8.86

Given:

Data on flow through Alaskan pipeline

Find:

Head loss

Solution:
Basic equation

[Difficulty: 2]

2
2
⎛ p
⎞ ⎛ p
⎞ h
V1
V2
lT
⎜ 1
⎜ 2
+ α⋅
+ z1 −
+ α⋅
+ z2 =
= HlT
⎜ ρ ⋅g
⎜ ρ ⋅g
2
⋅
g
2
⋅
g
g
oil
oil
⎝
⎠ ⎝
⎠

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) SG = 0.9 (Table A.2)
Then

p1 − p2
HlT =
+ z1 − z2
SGoil⋅ ρH2O⋅ g
3

2

1
m
kg⋅ m
s
3 N
HlT = ( 8250 − 350 ) × 10 ⋅
×
×
×
×
+ ( 45 − 115 ) ⋅ m
2
0.9 1000⋅ kg
2
9.81⋅ m
m
s ⋅N
In terms of energy/mass h lT = g ⋅ HlT

h lT = 9.81⋅

m
2

s

HlT = 825 m
2

× 825 ⋅ m ×

N⋅ s

kg⋅ m

h lT = 8.09⋅

kN⋅ m
kg

Problem 8.87

[Difficulty: 2]

Problem 8.88

Given:

Data on flow through a tube

Find:

Head loss

Solution:
Basic equation

[Difficulty: 2]

2
2
⎞ ⎜⎛ p
⎞ h
⎛⎜ p
V1
V2
1
lT
2
+
α
⋅
+
z
+
α
⋅
+
z
−
⎜ ρ⋅ g
⎜ ρ⋅ g
1
2 = g = HlT
2
⋅
g
2
⋅
g
⎝
⎠ ⎝
⎠

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1
Given or available data

The basic equation reduces to

Q = 10⋅

h lT =

L
min

∆p
ρ

D = 15⋅ mm

∆p = 85⋅ kPa

ρ = 999 ⋅

kg
3

m
2

h lT = 85.1

m

2

s

HlT =

h lT
g

HlT = 8.68 m

Problem 8.89

[Difficulty: 2]

Problem 8.90

Given:

Data on flow from reservoir

Find:

Head from pump; head loss

Solution:
Basic equations

[Difficulty: 3]

2
2
⎛⎜ p
⎞ ⎜⎛ p
⎞ h
V3
V4
3
lT
4
+
α
⋅
+
z
+
α
⋅
+
z
−
⎜ ρ⋅ g
⎜ ρ⋅ g
3
4 = g = HlT
2
⋅
g
2
⋅
g
⎝
⎠ ⎝
⎠

for flow from 3 to 4

2
2
⎛⎜ p
⎞ ⎜⎛ p
⎞ ∆h
V3
V2
3
pump
2
= Hpump for flow from 2 to 3
⎜ ρ⋅ g + α⋅ 2⋅ g + z3 − ⎜ ρ⋅ g + α⋅ 2 ⋅ g + z2 =
g
⎝
⎠ ⎝
⎠

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) V2 = V3 = V4 (constant area pipe)
Then for the pump

Hpump =

p3 − p2
ρ⋅ g
3

2

m
kg⋅ m
s
3 N
Hpump = ( 450 − 150 ) × 10 ⋅
×
×
×
2
1000⋅ kg
2
9.81⋅ m
m
s ⋅N
In terms of energy/mass

h pump = g ⋅ Hpump

h pump = 9.81⋅

m
2

2

× 30.6⋅ m ×

s
For the head loss from 3 to 4 HlT =

p3 − p4
ρ⋅ g

Hpump = 30.6 m

N⋅ s

kg⋅ m

3

h lT = g ⋅ HlT

N⋅ m
kg

+ z3 − z4
2

m
kg⋅ m
s
3 N
HlT = ( 450 − 0 ) × 10 ⋅
×
×
×
+ ( 0 − 35) ⋅ m
2
1000⋅ kg
2
9.81⋅ m
m
s ⋅N
In terms of energy/mass

h pump = 300 ⋅

h lT = 9.81⋅

m
2

s

HlT = 10.9 m

2

× 10.9⋅ m ×

N⋅ s

kg⋅ m

h lT = 107 ⋅

N⋅ m
kg

Problem 8.91

[Difficulty: 2]

Given:

Data on flow in a pipe

Find:

Friction factor; Reynolds number; if flow is laminar or turbulent

Solution:
Given data

From Appendix A

∆p

D = 75⋅ mm
ρ = 1000⋅

L

kg

= 0.075 ⋅

μ = 4 ⋅ 10

3

Pa
m

kg
mrate = 0.075 ⋅
s

− 4 N⋅ s

⋅

m

2

m

The governing equations between inlet (1) and exit (2) are
2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
⎜ ρ + α1⋅ 2 + g ⋅ z1 − ⎜ ρ + α2 ⋅ 2 + g⋅ z2 = h l (8.29)
⎝
⎠ ⎝
⎠
2

hl = f ⋅

L V
⋅
D 2

(8.34)

For a constant area pipe

V1 = V2 = V

Hence Eqs. 8.29 and 8.34 become

f =

2⋅ D
2

⋅

(p1 − p2)
ρ

L⋅ V
For the velocity

mrate

V =

ρ⋅

π
4

f =

The Reynolds number is

Re =

2 ⋅ D ∆p
⋅
2 L
ρ⋅ V
V = 0.017

2

⋅D

2 ⋅ D ∆p
⋅
2 L
ρ⋅ V

Hence

=

ρ⋅ V⋅ D
μ

m
s

f = 0.0390

Re = 3183

This Reynolds number indicates the flow is turbulent.
(From Eq. 8.37, at this Reynolds number the friction factor for a smooth pipe is f = 0.043; the friction factor computed above thus
indicates that, within experimental error, the flow corresponds to turbulent flow in a smooth pipe)

Problem 8.92

[Difficulty: 2]

Problem 8.93

[Difficulty: 3]

Using the above formula for f 0, and Eq. 8.37 for f 1
e/D =

0

0.0001

0.0002

0.0005

0.001

0.002

0.005

0.01

0.02

0.05

Re
1.00E+04
2.50E+04
5.00E+04
7.50E+04
1.00E+05
2.50E+05
5.00E+05
7.50E+05
1.00E+06
5.00E+06
1.00E+07
5.00E+07
1.00E+08

0.0310
0.0244
0.0208
0.0190
0.0179
0.0149
0.0131
0.0122
0.0116
0.0090
0.0081
0.0066
0.0060

0.0311
0.0247
0.0212
0.0195
0.0185
0.0158
0.0145
0.0139
0.0135
0.0124
0.0122
0.0120
0.0120

0.0313
0.0250
0.0216
0.0200
0.0190
0.0167
0.0155
0.0150
0.0148
0.0140
0.0139
0.0138
0.0137

0.0318
0.0258
0.0226
0.0212
0.0204
0.0186
0.0178
0.0175
0.0173
0.0168
0.0168
0.0167
0.0167

0.0327
0.0270
0.0242
0.0230
0.0223
0.0209
0.0204
0.0201
0.0200
0.0197
0.0197
0.0196
0.0196

0.0342
0.0291
0.0268
0.0258
0.0253
0.0243
0.0239
0.0238
0.0237
0.0235
0.0235
0.0234
0.0234

0.0383
0.0342
0.0325
0.0319
0.0316
0.0309
0.0307
0.0306
0.0305
0.0304
0.0304
0.0304
0.0304

0.0440
0.0407
0.0395
0.0390
0.0388
0.0383
0.0381
0.0380
0.0380
0.0379
0.0379
0.0379
0.0379

0.0534
0.0508
0.0498
0.0494
0.0493
0.0489
0.0488
0.0487
0.0487
0.0487
0.0486
0.0486
0.0486

0.0750
0.0731
0.0724
0.0721
0.0720
0.0717
0.0717
0.0716
0.0716
0.0716
0.0716
0.0716
0.0716

0.001

0.002

0.005

0.01

0.02

0.05

0.0338
0.0288
0.0265
0.0256
0.0251
0.0241
0.0238
0.0237
0.0236
0.0235
0.0234
0.0234
0.0234

0.0376
0.0337
0.0322
0.0316
0.0313
0.0308
0.0306
0.0305
0.0305
0.0304
0.0304
0.0304
0.0304

0.0431
0.0402
0.0391
0.0387
0.0385
0.0381
0.0380
0.0380
0.0380
0.0379
0.0379
0.0379
0.0379

0.0523
0.0502
0.0494
0.0492
0.0490
0.0488
0.0487
0.0487
0.0487
0.0486
0.0486
0.0486
0.0486

0.0738
0.0725
0.0720
0.0719
0.0718
0.0716
0.0716
0.0716
0.0716
0.0716
0.0716
0.0716
0.0716

f0

Using the add-in function Friction factor from the Web
e/D =
Re
1.00E+04
2.50E+04
5.00E+04
7.50E+04
1.00E+05
2.50E+05
5.00E+05
7.50E+05
1.00E+06
5.00E+06
1.00E+07
5.00E+07
1.00E+08

0

0.0001

0.0002

0.0005

f
0.0309
0.0245
0.0209
0.0191
0.0180
0.0150
0.0132
0.0122
0.0116
0.0090
0.0081
0.0065
0.0059

0.0310
0.0248
0.0212
0.0196
0.0185
0.0158
0.0144
0.0138
0.0134
0.0123
0.0122
0.0120
0.0120

The error can now be computed

0.0312
0.0250
0.0216
0.0200
0.0190
0.0166
0.0154
0.0150
0.0147
0.0139
0.0138
0.0138
0.0137

0.0316
0.0257
0.0226
0.0212
0.0203
0.0185
0.0177
0.0174
0.0172
0.0168
0.0168
0.0167
0.0167

0.0324
0.0268
0.0240
0.0228
0.0222
0.0208
0.0202
0.0200
0.0199
0.0197
0.0197
0.0196
0.0196

e/D =

0

0.0001

0.0002

0.0005

0.001

0.002

0.005

0.01

0.02

0.05

Re
1.00E+04
2.50E+04
5.00E+04
7.50E+04
1.00E+05
2.50E+05
5.00E+05
7.50E+05
1.00E+06
5.00E+06
1.00E+07
5.00E+07
1.00E+08

0.29%
0.39%
0.63%
0.69%
0.71%
0.65%
0.52%
0.41%
0.33%
0.22%
0.49%
1.15%
1.44%

0.36%
0.24%
0.39%
0.38%
0.33%
0.04%
0.26%
0.41%
0.49%
0.51%
0.39%
0.15%
0.09%

0.43%
0.11%
0.19%
0.13%
0.06%
0.28%
0.51%
0.58%
0.60%
0.39%
0.27%
0.09%
0.06%

0.61%
0.21%
0.25%
0.35%
0.43%
0.64%
0.64%
0.59%
0.54%
0.24%
0.15%
0.05%
0.03%

Error (%)
0.88%
1.27%
0.60%
1.04%
0.67%
1.00%
0.73%
0.95%
0.76%
0.90%
0.72%
0.66%
0.59%
0.47%
0.50%
0.37%
0.43%
0.31%
0.16%
0.10%
0.10%
0.06%
0.03%
0.02%
0.02%
0.01%

1.86%
1.42%
1.11%
0.93%
0.81%
0.48%
0.31%
0.23%
0.19%
0.06%
0.03%
0.01%
0.00%

2.12%
1.41%
0.98%
0.77%
0.64%
0.35%
0.21%
0.15%
0.12%
0.03%
0.02%
0.01%
0.00%

2.08%
1.21%
0.77%
0.58%
0.47%
0.24%
0.14%
0.10%
0.08%
0.02%
0.01%
0.00%
0.00%

1.68%
0.87%
0.52%
0.38%
0.30%
0.14%
0.08%
0.06%
0.05%
0.01%
0.01%
0.00%
0.00%

The maximum discrepancy is 2.12% at Re = 10,000 and e/D = 0.01

0.100

f0
0.010

0.001
1E+04

e/D = 0
e/D = 0.0001
e/D = 0.0002
e/D = 0.0005
e/D = 0.001
e/D = 0.002
e/D = 0.005
e/D = 0.01
e/D = 0.02
e/D = 0.05

1E+05

1E+06

Re

1E+07

1E+08

Problem 8.94

[Difficulty: 3]

Solution:
Using the add-in function Friction factor from the web site
e/D =
Re
500
1.00E+03
1.50E+03
2.30E+03
1.00E+04
1.50E+04
1.00E+05
1.50E+05
1.00E+06
1.50E+06
1.00E+07
1.50E+07
1.00E+08

0

0.0001

0.0002

0.0005

0.001

0.002

0.005

0.01

0.02

0.04

0.1280
0.0640
0.0427
0.0489
0.0338
0.0313
0.0251
0.0246
0.0236
0.0235
0.0234
0.0234
0.0234

0.1280
0.0640
0.0427
0.0512
0.0376
0.0356
0.0313
0.0310
0.0305
0.0304
0.0304
0.0304
0.0304

0.1280
0.0640
0.0427
0.0549
0.0431
0.0415
0.0385
0.0383
0.0380
0.0379
0.0379
0.0379
0.0379

0.1280
0.0640
0.0427
0.0619
0.0523
0.0511
0.0490
0.0489
0.0487
0.0487
0.0486
0.0486
0.0486

0.1280
0.0640
0.0427
0.0747
0.0672
0.0664
0.0649
0.0648
0.0647
0.0647
0.0647
0.0647
0.0647

f
0.1280
0.0640
0.0427
0.0473
0.0309
0.0278
0.0180
0.0166
0.0116
0.0109
0.0081
0.0076
0.0059

0.1280
0.0640
0.0427
0.0474
0.0310
0.0280
0.0185
0.0172
0.0134
0.0130
0.0122
0.0121
0.0120

0.1280
0.0640
0.0427
0.0474
0.0312
0.0282
0.0190
0.0178
0.0147
0.0144
0.0138
0.0138
0.0137

0.1280
0.0640
0.0427
0.0477
0.0316
0.0287
0.0203
0.0194
0.0172
0.0170
0.0168
0.0167
0.0167

0.1280
0.0640
0.0427
0.0481
0.0324
0.0296
0.0222
0.0214
0.0199
0.0198
0.0197
0.0197
0.0196

Friction Factor vs Reynolds Number
1.000

0.100

f
e/D =

0.010

0.001
1.0E+02

0

0.0001

0.0002

0.0005

0.001

0.002

0.005

0.01

0.02

0.04

1.0E+03

1.0E+04

Re
1.0E+05

1.0E+06

1.0E+07

1.0E+08

Problem 8.95

[Difficulty: 2]

Problem 8.96

[Difficulty: 3]

Using the above formula for f 0, and Eq. 8.37 for f 1
e/D =

0

0.0001

0.0002

0.0005

0.001

0.002

0.005

0.01

0.02

0.05

Re
1.00E+04
2.50E+04
5.00E+04
7.50E+04
1.00E+05
2.50E+05
5.00E+05
7.50E+05
1.00E+06
5.00E+06
1.00E+07
5.00E+07
1.00E+08

0.0309
0.0244
0.0207
0.0189
0.0178
0.0148
0.0131
0.0122
0.0116
0.0090
0.0081
0.0066
0.0060

0.0310
0.0245
0.0210
0.0193
0.0183
0.0156
0.0143
0.0137
0.0133
0.0123
0.0122
0.0120
0.0120

0.0311
0.0248
0.0213
0.0197
0.0187
0.0164
0.0153
0.0148
0.0146
0.0139
0.0139
0.0138
0.0138

0.0315
0.0254
0.0223
0.0209
0.0201
0.0183
0.0176
0.0173
0.0172
0.0168
0.0168
0.0167
0.0167

0.0322
0.0265
0.0237
0.0226
0.0220
0.0207
0.0202
0.0200
0.0199
0.0197
0.0197
0.0197
0.0197

0.0335
0.0285
0.0263
0.0254
0.0250
0.0241
0.0238
0.0237
0.0236
0.0235
0.0235
0.0235
0.0235

0.0374
0.0336
0.0321
0.0316
0.0313
0.0308
0.0306
0.0305
0.0305
0.0304
0.0304
0.0304
0.0304

0.0430
0.0401
0.0391
0.0387
0.0385
0.0382
0.0381
0.0381
0.0380
0.0380
0.0380
0.0380
0.0380

0.0524
0.0502
0.0495
0.0492
0.0491
0.0489
0.0488
0.0488
0.0488
0.0487
0.0487
0.0487
0.0487

0.0741
0.0727
0.0722
0.0720
0.0719
0.0718
0.0717
0.0717
0.0717
0.0717
0.0717
0.0717
0.0717

0.001

0.002

0.005

0.01

0.02

0.05

0.0338
0.0288
0.0265
0.0256
0.0251
0.0241
0.0238
0.0237
0.0236
0.0235
0.0234
0.0234
0.0234

0.0376
0.0337
0.0322
0.0316
0.0313
0.0308
0.0306
0.0305
0.0305
0.0304
0.0304
0.0304
0.0304

0.0431
0.0402
0.0391
0.0387
0.0385
0.0381
0.0380
0.0380
0.0380
0.0379
0.0379
0.0379
0.0379

0.0523
0.0502
0.0494
0.0492
0.0490
0.0488
0.0487
0.0487
0.0487
0.0486
0.0486
0.0486
0.0486

0.0738
0.0725
0.0720
0.0719
0.0718
0.0716
0.0716
0.0716
0.0716
0.0716
0.0716
0.0716
0.0716

f0

Using the add-in function Friction factor from the Web
e/D =
Re
1.00E+04
2.50E+04
5.00E+04
7.50E+04
1.00E+05
2.50E+05
5.00E+05
7.50E+05
1.00E+06
5.00E+06
1.00E+07
5.00E+07
1.00E+08

0

0.0001

0.0002

0.0005

f
0.0309
0.0245
0.0209
0.0191
0.0180
0.0150
0.0132
0.0122
0.0116
0.0090
0.0081
0.0065
0.0059

0.0310
0.0248
0.0212
0.0196
0.0185
0.0158
0.0144
0.0138
0.0134
0.0123
0.0122
0.0120
0.0120

0.0312
0.0250
0.0216
0.0200
0.0190
0.0166
0.0154
0.0150
0.0147
0.0139
0.0138
0.0138
0.0137

0.0316
0.0257
0.0226
0.0212
0.0203
0.0185
0.0177
0.0174
0.0172
0.0168
0.0168
0.0167
0.0167

0.0324
0.0268
0.0240
0.0228
0.0222
0.0208
0.0202
0.0200
0.0199
0.0197
0.0197
0.0196
0.0196

The error can now be computed
e/D =
Re
1.00E+04
2.50E+04
5.00E+04
7.50E+04
1.00E+05
2.50E+05
5.00E+05
7.50E+05
1.00E+06
5.00E+06
1.00E+07
5.00E+07
1.00E+08

0

0.01%
0.63%
0.85%
0.90%
0.92%
0.84%
0.70%
0.59%
0.50%
0.07%
0.35%
1.02%
1.31%

0.0001

0.15%
0.88%
1.19%
1.30%
1.34%
1.33%
1.16%
0.99%
0.86%
0.17%
0.00%
0.16%
0.18%

0.0002

0.26%
1.02%
1.32%
1.40%
1.42%
1.25%
0.93%
0.72%
0.57%
0.01%
0.09%
0.18%
0.19%

0.0005

0.001

0.002

0.005

0.01

0.02

0.05

0.46%
1.20%
1.38%
1.35%
1.28%
0.85%
0.48%
0.30%
0.20%
0.11%
0.15%
0.19%
0.20%

Error (%)
0.64%
0.73%
1.22%
1.03%
1.21%
0.84%
1.07%
0.65%
0.94%
0.52%
0.47%
0.16%
0.19%
0.00%
0.07%
0.07%
0.01%
0.10%
0.15%
0.18%
0.18%
0.19%
0.20%
0.20%
0.20%
0.20%

0.55%
0.51%
0.28%
0.16%
0.09%
0.07%
0.13%
0.16%
0.17%
0.19%
0.20%
0.20%
0.20%

0.19%
0.11%
0.00%
0.06%
0.09%
0.15%
0.18%
0.18%
0.19%
0.20%
0.20%
0.20%
0.20%

0.17%
0.14%
0.16%
0.17%
0.18%
0.19%
0.20%
0.20%
0.20%
0.20%
0.20%
0.20%
0.20%

0.43%
0.29%
0.24%
0.23%
0.22%
0.21%
0.20%
0.20%
0.20%
0.20%
0.20%
0.20%
0.20%

The maximum discrepancy is 1.42% at Re = 100,000 and e/D = 0.0002

0.100

f
0.010

0.001
1E+04

e/D = 0
e/D = 0.0001
e/D = 0.0002
e/D = 0.0005
e/D = 0.001
e/D = 0.002
e/D = 0.005
e/D = 0.01
e/D = 0.02
e/D = 0.05

1E+05

1E+06

Re

1E+07

1E+08

Problem 8.97

Given:

Flow through gradual contraction

Find:

Pressure after contraction; compare to sudden contraction

Solution:

[Difficulty: 3]

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = h lm
2
2
⎝
⎠ ⎝ρ
⎠

Basic equations

h lm = K⋅

V2

2

2

Q = V⋅ A

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) Horizontal

Available data

Q = 25⋅

3

L

Q = 0.025

s

m

D1 = 75⋅ mm D2 = 37.5⋅ mm

s

p 1 = 500⋅ kPa

3

2

⎛ D2 ⎞ ⎛ 37.5 ⎞ 2
For an included angle of 150 and an area ratio
=⎜
= 0.25 we find from Table 8.3
=⎜
A1
⎝ D1 ⎠ ⎝ 75 ⎠

Hence the energy equation becomes

kg
m

A2

o

ρ = 999⋅

2
2
2
⎛⎜ p
V1 ⎞ ⎛⎜ p 2
V2 ⎞
V2
1
⎜ ρ + 2 − ⎜ ρ + 2 = K⋅ 2 with
⎝
⎠ ⎝
⎠

V1 =

K = 0.35

4⋅ Q
π⋅ D1

2

V2 =

4⋅ Q
π⋅ D2

2

2

ρ
8 ⋅ ρ⋅ Q ⎡ ( 1 + K)
1 ⎤
2
2
p 2 = p 1 − ⋅ ⎡( 1 + K) ⋅ V2 − V1 ⎤ = p 2 −
⋅⎢
−
⎥
⎦
2 ⎣
2
4
4
⎢
π
D1 ⎥
⎣ D2
⎦
2

3
2
⎛
m ⎞
1
1
⎤ × N⋅ s p = 170 ⋅ kPa
p 2 = 500 × 10 ⋅
−
× 999 ⋅
−
× ⎜ 0.025 ⋅
× ⎡( 1 + 0.35) ×
⎢
2
2
3 ⎝
s ⎠
4⎥
4
kg⋅ m 2
m
π
m
( 0.075 ⋅ m) ⎦
( 0.0375⋅ m)
⎣
3 N

8

kg

Repeating the above analysis for an included angle of 180 o (sudden contraction)
2

K = 0.41

2
3
⎛
1
m ⎞
1
⎤ × N⋅ s p = 155 ⋅ kPa
× ⎜ 0.025 ⋅
× ⎡( 1 + 0.41) ×
p 2 = 500 × 10 ⋅
−
× 999 ⋅
−
⎢
4
kg⋅ m 2
2
2
3 ⎝
s ⎠
4⎥
( 0.0375⋅ m)
m
π
m
( 0.075 ⋅ m) ⎦
⎣
3 N

8

kg

Problem 8.98

[Difficulty: 3]

Problem 8.99

Given:

Flow through sudden contraction

Find:

Volume flow rate

[Difficulty: 3]

Solution:
Basic equations

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = h lm
2
2
⎝
⎠ ⎝ρ
⎠

h lm = K⋅

V2

2

2

Q = V⋅ A

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) Horizontal
Hence the energy equation becomes
2
2
2
⎛⎜ p
V1 ⎞ ⎛⎜ p 2
V2 ⎞
V2
1
⎜ ρ + 2 − ⎜ ρ + 2 = K⋅ 2
⎝
⎠ ⎝
⎠

From continuity

A2
V1 = V2 ⋅
= V2 ⋅ AR
A1

Hence

2
2
2
2
⎛⎜ p
V2 ⋅ AR ⎞ ⎛⎜ p 2
V2 ⎞
V2
1
+
= K⋅
−⎜
⎜ρ +
2
2 ⎠
2
⎝
⎠ ⎝ρ

Solving for V 2

Hence

(

2⋅ p1 − p2

V2 =

(

2

2

)

ρ⋅ 1 − AR + K

V2 =

2 × 0.5⋅

lbf
2

Q = V2 ⋅ A2 =
π
4

π⋅ D2
4
2

×

⎛ D2 ⎞ ⎛ 1 ⎞ 2
AR = ⎜
=⎜
= 0.25
⎝ D1 ⎠ ⎝ 2 ⎠
2

×

in

Q =

)

so from Fig. 8.14

3

1
slug⋅ ft
⎛ 12⋅ in ⎞ × ft
×
×
⎜ 1 ⋅ ft
2
2
1.94⋅ slug
⎝
⎠
1 − 0.25 + 0.4
lbf ⋅ s

(

)

ft
V2 = 7.45⋅
s

2

⋅ V2
3

⎛ 1 ⋅ ft⎞ × 7.45⋅ ft Q = 0.0406⋅ ft
⎜ 12
s
s
⎝
⎠

Q = 2.44⋅

ft

3

min

Q = 18.2⋅ gpm

K = 0.4

Problem 8.100

Given:

Flow through sudden expansion

Find:

Inlet speed; Volume flow rate

[Difficulty: 3]

Solution:
Basic equations

2
2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
V1
1
2
⎜ ρ + α⋅ 2 + g⋅ z1 − ⎜ ρ + α⋅ 2 + g⋅ z2 = h lm h lm = K⋅ 2
⎝
⎠ ⎝
⎠

Q = V⋅ A

∆p = ρH2O⋅ g ⋅ ∆h

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) Horizontal
Hence the energy equation becomes
2
2
2
⎛⎜ p
V1 ⎞ ⎛⎜ p 2
V2 ⎞
V1
1
⎜ ρ + 2 − ⎜ ρ + 2 = K⋅ 2
⎝
⎠ ⎝
⎠

From continuity

A1
V2 = V1 ⋅
= V1 ⋅ AR
A2

Hence

2
2
2
2
⎛⎜ p
V1 ⎞ ⎛⎜ p 2
V1 ⋅ AR ⎞
V1
1
= K⋅
⎜ρ + 2 −⎜ρ +
2
2
⎝
⎠ ⎝
⎠

Solving for V 1

Also

Hence

V1 =

(

2⋅ p2 − p1

(

)

2

2

⎛ D1 ⎞ ⎛ 75 ⎞ 2
AR = ⎜
=⎜
= 0.111
⎝ D2 ⎠ ⎝ 225 ⎠

)

ρ⋅ 1 − AR − K

kg

m

×

1

so from Fig. 8.14

K = 0.8

2

N⋅ s

5

p 2 − p 1 = ρH2O⋅ g ⋅ ∆h = 1000⋅
× 9.81⋅ ×
⋅m ×
= 49.1⋅ Pa
3
2
1000
kg⋅ m
m
s
V1 =

2 × 49.1⋅

3

N
2

m
Q = V1 ⋅ A1 =

π⋅ D1
4

×

m

1.23⋅ kg

2

⋅ V1

(1 − 0.1112 − 0.8)

×

kg⋅ m
2

N⋅ s

3

2

75
m
Q =
⋅ m⎞ × 20.6⋅
× ⎛⎜
4 ⎝ 1000 ⎠
s
π

m
V1 = 20.6
s

Q = 0.0910⋅

m
s

3

Q = 5.46⋅

m

min

Problem 8.101

Given:

Data on a pipe sudden contraction

Find:

Theoretical calibration constant; plot

[Difficulty: 4]

Solution:
Given data

D1 = 45⋅ mm

D2 = 22.5⋅ mm

The governing equations between inlet (1) and exit (2) are
2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
⎜ ρ + α1⋅ 2 + g ⋅ z1 − ⎜ ρ + α2 ⋅ 2 + g⋅ z2 = h l
⎝
⎠ ⎝
⎠

where

h l = K⋅

V2

(8.29)

2

(8.40a)

2

Hence the pressure drop is (assuming α = 1)
2
⎛⎜ V 2 V 2
V2 ⎞
2
1
∆p = p 1 − p 2 = ρ⋅ ⎜
−
+ K⋅
2
2 ⎠
⎝ 2

For the sudden contraction

so

π
π
2
2
V1 ⋅ ⋅ D1 = V2 ⋅ ⋅ D2 = Q
4
4

∆p =

4
⎡
⎢⎛ D1 ⎞
⋅ ⎜
( 1 + K) −
2 ⎢ D2
⎣⎝ ⎠

ρ⋅ V1

2

⎛ D1 ⎞
V2 = V1 ⋅ ⎜
⎝ D2 ⎠

or

⎤
⎥
1
⎥
⎦

For the pressure drop we can use the manometer equation
∆p = ρ⋅ g ⋅ ∆h

Hence

In terms of flow rate Q

ρ⋅ g ⋅ ∆h =

4
⎡
⎢⎛ D1 ⎞
⋅ ⎜
( 1 + K) −
2 ⎢ D2
⎣⎝ ⎠

ρ⋅ V1

2

⎤
⎥
1
⎥
⎦

⎡⎛ D ⎞ 4
⎢ 1
ρ⋅ g ⋅ ∆h = ⋅
⋅ ⎜
( 1 + K) −
2 ⎢ D2
2
⎣
⎝
⎠
π
2
⎛ ⋅D ⎞
⎜4 1
⎝
⎠
ρ

2

Q

⎤
⎥
1
⎥
⎦

2

or

⎡ D ⎞4
⎢⎛ 1
g ⋅ ∆h =
⋅ ⎜
( 1 + K) −
2
4 ⎢ D2
⎠
π ⋅ D1 ⎣⎝

Hence for flow rate Q we find

Q = k ⋅ ∆h

2

8⋅ Q

2

k=

where

g ⋅ π ⋅ D1

4

4
⎡
⎢⎛ D1 ⎞
8⋅ ⎜
⎢ D ( 1 + K) −
⎣⎝ 2 ⎠

For K, we need the aspect ratio AR

⎛ D2 ⎞
AR = ⎜
⎝ D1 ⎠

From Fig. 8.15

K = 0.4

⎤
⎥
⎥
⎦

1

⎤
⎥
⎥
⎦

1

2

AR = 0.25

5
2

Using this in the expression for k, with the other given values

k =

g ⋅ π ⋅ D1

4

⎡⎛ D ⎞ 4
⎢ 1
8⋅ ⎜
⎢ D ( 1 + K) −
⎣⎝ 2 ⎠

−3 m

k = 1.52 × 10

⎤
⎥
1
⎥
⎦

L

For Δh in mm and Q in L/min

k = 2.89⋅

min
1

mm

2

The plot of theoretical Q versus flow rate Δh can be done in Excel.

Calibration Curve for a
Sudden Contraction Flow Meter
60

Q (L/mm)

50
40
30
20
10
0
0

50

100

150
200
Dh (mm)

It is a practical device, but is a) Nonlinear and b) has a large energy loss

250

300

350

⋅

2

s

Problem 8.102

Given:

Flow through a reentrant device

Find:

Head loss

[Difficulty: 3]

Solution:
Basic equations

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = h lT
2
2
⎝
⎠ ⎝ρ
⎠

2

V2
L V2
h lT = h l + h lm = f ⋅ ⋅
+ K⋅
2
D 2

2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) L << so ignore hl 5) Reentrant
3

Available data

D1 = 100 ⋅ mm

D2 = 50⋅ mm

Q = 0.01⋅

π
2
A1 = ⋅ D1
4

A1 = 7.85 × 10 mm

3

m

π
2
A2 = ⋅ D2
4

2

K = 0.78

and from Table 8.2

s
3

2

A2 = 1.96 × 10 mm

Hence between the free surface (Point 1) and the exit (2) the energy equation becomes
p1
ρ
From continuity

Hence

Solving for h

+

V1

2

2

−

V2
2

2

−

Q = V1 ⋅ A1 = V2 ⋅ A2
2

p2
ρ

= K⋅

V2

2

2

ρ
2

1 Q ⎞
1 Q ⎞
Q ⎞
g ⋅ h + ⋅ ⎛⎜
− ⋅ ⎛⎜
= K⋅ ⋅ ⎛⎜
2 A1
2 A2
2 A2
⎝ ⎠
⎝ ⎠
⎝ ⎠
1

⎛Q⎞
⎜A
⎝ 2⎠
h =

p1 − p2

and also

=

2

2

2⎤
⎡
⎛ A2 ⎞ ⎥
⎢
⋅ 1+ K− ⎜
⎥
2⋅ g ⎢
⎣
⎝ A1 ⎠ ⎦

h = 2.27 m

ρ⋅ g ⋅ h
ρ

= g⋅ h

where h is the head loss

Q = V⋅ A

Problem 8.103

[Difficulty: 4]

Given:

Contraction coefficient for sudden contraction

Find:

Expression for minor head loss; compare with Fig. 8.15; plot

Solution:
We analyse the loss at the "sudden expansion" at the vena contracta
The governing CV equations (mass, momentum, and energy) are

Assume:

1) Steady flow 2) Incompressible flow 3) Uniform flow at each section 4) Horizontal: no body force 5) No
shaft work 6) Neglect viscous friction 7) Neglect gravity

The mass equation becomes

Vc⋅ Ac = V2 ⋅ A2

The momentum equation becomes

p c⋅ A2 − p 2 ⋅ A2 = Vc⋅ −ρ⋅ Vc⋅ Ac + V2 ⋅ ρ⋅ V2 ⋅ A2

or (using Eq. 1)

Ac
p c − p 2 = ρ⋅ Vc⋅
⋅ V2 − Vc
A2

The energy equation becomes

pc
p2
⎛
⎛
2⎞
2⎞
Qrate = ⎜ u c +
+ Vc ⋅ −ρ⋅ Vc⋅ Ac + ⎜ u 2 +
+ V2 ⋅ ρ⋅ V2 ⋅ A2
ρ
ρ
⎝
⎠
⎝
⎠

or (using Eq. 1)

(1)

(

)

(

h lm = u 2 − u c −
=
mrate

)

)

(2)

(

Qrate

(

)

2

Vc − V2
2

(

2

+

pc − p2
ρ

(3)

)

2

h lm =

Combining Eqs. 2 and 3

Vc − V2
2

⎡
⎢
h lm =
⋅ 1−
2 ⎢
⎣
Vc

Ac

Cc =

From Eq. 1

h lm =

h lm =

Vc

Ac
+ Vc⋅
⋅ V2 − Vc
A2

(

2⎤
A
V
⎤
⎛ V2 ⎞ ⎥
2 c ⎡⎛ 2 ⎞
⎜ V ⎥ + Vc ⋅ A ⋅ ⎢⎜ V − 1⎥
2 ⎣⎝ c ⎠
⎝ c⎠ ⎦
⎦

Vc

2

⋅ ⎛ 1 − Cc
2 ⎝

Vc

2

Vc

2⎞

2
⎠ + Vc ⋅ Cc⋅ ( Cc − 1 )

⋅ ⎛ 1 − C c + 2 ⋅ C c − 2 ⋅ C c⎞
⎝
⎠
2

2

)

V2

=

A2

h lm =

Hence

2

2

2

2

(

⋅ 1 − Cc
2
2

)2

(4)
2

2

2

Vc
⎛ V2 ⎞
2
h lm = K⋅
= K⋅
⋅⎜
= K⋅
⋅ Cc
2
2
2
Vc
⎝ ⎠
V2

But we have

K=

Hence, comparing Eqs. 4 and 5

Vc

(5)

( 1 − Cc) 2
Cc

2

⎛ 1 − 1⎞
⎜C
⎝ c
⎠

2

So, finally

K=

where

⎛ A2 ⎞
Cc = 0.62 + 0.38⋅ ⎜
⎝ A1 ⎠

3

This result,can be plotted in Excel. The agreement with Fig. 8.15 is reasonable.

0.5
0.4

K

0.3
0.2
0.1

0

0.2

0.4

0.6

AR

0.8

1

Problem 8.104

Given:

Flow through short pipe

Find:

Volume flow rate; How to improve flow rate

[Difficulty: 3]

Solution:
Basic equations

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
⎜ ρ + α⋅ 2 + g⋅ z1 − ⎜ ρ + α⋅ 2 + g⋅ z2 = h lT
⎝
⎠ ⎝
⎠

2

V2
L V2
h lT = h l + h lm = f ⋅ ⋅
+ K⋅
2
D 2

2

Q = V⋅ A

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) L << so ignore hl 5) Reentrant
Hence between the free surface (Point 1) and the exit (2) the energy equation becomes
V1

2

+ g ⋅ z1 −

2
From continuity

Hence

V2

2

= K⋅

2

V2

2

2

A2
V1 = V2 ⋅
A1
2
2
2
V2
V2
⎛ A2 ⎞
⋅⎜
+ g⋅ h −
= K⋅
2
2
2
⎝ A1 ⎠

V2

2

Solving for V 2

V2 =

Hence

V2 =

2⋅ g⋅ h

2 × 9.81⋅

m
2

× 1⋅ m ×

s

Q = V2 ⋅ A2

Q = 3.33⋅

K = 0.78

and from Table 8.2

2
⎡
⎛ A2 ⎞ ⎤⎥
⎢
⎢1 + K − ⎜ A ⎥
⎣
⎝ 1⎠ ⎦

m
s

1

m
V2 = 3.33
s

2
⎡
350 ⎞ ⎤
⎢1 + 0.78 − ⎛⎜
⎥
⎣
⎝ 3500 ⎠ ⎦
2

× 350 ⋅ mm ×

⎛ 1⋅ m ⎞
⎜
⎝ 1000⋅ mm ⎠

2

3
−3m

Q = 1.17 × 10

s

The flow rate could be increased by (1) rounding the entrance and/or (2) adding a diffuser (both somewhat expensive)

3

Q = 0.070 ⋅

m

min

Problem 8.105

[Difficulty: 3]

Problem 8.106

[Difficulty: 3]

Problem 8.107

[Difficulty: 3]

Given:

Flow out of water tank

Find:

Volume flow rate using hole; Using short pipe section; Using rounded edge

Solution:
Basic equations

2
2
2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
V2
1
L V2
2
⎜ ρ + α⋅ 2 + g⋅ z1 − ⎜ ρ + α⋅ 2 + g⋅ z2 = h lT h lT = hl + h lm = f ⋅ D ⋅ 2 + K⋅ 2 Q = V⋅ A
⎝
⎠ ⎝
⎠

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) Vl << 5) L << so hl = 0
Available data

D = 25⋅ mm

r = 5 ⋅ mm

h = 5⋅ m

Hence for all three cases, between the free surface (Point 1) and the exit (2) the energy equation becomes
2

g ⋅ z1 −

V2
2

2

= K⋅

V2

and solving for V 2

2

From Table 8.2 Khole = 0.5 for a hole (assumed to be square-edged)
Also, for a rounded edge

r
D

Hence for the hole

=

V2 =

5⋅ mm
25⋅ mm

= 0.2 > 0.15

2 × 9.81⋅

m
s

Q = V2 ⋅ A2

Hence for the pipe

V2 =

2 × 9.81⋅

Q = 8.09⋅

m
s

Q = V2 ⋅ A2

V2 =

1

s

×

π
4

× ( 0.025⋅ m)

2 × 9.81⋅

m
2

× 5⋅ m ×

2

1

s

×

π
4

× ( 0.025⋅ m)
L

( 1 + 0.04)
L
s

3
−3m

Q = 3.97 × 10

s

Q = 3.97⋅

L

Q = 3.64⋅

L

s

2

3
−3m

Q = 3.64 × 10

s

s

The pipe leads to a LOWER flow rate

s

1

4.77 − 3.97 = 0.8⋅

Kround = 0.04

m
V2 = 7.42
s

( 1 + 0.78)
m

(1 + K)

m
V2 = 8.09
s

( 1 + 0.5)
m

2⋅ g ⋅ h

Kpipe = 0.78 for a short pipe (rentrant)

so from Table 8.2

3.64 − 3.97 = −0.33⋅

s
Hence the change in flow rate is

2

× 5⋅ m ×

Q = 7.42⋅

Hence the change in flow rate is

Hence for the rounded

2

× 5⋅ m ×

V2 =

m
V2 = 9.71
s

Q = V2⋅ A2

Q = 4.77⋅

L
s

The rounded edge leads to a HIGHER flow rate

Problem 8.108

Given:

Data on inlet and exit diameters of diffuser

Find:

Minimum lengths to satisfy requirements

[Difficulty: 2]

Solution:
Given data

D1 = 100 ⋅ mm

D2 = 150 ⋅ mm

The governing equations for the diffuser are

h lm = K⋅

V1

(

)

V1

= Cpi − Cp ⋅
2

2
1

Cpi = 1 −

and

2

2

(8.44)

(8.42)
2

AR

Combining these we obtain an expression for the loss coefficient K
1

K= 1−

− Cp

2

(1)

AR
The area ratio AR is

⎛ D2 ⎞
AR = ⎜
⎝ D1 ⎠

2

AR = 2.25

The pressure recovery coefficient Cp is obtained from Eq. 1 above once we select K; then, with Cp and AR specified, the minimum
value of N/R1 (where N is the length and R1 is the inlet radius) can be read from Fig. 8.15
(a)

K = 0.2

1

Cp = 1 −

2

−K

Cp = 0.602

AR
From Fig. 8.15

N
R1

= 5.5

R1 =

N = 5.5⋅ R1
(b)

K = 0.35

Cp = 1 −

D1
2

R1 = 50⋅ mm
N = 275 ⋅ mm

1
2

−K

Cp = 0.452

AR
From Fig. 8.15

N
R1

=3

N = 3 ⋅ R1

N = 150 ⋅ mm

Problem 8.109

Given:

Data on geometry of conical diffuser; flow rate

Find:

Static pressure rise; loss coefficient

Solution:
Basic equations

Cp =

p2 − p1
1
2

⋅ ρ⋅ V1

V1

2

[Difficulty: 3]

2

(

(8.41) h lm = K⋅
2

Given data

D1 = 2 ⋅ in

From Eq. 8.41

1
2
∆p = p 2 − p 1 = ⋅ ρ⋅ V1 ⋅ Cp (1)
2

)

V1

2

= Cpi − Cp ⋅
2

D2 = 3.5⋅ in

1

Cpi = 1 −

(8.44)

(8.42)
2

AR

N = 6 ⋅ in

Q = 750 ⋅ gpm

(N = length)

K= 1−

Combining Eqs. 8.44 and 8.42 we obtain an expression for the loss coefficient K

1
2

− Cp

(2)

AR

The pressure recovery coefficient Cp for use in Eqs. 1 and 2 above is obtained from Fig. 8.15 once compute AR and the
dimensionless length N/R1 (where R1 is the inlet radius)
The aspect ratio AR is

⎛ D2 ⎞
AR = ⎜
⎝ D1 ⎠
R1 =

2

D1

R1 = 1 ⋅ in

2

2

⎛ 3.5 ⎞
⎜ 2
⎝ ⎠

AR =

AR = 3.06

N

Hence

R1

=6

From Fig. 8.15, with AR = 3.06 and the dimensionless length N/R1 = 6, we find Cp = 0.6
V1 =
π

To complete the calculations we need V1

4

3

4
gal
1 ⋅ ft
1 ⋅ min
V1 =
× 750 ⋅
×
×
×
π
min 7.48⋅ gal
60⋅ s

Q
⋅ D1

2

∆p =

We can now compute the pressure rise and loss coefficient from Eqs. 1 and 2

∆p =

1
2

K= 1−

× 1.94⋅

slug
ft

1
2

AR

3

− Cp

× ⎛⎜ 76.6⋅

⎝

ft ⎞
s⎠

K = 1−

2

2

× 0.6 ×

1
3.06

2

lbf ⋅ s

slug⋅ ft

− 0.6

×

1

2
⎛ 1 ⎞ V = 76.6⋅ ft
1
⎜ 2
s
⎜ ⋅ ft
⎝ 12 ⎠

2

⋅ ρ⋅ V1 ⋅ Cp
2

⎛ 1 ⋅ ft ⎞
⎜ 12⋅ in
⎝
⎠

2

∆p = 23.7⋅ psi

K = 0.293

Problem 8.110

[Difficulty: 4]

Problem 8.111

[Difficulty: 4]

Given:

Sudden expansion

Find:

Expression for minor head loss; compare with Fig. 8.15; plot

Solution:
The governing CV equations (mass, momentum, and energy) are

Assume:

1) Steady flow 2) Incompressible flow 3) Uniform flow at each section 4) Horizontal: no body force 5) No
shaft work 6) Neglect viscous friction 7) Neglect gravity

The mass equation becomes

V1 ⋅ A1 = V2 ⋅ A2

The momentum equation becomes

p 1 ⋅ A2 − p 2 ⋅ A2 = V1 ⋅ −ρ⋅ V1 ⋅ A1 + V2 ⋅ ρ⋅ V2 ⋅ A2

or (using Eq. 1)

A1
p 1 − p 2 = ρ⋅ V1 ⋅
⋅ V2 − V1
A2

The energy equation becomes

p1
p2
⎛
⎛
2⎞
2⎞
Qrate = ⎜ u 1 +
+ V1 ⋅ −ρ⋅ V1 ⋅ A1 + ⎜ u 2 +
+ V2 ⋅ ρ⋅ V2 ⋅ A2
ρ
ρ
⎝
⎠
⎝
⎠

or (using Eq. 1)

(

)

(

h lm = u 2 − u 1 −
=
mrate
h lm =

V1 − V2
2

⎡
⎢
h lm =
⋅ 1−
2 ⎢
⎣
V1

2

2

)

V1 − V2
2

(

2⎤

(

2

A1
+ V1 ⋅
⋅ V2 − V1
A2

⎛ V2 ⎞
⎜
⎝ V1 ⎠

)
(2)

2

Qrate

(

)

(

2

Combining Eqs. 2 and 3

(1)

+

p1 − p2
ρ

)

A
V
⎤
⎥
2 1 ⎡⎛ 2 ⎞
+ V1 ⋅
⋅ ⎢⎜
− 1⎥
⎥
A2
⎦
⎣⎝ V1 ⎠ ⎦

(3)

)

AR =

From Eq. 1

h lm =

Hence

h lm =

A1
A2
V1

2

V1
2

V1

(

2

(

2

⋅ 1 − AR

2

h lm = K⋅

V2

=

2

)

2

⋅ 1 − AR + 2 ⋅ AR − 2 ⋅ AR

V1

2

2

K = ( 1 − AR)

Finally

) + V12⋅AR⋅(AR − 1)

2

= ( 1 − AR) ⋅

V1

2

2

2

This result, and the curve of Fig. 8.15, are shown below as computed in Excel. The agreement is excellent.
AR
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0

K CV

K Fig. 8.15

1.00
0.81
0.64
0.49
0.36
0.25
0.16
0.09
0.04
0.01
0.00

1.00
0.60
0.38
0.25
0.10
0.01
0.00

(Data from Fig. 8.15
is "eyeballed")

Loss Coefficient for a
Sudden Expansion
1.0
Theoretical Curve

0.8

Fig. 8.15

K
0.5
0.3
0.0
0.00

0.25

0.50
Area Ratio AR

0.75

1.00

Problem 8.112

[Difficulty: 3]

Problem 8.113

Given:

Sudden expansion

Find:

Expression for upstream average velocity

[Difficulty: 2]

Solution:
2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
⎜ ρ + α1⋅ 2 + g⋅ z1 − ⎜ ρ + α2⋅ 2 + g⋅ z2 = h lT
⎝
⎠ ⎝
⎠

The basic equation is

(8.29)

2

V
h lT = h l + K ⋅
2
Assume:

1) Steady flow 2) Incompressible flow 3) h l = 0 4) α1 = α2 = 1 5) Neglect gravity

The mass equation is

V1⋅ A1 = V2⋅ A2

so

V2 = AR⋅ V1

Equation 8.29 becomes

p1
ρ

or (using Eq. 1)

∆p
ρ

Solving for V1

If the flow were frictionless, K = 0, so

+

=

V1 =

V1

2

=

2

(1)
p1

+

ρ

p2 − p1

V1

2

+ K⋅

2

V1

=

ρ

2

2

2 ⋅ ∆p

(

compared to

(

(

2 ⋅ ∆p

2

< V1

)

2

ρ⋅ 1 − AR

∆pinvscid =

∆p =

2

)

2

V1
2

2

(

V1
2

2

(

)

2

⋅ 1 − AR

2

)

⋅ 1 − AR − K

Hence a given flow rate would generate a larger Δp for inviscid flow

2

)

⋅ 1 − AR − K

Hence the flow rate indicated by a given Δp would be lower

If the flow were frictionless, K = 0, so

V1

ρ⋅ 1 − AR − K

Vinviscid =

A1
V2 = V1⋅
A2

Problem 8.114

[Difficulty: 4]

e
d
Flow

Nozzle

Short pipe

Given:

Flow out of water tank through a nozzle

Find:

Change in flow rate when short pipe section is added; Minimum pressure; Effect of frictionless flow

Solution:
Basic equations

2
2
2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
V2
1
L V2
2
⎜ ρ + α⋅ 2 + g⋅ z1 − ⎜ ρ + α⋅ 2 + g⋅ z2 = h lT h lT = hl + h lm = f ⋅ D ⋅ 2 + K⋅ 2 Q = V⋅ A
⎝
⎠ ⎝
⎠

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) Vl << 5) L << so hl = 0
Available data

D2 = 25⋅ mm

r = 0.02⋅ D2

D3 = 50⋅ mm

r = 0.5⋅ mm

z1 = 2.5⋅ m

ρ = 999 ⋅

kg
3

m
Knozzle = 0.28

For a rounded edge, we choose the first value from Table 8.2

Hence for the nozzle case, between the free surface (Point 1) and the exit (2) the energy equation becomes

g ⋅ z1 −

V2

2

V2

2

= Knozzle⋅
2

2

2 ⋅ g ⋅ z1

Solving for V 2

V2 =

(1 + Knozzle)

Hence

V2 =

2 × 9.81⋅

m
2

× 2.5⋅ m ×

s
Q = V2 ⋅ A2

Q = 6.19⋅

m
s

1

m
V2 = 6.19
s

( 1 + 0.28)
×

π
4

× ( 0.025 ⋅ m)

2

3
−3m

Q = 3.04 × 10

s

Q = 3.04

L

When a small piece of pipe is added the energy equation between the free surface (Point 1) and the exit (3) becomes

g ⋅ z1 −

From continuity

V3
2

2

V2

= Knozzle⋅
2

A2
V3 = V2 ⋅
= V2 ⋅ AR
A3

2

V2

+ Ke⋅
2

2

s

V2 =

Solving for V 2

2 ⋅ g ⋅ z1

⎛ AR2 + K
⎞
nozzle + Ke⎠
⎝
2

⎛ D2 ⎞ ⎛ 25 ⎞ 2
AR =
=⎜
=⎜
= 0.25
A3
⎝ D3 ⎠ ⎝ 50 ⎠
A2

We need the AR for the sudden expansion

AR = 0.25

Ke = 0.6

From Fig. 8.15 for AR = 0.25

V2 =

V2 =

Hence

2 ⋅ g ⋅ z1

⎛ AR2 + K
⎞
nozzle + Ke⎠
⎝

2 × 9.81⋅

m
2

× 2.5⋅ m ×

s
Q = V2 ⋅ A2

Q = 7.21⋅

m
s

×

π
4

× ( 0.025 ⋅ m)

1

m
V2 = 7.21
s

(0.252 + 0.28 + 0.6)

3
−3m

2

Q = 3.54 × 10
∆Q

Comparing results we see the flow increases from 3.04 L/s to 3.54 L/s

Q

=

s

3.54 − 3.04
3.04

Q = 3.54

= 16.4⋅ %

The flow increases because the effect of the pipe is to allow an exit pressure at the nozzle LESS than atmospheric!
The minimum pressure point will now be at Point 2 (it was atmospheric before adding the small pipe). The energy equation
between 1 and 2 is
2
2
⎛⎜ p
V2 ⎞
V2
2
g ⋅ z1 − ⎜
+
= Knozzle⋅
2 ⎠
2
⎝ρ

Solving for p 2

Hence

2
⎡⎢
V2
p 2 = ρ⋅ ⎢g ⋅ z1 −
⋅ ( Knozzle +
2
⎣

p 2 = 999 ⋅

kg
3

m

⎡

m

⎢
⎣

s

× ⎢9.81⋅

2

⎥⎤

)⎦

1⎥

× 2.5⋅ m −

1
2

× ⎛⎜ 7.21⋅

⎝

m⎞
s

⎠

2

⎤

lbf ⋅ s

⎥
⎦

slug⋅ ft

× ( 0.28 + 1 )⎥ ×

2

p 2 = −8.736 ⋅ kPa

If the flow were frictionless the the two loss coeffcients would be zero. Instead of

Instead of

V2 =

2 ⋅ g ⋅ z1

⎛ AR2 + K
⎞
nozzle + Ke⎠
⎝

we'd have

If V2 is larger, then p2, through Bernoulli, would be lower (more negative)

V2 =

2 ⋅ g ⋅ z1
2

AR

which is larger

L
s

Problem 8.115

[Difficulty: 2]

Problem 8.116

[Difficulty: 4]

Problem 8.117

Given:

Data on water flow from a tank/tubing system

Find:

Minimum tank level for turbulent flow

[Difficulty: 3]

Solution:
Basic equations:

2
2
⎞ ⎛⎜ p
⎞
⎛⎜ p
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1 2
1
2 2
2 = h lT =
⎝
⎠ ⎝ρ
⎠

Re =

f =

ρ⋅ V⋅ D
μ

64

2

hl = f ⋅

(8.36)

L V
⋅
D 2

hl +

major

∑

h lm (8.29)

minor

2

h lm = K⋅

(8.34)

(Laminar)
2

g ⋅ d − α⋅

This can be solved expicitly for height d, or solved using Solver

V

(8.40a)

2

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

Re

The energy equation (Eq. 8.29) becomes

∑

V

2

2

= f⋅

2

L V
V
⋅
+ K⋅
D 2
2

h lm = f ⋅

(8.37)

Le V2
(8.40b)
⋅
D 2
(Turbulent)

Problem 8.118

[Difficulty: 2]

Problem 8.119

Given:

Data on water flow from a tank/tubing system

Find:

Minimum tank level for turbulent flow

[Difficulty: 3]

Solution:
Basic equations:

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
⎜ ρ + α1⋅ 2 + g⋅ z1 − ⎜ ρ + α2⋅ 2 + g⋅ z2 = h lT =
⎝
⎠ ⎝
⎠

Re =

2

ρ⋅ V⋅ D

hl = f ⋅

μ

∑

hl +

major

∑

h lm (8.29)

minor

2

L V
⋅
D 2

h lm = K ⋅

(8.34)

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

(8.37)

V

h lm = f ⋅

(8.40a)

2

Le V2
(8.40b)
⋅
D 2

(Turbulent)

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) Velocity at free surface is <<
The available data is

D = 7.5⋅ mm

L = 500 ⋅ mm

From Table A.8 at 10oC

ρ = 1000

− 3 N⋅ s

kg

μ = 1.3⋅ 10

3

m
Re = 10000

From

Re =

Kent = 0.5

ρ⋅ V⋅ D

Re =

μ

π
4

Hence

V =

π⋅ μ⋅ D⋅ Re

2

4⋅ ρ

V = 1.73

⎛ π⋅ D2 ⎞
⎜
⎝ 4 ⎠
f

Q =

⋅D

Q

1

Assuming a smooth tube

or

= −2 ⋅ log⎛⎜

⎞
⎝ Re⋅ f ⎠
2.51

so

m
s

2

2

V

⋅ ⎛⎜ f ⋅

L

+ Kent + Kexit⎞

Solving for d

d =

FOR r > 0.15D)

Kent = 0.04 (Table 8.2)

2⋅ g

⎝ D

⎠

3
−5m

Q = 7.66 × 10

f = 0.0309

g⋅ d = f ⋅

The energy equation (Eq. 8.29) becomes

2

m

Kexit = 1

(Table 8.2)

ρ⋅ Q⋅ D

⋅

2

2

L V
V
V
⋅
+ Kent⋅
+ Kexit ⋅
D 2
2
2

d = 545 ⋅ mm
d = 475 ⋅ mm

s

Q = 0.0766⋅

l
s

Problem 8.120

Given:

Data on a tube

Find:

"Resistance" of tube for flow of kerosine; plot

[Difficulty: 4]

Solution:
The basic equations for turbulent flow are
2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1 2
1
2 2
2 = hl
⎝
⎠ ⎝ρ
⎠
⎛ e
⎞
2
⎜ D
L V
1
2.51
(8.34)
hl = f ⋅ ⋅
+
= −2.0⋅ log ⎜
D 2
f
⎝ 3.7 Re⋅ f ⎠

The given data is

L = 250 ⋅ mm

From Fig. A.2 and Table A.2

μ = 1.1 × 10

(8.37)

D = 7.5⋅ mm

− 3 N⋅ s

⋅

ρ = 0.82 × 990 ⋅

2

m
For an electrical resistor

(8.29)

kg
3

= 812 ⋅

m

kg

(Kerosene)

3

m

V = R⋅ I

(1)

Simplifying Eqs. 8.29 and 8.34 for a horizontal, constant-area pipe

⎛
⎜
⎜
2
p1 − p2
L V
L ⎝
= f⋅ ⋅
= f⋅ ⋅
ρ

D 2

D

⎞

Q
π
4

2

2

⋅D

⎠

∆p =

or

2

8 ⋅ ρ⋅ f ⋅ L
2

5

2

⋅Q

(2)

π ⋅D

By analogy, current I is represented by flow rate Q, and voltage V by pressure drop Δp . Comparing Eqs. (1) and (2), the
"resistance" of the tube is

R=

∆p
Q

=

8 ⋅ ρ⋅ f ⋅ L⋅ Q
2

5

π ⋅D

The "resistance" of a tube is not constant, but is proportional to the "current" Q! Actually, the dependence is not quite linear,
because f decreases slightly (and nonlinearly) with Q. The analogy fails!

The analogy is hence invalid for

Re > 2300

or

ρ⋅ V⋅ D
μ

> 2300

ρ⋅
Writing this constraint in terms of flow rate

Q
π
4

⋅D
2

⋅D
μ

> 2300

or

Q>

2300⋅ μ⋅ π⋅ D
4⋅ ρ
3
−5m

Q = 1.84 × 10

Flow rate above which analogy fails

s

The plot of "resistance" versus flow rate cab be done in Excel.

"Resistance" of a Tube versus Flow Rate

9

"R"
3
(10 Pa/m /s)

1.E+01

1.0E-05

1.0E-04

1.0E-03

1.E-01

1.E-03
3

Q (m /s)

1.0E-02

Problem 8.121

Given:

Data on tube geometry

Find:

Plot of reservoir depth as a function of flow rate

[Difficulty: 3]

Solution:
Basic equations:

2
2
⎞ ⎛⎜ p
⎞
⎛⎜ p
V1
V2
1
2
⎜ ρ + α1⋅ 2 + g ⋅ z1 − ⎜ ρ + α2 ⋅ 2 + g⋅ z2 = h lT =
⎝
⎠ ⎝
⎠

Re =

f =

ρ⋅ V⋅ D
μ

64

2

hl = f ⋅

(8.36)

L V
⋅
D 2

(Laminar)

g ⋅ d − α⋅

This can be solved expicitly for height d, or solved using Solver
2

In Excel:

V

2⋅ g

⋅ ⎜⎛ α + f ⋅

⎝

L
D

+ K⎞

⎠

major

∑

h lm (8.29)

minor

V

(8.40a)

2

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝
2

d=

hl +

2

h lm = K⋅

(8.34)

Re

The energy equation (Eq. 8.29) becomes

∑

V

2

2

= f⋅

2

L V
V
⋅
+ K⋅
D 2
2

h lm = f ⋅

(8.37)

Le V2
(8.40b)
⋅
D 2
(Turbulent)

Required Reservoir Head versus Flow Rate
75

50
d (m)
25

0
0

2

4

6
Q (L/min)

8

10

12

Problem 8.122

Given:

Flow of oil in a pipe

Find:

Percentage change in loss if diameter is reduced

Solution:
Basic equations

Available data

2

hl = f ⋅

ν = 7.5⋅ 10
V=

Here

Re =

Then

L V
⋅
D 2

Q
A

f =

− 4 ft

⋅

s

2

V =

π⋅ D

V⋅ D

4
π

D = 1 ⋅ in

× 0.1⋅

Re = 18.3⋅

ν

hl = f ⋅

Laminar

Re

L = 100 ⋅ ft

2

The flow is LAMINAR

⎛ e
⎞
⎜
1
2.51
D
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

Turbulent

2

4⋅ Q

=

64

[Difficulty: 3]

ft
s

ft

3

×

s

1

×

12

⎛ 12 ⋅ 1 ⎞
⎜ 1 ft
⎝
⎠

hl =

2

V = 18.3⋅

7.5 × 10

−4

⋅ ft

ft

3

s

s
Re = 2033

2

2
⎛ 18.3 ft ⎞
⎜
s⎠
64
100
⎝
hl =
×
×
2033
1
2

64 L V
⋅ ⋅
Re D 2

Q = 0.100

ft

s

⋅ ft ×

2

L V
⋅
D 2

Q = 45⋅ gpm

h l = 6326⋅

ft

2

2

s

12

D = 0.75⋅ in

When the diameter is reduced to

V=

Re =

Q
A

4⋅ Q

=

2

π⋅ D

V⋅ D

V =

4
π

× 0.1⋅

Re = 32.6⋅

ν

The flow is TURBULENT For drawn tubing, from Table 8.1

Given

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

s

3

s

×

×

⎛ 12 ⋅ 1 ⎞
⎜ 0.75 ft
⎝
⎠

0.75
12

2

V = 32.6⋅

ft
s

s

⋅ ft ×

7.5 × 10

−4

⋅ ft

2

L V
⋅
D 2

Re = 2717

e = 0.000005⋅ ft

f = 0.0449
2
⎛ 32.6 ft ⎞
⎜
s⎠
100
⎝
h l = .0449 ×
×
2
0.75

2

hl = f ⋅

ft

ft

12
4

The increase in loss is

3.82 × 10 − 6326
6326

= 504 ⋅ %

4 ft

h l = 3.82 × 10 ⋅

This is a HUGH increase! The main increase is because the
diameter reduction causes the velocity to increase; the loss
goes as V2, and 1/D, so it increases very rapidly

2

2

s

Problem 8.123

Given:

Data on water system

Find:

Minimum tank height; equivalent pressure

[Difficulty: 4]

Solution:
2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1 2
1
2 2
2 = h lT =
⎝
⎠ ⎝ρ
⎠

Basic equations:

2

ρ⋅ V⋅ D

Re =

hl = f ⋅

μ

∑

hl +

major

∑

(8.29)
h lm

minor

2

L V
⋅
D 2

h lm = K⋅

(8.34)

⎛ e
⎞
⎜
D
1
2.51
(8.37)
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

V

(8.40a)

2

h lm = f ⋅

Le V2
(8.40b)
⋅
D 2

(Turbulent)

Available data

D = 7.5⋅ mm

L = 1⋅ m

Re = 100000

From Section 8.7

Kent = 0.5

Lelbow45 = 16⋅ D

Lelbow90 = 30⋅ D

LGV = 8 ⋅ D

Lelbow45 = 0.12 m

Lelbow90 = 0.225 m

LGV = 0.06 m

From Table A.8 at 10oC

ρ = 1000

Q =

π⋅ μ⋅ D⋅ Re
4⋅ ρ

μ = 1.3⋅ 10

3

Q = 7.66 × 10

d =

⎛
2⋅ g ⎝
V

V

2⋅ g

⋅⎜1 + f ⋅

IF INSTEAD the reservoir was pressurized

Q = 0.766

s

2

d−

2

Hence

⋅

2

m
3
−4m

The energy equation becomes

f = 0.0180

− 3 N⋅ s

kg
m

Then

and so

L
D

V =

s

Q

V = 17.3

⎛ π⋅ D2 ⎞
⎜
⎝ 4 ⎠

m
s

Lelbow90
Lelbow45
LGV ⎞
⎛ L
+ 2⋅ f ⋅
+ 2⋅ f ⋅
+ f⋅
2⋅ g ⎝ D
D
D
D ⎠
2

=

l

V

+ 2⋅ f ⋅

⋅⎜f ⋅

Lelbow90
D

+ 2⋅ f ⋅

∆p = ρ⋅ g ⋅ d

Lelbow45
D

+ f⋅

LGV ⎞
D

∆p = 781 ⋅ kPa

⎠

d = 79.6⋅ m
Unrealistic!
which is feasible

at this Re

Problem 8.124

Given:

Flow from pump to reservoir

Find:

Pressure at pump discharge

Solution:

[Difficulty: 2]

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = h lT
2
2
⎝
⎠ ⎝ρ
⎠

Basic equations

2

V1
L V1
h lT = h l + h lm = f ⋅ ⋅
+ Kexit ⋅
D 2
2

2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) V2 <<
Hence the energy equation between Point 1 and the free surface (Point 2) becomes
2
2
⎛ p1 V2 ⎞
L V
V
⎜ +
− ( g ⋅ z2 ) = f ⋅ ⋅
+ Kexit ⋅
D 2
2
2 ⎠
⎝ρ

⎛

V

⎝

2

Solving for p 1

p 1 = ρ⋅ ⎜ g ⋅ z2 −

From Table A.7 (68oF)

ρ = 1.94⋅

slug
ft

Re =

2

3

V⋅ D
ν

For commercial steel pipe e = 0.00015 ⋅ ft

2⎞

2

+ f⋅

L V
V
⋅
+ Kexit ⋅
D 2
2

ν = 1.08 × 10
Re = 10⋅

ft

Kexit = 1.0

so we find

ft

4 ⋅ mile

ft

3

⎡

⎢
⎣

2

s

× 50⋅ ft + .0150 ×

12

s
s

⋅ ft ×

−5

1.08 × 10

⋅ ft

Re = 6.94 × 10

2

e

so

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

For the exit

× ⎢32.2⋅

9

2

D

Given

slug

⋅

(Table 8.1)

Flow is turbulent:

p 1 = 1.94⋅

s

×

− 5 ft

⎠

0.75⋅ ft

p 1 = ρ⋅ ⎜ g ⋅ z2 + f ⋅

⎝

5280⋅ ft
1mile

×

1
2

× ⎛⎜ 10⋅

⎝

= 0.000200

2⎤

2⎞

L V
⋅
D 2

⎠

2
⎥ × lbf ⋅ s
s ⎠ ⎥ slug⋅ ft
⎦

ft ⎞

Turbulent

f = 0.0150

⎛

×

5

4 lbf

p 1 = 4.41 × 10 ⋅

ft

2

p 1 = 306 ⋅ psi

Problem 8.125

[Difficulty: 3]

Given: Data on reservoir/pipe system

Find: Plot elevation as a function of flow rate; fraction due to minor losses
Solution:
L =
D =
e/D =
K ent =
K exit =

250
50
0.003
0.5
1.0

Required Head versus Flow Rate
m
mm

200

150
z (m)

 = 1.01E-06 m2/s
3

Q (m /s) V (m/s)
0.0000
0.0005
0.0010
0.0015
0.0020
0.0025
0.0030
0.0035
0.0040
0.0045
0.0050
0.0055
0.0060
0.0065
0.0070
0.0075
0.0080
0.0085
0.0090
0.0095
0.0100

0.000
0.255
0.509
0.764
1.02
1.27
1.53
1.78
2.04
2.29
2.55
2.80
3.06
3.31
3.57
3.82
4.07
4.33
4.58
4.84
5.09

Re
0.00E+00
1.26E+04
2.52E+04
3.78E+04
5.04E+04
6.30E+04
7.56E+04
8.82E+04
1.01E+05
1.13E+05
1.26E+05
1.39E+05
1.51E+05
1.64E+05
1.76E+05
1.89E+05
2.02E+05
2.14E+05
2.27E+05
2.40E+05
2.52E+05

100

f

z (m) h lm /h lT

0.000
0.0337 0.562
0.0306 2.04
0.0293 4.40
0.0286 7.64
0.0282 11.8
0.0279 16.7
0.0276 22.6
0.0275 29.4
0.0273 37.0
0.0272 45.5
0.0271 54.8
0.0270 65.1
0.0270 76.2
0.0269 88.2
0.0269 101
0.0268 115
0.0268 129
0.0268 145
0.0267 161
0.0267 179

50

0.882%
0.972%
1.01%
1.04%
1.05%
1.07%
1.07%
1.08%
1.09%
1.09%
1.09%
1.10%
1.10%
1.10%
1.10%
1.11%
1.11%
1.11%
1.11%
1.11%

0
0.0000

0.0025

0.0050
3
Q (m /s)

0.0075

0.0100

Minor Loss Percentage versus Flow Rate
1.2%

1.1%
h lm /h lT
1.0%

0.9%

0.8%
0.0000

0.0025

0.0050
3
Q (m /s)

0.0075

0.0100

Problem 8.126

Given:

Flow through three different layouts

Find:

Which has minimum loss

Solution:
Basic equations

[Difficulty: 3]

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
2
V1
V2
1
L V
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
h
=
h
+
h
f
⋅
⋅
−
=
h
=
+
⎜ρ
⎜
1
2
l
lm
lT lT
2
2
D 2
⎝
⎠ ⎝ρ
⎠

∑
Minor

⎛ Le V2 ⎞
⎜f ⋅ ⋅
⎝ D 2⎠

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1 4) Ignore additional length of elbows

For a flow rate of

For water at 20oC

Q = 350 ⋅

L

V=

min

ν = 1.01 × 10

For Case (a)

=

A

⋅

4⋅ Q
2

Re =

s

V⋅ D
ν

e

e = 0.15⋅ mm

2

D

2

p1

s

0.001 ⋅ m
1⋅ L

× 0.05⋅ m ×

2

1 ⋅ min

×

×

60⋅ s

⎛ 1 ⎞ V = 2.97 m
⎜ 0.05⋅ m
s
⎝
⎠

s
−6

1.01 × 10

2

Re = 1.47 × 10

⋅m

−4

= 6.56 × 10

L = 5.81 m
2

p2

m

min

3

×

f = 0.0201

5.25 + 2.5 ⋅ m

Hence the energy equation is

π

L

× 350 ⋅

Re = 2.97⋅

⎛ e
⎞
⎜
1
2.51
D
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝
L =

4

V =

π⋅ D

2
−6 m

Flow is turbulent. From Table 8.1

Given

Q

Two 45o miter bends (Fig. 8.16), for each

Le
D

= 13

2

Le V
L V
−
= f⋅ ⋅
+ 2⋅ f ⋅ ⋅
ρ
ρ
D 2
D 2

Le ⎞
⎛L
∆p = p 1 − p 2 = ρ⋅ f ⋅
⋅ ⎜ + 2⋅
2 ⎝D
D⎠
2

Solving for Δp

V

∆p = 1000⋅

kg
3

× .0201 × ⎛⎜ 2.97⋅

⎝

m
For Case (b)

L = ( 5.25 + 2.5) ⋅ m

Hence the energy equation is

p1
ρ

−

p2
ρ

= f⋅

m⎞
s

⎠

2

×

2
⎛ 5.81 + 2⋅ 13⎞ × N⋅ s
⎜
⎝ 0.05
⎠ kg⋅ m

L = 7.75 m
2
Le V2
L V
⋅
+ f⋅ ⋅
D 2
D 2

One standard 90o elbow (Table 8.4)

∆p = 25.2⋅ kPa
Le
D

= 30

5

Solving for Δp

2
Le ⎞
V ⎛L
∆p = p 1 − p 2 = ρ⋅ f ⋅
⋅⎜ +
2 ⎝D
D⎠

∆p = 1000⋅

kg
3

× .0201 × ⎛⎜ 2.97⋅

⎝

m
For Case (c)

Hence the energy equation is

L = ( 5.25 + 2.5) ⋅ m
p1
ρ

Solving for Δp

−

p2
ρ

m⎞
s

2

×

⎠

L = 7.75 m

2

2
⎛ 7.75 + 30⎞ × N⋅ s
⎜
⎝ 0.05
⎠ kg⋅ m

Three standard 90o elbows, for each

∆p = 32.8⋅ kPa
Le
D

= 30

2

Le V
L V
⋅
+ 3⋅ f ⋅ ⋅
D 2
D 2

= f⋅

2
Le ⎞
V ⎛L
∆p = p 1 − p 2 = ρ⋅ f ⋅
⋅ ⎜ + 3⋅
2 ⎝D
D⎠

∆p = 1000⋅

kg
3

m

× .0201 × ⎛⎜ 2.97⋅

⎝

Hence we conclude Case (a) is the best and Case (c) is the worst

m⎞
s

⎠

2

×

2
⎛ 7.75 + 3 × 30⎞ × N⋅ s
⎜
⎝ 0.05
⎠ kg⋅ m

∆p = 43.4⋅ kPa

Problem 8.127

Given:

Flow through rectangular duct

Find:

Pressure drop

Solution:
Basic equations

[Difficulty: 2]

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
2
V1
V2
1
L V
2
⎜ ρ + α⋅ 2 + g⋅ z1 − ⎜ ρ + α⋅ 2 + g⋅ z2 = h lT h lT = hl + h lm = f ⋅ D ⋅ 2 +
⎝
⎠ ⎝
⎠

∑
Minor

⎛ Le V2 ⎞
⎜f ⋅ ⋅
⎝ D 2⎠

4 ⋅ a⋅ b
Dh =
2⋅ (a + b)
Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1

Available data

Q = 1750⋅ cfm

At 50oF, from Table A.9 ρ = 0.00242 ⋅

L = 1000⋅ ft
slug
ft

Hence

1
f

Hence

or, in in water

V = 15.6⋅

ρ⋅ V⋅ Dh

2.51

⎞

⎝ Re⋅ f ⎠

L
Dh

∆p
ρw⋅ g

⋅

ft

5

so

V

2

∆p = 0.031 ⋅ psi

h = 0.848 ⋅ in

a = 0.75⋅ ft
ρw = 1.94⋅

slug
ft

and

2

⋅ ρ⋅

2

s

Re = 1.18 × 10

μ

= −2 ⋅ log⎛⎜

− 7 lbf ⋅ s

ft

a⋅ b

∆p = f ⋅

h =

3

Q

V =

Re =

For a smooth duct

μ = 3.69⋅ 10

b = 2.5⋅ ft

f = 0.017

3

4 ⋅ a⋅ b
Dh =
2⋅ ( a + b)

Dh = 1.15⋅ ft

Problem 8.128

Given:

Data on circuit

Find:

Plot pressure difference for a range of flow rates

[Difficulty: 3]

Solution:
2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
⎜ ρ + α1⋅ 2 + g ⋅ z1 − ⎜ ρ + α2 ⋅ 2 + g⋅ z2 = h lT =
⎝
⎠ ⎝
⎠

Basic equations:

Re =

f =

ρ⋅ V⋅ D

64

μ

2

hl = f ⋅

(8.36)

L V
⋅
D 2

∑

hl +

major

∑

h lm (8.29)

minor

2

h lm = K⋅

(8.34)

(Laminar)

Re

V

h lm = f ⋅

(8.40a)

2

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

Le V2
(8.40b)
⋅
D 2

(8.37)

(Turbulent)

The energy equation (Eq. 8.29) becomes for the circuit ( 1 = pump inlet, 2 = pump outlet)
p1 − p2
ρ
In Excel:

2

= f⋅

2

2

L V
V
V
⋅
+ 4 ⋅ f ⋅ Lelbow⋅
+ f ⋅ Lvalve⋅
D 2
2
2

2

or

∆p = ρ⋅ f ⋅

V

2

⎛L

⋅⎜

⎝D

+ 4⋅

Lelbow
D

+

Lvalve ⎞
D

⎠

Required Pressure Head for a Circuit
1200

Dp (kPa)

1000
800
600
400
200
0
0.00

0.01

0.02

0.03
Q (m3/s)

0.04

0.05

0.06

0.07

Problem 8.129

[Difficulty: 3]

c
h

LA
d

e

LB

Given:

Pipe friction experiment

Find:

Required average speed; Estimate feasibility of constant head tank; Pressure drop over 5 m

Solution:
Basic equations

2
2
 p
  p

V1
V2
1
2
 ρ  α 2  g z1   ρ  α 2  g z2  h lT

 


2

LA VA
LB VB
h lT  h A  h B  fA

 fB

DA 2
DB 2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1 4) Ignore minor losses
We wish to have

ReB  10

Hence, from

ReB 

5

VB DB

VB 

ν

2
6 m

5

VB  10  1.01  10

We will also need

 DB 
VA  VB 
 DA 
ReA 

VA DA
ν



s

ReB ν

and for water at 20oC

DB


1

m
VA  4.04 
s

 2.5 
 5
 

2

m
ReA  1.01  0.05 m 
s

m
VA  1.01
s
s
1.01  10

4

6

2

m

ReA  5  10

Both tubes have turbulent flow
For PVC pipe (from Googling!) e  0.0015 mm

For tube A

For tube B

Given

Given

2
6 m

m
VB  4.04
s

0.025  m

2

ν  1.01  10


 e

D
1
2.51 
A
 2.0 log

 3.7
fA
ReA fA


 e


D
1
2.51 
B
 2.0 log

 3.7
fB
ReB fB



fA  0.0210

fB  0.0183



s

2

Applying the energy equation between Points 1 and 3



VB



g  LA  h 

LA 

2

2



g 

1
2

LA 

2

2

LA VA
LB VB
 fA

 fB

DA 2
DB 2

LB 

  1  fB
 g h
2
DB



VB
Solving for LA

2

2

fA VA

DA 2

  4.04



m
s

2



9.81



  1  0.0183 

  9.81 m  0.5 m
2
0.025 
s
20



m
2



0.0210
2

s



1
0.05 m

  1.01



m
s

2

LA  12.8 m



Most ceilings are about 3.5 m or 4 m, so this height is IMPRACTICAL
Applying the energy equation between Points 2 and 3
2
2
2
 p
VB   p 3
VB 
2
L VB
 ρ  2   ρ  2  fB D  2

 

B

∆p  1000

kg
3

m



0.0183
2



5 m
0.025  m

  4.04



L

m
s



2

2



VB

∆p  ρ fB

DB 2

or

N s

kg m

∆p  29.9 kPa

2

Problem 8.130

[Difficulty: 3] Part 1/2

Problem 8.130

[Difficulty: 3] Part 2/2

Problem 8.131

Given:

Same flow rate in various ducts

Find:

Pressure drops of each compared to round duct

Solution:
Basic equations

[Difficulty; 3]

2
2
⎞ ⎛⎜ p
⎞
⎛⎜ p
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = hl
2
2
⎝
⎠ ⎝ρ
⎠

4⋅ A
Dh =
Pw

e = 0

(Smooth)

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1 4) Ignore minor losses
The energy equation simplifies to
2

L V
∆p = p 1 − p 2 = ρ⋅ f ⋅
⋅
Dh 2

But we have

From Table A.9

Hence

For a round duct

For a rectangular duct

But

Q

V=

V = 1250⋅

A

ν = 1.62 × 10

Re =

V⋅ Dh

− 4 ft

⋅

3

min

×

1 ⋅ min
60⋅ s

b

ft
s

×

ar

2

h =

b⋅ h
ar

2

slug

= ρ⋅

f

2

⋅

V

Dh 2

V = 20.8⋅

ft
s

at 68oF

3

s

5

× Dh = 1.284 × 10 ⋅ Dh
−4 2
1.62 × 10 ⋅ ft
4

Dh =

π

so

1 ⋅ ft

ft

π

4⋅ A
4⋅ b⋅ h
2 ⋅ h ⋅ ar
Dh =
=
=
Pw
2⋅ ( b + h)
1 + ar
h=

1

×

ρ = 0.00234 ⋅

s

4⋅ A

Dh = D =

L

2

Re = 20.8⋅

ν

ft

∆p

or

=

A

× 1 ⋅ ft

2

where

or

ar

(Dh in ft)

Dh = 1.13⋅ ft

ar =
h=

b
h
A

and

ar

2 ⋅ ar
Dh =
⋅ A
1 + ar

The results are:
Round

Given

ar = 1

Dh = 1.13⋅ ft

5 1
Re = 1.284 × 10 ⋅ ⋅ Dh
ft

⎛ e
⎞
⎜
D
h
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠
2 ⋅ ar
Dh =
⋅ A
1 + ar

f = 0.0167

Dh = 1 ⋅ ft

Re = 1.45 × 10

∆p
L

= ρ⋅

f

5

2

⋅

V

Dh 2

∆p
L

= 7.51 × 10

5 1
5
Re = 1.284 × 10 ⋅ ⋅ Dh Re = 1.28 × 10
ft

− 3 lbf

⋅

ft

3

Given

⎛ e
⎞
⎜
D
h
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

f = 0.0171

∆p
L

= ρ⋅

f

2

⋅

∆p

V

Dh 2

L

8.68 × 10

Hence the square duct experiences a percentage increase in pressure drop of

= 8.68 × 10

−3

− 3 lbf

⋅

ft

3

−3

− 7.51 × 10

= 15.6⋅ %

−3

7.51 × 10
ar = 2

Given

2 ⋅ ar
Dh =
⋅ A
1 + ar

Dh = 0.943 ⋅ ft

⎛ e
⎞
⎜
Dh
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

5 1
Re = 1.284 × 10 ⋅ ⋅ Dh
ft

f = 0.0173

∆p
L

Re = 1.21 × 10

= ρ⋅

f

2

⋅

∆p

V

Dh 2

9.32 × 10

Hence the 2 x 1 duct experiences a percentage increase in pressure drop of

5

= 9.32 × 10

L
−3

− 3 lbf

ft

Given

2 ⋅ ar
Dh =
⋅ A
1 + ar

Dh = 0.866 ⋅ ft

= 24.1⋅ %

−3

⎛ e
⎞
⎜
Dh
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

5 1
Re = 1.284 × 10 ⋅ ⋅ Dh
ft

f = 0.0176

∆p
L

Re = 1.11 × 10

= ρ⋅

f

2

⋅

5

∆p

V

Dh 2

L

= 0.01⋅

lbf
ft

3

−3

Hence the 3 x 1 duct experiences a percentage increase in pressure drop of

0.01 − 7.51 × 10
−3

7.51 × 10
Note that f varies only about 7%; the large change in Δp/L is primarily due to the 1/Dh factor

3

−3

− 7.51 × 10

7.51 × 10

ar = 3

⋅

= 33.2⋅ %

Problem 8.132

Given:

Flow down corroded iron pipe

Find:

Pipe roughness; Power savings with new pipe

[Difficulty: 4]

Solution:
2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = hl
2
2
⎝
⎠ ⎝ρ
⎠

Basic equations

2

hl = f ⋅

L V
⋅
D 2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1 4) No minor losses
3

Available data

D = 50⋅ mm

∆z = 40⋅ m

L = ∆z

p 1 = 750⋅ kPa

p 2 = 250⋅ kPa

Q = 0.015⋅

m
s

ρ = 999⋅

kg
3

m

Hence the energy equation becomes
2
⎛ p1
⎞ ⎛ p2
⎞
L V
⎜ + g ⋅ z1 − ⎜ + g ⋅ z2 = f ⋅ ⋅
D 2
⎝ρ
⎠ ⎝ρ
⎠

Here

V=

Q

=

A

4⋅ Q

V=

2

π⋅ D

4
π

3

× 0.015⋅

m
s

×

1
( 0.05⋅ m)

V = 7.64

2

m
s

In this problem we can compute directly f and Re, and hence obtain e/D

Solving for f

f =

⎛ p1 − p2

2⋅ D
2

L⋅ V
f = 2×

⋅⎜

⎝

0.05
40

From Table A.8 (20oF) ν = 1.01 × 10

Flow is turbulent:

ρ

×

(

+ g z1 − z2

⎞

)⎠

3
2
⎤
kg⋅ m
m
⎛ s ⎞ × ⎡⎢( 750 − 250 ) × 103⋅ N × m
×
+ 9.81⋅ × 40⋅ m⎥ f = 0.0382
⎜ 7.64⋅ m
1000⋅ kg
2
2
⎥
2
⎝
⎠ ⎢⎣
s ⋅N
s
m
⎦

2
−6 m

⋅

s

Re =

⎛ e
⎞
⎜
1
D
2.51
= −2.0⋅ log ⎜
+
f
⎝ 3.7 Re⋅ f ⎠

V⋅ D
ν

Re = 7.64⋅

m
s

× 0.05⋅ m ×

s
−6

1.01 × 10

2

⋅m

Re = 3.78 × 10

5

Solving for e

New pipe (Table 8.1)

⎛ −
⎜
e = 3.7⋅ D⋅ ⎜ 10
⎝

⎞

1
2⋅ f

−

e

e = 0.15⋅ mm

2.51

e

e = 0.507 mm

Re⋅ f ⎠

D

= 0.0101

= 0.003

D

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

Given

f = 0.0326

In this problem

Hence

⎡
L V
∆p = p 1 − p 2 = ρ⋅ ⎢g ⋅ z2 − z1 + f ⋅ ⋅
D 2
⎣

(

∆pnew = 1000⋅

kg
3

m
∆pold = p 1 − p 2

Compared to ∆pold = 500 ⋅ kPa we find

⎡

)

× ⎢9.81⋅

⎢
⎣

2⎤

m
2

⎥
⎦

× ( −40⋅ m) +

s

0.0326
2

×

40
0.05

× ⎛⎜ 7.64⋅

⎝

∆pold = 500 kPa
∆pold − ∆pnew
∆pold

= 26.3⋅ %

As power is ΔpQ and Q is constant, the power reduction is the same as the above percentage!

2⎤

2
⎥ × N⋅ s
s ⎠ ⎥ kg⋅ m
⎦

m⎞

∆pnew = 369 ⋅ kPa

Problem 8.133

Given:

Flow through fire hose and nozzle

Find:

Supply pressure

Solution:
Basic equations

[Difficulty: 3]

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = h lT
2
2
⎝
⎠ ⎝ρ
⎠

2

L V
h lT = h l + h lm = f ⋅ ⋅
+
D 2

∑
Minor

⎛ V2 ⎞
⎜ K⋅
⎝ 2⎠

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1 4) p 2 = p atm so p 2 = 0 gage
Hence the energy equation between Point 1 at the supply and the nozzle exit (Point n); let the velocity in the hose be V
p1
ρ

2

Vn

−

2

2

(

)

and

V=

2

From continuity

Vn =

⎛ D ⎞ ⋅V
⎜D
⎝ 2⎠

Solving for p 1

⎡⎢ L
p1 =
⋅ f ⋅ + Ke + 4⋅ Kc +
2 ⎢ D
⎣

From Table A.7 (68oF)

ρ = 1.94⋅

2

ρ⋅ V

slug
ft

Re =

For the hose

e
D

Flow is turbulent:

2

2

Vn
L V
V
= f⋅ ⋅
+ Ke + 4⋅ Kc ⋅
+ Kn ⋅
D 2
2
2

V⋅ D

Re = 15.3⋅

ν

A

=

4⋅ Q

V=

2

π⋅ D

4
π

× 0.75⋅

4
⎛ D ⎞ ⋅ 1 + K ⎥⎤
( n)⎥
⎜D
⎝ 2⎠
⎦

ν = 1.08 × 10

3

Q

ft
s

− 5 ft

×

⋅

3
12

ft

3

s

1

×

⎛ 1 ⋅ ft ⎞
⎜4
⎝ ⎠

2

V = 15.3⋅

ft
s

2

s
s

⋅ ft ×

−5

1.08 × 10

⋅ ft

2

Re = 3.54 × 10

5

Turbulent

= 0.004

⎞
⎛ e
⎜
1
2.51
D
= −2.0⋅ log ⎜
+
3.7
f
Re⋅ f ⎠
⎝

Given

p1 =

1
2

× 1.94⋅

slug
ft

3

4 lbf

p 1 = 2.58 × 10 ⋅

ft

2

× ⎛⎜ 15.3⋅

⎝

ft ⎞
s⎠

2

⎡⎢
⎢
⎢⎣

× 0.0287 ×

p 1 = 179 ⋅ psi

250
1
4

f = 0.0287

+ 0.5 + 4 × 0.5 +

4
2
⎛ 3 ⎞ × ( 1 + 0.02)⎤⎥ × lbf ⋅ s
⎜
⎥ slug⋅ ft
⎝1⎠
⎥⎦

Problem 8.134

Given:

Proposal for bench top experiment

Find:

Design it; Plot tank depth versus Re

[Difficulty: 4]

Solution:
Basic equations:

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1 2
1
2 2
2 = h lT =
⎝
⎠ ⎝ρ
⎠

Re =

f =

ρ⋅ V⋅ D
μ
64

2

hl = f ⋅

(8.34)

(8.36)

(Laminar)

The energy equation (Eq. 8.29) becomes
2

2

2

L V
V
g ⋅ H − α⋅
= f⋅ ⋅
+ K⋅
2
D 2
2
This can be solved explicity for reservoir height H
2

H=
In Excel:

V

2⋅ g

⋅ ⎜⎛ α + f ⋅

⎝

L
D

+ K⎞

⎠

major

hl +

∑

h lm

(8.29)

minor

2

L V
⋅
D 2

Re

V

∑

h lm = K ⋅

V

(8.40a)

2

⎛ e
⎞
⎜ D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

h lm = f ⋅

(8.37)

Le V2
(8.40b)
⋅
D 2
(Turbulent)

Computed results:
Q (L/min) V (m/s)
0.200
0.225
0.250
0.275
0.300
0.325
0.350
0.375
0.400
0.425
0.450

0.472
0.531
0.589
0.648
0.707
0.766
0.825
0.884
0.943
1.002
1.061

Re

Regime

f

H (m)

1413
1590
1767
1943
2120
2297
2473
2650
2827
3003
3180

Laminar
Laminar
Laminar
Laminar
Laminar
Laminar
Turbulent
Turbulent
Turbulent
Turbulent
Turbulent

0.0453
0.0403
0.0362
0.0329
0.0302
0.0279
0.0462
0.0452
0.0443
0.0435
0.0428

0.199
0.228
0.258
0.289
0.320
0.353
0.587
0.660
0.738
0.819
0.904

The flow rates are realistic, and could easily be measured using a tank/timer system
The head required is also realistic for a small-scale laboratory experiment
Around Re = 2300 the flow may oscillate between laminar and turbulent:
Once turbulence is triggered (when H > 0.353 m), the resistanc e to flow increases
requiring H >0.587 m to maintain; hence the flow reverts to la minar, only to trip over
again to turbulent! This behavior will be visible: the exit flow will switch back and
forth between smooth (laminar) and chaotic (turbulent)

Required Reservoir Head
versus Reynolds Number
1.00

0.75

H (m)
0.50
Laminar

0.25

Turbulent

0.00
1000

1500

2000

Re

2500

3000

3500

Problem 8.135

[Difficulty: 3]

Problem 8.136

[Difficulty: 3]

Given:

Drinking of a beverage

Find:

Fraction of effort of drinking of friction and gravity

Solution:
Basic equations

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
⎜ ρ + α ⋅ 2 + g ⋅ z1 − ⎜ ρ + α ⋅ 2 + g ⋅ z2 = h l
⎝
⎠ ⎝
⎠

2

hl = f ⋅

L V
⋅
D 2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1 4) No minor losses
Hence the energy equation becomes, between the bottom of the straw (Point 1) and top (Point 2)
g ⋅ z1 −

2
⎛ p2
⎞
L V
⎜ + g ⋅ z2 = f ⋅ ⋅
D 2
⎝ρ
⎠

where p 2 is the gage pressure in the mouth

The negative gage pressure the mouth must create is therefore due to two parts

(

2

)

p grav = −ρ⋅ g ⋅ z2 − z1

p fric = −ρ⋅ f ⋅
12
Q =

Assuming a person can drink 12 fluid ounces in 5 s
Assuming a straw is 6 in long diameter 0.2 in, with roughness
V=

128

4⋅ Q

Re =

Given

Then

− 5 ft

⋅

−5

4
π

Hence the fraction due to friction is

⋅

3

s

in (from Googling!)
− 3 ft

3

s

2

×

⎛ 1 × 12⋅ in ⎞ V = 11.5⋅ ft
⎜ 0.2⋅ in 1 ⋅ ft
s
⎝
⎠

(for water, but close enough)

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝
slug
3

slug
ft

− 3 ft

Q = 2.51 × 10

2

ν

p fric = −1.94⋅

3

7.48⋅ gal

× 2.51 × 10

ft

Re = 11.5⋅

p grav = −1.94⋅

1⋅ ft

s

V⋅ D

ft
and

×

e = 5 × 10

π⋅ D

From Table A.7 (68oF) ν = 1.08 × 10

⋅ gal

5⋅ s

V =

2

L V
⋅
D 2

3

ft

× 32.2⋅

2

p fric
p fric + p grav

0.2
12

⋅ ft ×

s
1.08 × 10

4

−5

ft

Re = 1.775 × 10

2

f = 0.0272
×

s

× 0.0272 ×

s

×

1
2

6
0.2

2

⋅ ft ×

×

= 77⋅ %

1
2

lbf ⋅ s

p grav = −31.2⋅

slug⋅ ft
× ⎛⎜ 11.5⋅

⎝

lbf
ft

ft ⎞
s⎠

2

2

×

lbf ⋅ s

slug⋅ ft

and gravity is

These results will vary depending on assumptions, but it seems friction is significant!

p fric = −105 ⋅

lbf
ft

p grav
p fric + p grav

2

2

p grav = −0.217 ⋅ psi

p fric = −0.727 ⋅ psi

= 23⋅ %

Problem 8.137

Given:

Draining of swimming pool with larger hose

Find:

Flow rate and average velocity

Solution:
Basic equations

[Difficulty: 4]

2
2
⎞ ⎛⎜ p
⎞
⎛⎜ p
V1
V2
1
2
⎜ ρ + α⋅ 2 + g⋅ z1 − ⎜ ρ + α⋅ 2 + g⋅ z2 = h l
⎝
⎠ ⎝
⎠

2

2

L V
⋅
D 2

hl = f ⋅

V
h lm = Kent⋅
2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1 4) No minor losses
Available data

D = 25⋅ mm

L = 30⋅ m

e = 0.2⋅ mm

h = 3⋅ m
2

g ⋅ ( ∆z + h ) = f ⋅

Hence the energy equation becomes

Solving for V

V=

2 ⋅ g ⋅ ( ∆z + h )
f⋅

We also have

Re =

L
D

∆z = 1.5⋅ m
2

2
−6 m

Kent = 0.5

ν = 1 ⋅ 10

⋅

s

2

L V
V
V
⋅
+ Kent⋅
+
D 2
2
2

(1)

+ Kent + 1

V⋅ D

(2)

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

In addition

ν

(3)

Equations 1, 2 and 3 form a set of simultaneous equations for V, Re and f, which we can solve iteratively
Make a guess for f

f = 0.1

then

V =

2 ⋅ g ⋅ ( ∆z + h )
f⋅

using Eq 3, at this Re

V =

Re =

V⋅ D
ν

Re = 2.13 × 10

4

L
D

V = 1.37

m

V = 1.38

m

+ Kent + 1

s

Re =

V⋅ D
ν

Re = 3.41 × 10

4

Re = 3.46 × 10

4

f = 0.0371
V =

Then, repeating

2 ⋅ g ⋅ ( ∆z + h )
f⋅

f = 0.0371
Q = V⋅

π⋅ D
4

L
D

+ Kent + 1

s

which is the same as before, so we have convergence

2

The flow rate is then

s

+ Kent + 1

2 ⋅ g ⋅ ( ∆z + h )
f⋅

Using Eq 3, at this Re

D

m

f = 0.0382

Then, repeating

using Eq 3, at this Re

L

V = 0.852

3
−4m

Q = 6.79 × 10

Note that we could use Excel's Solver for this problem

s

Q = 0.679

l
s

Re =

V⋅ D
ν

Problem 8.138

Given:

Flow in horizontal pipe

Find:

Flow rate

Solution:
Basic equations

[Difficulty: 4]

2
2
⎞ ⎛⎜ p
⎞
⎛⎜ p
V1
V2
1
2
⎜ ρ + α⋅ 2 + g⋅ z1 − ⎜ ρ + α⋅ 2 + g⋅ z2 = h l
⎝
⎠ ⎝
⎠

2

hl = f ⋅

L V
⋅
D 2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1 4) No minor losses
Available data

L = 200 ⋅ m

D = 75⋅ mm

e = 2.5⋅ mm

∆p = 425 ⋅ kPa

ρ = 1000⋅

kg
3

μ = 1.76⋅ 10

− 3 N⋅ s

⋅

m

2

m

Hence the energy equation becomes
p1
ρ

Solving for V

We also have

p2

−

ρ

∆p
ρ

2

= f⋅

L V
⋅
D 2

2 ⋅ D⋅ ∆p

V=

Re =

=

V=

L⋅ ρ⋅ f
ρ⋅ V⋅ D

k

2 ⋅ D⋅ ∆p

f
Re = c⋅ V

or

μ

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

In addition

k =

(1)

(2)

k = 0.565

L⋅ ρ
c =

where

ρ⋅ D
μ

m
s

c = 4.26 × 10

4 s

m

(3)

Equations 1, 2 and 3 form a set of simultaneous equations for V, Re and f

Make a guess for f

Given

Given

f = 0.1

V =

then

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝
⎞
⎛ e
⎜
1
2.51
D
= −2.0⋅ log ⎜
+
3.7
f
Re⋅ f ⎠
⎝
Q = V⋅

π⋅ D
4

V = 5.86⋅

ft

V = 7.74⋅

ft

f
f = 0.0573

V =

k
f

f = 0.0573

V =

k

V= ⋅

f

2

The flow rate is then

k

3

Q = 0.0104

Note that we could use Excel's Solver for this problem

m
s

Q = 10.42

l
s

s

s

ft
s

Q = 165 ⋅ gpm

Re = c⋅ V

Re = 7.61 × 10

4

Re = c⋅ V

Re = 1.01 × 10

5

Re = c⋅ V

Re = 1.01 × 10

5

Problem 8.139

[Difficulty: 2]

Problem 8.140

[Difficulty: 4]

.

Given:

Two potential solutions to improve flowrate.

Find:

Which solution provides higher flowrate

Solution:

Basic equations:

⎛ p1
⎞ ⎛p
⎞
V2
V2
⎜⎜ + α 1 1 + gz1 ⎟⎟ − ⎜⎜ 2 + α 2 2 + gz 2 ⎟⎟ = hlT
2
2
⎝ρ
⎠ ⎝ ρ
⎠
⎛e/ D
1
2.51
LV2
V2
= −2.0 log⎜
+
hlT = hl + hlm = f
+K
⎜ 3.7 Re f
D 2
2
f
⎝

Assumptions: 1) Steady flow 2) Incompressible 3) Neglect minor losses 4)

Option 1: let z1 = 0

Given data

Q = VA

V1 2
V2
= α2 2
2
2

p 2 = p atm = 0 kPa gage

p1 = 200 kPa gage

The energy equation becomes:

Solving for V:

α1

⎞
⎟
⎟
⎠

V =

D = 0.019 m

p1

ρ

− gz 2 = f

⎛p
⎞
2 ⋅ D ⋅ ⎜⎜ 1 − g ⋅ z 2 ⎟⎟
⎝ρ
⎠
f ⋅L

e
=0
D

z 2 = 15 m
LV2
D 2

V =

k
f

(1)

L = 23 m

k=

⎞
⎛p
2 ⋅ D ⋅ ⎜⎜ 1 − g ⋅ z 2 ⎟⎟
3
⎠ = 2 × 0.019 m × ⎛⎜ 200,000 N × m × kg ⋅ m − 9.81 m × 15 m ⎞⎟ × 1
⎝ρ
⎜
⎟ 23 m
L
m 2 999 kg N ⋅ s 2
s2
⎝
⎠

k = 0.296

m
s

Re =

We also have

ρ ⋅V ⋅ D
µ

Re = c ⋅ V (2)

or

where

c = 999

Assuming water at 20oC (ρ = 999 kg/m3, µ = 1 x 10-3 kg/(m·s)):

⎛ 2.51
= −2.0 log⎜
⎜ Re f
f
⎝

1

In addition:

Given

1
f

Given

1
f

Given

1
f

f

⎛ 2.51
= −2.0 log⎜
⎜ Re f
⎝
⎛ 2.51
= −2.0 log⎜
⎜ Re f
⎝
⎛ 2.51
= −2.0 log⎜
⎜ Re f
⎝

The flowrate is then:

Option 2: let

Given data

f = 0.015

z1 = 0

⎞
⎟
⎟
⎠
⎞
⎟
⎟
⎠
⎞
⎟
⎟
⎠

π

s
m⋅s
kg
= 18981
× 0.019 m ×
3
-3
m
1 × 10 kg
m

V , Re and f

V =

k

f = 0.0213

V =

k

f = 0.0222

V =

k

f = 0.0223

V =

k

then

m
Q1 = × (0.019) m × 1.98 =
s
4
2

ρ⋅D
µ

⎞
⎟ (3)
⎟
⎠

Equations 1, 2 and 3 form a set of simultaneous equations for

Make a guess for

c=

2

f

f

f

f

= 2.42

m
s

Re = c ⋅ V = 4.59 × 10 4

= 2.03

m
s

Re = c ⋅ V = 3.85 × 10 4

= 1.99

m
s

Re = c ⋅ V = 3.77 × 10 4

= 1.98

m
s

Re = c ⋅ V = 3.76 × 10 4

5.61 × 10

−4

m3
s

p 2 = p atm = 0 kPa gage

p1 = 300 kPa gage

D = 0.0127 m

The analysis for Option 2 is identical to Option 1:

The energy equation becomes:

p1

ρ

− gz 2 = f

LV2
D 2

z 2 = 15 m

e
= 0.05
D

L = 16 m

V =

Solving for V:

k=

⎞
⎛p
2 ⋅ D ⋅ ⎜⎜ 1 − g ⋅ z 2 ⎟⎟
⎝ρ
⎠
f ⋅L

V =

k

(4)

f

⎛p
⎞
2 ⋅ D ⋅ ⎜⎜ 1 − g ⋅ z 2 ⎟⎟
3
⎝ρ
⎠ = 2 × 0.0127 m × ⎛⎜ 300,000 N × m × kg ⋅ m − 9.81 m × 15 m ⎞⎟ × 1
⎟ 16 m
⎜
L
m 2 999 kg N ⋅ s 2
s2
⎝
⎠

k = 0.493

We also have

m
s

Re =

ρ ⋅V ⋅ D
µ

c = 999

Re = c ⋅ V (5)

or

ρ⋅D
µ

kg
m⋅s
s
= 12687.3
× 0.0127 m ×
3
-3
m
m
1 × 10 kg

⎛e/ D
2.51
= −2.0 log⎜
+
⎜
f
⎝ 3.7 Re f

1

In addition:

c=

where

⎞
⎛
⎟ = −2.0 log⎜ 0.05 + 2.51
⎟
⎜ 3.7 Re f
⎠
⎝

⎞
⎟
⎟
⎠

(6)

Equations 4, 5 and 6 form a set of simultaneous equations for V , Re and f

Make a guess for

Given

Given

f

f = 0.07

⎛ 0.05
2.51
= −2.0 log⎜
+
⎜ 3.7 Re f
f
⎝
⎛ 0.05
1
2.51
= −2.0 log⎜
+
⎜
f
⎝ 3.7 Re f
1

The flowrate is then:

V =

k

f = 0.0725

V =

k

f = 0.0725

V =

k

then

⎞
⎟
⎟
⎠
⎞
⎟
⎟
⎠

π

f

f

m
s

Re = c ⋅ V = 2.36 × 10 4

= 1.83

m
s

Re = c ⋅ V = 2.32 × 10 4

= 1.83

m
s

Re = c ⋅ V = 2.32 × 10 4

3
m
−4 m
Q2 = × (0.0127 ) m × 1.83 = 2.32 × 10
s
s
4
2

2

This problem can also be solved explicitly:

LV2
− gz 2 = f
ρ
D 2

p1

The energy equation becomes:

or:

f

= 1.86

f =

Plugging this into the Colebrook equation:

1
V

⎛p
⎞
2 D⎜⎜ 1 − gz 2 ⎟⎟
⎝ρ
⎠
L

Option 1 is 2.42 times more effective!

1
f

Noting that the

=V

L
⎛p
⎞
2 D⎜⎜ 1 − gz 2 ⎟⎟
⎝ρ
⎠

⎛
⎛
⎜
⎜
⎜ e / D 2.51µ ⎜
= −2.0 log⎜
+
V
ρV D ⎜⎜
⎜ 3.7
⎜
⎜
⎝
⎝

V s on the right hand side cancel provides:
⎛
⎜
⎜ e / D 2.51µ
V = −2.0 log⎜
+
3
.
7
ρD
⎜
⎜
⎝

⎛
2 D⎜⎜
⎝

⎛
2 D⎜⎜
⎝

⎞⎞
⎟⎟
⎟⎟
L
⎟⎟
p1
⎞
− gz 2 ⎟⎟ ⎟ ⎟
ρ
⎠ ⎟⎠ ⎟⎠

⎞
⎞⎛
⎟⎜ 2 D⎛⎜ p1 − gz 2 ⎞⎟ ⎟
⎜ρ
⎟⎟
⎟⎜
L
⎝
⎠
⎟
⎟⎜
L
p1
⎞ ⎟⎜
⎟
− gz 2 ⎟⎟
⎟
⎜
⎟
ρ
⎠ ⎠⎝
⎠

Assuming water at 20oC (ρ = 999 kg/m3, µ = 1 x 10-3 kg/(m·s)) gives the remaining information needed to perform the calculation.
For Option 1:

⎛
⎞
kg
m3
1
⎜ 2.51 × 1 × 10 −3
⎟
×
×
m ⋅ s 999 kg 0.019 m
⎜
⎟
⎜
⎟
V = −2.0 log⎜
23 m
1
⎟
×
×
⎜
2 × 0.019 m ⎛
⎞⎟
N
m3
kg ⋅ m
m
⎜⎜ 200,000 2 ×
− 9.81 2 × 15 m ⎟⎟ ⎟
×
⎜⎜
2
999
kg
⋅
m
N
s
s
⎝
⎠ ⎟⎠
⎝
⎛ 2 × 0.019 m ⎛
⎞ ⎞⎟
N
m3
kg ⋅ m
m
⎟⎟
9
.
81
15
m
×⎜
× ⎜⎜ 200,000 2 ×
×
−
×
⎜
999 kg N ⋅ s 2
23 m
m
s2
⎝
⎠ ⎟⎠
⎝
m
V = 1.98
s
and:

Q1 =

Option 2: let

Given data

z1 = 0

π
4

× (0.019) m 2 × 1.98
2

m3
m
= 5.61 × 10 − 4
s
s

p 2 = p atm = 0 kPa gage

p1 = 300 kPa gage

z 2 = 15 m

D = 0.0127 m

e
= 0.05
D

The analysis for Option 2 results in the same equations as used in Option 1 once again giving:

⎛
⎜
⎜ e / D 2.51µ
V = −2.0 log⎜
+
ρD
⎜ 3.7
⎜
⎝

⎛
2 D⎜⎜
⎝

⎞
⎞⎛
⎟⎜ 2 D⎛⎜ p1 − gz 2 ⎞⎟ ⎟
⎟⎟
⎜ρ
⎟⎜
L
⎠
⎝
⎟
⎟⎜
L
p1
⎞ ⎟⎜
⎟
− gz 2 ⎟⎟
⎟
⎜
⎟
ρ
⎠ ⎠⎝
⎠

L = 16 m

⎞
⎛ 0.05
kg
m3
1
⎟
⎜
+ 2.51 × 1 × 10 −3
×
×
m ⋅ s 999 kg 0.0127 m
⎟
⎜ 3.7
⎟
⎜
V = −2.0 log⎜
16 m
1
⎟
×
×
3
⎜
2 × 0.0127 m ⎛
⎞⎟
kg ⋅ m
N
m
m
⎜⎜ 300,000 2 ×
×
− 9.81 2 × 15 m ⎟⎟ ⎟
⎜⎜
2
999 kg N ⋅ s
s
m
⎠ ⎟⎠
⎝
⎝
⎛ 2 × 0.0127 m ⎛
⎞ ⎞⎟
N
m3
kg ⋅ m
m
⎟⎟
−
×
×⎜
× ⎜⎜ 300,000 2 ×
×
9
.
81
15
m
⎜
999 kg N ⋅ s 2
16 m
m
s2
⎠ ⎟⎠
⎝
⎝

V = 1.83

The flowrate is then:

Q2 =

π
4

× (0.0127 ) m 2 × 1.83
2

m
=
s

m
s
2.32 × 10 − 4

m3
s

Problem 8.141

Given:

Kiddy pool on a porch.

Find:

Time to fill pool with a hose.

[Difficulty: 3]

Solution:
⎛ p1
⎞ ⎛ p2
⎞
V1 2
V 22
⎜
⎟
⎜
Basic equations:
⎜ ρ + α 1 2 + gz1 ⎟ − ⎜ ρ + α 2 2 + gz 2 ⎟⎟ = hlT
⎝
⎠ ⎝
⎠
2
2
⎛e/ D
1
2.51
LV
V
= −2.0 log⎜
+
hlT = hl + hlm = f
+K
⎜
D 2
2
f
⎝ 3.7 Re f
Assumptions: 1) Steady flow 2) Incompressible 3) Neglect minor losses 4)

Given data

p1 = 60

z1 = 0 ft

D = 0.625 in

z 2 = 20.5 ft

e
=0
D

L = 50 ft

k=

V =

Q = VA

V1 2
V2
= α2 2
2
2

lbf
gage
in 2

The energy equation becomes:

Solving for V:

α1

⎞
⎟
⎟
⎠

p2 = 0

lbf
gage
in 2

LV2
− gz 2 = f
D 2
ρ

p1

⎛p
⎞
2 ⋅ D ⋅ ⎜⎜ 1 − g ⋅ z 2 ⎟⎟
⎝ρ
⎠
f ⋅L

V =

k

(1)

f

⎛p
⎞
2 ⋅ D ⋅ ⎜⎜ 1 − g ⋅ z 2 ⎟⎟
2
3
⎞
slug ⋅ ft
ft
1
⎝ρ
⎠ = 2 × 0.625 in × ft × ⎛⎜ 60 lbf × 144 in × ft
×
− 32.2 2 × 20.5 ft ⎟⎟ ×
2
2
2
⎜
L
12 in ⎝ in
1.94 slug lbf ⋅ s
ft
s
⎠ 50 ft
k = 2.81

ft
s

We also have

Re =

ρ ⋅V ⋅ D
µ

Re = c ⋅ V (2)

or

where

c=

ρ⋅D
µ

Assuming water at 68oF (ρ = 1.94 slug/ft3, µ = 2.1 x 10-5 lbf·s/ft2):

c = 1.94

s
slug
ft
ft 2
lbf ⋅ s 2
= 4811.5
×
×
×
×
0
.
625
in
3
-5
ft
12 in 2.1 × 10 lbf ⋅ s slug ⋅ ft
ft

⎛ 2.51
= −2.0 log⎜
⎜ Re f
f
⎝

1

In addition:

⎞
⎟ (3)
⎟
⎠

Equations 1, 2 and 3 form a set of simultaneous equations for V , Re and f

Given

Given

V =

k

f = 0.0177

V =

k

f = 0.0179

V =

k

f = 0.015

Make a guess for f

⎛ 2.51
= −2.0 log⎜
⎜ Re f
f
⎝
⎛ 2.51
1
= −2.0 log⎜
⎜ Re f
f
⎝

1

then

⎞
⎟
⎟
⎠
⎞
⎟
⎟
⎠

f

f

f

= 22.94

ft
s

Re = c ⋅ V = 1.1 × 10 5

= 21.12

ft
s

Re = c ⋅ V = 1.02 × 10 5

= 21.0

ft
s

Re = c ⋅ V = 1.01 × 10 5

The flowrate is then:

Q =

π

× (0.625) in 2 ×
2

4

ft 2
ft
ft 3
×
=
0
.
0447
21
.
0
s
s
144 in 2

Volume pool = 2.5 ft ×
time =

Volume pool
Q

=

π
4

× (5) ft 2 = 49.1 ft 3
2

49.1 ft 3
= 1097 s =
ft 3
0.0447
s

This problem can also be solved explicitly in the following manner:

p1

The energy equation becomes:

ρ

f =

or:

1
V

− gz 2 = f

LV2
D 2

⎛p
⎞
2 D⎜⎜ 1 − gz 2 ⎟⎟
⎝ρ
⎠
L

Plugging this into the Colebrook equation:

1
=V
f

L
⎞
⎛p
2 D⎜⎜ 1 − gz 2 ⎟⎟
⎝ρ
⎠

⎛
⎛
⎜
⎜
⎜ 2.51µ ⎜
= −2.0 log⎜
⎜V
⎜ ρV D ⎜
⎜
⎜
⎝
⎝

⎛
2 D⎜⎜
⎝

⎞⎞
⎟⎟
⎟⎟
L
⎟⎟
p1
⎞
− gz 2 ⎟⎟ ⎟ ⎟
ρ
⎠ ⎟⎠ ⎟⎠

18.3 min.

Noting that the

V s on the right hand side cancel provides:
⎞
⎞⎛
⎛
⎟⎜ 2 D⎛⎜ p1 − gz 2 ⎞⎟ ⎟
⎜
⎜
⎟
⎟⎜
⎜ 2.51µ
L
⎝ρ
⎠⎟
V = −2.0 log⎜
⎜
⎟
⎟
ρ
D
L
p
⎛
⎞
1
⎟
⎜
⎜
2 D⎜⎜ − gz 2 ⎟⎟ ⎟
⎜
⎟
⎟
⎜
⎝ρ
⎠ ⎠⎝
⎝
⎠

Assuming water at 68oF (ρ = 1.94 slug/ft3, µ = 2 x 10-5 lbf·s/ft2) and g = 32.2 ft/s2 gives the remaining information needed to perform
the calculation finding:

⎞
⎛
slug ⋅ ft
1
12 in
lbf ⋅ s
ft 3
⎟
⎜ 2.51 × 2.1 × 10 −5
×
×
×
×
2
2
0.625 in
ft
1.94 slug lbf ⋅ s
ft
⎟
⎜
⎟
⎜
V = −2.0 log⎜
50 ft
12 in
1
⎟
×
×
×
3
⎟
⎜
2 × 0.625 in
ft
⎞
⎛ lbf 144 in 2
slug ⋅ ft
ft
ft
⎜⎜ 60 2 ×
×
×
− 32.2 2 × 20.5 ft ⎟⎟ ⎟
⎜⎜
2
2
1.94 slug lbf ⋅ s
ft
s
⎠ ⎟⎠
⎝ in
⎝
⎛ 2 × 0.625 in
⎞ ⎞⎟
⎛
ft
lbf 144 in 2
ft 3
slug ⋅ ft
ft
⎟⎟
×⎜
×
× ⎜⎜ 60 2 ×
×
×
−
×
32
.
2
20
.
5
ft
⎜
50 ft
12 in ⎝
1.94 slug lbf ⋅ s 2
in
ft 2
s2
⎠ ⎟⎠
⎝

V = 21.0

ft
s

and:

Q =

π
4

× (0.052) ft 2 × 21.0
2

Volume pool = 2.5 ft ×
time =

Volume pool
Q

=

π
4

ft
ft 3
= 0.0447
s
s

× (5) ft 2 = 49.1 ft 3
2

49.1 ft 3
= 1097 s =
ft 3
0.0447
s

18.3 min.

Problem 8.142

[Difficulty: 3]

Problem 8.143

[Difficulty: 3]

Problem 8.144

[Difficulty: 3]

Problem 8.145

[Difficulty: 3]

Problem 8.146

Given:

Flow from large reservoir

Find:

Flow rates in two pipes

Solution:
Basic equations

[Difficulty: 4]

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
⎜ ρ + α ⋅ 2 + g ⋅ z1 − ⎜ ρ + α ⋅ 2 + g ⋅ z2 = h l
⎝
⎠ ⎝
⎠

2

hl = f ⋅

2

L V
⋅
D 2

V
h lm = Kent ⋅
2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1
Available data

D = 50⋅ mm

H = 10⋅ m

L = 10⋅ m

e = 0.15⋅ mm

(Table 8.1)

ν = 1⋅ 10

2
−6 m

⋅

Kent = 0.5

(Table A.8)

s

The energy equation becomes
2

V2
L V2
g ⋅ z1 − z2 − ⋅ V2 = f ⋅ ⋅
+ Kent⋅
2
D 2
2

(

Solving for V

)

2

2

and

V2 = V

z1 − z2 = H

2⋅ g⋅ H

V=
f⋅

We also have

1

L

+ Kent + 1
D

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

(1)

Re =

(2)

V⋅ D

(3)

ν

We must solve Eqs. 1, 2 and 3 iteratively.

Make a guess for V

and

Then

V = 1⋅

m

Then

s

⎞
⎛ e
⎜
1
2.51
D
= −2.0⋅ log ⎜
+
f
⎝ 3.7 Re⋅ f ⎠
2⋅ g⋅ H

V =
f⋅

L

+ Kent + 1
D

Re =

V⋅ D
ν

f = 0.0286

V = 5.21

m
s

Re = 5.00 × 10

4

Repeating

and

Then

Re =

V⋅ D

⎞
⎛ e
⎜
1
2.51
D
= −2.0⋅ log ⎜
+
f
⎝ 3.7 Re⋅ f ⎠
2⋅ g⋅ H

V =
f⋅

Repeating

and

Then

Re =

L

⎞
⎛ e
⎜
1
2.51
D
= −2.0⋅ log ⎜
+
f
⎝ 3.7 Re⋅ f ⎠
2⋅ g⋅ H

V =

Q =

π
4

V = 5.36

m
s

Re = 2.68 × 10

ν

L

5

f = 0.0267

+ Kent + 1
D

V⋅ D

f⋅

Hence

Re = 2.61 × 10

ν

5

f = 0.0267

V = 5.36

+ Kent + 1
D

m
s

3

2

⋅D ⋅V

Q = 0.0105

m

Q = 10.5⋅

s

l
s

We repeat the analysis for the second pipe, using 2L instead of L:

Make a guess for V

and

Then

V = 1⋅

m

⎞
⎛ e
⎜
1
2.51
D
= −2.0⋅ log ⎜
+
3.7
f
Re⋅ f ⎠
⎝
2⋅ g⋅ H

V =
f⋅

Repeating

and

Then

Then

s

Re =

2⋅ L

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠
2⋅ g⋅ H
2⋅ L

+ Kent + 1
D

Re = 5.00 × 10

ν

f = 0.0286

V = 3.89

m
s

Re = 1.95 × 10

ν

f⋅

V⋅ D

+ Kent + 1
D

V⋅ D

V =

Re =

f = 0.0269

V = 4.00

m
s

5

4

Repeating

and

Then

Re =

V⋅ D

⎞
⎛ e
⎜
1
2.51
D
= −2.0⋅ log ⎜
+
f
⎝ 3.7 Re⋅ f ⎠
2⋅ g⋅ H

V =
f⋅

Hence

Re = 2.00 × 10

ν

Q =

π
4

2⋅ L

+ Kent + 1
D

2

⋅D ⋅V

As expected, the flow is considerably less in the longer pipe.

5

f = 0.0268

V = 4.00

m
s

Q = 7.861 × 10

3
−3m

s

Q = 7.86⋅

l
s

Problem 8.147

Given:

Galvanized drainpipe

Find:

Maximum downpour it can handle

Solution:

[Difficulty: 3]

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = hl
2
2
⎝
⎠ ⎝ρ
⎠

Basic equations

2

hl = f ⋅

L V
⋅
D 2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1 4) No minor losses
Available data

D = 50⋅ mm

e = 0.15⋅ mm

h=L

(Table 8.1)

(

From Table A.7 (20oC)
2

)

The energy equation becomes

L V
g ⋅ z1 − g ⋅ z2 = g ⋅ z1 − z2 = g ⋅ h = f ⋅ ⋅
D 2

Solving for V

V=

k=

2 ⋅ D⋅ g ⋅ h
L⋅ f
2 ⋅ D⋅ g

=

2 ⋅ D⋅ g

V=

f

k =

k

(1)

f

2 × 0.05⋅ m × 9.81⋅

m

k = 0.99

2

s
Re =

We also have

V⋅ D

Re = c⋅ V

or

ν
s

c = 0.05⋅ m ×

(2)

m
s
c=

where

D
ν

4 s

−6

1.01 × 10

c = 4.95 × 10 ⋅

2

⋅m

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

In addition

ν = 1.01 × 10

m

(3)

Equations 1, 2 and 3 form a set of simultaneous equations for V, Re and f
Make a guess for f

f = 0.01

V =

then

k

V = 9.90

m

f

Given

s

Re = c⋅ V

5

Re = 4.9 × 10

⎛ e
⎞
⎜
1
D
2.51
= −2.0⋅ log ⎜
+
3.7
f
Re⋅ f ⎠
⎝
f = 0.0264

V =

k
f

V = 6.09

m
s

Re = c⋅ V

Re = 3.01 × 10

5

2
−6 m

⋅

s

Given

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠
f = 0.0266

k

V =

V = 6.07

m

V = 6.07

m

s

f

Given

Re = c⋅ V

Re = 3.00 × 10

5

Re = c⋅ V

Re = 3.00 × 10

5

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠
f = 0.0266

k

V =

s

f
2

The flow rate is then

Q = V⋅

3

π⋅ D

Q = 0.0119⋅

4

m
s

3

The downpour rate is then

Q
Aroof

0.0119⋅
=

m
s
2

×

500 ⋅ m

Note that we could use Excel's Solver for this problem

100 ⋅ cm
1⋅ m

×

60⋅ s
1 ⋅ min

= 0.143 ⋅

cm
min

The drain can handle 0.143 cm/min

Problem 8.148

[Difficulty: 3] Part 1/2

Problem 8.148

[Difficulty: 3] Part 2/2

Problem 8.149

Given:

Flow in a tube

Find:

Effect of tube roughness on flow rate; Plot

[Difficulty: 3]

Solution:
Governing equations:

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
⎜ ρ + α1⋅ 2 + g ⋅ z1 − ⎜ ρ + α2 ⋅ 2 + g⋅ z2 = h lT =
⎝
⎠ ⎝
⎠

Re =

f =

ρ⋅ V⋅ D

64

μ

2

hl = f ⋅

L V
⋅
D 2

(8.36)

hl +

major

∑

h lm (8.29)

minor

2

(8.34)

(Laminar)

Re

∑

h lm = K⋅

V

(8.40a)

2

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

h lm = f ⋅

(8.37)

Le V2
(8.40b)
⋅
D 2
(Turbulent)

The energy equation (Eq. 8.29) becomes for flow in a tube
2

L V
p 1 − p 2 = ∆p = ρ⋅ f ⋅ ⋅
D 2

This cannot be solved explicitly for velocity V, (and hence flow rate Q) because f depends on V; solution for a given relative
roughness e/D requires iteration (or use of Solver)

Flow Rate versus Tube Relative Roughness
for fixed Dp
8
6
3

Q (m /s)
x 10

4

4
2
0
0.00

0.01

0.02
e/D

0.03

0.04

0.05

It is not possible to roughen the tube sufficiently to slow the flow down to a laminar flow for this Δp. Even a relative roughness of
0.5 (a physical impossibility!) would not work.

Problem 8.150

Given:

Flow in a tube

Find:

Effect of tube length on flow rate; Plot

[Difficulty: 3]

Solution:
Governing equations:

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1 2
1
2 2
2 = h lT =
⎝
⎠ ⎝ρ
⎠

Re =

f =

ρ⋅ V⋅ D

64

μ

2

hl = f ⋅

L V
⋅
D 2

(8.36)

hl +

major

∑

h lm (8.29)

minor

2

(8.34)

(Laminar)

Re

∑

h lm = K⋅

V

(8.40a)

2

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

h lm = f ⋅

(8.37)

Le V2
(8.40b)
⋅
D 2
(Turbulent)

The energy equation (Eq. 8.29) becomes for flow in a tube
2

L V
p 1 − p 2 = ∆p = ρ⋅ f ⋅ ⋅
D 2

This cannot be solved explicitly for velocity V, (and hence flow rate Q) because f depends on V; solution for a given L requires
iteration (or use of Solver)

Flow Rate vs Tube Length for Fixed Dp
10.0

Laminar

Q (m3/s)

Turbulent

4

x 10 1.0

0.1
0

5

10

15
L (km)

20

25

30

35

The "critical" length of tube is between 15 and 20 km. For this range, the fluid is making a transition between laminar and
turbulent flow, and is quite unstable. In this range the flow oscillates between laminar and turbulent; no consistent solution is
found (i.e., an Re corresponding to turbulent flow needs an f assuming laminar to produce the Δp required, and vice versa!) More
realistic numbers (e.g., tube length) are obtained for a fluid such as SAE 10W oil (The graph will remain the same except for scale)

Problem 8.151

[Difficulty: 5]

Given:

Flow from a reservoir

Find:

Effect of pipe roughness and pipe length on flow rate; Plot

Solution:
Governing equations:

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
⎜ ρ + α1⋅ 2 + g ⋅ z1 − ⎜ ρ + α2 ⋅ 2 + g⋅ z2 = h lT =
⎝
⎠ ⎝
⎠

Re =

f =

ρ⋅ V⋅ D

64

μ

2

hl = f ⋅

hl +

major

∑

h lm (8.29)

minor

2

L V
⋅
D 2

(8.36)

∑

h lm = K⋅

(8.34)

V

(8.40a)

2

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

(Laminar)

Re

h lm = f ⋅

(8.37)

Le V2
(8.40b)
⋅
D 2
(Turbulent)

The energy equation (Eq. 8.29) becomes for this flow (see Example 8.5)

⎛

p pump = ∆p = ρ⋅ ⎜ g ⋅ d + f ⋅

⎝

2⎞

L V
⋅
D 2

⎠

We need to solve this for velocity V, (and hence flow rate Q) as a function of roughness e, then length L. This cannot be solved
explicitly for velocity V, (and hence flow rate Q) because f depends on V; solution for a given relative roughness e/D or length L
requires iteration (or use of Solver)

It is not possible to roughen the tube sufficiently to slow
the flow down to a laminar flow for this Δp.

Flow Rate versus Tube Relative Roughness for fixed Dp
0.020
0.015
3
Q (m /s)

0.010
0.005
0.000
0.00

0.01

0.01

0.02

0.02

0.03

0.03

0.04

0.04

0.05

0.05

e/D

Flow Rate versus Tube Length for fixed Dp
0.010

Q (m3/s)
0.005

0.000
0

200

400

600
L (m)

800

1000

1200

Problem 8.152

[Difficulty: 4]

Given:

System for fire protection

Find:

Height of water tower; Maximum flow rate; Pressure gage reading

Solution:
Governing equations:

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
⎜ ρ + α1⋅ 2 + g ⋅ z1 − ⎜ ρ + α2 ⋅ 2 + g⋅ z2 = h lT =
⎝
⎠ ⎝
⎠

Re =

f =

∑

hl +

major

∑

h lm(8.29)

minor

2

ρ⋅ V⋅ D

hl = f ⋅

μ

64

(8.36)

L V
⋅
D 2

(8.34)

h lm = 0.1⋅ h l

h lm = f ⋅

⎛ e
⎞
⎜
D
1
2.51
(8.37)
+
= −2.0⋅ log ⎜
3.7
f
Re
⋅
f
⎝
⎠

(Laminar)

Re

Le V2
(8.40b)
⋅
D 2

(Turbulent)

For no flow the energy equation (Eq. 8.29) applied between the water tower free surface (state 1; height H) and pressure gage is
g⋅ H =

p2

or

ρ

H=

p2
ρ⋅ g

(1)

The energy equation (Eq. 8.29) becomes, for maximum flow (and α = 1)
2

g⋅ H −

2

V

= h lT = ( 1 + 0.1) ⋅ h l
2

or

g⋅ H =

V

2

⋅ ⎛⎜ 1 + 1.1⋅ f ⋅

⎝

L⎞

(2)

D⎠

This can be solved for V (and hence Q) by iterating, or by using Solver
The energy equation (Eq. 8.29) becomes, for restricted flow

g⋅ H −

p2
ρ

2

+

The results in Excel are shown below:

V

= h lT = ( 1 + 0.1) ⋅ h l
2

2

p 2 = ρ⋅ g ⋅ H − ρ⋅

V

2

⋅ ⎜⎛ 1 + 1.1⋅ ρ⋅ f ⋅

⎝

L⎞
D⎠

(3)

Problem 8.153

Given:

Syphon system

Find:

Flow rate; Minimum pressure

Solution:

[Difficulty: 4]

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = h lT
2
2
⎝
⎠ ⎝ρ
⎠

Basic equations

2

h lT = f ⋅

L V
⋅
+ h lm
D 2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1
Hence the energy equation applied between the tank free surface (Point 1) and the tube exit (Point 2, z = 0) becomes
g ⋅ z1 −

V2

2

2

2
2
2
Le V2
V
L V
V
= g ⋅ z1 −
= f⋅ ⋅
+ Kent⋅
+ f⋅ ⋅
2
D 2
2
D 2

Kent = 0.78

From Table 8.2 for reentrant entrance

For the bend

R
D

=9

The two lengths are

Le = 56⋅ D

We also have

Re =

D
(1)

⎡
⎛ L Le ⎞⎤
⎢1 + Kent + f ⋅ ⎜ +
⎥
⎣
⎝ D D ⎠⎦
Le = 2.8 m

V⋅ D

or

ν

ν = 1.14 × 10

2
−6 m

⋅

s

then

h = 2.5⋅ m

and

L = 4.51 m

Re = c⋅ V (2)

where

c = 0.05⋅ m ×

⎞
⎛ e
⎜
1
2.51
D
= −2.0⋅ log ⎜
+
3.7
f
Re⋅ f ⎠
⎝

f = 0.01

= 56

L = ( 0.6 + π⋅ 0.45 + 2.5) ⋅ m

Equations 1, 2 and 3 form a set of simultaneous equations for V, Re and f

Make a guess for f

Le

for a 90o bend so for a 180 o bend

2⋅ g⋅ h

V=

In addition

= 28

D

Solving for V

From Table A.7 (15oC)

Le

so from Fig. 8.16

s

D
ν
4 s

−6

1.14 × 10
(3)

c=

2

c = 4.39 × 10 ⋅

⋅m

e = 0.0015⋅ mm (Table 8.1)

m

V =

2⋅ g⋅ h

⎡
⎛ L Le ⎞⎤
⎢1 + Kent + f ⋅ ⎜ +
⎥
⎣
⎝ D D ⎠⎦

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

Given

2⋅ g⋅ h

V =

⎛ L Le ⎞⎤
⎡
⎢1 + Kent + f ⋅ ⎜ +
⎥
⎣
⎝ D D ⎠⎦
⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

Given

2⋅ g⋅ h

V =

⎡
⎛L
⎢1 + Kent + f ⋅ ⎜ +
⎥
⎣
⎝ D D ⎠⎦
⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

Given

V =

Le ⎞⎤

2⋅ g⋅ h
Le ⎞⎤

⎡
⎛L
⎢1 + Kent + f ⋅ ⎜ +
⎥
⎣
⎝ D D ⎠⎦

V = 3.89

m

Re = c⋅ V

s

Re = 1.71 × 10

5

f = 0.0164

V = 3.43

m
s

Re = c⋅ V

Re = 1.50 × 10

5

Re = c⋅ V

Re = 1.49 × 10

5

Re = c⋅ V

Re = 1.49 × 10

5

f = 0.0168

V = 3.40

m
s

f = 0.0168

V = 3.40

m
s

Note that we could use Excel's Solver for this problem.
2

Q =

The flow rate is then

π⋅ D
4

3
−3m

⋅V

Q = 6.68 × 10

s

The minimum pressure occurs at the top of the curve (Point 3). Applying the energy equation between Points 1 and 3
2
⎛⎜ p
⎞
2
2
V3
⎛ p3 V2
Le V2
⎞
3
V
L V
g ⋅ z1 − ⎜
+
+ g ⋅ z3 = g ⋅ z1 − ⎜
+
+ g ⋅ z3 = f ⋅ ⋅
+ Kent⋅
+ f⋅ ⋅
2
2
D 2
2
D 2
⎝ρ
⎠
⎝ρ
⎠

where we have

Le
D

= 28

for the first 90o of the bend, and

L = ⎜⎛ 0.6 +

⎝

π × 0.45 ⎞
2

⎠

⋅m

L = 1.31 m

2
⎡
⎛ L Le ⎞⎤⎤
V ⎡
⋅ ⎢1 + Kent + f ⋅ ⎜ +
p 3 = ρ⋅ ⎢g ⋅ z1 − z3 −
⎥⎥
2 ⎣
⎣
⎝ D D ⎠⎦⎦

(

)

⎡
⎢
kg ⎢
m
p 3 = 1000⋅
× 9.81⋅ × ( −0.45⋅ m) −
3 ⎢
2
m
s
⎣

2
⎤
⎛ 3.4⋅ m ⎞
⎥
⎜
2
s⎠ ⎡
1.31
⎝
⎥ N⋅ s p = −20.0⋅ kPa
⋅ ⎢1 + 0.78 + 0.0168⋅ ⎛⎜
+ 28⎞⎥⎤ ×
2
⎣
⎝ 0.05
⎠⎦⎥⎦ kg⋅ m 3

Problem 8.154

[Difficulty: 4]

Given:

Tank with drainpipe

Find:

Flow rate for rentrant, square-edged, and rounded entrances

Solution:

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = h lT
2
2
⎝
⎠ ⎝ρ
⎠

Basic equations

2

h lT = f ⋅

2

L V
V
⋅
+ Kent⋅
D 2
2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1
Available data

D = 1 ⋅ in

L = 2 ⋅ ft

e = 0.00085 ⋅ ft

h = 3 ⋅ ft

(Table 8.1)

r = 0.2⋅ in

Hence the energy equation applied between the tank free surface (Point 1) and the pipe exit (Point 2, z = 0) becomes
V2

g ⋅ z1 −

Solving for V

V=

We also have

Re =

From Table A.7 (20oC)

In addition

2

2

2

2

2

V
L V
V
= g ⋅ z1 −
= f⋅ ⋅
+ Kent⋅
2
D 2
2
2⋅ g⋅ h

(1)

⎛1 + K + f ⋅ L ⎞
⎜
ent
D⎠
⎝
V⋅ D

Re = c⋅ V (2)

or

ν

ν = 1.01 × 10

2
−6 m

⋅

− 5 ft

ν = 1.09 × 10

s

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

c=

where
2

c =

s

D
ν

Make a guess for f

f = 0.01

(3)

Re = c⋅ V

Given

Kent = 0.78
V =

then

Re = 7.49 × 10

2⋅ g⋅ h

⎛
⎜ 1 + Kent + f ⋅
D⎠
⎝

4

⎛ e
⎞
⎜
1
D
2.51
= −2.0⋅ log ⎜
+
f
⎝ 3.7 Re⋅ f ⎠

L⎞

f = 0.0389

ν

c = 7665⋅

Equations 1, 2 and 3 form a set of simultaneous equations for V, Re and f
For a reentrant entrance, from Table 8.2

D

V = 2.98

m
s

s
ft

2⋅ g⋅ h

V =

Given

L⎞
⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠
e
⎛
⎞
⎜ D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

V = 2.57

L⎞
⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠
e
⎛
⎞
⎜ D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

V =

m
s

Re = c⋅ V

Re = 6.46 × 10

4

Re = c⋅ V

Re = 6.46 × 10

4

Re = c⋅ V

Re = 6.46 × 10

4

f = 0.0391

2⋅ g⋅ h

V =

Given

V = 2.57

m
s

f = 0.0391

2⋅ g⋅ h

V = 2.57

L⎞
⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠

m
s

Note that we could use Excel's Solver for this problem
2

The flow rate is then

Q = V⋅

π⋅ D

Q = 0.0460

4

Given

then

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠
V =

Given

f = 0.01

V =

2⋅ g⋅ h

⎛
⎜ 1 + Kent + f ⋅
D⎠
⎝
L⎞

2⋅ g⋅ h

V = 2.71

L⎞

m
s

2⋅ g⋅ h

V = 2.71

L⎞

⎛
⎜ 1 + Kent + f ⋅
D⎠
⎝
Q = V⋅

π⋅ D

m

Q = 0.0485

4

For a rounded entrance, from Table 8.2

r
D

m

Re = 8.07 × 10

4

Re = c⋅ V

Re = 6.83 × 10

4

Re = c⋅ V

Re = 6.82 × 10

4

V = 3.21

s

Re = c⋅ V

f = 0.0390

2

The flow rate is then

Q = 20.6⋅ gpm

s

f = 0.0389

⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠
⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

V =

3

Kent = 0.5

For a square-edged entrance, from Table 8.2

Make a guess for f

ft

= 0.2

s

ft

3

s

Q = 21.8⋅ gpm

Kent = 0.04

Make a guess for f f = 0.01

V =

then

V = 3.74

m

V =

V =

2⋅ g⋅ h

V =

m

V = 3.02

L⎞

4

s

Re = c⋅ V

Re = 7.59 × 10

4

Re = c⋅ V

Re = 7.58 × 10

4

Re = c⋅ V

Re = 7.58 × 10

4

f = 0.0389

2⋅ g⋅ h

m

V = 3.01

⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠
⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

Given

Re = 9.41 × 10

f = 0.0388

⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠
⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

Given

⎛1 + K + f ⋅ L ⎞
⎜
ent
D⎠
⎝

Re = c⋅ V

s

⎞
⎛ e
⎜
1
2.51
D
= −2.0⋅ log ⎜
+
f
⎝ 3.7 Re⋅ f ⎠

Given

2⋅ g⋅ h

L⎞

s

f = 0.0389

2⋅ g⋅ h

m

V = 3.01

⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠
L⎞

s

Note that we could use Excel's Solver for this problem
2

The flow rate is then

In summary:

Q = V⋅

π⋅ D
4

Renentrant: Q = 20.6⋅ gpm

Q = 0.0539

ft

3

s

Square-edged:

Q = 24.2⋅ gpm

Q = 21.8⋅ gpm

Rounded:

Q = 24.2⋅ gpm

Problem 8.155

[Difficulty: 4]

Given:

Tank with drainpipe

Find:

Flow rate for rentrant, square-edged, and rounded entrances

Solution:

2
2
⎞ ⎛⎜ p
⎞
⎛⎜ p
V1
V2
1
2
⎜ ρ + α⋅ 2 + g⋅ z1 − ⎜ ρ + α⋅ 2 + g⋅ z2 = h lT
⎝
⎠ ⎝
⎠

Basic equations

2

h lT = f ⋅

2

L V
V
⋅
+ Kent⋅
D 2
2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1
Available data

D = 1 ⋅ in

L = 2 ⋅ ft

e = 0.00085 ⋅ ft

h = 3 ⋅ ft

(Table 8.1)

r = 0.2⋅ in

Hence the energy equation applied between the tank free surface (Point 1) and the pipe exit (Point 2, z = 0) becomes
V2

g ⋅ z1 −

Solving for V

V=

2

2

2

2

2⋅ g⋅ H

(1)

⎛1 + K + f ⋅ L ⎞
⎜
ent
D⎠
⎝
H = h+L

where now we have
We also have

From Table A.7 (20oC)

In addition

Re =

2

V
L V
V
= g ⋅ z1 −
= f⋅ ⋅
+ Kent⋅
2
D 2
2

V⋅ D

Re = c⋅ V (2)

or

ν

ν = 1.01 × 10

H = 5 ft

2
−6 m

⋅

− 5 ft

ν = 1.09 × 10

s

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

c=

where
2

s

c =

D
ν

Make a guess for f

f = 0.01

(3)

Re = c⋅ V

Given

Kent = 0.78
V =

then

Re = 9.67 × 10

2⋅ g⋅ H
L⎞
⎛
⎜ 1 + Kent + f ⋅
D⎠
⎝

4

⎛ e
⎞
⎜
1
D
2.51
= −2.0⋅ log ⎜
+
3.7
f
Re⋅ f ⎠
⎝

f = 0.0388

ν

c = 7665⋅

Equations 1, 2 and 3 form a set of simultaneous equations for V, Re and f
For a reentrant entrance, from Table 8.2

D

V = 3.85

m
s

s
ft

2⋅ g⋅ H

V =

Given

V = 3.32

L⎞
⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠
e
⎛
⎞
⎜ D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

V =

m
s

Re = c⋅ V

Re = 8.35 × 10

4

Re = c⋅ V

Re = 8.35 × 10

4

f = 0.0389

2⋅ g⋅ H

V = 3.32

L⎞
⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠

m
s

Note that we could use Excel's Solver for this problem
2

The flow rate is then

Q = V⋅

π⋅ D

Q = 0.0594

4

f = 0.01

Given

Given

then

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠
V =

V =

2⋅ g⋅ H

⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠
L⎞

V = 3.51

L⎞

V = 3.51

⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠
L⎞

π⋅ D

m
s

m

Q = 0.0627

4

For a rounded entrance, from Table 8.2

r
D

Make a guess for f

f = 0.01

V = 4.83

s

s

ft

5

Re = c⋅ V

Re = 8.82 × 10

4

Re = c⋅ V

Re = 8.82 × 10

4

Re = c⋅ V

s

3

Q = 28.2⋅ gpm

s

= 0.2

then

m

m

Re = 1.04 × 10

V = 4.14

f = 0.0388

2⋅ g⋅ H

Q = V⋅

Q = 26.7⋅ gpm

2⋅ g⋅ H

2

The flow rate is then

s

f = 0.0387

⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠
⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

V =

3

Kent = 0.5

For a square-edged entrance, from Table 8.2

Make a guess for f

ft

Kent = 0.04

V =

2⋅ g⋅ H

⎛1 + K + f ⋅ L ⎞
⎜
ent
D⎠
⎝

Re = c⋅ V

Re = 1.22 × 10

5

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

Given

V =

f = 0.0386

2⋅ g⋅ H

L⎞
⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠
e
⎞
⎛
⎜ D
1
2.51
= −2.0⋅ log ⎜
+
f
⎝ 3.7 Re⋅ f ⎠

Given

V =

V =

s

Re = c⋅ V

Re = 9.80 × 10

4

Re = c⋅ V

Re = 9.80 × 10

4

Re = c⋅ V

Re = 9.80 × 10

4

f = 0.0388

2⋅ g⋅ H

m

V = 3.89

L⎞
⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠
e
⎛
⎞
⎜ D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

Given

m

V = 3.90

s

f = 0.0388

2⋅ g⋅ H

m

V = 3.89

L⎞
⎛
⎜ 1 + Kent + f ⋅ D
⎝
⎠

s

Note that we could use Excel's Solver for this problem
2

The flow rate is then

In summary:

Q = V⋅

π⋅ D
4

Renentrant: Q = 26.7⋅ gpm

Q = 0.0697

ft

3

s

Square-edged:

Q = 31.3⋅ gpm

Q = 28.2⋅ gpm

Rounded:

Q = 31.3⋅ gpm

Problem 8.156

[Difficulty: 5]

Given:

Tank with drain hose

Find:

Flow rate at different instants; Estimate of drain time

Solution:

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
⎜ ρ + α⋅ 2 + g⋅ z1 − ⎜ ρ + α⋅ 2 + g⋅ z2 = h l
⎝
⎠ ⎝
⎠

Basic equations

2

hl = f ⋅

L V
⋅
D 2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1 4) Ignore minor loss at entrance (L >>; verify later)
Available data

L = 1⋅ m

D = 15⋅ mm

e = 0.2⋅ mm

3

Vol = 30⋅ m

Hence the energy equation applied between the tank free surface (Point 1) and the hose exit (Point 2, z = 0) becomes
g ⋅ z1 −
Solving for V

V=

We also have

Re =

From Fig. A.2 (20oC)

In addition

V2
2

2

2

2

V
L V
= g ⋅ z1 −
= f⋅ ⋅
2
D 2

2⋅ g⋅ h

(1)

⎛1 + f ⋅ L ⎞
⎜
D⎠
⎝
V⋅ D

Re = c⋅ V (2)

or

ν
2
−6 m

ν = 1.8 × 10

⋅

c =

s

D

c = 8333

ν

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

h = 10⋅ m

initially

where

c=

and

D
ν

s
m

(3)

Equations 1, 2 and 3 form a set of simultaneous equations for V, Re and f
Make a guess for f

f = 0.01

V =

then
2⋅ g⋅ h

⎛1 + f ⋅ L ⎞
⎜
D⎠
⎝

V = 10.8

m
s

Re = c⋅ V

Re = 9.04 × 10

4

Given

Given

⎛ e
⎞
⎜
D
1
2.51
+
f = 0.0427
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

V =

⎛ e
⎞
⎜
D
1
2.51
+
f = 0.0427
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

V =

2⋅ g⋅ h

⎛1 + f ⋅
⎜
D⎠
⎝
L⎞

2⋅ g⋅ h

⎛1 + f ⋅
⎜
D⎠
⎝
L⎞

Note that we could use Excel's Solver for this problem

π⋅ D
4

Given

3
−3m

Q = 1.26 × 10

⎛ e
⎞
⎜
D
1
2.51
+
f = 0.0430
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

V =

2

Q = V⋅

π⋅ D
4

Given

Q = 8.9 × 10

⎛1 + f ⋅ L ⎞
⎜
D⎠
⎝
2⋅ g⋅ h

⎛1 + f ⋅
⎜
D⎠
⎝
L⎞

L
D

Re = 5.95 × 10

4

Re = c⋅ V

Re = 5.95 × 10

4

= 2.8

Ke = 0.5

h lm < h l

l
s

V = 5.04

m

V = 5.04

m

Q = 0.890 ⋅

s

V =

⎛ e
⎞
⎜
D
1
2.51
+
f = 0.0444
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠
2

Q = V⋅

2⋅ g⋅ h

3
−4m

⎛ e
⎞
⎜
D
1
2.51
+
f = 0.0444
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

The flow rate is then

f⋅

s

Re = c⋅ V

s

s

Re = c⋅ V

Re = 4.20 × 10

4

Re = c⋅ V

Re = 4.20 × 10

4

Re = c⋅ V

Re = 1.85 × 10

4

Re = c⋅ V

Re = 1.85 × 10

4

l
s

h = 1⋅ m

Next we recompute everything for

Given

m

Q = 1.26⋅

s

V =

⎛ e
⎞
⎜
D
1
2.51
+
f = 0.0430
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

The flow rate is then

V = 7.14

s

h = 5⋅ m

Next we recompute everything for

Given

m

Note:

2

Q = V⋅

The flow rate is then

V = 7.14

π⋅ D
4

V =

3
−4m

Q = 3.93 × 10

s

2⋅ g⋅ h

⎛1 + f ⋅
⎜
D⎠
⎝
L⎞

2⋅ g⋅ h

⎛1 + f ⋅ L ⎞
⎜
D⎠
⎝

V = 2.23

m

V = 2.23

m

Q = 0.393 ⋅

s

s

l
s

Initially we have dQ/dt = -1.26L/s, then -.890 L/s, then -0.393 L/s. These occur at h = 10 m, 5 m and 1 m. The corresponding
volumes in the tank are then Q = 30,000 L, 15,000 L, and 3,000 L3. Using Excel we can fit a power trendline to the dQ/dt versus Q
data to find, approximately
1

dQ
dt

= −0.00683 ⋅ Q

t = 293 ⋅ ( 30 −

2

Q)

where dQ/dt is in L/s and t is s. Solving this with initial condition Q = -1.26 L/s when t = 0 gives

Hence, when Q = 3000 L (h = 1 m)

t = 293 ⋅ ( 30000 −

3000) ⋅ s

4

t = 3.47 × 10 s

t = 9.64⋅ hr

Problem 8.157

[Difficulty: 4]

Problem 8.158

[Difficulty: 4] Part 1/2

Problem 8.158

[Difficulty: 4] Part 2/2

Problem 8.159

[Difficulty: 4] Part 1/2

Problem 8.159

[Difficulty: 4] Part 2/2

Problem 8.160

[Difficulty: 5]

Applying the energy equation between inlet and exit:

∆p

ρ

= f

L V 2
D 2

"Old school":

or

∆p ρf V 2
=
D 2
L

∆p ⎛ ∆p ⎞ ⎛ Q0 ⎞
=⎜ ⎟ ⎜ ⎟
L ⎝ L ⎠0 ⎜⎝ Q ⎟⎠

Q (gpm)

20
18
16

Flow (gpm)

14
12
10
8
6
4
2
0
0.00

0.01

Your boss was wrong!

1.25
1.50
1.75
2.00
2.25
2.50
2.75
3.00
3.25
3.50
3.75
4.00
4.25
4.50
4.75
5.00
5.25
5.50
5.75
6.00
6.25
6.50
6.75
7.00
7.25
7.50
7.75
0.02
8.00
8.25
8.50
8.75
9.00

Q (ft3/s)

D=
e=

2

ν =
ρ =

V (ft/s)

Re

f

1 in
0.00015 ft
2
1.08E-05 ft /s
3
1.94 slug/ft

∆p (old
∆p (psi/ft)
school) (psi)

0.00279
0.511
3940
0.0401
0.00085
0.00085
0.00334
0.613
4728
0.0380
0.00122
0.00115
0.00390
0.715
5516
0.0364
0.00166
0.00150
0.00446
0.817
6304
0.0350
0.00216
0.00189
0.00501
0.919
7092
0.0339
0.00274
0.00232
1.021Pressure
7881 Drop 0.0329
0.00338
0.00278
Flow0.00557
Rate versus
0.00613
1.123
8669
0.0321
0.00409
0.00328
0.00668
1.226
9457
0.0314
0.00487
0.00381
0.00724
1.328
10245
0.0307
0.00571
0.00438
0.00780
1.430
11033
0.0301
0.00663
0.00498
0.00836
1.532
11821
0.0296
0.00761
0.00561
0.00891
1.634
12609
0.0291
0.00865
0.00628
0.00947
1.736
13397
0.0286
0.00977
0.00698
0.01003
1.838
14185
0.0282
0.01095
0.00771
0.01058
1.940
14973
0.0278
0.01220
0.00847
0.01114
2.043
15761
0.0275
0.01352
0.00927
0.01170
2.145
16549
0.0272
0.01491
0.01010
0.01225
2.247
17337
0.0268
0.01636
0.01095
0.01281
2.349
18125
0.0265
0.01788
0.01184
0.01337
2.451
18913
0.0263
0.01947
0.01276
0.01393
2.553
19701
0.0260
0.02113
0.01370
0.01448
2.655
20489
0.0258
0.02285
0.01468
School"
0.01504
2.758
21277
0.0255 "Old 0.02465
0.01569
0.01560
2.860
22065
0.0253 Exact0.02651
0.01672
0.01615
2.962
22854
0.0251
0.02843
0.01779
0.01671
3.064
23642
0.0249
0.03043
0.01888
0.01727
3.166
24430
0.0247
0.03249
0.02000
0.03
0.04
0.05
0.06
0.07
0.08
0.09
0.10
0.01783
3.268
25218
0.0245
0.03462
0.02115
Pressure Drop (psi/ft)
0.01838
3.370
26006
0.0243
0.03682
0.02233
0.01894
3.472
26794
0.0242
0.03908
0.02354
0.01950
3.575
27582
0.0240
0.04142
0.02477
0.02005
3.677
28370
0.0238
0.04382
0.02604

Problem 8.161

Given:

Flow from large reservoir

Find:

Diameter for flow rates in two pipes to be same

Solution:
Basic equations

[Difficulty: 5]

2
2
⎞ ⎛⎜ p
⎞
⎛⎜ p
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = hl
2
2
⎝
⎠ ⎝ρ
⎠

2

hl = f ⋅

2

L V
⋅
D 2

V
h lm = Kent⋅
2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1
Available data

D = 50⋅ mm

H = 10⋅ m

L = 10⋅ m

e = 0.15⋅ mm

(Table 8.1)

ν = 1 ⋅ 10

2
−6 m

⋅

Kent = 0.5

(Table A.8)

s

For the pipe of length L the energy equation becomes
2

V2
L V2
g ⋅ z1 − z2 − ⋅ V2 = f ⋅ ⋅
+ Kent⋅
2
D 2
2

(

Solving for V

)

2

2

and

V2 = V

z1 − z2 = H

2⋅ g⋅ H

V=
f⋅

We also have

1

L

+ Kent + 1
D

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

(1)

Re =

(2)

V⋅ D

(3)

ν

We must solve Eqs. 1, 2 and 3 iteratively.

Make a guess for V

and

Then

V = 1⋅

m
s

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝
2⋅ g⋅ H

V =
f⋅

Repeating

Then

Re =

L

+ Kent + 1
D

V⋅ D
ν

Re =

V⋅ D

Re = 5.00 × 10

ν

f = 0.0286

V = 5.21

m
s

Re = 2.61 × 10

5

4

and

Then

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠
2⋅ g⋅ H

V =
f⋅

Repeating

and

Then

Re =

V = 5.36

L

+ Kent + 1
D

V⋅ D

⎛ e
⎞
⎜
1
2.51
D
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

π

Q =

4

s

5

f = 0.0267

2⋅ g⋅ H

V =

m

Re = 2.68 × 10

ν

f⋅

Hence

f = 0.0267

V = 5.36

L

+ Kent + 1
D

m
s

3

2

⋅D ⋅V

Q = 0.0105

m

Q = 10.5⋅

s

l
s

This is the flow rate we require in the second pipe (of length 2L)
For the pipe of length 2L the energy equation becomes
2

V2
2 ⋅ L V2
g ⋅ z1 − z2 − ⋅ V2 = f ⋅
⋅
+ Kent⋅
2
2
D
2

(

)

2

Hence

H=

V

2⋅ g

⋅ ⎜⎛ f ⋅

⎝

1

2⋅ L
D

+ Kent + 1⎞

and

Re =

V⋅ D

Re = 2.23 × 10

ν

3

and

V2 = V

z1 − z2 = H

Q = 0.0105

m

Q

V = 3.72

m

D = 0.06⋅ m

Then we have

π
4

5

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

V =

2

⋅D

f = 0.0256

2

Using Eq 4 to find H

V ⎛ 2⋅ L
⋅⎜f ⋅
Hiterate =
+ Kent + 1⎞
2⋅ g ⎝ D
⎠

Hence the diameter is too large: Only a head of

s

(4)

⎠

We must make a guess for D (larger than the other pipe)

Then

2

2

Hiterate = 7.07 m

Hiterate = 7.07 m

But

H = 10 m

would be needed to generate the flow. We make D smaller

s

Try

Then

and

D = 0.055 ⋅ m
Re =

V⋅ D

Re = 2.43 × 10

ν

Q

V =

Then we have

π
4

5

⎞
⎛ e
⎜ D
2.51
= −2.0⋅ log ⎜
+
f
⎝ 3.7 Re⋅ f ⎠

1

V = 4.43
2

⋅D

m
s

f = 0.0261

2

Using Eq 4 to find H

2⋅ L
Hiterate =
+ Kent + 1⎞
⋅ ⎛⎜ f ⋅
2⋅ g ⎝ D
⎠
V

Hence the diameter is too small: A head of

Try

Then

and

D = 0.056 ⋅ m
Re =

Q

V =

Re = 2.39 × 10

ν

But

H = 10 m

Hiterate = 10.97 m would be needed. We make D slightly larger

Then we have

V⋅ D

Hiterate = 10.97 m

π
4

5

⎞
⎛ e
⎜
1
2.51
D
= −2.0⋅ log ⎜
+
f
⎝ 3.7 Re⋅ f ⎠

V = 4.27
2

⋅D

m
s

f = 0.0260

2

Using Eq 4 to find H

V ⎛ 2⋅ L
⋅⎜f ⋅
Hiterate =
+ Kent + 1⎞
2⋅ g ⎝ D
⎠

Hence the diameter is too large A head of

Try

Then

and

Hiterate = 10.02 m

D = 0.05602 ⋅ m Then we have
Re =

V⋅ D

Q
π
4

5

⎞
⎛ e
⎜
1
2.51
D
= −2.0⋅ log ⎜
+
f
⎝ 3.7 Re⋅ f ⎠

But

H = 10 m

would be needed. We can make D smaller

V =

Re = 2.39 × 10

ν

Hiterate = 10.02 m

V = 4.27
2

⋅D

m
s

f = 0.0260

2

Using Eq 4 to find H

V ⎛ 2⋅ L
Hiterate =
+ Kent + 1⎞
⋅⎜f ⋅
2⋅ g ⎝ D
⎠

Hiterate = 10 m

Hence we have

D = 0.05602 m

V = 4.27

3

Check

Q = 0.0105

D = 56.02 ⋅ mm

m

π

s

4

2

⋅ D ⋅ V = 0.0105

3

m
s

m
s

But

H = 10 m

Problem 8.162

Given:

Hydraulic press system

Find:

Minimum required diameter of tubing

Solution:
Basic equations

[Difficulty: 3]

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = hl
2
2
⎝
⎠ ⎝ρ
⎠

L V2
hl = f ⋅ ⋅
D 2

2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) Ignore minor losses
The flow rate is low and it's oil, so try assuming laminar flow. Then, from Eq. 8.13c
1

∆p =

128⋅ μ ⋅ Q⋅ L

D=

or

4

π⋅ D

− 2 N⋅s

μ = 3.5 × 10

⋅

ft

×

2

1⋅

m

4

lbf ⋅ s

0.0209⋅
For SAE 10W oil at 100 oF (Fig. A.2, 38oC)

⎛ 128⋅ μ ⋅ Q⋅ L ⎞
⎜ π⋅ ∆p
⎝
⎠

2

− 4 lbf ⋅ s

μ = 7.32 × 10

N⋅s

⋅

ft

2

2

m

1

Hence

3
2
2
⎡ 128
ft
in
1⋅ ft ⎞ ⎤⎥
− 4 lbf ⋅ s
⎢
D =
× 7.32 × 10
× 0.02⋅
× 165⋅ ft ×
× ⎛⎜
2
s
( 3000 − 2750) ⋅ lbf ⎝ 12⋅ in ⎠ ⎥
⎢π
ft
⎣
⎦

Check Re to assure flow is laminar

From Table A.2

SG oil = 0.92

Re = 0.92 × 1.94⋅

V=

Q
A

4⋅ Q

=

2

π⋅ D

Re =

so

slug
ft

3

V=

× 15.4⋅

ft
s

×

0.488
⋅ ft ×
12

4
π

× 0.02⋅

ft

3

s

×

⎛ 12 ⋅ 1 ⎞
⎜ 0.488 ft
⎝
⎠

4

D = 0.0407⋅ ft

D = 0.488⋅ in

2

V = 15.4⋅

ft
s

SG oil⋅ ρH2O⋅ V⋅ D
μ
ft

2
−4

7.32 × 10

×
lbf ⋅ s

lbf ⋅ s

2

slug ⋅ ft

Hence the flow is laminar, Re < 2300. The minimum diameter is 0.488 in, so 0.5 in ID tube should be chosen

Re = 1527

Problem 8.163

Given:

Flow out of reservoir by pump

Find:

Smallest pipe needed

Solution:

[Difficulty: 4]

2
2
2
2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
Le V2
V2
1
L V2
2
⎜ ρ + α ⋅ 2 + g ⋅ z1 − ⎜ ρ + α ⋅ 2 + g⋅ z2 = h lT h lT = h l + hlm = f ⋅ D ⋅ 2 + Kent ⋅ 2 + f ⋅ D ⋅ 2
⎝
⎠ ⎝
⎠

Basic equations

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) Vl <<
Hence for flow between the free surface (Point 1) and the pump inlet (2) the energy equation becomes

−

Solving for h 2 = p 2/ρg

2

p2

− g ⋅ z2 −
ρ

2

=−

2
2
2
Le V2
V
L V
V
− g ⋅ z2 −
= f⋅ ⋅
+ Kent ⋅
+ f ⋅ ⋅ and
ρ
2
D 2
2
D 2

p2

2
Le ⎞
⎤
V ⎡ ⎛L
h 2 = −z2 −
⋅ ⎢f ⋅ ⎜ +
+ Kent⎥
2⋅ g ⎣ ⎝ D
D⎠
⎦

Kent = 0.78

From Table 8.2

V2

and we are given

Q = 6⋅

(1)

for rentrant, and from Table 8.4 two standard elbows lead to

Le
D

e = 0.046 ⋅ mm (Table 8.1) ν = 1.51 × 10

We also have

p = ρ⋅ g ⋅ h

2
−6 m

⋅

Q = 6 × 10

s

(Table A.8)

s

3
−3m

L

= 2 × 30 = 60

z2 = 3.5⋅ m L = ( 3.5 + 4.5) ⋅ m L = 8 m

s

h 2 = −6 ⋅ m

Equation 1 is tricky because D is unknown, so V is unknown (even though Q is known), L/D and Le/D are unknown, and Re and
hence f are unknown! We COULD set up Excel to solve Eq 1, the Reynolds number, and f, simultaneously by varying D, but here
we try guesses:
D = 2.5⋅ cm

V =

4⋅ Q
2

π⋅ D

Given

⎞
⎛ e
⎜
1
2.51
D
= −2.0⋅ log ⎜
+
f
⎝ 3.7 Re⋅ f ⎠

V = 12.2

m
s

Re =

V⋅ D
ν

f = 0.0238

2
Le ⎞
⎤
V ⎡ ⎛L
⋅ ⎢f ⋅ ⎜ +
+ Kent⎥ h 2 = −78.45 m
h 2 = −z2 −
2⋅ g ⎣ ⎝ D
D⎠
⎦

but we need -6 m!

Re = 2.02 × 10

5

D = 5 ⋅ cm V =

4⋅ Q

V = 3.06

2

π⋅ D

Given

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

m
s

V =

4⋅ Q
2

π⋅ D

Given

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

V⋅ D
ν

Re = 1.01 × 10

5

Re = 9.92 × 10

4

f = 0.0219

2
Le ⎞
⎤
V ⎡ ⎛L
h 2 = −z2 −
⋅ ⎢f ⋅ ⎜ +
+ Kent⎥ h 2 = −6.16 m
2⋅ g ⎣ ⎝ D
D⎠
⎦

D = 5.1⋅ cm

Re =

V = 2.94

m
s

but we need -6 m!

Re =

f = 0.0219

2
Le ⎞
⎤
V ⎡ ⎛L
h 2 = −z2 −
⋅ ⎢f ⋅ ⎜ +
+ Kent⎥ h 2 = −5.93 m
D⎠
2⋅ g ⎣ ⎝ D
⎦

To within 1%, we can use 5-5.1 cm tubing; this corresponds to standard 2 in pipe.

V⋅ D
ν

Problem 8.164

Given:

Flow of air in rectangular duct

Find:

Minimum required size

Solution:

[Difficulty: 4]

2
2
⎞ ⎛⎜ p
⎞
⎛⎜ p
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = hl
2
2
⎝
⎠ ⎝ρ
⎠

Basic equations

2

hl = f ⋅

4⋅ A
Dh =
Pw

L V
⋅
Dh 2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) Ignore minor losses
3

Q = 1⋅

Available data

m

L = 100 ⋅ m

s

kg
ρH2O = 999 ⋅
3
m

ρ = 1.25⋅

∆h = 25⋅ mm

ar = 3

e = 0⋅ m

2
−5 m

kg

ν = 1.41⋅ 10

3

⋅

(Table A.10)

s

m

Hence for flow between the inlet (Point 1) and the exit (2) the energy equation becomes
p1
ρ

−

p2
ρ

=

2

∆p

= f⋅

ρ

∆p = ρH2O⋅ g ⋅ ∆h

and

For a rectangular duct

∆p = 245 Pa
2

4⋅ b⋅ h

2 ⋅ h ⋅ ar

2 ⋅ h ⋅ ar
Dh =
=
=
2⋅ ( b + h)
h ⋅ ( 1 + ar)
1 + ar
2

Hence

L V
⋅
Dh 2

∆p = ρ⋅ f ⋅ L⋅

V

2

⋅

( 1 + ar)
2 ⋅ h ⋅ ar

2

= ρ⋅ f ⋅ L⋅
1

Solving for h

⎡ ρ⋅ f ⋅ L⋅ Q2 ( 1 + ar) ⎤
⎢
⎥
h=
⋅
⎢ 4⋅ ∆p
3 ⎥
ar
⎣
⎦

Q

2

2 b

A = b⋅ h = h ⋅

and also

⋅

( 1 + ar)

2⋅ A

2 ⋅ h ⋅ ar

2

=

ρ⋅ f ⋅ L⋅ Q
4

⋅

h

2

= h ⋅ ar

( 1 + ar) 1
⋅
5
3
h
ar

5

(1)

Equation 1 is tricky because h is unknown, so Dh is unknown, hence V is unknown (even though Q is known), and Re and hence f
are unknown! We COULD set up Excel to solve Eq 1, the Reynolds number, and f, simmultaneously by varying h, but here we try
guesses:
1

f = 0.01

⎡ ρ⋅ f ⋅ L⋅ Q2 ( 1 + ar)⎤
⎥
h = ⎢
⋅
⎢ 4 ⋅ ∆p
3 ⎥
ar
⎣
⎦

5

h = 0.180 m

V =

Q
2

h ⋅ ar

V = 10.3

m
s

2 ⋅ h ⋅ ar
Dh =
1 + ar

Given

Dh = 0.270 m

Re =

⎛ e
⎞
⎜
D
h
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

V⋅ Dh
ν

Re = 1.97 × 10

5

f = 0.0157

1

⎡ ρ⋅ f ⋅ L⋅ Q2 ( 1 + ar)⎤
⎥
h = ⎢
⋅
⎢ 4 ⋅ ∆p
3 ⎥
ar
⎣
⎦
2 ⋅ h ⋅ ar
Dh =
1 + ar

Given

5

h = 0.197 m

V =

Q
2

V = 8.59

m

V = 8.53

m

V = 8.53

m

h ⋅ ar

Dh = 0.295 m

Re =

⎛ e
⎞
⎜
D
h
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

V⋅ Dh
ν

s

5

Re = 1.8 × 10

f = 0.0160

1

⎡ ρ⋅ f ⋅ L⋅ Q2 ( 1 + ar)⎤
⎥
h = ⎢
⋅
⎢ 4 ⋅ ∆p
3 ⎥
ar
⎣
⎦
2 ⋅ h ⋅ ar
Dh =
1 + ar

Given

Hence

5

h = 0.198 m

Dh = 0.297 m

h = 198 mm

Q
2

h ⋅ ar
Re =

⎛ e
⎞
⎜
D
h
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠
h = 0.198 m

V =

V⋅ Dh
ν

Re = 1.79 × 10

Dh = 0.297 m

5

f = 0.0160

b = 2⋅ h

b = 395 ⋅ mm

V =

Q
2

h ⋅ ar
2 ⋅ h ⋅ ar
Dh =
1 + ar

s

Re =

V⋅ Dh

In this process h and f have converged to a solution. The minimum dimensions are 198 mm by 395 mm

ν

s

Re = 1.79 × 10

5

Problem 8.165

[Difficulty: 4]

Problem 8.166

Given:

Flow of air in square duct

Find:

Minimum required size

Solution:
Basic equations

[Difficulty: 4]

2
2
⎞ ⎛⎜ p
⎞
⎛⎜ p
2
V1
V2
1
L V
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
h
=
f
⋅
⋅
−
=
h
⎜ρ
⎜
1
2
l l
2
2
Dh 2
⎝
⎠ ⎝ρ
⎠

4⋅ A
Dh =
Pw

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) Ignore minor losses
Available data

Q = 1500⋅ cfm

ρH2O = 1.94⋅

L = 1000⋅ ft

− 4 ft

slug
ft

e = 0.00015 ⋅ ft

ν = 1.47⋅ 10

3

⋅

2

s

ρ = 0.00247 ⋅

(Table 8.1)

slug
ft

∆h = 0.75⋅ in

(Table A.9)

3

Hence for flow between the inlet (Point 1) and the exit (2) the energy equation becomes
p1
ρ

−

p2
ρ

∆p

=

ρ

2

= f⋅

For a square duct

4⋅ h⋅ h
Dh =
=h
2⋅ ( h + h)

Hence

∆p = ρ⋅ f ⋅ L⋅

L V
⋅
Dh 2

2

V

2⋅ h

∆p = 3.90

lbf
ft

A = h⋅ h = h

and also

2

= ρ⋅ f ⋅ L⋅

∆p = ρH2O⋅ g ⋅ ∆h

and

2

∆p = 0.0271⋅ psi

2

2

Q

2

2⋅ h⋅ A

=

ρ⋅ f ⋅ L⋅ Q
2⋅ h

5

1

Solving for h

⎛ ρ⋅ f ⋅ L⋅ Q2 ⎞
h=⎜
⎝ 2⋅ ∆p ⎠

5

(1)

Equation 1 is tricky because h is unknown, so Dh is unknown, hence V is unknown (even though Q is known), and Re and hence f
are unknown! We COULD set up Excel to solve Eq 1, the Reynolds number, and f, simmultaneously by varying h, but here we try
guesses:
1

f = 0.01

Dh = h

⎛ ρ⋅ f ⋅ L⋅ Q2 ⎞
h = ⎜
⎝ 2 ⋅ ∆p ⎠
Dh = 1.15⋅ ft

5

h = 1.15⋅ ft

V =

Q
h

Re =

V⋅ Dh
ν

V = 19.0⋅

2

Re = 1.48 × 10

5

ft
s

⎛ e
⎞
⎜
Dh
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

Given

f = 0.0174

1

⎛ ρ⋅ f ⋅ L⋅ Q2 ⎞
h = ⎜
⎝ 2 ⋅ ∆p ⎠

5

h = 1.28⋅ ft

V =

Q
h

Dh = h

Dh = 1.28⋅ ft

Re =

⎛ e
⎞
⎜
Dh
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

Given

V = 15.2⋅

2

V⋅ Dh
ν

ft
s

Re = 1.33 × 10

5

f = 0.0177

1

⎛ ρ⋅ f ⋅ L⋅ Q2 ⎞
h = ⎜
⎝ 2 ⋅ ∆p ⎠
Dh = h

h = 1.28⋅ ft

V =

Re =

⎛ e
⎞
⎜
D
h
1
2.51
+
= −2.0⋅ log ⎜
f
⎝ 3.7 Re⋅ f ⎠

h = 1.28⋅ ft

Q
h

Dh = 1.28⋅ ft

Given

Hence

5

Dh = h

Dh = 1.28⋅ ft

V⋅ Dh
ν

Re = 1.32 × 10

2

V⋅ Dh
ν

ft
s

Re = 1.32 × 10

f = 0.0177

V =

Q
h

Re =

V = 15.1⋅

2

V = 15.1⋅

ft
s

5

In this process h and f have converged to a solution. The minimum dimensions are 1.28 ft square (15.4 in square)

5

Problem 8.167

Given:

Flow in a tube

Find:

Effect of diameter; Plot flow rate versus diameter

[Difficulty: 3]

Solution:
Basic equations:

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1 2
1
2 2
2 = hl
⎝
⎠ ⎝ρ
⎠

Re =

f =

ρ⋅ V⋅ D

64

μ

(8.29)

2

hl = f ⋅

L V
⋅
D 2

(8.36)

(8.34)

(Laminar)

Re

⎛ e
⎞
⎜
D
1
2.51
(8.37)
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

(Turbulent)

The energy equation (Eq. 8.29) becomes for flow in a tube
2

L V
p 1 − p 2 = ∆p = ρ⋅ f ⋅ ⋅
D 2

This cannot be solved explicitly for velocity V (and hence flow rate Q), because f depends on V; solution for a given diameter D
requires iteration (or use of Solver)

Flow Rate versus Tube Diameter for Fixed Dp
0.8

0.6
3

Q (m /s)
x 10

4

Laminar
Turbulent

0.4

0.2

0.0
0.0

2.5

5.0
D (mm)

7.5

10.0

Problem 8.169

[Difficulty: 3] Part 1/2

Problem 8.169

[Difficulty: 3] Part 2/2

Problem 8.170

[Difficulty: 3]

Problem 8.171

[Difficulty: 4]

Problem 8.172
Problem 8.151

[Difficulty: 5] Part 1/2

Problem 8.172

[Difficulty: 5] Part 2/2

Problem 8.173

Given:

Flow through water pump

Find:

Power required

Solution:
Basic equations

[Difficulty: 2]

2
2
⎞ ⎜⎛ p
⎞
Vs
⎜⎛ p d Vd
s
h pump = ⎜
+
+ g ⋅ zd − ⎜
+
+ g ⋅ zs
2
2
⎝ρ
⎠ ⎝ρ
⎠

V=

Q
A

=

4⋅ Q
2

π⋅ D

Assumptions: 1) Steady flow 2) Incompressible flow 3) Uniform flow
3

Hence for the inlet

4
lbm
1 ⋅ slug
ft
Vs =
× 25⋅
×
×
×
π
s
32.2⋅ lbm 1.94⋅ slug

For the outlet

4
lbm
1 ⋅ slug
ft
Vd =
× 25⋅
×
×
×
π
s
32.2⋅ lbm 1.94⋅ slug

3

Then

h pump =

pd − ps
ρ

2

+

⎛ 12 ⋅ 1 ⎞
⎜ 3 ft
⎝
⎠

2

⎛ 12 ⋅ 1 ⎞
⎜ 2 ft
⎝
⎠

2

ft
Vs = 8.15⋅
s

p s = −2.5⋅ psi

ft
Vd = 18.3⋅
s

p d = 50⋅ psi

2

Vd − Vs

Wpump = mpump⋅ h pump

and

2

2
2
⎛⎜ p − p
Vd − Vs ⎞
d
s
Wpump = mpump⋅ ⎜
+
2
⎝ ρ
⎠

Note that the software cannot render a dot, so the power is Wpump and mass flow rate is mpump!

⎡
lbm
1 ⋅ slug
lbf
Wpump = 25⋅
×
× ⎢( 50 − −2.5) ⋅
×
s
32.2⋅ lbm ⎢
2
in
⎣
Wpump = 5.69⋅ hp

For an efficiency
of

η = 70⋅ %

2
2
3
2
1
lbf ⋅ s ⎤⎥
1 ⋅ hp
2
2 ⎛ ft ⎞
⎛ 12⋅ in ⎞ × ft
+
×
18.3
−
8.15
×
×
⋅
⎜ 1 ⋅ ft
⎜s
2
⎥
1.94
⋅
slug
slug
⋅
ft
ft⋅ lbf
⎝
⎠
⎝ ⎠
⎦ 550 ⋅

(

)

s

Wrequired =

Wpump
η

Wrequired = 8.13⋅ hp

Problem 8.174

Given:

Flow through water pump

Find:

Power required

Solution:
Basic equations

[Difficulty: 1]

2
2
⎞ ⎜⎛ p
⎞
Vs
⎜⎛ p d Vd
s
h pump = ⎜
+
+ g ⋅ zd − ⎜
+
+ g ⋅ zs
2
2
⎝ρ
⎠ ⎝ρ
⎠

Assumptions: 1) Steady flow 2) Incompressible flow 3) Uniform flow
In this case we assume

Ds = Dd

The available data is

∆p = 35⋅ psi

Then

h pump =

Vs = Vd

so

Q = 500 ⋅ gpm

pd − ps
ρ

=

∆p

η = 80⋅ %

Wpump = mpump⋅ h pump

and

ρ

∆p
∆p
Wpump = mpump⋅
= ρ⋅ Q⋅
ρ
ρ
Wpump = Q⋅ ∆p

Wpump = 5615

ft⋅ lbf
s

Wpump = 10.2⋅ hp

Note that the software cannot render a dot, so the power is Wpump and mass flow rate is mpump!

For an efficiency of

η = 80 %

Wrequired =

Wpump
η

Wrequired = 12.8⋅ hp

Problem 8.175

Given:

Flow in pipeline with pump

Find:

Pump pressure Δp

Solution:
Basic equations

[Difficulty: 3]

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞ ∆p
V1
V2
1
pump
2
= h lT
⎜ ρ + α⋅ 2 + g⋅ z1 − ⎜ ρ + α⋅ 2 + g⋅ z2 +
ρ
⎝
⎠ ⎝
⎠
2

hl = f ⋅

L V
⋅
D 2

h lm = f ⋅

Le V2
⋅
D 2

2

h lm = K⋅

V

2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1
Available data

From Section 8.8

l

L = 50⋅ m

D = 125 ⋅ mm

Q = 50⋅

e = 0.15⋅ mm

p 1 = 150 ⋅ kPa

p 2 = 0 ⋅ kPa

z1 = 15⋅ m

z2 = 30⋅ m

Kent = 0.5

Lelbow90 = 30⋅ D

Lelbow90 = 3.75 m

LGV = 8 ⋅ D

LAV = 150 ⋅ D

LAV = 18.75 m

ρ = 1000

s

− 3 N⋅ s

kg

μ = 1.3⋅ 10

3

m
Hence

and

V =

Q

V = 4.07

⎛ π⋅ D
⎜
⎝ 4 ⎠
2⎞

m

Re =

s

⋅

(Table A.8)

2

m

ρ⋅ V⋅ D

5

Re = 3.918 × 10

μ

⎛ e
⎞
⎜
D
1
2.51
+
= −2 ⋅ log⎜
3.7
f
Re⋅ f ⎠
⎝

Given

LGV = 1 m

f = 0.0212

The loss is then
Lelbow90
LGV
LAV
⎞
⎛ L
+ 7⋅ f ⋅
+ 5⋅ f ⋅
+ f⋅
+ Kent
2 ⎝ D
D
D
D
⎠
2

h lT =

V

The energy equation becomes

⋅⎜f ⋅

p1 − p2
ρ

2

h lT = 145

m

2

s

2
∆ppump
V
+ g ⋅ z1 − z2 −
+
= h lT
2
ρ

(

(

)

)

2

(

V
∆ppump = ρ⋅ h lT + ρ⋅ g ⋅ z2 − z1 + ρ⋅
+ p2 − p1
2

)

∆ppump = 150 ⋅ kPa

Problem 8.176

[Difficulty: 3]

Problem 8.177

[Difficulty: 3]

Problem 8.178

Given:

Flow in air conditioning system

Find:

Pressure drop; cost

[Difficulty: 3]

Solution:
Basic equations

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1
2 = hl
2
2
⎝
⎠ ⎝ρ
⎠

2

hl = f ⋅

L V
⋅
D 2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1
3

Available data

L = 5 ⋅ km
ρ = 1000

D = 0.75⋅ m
kg
3

− 3 N⋅ s

μ = 1.3⋅ 10

m
V =

Then

so

Q

⎛ π⋅ D
⎜
⎝ 4 ⎠

Given

The energy equation becomes

2⎞

e = 0.046 ⋅ mm
⋅

Q = 0.65⋅

m
s

(Table A.8)

2

m
V = 1.47

m

Re =

s

⎛ e
⎞
⎜ D
1
2.51
+
= −2 ⋅ log⎜
f
⎝ 3.7 Re⋅ f ⎠
∆p = f ⋅

L
D

ρ⋅ V⋅ D
μ

f = 0.0131

2

⋅ ρ⋅

V

2

and

Wpump = Q⋅ ∆p

The required power is

Power =

The daily cost is then

C = cost⋅ Power⋅ day

Wpump
ηp ⋅ ηm

∆p = 94.4⋅ kPa
Wpump = 61.3⋅ kW

Power = 84.9⋅ kW
C = 285 dollars

ηp = 85⋅ %
cost =

ηm = 85⋅ %

0.14

(dollars)

kW⋅ hr

Re = 8.49 × 10

5

Problem 8.179

[Difficulty: 4]









Given:

Fire nozzle/pump system

Find:

Design flow rate; nozzle exit velocity; pump power needed

Solution:
Basic equations

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V2
V3
2
3
⎜ ρ + α⋅ 2 + g⋅ z2 − ⎜ ρ + α⋅ 2 + g⋅ z3 = h l
⎝
⎠ ⎝
⎠

L V2
hl = f ⋅ ⋅
D 2

2

for the hose

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 2 and 3 is approximately 1 4) No minor loss
p3
ρ

+

V3

2

p4

+ g ⋅ z3 =
+
ρ

2

V4

2

2

+ g ⋅ z4

for the nozzle (assuming Bernoulli applies)

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V2
V1
2
1
⎜ ρ + α⋅ 2 + g⋅ z2 − ⎜ ρ + α⋅ 2 + g⋅ z1 = h pump
⎝
⎠ ⎝
⎠

for the pump

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) No minor loss

Hence for the hose

∆p
ρ

=

p2 − p3
ρ

2

L V
= f⋅ ⋅
D 2

or

V=

2 ⋅ ∆p⋅ D
ρ⋅ f ⋅ L

We need to iterate to solve this for V because f is unknown until Re is known. This can be done using Excel's Solver, but here:
∆p = 750 ⋅ kPa

L = 100 ⋅ m

e = 0

D = 3.5⋅ cm

ρ = 1000⋅

kg

ν = 1.01 × 10

3

2
−6 m

⋅

m
Make a guess for f

Given

f = 0.01

2 ⋅ ∆p⋅ D
ρ⋅ f ⋅ L

⎞
⎛ e
⎜
1
2.51
D
= −2.0⋅ log ⎜
+
3.7
f
Re⋅ f ⎠
⎝
V =

Given

V =

2 ⋅ ∆p⋅ D
ρ⋅ f ⋅ L

V = 5.92

m
s

⎛ e
⎞
⎜
1
D
2.51
= −2.0⋅ log ⎜
+
3.7
f
Re⋅ f ⎠
⎝

V = 7.25

m
s

Re =

V⋅ D

Re = 2.51 × 10

ν

f = 0.0150

Re =

V⋅ D
ν

f = 0.0156

Re = 2.05 × 10

5

5

s

2 ⋅ ∆p⋅ D

V =

V = 5.81

ρ⋅ f ⋅ L

⎛ e
⎞
⎜
D
1
2.51
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

Given

V = 5.80

ρ⋅ f ⋅ L
2

Q = V⋅ A =

p3

For the nozzle

ρ

+

V3

V4 =

2

π⋅ D
4

⋅V

p4

+ g ⋅ z3 =
+
ρ
3 N

2 × 700 × 10 ⋅

2

m

V4
2

m

Re =

s

2

× ( 0.035 ⋅ m) × 5.80⋅

4

p 1 = 350 ⋅ kPa

Ppump = ρ⋅ Q⋅

(p2 − p1)
ρ

Ppump
η

(

= Q⋅ p 2 − p 1

)

ν

Re = 2.01 × 10

5

V⋅ D

Re = 2.01 × 10

5

ν

3
−3m

m

Q = 5.58 × 10

s

+ g ⋅ z4

m

1000⋅ kg

×

so

kg⋅ m
2

s ⋅N

+ ⎛⎜ 5.80⋅

⎝

m⎞

p 2 = 700 ⋅ kPa + 750 ⋅ kPa

The pump power is Ppump = mpump⋅ h pump

V⋅ D

s

2

3

Q = 0.335 ⋅

s

(

2

3

×

s

2⋅ p3 − p4

V4 =

ρ

)

m

min

+ V3

2

m
V4 = 37.9
s

⎠

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V2
V1
2
1
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
2
1 = h pump
2
2
⎝
⎠ ⎝ρ
⎠

For the pump

Prequired =

π

Q =

2

Re =

f = 0.0156

2 ⋅ ∆p⋅ D

V =

m

so

h pump =

p2 − p1
ρ

p 2 = 1450⋅ kPa

P pump and mpump are pump power and mass flow rate (software can't do a dot!)

Ppump = 5.58 × 10

Prequired =

3
−3 m

6.14⋅ kW
70⋅ %

⋅

s

3 N

× ( 1450 − 350 ) × 10 ⋅

2

Ppump = 6.14⋅ kW

m

Prequired = 8.77⋅ kW

Problem 8.180

[Difficulty: 4] Part 1/2

Problem 8.180

[Difficulty: 4] Part 2/2

Problem 8.181

Given:

Flow in water fountain

Find:

Daily cost

[Difficulty: 2]

Solution:
Basic equations

Wpump  Q ∆p

∆p  ρ g  H

Assumptions: 1) Steady flow 2) Incompressible flow 3) α is approximately 1
3

Available data

m

Q  0.075 

ρ  999 

s

kg
3

m
Hence

H  10 m

Cost 

ηp  85 %

0.14
kW hr

(dollars)

∆p  ρ g  H

∆p  98 kPa

Wpump  Q ∆p

Wpump  7.35 kW

Power 

Wpump
ηp  ηm

C  Cost Power day

Power  10.2 kW

C  34.17

(dollars)

ηm  85 %

Problem 8.182

[Difficulty: 3]

Problem 8.183

Given:

Flow in a pump testing system

Find:

Flow rate; Pressure difference; Power

[Difficulty: 4]

Solution:
Governing equations:

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1 2
1
2 2
2 = h lT =
⎝
⎠ ⎝ρ
⎠

Re =

f =

2

ρ⋅ V⋅ D

hl = f ⋅

μ

64

L V
⋅
D 2

(8.36)

h lm = f ⋅

(8.34)

∑
major

Le V2
⋅
D 2

hl +

∑

h lm (8.29)

minor

(8.40b)

⎛ e
⎞
⎜
D
1
2.51
(8.37)
+
= −2.0⋅ log ⎜
3.7
f
Re
⋅
f
⎝
⎠

(Laminar)

Re

(Turbulent)

The energy equation (Eq. 8.29) becomes for the circuit (1 = pump outlet, 2 = pump inlet)
p1 − p2
ρ

2

= f⋅
2

or

∆p = ρ⋅ f ⋅

V

2

2

2

L V
V
V
⋅
+ 4 ⋅ f ⋅ Lelbow⋅
+ f ⋅ Lvalve⋅
D 2
2
2

⎛L

⋅⎜

⎝D

+ 4⋅

Lelbow
D

+

Lvalve ⎞
D

⎠

(1)

This must be matched to the pump characteristic equation; at steady state, the pressure generated by the pump just equals that
lost to friction in the circuit
4

2

∆p = 750 − 15 × 10 ⋅ Q

(2)

Finally, the power supplied to the pump, efficiency η, is
Power =
In Excel:

Q⋅ ∆p
η

(3)

Circuit and Pump Pressure Heads
1200

Dp (kPa)

1000
800
600
Circuit

400

Pump

200
0
0.00

0.01

0.02

0.03

0.04
3

Q (m /s)

0.05

0.06

0.07

Problem 8.184 Equations

Given:

Pump/pipe system

Find:

Flow rate, pressure drop, and power supplied; Effect of roughness

[Difficulty: 4]

Solution:
Re =

f =

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1 2
1
2 2
2 = h lT − ∆hpump
⎝
⎠ ⎝ρ
⎠
⎛ e
⎞
⎜ D
1
2.51
(Laminar)
(Turbulent)
+
= −2.0⋅ log ⎜
3.7
f
Re
⋅
f
⎝
⎠

ρ⋅ V⋅ D
μ
64

Re

2

h lT = f ⋅

L V
⋅
D 2

The energy equation becomes for the system (1 = pipe inlet, 2 = pipe outlet)
2

∆hpump = f ⋅

2

L V
⋅
D 2

∆ppump = ρ⋅ f ⋅

or

L V
⋅
D 2

(1)

This must be matched to the pump characteristic equation; at steady state, the pressure generated by the pump just equals that
lost to friction in the circuit
2

∆ppump = 145 − 0.1⋅ Q

(2)

Finally, the power supplied to the pump, efficiency η,
Power =
In Excel:

Q⋅ ∆p
η

(3)

is

Pum p and Pipe Pressure Heads
Pipe (e = 0.5 in)

160

Pipe (e = 0.25 in)
Pump

Dp (psi)

120
80
40
0
10

15

20
3

Q (ft /s)

25

30

Problem 8.185

Given:

Fan/duct system

Find:

Flow rate

[Difficulty: 3]

Solution:
2
2
⎛⎜ p
⎞ ⎜⎛ p
⎞
V1
V2
1
2
⎜ ρ + α1⋅ 2 + g ⋅ z1 − ⎜ ρ + α2 ⋅ 2 + g⋅ z2 = h lT − ∆hfan
⎝
⎠ ⎝
⎠

2

h lT = f ⋅

2

L V
V
⋅
+ K⋅
Dh 2
2

The energy equation becomes for the system (1 = duct inlet, 2 = duct outlet)
2

∆hfan = f ⋅

2

or

∆ppump =

2

L V
V
⋅
+ K⋅
Dh 2
2
ρ⋅ V
2

⋅ ⎛⎜ f ⋅

L

⎝ Dh

2

+ K⎞

(1)

⎠

where

4⋅ A
4⋅ h
Dh =
=
=h
Pw
4⋅ h

This must be matched to the fan characteristic equation; at steady state, the pressure generated by the fan just equals that lost to
friction in the circuit
2

∆pfan = 1020 − 25⋅ Q − 30⋅ Q
In Excel:

(2)

Fan and Duct Pressure Heads
2500

Dp (Pa)

2000
1500
Duct

1000

Fan
500
0
0.0

0.5

1.0

1.5
3

Q (m /s)

2.0

2.5

3.0

Problem 8.186

[Difficulty: 4] Part 1/2

Problem 8.186

[Difficulty: 4] Part 2/2

Problem 8.187

Given:

Pipe system

Find:

Flow in each branch

Solution:
Governing equations:

[Difficulty: 5]

2
2
 p
  p

V1
V2
1
2
 ρ  α1 2  g  z1   ρ  α2  2  g z2  h l

 


f 

64

(Laminar)

Re

(8.36)

2

(8.29)

e


D
1
2.51


 2.0 log 
0.5
3.7
0.5

f
Re f 


h lT  f 

L V

D 2

(Turbulent)

(8.37)

2

The energy equation (Eq. 8.29) can be simplified to

∆p  ρ f 

L V

D 2

This can be written for each pipe section
In addition we have the following contraints
Q0  Q1  Q4

(1)

∆p  ∆p0  ∆p1

(3)

∆p2  ∆p3

(5)

Q4  Q2  Q3
∆p  ∆p0  ∆p4  ∆p2

We have 5 unknown flow rates (or, equivalently, velocities) and five equations
In Excel:

(8.34)

(2)
(4)

Problem 8.188

Given:

Pipe system

Find:

Flow in each branch if pipe 3 is blocked

Solution:
Governing equations:

[Difficulty: 5]

2
2
 p
  p

V1
V2
1
2
 ρ  α1 2  g  z1   ρ  α2  2  g z2  h l

 


f 

64

(Laminar)

Re

(8.36)

2

(8.29)

e


D
1
2.51


 2.0 log 
0.5
3.7
0.5

f
Re f 


h lT  f 

L V

D 2

(Turbulent)

(8.37)

2

The energy equation (Eq. 8.29) can be simplified to

∆p  ρ f 

L V

D 2

This can be written for each pipe section
In addition we have the following contraints
Q0  Q1  Q4

(1)

∆p  ∆p0  ∆p1

(3)

Q4  Q2
∆p  ∆p0  ∆p4  ∆p2

We have 4 unknown flow rates (or, equivalently, velocities) and four equations
In Excel:

(8.34)

(2)
(4)

Problem 8.189

Given:

Water pipe system

Find:

Flow rates

[Difficulty: 5]

Solution:
Basic equations

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
+
α
⋅
+
g
⋅
z
+
α
⋅
+
g
⋅
z
−
⎜ρ
⎜
1 2
1
2 2
2 = hl
⎝
⎠ ⎝ρ
⎠

f =

64

2

h lT = f ⋅

L V
⋅
D 2

⎛ e
⎞
⎜
D
1
2.51
(Turbulent)
+
= −2.0⋅ log ⎜
3.7
f
Re⋅ f ⎠
⎝

(Laminar)

Re
2

The energy equation can be simplified to

∆p = ρ⋅ f ⋅

L V
⋅
D 2

This can be written for each pipe section
2

Pipe A (first section)

LA VA
∆pA = ρ⋅ fA ⋅
⋅
DA 2

Pipe B (1.5 in branch)

LB VB
∆pB = ρ⋅ fB⋅
⋅
DB 2

Pipe C (1 in branch)

LC VC
∆pC = ρ⋅ fC⋅
⋅
DC 2

Pipe D (last section)

LD VD
∆pD = ρ⋅ fD⋅
⋅
DD 2

(4)

QA = QD

(5)

QA = QB + QC

(6)

∆p = ∆pA + ∆pB + ∆pD

(7)

∆pB = ∆pC

(8)

(1)

2

(2)
2

(3)
2

In addition we have the following contraints

We have 4 unknown flow rates (or velocities) and four equations (5 - 8); Eqs 1 - 4 relate pressure drops to flow rates (velocities)

In Excel:

Problem 8.190

[Difficulty: 4]

Problem 8.191

[Difficulty: 5] Part 1/2

Problem 8.191

[Difficulty: 5] Part 2/2

Problem 8.192

[Difficulty: 2]

Problem 8.193

Given:

Flow through an orifice

Find:

Pressure drop

[Difficulty: 2]

Solution:

(

)

Basic equation

mactual = K⋅ At⋅ 2 ⋅ ρ⋅ p 1 − p 2 = K⋅ At⋅ 2 ⋅ ρ⋅ ∆p

For the flow coefficient

K = K⎜ ReD1 ,

At 65oC,(Table A.8)

⎞

⎛

Dt

⎝

D1
⎠

ρ = 980 ⋅

kg

ν = 4.40 × 10

3

2
−7 m

⋅

m
V=

Q

V =

A

ReD1 =

β=

Note that mactual is mass flow rate (the
software cannot render a dot!)

V⋅ D

4
π

×

s

1
( 0.15⋅ m)

2

× 20⋅

L
s

m
ReD1 = 1.13⋅ × 0.15⋅ m ×
s

ν

Dt

β =

D1

3

×

0.001 ⋅ m

V = 1.13

1⋅ L
s
−7

4.40 × 10

2

⋅m

75

K = 0.624

Then

2
2
⎛ mactual ⎞ 1
ρ⋅ Q ⎞ 1
ρ
Q ⎞
∆p = ⎜
⋅
= ⎛⎜
⋅
= ⋅ ⎛⎜
⎝ K⋅ At ⎠ 2⋅ ρ ⎝ K⋅ At ⎠ 2⋅ ρ 2 ⎝ K⋅ At ⎠

s

ReD1 = 3.85 × 10

β = 0.5

150

From Fig. 8.20

m

2

⎡ L 0.001 ⋅ m3
⎤
1
4
1
⎥
∆p =
× 980 ⋅
×
×
×
× ⎢20⋅ ×
2
3 ⎢
s
1⋅ L
0.624
π
2⎥
m
( 0.075 ⋅ m) ⎦
⎣
1

kg

2

∆p = 25.8⋅ kPa

5

Problem 8.194

Given:

Reservoir-pipe system

Find:

Orifice plate pressure difference; Flow rate

[Difficulty: 3]

Solution:
Basic equations:

2
2
⎛⎜ p
⎞ ⎛⎜ p
⎞
V1
V2
1
2
⎜ ρ + α1⋅ 2 + g ⋅ z1 − ⎜ ρ + α2 ⋅ 2 + g⋅ z2 = h lT = hl + Σh lm(8.29)
⎝
⎠ ⎝
⎠
2

hl = f ⋅

f =

64

L V
⋅
D 2

2

(8.34)

(Laminar)

h lm = K⋅

(8.36)

Re

V

(8.40a)

2
e
⎞
⎜⎛
D
1
2.51
⎟
+
= −2.0⋅ log ⎜
0.5
3.7
0.5
⎜
f
Re⋅ f ⎠
⎝

(Turbulent)

(8.37)

2

There are three minor losses: at the entrance; at the orifice plate; at the exit. For each
2

The energy equation (Eq. 8.29) becomes (α = 1)

g ⋅ ∆H =

V

2

⋅ ⎛⎜ f ⋅

L

⎝ D

h lm = K⋅

+ Kent + Korifice + Kexit⎞

⎠

V

2
(1)

(ΔH is the difference in reservoir heights)

This cannot be solved for V (and hence Q) because f depends on V; we can solve by manually iterating, or by using Solver
The tricky part to this problem is that the orifice loss coefficient Korifice is given in Fig. 8.23 as a percentage of pressure differential

∆p across the orifice, which is unknown until V is known!
The mass flow rate is given by

mrate = K⋅ At⋅ 2 ⋅ ρ⋅ ∆p

(2)

where K is the orifice flow coefficient, At is the orifice area, and Δp is the pressure drop across the orifice
Equations 1 and 2 form a set for solving for TWO unknowns: the pressure drop Δp across the orifice (leading to a value for Korifice)
and the velocity V. The easiest way to do this is by using Solver

In Excel:

Problem 8.195

[Difficulty: 2]

Given:

Flow through a venturi meter (NOTE: Throat is obviously 3 in not 30 in!)

Find:

Flow rate

Solution:
Basic equation

C⋅ At

mactual =

4

(

C⋅ At

)

⋅ 2 ⋅ ρ⋅ p 1 − p 2 =

⋅ 2 ⋅ ρ⋅ ∆p

Note that mactual is mass flow rate (the
software cannot render a dot!)

4

1−β

1−β

For ReD1 > 2 x 105, 0.980 < C < 0.995. Assume C = 0.99, then check Re
β=

Also

Then

Dt

β =

D1

β = 0.5

6

∆p = ρHg⋅ g ⋅ ∆h = SG Hg⋅ ρ⋅ g ⋅ ∆h

Q=

mactual
ρ

V=

C⋅ At

=

Q

4⋅ Q

ReD1 =

⋅ 2 ⋅ ρ⋅ SGHg⋅ ρ⋅ g ⋅ ∆h =

4 ⋅ ρ⋅ 1 − β

π⋅ C⋅ Dt

π⋅ D1

⎛ 1 ⋅ ft⎞ × 2 × 13.6 × 32.2⋅ ft × 1⋅ ft
⎜4
2
⎝ ⎠
s

V =

2

− 6 ft

⋅

4
π

1

×

⎛ 1 ⋅ ft⎞
⎜2
⎝ ⎠

2

2
4

⋅ 2 ⋅ SGHg⋅ g ⋅ ∆h

4⋅ 1 − β

2

4

At 75oF,(Table A.7) ν = 9.96 × 10

2
4

× 0.99 ×

1 − 0.5

A

⋅ 2 ⋅ ρ⋅ ∆p =

ρ⋅ 1 − β

4×
=

π⋅ C⋅ Dt

4

π

Q =

Hence

3

× 1.49⋅

ft

Q = 1.49⋅

ft

V = 7.59⋅

ft

3

s

3

s

s

2

s

V⋅ D1
ν

Thus ReD1 > 2 x 105. The volume flow rate is

ft 1
ReD1 = 7.59⋅ × ⋅ ft ×
s
2

Q = 1.49⋅

ft

3

s

s
−6

9.96 × 10

⋅ ft

2

ReD1 = 3.81 × 10

5

Problem 8.196

Given:

Flow through an venturi meter

Find:

Flow rate

[Difficulty: 2]

Solution:
Basic equation

C At

mactual 

4





 2 ρ p 1  p 2 

C At

 2 ρ ∆p
4

1 β

1 β

Note that mactual is mass flow rate (the
software cannot render a dot!)

For ReD1 > 2 x 105, 0.980 < C < 0.995. Assume C = 0.99, then check Re
Available data

D1  2 in

Dt  1 in

∆p  25 psi

ρ  1.94

slug
ft

β 

Then

Q

Q 

Dt

β  0.5

D1
mactual
ρ

C At



At 68oF(Table A.7)

V

C  0.99

and assume

 2 ρ ∆p
4

ρ 1  β

π C Dt

2

2  ∆p



4 1  β

ρ

Q

V 

4

Hence

3

A

Q  0.340

4 Q
π D1

 5 ft

ν  1.08 10



2

V  15.6

2

s

Thus ReD1 > 2 x 105. The volume flow rate is

ReD1 

ft

3

s

Q  152  gpm

ft
s

V D1
ν

Q  152  gpm

5

ReD1  2.403  10

Problem 8.197

[Difficulty: 2]

Problem 8.198

[Difficulty: 3]

Given:

Flow through a venturi meter

Find:

Maximum flow rate for incompressible flow; Pressure reading

Solution:
Basic equation

C⋅ At

mactual =

4

(

C⋅ At

)

⋅ 2 ⋅ ρ⋅ p 1 − p 2 =

⋅ 2 ⋅ ρ⋅ ∆p

Note that mactual is mass flow rate (the
software cannot render a dot!)

4

1−β

1−β

Assumptions: 1) Neglect density change 2) Use ideal gas equation for density
ρ=

Then

p

ρ = 60⋅

Rair⋅ T

lbf
2

2

×

in

1
− 3 slug
⎛ 12⋅ in ⎞ × lbm⋅ R × 1 ⋅ slug ⋅
ρ = 9.53 × 10 ⋅
⎜ 1⋅ ft
32.2⋅ lbm ( 68 + 460 ) ⋅ R
3
53.33 ⋅ ft⋅ lbf
⎝
⎠
ft

For incompressible flow V must be less than about 100 m/s or 330 ft/s at the throat. Hence
mactual = ρ⋅ V2 ⋅ A2

mactual = 9.53 × 10

− 3 slug

ft
β=

Dt

β =

D1

3

3

∆p = ρHg⋅ g ⋅ ∆h

∆h =

and in addition

⎛ mactual ⎞
4
∆p =
⋅⎜
⋅ 1−β
2⋅ ρ
⎝ C⋅ At ⎠

2

(

×

s

π
4

×

⎛ 1 ⋅ ft⎞
⎜4
⎝ ⎠

2

slug
mactual = 0.154 ⋅
s

β = 0.5

6

Also

1

ft

× 330 ⋅

)

∆h =

so

∆p
ρHg⋅ g

(1 − β4) ⋅⎛ mactual ⎞ 2

2 ⋅ ρ⋅ ρHg⋅ g

⎜ C⋅ A
t ⎠
⎝

For ReD1 > 2 x 105, 0.980 < C < 0.995. Assume C = 0.99, then check Re
∆h =

(1 − 0.54) ×
2

Hence

At 68oF,(Table A.7)

2
⎡
slug
4 ⎛ 4 ⎞⎤
1
⎥
×
×
×
×
× ⎢0.154
×⎜
13.6⋅ 1.94⋅ slug 32.2⋅ ft ⎣
s
−3
0.99 π ⎝ 1 ⋅ ft ⎠ ⎦
9.53 × 10
slug

ft

V=

3

Q
A

ft

=

4 ⋅ mactual
π⋅ ρ⋅ D1

ν = 1.08 × 10
ReD1 =

2

− 5 ft

⋅

3

2

2

s

V =

4
π

ft

×

3

9.53 × 10

−3

1

×

⎛ 1 ⋅ ft⎞
⎜2
⎝ ⎠

slug

2

× 0.154

slug
s

∆h = 6.98⋅ in

V = 82.3⋅

2

s

V⋅ D1
ν

Thus ReD1 > 2 x 105. The mass flow rate is

ft 1
ReD1 = 82.3⋅ × ⋅ ft ×
s
2
slug
mactual = 0.154 ⋅
s

s
−5

1.08 × 10

⋅ ft

2

and pressure

ReD1 = 3.81 × 10
∆h = 6.98⋅ in

6

Hg

ft
s

Problem 8.199

[Difficulty: 3]

Problem 8.200

Given:

Flow through venturi

Find:

Maximum flow rate before cavitation

[Difficulty: 3]

Solution:
Basic equation

C At

mactual 

4



C At



 2  ρ p 1  p 2 

 2  ρ ∆p
4

1β

1β

Note that mactual is mass flow rate (the
software cannot render a dot!)

For ReD1 > 2 x 105, 0.980 < C < 0.995. Assume C = 0.99, then check Re
Available data

D1  100  mm

Dt  50 mm

p 1g  200  kPa C  0.99

p atm  101  kPa

p v  1.23 kPa

Steam tables - saturation pressure at 10oC

ρ  1000

kg

ν  1.3 10

3

2
6 m



At 

β 

π Dt

2
2

At  1963 mm

4
Dt

A1 

Hence the largest Δp is

∆p  p 1  p t

Then

mrate 

4

pt  pv

2

A1  7854 mm

p t  1.23 kPa

∆p  300  kPa

C At

kg
mrate  49.2
s

 2  ρ ∆p
4

1β
mrate
ρ

Q
V1 
A1
Re1 

2

p 1  301  kPa

The smallest allowable throat pressure is the saturation pressure

Check the Re

π D1

β  0.5

D1

p 1  p atm  p 1g

Q 

(Table A.8)

s

m

Then

3

Q  0.0492

m
s

m
V1  6.26
s

V1  D1
ν

5

Re1  4.81  10
3

Thus ReD1 > 2 x 105. The volume flow rate is

Q  0.0492

m
s

(Asumption - verify later)

Q  49.2

L
s

Problem 8.201

[Difficulty: 1]

V 1, A 1

Given:

Flow through a diffuser

Find:

Derivation of Eq. 8.42

Solution:
Basic equations

Cp =

p2 − p1

p1

1

ρ

2

⋅ ρ⋅ V1

2

+

V1
2

2

p2

+ g ⋅ z1 =
+
ρ

V2
2

V 2, A 2

2

+ g ⋅ z2

Q = V⋅ A

Assumptions: 1) All the assumptions of the Bernoulli equation 2) Horizontal flow 3) No flow separation

From Bernoulli

p2 − p1
ρ

2

2

2

2

⎛ A1 ⎞
=
−
⋅⎜
=
−
2
2
2
2
⎝ A2 ⎠
V1

V2

V1

V1

2

using continuity

Hence

⎡ 2 V 2 A ⎞ 2⎤
1 ⎛ 1 ⎥
⎢ V1
Cp =
=
⋅
−
⋅⎜
⎢
⎥=1−
2
2
1
1
2
2
⎝ A2 ⎠ ⎦
⋅ ρ⋅ V1
⋅ V1 ⎣
2
2

Finally

Cp = 1 −

p2 − p1

1

1

⎛ A1 ⎞
⎜A
⎝ 2⎠

which is Eq. 8.42.
2

AR

This result is not realistic as a real diffuser is very likely to have flow separation

2

Problem 8.202

[Difficulty: 4] Part 1/2

Problem 8.202

[Difficulty: 4] Part 2/2

Problem 8.203

[Difficulty: 3]

Problem 8.204

[Difficulty: 5] Part 1/2

Problem 8.204

[Difficulty: 5] Part 2/2

Problem 8.205

[Difficulty: 5] Part 1/2

Problem 8.205

[Difficulty: 5] Part 2/2

Problem 9.1

Given:

Minivan traveling at various speeds

Find:

Plot of boundary layer length as function of speed

[Difficulty: 2]

Solution:
Governing equations:
The critical Reynolds number for transition to turbulence is
VL crit/ =500000

Re crit =
The critical length is then

L crit = 500000/V 
Tabulated or graphical data:
=

3.79E-07

=

lbf.s/ft

2

3

slug/ft

0.00234
o

(Table A.9, 68 F)

Computed results:
V (mph)

L crit (ft)
5.52
4.42
3.68
3.16
2.76
1.84
1.38
1.10
0.920
0.789
0.690
0.614

10
13
15
18
20
30
40
50
60
70
80
90

Length of Laminar Boundary Layer
on the Roof of a Minivan
6
5
4
L crit (ft)
3
2
1
0
0

10

20

30

40
50
V (mph)

60

70

80

90

100

Problem 9.2

Given:

Model of riverboat

Find:

Distance at which transition occurs

[Difficulty: 2]

Solution:
Basic equation

For water at 10oC
Hence
For the model

Rex 

ρ U x
μ



ν  1.30  10
xp 
xm 

ν Rex
U
xp
18

U x

2
6 m



5

and transition occurs at about

Rex  5  10

(Table A.8)

and we are given

ν

s
x p  0.186 m

x p  18.6 cm

x m  0.0103 m

x m  10.3 mm

U  3.5

m
s

Problem 9.3

[Difficulty: 3]

Given:

Boeing 757

Find:

Point at which BL transition occurs during takeoff and at cruise

Solution:
Basic equation

For air at 68oF
Hence
At 33,000 ft

ρ U x

Rex 

μ



ν  1.62  10
xp 

U x

 4 ft

ν Rex
U

T  401.9  R



5

and transition occurs at about

Rex  5  10

(Table A.9)

and we are given

ν
2

U  160 

s
x p  0.345  ft

x p  4.14 in

(Intepolating from Table A.3)

T  57.8 °F

mi
hr

 234.7 

ft
s

We need to estimate Ȟ or ȝ at this temperature. From Appendix A-3
b T

μ

S

1

Hence

μ 

6

b  1.458  10

kg



1

T

b T
1

S

m s K
 5 N s

μ  1.458  10



2

S  110.4  K

2
 7 lbf  s

μ  3.045  10



m

ft

2

T

For air at 10,000 m (Table A.3)
ρ
ρSL
ν 

Hence

xp 

 0.3376

ρSL  0.002377

slug
ft

 4 ft

μ

ν  3.79  10

ρ
ν Rex
U

x p  0.244  ft



3

ρ  0.3376 ρSL

ρ  8.025  10

 4 slug



ft

2

and we are given

s

x p  2.93 in

U  530 

mi
hr

3

Problem 9.4

[Difficulty: 2]

Given:

Experiment with 1 cm diameter sphere in SAE 10 oil

Find:

Reasonableness of two flow extremes

Solution:
Basic equation

For SAE 10
For
For

ReD 

ρ U D
μ




ReD  2.5  10

(Fig. A.3 at 20 oC)

and

s

ReD  1

we find
5

ReD  2.5  10

For water

ν  1.01  10



5

ν ReD
D
ν ReD
D

D  1  cm

U  0.011 
U  2750

m
s

m

U  1.10

cm

which is reasonable

s

which is much too high!

s

we need to increase the sphere diameter D by a factor of about 1000, or reduce the
viscosity ν by the same factor, or some combination of these. One possible solution is

2
6 m

ReD  2.5  10

U 
U 

5

ReD  2.5  10

5

and transition occurs at about

ν

2
4 m

ν  1.1  10

Note that for

For

U D

(Table A.8 at 20 oC)

s
we find

U 

D  10 cm

and

ν ReD
D

Hence one solution is to use a 10 cm diameter sphere in a water tank.

U  2.52

m
s

which is reasonable

Problem 9.5

[Difficulty: 2]

Given:

Flow around American and British golf balls, and soccer ball

Find:

Speed at which boundary layer becomes turbulent

Solution:
Basic equation

For air

ReD 

ρ U D
μ

ν  1.62  10

For the American golf ball D  1.68 in

For the British golf ball

For soccer ball



U D

5

ReD  2.5  10

and transition occurs at about

ν

 4 ft



2

(Table A.9)

s

Hence

D  41.1 mm

Hence

D  8.75 in

Hence

U 
U 
U 

ν ReD
D
ν ReD
D
ν ReD
D

U  289 

ft

U  300 

ft

s

U  55.5

s
ft
s

U  197  mph

U  88.2

m

U  205  mph

U  91.5

m

U  37.9 mph

U  16.9

m

s

s

s

Problem 9.6

[Difficulty: 2]

Given:

Sheet of plywood attached to the roof of a car

Find:

Speed at which boundary layer becomes turbulent; Speed at which 90% is turbulent

Solution:
Rex 

Basic equation

ρ U x
μ



ν  1.50  10

For air

U x

Rex  5  10

and transition occurs at about

ν

2
5 m



5

(Table A.10)

s

Now if we assume that we orient the plywood such that the longer dimension is parallel to the motion of the car, we can say:

Hence

U 

ν Rex
x

U  3.8

m
s

When 90% of the boundary layer is turbulent

x  0.1  2  m

Hence

U 

ν Rex
x

U  37.5

m
s

x  2 m

U  13.50 

km

U  135.0 

km

hr

hr

Problem 9.7

[Difficulty: 2]

Given:

Laminar boundary layer (air & water)

Find:

Plot of boundary layer length as function of speed (at various altitudes for air)

Solution:
Governing equations:
The critical Reynolds number for transition to turbulence is
Re crit = UL crit/ = 500000
The critical length is then
L crit = 500000/U 
For air at sea level and 10 km, we can use tabulated data for density  from Table A.3.
For the viscosity , use the Sutherland correlation (Eq. A.1)
 = bT 1/2/(1+S /T )
b = 1.46E-06 kg/m.s.K1/2
S = 110.4 K
Air (sea level, T = 288.2 K):
=

1.225

kg/m3

(Table A.3)
 = 1.79E-05 N.s/m2
(Sutherland)

Water (20 oC):

Air (10 km, T = 223.3 K):
=

0.414

kg/m3  =

(Table A.3)
 = 1.46E-05 N.s/m2
(Sutherland)

998

slug/ft3

 = 1.01E-03 N.s/m2
(Table A.8)

Computed results:
Water Air (Sea level) Air (10 km)
U (m/s)

L crit (m)

L crit (m)

L crit (m)

0.05
0.10
0.5
1.0
5.0
15
20
25
30
50
100
200

10.12
5.06
1.01
0.506
0.101
0.0337
0.0253
0.0202
0.0169
0.0101
0.00506
0.00253

146.09
73.05
14.61
7.30
1.46
0.487
0.365
0.292
0.243
0.146
0.0730
0.0365

352.53
176.26
35.25
17.63
3.53
1.18
0.881
0.705
0.588
0.353
0.176
0.0881

1000

0.00051

0.0073

0.0176

Length of Laminar Boundary Layer
for Water and Air
100.0

1.0
L crit (m)
0.0

0.0
1.E-02

Water
Air (Sea level)
Air (10 km)
1.E+00

1.E+02
U (m/s)

1.E+04

Problem 9.8

Given:

Aircraft or missile at various altitudes

Find:

Plot of boundary layer length as function of altitude

Solution:
Governing equations:
The critical Reynolds number for transition to turbulence is
Re crit =

UL crit/ = 500000

The critical length is then
L crit = 500000/U 
Let L 0 be the length at sea level (density 0 and viscosity 0). Then
L crit/L 0 = (/0)/(/0)
The viscosity of air increases with temperature so generally decreases with elevation;
the density also decreases with elevation, but much more rapidly.
Hence we expect that the length ratio increases with elevation
For the density , we use data from Table A.3.
For the viscosity , we use the Sutherland correlation (Eq. A.1)
 = bT 1/2/(1+S /T )
b =
S =

1.46E-06
110.4

kg/m.s.K1/2
K

[Difficulty: 2]

Computed results:
z (km)

T (K)

/0

/0

L crit/L 0

0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
6.0

288.2
284.9
281.7
278.4
275.2
271.9
268.7
265.4
262.2
258.9
255.7
249.2

1.0000
0.9529
0.9075
0.8638
0.8217
0.7812
0.7423
0.7048
0.6689
0.6343
0.6012
0.5389

1.000
0.991
0.982
0.973
0.965
0.955
0.947
0.937
0.928
0.919
0.910
0.891

1.000
1.04
1.08
1.13
1.17
1.22
1.28
1.33
1.39
1.45
1.51
1.65

7.0
8.0
9.0
10.0
11.0
12.0
13.0
14.0
15.0
16.0
17.0
18.0
19.0
20.0
22.0
24.0
26.0
28.0
30.0

242.7
236.2
229.7
223.3
216.8
216.7
216.7
216.7
216.7
216.7
216.7
216.7
216.7
216.7
218.6
220.6
222.5
224.5
226.5

0.4817
0.4292
0.3813
0.3376
0.2978
0.2546
0.2176
0.1860
0.1590
0.1359
0.1162
0.0993
0.0849
0.0726
0.0527
0.0383
0.0280
0.0205
0.0150

0.872
0.853
0.834
0.815
0.795
0.795
0.795
0.795
0.795
0.795
0.795
0.795
0.795
0.795
0.800
0.806
0.812
0.818
0.824

1.81
1.99
2.19
2.41
2.67
3.12
3.65
4.27
5.00
5.85
6.84
8.00
9.36
10.9
15.2
21.0
29.0
40.0
54.8

Length of Laminar Boundary Layer
versus Elevation
60
50
40
L/L 0
30
20
10
0
0

10

20
z (m)

30

Problem 9.9

Given:

[Difficulty: 2]

Sinusoidal velocity profile for laminar boundary layer:
u  A sin( B y )  C

Find:

(a) Three boundary conditions applicable to this profile
(b) Constants A, B, and C.

Solution:

For the boundary layer, the following conditions apply:
u  0 at

y  0 (no slip condition)

u  U at

y  δ (continuity with freestream)


y

u  0 at

y  δ (no shear stress at freestream)

Applying these boundary conditions:
( 1 ) u ( 0 )  A sin( 0 )  C  0

C0

( 2 ) u ( δ)  A sin( B δ)  U
( 3)


y

u  A B cos( B y )

Back into (2): A sin

Thus:  u ( δ)  A B cos( B δ)  0
y

Therefore: B δ 

 δ  U Therefore: A  U
 2δ 
π

So the expression for the velocity profile is:

u  U sin

π y
 
 2 δ

π
2

or

B

π
2 δ

Problem 9.10

Linear, sinusoidal, and parabolic velocity profiles
Plots of y/δ vs u/U for all three profiles
Here are the profiles:

Laminar Boundary Layer Velocity Profiles
Linear
Sinusoidal
Parabolic
0.8
Dimensionless Distance y/δ

Given:
Find:
Solution:

[Difficulty: 2]

0.6

0.4

0.2

0

0

0.2

0.4

0.6

Dimensionless Velocity u/U

0.8

Problem 9.11

Given:

Laminar boundary layer profile

Find:

If it satisfies BC’s; Evaluate */ and /

[Difficulty: 2]

Solution:
3

The boundary layer equation is

u 3 y 1 y

   for which u = U at y = 
U 2  2  

The BC’s are

u 0  0

At y = 0
At y = 







du
dy

0
y 

u 3
1 3
 0  0  0
U 2
2
 3 1 3 y2 
3 1 32 
du

0
 U 

 U 

3 
3 
dy
 2  2   y 
2 2 




For *:

u
u


 *   1  dy   1  dy
U
U
0
0

Then

1
1
* 1 u
u
u   y


  1  dy   1  d     1  d
  0 U
U    0  U 
0

with

Hence

u 3
1
   3
U 2
2
1
1
1
u
1 3
3 2 1 4 3
*


 3
 1  d   1     d          0.375
2
2 
4
8 0 8
 0  U 

0




u
u
u
u
1  dy   1  dy
U U
U U
0
0

For :

 

Then

1
1
 1 u u
u
u
u
u   y
  1  dy   1  d     1  d
  0U  U
U  U    0 U  U 
0

Hence

1
1
1 
9
1
3
1 
1  3
 1 u u
3
3
   1   d       3   1     3  d       2   3   4   6  d
2 
2
4
2
2
4 
2
2  2
 0U  U
0
0

39
 3 2 3 3 1 4 3 5 1 7
 0.139
           
 4
4
8
10
28  0 280
1

Problem 9.12

Given:

Laminar boundary layer profile

Find:

If it satisfies BC’s; Evaluate */ and /

[Difficulty: 2]

Solution:
3

4

The boundary layer equation is

u
y
 y  y
 2  2     for which u = U at y = 

U
   

The BC’s are

u 0  0





0
y 

u
3
4
 20  20  0  0
U
 1
 1
2
3 
du
y2
y3 
 U  2  6 3  4 4   0
 U  2  6 3  4 4 

  y 

 
dy
 
 

At y = 0
At y = 

du
dy






0



u
u

dy   1  dy
U
U
0

For *:

 *   1 

Then

1
1
* 1 u
u
u   y


  1  dy   1  d     1  d
  0 U
U    0  U 
0

with

u
 2  2 3   4
U
u
1
1 
3
*


 0 .3
  1  d   1  2  2 3   4 d     2   4   5  
U
2
5
10





0
0
0
1

1

1

Hence





For :

u
u
u
u
   1  dy   1  dy
U U
U U
0
0

Then

1
1
 1 u u
u
u   y
u
u
  1  dy   1  d     1  d
U  U    0 U  U 
  0U  U
0

Hence


u
u
  1  d   2   3   4 1  2   3   4 d   2  4 2  2 3  9 4  4 5  4 6  4 7   8 d
 0U  U 
0
0
1

1

1

  2 4 3 1 4 9 5 4 7 1 8 1 9
37
               
 0.117
 
3
2
5
7
2
9  0 315
1

Problem 9.13

Given:

Laminar boundary layer profile

Find:

If it satisfies BC’s; Evaluate */ and /

[Difficulty: 3]

Solution:
The boundary layer equation is

u
y
 2
U

u
y
 2 2 
U




u 0  0

The BC’s are

At y = 0
At y = 





du
dy

 



0 y



2 1

2



2

 y   for which u = U at y = 

0
y 

u
 2 0  0
U
1
du

U 2  2 
 0 so it fails the outer BC.
  y 
dy






This simplistic distribution is a piecewise linear profile: The first half of the layer has velocity gradient
second half has velocity gradient

U



 1.414

U



, and the

2  2 U  0.586 U . At y = , we make another transition to zero velocity gradient.




For *:

u
u


 *   1  dy   1  dy
U
U
0
0

Then

1
1
* 1 u
u
u   y


  1  dy   1  d     1  d
  0 U
U    0  U 
0

u
1
 2
0  
U
2
u
 2  2   2 1
U

with

2



 



1
 1
2

Hence

u
*

  1  d 
U

0
1

 1 

12

0



2 d 

 1  2  2   
1

12



 1
2  1 d  
2 2





12


1
2
2  1      1
2

0
2





1


2 2
1 2

2  1
2 3
2
 * 1
 
 0.396
 
 
2
8
4
8
4
4



 




For :

u
u
u
u
   1  dy   1  dy
U U
U U
0
0

Then

 1 u

  0 U

1

u
u

1  dy  
U
 U
0

1

u
u   y

1  d    
 U    0 U

u

 1   d
 U

Hence, after a LOT of work

u
u

  1  d 
 0U  U 
1

12







2 1  2 d 

0

12

 2 1 
 
 1
  2 2 
   
 
2 
 3
 3
0

 2  2   

 

1

 

2 1 1 2  2  



2  1 d

12









1

1
2 1
2
2 1
2
2  2   1   2  2   1  
 

  0.152
2
8 12 24
6 12
1 2

Problem 9.14

Given:
Find:
Solution:

[Difficulty: 2]

Power law velocity profiles
Plots of y/δ vs u/U for this profile and the parabolic profile of Problem 9.10
Here are the profiles:

Boundary Layer Velocity Profiles
Power
Parabolic

Dimensionless Distance y/δ

0.8

0.6

0.4

0.2

0

0

0.2

0.4

0.6

0.8

Dimensionless Velocity u/U

Note that the power law profile gives and infinite value of du/dy as y approaches zero:

du U d u U  U  y 


 
dy  d  y   7   



6
7

  as

y0

Problem 9.15

Given:
Find:
Solution:

[Difficulty: 2]

Linear, sinusoidal, and parabolic velocity profiles
The momentum thickness expressed as /δ for each profile
We will apply the definition of the momentum thickness to each profile.

θ 



Governing
Equation:

δ

u
U

  1 



u

 dy

(Definition of momentum thickness)

U

0

1 
 
δ
δ 

θ

If we divide both sides of the equation by δ, we get:

δ

u
U

  1 



u

 dy However, we can change

U

0

the variable of integration to
u

For the linear profile:

U

= y/δ, resulting in:

dη 

1
δ

 dy

Therefore:

1





1


2
  η ( 1  η) dη   η  η dη Evaluating this integral:

δ 0
0

u

For the sinusoidal profile:

U

 sin

π

2

 η

u
U

  1 



u

 dη

U

θ
δ

1



2



1
3



1

θ

6

δ

 0.1667

Into the momentum thickness:




1

π 
θ 
π 




sin  η   1  sin  η  dη  
δ 
2  
 2 



0

1

0

 η Into the momentum thickness:

θ

1

  π    π   2
sin  η   sin  η   dη
  2    2  

0

Evaluating this integral:

θ
δ

For the parabolic profile:

u
U

1



δ 

θ







2
π



2 π

π 4

 2 η  η



2

θ
δ

 0.1366

Into the momentum thickness:
1









2
2
2
3
4
  2  η  η  1  2  η  η  dη   2  η  5  η  4  η  η dη

δ 0
0
θ

Evaluating this integral:

θ
δ

1

5
3

1

1
5



2

θ

15

δ

 0.1333

Problem 9.16

Given:
Find:
Solution:

[Difficulty: 2]

Linear, sinusoidal, and parabolic velocity profiles
The displacement thickness expressed as δ*/δ for each profile
We will apply the definition of the displacement thickness to each profile.

δdisp  



Governing
Equation:

infinity

 1  u  dy 


U


0






δ

 1  u  dy


U


(Definition of displacement thickness)

0

If we divide both sides of the equation by δ, we get:

δdisp
δ

1 
 
δ 


δ

 1  u  dy


U


However, we can change

0

the variable of integration to η = y/δ, resulting in:
u

For the linear profile:

U
δdisp
δ

1


  ( 1  η ) dη


Evaluating this integral:
u
U

δ

1

δdisp
δ

0






δ

 dy

Therefore:

δdisp
δ

 sin

π

2

 η

1






1

 1  u  dη


U


0

 η Into the displacement thickness:

For the sinusoidal profile:
δdisp

dη 

1

1
2



1

δdisp

2

δ

 0.5000

Into the displacement thickness:



δ
 1  sin π  η  dη Evaluating this integral: disp  1  2

 2 
δ
π




δdisp
δ

 0.3634

0

For the parabolic profile:

u
U

δdisp
δ





1

 2 η  η

2

Into the displacement thickness:

1
2
1  2 η  η2  dη  
 1  2  η  η dη





Evaluating this integral:







0

0

δdisp
δ

11

1
3



1

δdisp

3

δ

 0.3333

Problem 9.17

Given:
Find:
Solution:

[Difficulty: 2]

Power law and parabolic velocity profiles
The displacement and momentum thicknesses expressed as δ*/δ and /δ for each
profile
We will apply the definition of the displacement and momentum thickness to each profile.

δdisp  



Governing
Equations:

infinity

 1  u  dy 


U


0


θ 



δ

u
U






δ

 1  u  dy


U


(Definition of displacement thickness)

0

  1 



u

 dy

(Definition of momentum thickness)

U

0

If we divide both sides of the equations by δ, we get:

δdisp
δ

1 
 
δ 


δ

1 
 
δ
δ 


 1  u  dy


U


θ

0

However, we can change the variable of integration to
δdisp
δ






1

 1  u  dη


U


0



δ 


1

u
U

  1 

dη 

1
δ

u

η

7

 dy

U

 dy

Therefore:

 dη

0

Into the displacement thickness:



δdisp 


δ
0

Evaluating this integral:

δdisp
δ

1

Into the momentum thickness:



u

U

1

U

U

  1 

u



1

For the power law profile:

u

0

= y/δ, resulting in:

θ

δ

1



1
1 



θ 
7
7 
  η   1  η  dη  

δ 0
0

1


7
 1  η  dη

1

2
 1
 7
7
 η  η  dη

7
8



1

δdisp

8

δ

θ

Evaluating this integral:

δ



7

θ

 0.0972

δ
For the parabolic profile:

u
U

 2 η  η

2

Into the displacement thickness:

δdisp
δ





1

0

1
2
1  2 η  η2  dη  
 1  2  η  η dη








0



 0.1250

8



7
9



7
72

Evaluating this integral:

δdisp
δ

Into the momentum thickness:

11

1

1
3





1

δdisp

3

δ





1





 0.3333





2
2
3
4
2
  2  η  η  1  2  η  η  dη   2  η  5  η  4  η  η dη

δ 0
0
θ

Evaluating this integral:

θ
δ

1

5
3

1

1
5



2

θ

15

δ

Power Law

δdisp
0.1250 δ

0.0972 δ

Parabolic

0.3333 δ

0.1333 δ

Profile

θ

 0.1333

Problem 9.18

Given:

Data on fluid and boundary layer geometry

Find:

Mass flow rate across ab; Drag

[Difficulty: 3]

CV

Solution:
The given data is

ρ  1.5

slug
ft

Governing
equations:

U  10

3

ft
s

d
L  10 ft δ  1  in b  3  ft

c

Rx

Mass
Momentum

Assumptions:

(1) Steady flow (2) No pressure force (3) No body force in x direction (4) Uniform flow at a

Applying these to the CV abcd
δ

Mass


( ρ U b  δ)   ρ u  b dy  mab  0

0

For the boundary layer

u
U



y
δ

dy

η

δ

 dη

1

Hence


1
mab  ρ U b  δ   ρ U η δ dy  ρ U b  δ   ρ U b  δ

2
0
1
mab   ρ U b  δ
2

slug
mab  1.875 
s
δ

Momentum


Rx  U ( ρ U δ)  mab u ab   u  ρ u  b dy

0

u ab  U

Note that

and

1

δ


2
2
 u  ρ u  b dy   ρ U  b  δ η dη


0

2

Rx  ρ U  b  δ 

0

1


2
2
 ρ U b  δ U   ρ U  b  δ η dy

2
1

0

2

Rx  ρ U  b  δ 

1
2

2

 ρ U  δ 

1
3

2

 ρ U  δ

1
2
Rx    ρ U  b  δ
6

Rx  6.25 lbf

We are able to compute the boundary layer drag even though we do not know the viscosity because it is the viscosity
that creates the boundary layer in the first place

Problem 9.19

[Difficulty: 3]

Given:

Data on fluid and boundary layer geometry

Find:

Mass flow rate across ab; Drag; Compare to Problem 9.18

Solution:
The given data is

Governing
equations:

ρ  1.5

slug
ft

U  10

3

ft

L  3  ft

s

δ  0.6 in

b  10 ft

Mass
Momentum

Assumptions:

(1) Steady flow (2) No pressure force (3) No body force in x direction (4) Uniform flow at a

Applying these to the CV abcd
δ

Mass


( ρ U b  δ)   ρ u  b dy  mab  0

0

For the boundary layer

u
U



y
δ

dy

η

δ

 dη

1

Hence


1
mab  ρ U b  δ   ρ U η δ dy  ρ U b  δ   ρ U b  δ

2
0
1
mab   ρ U b  δ
2

slug
mab  3.75
s
δ

Momentum


Rx  U ( ρ U δ)  mab u ab   u  ρ u  b dy

0

u ab  U

Note that

and

1

δ


2
2
 u  ρ u  b dy   ρ U  b  δ η dη


0

0

1


1
2
2
2
Rx  ρ U  b  δ   ρ U b  δ U   ρ U  b  δ η dy

2
0

2

Rx  ρ U  b  δ 

1
2

1
2
Rx    ρ U  b  δ
6

2

 ρ U  δ 

1
3

2

 ρ U  δ
Rx  12.50  lbf

We should expect the drag to be larger than for Problem 9.18 because the viscous friction is mostly concentrated near the leading
edge (which is only 3 ft wide in Problem 9.18 but 10 ft here). The reason viscous stress is highest at the front region is that the
boundary layer is very small (δ <<) so τ = μdu/dy ~ μU/δ >>

Problem 9.20

[Difficulty: 3]

δ = 1 in

Given:
Find:

Flow over a flat plate with parabolic laminar boundary layer profile

Solution:

We will apply the continuity and x-momentum equations to this system.

(a) Mass flow rate across ab
(b) x component (and direction) of force needed to hold the plate in place

Governing
Equations:

 

d
V
V



CS  dA  0
t CV
 

udV   uV  dA  Fsx  Fbx

CS
t CV

Assumptions:

(Continuity)
(x- Momentum)

(1) Steady flow
(2) No net pressure forces
(3) No body forces in the x-direction
(4) Uniform flow at da

CV

d


ρ U b  δ   ρ u  b dy  mab  0


From the assumptions, the continuity equation becomes:

c

Rx

δ

The integral can be written as:

0

δ
δ



 ρ u  b dy  ρ b   u dy  ρ U b  δ 



0

0

1

2η  η2 dη

where η 

0

y
δ

This integral is equal to: ρ U b  δ  1 



1

2

   ρ U b  δ
3 3

2
1
mab  ρ U b  δ   ρ U b  δ   ρ U b  δ Substituting known values:
3
3

Solving continuity for the mass flux through ab we get:
1
slug
ft
ft
mab 
 1.5
 10  3.0 ft  1  in 
3
3
s
12 in
ft

slug
mab  1.250 
s
δ

From the assumptions, the momentum equation becomes:


Rx  u da ( ρ U b  δ)  u ab mab   u  ρ u  b dy where u da  u ab  U

0

1
2
2
Thus: Rx  ρ U  b  δ   ρ U  b  δ 
3

δ


2
2
 u  ρ u  b dy    ρ U  b  δ 

3
0


δ
δ
 2


2
 u  ρ u  b dy  ρ b   u dy  ρ U  b  δ 



0

0

ρ U  b  δ 
2

4

3

1

1

 2 η  η 
2

2

δ


 u  ρ u  b dy The integral can be written as:

0


dη  ρ U  b  δ 


1

2

4η2  4η3  η4 dη

This integral is equal to:

0

0

1

8
2
2
2
 8 2
  15  ρ U b δ Therefore the force on the plate is: Rx    3   ρ U  b  δ   15  ρ U  b δ
5
 15


Substituting known values:

Rx  

2
15

 1.5

slug
ft

3

  10



This force must be applied to the control volume by the plate.

ft 



s

2

 3.0 ft  1  in 

ft
12 in

2



lbf  s

slug ft

Rx  5.00 lbf
(to the left)

Problem 9.21

[Difficulty: 2]

Given:

Data on wind tunnel and boundary layers

Find:

Displacement thickness at exit; Percent change in uniform velocity through test section

Solution
:The solution involves using mass conservation in the inviscid core, allowing for the fact that as the boundary
layer grows it reduces the size of the core. One approach would be to integrate the 1/7 law velocity profile to
compute the mass flow in the boundary layer; an easier approach is to simply use the displacement thickness!
Basic
equations


δdisp  



(4.12)

δ

 1  u  dy


U


0

Assumptions: 1) Steady flow 2) Incompressible 3) No friction outside boundary layer 4) Flow along streamline 5) Horizontal
1

For this flow

The design data is
The volume flow rate is
We also have

Hence

u

ρ U A  const

and

ft
Udesign  160 
s

w  1  ft

U



y
δ
 

7

h  1  ft

Adesign  w h
ft

3

Q  Udesign Adesign

Q  160 

δin  0.4 in

δexit  1  in


δdisp  



δ

0




 1  u  dy  



U



δ



1 

1


7
 y   dy 
  
δ 

Adesign  1  ft

s




δ 


0

1

1


7
 1  η  dη where

0

η

y
δ

Hence at the inlet and exit
δin
δdispin 
8

δdispin  0.05 in

δdispexit 

δexit
8

δdispexit  0.125  in

δ
δdisp 
8

2

Hence the areas are





Ain  w  2  δdispin  h  2  δdispin







Ain  0.9834 ft



Aexit  w  2  δdispexit  h  2  δdispexit

2

Aexit  0.9588 ft

2

Applying mass conservation between "design" conditions and the inlet

ρ Udesign Adesign  ρ Uin Ain  0
or

Also

Uin  Udesign

Adesign
Ain
Adesign

Uexit  Udesign
Aexit

ft
Uin  162.7 
s
ft
Uexit  166.9 
s

The percent change in uniform velocity is then

Uexit  Uin
Uin

 2.57 % The exit displacement thickness is

δdispexit  0.125  in

Problem 9.22

[Difficulty: 2]

Given:

Data on boundary layer in a cylindrical duct

Find:

Velocity U2 in the inviscid core at location 2; Pressure drop

Solution:
The solution involves using mass conservation in the inviscid core, allowing for the fact that as the boundary layer grows it
reduces the size of the core. One approach would be to integrate the 1/7 law velocity profile to compute the mass flow in the
boundary layer; an easier approach is to simply use the displacement thickness!
The given or available data (from Appendix A) is
ρ  1.23

kg

m
U1  12.5
s

3

m

D  100  mm

δ1  5.25 mm

δ2  24 mm

Governing
equations: Mass
p

Bernoulli

ρ

2



V

2

 g  z  constant

(4.24)

The displacement thicknesses can be computed from boundary layer thicknesses using Eq. 9.1
1





u
δdisp    1   dy  δ 

 
U
0


1


δ
7
 1  η  dη 

δ

8

0

Hence at locations 1 and 2

δ1
δdisp1 
8

Applying mass conservation at locations 1 and 2

δdisp1  0.656  mm

δ2
δdisp2 
8

δdisp2  3  mm

ρ U1 A1  ρ U2 A2  0

A1
U2  U1 
A2

or

The two areas are given by the duct cross section area minus the displacement boundary layer





π
2
A1   D  2  δdisp1
4
Hence

A1  7.65  10

3

2

m

A1
U2  U1 
A2

For the pressure drop we can apply Bernoulli to locations 1 and 2 to find





π
2
A2   D  2  δdisp2
4

A2  6.94  10
m
U2  13.8
s

ρ
2
2
p 1  p 2  ∆p    U2  U1  ∆p  20.6 Pa


2

3 2

m

Problem 9.23

[Difficulty: 2]

Given:

Data on wind tunnel and boundary layers

Find:

Uniform velocity at exit; Change in static pressure through the test section

Solution:
Basic
equations


δdisp  



(4.12)

δ

 1  u  dy


U


p
ρ

2



V

2

 g  z  const

0

Assumptions: 1) Steady flow 2) Incompressible 3) No friction outside boundary layer 4) Flow along streamline 5) Horizontal
1

For this flow
The given data is
We also have

Hence


δdisp  



δ

0

u

an
d

U

m
U1  25
s
δ1  20 mm

h  25 cm

A  h




 1  u  dy  



U



δ



y
δ
 

ρ U A  const

7

2

A  625  cm

2

δ2  30 mm



1 

1


7
 y  dy 
  
δ 




δ 


1

1


7
 1  η  dη

0

0

η

wher
e

y
δ

δ
δdisp 
8

Hence at the inlet and exit
δ1
δdisp1 
8
Hence the areas are

δdisp1  2.5 mm


2
2
A2   h  2  δdisp2

δ2
δdisp2 
8

δdisp2  3.75 mm

A1  h  2  δdisp1

A1  600  cm

2

A2  588  cm

2

Applying mass conservation between Points 1 and 2

ρ U1 A1  ρ U2 A2  0
p1

The pressure change is found from Bernoulli

ρ
Hence

∆p 

  U  U2
2  1
ρ

2

2



A1
U2  U1 
A2

or



U1
2

2



p2

∆p  15.8 Pa

ρ



U2
2

m
U2  25.52
s

2

with

ρ  1.21

kg
3

m

The pressure drops slightly through the test section

Problem 9.24

[Difficulty: 2]

Given:

Data on wind tunnel and boundary layers

Find:

Uniform velocity at Point 2; Change in static pressure through the test section

Solution:
Basic
equations

(4.12)


δdisp  



δ

 1  u  dy


U


p
ρ

2



V

2

 g  z  const

0

Assumptions: 1) Steady flow 2) Incompressible 3) No friction outside boundary layer 4) Flow along streamline 5) Horizontal
1

u

ρ U A  const

and

The given data is

m
U1  20
s

W  40 cm

We also have

δ1  1  cm

δ2  1.3 cm

For this flow

Hence


δdisp  



δ

0

U




 1  u  dy  



U



δ



1 

1


7
 y   dy 
  
δ 

1

y
δ
 

7

2

2

A  W

1


7
 1  η  dη

A  0.1600 m

η

where

0

0

Hence at the inlet and exit
δ1
δdisp1 
δdisp1  0.125  cm
8
Hence the areas are




δ 




δ2
δdisp2 
8

y
δ

δ
δdisp 
8

δdisp2  0.1625 cm


2
2
A2   W  2  δdisp2

2

A1  W  2  δdisp1

A1  0.1580 m

2

A2  0.1574 m

Applying mass conservation between Points 1 and 2

ρ U1 A1  ρ U2 A2  0
The pressure change is found from Bernoulli

p1
ρ

Hence

∆p 

ρ
2

  U1  U2

2

2





or

U1
2

2



p2
ρ



U2

2

A1
U2  U1 
A2

m
U2  20.1
s

with

ρ  1.21

2

kg
3

m
4

∆p  2.66  10

 psi

∆p  1.835  Pa

Problem 9.25

Given:

Data on wind tunnel and boundary layers

Find:

Pressure change between points 1 and 2

[Difficulty: 2]

Solution:
Basic
equations

(4.12)

p
ρ

2



V

2

 g  z  const

Assumptions: 1) Steady flow 2) Incompressible 3) No friction outside boundary layer 4) Flow along streamline 5) Horizontal
For this flow

ρ U A  const

The given data is

ft
U0  100 
s

We also have

δdisp2  0.035  in

Hence at the Point 2

A2  h  2  δdisp2

U1  U0



h  3  in

2


p1
ρ

Hence

∆p 

  U  U2
2  1
ρ

2

2

A1  9  in

2

 

The pressure change is found from Bernoulli

2

A2  8.58 in

Applying mass conservation between Points 1
and 2
ρ U1  A1  ρ U2  A2  0



A1  h



o
r

U1

2

2

2



The pressure drops by a small amount as the air accelerates



p2
ρ



U2
2

A1
U2  U1 
A2

ft
U2  105 
s

wit
h

ρ  0.00234 

2

slug
ft

3

∆p  8.05  10

 psi

∆p  1.16

lbf
ft

2

3

Problem 9.26

[Difficulty: 3]

Given:
Find:

Developing flow of air in flat horizontal duct. Assume 1/7-power law velocity profile in boundary layer.

Solution:

We will apply the continuity and x-momentum equations to this problem.

(a) Displacement thickness is 1/8 times boundary layer thickness
(b) Static gage pressure at section 1.
(c) Average wall shear stress between entrance and section 2.

Governing
Equations:


δdisp  



infinity

δ

 1  u  dy  




U



0
0
 
dV   V  dA  0

 1  u  dy


U


(Definition of displacement thickness)


CS
t CV
 


ud
V

u

V
CS  dA  Fsx  Fbx
t CV

Assumptions:

(Continuity)
(x- Momentum)

(1) Steady, incompressible flow
(2) No body forces in the x-direction
(3) No viscous forces outside boundary layer
(4) Boundary layers only grow on horizontal walls
L = 20 ft

H = 1 ft

V1 = 40 ft/s

δ 2 = 4 in
δdisp

If we divide both sides of the displacement thickness definition by δ, we get:

δ

1 
 
δ 


δ

 1  u  dy


U


0

However, we can change the variable of integration to η = y/δ, resulting in:

dη 

1
δ

 dy

Therefore:

δdisp
δ






1

 1  u  dη


U


0

1

1

For the power law profile:

u
U

η

7

Into the displacement thickness:



δdisp 


δ
0

Evaluating this integral:

δdisp
δ

1


7
 1  η  dη

1

7
8



1

δdisp

8

δ



1
8

V1  A1  V2  A2 or

After applying the assumptions from above, continuity reduces to:
Solving for the velocity at 2:

H
V2  V1 
 V1 
H  2  δdisp2

H
H

p0
ρ

1
2
p 1g  p 1  p 0    ρ V1
2

p 1g  

1
2
p 2g  p 2  p 0    ρ V2
2

p 2g  

1
2
1
2



Substituting known values:
4

2

p

V



ρ

 0.00234 

1

 1

1
4  ft
1   
4 12 


ft
V2  43.6
s

along a streamline. Therefore:

2

slug
ft

 0.00234 



δ2

ft
V2  40  1  ft 
s
From Bernoulli equation, since z = constant:



V1  w H  V2  w H  2  δdisp2

3

slug
ft

3

  40



  43.6



2

2

ft 
lbf  s

 


s
slug ft  12 in 

ft 

2

2

2

ft 
lbf  s

 


s
slug ft  12 in 

ft 

p 1g  0.01300  psi
2

p 2g  0.01545  psi

Now if we apply the momentum equation to the control volume (considering the assumptions shown):

 
Fsx   uV  dA
CS

p1  p2 w 2

H


H
 τ w L  V1  ρ V1   w  
2  


δ2

0

H
u  ρ u  w dy  V2  ρ V2    δ2  w
2





 

1


2



7
2
2
2 7
The integral is equal to: ρ w  u dy  ρ V2  δ2  w  η dη  ρ V2  δ2  w


9
0
0
δ2

p1  p2 w 2

H

τ

τ 

2 H

 τ w L  ρ V1 

2

Therefore the momentum equation becomes:

2
2 H
 w  ρ V2     δ2  w Simplifying and solving for the shear stress we get:
2
9 


H
2
2 H
2 H
  p 1  p 2   ρ V1   V2     δ2 Substituting in known values we get:
L 
2
2
2
9 


1



1
20 ft





 [ ( 0.01328 )  ( 0.01578 ) ] 




 lbf  s  ft 
lbf 1  ft
slug 
ft
ft
1  ft 
1
2 4

  40  
  43.6        ft 
 0.00234 


2 2
3
s 2
s  2
9 12   slug ft  12 in 

in
ft 
2

2

2

5

τ  5.46  10

 psi

2





Problem 9.27

[Difficulty: 3]

Given:
Find:

Air flow in laboratory wind tunnel test section.

Solution:

We will apply the continuity and Bernoulli equations to this problem.

(a) Freestream speed at exit
(b) Pressure at exit


δdisp  



Governing
Equations:

infinity






 1  u  dy 


U


0

δ

 1  u  dy


U


(Definition of displacement thickness)

0

 

dV   V  dA  0

CS
t CV
2
p V

 gz  const
 2

Assumptions:

(Continuity)
(Bernoulli)

(1) Steady, incompressible flow
(2) No body forces in the x-direction
(3) No viscous forces outside boundary layer
(4) Streamline exists between stations 1 and 2

(5) Uniform flow outside boundary layer
(6) Boundary layer is the same on all walls
(7) Neglect corner effects
(8) Constant elevation between 1 and 2

If we divide both sides of the displacement thickness
definition by δ, we get:
δdisp
δ

1 
 
δ 


δ

U1 = 80 ft/s

1 

 dy
U

u

0

L = 2 ft

However, we can change the variable of integration
to η = y/δ, resulting in:
dη 
δdisp

Therefore:

δ






1

0

1



δdisp 


δ
0

1


7
 1  η  dη

1
δdisp1 
 0.8 in
8

W = 1 ft

1
δ

 dy
1

 1  u  dη
u
7


For the power law profile:
η
U

U

Evaluating this integral:

δdisp
δ

δdisp1  0.100  in

1

7
8



1

Into the displacement thickness:

So the displacement thicknesses are:

8

1
δdisp2 
 1  in
8

δdisp2  0.125  in



 W  2 δdisp1 
U2  U1  

 W  2 δdisp2 

Solving for the speed at 2:

2  U2 W  2 δdisp22

U1  A1  U2  A2 or U1  W  2  δdisp1

After applying the assumptions from above, continuity reduces to:
2

ft
U2  80 
s

Substituting known values:

2
 1  2  0.100 
 1  2  0.125 



ft
U2  91.0
s
From Bernoulli equation, since z = constant:

p1
ρ

∆p12 

  U  U2
2  1
ρ

2

2



∆p12 

1
2



U1
2

 0.00239 

2


slug
ft

3

p2

U2



ρ

2

along a streamline. Therefore:

2



2

 80  91



2 ft

2

2

s

2



lbf  s



slug ft

 ft 
 12 in 



2

∆p12  0.01561  psi

From ambient to station 1 we see a loss at the tunnel entrance:
2
2
 p0 U0   p1 U1 
 ρ  2    ρ  2   h lT Since U0  0 and p 0  p atm  0 we can solve for the pressure at 1:

 


p 1  ρ h lT 

1
2

 ρ U1

2

where

ρhlT  

0.3
12

 ft  1.94

slug
ft

3

 32.2

ft
2

2



s
2

2

lbf
1
slug 
ft
lbf  s
Therefore: p 1  0.01085 
  0.00239 
  80  

2
2
3
slug ft
 s
in
ft
p 2  p 1  ∆p12

it follows that:

lbf  s

slug ft

 ft 
 12 in 





2

ρhlT  0.01085  psi

2

 ft   0.0640 psi So the pressure at 2 is:
 12 in 



p 2  0.0640 psi  0.01561  psi  0.0796 psi Since the pressure drop can be expressed as

h2 

p2
ρ g

lbf
So in terms of water height: h 2  0.0796

2
in

2

3

p 2  ρ g  h 2

2

s
slug ft 12 in
 12 in   ft



 ft 
2
ft
1.94 slug 32.2 ft


lbf  s
p 2  0.0796 psi
h 2  2.20 in

Problem 9.28

Given:

Data on fluid and boundary layer geometry

Find:

Gage pressure at location 2; average wall stress

[Difficulty: 3]

Solution:
The solution involves using mass conservation in the inviscid core, allowing for the fact that as the boundary layer grows it
reduces the size of the core. One approach would be to integrate the 1/7 law velocity profile to compute the mass flow in the
boundary layer; an easier approach is to simply use the displacement thickness!
The average wall stress can be estimated using the momentum equation for a CV
The given and available (from Appendix A) data is
ρ  0.00234 

slug
ft

3

ft
U1  50
s

L  20 ft

D  15 in

δ2  4  in

Governing equations:
Mass

Momentum
Bernoulli

p
ρ

2



V

 g  z  constant

2

(4.24)

Assumptions: (1) Steady flow (2) No pressure force (3) No body force in x direction
The displacement thickness at location 2 can be computed from boundary layer thickness using Eq. 9.1
1


δdisp2  



δ2

0

Hence



u
 1   dy  δ  


2

U

0

δ2
δdisp2 
8

Applying mass conservation at locations 1 and 2

1

δ2

7
 1  η  dη 

8

δdisp2  0.500  in

ρ U1 A1  ρ U2 A2  0

π 2
A1   D
4

A1
U2  U1 
A2

or

A1  1.227  ft

2

The area at location 2 is given by the duct cross section area minus the displacement boundary layer





π
2
A2   D  2  δdisp2
4

A2  1.069  ft

2

Hence

A1
U2  U1 
A2

ft
U2  57.4
s

For the pressure change we can apply Bernoulli to locations 1 and 2 to find

Hence

ρ
2
2
p 1  p 2  ∆p    U2  U1 

2 

∆p  6.46  10

p 2 ( gage )  p 1 ( gage )  ∆p

p 2  6.46  10

3

 psi

3

p 2  ∆p

 psi

For the average wall shear stress we use the momentum equation, simplified for this problem
D

2

2
2 π
2
∆p A1  τ π D L  ρ U1  A1  ρ U2   D  2  δ2  ρ 
4

D





2

2

2  π r u dr
 δ2

1

where

y
u ( r)  U2   
δ2
 

7

D
2

y

dr  dy

0



2


2
2
ρ 
2  π r u dr  2  π ρ U2 


D  δ

δ
2
D

The integral is

r

and

2

2
7

 D  y    y  dy
2
 δ 

  2
2

D

2

ρ 

D
2

Hence

τ 

 δ2

 D δ2 
2
2
2  π r u dr  7  π ρ U2  δ2   

8 
9

 D δ2 
2
2 π
2
2
∆p A1  ρ U1  A1  ρ U2   D  2  δ2  7  π ρ U2  δ2   

4
8 
9

τ  6.767  10



π D L
5

 psi



Problem 9.29

[Difficulty: 5]

Given:

Air flow in laboratory wind tunnel test section.

Find:

(a) Displacement thickness at station 2
(b) Pressure drop between 1 and 2
(c) Total drag force caused by friction on each wall
We will apply the continuity, x-momentum, and Bernoulli equations to this problem.

Solution:
Governing
Equations:


δdisp  



infinity

 1  u  dy 


U


0






δ

 1  u  dy


U


(Definition of displacement thickness)

0

 

dV   V  dA  0

CS
t CV
2
p V

 gz  const
 2

(Continuity)
(Bernoulli)

 

udV   uV  dA  Fsx  Fbx

CS
t CV

Assumptions:

(1) Steady, incompressible flow
(2) No body forces in the x-direction
(3) No viscous forces outside boundary layer
(4) Streamline exists between stations 1 and 2

If we divide both sides of the displacement thickness definition by δ, we get:

(x- Momentum)

(5) Uniform flow outside boundary layer
(6) Boundary layer is the same on all walls
(7) Neglect corner effects
(8) Constant elevation between 1 and 2
δdisp
δ

1 
 
δ 


δ

 1  u  dy


U


0

However, we can change the variable of integration to η = y/δ, resulting in: dη 

1
δ

 dy Therefore:

δdisp
δ






1

0

u

 1   dη
U


1

1

u

If we assume the power law profile (turbulent BL):

η

U

Evaluating this integral:

δdisp
δ

1

7
8



1

7

Into the displacement thickness:

1
δdisp2 
 20.3 mm
8

So the displacement thickness is:

8

2

H

U2  U1  
H  2  δdisp2 



1


7
 1  η  dη

δdisp2  2.54 mm



2

U1  A1  U2  A2 or U1  H  U2  H  2  δdisp2

After applying the assumptions from above, continuity reduces to:

Solving for the speed at 2:



δdisp 


δ
0

2

m
U2  50.2 
s

Substituting known values:

305


 305  2  2.54 



2

m
U2  51.9
s

From Bernoulli equation, since z = constant:

p1



ρ
∆p12 

  U  U2
2  1
ρ

2

2



∆p12 

1
2

 1.23

U1

2



2
kg
3

p2
ρ





U2

2

along a streamline. Therefore:

2

2

 50.2  51.9



2
2 m

m

2

2



s

N s

∆p12  106.7 Pa

kg m

To determine the drag on the walls, we choose the control volume shown above and apply the x-momentum equation.
From the assumptions, the equation reduces to:



CS

 
uV  dA  Fsx

Applying this to the control volume:

δ
 2
p 1  H δ2  FD  p 2  H δ2  U1  ρ U1  H δ2  Uavg mtop   u  ρ u  H dy






The mass flow rate through the top of the CV

δ
 2
mtop  m1  m2  ρ U1  H δ2   ρ u  H dy


0

can be determined using the continuity equation across the control volume:

0

1


1

δ
 2

7
7
 ρ u  H dy  ρ U2  H δ2   η dη   ρ U2  H δ2 Therefore:


8
0
0

This integral can be evaluated using the power law profile:
7
mtop  ρ H δ2   U1   U2
8



The average speed can be approximated as the mean of the speeds at 1 and 2:

Uavg 

U1  U2

Finally the integral in the momentum equation may also be evaluated using the power law profile:
1


2



7
2
2
7
 u  ρ u  H dy  ρ U2  H δ2   η dη   ρ U2  H δ2


9
0
0
δ2





p 1  H δ2  FD  p 2  H δ2  U1  ρ U1  H δ2 

U1  U2
2

Thus, the momentum equation may be rewritten as:

 ρ H δ2   U1 



7
8

 U2 



7
9

2

 ρ U2  H δ2Solving for the drag force:

2

FD 



 p 1  p 2  ρ U1 2 



 U1  U2  

7
7

   U1   U2   U2 2  H δ2 Substituting in all known values yields:
8
 2 
 9



N
kg
FD  106.7 
 1.23

2
3

m
m


2
2
2
2

 50.2 m   ( 50.2  51.9)   50.2  7  51.9  m  7   51.9 m    N s   0.305  m  0.020
s
8
s   kg m

2

 s2 9 




FD  2.04 N
The viscous drag force acts on the CV in the direction shown. The viscous
drag force on the wall of the test section is equal and opposite:

Problem 9.30

[Difficulty: 2]

Given:
Find:

Blasius exact solution for laminar boundary layer flow

Solution:

The Blasius solution is given in Table 9.1; it is plotted below.

u

Plot and compare to parabolic velocity profile:

U

 2 

y


δ



y
δ
 

2

Parabolic
Blasius

Dimensionless Height y/δ

0.8

0.6

0.4

0.2

0

0

0.2

0.4

0.6

Dimensionless Velocity u/U

0.8

Problem 9.31

[Difficulty: 3]

Given:
Find:

Blasius exact solution for laminar boundary layer flow

Solution:

We will apply the shear stress definition to both velocity profiles.

(a) Evaluate shear stress distribution
(b) Plot τ/τw versus y/δ
u
π y
(c) Compare with results from sinusoidal velocity profile:
 sin   
U
 2 δ

Governing
Equation:

τ  μ


y

For Blasius: u  U f'( η) and η  y 

Therefore:

τ
2

ρ U



μ
ρ U

From the above equation:

U

 f''( η) 
τ
τw

For the sinusoidal profile: τ 

ν x



(Shear stress in Newtonian fluid)

u



U
The shear stress is: τ  μ   ( U f'( η ) )  U μ  ( f''( η ) )    η   U μ  f''( η ) 
ν x
ν
x
y
 y 
U



f''( η)
f''( 0 )

f''( η)

τ is proportional to f''(η)

Rex


f''( η)
0.33206

Since y  δ at η  5 it follows that

μ U d
 u   μ U  π  cos π  y 

 
 2 δ
δ   y   U 
δ 2


d 

δ
 


τw 

μ U π

δ 2

y
δ



η
5

Thus:

τ
τw

 cos

π y
 
 2 δ

Both profiles are plotted here:

Dimensionless Height y/δ

0.8

0.6

0.4

0.2
Sinusoidal
Blasius
0

0

0.2

0.4

0.6

Dimensionless Shear Stress τ/τw

0.8

Problem 9.32

Given:
Find:

Blasius exact solution for laminar boundary layer flow
(a) Evaluate shear stress distribution
(b) Plot τ/τw versus y/δ
(c) Compare with results from sinusoidal velocity profile: u  2  y 
U
δ

Solution:

y
 
δ

2

We will apply the shear stress definition to both velocity profiles.

Governing
Equation:

τ  μ


y

τ
2

ρ U



μ
ρ U

From the above equation:

 f''( η) 
τ
τw

For the parabolic profile: τ 



(Shear stress in Newtonian fluid)

u

U

For Blasius: u  U f'( η) and η  y 

Therefore:

[Difficulty: 3]

ν x

U
ν x



f''( η)
f''( 0 )

 
U
The shear stress is: τ  μ  ( U f'( η) )  U μ ( f''( η) )    η   U μ f''( η) 
ν
x
y
y 
f''( η)

τ is proportional to f''(η)

Rex


f''( η)
0.33206

Since y  δ at η  5 it follows that

μ U d
 u   μ U   2  2  y 

 


δ   y   U 
δ 
δ
d 

 δ


τw 

μ U
δ

2

y
δ

Thus:



η
5
τ
τw

1

y
δ

Both profiles are plotted here:

Dimensionless Height y/δ

0.8

0.6

0.4

0.2
Parabolic
Blasius
0

0

0.2

0.4

0.6

Dimensionless Shear Stress τ/τw

0.8

Problem 9.33

Given:
Find:
Solution:

Blasius exact solution for laminar boundary layer flow
5

Plot v/U versus y/δ for Rex  10
We will apply the stream function definition to the Blasius solution.

For Blasius: u  U f'( η) and η  y 

U
ν x

The stream function is:

 1 ν U
From the stream function: v   ψ   
 f ( η) 
x
2 x
Thus

[Difficulty: 3]

 1 ν U  f ( η) 
v   
2 x

ψ

U ν x  f ( η)

 d f     η  But  η   1  y  U   1  η
  
2 x
2 x ν x
x
 dη  x 

ν U x  

 d f     1  η   1  ν U  ( η f'( η)  f ( η) ) and


 dη   2 x  2 x

ν U x  

v
U



1
2



ν
U x

 ( η f'( η)  f ( η) )
v
U

Since y  δ at η  5 it follows that

y
δ



η



η f'( η)  f ( η)
2 Rex

Plotting v/U as a function of y/δ:

5

Dimensionless Height y/δ

0.8

0.6

0.4

0.2

0
0

1 10

3

3

2 10

Dimensionless flow Velocity v/U

3

3 10

Problem 9.34

[Difficulty: 3]

Given:
Find:

Blasius exact solution for laminar boundary layer flow

Solution:

We will apply the stream function definition to the Blasius solution.

(a) Prove that the y component of velocity in the solution is given by Eq. 9.10.
(b) Algebraic expression for the x component of a fluid particle in the BL
(c) Plot ax vs η to determine the maximum x component of acceleration at a given x

For Blasius: u  U f'( η) and η  y 

U

 1 ν U
From the stream function: v   ψ   
 f ( η) 
x
2 x
Thus

 1 ν U  f ( η) 
v   
2 x

ψ

The stream function is:

ν x

U ν x  f ( η)

 d f     η  But  η   1  y  U   1  η
  
2 x
2 x ν x
x
 dη  x 

ν U x  

 d f     1  η   1  ν U  ( η f'( η)  f ( η) )


 dη   2 x  2 x

ν U x  

which is Eq. 9.10.

v

The acceleration in the x-direction is given by:


x

u  U

ax  u 


x

u  v

η 
1 η U f''( η)
d
d 
 
f'( η)   η   U f''( η)   

x
2
dη
 2 x 
 dx 


y

u


y

where u  U f'( η)

u  U

1
2



ν U
x

 ( η f'( η)  f ( η) )

Evaluating the partial derivatives:

U
d
d 
f'( η)   η   U f''( η) 
ν x
dη
 dy 

2

Therefore:

2

1 η U f''   1 ν U
1 U
U 
1 U

ax  U f'( η)    
 ( η f'  f )   U f''
 
     η f' f''    ( η f' f''  f  f'')

2 x
ν x 
2 x
 2 x  2 x


Simplifying yields:
2

ax  

U

2x

 f ( η)  f''( η)

If we plot f(η)f''(η) as a function of η:

f(η)f''(η)

The maximum value of this function is
0.23 at η of approximately 3.
0.2
2

axmax  0.115 

0.1

0

0

1

2

3
η

4

5

U

x

Problem 9.35

[Difficulty: 4]

Given:

Blasius solution for laminar boundary layer

Find:

Point at which u = 0.95U; Slope of streamline; expression for skin friction coefficient and total drag; Momentum
thickness

Solution:
Basic equation: Use results of Blasius solution (Table 9.1 on the web), and
f' 
f' 

u
U
u
U

at

η  3.5

 0.9555

at

η  4.0

f'  0.95

From Table A.10 at 20oC

ν  1.50  10

The streamline slope is given by

dx
dy
dx
We have



v



1

Rex 

η  3.5 
2
5 m



U  5

and

s

ν x

y  η
dy

U

 0.9130

Hence by linear interpolation,
when

Hence

ν x

η  y

x  20 cm

s

u  U f'

where

u

2

m

 ( 0.95  0.9130)η  3.94

y  0.305  cm

U

ν U



( 4  3.5)
( 0.9555  0.9130)

x

 ( η f'  f ) 

1
U f'



1
2

U x



ν
U x



v

and

( η f'  f )
f'



1
2  Rex



1
2



ν U
x

 ( η f'  f )

( η f'  f )
f'

4

Rex  6.67  10

ν

From the Blasius solution (Table 9.1 on the web)

Hence by linear
interpolation

f  1.8377

at

η  3.5

f  2.3057

at

η  4.0

f  1.8377 
dy
dx

The shear stress is



1
2  Rex

( 2.3057  1.8377)
( 4.0  3.5)


( η f'  f )
f'

 ( 3.94  3.5)

f  2.25

 0.00326


 

u  v   μ u at y = 0 (v = 0 at the wall for all x, so the derivative is zero there)
x 
y
 y

τw  μ 

2

2

U d f
τw  μ U

ν x
2
dη

and at η = 0

d f
dη

2

 0.3321

(from Table 9.1)

τw  0.3321 U

The friction drag is

2

ρ U μ

μ
ρ U
2
τw  0.3321 ρ U 
 0.3321
ρ U x
Rex

x


FD   τw dA 



L


 τw b dx


where b is the plate width

0

L


L
2
 1

ρ U
2 ν 

dx
FD   0.3321
 b dx  0.3321 ρ U 
1
U 
Rex



2
0
 x

1
2 ν
2
FD  0.3321 ρ U 
 b 2 L
U

For the momentum integral

τw
2

ρ U

θL 
We have



dθ

or

dx

2

FD  ρ U  b  L

dθ 

τw
2

0.6642
ReL

 dx

ρ U
L


1 FD
0.6642 L
  τw dx 


2
2 b
ReL
ρ U 0
ρ U
1

L  1 m
θL 

0

ReL 

0.6642 L
ReL

U L
ν

ReL  3.33  10
θL  0.115  cm

5

Problem 9.36

Given:

Data on flow over flat plate

Find:

Plot of laminar thickness at various speeds

Solution:
Given or available data:

Governing
Equations:

δ
x



5.48

2
5 m

ν  1.5  10

(9.21)



and

Rex

The critical Reynolds number is

[Difficulty: 2]

(from Table A.10 at 20oC)

s
U x
Rex 
ν

δ  5.48

so

ν x
U

Recrit  500000

Hence, for velocity U the critical length xcrit is

x crit  500000

ν
U

The calculations and plot were generated in Excel and are shown below:

U (m/s)
x c rit (m)

1
7.5

2
3.8

3
2.5

4
1.9

5
1.5

10
0.75

x (m)

δ (mm)

δ (mm)

δ (mm)

δ (mm)

δ (mm)

δ (mm)

0.000
0.025
0.050
0.075
0.100
0.2
0.5
1.5
1.9
2.5
3.8
5.0

0.00
3.36
4.75
5.81
6.71
9.49
15.01
25.99
29.26
33.56
41.37
47.46

0.00
2.37
3.36
4.11
4.75
6.71
10.61
18.38
20.69
23.73
29.26

0.00
1.94
2.74
3.36
3.87
5.48
8.66
15.01
16.89
19.37

0.00
1.68
2.37
2.91
3.36
4.75
7.50
13.00
14.63

0.00
1.50
2.12
2.60
3.00
4.24
6.71
11.62

0.00
1.06
1.50
1.84

6.0
7.5

51.99
58.12

Laminar Boundary Layer Profiles

δ (mm)

70
60

U = 1 m/s

50

U = 2 m/s
U = 3 m/s

40

U = 4 m/s

30

U = 5 m/s

20

U = 10 m/s

10
0
0

2

4
x (m)

6

8

Problem 9.37

Given:

Blasius nonlinear equation

Find:

Blasius solution using Excel

[Difficulty: 5]

Solution:
The equation to be solved is

2

d3 f
d 3

 f

d2 f
d 2

0

(9.11)

The boundary conditions are
f  0 and

df
 0 at   0
d

df
 1 at   
d
Recall that these somewhat abstract variables are related to physically meaningful variables:
f

(9.12)

u
 f
U

and

y

U

x



y



Using Euler’s numerical method

f n1  f n   f n

(1)

f n1  f n   f n

(2)

f n1  f n   f n
h

In these equations, the subscripts refer to the nth discrete value of the variables, and  = 10/N is the step
size for  (N is the total number of steps).
But from Eq. 9.11
f   

1
f f 
2

so the last of the three equations is

 1
f n1  f n     f n f n 
2



(3)

Equations 1 through 3 form a complete set for computing f , f , f  . All we need is the starting condition
for each. From Eqs. 9.12
f 0  0 and f 0  0

We do NOT have a starting condition for f  ! Instead we must choose (using Solver) f 0 so that the last
condition of Eqs. 9.12 is met:
f N  1

Computations (only the first few lines of 1000 are shown):
 =

0.01

Make a guess for the first f ''; use Solver to vary it until f 'N = 1
Count
0
1
2
3
4
5
6
7
10
8
9
10
8
11
12
6
13

14
4
15
16
2
17
18
0
19
0.0 20
21
22


0.00
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
0.10
0.11
0.12
0.13
0.14
0.15
0.16
0.17
0.18
0.19
0.2
0.20
0.21
0.22

f
f'
f''
0.0000
0.0000
0.3303
0.0000
0.0033
0.3303
0.0000
0.0066
0.3303
0.0001
0.0099
0.3303
0.0002
0.0132
0.3303
0.0003
0.0165
0.3303
0.0005
0.0198
0.3303
Blasius
0.0007 Velocity
0.0231 Profile
0.3303
0.0009
0.0264
0.3303
0.0012
0.0297
0.3303
0.0015
0.0330
0.3303
0.0018
0.0363
0.3303
0.0022
0.0396
0.3303
0.0026
0.0429
0.3303
0.0030
0.0462
0.3303
0.0035
0.0495
0.3303
0.0040
0.0528
0.3303
0.0045
0.0562
0.3303
0.0051
0.0595
0.3303
0.0056
0.0628
0.3303
0.6
0.0063 0.4 0.0661
0.3302
0.0069
0.0694
0.3302
u/U = f '
0.0076
0.0727
0.3302

0.8

1.0

Problem 9.38

Given:

Parabolic solution for laminar boundary layer

Find:

Plot of δ, δ*, and τ w versus x/L

[Difficulty: 2]

Solution:
Given or available data:

Basic
equations:

u
U

 2  

ν  1.08  10

y
  

δ δ
y

2

 5 ft



δ
x

2

s

(From Table A.8 at 68 oF) L  9  in
5.48



cf 

Rex

τw
1
2




2

 ρ U

U  5

ft
s

0.730
Rex

1
1
1 3 

 u   y
 u
2
2
Hence:  *   1  dy    1  d      1  2   d        
U
U   
3 0 3

0
0
0



1



The computed results are from Excel, shown below:

Laminar Boundary Layer Profiles
δ (in)
0.000
0.019
0.026
0.032
0.037
0.042
0.046
0.050
0.053
0.056
0.059
0.062
0.065
0.067
0.070
0.072
0.075
0.077
0.079
0.082
0.084

δ * (in) τ w (psi)
0.000
0.006 0.1344
0.009 0.0950
0.011 0.0776
0.012 0.0672
0.014 0.0601
0.015 0.0548
0.017 0.0508
0.018 0.0475
0.019 0.0448
0.020 0.0425
0.021 0.0405
0.022 0.0388
0.022 0.0373
0.023 0.0359
0.024 0.0347
0.025 0.0336
0.026 0.0326
0.026 0.0317
0.027 0.0308
0.028 0.0300

0.09

0.16

0.08

0.14

0.07

0.12

δ

0.06

0.10
0.05

τw (psi)

0.00
0.45
0.90
1.35
1.80
2.25
2.70
3.15
3.60
4.05
4.50
4.95
5.40
5.85
6.30
6.75
7.20
7.65
8.10
8.55
9.00

Re x
0.00.E+00
1.74.E+04
3.47.E+04
5.21.E+04
6.94.E+04
8.68.E+04
1.04.E+05
1.22.E+05
1.39.E+05
1.56.E+05
1.74.E+05
1.91.E+05
2.08.E+05
2.26.E+05
2.43.E+05
2.60.E+05
2.78.E+05
2.95.E+05
3.13.E+05
3.30.E+05
3.47.E+05

δ and δ * (in)

x (in)

0.08
0.04

τw

0.03

0.06

0.04

δ*

0.02

0.02

0.01
0.00

0.00
0

3

6
x (in)

9

Problem 9.39

Given:

Parabolic solution for laminar boundary layer

Find:

Derivation of FD; Evaluate FD and θ L

[Difficulty: 2]

Solution:
Basic
equations:

u
U

 2  

y



δ

y
δ
 



L  9  in

Assumptions:

2

δ
x

b  3  ft



5.48
Rex

U  5

ft

ρ  1.94

s

slug
ft


p  0, and U = const
x
2) δ is a function of x only
3) Incompressible
4) Steady flow

3

1) Flat plate so

The momentum integral equation then simplifies to

τw
ρ

d



dx

U θ
2


θ 



where

δ

u
U

  1 



u

 dy

U

0

2 dθ

For U = const

τw  ρ U 
dx

The drag force is then


FD   τw dA 



For the given profile

θ 

δ 


1

0

θ

From Table A.7 at 68 oF

2
15

θL
L
L


2 dθ
2 

ρ U   b dx  ρ U  b   1 dθ
 τw b dx 


dx

0

0
1



0





1

2

FD  ρ U  b  θL







u 
u
2
2
2
3
4
2
  1   dη   2  η  η  1  2  η  η dη   2  η  5  η  4  η  η dη 


U 
U
15
0
0

δ

ν  1.08  10
δL  L

 5 ft

5.48
ReL

2
θL 
δ
15 L
2

FD  ρ U  b  θL



2

s

ReL 

U L
ν

δL  0.0837 in
θL  0.01116  in
FD  0.1353 lbf

ReL  3.47  10

5

Problem 9.40

Given:

[Difficulty: 3]

Thin flat plate installed in a water tunnel. Laminar BL's with parabolic profiles form on both sides of the plate.
L  0.3 m

Find:
Solution:

b  1 m

U  1.6

m
s

ν  1  10

2
6 m



u
U

s

 2  

y
 
δ δ
y

2

Total viscous drag force acting on the plate.
We will determine the drag force from the shear stress at the wall
U L

First we will check the Reynolds number of the flow: ReL 

ν

5

 4.8  10

Therefore the flow is laminar throughout.
L

The viscous drag for the two sides of the plate is:


FD  2   τw b dx


The wall shear stress τw is:

0

2
   at y = 0, which for the parabolic profile yields:
2  0  2  μ U
u
τw  μ U  


δ
2 
δ
 y 
δ



τw  μ 

The BL thickness δ is:

L

1

δ  5.48


2
 x Therefore: FD  2  b  

U




ν

L


  1
2  μ U
4
U 
2
dx 
 b  μ U
 x
dx
1
5.48
ν 0
ν 2
x
5.48
U

0

Evaluating this integral:

FD 

8  b  μ U
5.48



U L
ν

FD  1.617 N

Problem 9.41

[Difficulty: 2]

Given:

Data on fluid and plate geometry

Find:

Drag at both orientations using boundary layer equation

Solution:
The given data is

ρ  1.5

slug
ft

μ  0.0004

3

lbf  s
ft

ReL 

First determine the nature of the boundary layer

2

ρ U L
μ

U  10

ft

L  10 ft

s

ReL  3.75  10

b  3  ft

5

The maximum Reynolds number is less than the critical value of 5 x 105
Hence:
Governing equations:

cf 

τw
1
2

cf 

(9.22)
2

 ρ U

0.730

(9.23)

Rex

L

The drag (one side) is


FD   τw b dx

0

Using Eqs. 9.22 and 9.23



FD   ρ U  b 

2



1

L

2

0.73
ρ U x

dx

μ

0
3

Repeating for

FD  0.73 b  μ L ρ U

FD  5.36 lbf

L  3  ft

b  10 ft
3

FD  0.73 b  μ L ρ U

FD  9.79 lbf

(Compare to 6.25 lbf for Problem 9.18)

(Compare to 12.5 lbf for Problem 9.19)

Problem 9.42

Given:

Triangular plate

Find:

Drag

[Difficulty: 3]

Solution:
Basic
equations:

cf 

τw
1
2

cf 

2

 ρ U

L  2  ft

3

0.730
Rex

L  1.732  ft

2

W  2  ft

U  15

ft
s

Assumptions:

(1) Parabolic boundary layer profile
(2) Boundary layer thickness is based on distance from leading edge (the "point" of the triangle).

From Table A.9 at 70 oF

ν  1.63  10

 4 ft



2

ρ  0.00233 

s

ft
ReL 

First determine the nature of the boundary layer

The drag (one side) is

We also have

slug

U L
ν

3

ReL  2  10

5

so definitely laminar

L


FD   τw dA




FD   τw w( x ) dx


w( x )  W

0

x
L

1
1
2
2 0.730
τw  cf   ρ U   ρ U 
2
2
Rex
L

Hence


1
2 W 
FD   ρ U  
2
L 




L


1


0.730
0.730  x
W
2
2
 ρ U   ν  x dx
dx 

2
L
U x
0
3

ν

0

L

The integral is


3
1


2 2
2
 x dx   L

3
0

so

3

3

FD  0.243  ρ W ν L U

FD  1.11  10

Note: For two-sided solution

2  FD  2.21  10

 lbf

3

 lbf

Problem 9.43

[Difficulty: 3]

Plate is reversed from
this!

Given:

Triangular plate

Find:

Drag

Solution:
Basic equations:

cf 

τw
1
2

2

 ρ U

L  2  ft

From Table A.9 at 70 oF

cf 

3

 4 ft



2

ρ  0.00233 

s

W  2  ft

ReL 

U  15

U L
ν

ReL  2  10

5

so definitely laminar


FD   τw w( x ) dx


w( x )  W  1 



0

We also have

1
1
2
2 0.730
τw  cf   ρ U   ρ U 
2
2
Rex

Hence




1
2
FD   ρ U  W 
2




L

0.730   1 



U x

x



L

s

3

L


FD   τw dA



ft

slug
ft

First determine the nature of the boundary layer

The drag (one side) is

Rex

L  1.732  ft

2

ν  1.63  10

0.730



3

0.730
2
dx 
 ρ U  W ν 

2


L


 
 x

1
2

x



L


2
x 
dx

L 
1

0

ν

0

The integral is








L


 
 x

1
2

3

1
2
2
2 L
4
x 
2
d
2
L

x




  L

3 L
3
L 
1

0
3

FD  0.487  ρ W ν L U

FD  2.22  10
Note: For two-sided solution

The drag is much higher (twice as much) compared to Problem 9.42. This is because τ w is largest
near the leading edge and falls off rapidly; in this problem the widest area is also at the front

3

 lbf

3

2  FD  4.43  10

 lbf

Problem 9.44

Given:

Parabolic plate

Find:

Drag

[Difficulty: 3]

Solution:
Basic equations:

cf 

τw
1
2

0.730

cf 

2

 ρ U

Rex

 W
2
 
L 

W  1  ft

2

L  0.25 ft

1  ft

U  15

ft
s

Note: "y" is the equation of the upper and lower surfaces, so y = W/2 at x = L
From Table A.9 at 70 oF

ν  1.63  10

 4 ft



2

ρ  0.00233 

s

ft
ReL 

First determine the nature of the boundary layer

The drag (one side) is

slug
3

U L

4

ReL  2.3  10

ν

so just laminar

L


FD   τw dA




FD   τw w( x ) dx


w( x )  W

0

We also have

1
1
2
2 0.730
τw  cf   ρ U   ρ U 
2
2
Rex

Hence




1
2
FD   ρ U  W 
2




x
L

L

0.730 
U x

x
L

3

dx 

0.730
2

L

ν 
 ρ U  W
  1 dx
L 
2

0

ν

0
3

FD  0.365  ρ W ν L U

FD  3.15  10
Note: For two-sided solution

4

 lbf

4

2  FD  6.31  10

 lbf

Problem 9.45

[Difficulty: 4]

Note: Plate is now reversed!

Given:

Parabolic plate

Find:

Drag

Solution:
Basic
equations:

cf 

τw
1
2

0.730

cf 

2

 ρ U

Rex

 W
2
 
L 

W  1  ft

2

L  0.25 ft

1  ft

U  15

ft
s

Note: "y" is the equation of the upper and lower surfaces, so y = W/2 at x = 0
From Table A.10 at 70oF

ν  1.63  10

 4 ft



2

ρ  0.00234 

s

ft
U L

ReL 

First determine the nature of the boundary layer

The drag (one side) is

slug

ν

3
4

ReL  2.3  10

so just laminar

L


FD   τw dA




FD   τw w( x ) dx


w( x )  W 1 

0

We also have

1
1
2
2 0.730
τw  cf   ρ U   ρ U 
2
2
Rex

Hence




1
2
FD   ρ U  W 
2




x
L

L

x

0.730  1 

L

U x

3

dx 

0.730
2


 ρ U  W ν 



L

2

1
x



1
L

dx

0

ν

0

The tricky integral is (this might
be easier to do numerically!)





0.730
2

x

1

3

FD 

2

 L  x  x so
 dx  x 
  L ln

x
L
L
2
 L  x  x 
1


2
 ρ U  W ν 



i






L

1
x



1
L

dx  0.434  m

0

L

1
x



1
L

dx

0

Note: For two-sided solution
The drag is much higher compared to Problem 9.44. This is because τ w is largest near the leading
edge and falls off rapidly; in this problem the widest area is also at the front

FD  4.98  10

4

 lbf

4

2  FD  9.95  10

 lbf

Problem 9.46

Given:

Pattern of flat plates

Find:

Drag on separate and composite plates

Solution:
Basic
equations:

cf 

1

0.730

cf 

2

Rex

 ρ U
2
Parabolic boundary layer profile

Assumption:
For separate plates

τw

[Difficulty: 3]

L  3  in

W  3  in

U  3

We also have

From Table A.7 at 70 oF ν  1.06  10

s

ReL 

First determine the nature of the boundary layer

The drag (one side) is

ft

U L

ReL  7.08  10

ν

4

 5 ft



2

ρ  1.93

slug

s

so definitely laminar

L


FD   τw dA




FD   τw W dx

0

1
1
2
2 0.730
τw  cf   ρ U   ρ U 
2
2
Rex
L

Hence


1
2

FD   ρ U  W

2




L


  1

0.730
0.730
2
2
 ρ U  W ν  x
dx 
dx

2
U x
0
3

ν

0

L

The integral is


1
  1

2
2
dx  2  L
 x


so

3

FD  0.730  ρ W ν L U

FD  0.0030 lbf

FTotal  4  FD

FTotal  0.0119 lbf

0

This is the drag on one plate. The total drag is then

For both sides:
For the composite plate

L  4  3  in

L  1.00 ft

ReL 

U L
ν

 2.83  10

5

2  FTotal  0.0238 lbf

so still laminar

3

FComposite  0.730  ρ W ν L U

FComposite  0.0060 lbf
For both sides:

2  FComposite  0.0119 lbf

The drag is much lower on the composite compared to the separate plates. This is because τ w is largest near the
leading edges and falls off rapidly; in this problem the separate plates experience leading edges four times!

ft

3

Problem 9.47

[Difficulty: 3]

u



y

Given:

Laminar boundary layer flow with linear velocity profile:

Find:

Expressions for δ/x and Cf using the momentum integral equation

Solution:

We will apply the momentum integral equation

Governing
Equations:

U

τw
ρ



Cf 



1

η

(Momentum integral equation)

τw
2

Assumptions:



2
d
d 
U  θ  δdisp U  U 
dx
 dx 

δ

(Skin friction coefficient)
2

 ρ U

(1) Zero pressure gradient, so U is constant and dp/dx = 0
(2) δ is a function of x only, and δ = 0 at x = 0
(3) Incompressible flow

  1

u 
u
2 d  

Applying the assumptions to the momentum integral equation yields:
τw  ρ U   θ   ρ U 
δ 
  1   dη
U 
U  
dx  
 dx 


  0
1
 

2  
2

2 1
Substituting for the velocity profile: τw  ρ U  d δ  η  η dη  ρ U    d δ 
dx  

6  dx 
  0

2 d



   at y = 0
u
 y 

τw  μ 

Now the wall shear stress is also:

2

δ

2



6 μ
ρ U

Solving for the boundary layer thickness:

Substituting the velocity profile:

μ U
2 1 d 
ρ U    δ  
6  dx 
δ

Setting both expressions for the wall shear stress equal:

Integrating this expression:



τw 

μ U
δ
6 μ

Separating variables: δ dδ 

ρ U

 dx

2

 x  C However, we know that C = 0 since δ = 0 when x = 0. Therefore:

δ

From the definition for skin friction coefficient:

12 μ
ρ U

Cf 

x

δ

or

x

τw
1
2


2

 ρ U



μ U
δ



δ

2

12 μ

δ

ρ U x

x

2
2

ρ U



2 μ
ρ U δ

 2

μ



x

ρ U x δ



2







6 μ
ρ U

x

3.46
Rex

Rex

Rex 3.46

Upon simplification:

Cf 

0.577
Rex

Problem 9.48

Given:

[Difficulty: 2]

Horizontal surface immersed in a stream of standard air. Laminar BL with sinusoidal profile forms.
L  1.8 m b  0.9 m

Find:
Solution:

U  3.2

m
s

ν  1.46  10

2
5 m



u
U

s

π y
 
 2 δ

 sin

Plot δ, δ*, and τw versus x/L for the plate
We will determine the drag force from the shear stress at the wall

Governing τw  ρ U2  d θ   μ   u  at y = 0
 dx 
y 
Equations:





δdisp
δ

1

 1  u  dη


U


(Wall shear stress)

(Displacement thickness)

0



δ 

θ

1

u
U

  1 

u

 dη



(Momentum thickness)

U

0


1

π 
θ 
π 




sin  η   1  sin  η  dη  
δ 
2  
 2 




For the sinusoidal velocity profile:

0

Evaluating this integral:

θ
δ



4π

π μ U



2 π

2 4 π

 dx  δ dδ or

δ dδ 

2  ρ U
Solving this expression for δ/x:

Also,

δdisp
δ






1

  4  π  
d
d
θ  θ  δ 
  δ
2  π  x 
dx
dδ  x 

π 0 π
π μ U
2 4  π  
τw  μ U cos   

 ρ U 
  δ
2 δ
2  π  x 
 2 δ  2 δ

To determine the wall shear stress:

Separating variables yields:

  π    π   2
sin  η   sin  η   dη
  2    2  

0

 0.1366 Therefore it follows that

2 π

1

δ
x



π

2

4π

 1  sin π  η  dη




 2 



π

2



μ

4  π ρ U

2

 dx Integrating yields:

2



π

2

μ

x
4  π ρ U

μ

δ

ρ U x

x

Evaluating this integral:

δdisp
δ

1

2
π

 0.363

0

The Reynolds number is related to x through:

δ

5

Rex  2.19  10  x

Plots of δ, δdisp and τ w as functions of x are shown on the next page.

where x is measured in meters.

δdisp
δ



4.80
Rex

 0.363

BL Thickness
Disp. Thickness
Wall Shear
0.04
10
0.03

0.02
5
0.01

0

0

0.5

1
x (m)

1.5

0

Wall Shear Stress (Pa)

Boundary Layer and Displacement Thicknesses (mm)

15

Problem 9.49

Given:

Water flow over flat plate

Find:

Drag on plate for linear boundary layer

[Difficulty: 3]

Solution:
Basic
equations:


FD  2   τw dA



du

τw  μ
dy
W  1 m
2

6 m



ρ  1000

s

ReL 

First determine the nature of the boundary
layer
y
The velocity profile is
u  U  U η
δ
du
U
Hence
τw  μ
 μ
dy
δ
We also have

2 dδ 
τw  ρ U   


The integral is





(1)

U  0.8



u

 dη

U

ν

m
s

3

m
U L

ReL  2.15  10

5

so laminar

but we need δ(x)
1

1

u

η  η2 dx  16

so

U
1
2 dδ
τw  μ   ρ U 
δ
6
dx

Separating variables

δ dδ 

δ

6 μ

12 μ
ρ U


FD  2 



2

 dx

or

x

or

ρ U

1
2 dδ
2 dδ
τw  ρ U 
  ρ U 
dx
6
dx

δ



2
δ



x



L

U


τw dA  2 W 
μ  dx  2 W 


δ


0

L

0

6 μ
ρ U
12

Rex




  1

2
dx  2  L
 x


so

0

FD 

2
3

3

 ρ W ν L U

(2)

but δ(0) = 0 so c = 0

x  c

3.46
Rex
L


  1

μWU U 
ρ U
2
2
 x
dx
x
dx 

μ  U
ν 0
12 μ
3
1

L

The integral is

  1 

kg

1

Comparing Eqs 1 and 2

Then

u
U

u
2 dδ 
  1   dη  ρ U    η ( 1  η) dη
dx
U 
U
dx 0

0

0

Hence

τw  ρ U  
dx 


at y = 0, and also

1

0

L  0.35 m
From Table A.8 at 10 oC ν  1.30  10

2 dδ 


FD 

2 μ  W  U
3

FD  0.557N



U L
ν

Problem 9.50

Given:

[Difficulty: 2]

Horizontal surface immersed in a stream of standard air. Laminar BL with linear profile forms.
L  0.8 m b  1.9 m

Find:
Solution:

Plot δ,

δ*,

U  5.3

m
s

ν  1.46  10

2
5 m



u
U

s



y
δ

and τw versus x/L for the plate

We will determine the drag force from the shear stress at the wall

Governing τw  ρ U2  d θ   μ   u  at y = 0
 dx 
y 
Equations:





δdisp
δ

1

 1  u  dη


U


(Wall shear stress)

(Displacement thickness)

0



δ 

θ

1

u
U

  1 



u

 dη

(Momentum thickness)

U

0

For the linear velocity profile:

1





1


2
  η  ( 1  η ) dη   η  η dη

δ 0
0

θ

δ

  1  
Therefore it follows that d θ  d θ    δ      δ  To determine the wall shear stress:
dx
dδ  x  6  x 
Separating variables yields:

Also,

δdisp
δ

6 μ
ρ U

2

 dx  δ dδ

Evaluating this integral:

0

The Reynolds number is related to x through:



2

1


  ( 1  η ) dη


δ

Integrating yields:

δdisp
δ

5



Rex  3.63  10  x

Plots of δ, δdisp and τ w as functions of x are shown on the next page.

6 μ
ρ U

θ

Evaluating this integral:

x

τw 

μ U
δ

1



6
2



ρ U
6

 0.1667

 
δ
x 



Solving this expression for δ/x:

δ
x

1

δdisp

2

δ

where x is measured in meters.



3.46
Rex



1
2

BL Thickness
Disp. Thickness
Wall Shear
0.04
4

0.03

2
0.02

0

0

0.2

0.4
x (m)

0.6

0.01
0.8

Wall Shear Stress (Pa)

Boundary Layer and Displacement Thicknesses (mm)

6

Problem 9.51

Given:

Horizontal surface immersed in a stream of standard air. Laminar BL with linear profile forms.
L  0.8 m b  1.9 m

Find:
Solution:

[Difficulty: 2]

U  5.3

m
s

ν  1.46  10

2
5 m



u
U

s



y
δ

Algebraic expressions for wall shear stress and drag; evaluate at given conditions
We will determine the drag force from the shear stress at the wall

Governing τw  ρ U2  d θ   μ   u  at y = 0
 dx 
y 
Equations:


δ 

θ

1

u
U

  1 



u

 dη

(Wall shear stress)

(Momentum thickness)

U

0
1





1


2
  η  ( 1  η ) dη   η  η dη

δ 0
0

θ

For the linear velocity profile:

δ

  1  
Therefore it follows that d θ  d θ    δ      δ  To determine the wall shear stress:
dx
dδ  x  6  x 
Separating variables yields:

6 μ
ρ U

2

 dx  δ dδ

2

Substituting this back into the expression for wall shear stress:

The drag force is given by:

For the given conditions:


FD   τw dA 


ReL 

U L
ν

δ

Integrating yields:

τw 



μ U
δ

6 μ
ρ U

x

x

μ U
δ

1



6
2



ρ U
6

12



1
12



μ U

 Rex
x

 0.1667

 
δ
x 



Solving this expression for δ/x:

μ U



τw 

δ
x



12
Rex

μ U
τw  0.289 
 Rex
x

Rex

θ
L
L

 L

2
2 dθ

ρ U   b dx  b   ρ U dθ
 τw b dx 


dx

0

0

 2.90  10

θ

Evaluating this integral:

2

FD  ρ U  b  θL

0

5

12
δL  L
 5.14 mm
ReL
δL
θL 
 0.857  mm
6
2

FD  ρ U  b  θL  0.0563 N

FD  0.0563 N

Problem 9.52

Given:

Data on flow in a channel

Find:

Static pressures; plot of stagnation pressure

[Difficulty: 3]

Solution:
The given data is

h  1.2 in

Appendix A

ρ  0.00239 

δ2  0.4 in

w  6  in

slug
ft

Governing
equations:

ft
U2  75
s

3

Mass
Before entering the duct, and in the the inviscid core, the Bernoulli
equation holds
2
p
V

 g  z  constant
ρ
2

(4.24)

Assumptions: (1) Steady flow
(2) No body force in x direction
For a linear velocity profile, from Table 9.2 the displacement thickness at location 2 is
δ2
δdisp2 
2

δdisp2  0.2 in

From the definition of the displacement thickness, to compute the flow rate, the uniform flow at location 2 is
assumed to take place in the entire duct, minus the displacement thicknesses at top and bottom



Then



2

A2  w h  2  δdisp2

A2  4.80 in

Q  A2  U2

Q  2.50

ft

3

s

Mass conservation (Eq. 4.12) leads to U2
U1  A1  U2  A2
A2
U1 
U
A1 2

where

A1  w h

2

A1  7.2 in
ft
U1  50
s

The Bernoull equation applied between atmosphere and location 1 is
p atm
ρ

p1





ρ

U1

2

2

or, working in gage pressures
1
2
p 1    ρ U1
2

p 1  0.0207 psi
(Static pressure)

Similarly, between atmosphere and location 2 (gage pressures)
1
2
p 2    ρ U2
2

p 2  0.0467 psi
(Static pressure)

The static pressure falls continuously in the entrance region as the fluid in the central core accelerates into a decreasing core.
The stagnation pressure at location 2 (measured, e.g., with a Pitot tube as in Eq. 6.12), is indicated by an application of the
Bernoulli equation at a point
pt
ρ



p
ρ



u

2

2

where p t is the total or stagnation pressure, p = p 2 is the static pressure, and u is the local velocity, given by
u
U2



y

y  δ2

δ2

h
δ2  y 
2

u  U2

(Flow and pressure distibutions are symmetric about centerline)
Hence
y (in)
0.00
0.04
0.08
0.12
0.16
0.20
0.24
0.28
0.32
0.36
0.40
0.44
0.48
0.52
0.56
0.60

1
2
p t  p 2   ρ u
2

The plot of stagnation pressure is shown in the Excel sheet below

Stagnation Pressure Distibution in a Duct

u (ft/s) p t (psi)
0.00
7.50
15.00
22.50
30.00
37.50
45.00
52.50
60.00
67.50
75.00
75.00
75.00
75.00
75.00
75.00

0.000
0.000
0.002
0.004
0.007
0.012
0.017
0.023
0.030
0.038
0.047
0.047
0.047
0.047
0.047
0.047

0.6
0.5
0.4
y (in) 0.3
0.2
0.1
0.0
0.00

0.01

0.02
0.03
p t (psi gage)

The stagnation pressure indicates total mechanical energy - the curve indicates significant loss close to the walls
and no loss of energy in the central core.

0.04

0.05

Problem 9.53

Given:

[Difficulty: 3]

Turbulent boundary layer flow of water, 1/7-power profile

The given or available data (Table A.9) is
U  1

m
s

Find:

L  1 m

ν  1.00  10

2
6 m



ρ  999 

s

kg
3

m

(a) Expression for wall shear stress
(b) Integrate to obtain expression for skin friction drag
(c) Evaluate for conditions shown

Solution:
Basic
Equation:

Cf 

τw
1
2

0.0594



(Skin friction factor)

1

2

 ρ U

Rex

5

Assumptions: 1) Steady flow
2) No pressure force
3) No body force in x direction
4) Uniform flow at ab

1

τw  0.0594   ρ U   Rex
2

Solving the above expression for the wall shear stress:

2









1
5

1

U
2
τw  0.0594   ρ U    
2

  ν

1


5

x

1
5

L


L
1



1
1



L
5 


1
U
2
5
5
FD   τw b dx   0.0594   ρ U    
dx where c is defined:
x
 b dx  c  b   x


2
ν





0

0

Integrating to find the drag:

0



1
U
2
c  0.0594   ρ U    
2

  ν

1



4

5

Therefore the drag is:

5
5
1
U L 
5
2
FD   c b  L   0.0594  ρ U  b  L 

4
4
2
 ν 

Upon simplification:

1
5

1
0.0721
2
FD   ρ U  b  L
1
2
ReL

Evaluating, with b  1  m

ReL 

U L
ν

 1  10

6

1
0.0721
2
FD   ρ U  b  L
1
2
ReL

5

FD  2.27 N

5

Problem 9.54

[Difficulty: 3]

Note: Figure data applies to problem 9.18 only

Given:

Data on fluid and turbulent boundary layer

Find:

Mass flow rate across ab; Momentum flux across bc; Distance at which turbulence occurs

Solution:

CV

Mass
Basic
equations:
d

Momentum

c

Rx

Assumptions: 1) Steady flow 2) No pressure force 3) No body force in x direction 4) Uniform flow at ab
The given or available data (Table A.10) is
U  50

m
s

δ  19 mm

Consider CV abcd

b  3 m

ρ  1.23

kg

ν  1.50  10

3

2
5 m



m

kg
mad  3.51
s

mad  ρ U b  δ

(Note: Software cannot render a dot)
1

δ


mad   ρ u  b dy  mab  0


Mass

s

and in the boundary layer

u
U

0

7



1

y  η7
δ
 

dy  dη  δ

1

Hence


1


7
7
mab  ρ U b  δ   ρ U η  δ dη  ρ U b  δ   ρ U b  δ

8
0

1
mab   ρ U b  δ
8

kg
mab  0.438 
s

1

δ

The momentum flux
across bc is


  δ
mfbc   u  ρ V dA  


0

0


2


7
2
2
7
u  ρ u  b dy   ρ U  b  δ η dη  ρ U  b  δ

9
0

7
2
mfbc   ρ U  b  δ
9

mfbc  136.3 

2

s

From momentum

Rx  U ( ρ U δ)  mab u ab  mfbc

Transition occurs at

Rex  5  10

5

kg m

and

2

Rx  ρ U  b  δ  mab U  mfbc

U x
Rex 
ν

x trans 

Rx  17.04  N

Rex  ν
U

x trans  0.1500 m

Problem 9.55

U  10

[Difficulty: 3]

m

L  5 m

ν  1.45  10

2
5 m



Given:

Data on flow over a flat plate

Find:

Plot of laminar and turbulent boundary layer; Speeds for transition at trailing edge

s

(from Table A.10)

s

Solution:
Governing For laminar flow δ 5.48

Equations:
x
Rex
The critical Reynolds number is

(9.21)

and

U x
Rex 
ν

δ  5.48

so

Recrit  500000 Hence, for velocity U the critical length xcrit is

δ
x



0.382

(9.26)

Rex

δ  0.382  

so

1

For (a) completely laminar flow Eq. 1 holds; for (b) completely turbulent flow Eq. 3 holds; for (c)
transitional flow Eq.1 or 3 holds depending on xcrit in Eq. 2. Results are shown below from Excel.

Re x

0.00
0.125
0.250
0.375
0.500
0.700
0.75
1.00
1.50
2.00
3.00
4.00

0.00E+00
8.62E+04
1.72E+05
2.59E+05
3.45E+05
4.83E+05
5.17E+05
6.90E+05
1.03E+06
1.38E+06
2.07E+06
2.76E+06

5.00

3.45E+06

(a) Laminar (b) Turbulent (c) Transition
δ (mm)
δ (mm)
δ (mm)
0.00
0.00
0.00
2.33
4.92
2.33
3.30
8.56
3.30
4.04
11.8
4.04
4.67
14.9
4.67
5.52
19.5
5.5
5.71
20.6
20.6
6.60
26.0
26.0
8.08
35.9
35.9
9.3
45.2
45.2
11.4
62.5
62.5
13.2
78.7
78.7
14.8

94.1

94.1

4

5
 x

 U

5

x (m)

ν

5

(1)

U

x crit  500000
1

For turbulent flow

ν x

(3)

ν
U

(2)

Boundary Layer Profiles on a Flat Plate
100
75
δ (mm)

Laminar
Turbulent
Transitional

50
25
0
0

0.5

1

1.5

2

2.5
x (m)

3

The speeds U at which transition occurs at specific points are shown below
x trans
(m)
5
4
3
2
1

U (m/s)
1.45
1.81
2.42
3.63
7.25

3.5

4

4.5

5

Problem 9.56

Turbulent boundary layer flow of water
L  1 m

Find:
Solution:
Governing
Equations:

Plot δ,

δ*,

U  1

1
2
6 m

m

ν  1.00  10

s



u
U

s



y
δ
 

7

and τw versus x/L for the plate

We will determine the drag force from the shear stress at the wall
δ
x



0.382

(Boundary layer thickness)

1

Rex
δdisp
δ

Cf 



5

1

(Displacement thickness)

8
τw

1
2



0.0594

(Skin friction factor)

1

2

 ρ U

Rex

5

Assumption: Boundary layer is turbulent from x = 0
For the conditions given:

ReL 

U L
ν

6

 1.0  10

1

q 

2

2

 ρ U  500 Pa

τw 

0.0594
1

Rex
30
Boundary Layer and Displacement Thicknesses (mm)

Here is the plot of boundary layer thickness
and wall shear stress:



 q  29.7 Pa Rex

1
5

5

3
BL Thickness
Disp. Thickness
Wall Shear

20

2

10

1

0

0

0.5
x (m)

0
1

Wall Shear Stress (Pa)

Given:

[Difficulty: 2]

Problem 9.57

Given:

Triangular plate

Find:

Drag

[Difficulty: 3]

Solution:
Basic
equations:

cf 

τw
1
2

2

 ρ U

L  2  ft
From Table A.10 at 70oF

cf 

We also have

2
 4 ft



ρ  0.00234 

s

ReL 

U  80

ft
s

slug
ft

3

U L

ReL  9  10

ν

5

so definitely still laminar over a
significant portion of the plate,
but we are told to assume
turbulent!

L


FD   τw dA




FD   τw w( x ) dx


w( x )  W

0

x
L

1
1
2
2 0.0594
τw  cf   ρ U   ρ U 
1
2
2


1
2 W
FD   ρ U   
2
L 




L

The integral is

W  2  ft

2

Rex
Hence

5

L  1.732  ft

First determine the nature of the boundary layer

The drag (one side) is

1

Rex

3

ν  1.62  10

0.0594


9
4


5 5
5
 x dx   L

9
0

L

5
1 


9

0.0594 x
1

 U x 
 ν 



dx 

0.0594
2

L
4

5 
5
 ν   x dx

L
0

5 W

 ρ U 

5

0

1

so



4

9

FD  0.0165 ρ W L  ν U

Note: For two-sided solution



5

FD  0.0557 lbf
2  FD  0.1114 lbf

Problem 9.58

Given:

Parabolic plate

Find:

Drag

[Difficulty: 3]

Solution:
Basic
equations:

cf 

τw
1
2

cf 

2

 ρ U

0.0594
1

Rex

5

W
2
 
L

W  1  ft

2

L  3 in

1 ft

U  80

ft
s

Note: "y" is the equation of the upper and lower surfaces, so y = W/2 at x = L
From Table A.9 at 70 oF

ν  1.63  10

 4 ft



2

ρ  0.00233 

s

ft
ReL 

First determine the nature of the boundary layer

The drag (one side) is

We also have

3

U L

ReL  1.23  10

ν

5

so still laminar, but we are
told to assume turbulent!

L


FD   τw dA




FD   τw w( x ) dx


w( x )  W

0

x
L

1
1
2
2 0.0594
τw  cf   ρ U   ρ U 
1
2
2
Rex

Hence

slug




1
2
FD   ρ U  W 
2






5

L

x

0.0594

L
1

 U x 
 ν 



9

dx 

0.0594
2



1

1 


L
3

5
2 5 
10
 ρ U  W L
 ν   x dx

0

5

0
1



4

9

FD  0.0228 ρ W ν L  U



5

FD  0.00816  lbf
Note: For two-sided solution

2  FD  0.01632  lbf

Problem 9.59

Given:

Pattern of flat plates

Find:

Drag on separate and composite plates

[Difficulty: 3]

Solution:
Basic
equations:

cf 

τw
1
2

For separate plates
From Table A.7 at 70 oF

cf 

2

 ρ U

We also have

L  3  in

5

W  3  in

ν  1.06  10

 5 ft



2

ρ  1.93

s

ft
s

slug
3

U L

ReL 

ReL  1.89  10

ν

6

so turbulent

L


FD   τw dA


1

U  80

ft


FD   τw W dx

0

1

2

τw  cf   ρ U 
2
2

2 0.0594
 ρ U 
1

Rex

Hence

1

Rex

First determine the nature of the boundary layer

The drag (one side) is

0.0594


2
FD   ρ U  W 
2






5
1 


9

L

1

0.0594
1

 U x 
 ν 



dx 

0.0594
2

L


1

5
5 
5
 ρ U  W ν   x
dx

0

5

0

L

The integral is


4
  1

5 5
5
dx   L
 x

4
0

This is the drag on one plate. The total drag is then

1

so



4

9

FD  0.0371 ρ W ν L  U



5

FTotal  4  FD

FD  1.59 lbf

FTotal  6.37 lbf
For both sides:

2  FTotal  12.73  lbf

For the composite plate

L  4  3  in

L  12.00  in and since the Reynolds number for the single plate was turbulent, we
know that the flow around the composite plate will be turbulent as well.
1



4



9

FComposite  0.0371 ρ W ν L  U

5

FComposite  4.82 lbf
For both sides:

2  FComposite  9.65 lbf

The drag is much lower on the composite compared to the separate plates. This is because τ w is largest
near the leading edges and falls off rapidly; in this problem the separate plates experience leading edges
four times!

Problem 9.60

[Difficulty: 3]

1

u

1

6



y  η 6
δ
 

Given:

Turbulent boundary layer flow with 1/6 power velocity profile:

Find:

Expressions for δ/x and Cf using the momentum integral equation; compare to 1/7-power rule results.

Solution:

We will apply the momentum integral equation

U

τw

Governing
Equations:

ρ





τw

Cf 

1
2

Assumptions:



2
d
d 
U  θ  δdisp U  U 
dx
 dx 

(Momentum integral equation)

(Skin friction coefficient)
2

 ρ U

(1) Zero pressure gradient, so U is constant and dp/dx = 0
(2) δ is a function of x only, and δ = 0 at x = 0
0.25
(3) Incompressible flow
2 ν 
τ
0.0233

ρ

U


 U δ 
(4) Wall shear stress is:
w






  1
u 
u  
2 d  


τw  ρ U   θ   ρ U 
δ
  1   dη
U 
U  
dx  
 dx 

  0

  1

2  
    1

2  
6
6  
2 6
Setting our two τ w's equal:
Substituting for the velocity profile: τw  ρ U  d δ   η  η  dη  ρ U    d δ 
dx  

56
x
d


  0


Applying the assumptions to the momentum integral equation yields:

2 d

1

1

0.0233 ρ U  
2



U

δ
 
ν

0.25

 d δ

56  dx 

2 6

 ρ U 



Simplifying and separating variables:

4

δ  dδ  0.0233

56
6

 

ν

4

  dx
 U
4

1 


4
4


4 4
56 ν
5
56 ν
 δ  0.0233     x  C but C = 0 since δ = 0 at x = 0. Therefore: δ    0.0233     x
5
6  U
6  U
4

5

Integrating both sides:

1

5

In terms of the Reynolds number:

δ
x



0.353
1

Rex

5

For the skin friction factor:
1
1

0.0233 ρ U  
2

Cf 

τw
1
2


2

 ρ U

1
2



 U δ 
ν

2

 ρ U

4

4

1


1 
  Re 5 
4
4
x
ν  x
4
 0.0466 
     0.0466 Rex   0.353  Upon simplification:
 U x   δ 


1

1

Cf 

0.0605
1

Rex
These results compare to

δ
x



0.353
1

Rex

5

and

Cf 

0.0605
1

Rex

5

for the 1/7-power profile.

5

Problem 9.61

[Difficulty: 3]

1

Given:

u

Turbulent boundary layer flow with 1/6 power velocity profile:

U
The given or available data (Table A.9) is

U  1

m
s

L  1 m

1

6



y  η 6
δ
 
2
6 m

ν  1.00  10



s

ρ  999

Expressions for δ/x and Cf using the momentum integral equation; evaluate drag for the conditions given

Solution:

We will apply the momentum integral equation
τw
ρ





τw

Cf 

1
2

Assumptions:



2
d
d 
U  θ  δdisp U  U 
dx
 dx 

3

m

Find:

Governing
Equations:

kg

(Momentum integral equation)

(Skin friction coefficient)
2

 ρ U

(1) Zero pressure gradient, so U is constant and dp/dx = 0
(2) δ is a function of x only, and δ = 0 at x = 0
0.25
(3) Incompressible flow
ν 
2
τw  0.0233 ρ U  

(4) Wall shear stress is:
U δ






  1
u 
u
2 d  

Applying the assumptions to the momentum integral equation yields:
τw  ρ U   θ   ρ U 
δ 
  1   dη
U 
U  
dx  
 dx 

  0

  1

2  
    1




2
6
6  
2 6
Setting our two τ w's equal:
Substituting for the velocity profile: τw  ρ U  d δ   η  η  dη  ρ U    d δ 
dx  

56  dx 
0
 

2 d

1

1

0.0233 ρ U  
2



 U δ 
ν

0.25

 d δ

56  dx 

2 6

 ρ U 



Simplifying and separating variables:

4

δ  dδ  0.0233

56

 

ν

4

  dx
6  U
4

1 


4
4 

56
ν
5
56
ν
4 4
 δ  0.0233     x  C but C = 0 since δ = 0 at x = 0. Therefore: δ    0.0233     x
6  U
6  U
5
4

5

Integrating both sides:

1

5

δ

In terms of the Reynolds number:

x



0.353
1

Rex

5

For the skin friction factor:
1
1

0.0233 ρ U  
2

Cf 

τw
1
2



1

2

 ρ U

2



 U δ 
ν

4

2

 ρ U

4

1


1 
  Re 5 
4
4
x
ν  x
4
 0.0466 
     0.0466 Rex   0.353  Upon simplification:
U

x
δ

  


1

1

Cf 

0.0605
1

Rex

5

L

The drag force is:


1
1 L

1
  1

L

5
5


0.0605
1
2 ν
5
2 ν
5
FD   τw b dx   0.0605  ρ U     x
 ρ U     b   x
dx
 b dx 


2
2

 U
 U
0

0
0

1

Evaluating the integral:

FD 

0.0605
2

 ρ U  
2

ν


 U

5

4

5 5
 b  L
4

2

In terms of the Reynolds number: FD 

0.0378 ρ U  b  L
1

ReL
For the given conditions and assuming that b = 1 m:

6

ReL  1.0  10

5

and therefore:

FD  2.38 N

Problem 9.62

[Difficulty: 3]

1

u

1

8



y  η8
δ
 

Given:

Turbulent boundary layer flow with 1/8 power velocity profile:

Find:

Expressions for δ/x and Cf using the momentum integral equation; compare to 1/7-power rule results.

Solution:

We will apply the momentum integral equation

U

τw

Governing
Equations:

ρ





τw

Cf 

1
2

Assumptions:



2
d
d 
U  θ  δdisp U  U 
dx
 dx 

(Momentum integral equation)

(Skin friction coefficient)
2

 ρ U

(1) Zero pressure gradient, so U is constant and dp/dx = 0
(2) δ is a function of x only, and δ = 0 at x = 0
0.25
(3) Incompressible flow
2 ν 
τ
0.0233

ρ

U


 U δ 
(4) Wall shear stress is:
w






  1
u 
u  
2 d  


τw  ρ U   θ   ρ U 
δ
  1   dη
U 
U  
dx  
 dx 

  0


  1
2  
    1

2  
8
8  
2 8
Setting our two τ w's equal:
Substituting for the velocity profile: τw  ρ U  d δ   η  η  dη  ρ U    d δ 
dx  

90
x
d


  0


Applying the assumptions to the momentum integral equation yields:

2 d

1

1

0.0233 ρ U  
2



U

δ
 
ν

0.25

 d δ

56  dx 

2 6

 ρ U 



Simplifying and separating variables:

δ  dδ  0.262  
4

ν

4

  dx
 U
4

1

5

Integrating both sides:

4
5

δ

4

 0.262  

ν

4

 x  C
 U

1 


4
5

ν
but C = 0 since δ = 0 at x = 0. Therefore: δ    0.262     x
4
 U 

In terms of the Reynolds number:

δ
x



5

0.410
1

Rex

5

For the skin friction factor:
1
1

0.0233 ρ U  
2

Cf 

τw
1
2


2

 ρ U

1
2



 U δ 
ν

2

 ρ U

4

4

1


1 
  Re 5 
4
4
ν  x
x
4
 0.0466 
    0.0466 Rex

 Upon simplification:

 U x   δ 
 0.410 
1

1

Cf 

0.0582
1

Rex
These results compare to

δ
x



0.353
1

Rex

5

and

Cf 

0.0605
1

Rex

5

for the 1/7-power profile.

5

Problem 9.63

Given:

[Difficulty: 3]

Turbulent boundary layer flow of water, 1/7-power profile

The given or available data (Table A.9) is
U  20

m
s

Find:

L  1.5 m

b  0.8 m ν  1.46  10

2
5 m



s

ρ  1.23

kg
3

x 1  0.5 m

m

(a) δ at x = L
(b) τw at x = L
(c) Drag force on the portion 0.5 m < x < L

Solution:
Basic
equations:

δ
x



0.382

Rex
Cf 

(Boundary Layer Thickness)

1
5

τw
1
2

0.0594



(Skin friction factor)

1

2

 ρ U

Rex

5

Assumptions: 1) Steady flow
2) No pressure force
3) No body force in x direction
At the trailing edge of the plate:

ReL 

U L
ν

 2.05  10

6

Therefore

0.382

δL  31.3 mm

1

ReL

1
2 0.0594
Similarly, the wall shear stress is: τwL   ρ U 
1
2
ReL

δL  L

5

τwL  0.798  Pa

5

L

To find the drag:


L
1


1

1



L

5


1
U
5
2
5
x
 b dx  c  b   x
FD   τw b dx   0.0594   ρ U    
dx where c is defined:



2
ν




x
0
x
1
1



U
1
2
c  0.0594   ρ U    
2

  ν

1

4

5

Therefore the drag is:





5
5 1
5
2
FD   c b  L    ρ U  b  L CfL  x 1  Cfx1
4
4 2

At x = x1:

Rex1 

U x 1
ν

 6.849  10

5

Cfx1 

0.0594
1

Rex1

3

 4.043  10

and at x = L CfL 

5

0.0594
1

ReL

5

Therefore the drag is:
Alternately, we could solve for the drag using the momentum thickness:

At x = L

δL  31.304 mm

7
θL 
 δ  3.043  mm At x = x1:
72 L



2

FD  ρ U  b  θL  θx1

δx1  x 1 

0.382
1

Rex1



3

 3.245  10

FD  0.700 N

where θ 

 12.999 mm θx1 

7
72

δ

7
 δ  1.264  mm
72 x1

5

Therefore the drag is:

FD  0.700 N

Problem 9.64

Given:

[Difficulty: 3]

Air at standard conditions flowing over a flat plate

The given or available data (Table A.10) is
U  30

ft
s

Find:

x  3  ft

ν  1.57  10

 4 ft



2

ρ  0.00238

s

slug
ft

3

δ and τw at x assuming:
(a) completely laminar flow (parabolic velocity profile)
(b) completely turbulent flow (1/7-power velocity profile)

Solution:
(Laminar Flow)

Basic
equations:

δ
x



(Turbulent Flow)

5.48

δ

Rex

x



0.382

Rex
Cf 

τw
1
2


2

 ρ U

0.730

U x
ν

δlam  x 

For laminar flow:

1
2

Rex 

The Reynolds number is:

 5.73  10

δturb  x 

5.48

0.382

Comparing results:

δlam

(Skin friction factor)

1

2

 ρ U

Rex

5

τwlam  7.17  10

5

The turbulent boundary layer has a much larger skin friction, which causes it to
grow more rapidly than the laminar boundary layer.
 4.34

5

τwturb  3.12  10

 3.72

τwlam

 psi

5

Rex

τwturb

6

δturb  0.970  in

1

1
2 0.0594
τwturb   ρ U 
1
2
δturb

0.0594

δlam  0.261  in

Rex

Rex



5

1
2 0.730
τwlam   ρ U 
2
Rex
For turbulent flow:

5

τw

Cf 

Rex

(Boundary Layer Thickness)

1

 psi

Problem 9.65

Given:

[Difficulty: 3]

Air at standard conditions flowing through a plane-wall diffuser with negligible
BL thickness. Walls diverge slightly to accomodate BL growth, so p = constant.

The given or available data (Table A.9) is
U  60

m
s

Find:

L  1.2 m

W1  75 mm

2
5 m

ν  1.46  10



s

ρ  1.23

kg
3

m

(a) why Bernoulli is applicable to this flow.
(b) diffuser width W2 at x = L

Solution:
p1

Basic
equations:

ρ



V1
2

2

p2

 g  z1 

ρ

V2

2

 g  z2

2

 


 ρ dV   ρ V dA  0

t 

Assumptions:

(Bernoulli Equation)

(Continuity)

(1) Steady flow
(2) Turbulent, 1/7-power velocity profile in boundary layer
(3) z = constant
(4) p = constant

The Bernoulli equation may be applied along a streamline in any steady, incompressible flow in the absence of
friction. The given flow is steady and incompressible. Frictional effects are confined to the thin wall boundary
layers. Therefore, the Bernoulli equation may be applied along any streamline in the core flow outside the boundary
layers. (In addition, since there is no streamline curvature, the pressure is uniform across sections 1 and 2.
From the assumptions, Bernoulli reduces to: V1  V2 and from continuity: ρ V1  A1  ρ V2  A2eff  0





or A2eff  W2  2  δdisp2  b  W1  b

The Reynolds number is:

ReL 

U L
ν

Therefore: W2  W1  2  δdisp2
6

 4.932  10

From turbulent BL theory:

δ2  L

0.382
1

ReL

5

 21.02  mm

The displacement thickness is determined from:


δdisp2  δ2  



1

1

 1  u  dη


U


where

u
U

η

7

η

y
δ

0

Substituting the velocity profile and valuating the integral:




δdisp2  δ2  


1

1

δ2

7
 1  η  dη 

0

Therefore:

W2  W1  2  δdisp2

8

δdisp2  2.628  mm

W2  80.3 mm

Problem 9.66

Given:

[Difficulty: 3]

Laboratory wind tunnel has flexible wall to accomodate BL growth. BL's are well
represented by 1/7-power profile. Information at two stations are known:

The given or available data (Table A.9) is
U  90

ft
s

Find:

H1  1  ft

W1  1  ft

δ1  0.5 in

δ6  0.65 in

ν  1.57  10

 4 ft



2

ρ  0.00238 

s

slug
ft

3

(a) Height of tunnel walls at section 6.
(b) Equivalent length of flat plate that would produce the inlet BL
(c) Estimate length of tunnel between stations 1 and 6.

Solution:
Basic
equations:
Assumptions:

 


 ρ dV   ρ V dA  0

t 

(Continuity)

(1) Steady flow
(2) Turbulent, 1/7-power velocity profile in boundary layer
(3) z = constant
(4) p = constant

Applying continuity between 1 and 6:

A1  U1  A6  U6

where A is the effective flow area. The velocities at 1 and 6 must be
equal since pressure is constant. In terms of the duct dimensions:

W1  2 δdisp1H1  2 δdisp1  W1  2 δdisp6 H6  2 δdisp6
solving for the height at 6:

H6 

W1  2 δdisp1H1  2 δdisp1
 2  δdisp6
W1  2 δdisp6

The displacement thickness is determined from:


δdisp  δ 



1

1

 1  u  dη


U


u

where

U

η

7

η

y
δ

0

Substituting the velocity profile and valuating the integral:




δdisp  δ 


1

0

1


δ
7
 1  η  dη 

δdisp1  0.0625 in
Therefore:

8

We may now determine the height at 6:

δdisp6  0.0813 in

H6  1.006  ft

1

For a flat plate turbulent boundary layer with 1/7-power law profile: δ1  L1 
5

1

4

 δ1   U  4
L1  
  
 0.382   ν 

0.382
1

Re1

 0.382  

ν

5

4

5
  L1 Solving for L1:

 U

5

L1  1.725  ft

To estimate the length between 1 and 6, we determine length necessary to build the BL at section 6:
5

1

4

L6 

 δ6   U  4

     2.394  ft
 0.382   ν 

Therefore, the distance between 1 and 6 is:

L  L6  L1
L  0.669  ft

Problem 9.67

Given:

[Difficulty: 3]

Laboratory wind tunnel has fixed walls. BL's are well represented by 1/7-power
profile. Information at two stations are known:

The given or available data (Table A.9) is
m
U1  26.1
s

Find:

H  305  mm W  305  mm δ1  12.2 mm δ2  16.6 mm

ν  1.46  10

2
5 m



ρ  1.23

s

kg
3

m

(a) Change in static pressure between 1 and 2
(b) Estimate length of tunnel between stations 1 and 2.

Solution:
Basic
equations:

 


 ρ dV   ρ V dA  0

t 

Assumptions:

(Continuity)

(1) Steady flow
(2) Turbulent, 1/7-power velocity profile in boundary layer
(3) z = constant
A1  U1  A2  U2

Applying continuity between 1 and 6:

where A is the effective flow area. In terms of the duct dimensions:

W  2 δdisp1H  2 δdisp1 U1  W  2 δdisp2 H  2 δdisp2 U2
solving for the speed at 2:










W  2  δdisp1 H  2  δdisp1
U2  U1 
W  2  δdisp2  H  2  δdisp2

δdisp  δ 



The displacement thickness is determined from:

1

1

1 

 dη
U

u

u

where

U

η

7

η

y
δ

0

Substituting the velocity profile and valuating the integral:




δdisp  δ 


1

0

1


δ
7
 1  η  dη 

δdisp1  1.525  mm
Therefore:

8

We may now determine the speed at 2:
Applying Bernoulli between 1 and 2:

p1
ρ



U1
2

2



p2
ρ



U2
2

2

Solving for the pressure change:

∆p 

Substituting given values:

δdisp2  2.075  mm
m
U2  26.3
s
1
2

 ρ  U1  U2

2

∆p  6.16Pa

2



1

For a flat plate turbulent boundary layer with 1/7-power law profile: δ  x 
5

1

4

4

 δ1   U1 
x1  
     0.494 m
 0.382   ν 

0.382
1

Rex

 0.382  

ν

5

4

5
Solving for location at 1:
 x

 U

5

To estimate the length between 1 and 6, we determine length necessary to build the BL at section 2:
5

1

4

4

 δ2   U2 
x2  
     0.727 m
 0.382   ν 

Therefore, the distance between 1 and 2 is:

L  x2  x1
L  0.233 m

Problem 9.68

[Difficulty: 3]

Given:

Data on flow in a duct

Find:

Velocity at location 2; pressure drop; length of duct; position at which boundary layer is 20 mm

Solution:
The given data is

D  6  in

δ1  0.4 in

Table A.9

ρ  0.00234 

slug
ft

Governing
equations
Mass

In the boundary layer

δ
x



ν  1.56  10

3

ft
U1  80
s

δ2  1.2 in

0.382

 4 ft



2

s

(9.26)

1
5

Rex
In the the inviscid core, the Bernoulli equation holds
p
ρ

2



V

2

 g  z  constant

(4.24)

Assumptions: (1) Steady flow
(2) No body force (gravity) in x direction
For a 1/7-power law profile, from Example 9.4 the displacement thickness is
Hence

δ
δdisp 
8

δ1
δdisp1 
8

δdisp1  0.0500 in

δ2
δdisp2 
8

δdisp2  0.1500 in

From the definition of the displacement thickness, to compute the flow rate, the uniform flow at locations 1
and 2 is assumed to take place in the entire duct, minus the displacement thicknesses





π
2
A1   D  2  δdisp1
4

A1  0.1899 ft

2





π
2
A2   D  2  δdisp2
4

A2  0.1772 ft

2

Mass conservation (Eq. 4.12) leads to U2

ρ U1 A1  ρ U2 A2  0

or

A1
U2  U1 
A2

ft
U2  85.7
s

The Bernoulli equation applied between locations 1 and 2 is
p1
ρ
or the pressure drop is



U1

2



2

p2
ρ



U2

2

2

ρ
2
2
p 1  p 2  ∆p    U2  U1 


2

∆p  7.69  10

3

 psi (Depends on ρ value selected)

The static pressure falls continuously in the entrance region as the fluid in the central core accelerates into a decreasing core.
If we assume the stagnation pressure is atmospheric, a change in pressure of about 0.008 psi is not significant; in addition, the
velocity changes by about 5%, again not a large change to within engineering accuracy
To compute distances corresponding to boundary layer thicknesses, rearrange Eq.9.26
1

δ
x



0.382
1

Rex

 0.382  



U

x


ν

5

5

so

x

 δ 
 0.382 



4

1

 

U


 ν

5

Applying this equation to locations 1 and 2 (using U = U1 or U2 as approximations)
5

1

4

4

 δ1   U1 
x1  
  
 0.382   ν 

For location 3

x 1  1.269  ft

5

1

 δ2   U2 
x2  
  
 0.382   ν 

4

4

x 2  x 1  3.83 ft

(Depends on ν value selected)

δ3  0.6 in

δ3
δdisp3 
8



x 2  5.098  ft



δdisp3  0.075  in

π
2
A3   D  2  δdisp3
4

A3  0.187  ft

A1
U3  U1 
A3

ft
U3  81.4
s
5

1

 δ3   U2 
x3  
  
 0.382   ν 

4

4

x 3  x 1  0.874  ft

(Depends on ν value selected)

x 3  2.143  ft

2

4

Problem 9.69

[Difficulty: 3]

Given:

Linear, sinusoidal and parabolic velocity profiles

Find:

Momentum fluxes

Solution:
δ

The momentum flux is given by


2
mf   ρ u  w dy

0

where w is the width of the boundary layer
For a linear velocity profile

u
U

For a sinusoidal velocity profile

u
U

For a parabolic velocity profile

u
U



y
δ

η

(1)

 sin

π y
π
   sin  η
 2 δ
2 

 2  

y


δ

(2)

2



 y   2  η  ( η) 2
δ
 

For each of these

u  U f ( η)

Using these in the momentum flux equation


2
mf  ρ U  δ w  f ( η) dη


(3)

y  δ η
1

2

(4)

0

1

For the linear profile Eqs. 1 and 4 give

 2
mf  ρ U  δ w  η dη

2

mf 

1

mf 

1

mf 

8

0

3

2

 ρ U  δ w

1

For the sinusoidal profile Eqs. 2 and 4 give


2

π
2
mf  ρ U  δ w  sin  η dη

2 


2

2

 ρ U  δ w

0

For the parabolic profile Eqs. 3 and 4 give



2
mf  ρ U  δ w 


1
2

2  η  ( η) 2 dη

0

The linear profile has the smallest momentum, so would be most likely to separate

15

2

 ρ U  δ w

Problem 9.70

[Difficulty: 3]

Given:

Data on a large tanker

Find:

Cost effectiveness of tanker; compare to Alaska pipeline

Solution:
The given data is

L  360  m

B  70 m

D  25 m

kg

ρ  1020

U  6.69

3

m
s

m
4

P  1.30  10  hp

(Power consumed by drag)

P  9.7 MW
The power to the propeller is

P
Pprop 
70 %

Pprop  1.86  10  hp

The shaft power is

Ps  120% Pprop

Ps  2.23  10  hp

The efficiency of the engines is

η  40 %

Hence the heat supplied to the engines is

Q 
t 

The journey time is

Ps

4

4

8 BTU

Q  1.42  10 

η
x

hr

t  134  hr

U

10

Qtotal  Q t

The total energy consumed is

x  2000 mi

Qtotal  1.9  10  BTU

From buoyancy the total ship weight equals the displaced seawater volume
M ship g  ρ g  L B D

9

M ship  ρ L B D

M ship  1.42  10  lb

Hence the mass of oil is

M oil  75% M ship

M oil  1.06  10  lb

The chemical energy stored in the petroleum is

q  20000 
E  q  M oil

The total chemical energy is

The equivalent percentage of petroleum cargo used is then

9

BTU
lb
13

E  2.13  10  BTU
Qtotal
E

The Alaska pipeline uses

epipeline  120 

BTU

but for the
ton mi ship

The ship uses only about 15% of the energy of the pipeline!

 0.089  %

eship 

Qtotal
M oil x

eship  17.8

BTU
ton mi

Problem 9.71

Given:

Plane-wall diffuser

Find:

(a) For inviscid flow, describe flow pattern and pressure distribution as φ is increased from zero
(b) Redo part (a) for a viscous fluid
(c) Which fluid will have the higher exit pressure?

[Difficulty: 2]

Solution:
For the inviscid fluid:
With φ = 0 (straight channel) there will be no change in the velocity, and hence no pressure gradient.
With φ > 0 (diverging channel) the velocity will decrease, and hence the pressure will increase.
For the viscous fluid:
With φ = 0 (straight channel) the boundary layer will grow, decreasing the effective flow area. As a result, velocity
will increase, and the pressure will drop.
With φ > 0 (diverging channel) the pressure increase due to the flow divergence will cause in increase in the rate of
boundary layer growth. If φ is too large, the flow will separate from one or both walls.
The inviscid fluid will have the higher exit pressure. (The pressure gradient with the real fluid is reduced by the
boundary layer development for all values of φ.)

Problem 9.72

[Difficulty: 4]

Given:

Laminar (Blasius) and turbulent (1/7-power) velocity distributions

Find:

Plot of distributions; momentum fluxes

Solution:
δ

The momentum flux is given by


2
mf   ρ u dy


per unit width of the boundary layer

0

Using the substitutions

u
U

y

 f ( η)

δ

η

1

the momentum flux becomes


2
mf  ρ U  δ  f ( η ) dη

2

0

For the Blasius solution a numerical evaluation (a Simpson's rule) of the integral is needed
2 ∆η 
2
2
2
2
mflam  ρ U  δ
 f η0  4  f η1  2  f η2  f ηN 


3

 

 

 

 

where Δη is the step size and N the number of steps
The result for the Blasius profile is

2

mflam  0.525  ρ U  δ
1

For a 1/7 power velocity profile


2

2 
7
mfturb  ρ U  δ  η dη

0

7
2
mfturb   ρ U  δ
9

The laminar boundary has less momentum, so will separate first when encountering an adverse pressure gradient. The
computed results were generated in Excel and are shown below:

(Table 9.1) (Simpsons Rule)
η
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0

Laminar Weight Weight x
u/U
0.000
0.166
0.330
0.487
0.630
0.751
0.846
0.913
0.956
0.980
0.992

w
1
4
2
4
2
4
2
4
2
4
1
Simpsons':

y /δ = η

2

(u/U )
0.00
0.11
0.22
0.95
0.79
2.26
1.43
3.33
1.83
3.84
0.98
0.525

0.0
0.0125
0.025
0.050
0.10
0.15
0.2
0.4
0.6
0.8
1.0

t
u/U
0.00
0.53
0.59
0.65
0.72
0.76
0.79
0.88
0.93
0.97
1.00

Laminar and Turbulent Boundary Layer
Velocity Profiles
1.00
0.75
y /δ
0.50

Laminar
Turbulent

0.25
0.00
0.00

0.25

0.50

0.75
u/U

1.00

Problem 9.73

[Difficulty: 5]

Given:

Channel flow with laminar boundary layers

Find:

Maximum inlet speed for laminar exit; Pressure drop for parabolic velocity in boundary layers

Solution:
Basic
equations:

Retrans  5  10

δ

5

x



5.48

p

Rex

ρ

2



V

 g  z  const

2

Assumptions: 1) Steady flow 2) Incompressible 3) z = constant
From Table A.10 at 20oC

Then
For

For a parabolic profile

ν  1.50  10

2
5 m



ρ  1.21

s

Umax L

Retrans 

Umax 

ν
5

Retrans  5  10
δdisp
δ






1

0

δ2  L

3

m
Retrans ν
L
5.48
Retrans

L  3 m

h  15 cm

m
Umax  2.50
s

U1  Umax



m
U1  2.50
s

δ2  0.0232 m

1
1
2
 1  u  dλ  
 1  2  λ  λ dλ 



U
3

0

1
δdisp2   δ2
3
From continuity

kg



where δtrans is the displacement
thickness

δdisp2  0.00775 m





U1  w h  U2  w h  2  δdisp2

h
U2  U1 
h  2  δdisp2

m
U2  2.79
s

Since the boundary layers do not meet Bernoulli applies in the core
p1
ρ



∆p 
From hydrostatics

U1
2
ρ
2

2



p2
ρ



  U2  U1

2

∆p  ρH2O g  ∆h
∆h 

U2

∆p
ρH2O g

2

2
2

ρ
2
2
∆p  p 1  p 2    U2  U1 


2



∆p  0.922 Pa

with

kg
ρH2O  1000
3
m
∆h  0.0940 mm

∆h  0.00370  in

Problem 9.74

Given:

[Difficulty: 3]

u

Laminar boundary layer with velocity profile

U

2

 a  b  λ  c λ  d  λ

3

λ

y
δ

Separation occurs when shear stress at the surface becomes zero.

Find:

(a) Boundary conditions on the velocity profile at separation
(b) Appropriate constants a, b, c, d for the profile
(c) Shape factor H at separation
(d) Plot the profile and compare with the parabolic approximate profile

Solution:
Basic
equations:

u
U

 2  

y
  

δ δ
y

2

(Parabolic profile)

The boundary conditions for the separation profile are:

The velocity gradient is defined as:

du
dy

Applying the boundary conditions:



at y  0

u0

τ  μ

du

at y  δ

uU

τ  μ

du



U d  u  U
2
      b  2  c λ  3  d  λ
δ
δ dλ  U 

y0 λ0

u
U
du
dy

2



3

 a  b  0  c 0  d  0  0


The velocity profile and gradient may now be written as:


δ

U

 b  2  c 0  3  d  0

u

 c λ  d  λ

U

2

2

0

du

3



dy

U
δ

dy

dy

0

Four boundary
conditions for four
coefficients a, b, c, d

0

Therefore:

a0

Therefore:

b0



 2  c λ  3  d  λ

2



Applying the other boundary conditions:
yδ λ1

u
U
du
dy

The velocity profile is:

u
U

δdisp
δ





1

0

1



2

 3 λ  2 λ

3

2

3

 c 1  d  1  1


U
δ



 2  c 1  3  d  1

2

0



1



δdisp
θ



c3

d  2

δdisp δ

δ θ






2
3
2
3
  3  λ  2  λ  1  3  λ  2  λ dλ Expanding out the
δ 0
integrand yields:
θ


1
9
4
9
2
3
4
5
6
  3  λ  2  λ  9  λ  12 λ  4  λ dλ  1 

2

δ 0
2
5
7
70
θ

2 c  3 d  0

H

The shape parameter is defined as:

1  3λ2  2λ3 dλ  1  1  12  12

Solving this system
of equations yields:

cd1

Thus

H 

1
2



70
9

H  3.89

The two velocity profiles are plotted here:

Height y/δ

1

0.5

Separated
Parabolic
0

0

0.5

Velocity Distribution u/U

1

Problem 9.75

[Difficulty: 4]

Discussion: Shear stress decreases along the plate because the freestream flow speed remains constant while the
boundary-layer thickness increases.
The momentum flux decreases as the flow proceeds along the plate. Momentum thickness θ (actually proportional
to the defect in momentum within the boundary layer) increases, showing that momentum flux decreases. The
forct that must be applied to hold the plate stationary reduces the momentum flux of the stream and boundary
layer.
The laminar boundary layer has less shear stress than the turbulent boundary layer. Therefore laminar boundary
layer flow from the leading edge produces a thinner boundary layer and less shear stress everywhere along the
plate than a turbulent boundary layer from the leading edge.
Since both boundary layers continue to grow with increasing distance from the leading edge, and the turbulent
boundary layer continues to grow more rapidly because of its higher shear stress, this comparison will be the
same no matter the distance from the leading edge.

Problem 9.76

Given:

[Difficulty: 5]

Laboratory wind tunnel has fixed walls. BL's
are well represented by 1/7-power profile.
Information at two stations are known:

The given or available data (Table A.9) is
ft
U1  80
s
dp
dx

 0.035 

Find:

H1  1  ft
in H2 O

W1  1  ft

L  10 in

in

δ1  0.4 in

ν  1.62  10

 4 ft



2

ρ  0.00234 

s

slug
ft

3

(a) Reduction in effective flow area at section 1
(b) dθ/dx at section 1
(c) θ at section 2

Solution:
Basic
equations:

 


 ρ dV   ρ V dA  0

t 
τw
ρ

Assumptions:





(Continuity)



2
d
d 
U  θ  δdisp U  U 
dx
 dx 

(Momentum integral equation)

(1) Steady flow
(2) Turbulent, 1/7-power velocity profile in boundary layer
(3) z = constant

The percent reduction in flow area at 1 is given as:

Aeff  A
A

The displacement thickness is determined from:


δdisp  δ 



1



W1  2 δdisp H1  2 δdisp  W1 H1
W1  H1
1

 1  u  dη


U


u

where

U

η

7

η

y
δ

0

Substituting the velocity profile and valuating the integral:




δdisp  δ 


1

0

1


δ
7
 1  η  dη 

Therefore:

8

Thus:

δdisp1  0.0500 in
Aeff  A
A

 1.66 %

Solving the momentum integral equation for the momentum thickness gradient:

dθ
dx

1

At station 1:

τw1
ρ U1

2

 0.0233 


U1  δ1 



L



1


θ  u 
u

  1   dη  

δ  U 
U
0


ν

1

4

0.0233 

8

9

0

Solving for the velocity gradient:

p

1
2

τw
2

 ( H  2)

ρ U

θ dU

U dx

4

  2.057  10 3
U1  δ1 


ν

2
 1
 7
7
7
7
7
 η  η  dη   

Now outside the boundary layer



2

 ρ U  constant

72

δdisp1
7
Thus: θ1 
 δ1  0.0389 in H 
 1.286
72
θ1

from the Bernoulli equation. Then:

dp
dx

 ρ U

dU
dx

1 dp
1
1 dU



 0.1458 Substituting all of this information into the above expression:
2 dx
ft
U dx
ρ U
dθ
dx

We approximate the momentum thickness at 2 from:

dθ
θ2  θ1 
L
dx

 4.89  10

4

 0.00587 

in
ft

θ2  0.0438 in

Problem 9.77

Given:

[Difficulty: 5]

Laboratory wind tunnel of Problem 9.76 with a movable top wall:

The given or available data (Table A.9) is
ft
U1  80
s

Find:

H1  1  ft

W  1  ft

δ  0.4 in

L  10 in

ν  1.57  10

 4 ft



2

ρ  0.00234 

s

slug
ft

3

(a) Velocity distribution needed for constant boundary layer thickness
(b) Tunnel height distribution h(x) from 0 to L

Solution:
Basic
equations:

 


 ρ dV   ρ V dA  0

t 
τw
ρ

Assumptions:





(Continuity)



2
d
d 
U  θ  δdisp U  U 
dx
 dx 

(Momentum integral equation)

(1) Steady flow
(2) Incompressible flow
(3) Turbulent, 1/7-power velocity profile in boundary layer
(4) δ = constant

δ
From the 1/7-power profile: δdisp 
8

θ

7
72

δ

H 

72
56
τw

After applying assumptions, the momentum integral equation is:

2

 ( H  2)

ρ U

To integrate, we need to make an assumption about the wall shear stress:
τw
Integrating:
Case 1: assume constant τw:
U dU 
 dx
ρ θ ( H  2 )
U
U1



1

2  τw
ρ U1

x



2 θ ( H  2 )

2

 d U

U  dx 
θ

U  U1
2



2



τw
ρ θ ( H  2 )

which may be rewritten as:

x

U
U1



1

Cf
θ ( H  2 )

1

ν 
2
Case 2: assume τ w has the form: τw  0.0233 ρ U  

U
 δ 

4

Substituting and rearranging yields the following expression:

x

1

τw
2

ρ U

4

  ( H  2)  θ   d U



U  dx 
 U δ 

 0.0233 

ν

dU

or

0.75

 0.0233 

ν

0.25




δ

U

dx

Integrating this yields:

( H  2) θ

or:

0.25


ν 
x
 1  0.00583  


U1 
( H  2 )  θ

 U1 δ 


From continuity: U1  A1  U A which may be rewritten as:

U1  W  2  δdisp H1  2  δdisp  U W  2.δdisp  h  2  δdisp

0.25
0.25
 ν
4  U
 U1

  0.0233  δ 

Thus:

A
A1



U
U 
 1

 0.25



1

Evaluating using the given data:
Cf  0.0466 Reδ1

0.25

x
( H  2) θ

h  2  δdisp

and

H1  2  δdisp





U1

δ
δdisp 
 0.0500 in
8





W

U
θ 

7
72

 δ  0.0389 in





h

solving for h:



  1  2



Reδ1 

U1  δ
ν

δdisp  U1
δdisp
 2

H1
H1
 U
4

 1.699  10

3

 4.082  10

The results for both wall profiles are shown in the plot here:

Top Surface Height (in)

14

13.5

13

12.5

Case 1
Case 2
12

0

2

4

U

4

6

Distance along tunnel (in)

8

10



Problem 9.78

Given:

[Difficulty: 3]

Barge pushed upriver
L  80 ft B  35 ft

Find:

 5 ft

D  5  ft

From Table A.7: ν  1.321  10



2

s

ρ  1.94

slug
ft

3

Power required to overcome friction; Plot power versus speed

Solution:
CD 

Basic
equations:

FD
1
2

CD 

(9.32)

2

 ρ U  A

From Eq. 9.32

1
2
FD  CD A  ρ U
2

The power consumed is

P  FD U

0.455

logReL

2.58

A  L ( B  2  D)

and

1
3
P  CD A  ρ U
2



1610

(9.37b)

ReL

A  3600 ft

Re L

CD

P (hp)

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

9.70E+06
1.94E+07
2.91E+07
3.88E+07
4.85E+07
5.82E+07
6.79E+07
7.76E+07
8.73E+07
9.70E+07
1.07E+08
1.16E+08
1.26E+08
1.36E+08
1.45E+08

0.00285
0.00262
0.00249
0.00240
0.00233
0.00227
0.00222
0.00219
0.00215
0.00212
0.00209
0.00207
0.00205
0.00203
0.00201

0.0571
0.421
1.35
3.1
5.8
9.8
15
22
31
42
56
72
90
111
136

150
120
P (hp) 90
60
30
0
6

ν

The calculated results and the plot were generated in Excel:

U (mph)

3

U L

2

Power Consumed by Friction on a Barge

0

ReL 

9
U (mph)

12

15

Problem 9.79

Given:

Pattern of flat plates

Find:

Drag on separate and composite plates

[Difficulty: 3]

Solution:
Basic
equations:

CD 

FD
1
2

For separate plates
From Table A.8 at 70 oF

2

 ρ V  A

L  3  in

W  3  in

ν  1.06  10

 5 ft

First determine the Reynolds number ReL 
CD 



2

s
V L
ν

0.0742
1

ReL

ρ  1.93

A  W L

ft

3

ReL  7.08  10

5

5

This is the drag on one plate. The total drag is then

FTotal  4  FD

L  4  3  in

L  12.000 in
ReL 

First determine the Reylolds number
CD 

so use Eq. 9.34

CD  0.00502

FD  0.272  lbf

For the composite plate

V  30

slug

1
2
FD  CD  ρ V  A
2

The drag (one side) is then

2

A  9.000  in

0.0742
1

V L
ν

FTotal  1.09 lbf
For both sides:

2  FTotal  2.18 lbf

A  W L

A  36 in

ReL  2.83  10

2

6

so use Eq. 9.34

CD  0.00380

5

The drag (one side) is
then

ReL
1
2
FD  CD  ρ V  A
2

FD  0.826  lbf

For both
sides:

2  FD  1.651  lbf

The drag is much lower on the composite compared to the separate plates. This is because τ w is largest
near the leading edges and falls off rapidly; in this problem the separate plates experience leading edges
four times!

ft
s

Problem 9.80

Given:

[Difficulty: 3]

Towboat model at 1:13.5 scale to be tested in towing tank.
Lm  3.5 m

Find:

Bm  1  m

d m  0.2 m

m
Up  7  knot  3.601
s

Disp m  5500 N

(a) Estimate average length of wetted surface on the hull
(b) Calculate skin friction drag force on the prototype

Solution:
Basic
equations:

1
2
FD  CD  ρ U  A
2
CD 

(Drag)

0.455

logReL

2.58



1610

(Drag Coefficient)

ReL

We will represent the towboat as a rectangular solid of length L av, with the displacement of the boat. From buoyancy:
W  ρ g  V  ρ g  Lav Bm d m thus:
For the prototype:

Lav 

W
ρ g  Bm d m

Lp  13.5 Lav

Lp  37.9 m
ReL 

The Reynolds number is:

Lav  2.80 m

Up  Lp
ReL  1.36  10

ν

8

This flow is predominantly turbulent, so we will use a turbulent analysis.
The drag coefficient is: CD 

The area is:

2



0.455

logReL

2.58





1610
ReL

 0.00203

2

A  13.5  Lav Bm  2  d m  716 m

The drag force would then be:

1
2
FD  CD  ρ Up  A
2

FD  9.41 kN
This is skin friction only.

Problem 9.81

Given:

Aircraft cruising at 12 km

Find:

Skin friction drag force; Power required

[Difficulty: 3]

Solution:
Basic
equations:

CD 

FD
1

2

 ρ V  A

2
We "unwrap" the cylinder to obtain an equivalent flat plate
L  38 m

From Table A.3, with

D  4 m
ρ

z  12000  m

ρSL

ρ  0.2546 ρSL

2

A  L π  D
kg
ρSL  1.225 
3
m

 0.2546

kg

ρ  0.3119

A  478 m

and also

T  216.7  K

kg

S  110.4  K

3

m
1

From Appendix A-3

μ

b T

2

1

S

with

6

b  1.458  10

T



1

m s K

2

1

Hence

b T

2

1

S

μ 

μ  1.42  10

 5 N s

ReL 

Next we need the Reynolds number
0.455



log ReL

2

m

T

CD 





2.58

ρ V L
μ

CD  0.00196

The drag is then

1
2
FD  CD  ρ V  A
2

FD  7189 N

The power consumed is

P  FD V

P  1.598  MW

ReL  1.85  10

8

so use Eq. 9.35

V  800 

km
hr

Problem 9.82

Given:

[Difficulty: 3]

Towboat model at 1:13.5 scale to be tested in towing tank.
Lm  7.00 m

Find:

Bm  1.4 m

d m  0.2 m

Vp  10 knot

(a) Model speed in order to exhibit similar wave drag behavior
(b) Type of boundary layer on the prototype
(c) Where to place BL trips on the model
(d) Estimate skin friction drag on prototype

Solution:
Basic
equations:

1
2
FD  CD  ρ V  A
2

(Drag)
Vm

The test should be conducted to match Froude numbers:

Rep 

The Reynolds number is:

g  Lm

A  L ( B  2  d )
0.0594
ReL

Therefore

CDm 

0.0743
0.2

0.2



0.2

 2.97  10

3

Rem
For the prototype:

CDp 

g  Lp

Vm  2.72 knot

8

Rep  4.85  10

ν
5

Ret  5  10

so

xt
L



Ret
Rep

 0.00155
x t  0.0109 m

We calculate the drag coefficient from turbulent BL theory:

0.0743
ReL

Lm
Vm  Vp 
Lp

x t  0.00155  Lm

Thus the location of transition would be:

CD  1.25 Cf  1.25 

Vp

Vp  Lp

Therefore the boundary layer is turbulent. Transition occurs at

The wetted area is:



0.455

logRep

2.56

For the model: Lm  7 m

Rem 

Vm Lm
ν

 9.77  10

6

2

Am  12.6 m

1
2
and the drag force is: FDm  CDm  ρ Vm  Am
2


1610
Rep

CDp  1.7944  10

3

FDm  36.70 N
3

2

Ap  2.30  10  m

1
2
FDp  CDp  ρ Vp  Ap
2

FDp  54.5 kN

Problem 9.83

Given:

Stabilizing fin on Bonneville land speed record auto

z  1340 m

Find:

[Difficulty: 2]

V  560 

km
hr

H  0.785  m

L  1.65 m

(a) Evaluate Reynolds number of fin
(b) Estimate of location for transition in the boundary layer
(c) Power required to overcome skin friction drag

Solution:
Basic
equations:
Assumptions:
At this elevation:

1
2
FD  CD  ρ V  A
2

(Drag)

(1) Standard atmosphere (use table A.3)
T  279  K ρ  0.877  1.23

kg

 1.079

3

m
The Reynolds number on the fin is:

Assume transition occurs at:

ReL 

μ  1.79  10

3



m

m s

ρ V L

5

Ret  5  10

7

ReL  1.547  10

μ
The location for transition would then be:

From Figure 9.8, the drag coefficient is: CD  0.0029
The drag force would then be:

 5 kg

kg

The area is:

xt 

x t  53.3 mm

2

FD  98.0 N

P  FD V

If we check the drag coefficient using Eq. 9.37b:

ρ V

A  2  L H  2.591 m (both sides of the fin)

1
2
FD  CD  ρ V  A
2

The power required would then be:

Ret μ

P  15.3 kW
CD 

0.455

 

log ReL



2.58



1610
ReL

 0.0027

This is slightly less than the graph, but still reasonable agreement.

Problem 9.84

Given:

Nuclear submarine cruising submerged. Hull approximated by circular cylinder
L  107  m

Find:

[Difficulty: 4]

D  11.0 m

V  27 knot

(a) Percentage of hull length for which BL is laminar
(b) Skin friction drag on hull
(c) Power consumed

Solution:
Basic
equations:

1
2
FD  CD  ρ V  A
2
5

Transition occurs at Ret  5  10

(Drag)

so the location of transition would be:

xt
L



Ret ν

xt

V L

L

 0.0353%

We will therefore assume that the BL is completely turbulent.
The Reynolds number at x = L is:

The wetted area of the hull is:

ReL 

V L
ν

 1.42  10

9

For this Reynolds number:

CD 

3

0.455

logReL

2.58

 1.50  10

2

A  π D L  3698 m

So the drag force is:

The power consumed is:

1
2
FD  CD  ρ V  A
2
P  FD V

5

FD  5.36  10 N

P  7.45 MW

Problem 9.85

Given:

Racing shell for crew approximated by half-cylinder:
L  7.32 m

Find:

[Difficulty: 3]

D  457  mm

V  6.71

m
s

(a) Location of transition on hull
(b) Thickness of turbulent BL at the rear of the hull
(c) Skin friction drag on hull

Solution:
Basic
equations:

1
2
FD  CD  ρ V  A
2
5

Transition occurs at Ret  5  10

so the location of transition would be:

δ

For the turbulent boundary layer

x

The Reynolds number at x = L is:

The wetted area of the hull is:

A 

(Drag)



0.382
Rex

ReL 

π D
2

0.2

V L
ν

Therefore δ 

x t  0.0745 m

V

0.2

so the BL thickness is:

δ 

0.382  L
ReL

2

 L  5.2547 m

So the drag force is:

7

Ret ν

0.382  L
ReL

 4.91  10

xt 

For this Reynolds number:

1
2
FD  CD  ρ V  A
2

Note that the rowers must produce an average power of

CD 

δ  0.0810 m

0.2

3

0.455

logReL

2.58

 2.36  10

FD  278 N

P  FD V  1.868  kW to move the shell at this speed.

Problem 9.86

Given:

Plastic sheet falling in water

Find:

Terminal speed both ways

[Difficulty: 3]

Solution:
Basic
equations:

ΣFy  0

FD

CD 

for terminal
speed

1
2

h  0.5 in

W  4  ft

L  2  ft

SG  1.7

2

 ρ V  A

CD 

0.0742

(9.34) (assuming 5 x 105 < ReL < 107)

1

ReL

5

From Table A.8 at 70 oF ν  1.06  10

 5 ft



A  W L

2

ρ  1.94

s

slug
ft

3

A free body diagram of the sheet is shown here. Summing the forces in the vertical (y) direction:
FD  Fb  Wsheet  0

FD  Wsheet  Fb  ρ g  h  A ( SG  1 )

Fb

Also, we can generate an expression for the drag coefficient in terms of the geometry of the sheet
and the water properties:

FD

y

V
x

4

1

9

W sheet

1
0.0742
1
0.0742
2
2
2
5 5
5
FD  2  CD A  ρ V  2 
 A  ρ V 
 W L ρ V  0.0742 W L  ν  ρ V
1
2
2
1
ReL

5

 V L 
 ν 



(Note that we double FD because drag
acts on both sides of the sheet.)

5

5
9



Hence

ρH2O g  h  W ( SG  1 )  0.0742 W L

Check the Reynolds number

Repeating for

ReL 

ReL 

5

1

9

5

5

 ν  ρ V

Solving for V

V L
ν

L  4  ft

Check the Reynolds number

1

V L
ν

5
1


 g h  ( SG  1)  L  5
V  
  
 0.0742
ν 

1


 g h  ( SG  1)  L  5
ft
V  
    V  15.79 
s
 0.0742
ν 

ReL  2.98  10

6

Hence Eq. 9.34 is reasonable

6

Eq. 9.34 is still reasonable

9

V  17.06 

ft
s

ReL  6.44  10

The short side vertical orientation falls more slowly because the largest friction is at the region of the leading edge (τ tails
off as the boundary layer progresses); its leading edge area is larger. Note that neither orientation is likely - the plate will
flip around in a chaotic manner.

Problem 9.87

Given:

[Difficulty: 4]

600-seat jet transport to operate 14 hr/day, 6 day/wk
L  240  ft D  25 ft

Find:

V  575  mph z  12 km

TSFC  0.6

lbm
hr lbf

(a) Skin friction drag on fuselage at cruise
(b) Annual fuel savings if drag is reduced by 1%

Solution:
Basic
equations:

1
2
FD  CD  ρ V  A
2

(Drag)

T  216.7  K  390.1  R ρ  0.2546  0.002377

From the atmosphere model:

slug
ft

From the Sutherland model for viscosity: μ 

b T
1

ReL 

ρ V L
μ

 4.1247  10

8

S

 5 kg

 1.422  10



ft

3

So the Reynolds number is

CD 

4

A  π D L  1.885  10  ft

3

0.455

logReL

2.58

 1.76  10

2

So the drag force is:

If there were a 1% savings in drag, the drop in drag force would be:

The savings in fuel would be:

 4 slug

 6.0518  10

T

For this Reynolds number:

The wetted area of the fuselage is:

m s

3

hr
Δmfuel  TSFC ΔFD  14

day

1
2
3
FD  CD  ρ V  A FD  7.13  10  lbf
2

ΔFD  1  % FD  71.31  lbf

 6  52  day
7
 yr



4 lbm
Δmfuel  2.670  10 
yr

If jet fuel costs $1 per gallon, this would mean
a savings of over $4,400 per aircraft per year.

Problem 9.88

Given:

[Difficulty: 4]

Supertanker in seawater at 40oF
L  1000 ft B  270  ft D  80 ft
ν  1.05  1.65  10

Find:

 5 ft



V  15 knot  25.32 

2

s

 5 ft

 1.73  10



2

ρ  1.9888

s

(a) Thickness of the boundary layer at the stern of the ship
(b) Skin friction drag on the ship
(b) Power required to overcome the drag force

ft

SG  1.025

s

slug
ft

3

Solution:
Basic
equations:

1
2
FD  CD  ρ V  A
2

The Reynolds number is
δ
x



0.382
Rex

ReL 

V L

At the stern of the ship:

0.20

ν

(Drag)
9

 1.4613  10 So the BL is turbulent. The BL thickness is calculated using:
δ  L

0.382
ReL

The wetted area of the hull is:

δ  5.61 ft

0.20

5

2

A  L ( B  2  D)  4.30  10  ft For this Reynolds number: CD 

So the drag force is:

1
2
FD  CD  ρ V  A
2

The power consumed to overcome the skin friction drag is:

3

0.455

logReL

2.58

 1.50  10

5

FD  4.11  10  lbf
P  FD V

4

P  1.891  10  hp
7 ft lbf

P  1.040  10 

s

Problem 9.89

Given:

"Resistance" data on a ship
Lp  130  m
Lm 

Find:

[Difficulty: 4]

Lp
80

 1.625 m

ρ  1023

2

Ap  1800 m
Am 

Ap
80

2

kg
3

 3 N s

μ  1.08  10

m



2

m

2

 0.281 m

Plot of wave, viscous and total drag (prototype and model); power required by prototype

Solution:

Basic
equations:

CD 

FD
1
2

From Eq. 9.32

(9.32)

2

Fr 

U
gL

 ρ U  A

1
2
FD  CD A  ρ U
2

This applies to each component of the drag (wave and viscous) as well as to the total
The power consumed is

P  FD U

From the Froude number

U  Fr  gL

1
3
P  CD A  ρ U
2

The solution technique is: For each speed Fr value from the graph, compute U; compute the drag from
the corresponding "resistance" value from the graph. The results were generated in Excel and are shown
below:

Model
Fr

Wave
"Resistance"

Viscous
"Resistance"

0.10
0.20
0.30
0.35
0.40
0.45
0.50
0.60

0.00050
0.00075
0.00120
0.00150
0.00200
0.00300
0.00350
0.00320

0.0052
0.0045
0.0040
0.0038
0.0038
0.0036
0.0035
0.0035

Total
Wave
U (m/s)
Drag (N)
"Resistance"
0.0057
0.0053
0.0052
0.0053
0.0058
0.0066
0.0070
0.0067

0.40
0.80
1.20
1.40
1.60
1.80
2.00
2.40

0.0057
0.0344
0.1238
0.2107
0.3669
0.6966
1.0033
1.3209

Viscous
Drag (N)
0.0596
0.2064
0.4128
0.5337
0.6971
0.8359
1.0033
1.4447

Total
Power (W)
Drag (N)
0.0654
0.2408
0.5366
0.7444
1.0640
1.5324
2.0065
2.7656

Drag on a Model Ship
3.0
2.5

Total
Wave
Viscous

2.0
F (N)

1.5
1.0
0.5
0.0
0.0

0.5

1.0

1.5

2.0
U (m/s)

2.5

3.0

2.5

3.0

Power Requirements for a Model Ship
7.0
6.0
5.0
P (W)

4.0
3.0
2.0
1.0
0.0
0.0

0.5

1.0

1.5

2.0
U (m/s)

0.0261
0.1923
0.6427
1.0403
1.6993
2.7533
4.0057
6.6252

Prototype
Fr

Wave
"Resistance"

Viscous
"Resistance"

0.10
0.20
0.30
0.35
0.40
0.45
0.50
0.60

0.00050
0.00075
0.00120
0.00150
0.00200
0.00300
0.00350
0.00320

0.0017
0.0016
0.0015
0.0015
0.0013
0.0013
0.0013
0.0013

Total
U (m/s)
"Resistance"
0.0022
0.0024
0.0027
0.0030
0.0033
0.0043
0.0048
0.0045

3.6
7.1
10.7
12.5
14.3
16.1
17.9
21.4

Wave
Drag
(MN)
0.0029
0.0176
0.0634
0.1079
0.1879
0.3566
0.5137
0.6763

Viscous
Drag (MN)
0.0100
0.0376
0.0793
0.1079
0.1221
0.1545
0.1908
0.2747

Total
Drag
(MN)
0.0129
0.0552
0.1427
0.2157
0.3100
0.5112
0.7045
0.9510

Drag on a Prototype Ship
1.0

F (MN)

0.8

Total

0.6

Wave
Viscous

0.4
0.2
0.0
0

5

10

15
U (m/s)

20

25

Power Required by a Prototype Ship
25000
20000
P (kW)

15000
10000
5000
0
0

5

10

15
U (m/s)

20

For the prototype wave resistance is a much more significant factor at high speeds! However, note that for
both scales, the primary source of drag changes with speed. At low speeds, viscous effects dominate, and so
the primary source of drag is viscous drag. At higher speeds, inertial effects dominate, and so the wave drag
is the primary source of drag.

25

Power
(kW)

Power
(hp)

46.1
394.1
1528.3
2696.6
4427.7
8214.7
12578.7
20377.5

61.8
528.5
2049.5
3616.1
5937.6
11015.9
16868.1
27326.3

Problem 9.90

Given:

Flag mounted vertically
H  194  ft W  367  ft

Find:

[Difficulty: 2]

V  10 mph  14.67 

ft
s

ρ  0.00234 

slug
ft

3

ν  1.62  10

 4 ft



2

s

Force acting on the flag. Was failure a surprise?

Solution:
Basic
equations:

1
2
FD  CD  ρ V  A
2

(Drag)

We should check the Reynolds number to be sure that the data of Fig. 9.10 are applicable:

ReW 

V W
ν

 3.32  10

7

(We used W as our length scale here since it is the lesser of the two dimensions of the flag.) Since the Reynolds number is less than
1000, we may use Figure 9.10 to find the drag coefficient.
4

The area of the flag is: A  H W  7.12  10  ft

So the drag force is:

2

AR 

W
H

 1.89

1
2
FD  CD  ρ V  A
2

From Fig. 9.10: CD  1.15
4

FD  2.06  10  lbf
This is a large force.
Failure should have
been expected.

Problem 9.91

Given:

Fishing net

Find:

Drag; Power to maintain motion

[Difficulty: 3]

3
8

 in  9.525  mm

Solution:
Basic equations:

CD 

FD
1

2

 ρ V  A

2
We convert the net into an equivalent cylinder (we assume each segment does not interfere with its neighbors)
L  12 m

W  2 m

d  0.75 mm Spacing: D  1  cm

Total number of threads of length L is

Total number of threads of length W is
Total length of thread

n1 

W

n2 

L

LT  L1  L2

ρ  999 

D

3

Red 

V d
ν

s

L1  n 1  L

L1  2400 m

n 2  1200

Total length

L2  n 2  W

L2  2400 m

LT  4800 m

LT  2.98 mile A lot!
2

Note that L W  24.00  m

ν  1.01  10

2
6 m

m
The Reynolds number is

m

Total length

A  3.60 m

kg

V  3.09

n 1  200

2

The frontal area is then A  LT d
From Table A.8

D

V  6  knot



s

Red  2292

For a cylinder in a crossflow at this Reynolds number, from Fig. 9.13, approximately
Hence

1
2
FD  CD  ρ V  A
2

FD  13.71  kN

The power required is

P  FD V

P  42.3 kW

CD  0.8

Problem 9.92

Given:

[Difficulty: 2]

Rotary mixer rotated in a brine solution
R  0.6 m

ω  60 rpm

d  100  mm SG  1.1

ρ  ρw SG

ρ  1100

kg
3

m
ν  1.05  1.55  10

Find:

2
6 m



s

2
6 m

 1.63  10



s

(a) Torque on mixer
(b) Horsepower required to drive mixer

Solution:
Basic
equations:

1
2
FD  CD  ρ V  A
2

(Drag)

T  2  R FD

(Torque)

P  T ω

(Power)

Assumptions: Drag on rods and motion induced in the brine can be neglected.
The speed of the disks through the brine is:
The area of one disk is:

A 

π
4

2

V  R ω  3.77

m
s

From Table 9.2: CD  1.17 for a disk.

2

 d  0.00785  m

So the drag force is:

1
2
FD  CD  ρ V  A  71.8 N
2

and the torque is: T  2  R FD

The power consumed to run the mixer is:

P  T ω  542 W

T  86.2 N m
P  0.726  hp

Problem 9.93

Given:

Data on a rotary mixer

Find:

New design dimensions

[Difficulty: 3]

Solution:
The given data or available data is
R  0.6 m

P  350  W

ω  60 rpm

ρ  1099

kg
3

m
For a ring, from Table 9.3

CD  1.2

The torque at the specified power and speed is
T 

P

T  55.7 N m

ω

The drag on each ring is then

1 T
FD  
2 R

FD  46.4 N

The linear velocity of each ring is

V  R ω

V  3.77

m
s

The drag and velocity of each ring are related using the definition of drag coefficient
FD

CD 

1
2

Solving for the ring area

A 

FD
1
2

But

A

2

 ρ A V

π
4

3

A  4.95  10

2

 ρ V  CD

  do  di

2

The outer diameter is

d o  125  mm

Hence the inner diameter is

di 

2

do 

2

4 A
π



d i  96.5 mm

2

m

Problem 9.94

Given:

Man with parachute
W = 250 ⋅ lbf V = 20⋅

Find:

[Difficulty: 2]

ft

ρ = 0.00234 ⋅

s

slug
ft

3

Minimum diameter of parachute
FD

Solution:
Basic
equations:

1
2
FD = CD⋅ ⋅ ρ⋅ V ⋅ A
2

(Drag)

Assumptions: (1) Standard air

x

(2) Parachute behaves as open hemisphere
(3) Vertical speed is constant
For constant speed:

ΣFy = M ⋅ g − FD = 0

In terms of the drag coefficient:

Solving for the area:

A=

1

2⋅ W
2

π
4

FD = W

W

2

CD⋅ ⋅ ρ⋅ V ⋅ A = W
2

CD⋅ ρ⋅ V
Setting both areas equal:

Therefore:

V

y

2

⋅D =

From Table 9.2: CD = 1.42 for an open hemisphere.
2⋅ W

Solving for the diameter of the parachute:
2

CD⋅ ρ⋅ V

The area is:

D =

8
π

⋅

A=

π
4

2

⋅D

W
2

CD⋅ ρ⋅ V

Therefore the diameter is:

D = 21.9⋅ ft

Problem 9.95

Given:

Data on airplane landing
M  9500 kg

Find:

[Difficulty: 3]

km
Vi  350 
hr

km
Vf  100 
hr

x f  1200 m CD  1.43 (Table 9.3)

Solution:
1
2
FD  CD  ρ V  A
2

(Drag)

Assumptions: (1) Standard air
(2) Parachute behaves as open hemisphere
(3) Vertical speed is constant
Newton's second law for the aircraft is

M

dV

1
2
 CD  ρ A V
2

dt

where A and CD are the single parachute area and drag coefficient
Separating variables

dV
2



V
Integrating, with IC V = Vi

CD ρ A
2 M

1

Integrating again with respect to t

x ( t) 

Eliminating t from Eqs. 1 and 2

x

 dt

Vi

V( t) 

CD ρ A
2 M

2 M
CD ρ A

(1)
 Vi t



CD ρ A



2 M

 ln 1 




 Vi t

 Vi 

CD ρ A  V 
2 M

 ln

(2)

(3)

To find the minimum parachute area we must solve Eq 3 for A with x = xf when V = Vf
A

2 M
CD ρ x f

 Vi 

 Vf 

 ln

(4)

For three parachutes, the analysis is the same except A is replaced with 3A, leading to
A

2 M
3  CD ρ x f

 Vi 

 Vf 

 ln

kg
3

m

Single and three-parachute sizes; plot speed against distance and time; maximum "g''s

Basic
equations:

ρ  1.23

(5)

dV

The "g"'s are given by

2

dt

CD ρ A V



g

which has a maximum at the initial instant (V = Vi)

2 M g

The results generated in Excel are shown below:
Single:
A =
D =

Triple:
11.4 m
3.80 m

2

A = 3.8 m2
D = 2.20 m

"g "'s = -1.01 Max
t (s) x (m) V (km/hr)
0.00
2.50
5.00
7.50
10.0
12.5
15.0
17.5
20.0
22.5
24.6

0.0
216.6
393.2
542.2
671.1
784.7
886.3
978.1
1061.9
1138.9
1200.0

350
279
232
199
174
154
139
126
116
107
100
Aircraft Velocity versus Time

350
300
250
V (km/hr)

200
150
100
50
0
0

5

10

15
t (s)

20

25

Aircraft Velocity versus Distance
350
300
250
V (km/hr) 200
150
100
50
0
0

200

400

600

800
x (m)

1000

1200

Problem 9.96

[Difficulty: 3]

Given:

Data on airplane and parachute

Find:

Time and distance to slow down; plot speed against distance and time; maximum "g"'s

Solution:
The given data or available data is
M  8500 kg

km
Vi  400 
hr

km
Vf  100 
hr

π
2
2
Asingle   Dsingle  28.274 m
4
Newton's second law for the aircraft is

CD  1.42

ρ  1.23

kg
3

Dsingle  6  m

Dtriple  3.75 m

m

π
2
2
Atriple   Dtriple  11.045 m
4
M

dV

1
2
 CD  ρ A V
dt
2

where A and C D are the single parachute area and drag coefficient
Separating variables

dV
2



V
Integrating, with IC V = Vi

CD ρ A
2 M

Vi

V( t) 
1

Integrating again with respect to t

x ( t) 

Eliminating t from Eqs. 1 and 2

x

 dt

CD ρ A
2 M

2 M
CD ρ A

(1)
 Vi t



CD ρ A



2 M

 ln 1 




 Vi t

 Vi 

CD ρ A  V 
2 M

 ln

(2)

(3)

To find the time and distance to slow down to 100 km/hr, Eqs. 1 and 3 are solved with V = 100
km/hr (or use Goal Seek)
dV

The "g"'s are given by

dt

g

2



CD ρ A V
2 M g

which has a maximum at the initial instant (V = Vi)

For three parachutes, the analysis is the same except A is replaced with 3A. leading to
Vi

V( t) 
1
x ( t) 

3  CD ρ A
2 M

2 M
3  CD ρ A

 Vi t



3  CD ρ A



2 M

 ln 1 




 Vi t

The results generated in Excel are shown here:
t (s) x (m) V (km/hr)

t (s) x (m) V (km/hr)

0.0 0.0
1.0 96.3
2.0 171
3.0 233
4.0 285
5.0 331
6.0 371
7.0 407
8.0 439
9.0 469
9.29 477

0.0 0.0
1.0 94.2
2.0 165
3.0 223
4.0 271
5.0 312
6.0 348
7.0 380
7.93 407
9.0 436
9.3 443

400
302
243
203
175
153
136
123
112
102
100

400
290
228
187
159
138
122
110
100
91
89

"g "'s = -3.66 Max

Aircraft Velocity versus Time
400
350

One Parachute
Three Parachutes

300
V (km/hr)

250
200
150
100
50
0
0

1

2

3

4

5

6
t (s)

7

8

9

10

450

500

Aircraft Velocity versus Distance
400
350

V (km/hr)

300

One Parachute

250

Three Parachutes

200
150
100
50
0
0

50

100

150

200

250

300
350
x (m)

400

Problem 9.97

Given:

Windmills are to be made from surplus 55 gallon oil drums
D  24 in

Find:

[Difficulty: 2]

H  29 in

Which configuration would be better, why, and by how much

Solution:
Basic
equations:

1
2
FD  CD  ρ V  A
2

(Drag)

Assumptions: (1) Standard air
(2) Neglect friction in the pivot
(3) Neglect interference between the flow over the two halves
For the first configuration:
ΣM 

D

ΣM 

D

2

 Fu 

D
2

 Fd 

D
2



 Fu  Fd



Where Fu is the force on the half "catching" the wind and F d is the
force on the half "spilling" the wind.

1
1
1
D
2
2
2
  CDu  ρ V  A  CDd  ρ V  A   CDu  CDd    ρ V  A
2 
2
2
 2
2






For the second configuration:
ΣM 

H

ΣM 

H

2

 Fu 

H
2

 Fd 

H
2



 Fu  Fd



1
1
1
H
2
2
2
  CDu  ρ V  A  CDd  ρ V  A   CDu  CDd    ρ V  A
2 
2
2
 2
2






Since H > D, the second
configuration will be superior.
The improvement will be:

H D
D

 20.8 %

Problem 9.98

Given:

Bike and rider at terminal speed on hill with 8% grade.
W  210  lbf A  5  ft

Find:

[Difficulty: 2]

ft
Vt  50
s

2

CD  1.25

(a) Verify drag coefficient
(b) Estimate distance needed for bike and rider to decelerate to 10 m/s after reaching level road

Solution:
Basic
equations:

1
2
FD  CD  ρ V  A
2

(Drag)

Assumptions: (1) Standard air
(2) Neglect all losses other than aerodynamic drag
θ  atan( 9  %)  5.143  deg Summing forces in the x-direction: ΣFx  FG  FD  0
1
2
Expanding out both force terms: M  g  sin( θ)  CD  ρ Vt  A Solving this expression for the drag coefficient:
2
The angle of incline is:

CD 

2  W sin( θ)

CD  1.26

2

ρ Vt  A

The original estimate for the
drag coefficient was good.
W d  W d 
Once on the flat surface: ΣFx  FD 
  V 
 V  V  Therefore:
g  dt 
g
 ds 

Separating variables:

ds  

2 W



dV

CD ρ g  A V

W
g

Integrating both sides yields:

 d V  C  1  ρ V2 A

D 2
 ds 

 V 

∆s  

 V2 

CD ρ g  A
 V1 
2 W

 ln

∆s  447  ft

Problem 9.99

Given:

Data on cyclist performance on a calm day

Find:

Performance hindered and aided by wind

[Difficulty: 2]

Solution:
The given data or available data is
FR  7.5 N

M  65 kg

CD  1.2

ρ  1.23

2

A  0.25 m

kg

V  30

3

m
The governing equation is

1
2
FD   ρ A V  CD
2

km
hr

FD  12.8 N

The power steady power generated by the cyclist is



Now, with a headwind we have



P  FD  FR  V

P  169 W

km
Vw  10
hr

V  24

km
hr

The aerodynamic drag is greater because of the greater effective wind speed





1
2
FD   ρ A V  Vw  CD
2

FD  16.5 N

The power required is that needed to overcome the total force FD + FR, moving at the cyclist's speed



P  V FD  FR



P  160 W

This is less than the power she can generate

She wins the bet!

With the wind supporting her the effective wind speed is substantially lower
km
VW  10
hr

V  40





1
2
FD   ρ A V  VW  CD
2

km
hr

FD  12.8 N

The power required is that needed to overcome the total force FD + FR, moving at the cyclist's speed



P  V FD  FR
This is more than the power she can generate



P  226 W
She loses the bet

P  0.227  hp

Problem 9.100

Given:

[Difficulty: 2]

Ballistic data for .44 magnum revolver bullet
m
m
Vi  250 
Vf  210 
∆x  150  m M  15.6 gm D  11.2 mm
s
s

Average drag coefficient
Find:
Solution:
Basic
1
2
FD  CD  ρ V  A
equations:
2

(Drag)

Assumptions: (1) Standard air
(2) Neglect all losses other than aerodynamic drag
Newton's 2nd law:

Separating variables:

1
2
d 
d 
d 
ΣFx  FD  M   V   M  V  V  Therefore: M  V  V   CD  ρ V  A
2
t
s
x
d
d
d
 
 



dx  

2 M



dV

CD ρ A V

Solving this expression for the drag coefficient:

Integrating both sides yields:

CD  

 Vf 

∆x ρ A
 Vi 
2 M

 ln

∆x  

 Vf 

CD ρ A
 Vi 
2 M

The area is:

 ln

A 

π
4

2

2

 D  98.52  mm

Therefore the drag coefficent is:

CD  0.299

Problem 9.101

Given:

Data on cyclist performance on a calm day

Find:

Performance on a hill with and without wind

[Difficulty: 3]

Solution:
The given data or available
data is
FR  7.5 N
CD  1.2

2

M  65 kg

A  0.25 m

kg

ρ  1.23

V  30

3

m
The governing equation is

1
2
FD   ρ A V  CD
2

Power steady power generated by the cyclist is

P  FD  FR  V

Riding up the hill (no wind)

θ  5  deg



km
hr

FD  12.8 N



P  169 W

P  0.227  hp

For steady speed the cyclist's power is consumed by working against the net force (rolling resistance, drag, and gravity)
Cycling up the
hill:

1
2
P   FR   ρ A V  CD  M  g  sin( θ)   V
2



This is a cubic equation for the speed which can be solved analytically, or by iteration, or using Excel's
Goal Seek or Solver. The solution is obtained from the associated Excel workbook
V  9.47

From Solver
Now, with a headwind we have

km
hr
km

Vw  10
hr

The aerodynamic drag is greater because of the greater effective wind speed





1
2
FD   ρ A V  Vw  CD
2
The power required is that needed to overcome the total force (rolling resistance, drag, and gravity) moving at the cyclist's speed is
Uphill against the wind:

1
2
P  FR   ρ A V  Vw  CD  M  g  sin( θ)  V
2





This is again a cubic equation for V
From Solver

V  8.94

km
hr



Pedalling downhill (no wind) gravity helps increase the speed; the maximum speed is obtained from
Cycling down the hill:

1
2
P   FR   ρ A V  CD  M  g  sin( θ)   V
2



This cubic equation for V is solved in the associated Excel workbook
V  63.6

From Solver

km
hr

Pedalling downhill (wind assisted) gravity helps increase the speed; the maximum speed is obtained from
Wind-assisted downhill:

1
2
P  FR   ρ A V  Vw  CD  M  g  sin( θ)  V
2







This cubic equation for V is solved in the associated Excel workbook
V  73.0

From Solver

km
hr

Freewheeling downhill, the maximum speed is obtained from the fact that the net force is zero
Freewheeling downhill:

1
2
FR   ρ A V  CD  M  g  sin( θ)  0
2
V 

M  g  sin( θ)  FR
1
2

Wind assisted:

V  58.1

km

V  68.1

km

 ρ A CD



hr



1
2
FR   ρ A V  Vw  CD  M  g  sin( θ)  0
2
V  Vw 

M  g  sin( θ)  FR
1
2

 ρ A CD

hr

Problem 9.102

[Difficulty: 3]

Given:

Data on cyclist performance on a calm day

Find:

Performance hindered and aided by wind; repeat with high-tech tires; with fairing

Solution:
The given data or available data is
FR  7.5 N

M  65 kg

CD  1.2

ρ  1.23

2

A  0.25 m

kg

V  30

3

m
The governing equation is

1
2
FD   ρ A V  CD
2

Power steady power generated by the cyclist is

P  FD  FR  V

Now, with a headwind we have

km
Vw  10
hr



km
hr

FD  12.8 N



P  169 W

The aerodynamic drag is greater because of the greater effective wind speed





1
2
FD   ρ A V  Vw  CD
2

(1)

The power required is that needed to overcome the total force FD + FR, moving at the cyclist's speed is



P  V FD  FR



(2)

Combining Eqs 1 and 2 we obtain an expression for the cyclist's maximum speed V cycling into a
headwind (where P = 169 W is the cyclist's power)
Cycling into the wind:

1
2
P  FR   ρ A V  Vw  CD  V
2







(3)

This is a cubic equation for V; it can be solved analytically, or by iterating. It is convenient to use Excel's
Goal Seek (or Solver). From the associated Excel workbook
V  24.7

From Solver

km
hr

By a similar reasoning:
Cycling with the wind:

1
2
P  FR   ρ A V  Vw  CD  V
2







(4)

P  0.227  hp

V  35.8

From Solver

km
hr

With improved tires

FR  3.5 N

Maximum speed on a calm day is obtained from

1
2
P   FR   ρ A V  CD  V
2



This is a again a cubic equation for V; it can be solved analytically, or by iterating. It is convenient to use
Excel's Goal Seek (or Solver). From the associated Excel workbook
V  32.6

From Solver

km
hr

Equations 3 and 4 are repeated for the case of improved tires
From Solver

Against the wind

V  26.8

km

V  29.8

km

With the wind

hr

V  39.1

km

V  42.1

km

hr

For improved tires and fairing, from Solver
V  35.7

km
hr

Against the wind

hr

With the wind

hr

Problem 9.103

[Difficulty: 3]

FBnet

V

FD
y
x


T

Given:

Series of party balloons

Find:

Wind velocity profile; Plot

Wlatex

Solution:
Basic equations:

CD 

FD
1

FB  ρair g  Vol

2

 ρ V  A
2
The above figure applies to each balloon
For the horizontal forces FD  T sin( θ)  0

T cos( θ)  FBnet  Wlatex  0

Here

π D
FBnet  FB  W  ρair  ρHe  g 
6



(2)
3



D  20 cm

M latex  3  gm

RHe  2077
Rair  287 

N m

p He  111  kPa

kg K

N m

p air  101  kPa

kg K





Applying Eqs 1 and 2 to the top balloon, for which

Wlatex  0.02942  N

p He
kg
THe  293  K ρHe 
ρHe  0.1824
RHe THe
3
m
p air
kg
Tair  293  K ρair 
ρair  1.201 
Rair Tair
3
m
FBnet  0.0418 N

θ  65 deg

FBnet  Wlatex
cos( θ)



Wlatex  M latex g

3

π D

FBnet  ρair  ρHe  g 
6

FD  T sin( θ) 

This problem is ideal for computing and
plotting in Excel, but we will go through
the details here.

(1)

For the vertical forces

We have (Table A.6)


ΣF  0

 sin( θ)



Hence

FD  FBnet  Wlatex  tan( θ)

FD  0.0266 N

But we have

1
1
2
2 π D
FD  CD  ρair V  A  CD  ρair V 
2
2
4

2

V 

8  FD
2

CD ρair π D
From Table A.9

ν  1.50  10

2
5 m



s

V  1.88

CD  0.4

with

from Fig. 9.11 (we will
check Re later)

m
s

The Reynolds number is Red 

V D
ν

4

Red  2.51  10

We are okay!

For the next balloon



θ  60 deg
8  FD

V 

2

V  1.69

CD ρair π D
The Reynolds number is Red 
For the next balloon

V D



2

V  1.40

CD ρair π D
The Reynolds number is Red 
For the next balloon

V D



2

V  1.28

CD ρair π D
The Reynolds number is Red 
For the next balloon

V D

2

CD ρair π D
The Reynolds number is Red 
For the next balloon

V D

2

CD ρair π D
The Reynolds number is Red 
For the next balloon

V D

2

CD ρair π D
The Reynolds number is Red 
For the next balloon

V D

V  0.77

CD ρair π D
The Reynolds number is Red 
For the next balloon

V D
ν

θ  10 deg

CD  0.4

We are okay!



FD  0.00452 N

with

CD  0.4

with

CD  0.4

m
s
4

Red  1.03  10



with

s



2

FD  0.00717 N

m

FD  FBnet  Wlatex  tan( θ)
8  FD

V 



4

θ  20 deg

CD  0.4

We are okay!

Red  1.30  10

ν

with

s



V  0.97

FD  0.00870 N

m

FD  FBnet  Wlatex  tan( θ)
8  FD

V 



4

θ  30 deg

CD  0.4

We are okay!

Red  1.43  10

ν

with

s



V  1.07

FD  0.01043 N

m

FD  FBnet  Wlatex  tan( θ)
8  FD

V 



4

θ  35 deg

CD  0.4

We are okay!

Red  1.57  10

ν

with

s



V  1.18

FD  0.01243 N

m

FD  FBnet  Wlatex  tan( θ)
8  FD

V 



4

θ  40 deg

CD  0.4

We are okay!

Red  1.71  10

ν

with

s

FD  FBnet  Wlatex  tan( θ)
8  FD

FD  0.01481 N

m

4

θ  45 deg
V 



Red  1.87  10

ν

CD  0.4

We are okay!

FD  FBnet  Wlatex  tan( θ)
8  FD

with

s
4

θ  50 deg

FD  0.0215 N

m

Red  2.25  10

ν

V 



FD  FBnet  Wlatex  tan( θ)

We are okay!



FD  FBnet  Wlatex  tan( θ)

FD  0.002191 N

8  FD

V 

2

V  0.54

CD ρair π D
The Reynolds number is Red 

V D

m
s

Red  7184.21

ν

We are okay!

V  ( 0.54 0.77 0.97 1.07 1.18 1.28 1.40 1.69 1.88 ) 

In summary we have

m
s

h  ( 1 2 3 4 5 6 7 8 9 )m

10

h (m)

8
6
4
2
0

0.5

1

1.5

2

V (m/s)
This does not seem like an unreasonable profile for the lowest portion of an atmospheric boundary layer - over cities or rough terrain
the atmospheric boundary layer is typically 300-400 meters, so a near-linear profile over a small fraction of that distance is not out of
the question.

Problem 9.104

[Difficulty: 2]

FB

V

FD

y



T

W

x

Given:

Sphere dragged through river

Find:

Relative velocity of sphere

Solution:
CD 

Basic
equations:

FD
1

FB  ρ g  Vol

2

 ρ V  A


ΣF  0

2
The above figure applies to the sphere

For the horizontal forces FD  T sin( θ)  0
For the vertical forces
Here

V  5

m
s

(1)

T cos( θ)  FB  W  0
D  0.5 m

The Reynolds number is Red 

(2)

SG  0.30

V D

6

Red  1.92  10

ν

and from Table A.8 ν  1.30  10

2
6 m



s

ρ  1000

kg
3

m

Therefore we estimate the drag coefficient: CD  0.15 (Fig 9.11)

FB  W
FD  T sin( θ) 
 sin( θ)  ρ g  Vol  ( 1  SG )  tan( θ)
cos( θ)
3

Hence

Therefore

π D

FD  ρ g 
6
1

 ( 1  SG )  tan( θ)

2
2 π D

CD  ρ V 
2
4

But we have

1

2

1

2
2 π D

FD  CD  ρ V  A  CD  ρ V 
2
2
4

3

 ρ g 

π D
6

 ( 1  SG)  tan( θ)

2

Solving for θ:

tan( θ) 

3

CD V


4 g  D ( 1  SG )

2

CD V

3
θ  atan 

 4 g  D ( 1  SG)

The angle with the horizontal is:

α  90 deg  θ

α  50.7 deg

Problem 9.105

[Difficulty: 2]

Problem 9.106

Given:

Data on dimensions of anemometer

Find:

Calibration constant; compare to actual with friction

[Difficulty: 3]

Solution:
The given data or available data is

D  2  in

R  3  in

ρ  0.00234 

slug
ft

3

The drag coefficients for a cup with open end facing the airflow and a cup with open end facing downstream are, respectively,
from Table 9.3
CDopen  1.42
CDnotopen  0.38
1
2
The equation for computing drag is FD   ρ A V  CD
2

(1)

2

A 

where

π D

A  0.0218 ft

4

2

Assuming steady speed ω at steady wind speed V the sum of moments will be zero. The two cups that are momentarily parallel
to the flow will exert no moment; the two cups with open end facing and not facing the flow will exert a moment beacuse of their
drag forces. For each, the drag is based on Eq. 1 (with the relative velocity used!). In addition, friction of the anemometer is
neglected
1
1
2
2
ΣM  0    ρ A ( V  R ω)  CDopen  R    ρ A ( V  R ω)  CDnotopen  R
2
2



or

2







2

( V  R ω)  CDopen  ( V  R ω)  CDnotopen

This indicates that the anemometer reaches a steady speed even in the abscence of friction because it is the
relative velocity on each cup that matters: the cup that has a higher drag coefficient has a lower relative
velocity
Rearranging for

k

V
ω

2

 V  R  C
ω
 Dopen 



2

 V  R  C

 Dnotopen
ω


Hence

CDnotopen 


1

CDopen 
 R
k 
CDnotopen 


1

CDopen 


k  9.43 in

k  0.0561

mph
rpm

For the actual anemometer (with friction), we first need to determine the torque produced when the anemometer is
stationary but about to rotate
Minimum wind for rotation is

Vmin  0.5 mph

The torque produced at this wind speed is
Tf 

2
1

 2  ρ A Vmin  CDopen  R 



Tf  3.57  10

 1  ρ A V 2 C

2
min Dnotopen   R



6

 ft lbf

A moment balance at wind speed V, including this friction, is
ΣM  0 

or

 1  ρ A ( V  R ω) 2 C

2
Dopen  R 



 1  ρ A ( V  R ω) 2 C

2
Dnotopen  R  Tf



2  Tf
2
2
( V  R ω)  CDopen  ( V  R ω)  CDnotopen 
R ρ A

This quadratic equation is to be solved for ω when

V  20 mph

After considerable calculations

ω  356.20 rpm

This must be compared to the rotation for a frictionless model, given by
V
ωfrictionless 
k

The error in neglecting friction is

ωfrictionless  356.44 rpm
ω  ωfrictionless
ω

 0.07 %

Problem 9.107

Given:

Circular disk in wind

Find:

Mass of disk; Plot α versus V

[Difficulty: 2]

Solution:
CD 

Basic
equations:


ΣM  0

FD
1
2

2

 ρ V  A

Summing moments at the pivotW L sin( α)  Fn  L  0
1

M  g  sin( α) 

Hence

ρ  1.225 

The data is

2

2
2 π D

 ρ ( V cos( α) ) 

kg
2

V

Rearranging

4

V  15

3

m
M 

1
2
Fn   ρ Vn  A CD
2

and

2

 CD

m

D  25 mm

s

M  0.0451 kg

8  g  sin( α)


2

π ρ D  CD

CD  1.17

2

π ρ V  cos( α)  D  CD
8 M g

α  10 deg

tan( α)

V  35.5

cos( α)

m
s



tan( α)
cos( α)

We can plot this by choosing α and computing V
80

V (m/s)

60

40

20

0

10

20

30

40

Angle (deg)
This graph can be easily plotted in Excel

50

60

70

(Table 9.3)

Problem 9.108

[Difficulty: 2]

Given:

Mass, maximum and minimum drag areas for a skydiver

Find:

(a) Terminal speeds for skydiver in each position
(b) Time and distance needed to reach percentage of terminal speed from given altitude

Solution:
CD 

Basic equation

FD
1
2

2

 ρ U  A

W  170  lbf ACDmin  1.2 ft

The given or available data are:

ρ

From Table A.3 we can find the density:

ρSL

 0.7433

Ut 

2 W
ρ A CD

ACDmax  9.1 ft

ρ  0.002377

slug
ft

To find terminal speed, we take FBD of the skydiver: ΣFy  0
Solving for the speed:

2

3

2

H  9800 ft  2987 m
 3 slug

 0.7433  1.767  10



ft

M  g  FD  0

For the minimum drag area:

Utmax 

For the maximum drag area:

Utmin 

3

1
2
FD   ρ U  A CD  M  g  W
2
2 W
ρ ACDmin
2 W
ρ ACDmax

ft
Utmax  400 
s

ft
Utmin  145.4 
s

To find the time needed to reach a fraction of the terminal velocity, we re-write the force balance:
ΣFy  M  ay

M  g  FD  M  ay
W

In terms of the weight:

W Ut
W dU
d U


  
g dt Ut
g dt





1
2

and

M g 

2

 ρ U  A CD 

W
g

 U

dU
dy



1
2

2

 ρ U  A CD  M 

W dU
W
dU


 U
g dt
g
dy
W Ut
g

2

 

U d  U

Ut  dy  Ut 
   

dU
dt

2

Simplifying this expression:

2

dU
dy

To normalize the derivatives by the terminal speed:

We may now re-write the above equation as:

2
2
W Ut
U d
U
U
2  W  W Ut d  U 





W   ρ    A CD 
     
g
g dt  Ut 
Ut dy Ut
2
Ut
ρ A CD 
 


 
   

1

 M  U

where we have substituted for the terminal
speed.

Ut
Ut
U d
U
U
d U
1    
   
      Now we can integrate with respect to time and
g
g dt Ut
 Ut 
 
 Ut  dy  Ut  distance:

U
Un 
Ut

If we let

Ut dUn
1  Un 

g dt
2

we can rewrite the equations:

t

 g

Separating variables: 
dt  

 Ut


0


0.90

1
1  Un

2

g t

dUn Integrating we get:

Ut

 atanh( 0.9)  atanh( 0 )

0

Evaluating the inverse hyperbolic tangents:

Now to find the distance:

2

Ut

2

t

1.472  Ut

dUn

1  Un 
 Un 
g
dy

g

so: tmin 

1.472  Utmin
g


Separating variables: 




y

0

Integrating we get:

1.472  Utmax

 6.65 s tmax 



dy 

2
Ut



g

 18.32 s

0.9

Un

g

1  Un

2

dUn

0

2
 1  0.92 
0.8304 Ut
  0.8304 Solving for the distance: y 
   ln
g
2
2  10 
Ut

g y

1

so: y min 

0.8304 Utmin
g

2

 166.4 m y max 

0.8304 Utmax
g

2

 1262 m

Problem 9.109

[Difficulty: 3]

Problem 9.110

[Difficulty: 3]

Problem 9.111

[Difficulty: 3]

Problem 9.112

[Difficulty: 3]

Given:

Data on a bus

Find:

Power to overcome drag; Maximum speed; Recompute with new fairing; Time for fairing to pay for itself

Solution:
Basic
equation:

1
2
FD   ρ A V  CD
2

The given data or available data is
1
2
FD   ρ A V  CD
2

P  FD V
V  80

km

V  22.2

hr

FD  2096 N P  FD V

m
s

2

A  7.5 m

CD  0.92

ρ  1.23

kg
3

m

P  46.57  kW The power available is

Pmax  465  hp  346.75 kW

The maximum speed corresponding to this maximum power is obtained from
1

1
2
Pmax    ρ A Vmax  CD  Vmax
2


or

 Pmax 
Vmax  

 1  ρ A CD 
2


We repeat these calculations with the new fairing, for which
1
2
FD   ρ A V  CD
2

FD  1959 N

3

m
km
Vmax  43.4
Vmax  156.2 
s
hr

CD  0.86
Pnew  FD V

Pnew  43.53  kW

1

The maximum speed is now

The initial cost of the fairing is

 Pmax 
Vmax  

 1  ρ A CD 
2


3

Cost  4500 dollars

The cost per day is reduced by improvement in the bus performance at 80 km/h
The new cost per day is then
Hence the savings per day is
The initial cost will be paid for in

m
km
Vmax  44.4
Vmax  159.8 
s
hr

Costday  300 

The fuel cost is

Gain 

Pnew
P

Gain  93.5 %

Costdaynew  Gain Costday

Costdaynew  280 

Saving  Costday  Costdaynew

Saving  19.6

τ 

Cost
Saving

dollars
day

dollars

τ  7.56 month

day

dollars
day

Problem 9.113

[Difficulty: 2]

Given:

Data on 1970's and current sedans

Find:

Plot of power versus speed; Speeds at which aerodynamic drag exceeds rolling drag

Solution:
CD 

Basic equation:

FD
1
2

2

 ρ V  A

The aerodynamic drag is

1
2
FD  CD  ρ V  A
2

Total resistance

FT  FD  FR
ρ =

The rolling resistance is

FR  0.015  W

The results generated in Excel are shown below:
0.00234

3

slug/ft

(Table A.9)

Computed results:

V (mph)

F D (lbf)

1970's Sedan
F T (lbf)

P (hp)

F D (lbf)

20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100

12.1
18.9
27.2
37.0
48.3
61.2
75.5
91.4
109
128
148
170
193
218
245
273
302

79.6
86.4
94.7
104
116
129
143
159
176
195
215
237
261
286
312
340
370

4.24
5.76
7.57
9.75
12.4
15.4
19.1
23.3
28.2
33.8
40.2
47.5
55.6
64.8
74.9
86.2
98.5

6.04
9.44
13.6
18.5
24.2
30.6
37.8
45.7
54.4
63.8
74.0
84.9
96.6
109
122
136
151

58.5
61.9
66.1
71.0
76.7
83.1
90.3
98.2
107
116
126
137
149
162
175
189
204

3.12
4.13
5.29
6.63
8.18
10.0
12.0
14.4
17.1
20.2
23.6
27.5
31.8
36.6
42.0
47.8
54.3

V (mph)

F D (lbf)
67.5

F R (lbf)
67.5

V (mph)

F D (lbf)
52.5

F R (lbf)
52.5

47.3

The two speeds above were obtained using Solver

59.0

Current Sedan
F T (lbf)

P (hp)

Power Consumed by Old and New Sedans
120
1970's Sedan
Current Sedan

100
80
P (hp)

60
40
20
0
20

30

40

50

60
V (mph)

70

80

90

100

Problem 9.114

[Difficulty: 4]

Given:

Data on a sports car

Find:

Speed for aerodynamic drag to exceed rolling resistance; maximum speed & acceleration at 100
km/h; Redesign change that has greatest effect

Solution:
1
2
Basic equation: FD   ρ A V  CD
2

P  FD V

The given data or available data is

M  1250 kg

2

A  1.72 m

CD  0.31

Pengine  180  hp  134.23 kW FR  0.012  M  g

To find the speed at which aerodynamic drag first equals rolling resistance, set the two forces equal
2  FR
ρ A CD

V  21.2

m

V  76.2

s

V  100 

1
2
FD   ρ V  A CD
2

η 

Pused

1

2

 ρ V  A CD  FR
2

hr

The power consumed by drag and rolling resistance at this speed is
Hence the drive train efficiency is

km

V  27.8

hr

m
s

Pengine  17 hp  12.677 kW

FD  253  N





Pused  FD  FR  V

Pused  11.1 kW

η  87.7 %

Pengine

The acceleration is obtained from Newton's second law
where T is the thrust produced by the engine, given by

M  a  ΣF  T  FR  FD
P
T
V

The maximum acceleration at 100 km/h is when full engine power is used. Pengine  180  hp  134.2  kW
Because of drive train inefficiencies the maximum power at the wheels is Pmax  η Pengine
Hence the maximum thrust is Tmax 
The maximum acceleration is then

Pmax
V

3

km

To find the drive train efficiency we use the data at a speed of
The aerodynamic drag at this speed is

kg
m

FR  147.1  N

The rolling resistance is then

Hence V 

ρ  1.23

Pmax  118  kW

Tmax  4237 N
amax 

Tmax  FD  FR
M

amax  3.07

m
2

s

The maximum speed is obtained when the maximum engine power is just balanced by power consumed by drag and rolling resistance
Pmax 

For maximum speed:

 1  ρ V 2 A C  F   V
2
max
D
R max



This is a cubic equation that can be solved by iteration or by using Excel's Goal Seek or Solver

km
Vmax  248 
hr

We are to evaluate several possible improvements:
For improved drive train

η  η  6 %

η  93.7 %
Pmax 

Pmax  η Pengine

Pmax  126  kW

 1  ρ V 2 A C  F   V
2
max
D
R max


km
Vmax  254 
hr

Solving the cubic (using Solver)
Improved drag coefficient:

CDnew  0.29
Pmax 

Pmax  118  kW

2
1

 2  ρ Vmax  A CDnew  FR  Vmax



km
This is the
Vmax  254 
hr best option!

Solving the cubic (using Solver)

Reduced rolling resistance:

FRnew  0.91 % M  g
FRnew  111.6 N
1
2
Pmax    ρ Vmax  A CD  FRnew  Vmax
2



Solving the cubic (using Solver)



km
Vmax  250 
hr

The improved drag coefficient is the best option.

Problem 9.115

[Difficulty: 3]

Given: zero net force acting on the particle; drag force and electrostatic force
Find:
Solution:
(a) Under steady-state, the net force acting on the particle is zero. The forces
acting on the particle contain the electrostatic force FE and the drag force FD
(Page 418, the first equation right after Fig.8.11).
FE  Fd  0  Qs E  6Ua  0
(1)
where U is the particle velocity relative to the stationary liquid.
Qs E 
(2)
Then one obtains U  6a

V
FE
y

Qs

FD

x

(b) From the solution, we can know that the particle velocity depends on its size. Smaller particles run faster
than larger ones, and thus they can be separated.
(c) Substituting the values of a, Qs, E, and  into equation (2), we obtains the velocity for a=1 m
U

C
1000 V/m
 10 12
N

 0.053
 0.053m/s
3
6
m
Pa  s  m
6  10 Pa  s 1  10

and U = 0.0053 m/s for a = 10 m.
The negatively charged particle moves in the direction opposite to that of the electric field applied.

Problem 9.116

Given:

Data on dimensions of anemometer

Find:

Calibration constant

[Difficulty: 5]

Solution:
The given data or available data is

D  2  in

R  3  in

ρ  0.00234 

slug
ft

3

The drag coefficients for a cup with open end facing the airflow and a cup with open end facing downstream are, respectively,
from Table 9.3
CDopen  1.42
CDnotopen  0.38
Assume the anemometer achieves steady speed ω due to steady wind speed V
k

The goal is to find the calibration constant k, defined by

V
ω

We will analyze each cup separately, with the following assumptions
1) Drag is based on the instantaneous normal component of velocity (we ignore possible effects on drag
coefficient of velocity component parallel to the cup)
2) Each cup is assumed unaffected by the others - as if it were the only object present
3) Swirl is neglected
4) Effects of struts is neglected

R
Relative velocity
= Vcos  - R



Vcos

V

In this more sophisticated analysis we need to compute the instantaneous normal relative velocity. From the
sketch, when a cup is at angle θ, the normal component of relative velocity is
Vn  V cos( θ)  ω R

(1)

The relative velocity is sometimes positive, and sometimes negatiive. From Eq. 1, this is determined by
ω R 
θc  acos

 V 
For

V n( θ )

0  θ  θc

Vn  0

θc  θ  2  π  θc

Vn  0

θc  θ  2  π

Vn  0

0

90

(2)

180

270

360

θ

The equation for computing drag is

1
2
FD   ρ A Vn  CD
2

(3)

2

A 

where

π D

2

A  3.14 in

4

In Eq. 3, the drag coefficient, and whether the drag is postive or negative, depend on the sign of the relative velocity
For

0  θ  θc

CD  CDopen

FD  0

θc  θ  2  π  θc

CD  CDnotopen

FD  0

θc  θ  2  π

CD  CDopen

FD  0

The torque is

1
2
T  FD R   ρ A Vn  CD R
2

The average torque is



Tav 
2 π 
1

2 π

0

1 
T dθ   
π 

π

T dθ

0

where we have taken advantage of symmetry
Evaluating this, allowing for changes when θ = θ c

θc
π
1 
1
1 
1
2
2


Tav  
 ρ A Vn  CDopen R dθ  
 ρ A Vn  CDnotopen  R dθ
π  2
π  2

θ
0
c

Using Eq. 1

and note that

θ

π


 c
2 
2

  ( V cos( θ)  ω R) dθ  CDnotopen   ( V cos( θ)  ω R) dθ
Tav 
 C

2  π  Dopen 0
θ
c


π
θ



 c
2 
2
2 

V
ρ A R ω
 V
Tav 
 cos( θ)  R dθ  CDnotopen     cos( θ)  R dθ
 CDopen
  ω
2 π

 
 ω


θ
0
c



ρ A R

V
ω

k

The integral is


1 

2
2 1
2
 ( k  cos( θ)  R) dθ  k   2  cos( θ)  sin( θ)  2  θ  2  k  R sin( θ)  R  θ




For convenience define

1
2 1
2
f ( θ)  k    cos( θ)  sin( θ)   θ  2  k  R sin( θ)  R  θ
2
2



Hence

Tav 

ρ A R
2 π

 



 

 CDopen f θc  CDnotopen  f ( π)  f θc


For steady state conditions the torque (of each cup, and of all the cups) is zero. Hence

 



   0

CDopen f θc  CDnotopen  f ( π)  f θc

or

CDnotopen
f θc 
 f ( π)
CDopen  CDnotopen

Hence

CDnotopen
1
2 1
2
2 π
2
k    cos θc  sin θc   θc  2  k  R sin θc  R  θc 
  k   R  π
2 
CDopen  CDnotopen 
2
2


Recall from Eq 2 that

ω R 
θc  acos

 V 

Hence

 

   

 

or

R
θc  acos 
k

CDnotopen
R
R
1
R
R
2 1 R
2 π
2
2
k     sin acos     acos    2  k  R sin acos    R  acos  
  k   R  π
k
k
2
2
k
2
k
k
C

C

  
 
  
 
Dopen
Dnotopen 

This equation is to be solved for the coefficient k. The equation is highly nonlinear; it can be solved by
iteration or using Excel's Goal Seek or Solver
From the associated Excel workbook
k  0.990  ft
The result from Problem 9.106 was k  0.0561

k  0.0707
mph

mph
rpm

This represents a difference of 20.6%. The difference can be attributed

rpm

to the fact that we had originally averaged the flow velocity, rather than integrated over a complete revolution.

Problem 9.117

[Difficulty: 4]

Problem 9.118

[Difficulty: 4]

Problem 9.119

[Difficulty: 4]

Problem 9.120

[Difficulty: 2]

Given:

Data on advertising banner

Find:

Power to tow banner; Compare to flat plate; Explain discrepancy

Solution:
Basic equation:

1
2
FD   ρ A  V  CD
2

P  FD V
V  55 mph

The given data or available data is

1
2
FD   ρ A  V  CD
2

FD  771 lbf

P  FD V





7

0.455



2.58

log ReL
1
2
FD   ρ A V  CD
2



s

A  180 ft

 4 ft

V L
ReL 
ν

ft

A  L h

ν  1.62  10

For a flate plate, check Re

CD 

V  80.7

2

L  45 ft
CD  0.05

h  4 ft

slug
ft

L

CD  0.563

h
4 ft  lbf

P  6.22  10 

s

P  113 hp

2

(Table A.9, 69oF)

s

ReL  2.241  10

so flow is fully turbulent. Hence use Eq 9.37b

1610

CD  0.00258

ReL

ρ  0.00234

FD  3.53 lbf

This is the drag on one side. The total drag is then 2  FD  7.06 lbf . This is VERY much less than the banner drag.
The banner drag allows for banner flutter and other secondary motion which induces significant form drag.

3

Problem 9.121

[Difficulty: 5]

Problem 9.122

Given:

Data on car antenna

Find:

Bending moment

[Difficulty: 1]

FD

Solution:

V

Basic equation:

1
2
FD   ρ A V  CD
2

The given or available data is

V  120 

km

 33.333

hr

s

L  1.8 m

D  10 mm

x
A  0.018 m

kg
3

M
2

ν  1.50  10

5 m



m
For a cylinder, check Re

Re 

V D
ν

y

2

A  L D
ρ  1.225 

m

Re  2.22  10

(Table A.10, 20 oC)

s

4

From Fig. 9.13

CD  1.0

1
2
FD   ρ A V  CD
2

The bending moment is then

L
M  FD
2

M  11.0 N m

FD  12.3 N

Problem 9.123

Given:

Data on wind turbine blade

Find:

Bending moment

[Difficulty: 1]

FD
V

Solution:
Basic equation:

1
2
FD   ρ A V  CD
2

The given or available data is

V  85 knot  143.464 
A  L W
slug
ft
ReL 
CD 

The bending moment is then

s

L  1.5 ft

W  115  ft

3

2

 4 ft

ReL  1.32  10

ν
0.0742
1



1740
ReL

x
M

ν  1.63  10

V L

ReL

ft

A  172.5  ft

ρ  0.00233 

For a flat plate, check Re

y

CD  0.00311

5

1
2
FD  2   ρ A V  CD
2

FD  25.7 lbf

W
M  FD
2

M  1480 ft lbf



6

2

(Table A.9, 70oF)

s
so use Eq. 9.37a

Problem 9.124

Given:

Data on wind turbine blade

Find:

Power required to maintain operating speed

[Difficulty: 4]

Solution:
Basic equation:

1
2
FD   ρ A V  CD
2

The given or available data is

ω  25 rpm
ρ  0.00233 

L  1.5 ft
slug
ft

W  115  ft

ν  1.63  10

3

 4 ft



2

(Table A.9, 70oF)

s

The velocity is a function of radial position, V( r)  r ω, so Re varies from 0 to Remax 

V( W)  L

Remax  2.77  10

ν

6

The transition Reynolds number is 500,000 which therefore occurs at about 1/4 of the maximum radial distance; the
boundary layer is laminar for the first quarter of the blade. We approximate the entire blade as turbulent - the first 1/4 of
the blade will not exert much moment in any event
Re( r) 

Hence

L
ν

 V( r) 

L ω
ν

r
1

CD 

Using Eq. 9.37a

0.0742
1

ReL

The drag on a differential area is

Hence



M   1 dM  




dFD 

2

W

ReL

0.0742



1

 L ω  r
 ν 



5



1740
L ω
ν

1
2
2
 ρ dA V  CD   ρ L V  CD dr
2
2

W

1

1740

1

2

 ρ L V  CD r dr

0




1
2
M   ρ L ω  

2


5






M



W

 0.0742 


 r
 L ω 

r

ν

1
5

 1740 

The bending moment is then

1

5 
1
ν 
2 3

 ρ L ω  r  0.0742 
 r
2

 L ω 

1
5

  r 1

 L ω 
ν

dM  dFD r


ν   1
 1740 
  r dr
 L ω  

0

1
1


14
19


5
5

1
1740  ν  3
5
2  5  0.0742  ν 
5
 ν 
 ν  2
0.0742  L ω   r  1740  L ω   r  dr M  2  ρ L ω   19   L ω   W  3   L ω   W 

0

M  1666 ft lbf

5 

Hence the power is

P  M ω

P  7.93 hp

Problem 9.125

Given:

A runner running during different wind conditions.

Find:

Calories burned for the two different cases

Solution:
Governing equation:

CD 

FD

FD 

1
V 2 A
2

1
C D V 2 A
2

Assumption: 1) CDA = 9 ft2 2) Runner maintains speed of 7.5 mph regardless of wind conditions
No wind:

  0.00238 slug/ft 3

V  7.5 mph  11 ft/s
The drag force on the runner is:

FD 

2
1
slug
2 ft
 9 ft 2  0.00238 3  11 2  1.296 lbf
2
ft
s

Energy burned:

E  Power  time  FD  Vrunner  time

Where

time  4 mi 

Hence

E  1.296 lbf 

hr
3600 s

 1920 s
7.5 mi
hr

0.0003238 kcal
11f
 1920 s 
s
ft  lbf

E  8.86 kcal

With 5 mph wind:
Going upwind:

Vrel  12.5 mph  18.33

The drag force on the runner is:

time  2 mi 

FD 

ft
s

2
slug
1
2 ft
 9 ft 2  0.00238 3  18.33 2  3.598 lbf
2
ft
s

hr
3600 s

 960 s
7.5 mi
hr

[Difficulty: 2]

Eupwind  3.598 lbf 

0.0003238 kcal
11f
 960 s 
 12.30 kcal
s
ft  lbf
Vrel  2.5 mph  3.67

Going downwind:

The drag force on the runner is:

FD 

ft
s

2
slug
1
2 ft
 9 ft 2  0.00238 3  3.67  2  0.144 lbf
2
ft
s

hr
3600 s

 960 s
7.5 mi
hr
0.0003238 kcal
11f
 0.144 lbf 
 960 s 
 0.49 kcal
s
ft  lbf

time  2 mi 
E downwind

Hence the total energy burned to overcome drag when the wind is 5 mph is:

E  12.30 kcal  0.49 kcal  12.79 kcal

this is 44% higher

Problem 9.126

[Difficulty: 2]

Problem 9.127

[Difficulty: 2]

Problem 9.128

Given:
Find:
Solution:

[Difficulty: 2]

Data on helium-filled balloon, angle balloon string makes when subjected to wind

FB

V

Drag coefficient for the balloon

FD
1

2

Basic equations:

FD   ρ A V  CD
2

The given or available data is

D  20 in

FB  0.3 lbf

ρ  0.00233 

slug
ft

Based on a free body diagram of the balloon,
The reference area for the balloon is: A 

π
4

3

y

ΣFy  0
V  10

ν  1.63  10

ft
s

 4 ft



x

θ  55 deg
2


T

(Table A.9, 70oF)

s

FD  FB tan( 90 deg  θ)  0.2101 lbf
2

 D  2.182  ft

2

so the drag coefficient is:

CD 

FD
1
2

2

 ρ V  A

 0.826

Problem 9.129

[Difficulty:
[
2]

Problem 9.130

Given:

3 mm raindrop

Find:

Terminal speed

[Difficulty: 2]

Solution:
Basic equation:

1
2
FD   ρ A V  CD
2

Given or available data is

D  3  mm

Summing vertical forces

ΣF  0

kg
ρH2O  1000
3
m

kg
ρair  1.225 
3
m

1
2
M  g  FD  M  g   ρair A V  CD  0
2
M  1.41  10

Assume the drag coefficient is in the flat region of Fig. 9.11 and verify Re later
V 
Re 

2 M g
CD ρair A
V D
ν

V  8.95

2
5 m



(Table A.10, 20 oC)

s

Buoyancy is negligible

3

π D
M  ρH2O
6

Check Re

ν  1.50  10

5

2

kg

A 

π D
4

CD  0.4

m
s
3

Re  1.79  10 which does place us in the flat region of the curve

Actual raindrops are not quite spherical, so their speed will only be approximated by this result

6

A  7.07  10

2

m

Problem 9.131

[Difficulty: 3]

Problem 9.132

[Difficulty: 3]

Problem 9.133

[Difficulty: 3]

F n2

Fn1
W

Given:

Circular disk in wind

Find:

Mass of disk; Plot α versus V

Solution:
Basic equations:

CD 


ΣM  0

FD
1
2

2

 ρ V  A

1
D
Summing moments at the pivot W L sin( α)  Fn1 L    L    Fn2  0 (1) and for each normal drag
2 
2

1
2
Fn   ρ Vn  A CD
2

Assume 1) No pivot friction 2) CD is valid for Vn = Vcos(α)
The data is

ρ  1.225 

kg

μ  1.8  10

3

 5 N s

m



2

m

D  25 mm

d  3  mm

CD1  1.17 (Table
9.3)

Red 

ρ V d
μ

V  15

m
s

L  40 mm

α  10 deg

Red  3063

so from Fig. 9.13

CD2  0.9

2

Hence

1
2 π D
Fn1   ρ ( V cos( α) ) 
 CD1
2
4

Fn1  0.077 N

1
D
2
Fn2   ρ ( V cos( α) )   L    d  CD2
2
2


Fn2  0.00992 N

The drag on the support is much less than on the disk (and moment even less), so results will not be much different from those of
Problem 9.105
2

Hence Eq. 1 becomes

1
1
D
D
1
2 π D
2
M  L g  sin( α)  L  ρ ( V cos( α) ) 
 CD1    L      ρ ( V cos( α) )   L    d  CD2
2
4
2 
2  2
2


2

M 

ρ V  cos( α)

2

1
D 
D
2
   π D  CD1   1 
  L    d  CD2

4  g  sin( α)  2
2 L  
2



M  0.0471 kg

V

Rearranging

4 M g
ρ



tan( α)
cos( α)

We can plot this by choosing α and computing V



1

 1  π D2 C 
2
D1


 1  D    L  D   d C 



D2
2 L  
2



V  35.5

80

V (m/s)

60

40

20

0

10

20

30

40

Angle (deg)
This graph can be easily plotted in Excel

50

60

70

m
s



tan( α)
cos( α)

Problem 9.134

[Difficulty: 3]

Given:

Data on a tennis ball

Find:

Terminal speed time and distance to reach 95% of terminal speed

Solution:
The given data or available data is

M  57 gm

2

A 

Then

π D
4

2
5 m

D  64 mm

ν  1.45 10
3

A  3.22  10

At terminal speed drag equals weight

FD  M  g

The drag at speed V is given by

1
2
FD   ρ A V  CD
2

Hence the terminal speed is

Vt 

Check the Reynolds number

Re 

s

kg
3

m

2

CD  0.5

(from Fig. 9.11)

M g
2

ρ  1.23

m

Assuming high Reynolds number

1



 ρ A CD

Vt D

m
Vt  23.8
s

Re  1.05  10

ν

5

Check!

For motion before terminal speed Newton's second law applies
M a  M

dV

1
2
 M  g    ρ V  A CD
dt
2

Separating variables

2
d
V  g  k V
dt

or







V

1
2

dV  t

g  k V

0

Hence

Evaluating at V = 0.95Vt

For distance x versus time, integrate

g

V( t) 

k

0.95 Vt 

dx
dt



g
k

k 

where







1
2

ρ A CD

k  0.0174

2 M

dV 

g  k V

1
g k

 k  V

 g 

 atanh

 tanh g  k  t

g
k

 tanh g  k  t

 tanh g  k  t

1

t 

g k


x






 atanh 0.95 Vt

t

0

g
k

 tanh g  k  t dt

k



g

t  4.44 s

1
m

Note that


1
 tanh( a t) dt   ln( cosh( a t) )
a


Hence

x ( t) 

Evaluating at V = 0.95Vt

1
k

t  4.44 s

 ln cosh g  k  t 

so

x ( t)  67.1 m

Problem 9.135

[Difficulty: 4]

Problem 9.136

[Difficulty: 3]

Problem 9.137

Given:

Data on model airfoil

Find:

Lift and drag coefficients

[Difficulty: 3]

Solution:
Basic equation:

CD 

FD
1

2

 ρ A V
2
Given or available data is D  2  cm
V  30

m

CL 

FL

where A is plan area for airfoil, frontal area for rod

1

2

 ρ A V
2
(Rod)
L  25 cm
FL  50 N

s

b  60 cm

c  15 cm (Airfoil)

FH  6  N

Note that the horizontal force F H is due to drag on the airfoil AND on the rod
ρ  1.225 

kg

ν  1.50  10

3

2
5 m



m
For the rod

Rerod 

V D

4

Rerod  4  10

ν

Arod  L D

Arod  5  10

1
2
FDrod  CDrod  ρ Arod V
2
Hence for the airfoil

A  b c
CD 

2

so from Fig. 9.13

3

2

 ρ A V

CD  0.0654

CDrod  1.0

2

m

FDrod  2.76 N

FD  FH  FDrod
FD

1

(Table A.10, 20 oC)

s

CL 

FD  3.24 N
FL
1
2

2

 ρ A V

CL  1.01

CL
CD

 15.4

Problem 9.138

[Difficulty: 3]

Problem 9.139

[Difficulty: 4]

Problem 9.140

[Difficulty: 4]

Problem 9.141

[Difficulty: 4]

Given:

Data on a tennis ball

Find:

Terminal speed time and distance to reach 95% of terminal speed

Solution:
The given data or available data is

M  57 gm
2

Then
From Problem 9.132

A 
CD 

π D

ν  1.45 10
3 2

A  3.22  10

4
24

m

Re  1

Re
24

CD 

2
5 m

D  64 mm

1  Re  400

0.646

Re
CD  0.5

400  Re  3  10
0.4275

5

5

6

CD  0.000366 Re

3  10  Re  2  10

CD  0.18

Re  2  10

6

At terminal speed drag equals weight FD  M  g
The drag at speed V is given by

1
2
FD   ρ A V  CD
2

Assume

CD  0.5

Hence the terminal speed is

Vt 

Check the Reynolds number

Re 

2 M g
ρ A CD
Vt D
ν

This is consistent with the tabulated CD values!

m
Vt  23.8
s
Re  1.05  10

5



s

ρ  1.23

kg
3

m

For motion before terminal speed, Newton's second law is M  a  M 

dV

1
2
 M  g    ρ V  A CD
dt
2

Hence the time to reach 95% of terminal speed is obtained by separating variables and integrating

t





0.95 Vt

1
g

ρ A CD
2 M

dV
2

V

0

For the distance to reach terminal speed Newton's second law is written in the form
M  a  M  V

dV

1
2
 M  g    ρ V  A CD
dx
2

Hence the distance to reach 95% of terminal speed is obtained by separating variables and
integrating

x





0.95 V t

V
g

ρ A CD
2 M

dV
2

V

0

These integrals are quite difficult because the drag coefficient varies with Reynolds number, which
varies with speed. They are best evaluated numerically. A form of Simpson's Rule is

∆V
 f ( V) dV 
 f V0  4  f V1  2  f V2  4  f V3  f VN
3


 

 

 

 

 

where ΔV is the step size, and V0, V1 etc., are the velocities at points 0, 1, ... N.
Here
From the associated Excel
calculations (shown below):

V0  0

0.95 Vt

VN  0.95 Vt

∆V 

t  4.69 s

x  70.9 m

N

These results compare to 4.44 s and 67.1 m from Problem 9.132, which assumed the drag coefficient was constant and
analytically integrated. Note that the drag coefficient IS essentially constant, so numerical integration was not really necessary!

For the time:
V (m/s)
Re
0
1.13
2.26
3.39
4.52
5.65
6.78
7.91
9.03
10.2
11.3
12.4

0
4985
9969
14954
19938
24923
29908
34892
39877
44861
49846
54831

5438
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500

W f (V ) W xf (V )
1 0.102 0.102
4 0.102 0.409
2 0.103 0.206
4 0.104 0.416
2 0.106 0.212
4 0.108 0.432
2 0.111 0.222
4 0.115 0.458
2 0.119 0.238
4 0.125 0.499
2 0.132 0.263
4 0.140 0.561

13.6
14.7
15.8
16.9
18.1
19.2
20.3
21.5
22.6

59815
64800
69784
74769
79754
84738
89723
94707
99692

0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500

2
4
2
4
2
4
2
4
1

CD

0.151
0.165
0.183
0.207
0.241
0.293
0.379
0.550
1.05

0.302
0.659
0.366
0.828
0.483
1.17
0.758
2.20
1.05

Total time:

4.69

For the distance:
f (V ) W xf (V )

s

0.00
0.115
0.232
0.353
0.478
0.610
0.752
0.906
1.08
1.27
1.49
1.74

0.000
0.462
0.465
1.41
0.955
2.44
1.50
3.62
2.15
5.07
2.97
6.97

2.05
2.42
2.89
3.51
4.36
5.62
7.70
11.8
23.6

4.09
9.68
5.78
14.03
8.72
22.5
15.4
47.2
23.6

Total distance:

70.9

m

Problem 9.142

Given:

Data on an air bubble

Find:

Time to reach surface

[Difficulty: 4]

Solution:
The given data or available data is
h  100  ft  30.48 m

ρ  1025

kg

CD  0.5 (Fig. 9.11)

(Table A.2)

3

p atm  101  kPa

m

1

dx  V dt where

To find the location we have to integrate the velocity over time:

V

 patm  ρ g h

3 CD p atm  ρ g  ( h 


4 g  d 0

The results (generated in Excel) for each bubble diameter are shown below:
d 0 = 0.3 in
d 0 = 7.62 mm

d0=

t (s) x (m) V (m/s)

t (s) x (m) V (m/s)

0
5
10
15
20
25
30
35
40
45
50
63.4

0
2.23
4.49
6.76
9.1
11.4
13.8
16.1
18.6
21.0
23.6
30.5

0.446
0.451
0.455
0.460
0.466
0.472
0.478
0.486
0.494
0.504
0.516
0.563

5

mm

0
5
10
15
20
25
30
35
40
45
50
55

0
1.81
3.63
5.47
7.32
9.19
11.1
13.0
14.9
16.9
18.8
20.8

0.362
0.364
0.367
0.371
0.374
0.377
0.381
0.386
0.390
0.396
0.401
0.408

60
65
70
75
77.8

22.9
25.0
27.1
29.3
30.5

0.415
0.424
0.435
0.448
0.456

d0 =

15

mm

t (s) x (m) V (m/s)
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
40.0
45.1

0
3.13
6.31
9.53
12.8
16.1
19.5
23.0
26.6
30.5

0.626
0.635
0.644
0.655
0.667
0.682
0.699
0.721
0.749
0.790

Use Goal Seek for the last time step to make x = h !

Depth of Air Bubbles versus Time
30
25
20
x (m)
15
10

Initial Diameter = 5 mm
Initial Diameter = 0.3 in

5

Initial Diameter = 15 mm

0
0

10

20

30

40

50
t (s)

60

70

80



x)


6

Problem 9.143

Given:

Data on a tennis ball

Find:

Maximum height

[Difficulty: 4]

Solution:
The given data or available data is M  57 gm

2
5 m

m
Vi  50
s

D  64 mm

ν  1.45 10

2

Then

From Problem 9.132

A 
CD 
CD 

π D



s

3 2

A  3.22  10

4
24

m

Re  1

Re
24

1  Re  400

0.646

Re
CD  0.5

400  Re  3  10
0.4275

The drag at speed V is given by

5

6

CD  0.000366 Re

3  10  Re  2  10

CD  0.18

Re  2  10

6

1
2
FD   ρ A V  CD
2
dV

1
2
   ρ V  A CD  M  g
dt
2

For motion before terminal speed, Newton's second law (x upwards) is

M a  M

For the maximum height Newton's second law is written in the form

M  a  M  V

0

Hence the maximum height is

5


V
dV 
x max  

ρ A CD 2
 
V  g
2 M

V

dV

1
2
   ρ V  A CD  M  g
dx
2

V
 i
V

dV

ρ A CD 2

V  g
2 M



i

0

This integral is quite difficult because the drag coefficient varies with Reynolds number, which
varies with speed. It is best evaluated numerically. A form of Simpson's Rule is

∆V
 f ( V) dV 
 f V0  4  f V1  2  f V2  4  f V3  f VN
3


 

 

where ΔV is the step size, and V0, V1 etc., are the velocities at points 0, 1, ... N.

 

 

 

ρ  1.23

kg
3

m

Here

V0  0

From the associated Excel workbook
(shown here)

If we assume

the integral

VN  Vi
x max  48.7 m

∆V  

V (m/s)

Re
0
11034
22069
33103
44138
55172
66207
77241
88276
99310
110345
121379
132414
143448
154483
165517
176552
187586
198621
209655
220690

0.0
2.5
5.0
7.5
10.0
12.5
15.0
17.5
20.0
22.5
25.0
27.5
30.0
32.5
35.0
37.5
40.0
42.5
45.0
47.5
50.0

CD
0.000
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500
0.500

W
1
4
2
4
2
4
2
4
2
4
2
4
2
4
2
4
2
4
2
4
1

Vi
N

f (V ) W xf (V )
0.000
0.252
0.488
0.695
0.866
1.00
1.09
1.16
1.19
1.21
1.21
1.20
1.18
1.15
1.13
1.10
1.06
1.03
1.00
0.970
0.940

0.000
1.01
0.976
2.78
1.73
3.99
2.19
4.63
2.39
4.84
2.42
4.80
2.36
4.62
2.25
4.38
2.13
4.13
2.00
3.88
0.940

CD  0.5
V
 i
V

dV
x max 

ρ A CD 2

V  g
2 M


0

becomes

x max 

M
ρ A CD

 ρ A CD

 ln

 2 M g

2




 Vi  1

x max  48.7 m

The two results agree very closely! This is because the integrand does not vary much after the first few steps so
the numerical integral is accurate, and the analytic solution assumes CD = 0.5, which it essentially does!

Problem 9.144

[Difficulty: 4]

Problem 9.145

[Difficulty: 3]

Given:

Data on rooftop carrier

Find:

Drag on carrier; Additional fuel used; Effect on economy; Effect of "cheaper" carrier

Solution:
Basic equation:

Given or available data is

CD 

FD
1

2

 ρ A V
2
w  1 m
V  100 

h  50 cm

km

V  27.8

hr

kg
ρH2O  1000
3
m
ρ  1.225 

kg

r  10 cm

m

FE  12.75 

s

r
h

Additional power is
Additional fuel is

 0.2

∆P 

FD V

s
o

FE  30.0

L

A  0.5 m


mi
gal

BSFC  0.3

2
5 m

m
From the diagram

km

2

A  w h
ν  1.50  10

3

ηd  85 %

kg
kW hr

(Table A.10,
20oF)

s
1
2
FD  CD  ρ A V
2

CD  0.25

FD  59.1 N

∆P  1.93 kW

ηd

∆FC  BSFC ∆P

 4 kg

∆FC  1.61  10

∆FC  0.00965 

s

kg
min

Fuel consumption of the car only is (with SGgas  0.72 from Table A.2)
FC 

FE 

Fuel economy with the carrier is
r
h
Additional power is

0

∆P 

FE

 SG gas ρH2O

FCT  FC  ∆FC

The total fuel consumption is then

For the square-edged:

V

s
o
FD V
ηd

V
FCT

 SG gas ρH2O

CD  0.9
∆P  6.95 kW

FC  1.57  10

 3 kg

FCT  1.73  10
FE  11.6

s
 3 kg

km
L

1
2
FD  CD  ρ A V
2

s

FC  0.0941

kg
min

FCT  0.104 
FE  27.2

mi
gal

FD  213 N

kg
min

Additional fuel is

∆FC  BSFC ∆P

The total fuel consumption is then

Fuel economy withy the carrier is now

 4 kg

∆FC  5.79  10

s
 3 kg

FCT  FC  ∆FC
FE 

V
FCT

FCT  2.148  10

 SG gas ρH2O

The cost of the trip of distance d  750  km for fuel costing p 

$  3.50
gal

∆FC  0.0348

FE  9.3

km
L

s

FCT  0.129 
FE  21.9

The cost of the trip of with the rounded carrier ( FE  11.6

Cost 

d
FE

 p  discount

Cost  69.47

plus the rental fee

Cost  59.78

plus the rental fee

km
) is then
L
d
FE

p

min

kg
min

mi
gal

with a rental discount  $  5 less than the rounded carrier is

then
Cost 

kg

Hence the "cheaper" carrier is more expensive (AND the environment is significantly more damaged!)

Problem 9.146

Given:

Data on barge and river current

Find:

Speed and direction of barge

Solution:
Basic
equation:

CD 

FD
1
2

Given or available data is

2

 ρ A V

W  8820 kN w  10 m

kg
CDa  1.3 ρw  998 
3
m

[Difficulty: 4]

2
6 m

νw  1.01  10



s

L  30 m

h  7 m

kg
ρa  1.21
3
m

m
Vriver  1 
s

νa  1.50  10

h sub 

W
ρw g  w L

 3.00 m

Vsub  w L h sub

CDw  1.3

2
 5 m (Water data from Table A.8, air



s data from Table A.10, 20 oC)

First we need to calculate the amount of the barge submerged in the water. From Archimedes' Principle:
The submerged volume can be expressed as:

m
Vwind  10
s

W  ρw g  Vsub

Combining these expressions and solving for the depth:
h air  h  h sub  4.00 m

Therefore the height of barge exposed to the wind is:

Assuming the barge is floating downstream, the velocities of the water and air relative to the barge is:
Vw  Vriver  Vbarge
Assuming that the barge is rectangular, the areas exposed to the air and water are:

Va  Vwind  Vbarge
2

Aa  L w  2  ( L  w)  h air  620 m

2

Aw  L w  2  ( L  w)  h sub  540 m
In order for the barge to be traveling at a constant speed, the drag forces due to the air and water must match:
1
2
2
 CDw ρw Vw  Aw   CDa ρa Va  Aa
2
2
1

Solving for the speed relative to the water:

2

ρ Aa
2
2 a
Vw  Va 

ρw Aw

ρa Aa
In terms of the barge speed:
Vw  Va

ρw Aw

So solving for the barge speed:

2

Since the drag coefficients are equal, we can simplify: ρw Vw  Aw  ρa Va  Aa
Since the speeds must be in opposite directions:

ρa Aa
Vriver  Vbarge   Vwind  Vbarge 

ρw Aw
ρa Aa

Vriver  Vwind
ρw Aw
m
Vbarge 
Vbarge  1.426
s
ρa Aa
1

ρw Aw





downstream

Problem 9.147

[Difficulty: 4]

Problem 9.148

[Difficulty: 4]

Given:

Data on sonar transducer

Find:

Drag force at required towing speed; minimum depth necessary to avoid cavitation

Solution:
CD 

Basic equation:

FD
1
2

Given or available data is

2

 ρ A V

D  15 in

A 

π
4

2

 D  1.227  ft

2

p  p inf
1
2

V  55

The Reynolds number of the flow is: Re 
The area is:

CP 

V D
ν

ft
s

p min  5  psi ρ  1.93

 6.486  10

h 

6

ρ g

3

ν  1.06  10

 5 ft



2

(Table A.7, 70oF)

s

From Fig. 9.11, we estimate the drag coefficient:

Therefore the drag force is:

p inf  p atm

slug
ft

From Fig. 9.12 the minimum pressure occurs where CP  1.2
Solving for the required depth:

p  p atm  ρ g  h

2

 ρ V

1
2
FD   CD ρ V  A
2

Therefore:

CD  0.18

FD  645  lbf

1
2
p inf  p min   CP ρ V  29.326 psi
2
h  33.9 ft

Problem 9.149

[Difficulty: 4]

Problem 9.150

[Difficulty: 4]

Given: Data on a rocket
Find: Plot of rocket speed with and without drag
Solution:
From Example 4.12, with the addition of drag the momentum equation becomes
FB y  FS y 



CV

a rf y  dV 


t



CV

v xyz  dV 



CV



v xyz V xyz  dA

where the surface force is
FS y  

1
AV 2 C D
2

Following the analysis of the example problem, we end up with
2
dVCV Ve m e  12 AVCV C D
g

dt
M 0  m e t

This can be written (dropping the subscript for convenience)
dV
 f V , t 
dt

(1)

where
f V , t  

Ve m e  12 AV 2 C D
M 0  m e t

g

(2)

Equation 1 is a differential equation for speed V.
It can be solved using Euler’s numerical method
Vn 1  Vn  t f n

where Vn+1 and Vn are the n + 1th and nth values of V, fn is the function given by Eq. 2 evaluated at the nth
step, and t is the time step.
The initial condition is

V0  0 at t  0

Given or available data:
M 0 = 400 kg
m e = 5 kg/s
V e = 3500 m/s
 = 1.23 kg/m
D = 700 mm
C D = 0.3

3

Computed results:
2

A = 0.38 m
N = 20
t = 0.50 s

With drag:
n t n (s) V n (m/s)
0 0.0
0.0
1 0.5
17.0
2 1.0
34.1
3 1.5
51.2
4 2.0
68.3
5 2.5
85.5
6 3.0
102
7 3.5
119
8 4.0
136
9 4.5
152
10 5.0
168
11 5.5
184

33.9
34.2
34.3
34.3
34.2
34.0
33.7
33.3
32.8
32.2
31.5
30.7

17.0
34.1
51.2
68.3
85.5
102
119
136
152
168
184
200

0.0
17.0
34.1
51.3
68.7
86.2
104
122
140
158
176
195

33.9
34.2
34.5
34.8
35.1
35.4
35.6
35.9
36.2
36.5
36.9
37.2

17.0
34.1
51.3
68.7
86.2
104
122
140
158
176
195
213

12 6.0
13 6.5
14 7.0
15 7.5
16 8.0
17 8.5
18 9.0
19 9.5
20 10.0

29.8
28.9
27.9
26.9
25.8
24.7
23.6
22.5
21.4

214
229
243
256
269
282
293
305
315

213
232
251
270
289
308
328
348
368

37.5
37.8
38.1
38.5
38.8
39.1
39.5
39.8
40.2

232
251
270
289
308
328
348
368
388

200
214
229
243
256
269
282
293
305

f n V n+1 (m/s)

Without drag:
V n (m/s) f n V n+1 (m/s)

Trajectory of a Rocket
400

300
V (m/s)

200
Without Drag

100

With Drag

0
0

2

4

6

8
t (s)

10

12

Problem 9.151

Given:
Find:
Solution:

[Difficulty: 4]

Baseball popped up, drag estimates based on Reynolds number
Time of flight and maximum height

CD 

Basic equation:

FD
1
2

Given or available data is

2

 ρ A  V

M  0.143 kg

ΣFy  M  ay

Here are the calculations performed in Excel:

ρ =

1.21

dVy
dt

m
V0y  25
D  0.073 m
s

We solve this problem by discretizing the flight of the ball:

Given or available data:
M = 0.143
V 0y =
25
D = 0.073

ay 

ΣFy
∆Vy  ay  ∆t 
 ∆t
M

∆y  Vy ∆t

kg
m/s
m
kg/m

3

ν = 1.50E-05 m /s
2

Computed results:
A = 0.00419 m
Δt =
0.25 s

2

CD

a y (m/s2 )

V ynew (m/s)

25.0
22.3
19.6
17.0
14.4
11.9
9.3
6.8
4.4
1.9
0.0
-2.5

Re
1.22E+05
1.08E+05
9.54E+04
8.26E+04
7.01E+04
5.77E+04
4.54E+04
3.33E+04
2.13E+04
9.30E+03
0.00E+00
1.19E+04

0.10
0.10
0.10
0.10
0.10
0.10
0.10
0.10
0.10
0.47
0.47
0.10

-10.917
-10.688
-10.490
-10.320
-10.177
-10.059
-9.964
-9.893
-9.844
-9.840
-9.810
-9.799

22.3
19.6
17.0
14.4
11.9
9.3
6.8
4.4
1.9
0.0
-2.5
-4.9

-4.9
-7.3
-9.8
-12.2
-14.6
-16.9
-19.3
-21.5
-23.7

2.39E+04
3.57E+04
4.76E+04
5.93E+04
7.09E+04
8.24E+04
9.37E+04
1.05E+05
1.15E+05

0.10
0.10
0.10
0.10
0.10
0.10
0.10
0.10
0.10

-9.767
-9.714
-9.641
-9.547
-9.434
-9.303
-9.154
-8.988
-8.816

-7.3
-9.8
-12.2
-14.6
-16.9
-19.3
-21.5
-23.7

t n (s)

y (m)

V y (m/s)

0.00
0.25
0.50
0.75
1.00
1.25
1.50
1.75
2.00
2.25
2.44
2.69

0.0
5.9
11.1
15.7
19.6
22.9
25.6
27.6
29.0
29.8
30.0
29.7

2.94
3.19
3.44
3.69
3.94
4.19
4.44
4.69
4.93

28.7
27.2
25.1
22.3
19.0
15.0
10.5
5.4
0.0

The results are plotted below.
The answers are:
height =
30.0 m
time =
4.93 s

Trajectory of Baseball
35
30
25
y (m)

20
15
10
5
0
0.0

0.5

1.0

1.5

2.0

2.5

3.0
t (s)

3.5

4.0

4.5

5.0

Problem 9.152

[Difficulty: 5]

Problem 9.153

[Difficulty: 5]

Problem 9.154

[Difficulty: 5] Part 1/2

Problem 9.154

[Difficulty: 5] Part 2/2

Problem 9.155

[Difficulty: 5] Part 1/2

Problem 9.155

[Difficulty: 5] Part 2/2

Problem 9.156

[Difficulty: 3]

Given:

Data on airfoil and support in wind tunnel, lift and drag measurements

Find:

Lift and drag coefficients of airfoil

FL

Solution:
Basic equations: CD 
1
2
The given or available data is

FD
2

 ρ A V

L  6  in

CL 

V

FL
1
2

2

 ρ A V

W  30 in

FL  10 lbf

FD

V  100 

y
ft
s

Dcyl  1  in

FD  1.5 lbf

ρ  0.00233 

slug
ft

Re 

V Dcyl

4

Re  5.112  10

ν

3

ν  1.63  10

 4 ft



2

s

FD  FDcyl  FDairfoil

We need to determine the cylindrical support's contribution to the total drag force:

Compute the Reynolds number

x

Lcyl  10 in

Therefore: CDcyl  1

1
2
So the drag force on the support is: FDcyl   CDcyl ρ V  Lcyl Dcyl  0.809  lbf
2
So the airfoil drag is: FDairfoil  FD  FDcyl  0.691  lbf The reference area for the airfoil is: A  L W  1.25 ft
The lift and drag coefficients are:

CL 

FL
1
2

CD 

2

 ρ V  A

2

CL  0.687

FDairfoil
1
2

2

 ρ V  A

CD  0.0474

Problem 9.157

[Difficulty: 2]

Given:

Antique airplane guy wires

Find:

Maximum power saving using optimum streamlining

Solution:
Basic equation:

Given or available data is

CD 

FD
1

2

 ρ A V
2
L  50 m

The Reynolds number is

Hence

Re 

V  175 

km
hr

V  48.6

m
s

A  0.25 m
kg
3

m
V D
ν

D  5  mm
2

A  L D
ρ  1.21

P  FD V

ν  1.50  10

2
5 m

Re  1.62  10



(Table A.10, 20 oC)

s

4

1
2
P   CD  ρ A V   V
2



so from Fig. 9.13

CD  1.0

P  17.4 kW

with standard wires

Figure 9.19 suggests we could reduce the drag coefficient to CD  0.06
Hence

1
2
Pfaired   CD  ρ A V   V
2



Pfaired  1.04 kW

The maximum power saving is then

∆P  P  Pfaired

∆P  16.3 kW

Thus

∆P
P

 94 %

which is a HUGE savings! It's amazing the antique planes flew!

Problem 9.158

[Difficulty: 4]

Problem 9.159

[Difficulty: 5]

Problem 9.160

[Difficulty: 1]

Problem 9.161

Given:

Aircraft in level flight

Find:

Effective lift area; Engine thrust and power

[Difficulty: 1]

Solution:
Basic equation:

CD 

FD
1

2

 ρ A V

For level, constant speed

2
FD  T

Given or available data is

V  225 

km

ρ  1.21

kg

hr

CL 

FL
1

2
FL  W

P  T V
2

 ρ A V

V  62.5

m
s

CL  0.45

CD  0.065

M  900  kg

(Table A.10, 20 oC)

3

m
Hence

Also

1
2
FL  CL  ρ A V  M  g
2
FL
FD

The power required is then



CL
CD

FL  M  g

T  FD

T  1275 N

P  T V

P  79.7 kW

A 

2 M g

2

2

CL ρ V
FL  8826 N

A  8.30 m

CD
FD  FL
CL

FD  1275 N

Problem 9.162

Given:

Data on a hydrofoil

Find:

Minimum speed, power required, top speed

[Difficulty: 2]

FL

V

Solution:
Assumption:

y

FD

W
x
The drag on the hydrofoil is much greater than any other drag force on the craft once the foil supports the craft.

The given data or available data is

ρ  1.94

slug
ft

A  7.5 ft

3

To support the hydrofoil, the lift force must equal the weight:
Based on the required lift force, the speed must be:

Vmin 

2

CL  1.5

CD  0.63

W  4000 lbf

Pmax  150 hp

FL  W  4000 lbf
2 FL

ft
Vmin  19.1
s

ρ A  CL

The drag force at this speed is

1
2
FD   ρ A  Vmin  CD
2

FD  1680 lbf

Engine thrust required

T  FD

T  1680 lbf

The power required is

P  T Vmin

P  58.5 hp

As the speed increases, the lift will increase such that the lift and weight are still balanced. Therefore:
CD
Pmax 
 W Vmax
CL

Solving for the maximum speed:

Vmax 

Pmax CL

W CD

ft
Vmax  49.1
s

Problem 9.163

Given:

Data on an airfoil

Find:

Maximum payload; power required

[Difficulty: 2]

Solution:
The given data or available data is

ρ  0.00234 

slug
ft

3

L  5  ft

w  7  ft

V  40

Then

A  w L

A  35 ft

The governing equations for steady flight are

W  FL

and

ft
s

CL  0.75

CD  0.19

2

T  FD

where W is the model total weight and T is the thrust
The lift is given by

1
2
FL   ρ A  V  CL
2

W  M  g  FL

The payload is then given by
or

FL  49.1 lbf

M 

FL
g

M  49.1 lb

The drag is given by

1
2
FD   ρ A  V  CD
2

FD  12.4 lbf

Engine thrust required

T  FD

T  12.4 lbf

The power required is

P  T V

P  498

ft  lbf
s

P  0.905 hp

The ultralight model is just feasible: it is possible to find an engine that can produce about 1 hp that weighs less than about 50 lb.

Problem 9.164

[Difficulty: 3]

Given:

Data on F-16 fighter

Find:

Minimum speed at which pilot can produce 5g acceleration; flight radius, effect of altitude on results

Solution:
The given data or available data is

ρ  0.00234 

slug
ft

3

A  300  ft

2

CL  1.6

W  26000  lbf

At 5g acceleration, the corresponding force is:
FL  5  W  130000 lbf
The minimum velocity corresponds to the maximum lift coefficient:
Vmin 

2  FL
ρ A CL

 481 

ft

ft
Vmin  481 
s

s

To find the flight radius, we perform a vertical force balance:

β  90 deg  asin 

FL sin ( 90 deg  β)  W  0

Now set the horizontal force equal to the centripetal acceleration:

W

  78.5 deg
 FL 

W
FL cos ( 90 deg  β) 
a
g c
ac  g 

FL
W

 cos ( 90 deg  β)

ac  157.6

ft
s

2

The flight radius corresponding to this acceleration is:

R 

As altitude increases, the density decreases, and both the velocity and radius will increase.

Vmin
ac

R  1469 ft

2

Problem 9.165

Given:

Data on an airfoil

Find:

Maximum payload; power required

[Difficulty: 3]

Solution:
V  40

The given data or available data is

Then the area is

A  b c

and the aspect ratio is

ar 

ft
s

ρ  0.00234 

slug
ft

A  35.00  ft

b

3

c  5  ft

b  7  ft

2

ar  1.4

c

The governing equations for steady flight are
W  FL

and

T  FD

where W is the model total weight and T is the thrust
CL  1.2

At a 10o angle of attack, from Fig. 9.17

CDi  0.010

where CDi is the section drag coefficient
The wing drag coefficient is given by Eq. 9.42

The lift is given by

2

CD  CDi 
π ar

1
2
FL   ρ A V  CL
2

CD  0.337
FL  78.6 lbf

W  M  g  FL

The payload is then given by
M 

or

CL

FL

M  78.6 lb

g

The drag is given by

1
2
FD   ρ A V  CD
2

Engine thrust required

T  FD

The power required is

P  T V

FD  22.1 lbf
T  22.1 lbf
P  1.61 hp

NOTE: Strictly speaking we have TWO extremely stubby wings, so a recalculation of drag effects (lift is unaffected) gives
b  3.5 ft
and

A  b c

2.00

A  1.63 m

ar 

b
c

c  5.00 ft
ar  0.70

CL

2

CD  CDi 
π ar

so the wing drag coefficient is

The drag is

1
2
FD  2   ρ A V  CD
2

Engine thrust is

T  FD

The power required is

P  T V

CD  0.665
FD  43.6 lbf

T  43.6 lbf
P  3.17 hp

In this particular case it would seem that the ultralight model makes more sense - we need a smaller engine and smaller lift
requirements. However, on a per unit weight basis, the motor required for this aircraft is actually smaller. In other words, it should
probably be easier to find a 3.5 hp engine that weighs less than 80 lb (22.9 lb/hp) than a 1 hp engine that weighs less than 50 lb (50
lb/hp).

Problem 9.166

[Difficulty: 3]

Given:

Data on a light airplane

Find:

Angle of attack of wing; power required; maximum "g" force

Solution:
The given data or available data is

ρ = 1.23⋅
V = 63⋅

m
s

The governing equations for steady flight are

kg
3

2

M = 1000⋅ kg

A = 10⋅ m

CL = 0.72

CD = 0.17

W = M ⋅ g = FL

T = FD

m

where W is the weight T is the engine thrust
The lift coeffcient is given by

1
2
FL = ⋅ ρ⋅ A⋅ V ⋅ Cd
2

Hence the required lift coefficient is

CL =

M⋅ g
1
2

2

⋅ ρ⋅ A⋅ V

From Fig 9.17, for at this lift coefficient

α = 3 ⋅ deg

and the drag coefficient at this angle of attack is

CD = 0.0065

CL = 0.402

(Note that this does NOT allow for aspect ratio effects on lift and drag!)
Hence the drag is

1
2
FD = ⋅ ρ⋅ A⋅ V ⋅ CD
2

FD = 159 N

and

T = FD

T = 159 N

The power required is then

P = T⋅ V

P = 10⋅ kW

The maximum "g"'s occur when the angle of attack is suddenly increased to produce the maximum lift
From Fig. 9.17

CL.max = 1.72
1
2
FLmax = ⋅ ρ⋅ A⋅ V ⋅ CL.max
2

The maximum "g"s are given by application of Newton's second law
M ⋅ aperp = FLmax
where a perp is the acceleration perpendicular to the flight direction

FLmax = 42⋅ kN

Hence

In terms of "g"s

aperp =

aperp
g

FLmax

aperp = 42

M

m
2

s

= 4.28

Note that this result occurs when the airplane is banking at 90 o, i.e, when the airplane is flying momentarily in a
circular flight path in the horizontal plane. For a straight horizontal flight path Newton's second law is
M ⋅ aperp = FLmax − M ⋅ g

Hence

In terms of "g"s

aperp =

aperp
g

FLmax
M

= 3.28

−g

aperp = 32.2

m
2

s

Problem 9.167

[Difficulty: 3]

Given:

Data on a light airplane

Find:

Cruising speed achieved using a new airfoil design

Solution:
V  150  mph  220.00

The given data or available data is

Then the area is

A  b c

and the aspect ratio is

ar 

ft

ρ  0.00234 

s

ft

A  192.50 ft

b

slug
3

c  5.5 ft

b  35 ft

2

ar  6.36

c

The governing equations for steady flight are
W  FL

and

T  FD

where W is the total weight and T is the thrust
CL  0.3

For the NACA 23015 airfoil:

CDi  0.0062

where CDi is the section drag coefficient
The wing drag coefficient is given by Eq. 9.42

The drag is given by

1
2
FD   ρ A V  CD
2

Engine thrust required

T  FD

The power required is

P  T V

The wing drag coefficient is given by Eq. 9.42

P

1

3

 ρ A V  CD
2

2

CD  CDi 
π ar

T  116.7  lbf
P  46.66  hp
CDi  0.0031
CL

2

CD  CDi 
π ar
3

so the new speed is:

CD  0.011
FD  116.7  lbf

CL  0.2

For the NACA 66 2-215 airfoil:

The power is:

CL

Vnew 

2 P
ρ A CD

3

CD  5.101  10

ft
Vnew  282 
s

Vnew  192.0  mph

Problem 9.168

Given:

Data on an airfoil

Find:
Solution:

Maximum payload; power required

The given data or available data is

Vold  150  mph ρ  0.00234 

[Difficulty: 3]

slug
ft

3

A  192.5  ft

2

35
arold 
5.5

Assuming the old airfoil operates at close to design lift, from Fig. 9.19 CL  0.3 CDi  0.0062
CL

2

Then

CDold  CDi 
π arold

The new wing aspect ratio is

arnew  8

Hence

The power required is

CL

CDold  0.0107

2

CDnew  CDi 
π arnew

CDnew  0.00978

1
2
P  T V  FD V   ρ A V  CD V
2

If the old and new designs have the same available power, then
1
2
2
 ρ A Vnew  CDnew Vnew   ρ A Vold  CDold Vold
2
2
1

3

or

CDold
Vnew  Vold
CDnew

ft
Vnew  227 
s

arold  6.36

(CDi is the old airfoil's
section drag coefficient)

Problem 9.169

[Difficulty: 3]

Problem 9.170

Given:

Aircraft in circular flight

Find:

Drag and power

[Difficulty: 3]

Solution:
Basic equations:

CD 

FD
1

CL 

2

 ρ A V

2
The given data or available data are

ρ  0.002377

FL
1
2

slug
ft

2

 ρ A V

R  3250 ft

3

V  150  mph

V  220 

ft

P  FD V



Σ F  M  a

M  10000  lbm

M  311  slug

A  225  ft

s

2

ar  7

Assuming the aircraft is flying banked at angle β, the vertical force balance is
FL cos( β)  M  g  0

or

1
2

2

 ρ A V  CL cos( β)  M  g

(1)

The horizontal force balance is
2

M V
FL sin( β)  M  ar  
R

or

1

2

2

 ρ A V  CL sin( β) 
2

Then from Eq 1

M g
FL 
cos( β)

Hence

CL 

2

V

R g

β  24.8 deg

4

FL  1.10  10  lbf

FL
1

tan( β) 

(2)

R

 V2 

β  atan
 R g 

2

Equations 1 and 2 enable the bank angle β to be found

M V

2

 ρ A V

CL  0.851
CL

For the section, CDinf  0.0075 at CL  0.851 (from Fig. 9.19), so

2

CD  CDinf 
π ar

Hence

CD
FD  FL
CL

FD  524  lbf

The power is

P  FD V

P  1.15  10 

5 ft lbf

s

P  209  hp

CD  0.040

Problem 9.171

[Difficulty: 4]

Given:

Aircraft in circular flight

Find:

Maximum and minimum speeds; Drag and power at these extremes

Solution:
Basic equations:

FD

CD 

1

CL 

2

 ρ A V

2
The given data or available data are

ρ  0.002377

1
2

slug
ft

A  225  ft

FL
2

 ρ A V

R  3250 ft

3

2

P  FD V



Σ F  M  a

M  10000  lbm

M  311  slug

ar  7

The minimum velocity will be when the wing is at its maximum lift condition. From Fig . 9. 17 or Fig. 9.19
CL  1.72

CDinf  0.02

where CDinf is the section drag coefficient
CL

2

CD  CDinf 
π ar

The wing drag coefficient is then

CD  0.155

Assuming the aircraft is flying banked at angle β, the vertical force balance is
FL cos( β)  M  g  0

or

1

2

1

2

 ρ A V  CL cos( β)  M  g
2

(1)

The horizontal force balance is
2

M V
FL sin( β)  M  ar  
R

or

 ρ A V  CL sin( β) 
2

2

M V

(2)

R

Equations 1 and 2 enable the bank angle β and the velocity V to be determined
2

2

M V

2
R
M g
2
2 
 
 1
sin( β)  cos( β) 


 1

1
2
2

ρ

A

V

C

ρ

A

V

C

 2
L
L

 2


2

or

R

2

4

M V
2

 M g 

4

2

4

ρ  A  V  CL

2 2

2

4

2 2

M g

V 

2

2

ρ  A  CL
4
2

tan( β) 

V

R g

V  149 

2



M
R

2

ft
s

V  102  mph

2

 V2 

 R g 

β  atan

β  12.0 deg

The drag is then

1
2
FD   ρ A V  CD
2

FD  918  lbf
5 ft lbf

P  FD V

The power required to overcome drag is

P  1.37  10 

P  249  hp

s

The analysis is repeated for the maximum speed case, when the lift/drag coefficient is at its
minimum value. From Fig. 9.19, reasonable values are
CL  0.3

corresponding to α = 2 o (Fig. 9.17)

47.6
CL

2

CD  CDinf 
π ar

The wing drag coefficient is then
4

From Eqs. 1 and 2

CL

CDinf 

2 2

M g

V 

2

2

ρ  A  CL

V  ( 309.9  309.9i) 

2



4

M

2

CD  0.0104
ft
s

Obviously unrealistic (lift is just too
low, and angle of attack is too low
to generate sufficient lift)

2

R
We try instead a larger, more reasonable, angle of attack
CL  0.55

CL

The wing drag coefficient is then
4

From Eqs. 1 and 2

2

2

CD  0.0203

m

V  204  mph

4

V  91.2

2



2

tan( β) 

V

R g

1
2
FD   ρ A V  CD
2

The power required to overcome drag is

M
R

2

2

CD  CDinf 
π ar
2 2

M g

V 

ρ  A  CL

The drag is then

corresponding to α = 4 o (Fig. 9.17)

CDinf  0.0065

s

2

 V2 

 R g 

β  atan

β  40.6 deg

FD  485  lbf
P  FD V

5 ft lbf

P  1.45  10 

s

P  264  hp

Problem 9.172

[Difficulty: 3]

Problem 9.173

[Difficulty: 4]

Problem 9.174

[Difficulty: 5] Part 1/2

Problem 9.174

[Difficulty: 5] Part 2/2

Problem 9.175

Given:

Car spoiler

Find:

Whether they are effective

[Difficulty: 4]

Solution:
To perform the investigation, consider some typical data
For the spoiler, assume

b  4 ft

c  6 in

ρ  1.23

kg
3

A  b c

m
From Fig. 9.17 a reasonable lift coefficient for a conventional airfoil section is
Assume the car speed is

V  55 mph

Hence the "negative lift" is

1
2
FL   ρ A  V  CL
2

CL  1.4

FL  21.7 lbf

This is a relatively minor negative lift force (about four bags of sugar); it is not likely to produce a noticeable
difference in car traction
The picture gets worse at 30 mph:

FL  6.5 lbf

For a race car, such as that shown on the cover of the text, typical data might be
b  5  ft
In this case:

c  18 in

A  b c

FL  1078 lbf

Hence, for a race car, a spoiler can generate very significant negative lift!

A  7.5 ft

2

V  200  mph

A  2 ft

2

Problem 9.176

[Difficulty: 5]

Problem 9.177

[Difficulty: 5]

Problem 9.178

[Difficulty: 2]

Problem 9.179

[Difficulty: 5]

Problem 9.180

Given:

Data on rotating cylinder

Find:

Lift force on cylinder

[Difficulty: 2]

Solution:
CL =

Basic equations:

FL
1
2

The given or available data is

2

⋅ ρ⋅ A⋅ V

ρ = 1.21⋅

kg
3

2
−5 m

ν = 1.50⋅ 10

⋅

m
The spin ratio is:

The area is

ω⋅ D
2⋅ V

= 0.419

s

L = 30⋅ cm

D = 5 ⋅ cm

ω = 240 ⋅ rpm

V = 1.5⋅

m
s

From Fig. 9.29, we can estimate the maximum lift coefficient: CL = 1.0
2

A = D⋅ L = 0.015 m

Therefore, the lift force is:

1
2
FL = ⋅ CL⋅ ρ⋅ A⋅ V
2

FL = 0.0204 N

Problem 9.181

[Difficulty: 2]

Problem 9.182

Given:
Find:

[Difficulty: 2]

Data on original Flettner rotor ship
Maximum lift and drag forces, optimal force at same wind speed, power requirement

Solution:
CL 

Basic equations:

FL
1
2

The given or available data is

2

 ρ A V

ρ  0.00234 

slug
ft

ν  1.62  10
The spin ratio is:

The area is

ω D
2 V

 9.52

A  D L  500  ft

L  50 ft

3

 4 ft



D  10 ft

ω  800  rpm

V  30 mph  44

ft
s

2

s

From Fig. 9.29, we can estimate the lift and drag coefficients: CL  9.5 CD  3.5
2

Therefore, the lift force is:

1
2
FL   CL ρ A V
2

FL  1.076  10  lbf

The drag force is:

1
2
FD   CD ρ A V
2

FD  3.964  10  lbf

This appears to be close to the optimum L/D ratio. The total force is:

F 

2

4

3

2

4

FL  FD

To determine the power requirement, we need to estimate the torque on the cylinder.

F  1.147  10  lbf

T  τ A R  τ π L D

D
2

2



π τ D  L
2

In this expression τ is the average wall shear stress. We can estimate this stress using the flat plate approximation:
D

 V  ω 2   D

  2.857  107
Re 
ν

τ

FD
A

τ 

1

2

For a cylinder at this Reynolds number: CD  0.003 Therefore, the shear stress is:

 ρ V  CD  6.795  10
2

 3 lbf



ft

2

2

So the torque is:

T 

π τ D  L
2

The power is: P  T ω  4471

 53.371 ft lbf

ft lbf
s

P  8.13 hp

Problem 9.183

[Difficulty: 4]

x

R

L



Given:

Baseball pitch

Find:

Spin on the ball

Solution:
Basic equations:

1
2

The given or available data is



Σ F  M  a

FL

CL 

2

 ρ A V

ρ  0.00234 

slug
ft

M  5  oz
Compute the Reynolds number

C  9  in

ν  1.62  10

3

D 



2

L  60 ft

s
2

C

D  2.86 in

π

V D

Re 

 4 ft

Re  1.73  10

ν

A 

π D

2

A  6.45 in

4

V  80 mph

5

This Reynolds number is slightly beyond the range of Fig. 9.27; we use Fig. 9.27 as a rough estimate
The ball follows a trajectory defined by Newton's second law. In the horizontal plane ( x coordinate)
2

V
FL  M  aR  M  ax  M 
R

1
2
FL   ρ A V  CL
2

and

where R is the instantaneous radius of curvature of the trajectory
From Eq 1 we see the ball trajectory has the smallest radius (i.e. it curves the most) when C L is as large as
possible. From Fig. 9.27 we see this is when CL  0.4
Solving for R

Also, from Fig. 9.27

Hence
From the trajectory geometry

R 
ω D
2 V

2 M

(1)

CL A ρ
 1.5

ω  1.5

to

2 V
D

x  R cos( θ)  R

Solving for x

x  R  R 1 

L
 
 R

2 V

 1.8

ω  1.8

where

sin( θ) 

2

x  R 1 

ω D

ω  14080  rpm

L  R
 
 R

Hence

R  463.6  ft

2

x  3.90 ft

2 V
D
L
R

defines the best range

ω  16896  rpm

Problem 9.184

[Difficulty: 3]

Problem 9.185

[Difficulty: 4]

x

R

L



Given:

Soccer free kick

Find:

Spin on the ball

Solution:
1
2

2

 ρ A V

ρ  1.21

The given or available data is



Σ F  M  a

FL

CL 

Basic equations:

2
5 m

kg

ν  1.50 10

3



m
M  420  gm

C  70 cm

Compute the Reynolds number

D 

2

C

D  22.3 cm

π

V D

Re 

L  10 m

s

A 

Re  4.46  10

ν

π D
4

5

The ball follows a trajectory defined by Newton's second law. In the horizontal plane ( x coordinate)
2

and

1
2
FL   ρ A V  CL
2

where R is the instantaneous radius of curvature of the trajectory
2 M

Hence, solving for R

R

From the trajectory geometry

x  R cos( θ)  R

Hence

x  R 1 

Solving for R

R 

Hence, from Eq 1

CL 

For this lift coefficient, from Fig. 9.27
Hence

ω D
2 V

L

where

sin( θ) 

2

 R  R
 

 L 2  x 2
2 x
2 M
R A ρ

R  50.5 m
CL  0.353

 1.2

ω  1.2

(And of course, Beckham still kind of rules!)

(1)

CL A ρ

2 V
D

ω  3086 rpm

L
R

2

A  0.0390 m

This Reynolds number is beyond the range of Fig. 9.27; however, we use Fig. 9.27 as a rough estimate

V
FL  M  aR  M  ax  M 
R

x  1 m
V  30

m
s

Problem 10.1

[Difficulty: 2]

Problem 10.2

Given:

Geometry of centrifugal pump

Find:

Estimate discharge for axial entry; Head

[Difficulty: 2]

Solution:
Basic equations:

(Eq. 10.2b)
(Eq. 10.2c)

The given or available data is
ρ  999 

kg
3

r1  10 cm

r2  20 cm

b 1  4  cm

β1  30 deg

β2  15 deg

b 2  4  cm

m

ω  1600 rpm
From continuity

Q
Vn 
 w sin( β)
2  π r b

w

Vn
sin( β)

From geometry

Vn
Q
Vt  U  w cos( β)  U 
 cos( β)  U 
 cot( β)
sin( β)
2  π r b

For an axial entry

Vt1  0

so

Using given data

U1  ω r1

m
U1  16.755
s

Hence

Q  2  π r1  b 1  U1  tan β1

 

Q
U1 
 cot β1  0
2 π r1  b 1

 

3

Q  0.2431

m
s

To find the power we need U 2, Vt2, and m rate
The mass flow rate is

kg
mrate  242.9
s

mrate  ρ Q
m
U2  33.5
s

U2  ω r2

 

Q
Vt2  U2 
 cot β2
2 π r2  b 2





Hence

Wm  U2 Vt2  U1 Vt1  mrate

The head is

H 

Wm
mrate g

m
Vt2  15.5
s
5 J
Wm  1.258  10 
s

Wm  126 kW
H  52.8 m

Problem 10.3

Given:

Data on centrifugal pump

Find:

Estimate basic dimensions

[Difficulty: 2]

Solution:
Basic equations:

(Eq. 10.2b, directly derived from the Euler turbomachine equation)

The given or available data is
ρ  999 

kg
3

3

Q  0.6

m

ω  3000 rpm

3

m

Q  0.0100

min

m
w2  5.4
s
Vt1  0

From the outlet geometry

Vt2  U2  Vrb2 cos β2  U2

Hence, in Eq. 10.2b

Wm  U2  mrate  r2  ω  mrate

with

Wm  η Win

and

mrate  ρ Q

Hence

r2 

From continuity
Hence

s

Win  5 kW

η  72 %

and

U2  r2  ω

β2  90 deg

For an axial inlet

Also

m

 

2

2

2

Wm  3.6 kW
kg
mrate  9.99
s

Wm
2

r2  0.06043  m

 

m
Vn2  5.40
s

mrate ω

Vn2  w2  sin β2
Q
Vn2 
2  π r2  b 2
Q
b2 
2  π r2  Vn2

r2  6.04 cm

3

b 2  4.8776  10

m

b 2  0.488  cm

Problem 10.4

[Difficulty: 2]

Problem 10.5

[Difficulty: 2]

Given:

Geometry of centrifugal pump

Find:

Theoretical head; Power input for given flow rate

Solution:
Basic equations:

(Eq. 10.2b)
(Eq. 10.2c)

The given or available data is
ρ  1.94

slug
ft

3

ω  575  rpm

r1  15 in

r2  45 in

b 1  4.75 in

b 2  3.25 in

β1  40 deg

β2  60 deg

Q  80000  gpm

Q  178 

Q
Vn 
 Vrb sin( β)
2  π r b

From geometry

Vn
Q
Vt  U  Vrb cos( β)  U 
 cos( β)  U 
 cot( β)
sin( β)
2  π r b

Using given data

U1  ω r1

U2  ω r2

 

ft
Vt1  6.94
s

Q
Vt2  U2 
 cot β2
2  π r2  b 2

 

ft
Vt2  210 
s

The mass flow rate is

mrate  ρ Q

slug
mrate  346 
s

Hence

Wm  U2  Vt2  U1  Vt1  mrate

The head is

H 

Wm
mrate g



s

Vrb 
sin( β)

ft
U1  75.3
s



3

Vn

From continuity

Q
Vt1  U1 
 cot β1
2  π r1  b 1

ft

ft
U2  226 
s

7 ft lbf

Wm  1.62  10 

s

4

Wm  2.94  10  hp
H  1455 ft

Problem 10.6

[Difficulty: 2]

Given:

Geometry of centrifugal pump

Find:

Theoretical head; Power input for given flow rate

Solution:
Basic equations:

(Eq. 10.2b)
(Eq. 10.2c)

The given or available data is
ρ  1.94

slug
ft

3

ω  1250 rpm

r1  3  in

r2  9.75 in

b 1  1.5 in

b 2  1.125  in

β1  60 deg

β2  70 deg

Q  1500 gpm

Q  3.34

Q
Vn 
 Vrb sin( β)
2  π r b

From geometry

Vn
Q
Vt  U  Vrb cos( β)  U 
 cos( β)  U 
 cot( β)
sin( β)
2  π r b

Using given data

U1  ω r1

U2  ω r2

 

ft
Vt1  22.9
s

Q
Vt2  U2 
 cot β2
2  π r2  b 2

 

ft
Vt2  104 
s

The mass flow rate is

mrate  ρ Q

slug
mrate  6.48
s

Hence

Wm  U2  Vt2  U1  Vt1  mrate

The head is

H 

Wm
mrate g



s

Vrb 
sin( β)

ft
U1  32.7
s



3

Vn

From continuity

Q
Vt1  U1 
 cot β1
2  π r1  b 1

ft

Wm  66728 

ft
U2  106.4 
s

ft lbf
s

Wm  121  hp
H  320  ft

Problem 10.7

[Difficulty: 2]

Given:

Geometry of centrifugal pump

Find:

Rotational speed for zero inlet velocity; Theoretical head; Power input

Solution:
Basic equations:

(Eq. 10.2b)
(Eq. 10.2c)

The given or available data is
ρ  1.94

slug
ft

3

r1  3  in

r2  9.75 in

b 1  1.5 in

b 2  1.125 in

β1  60 deg

β2  70 deg

Q  4000 gpm

Q  8.91

Q
Vn 
 Vrb sin( β)
2  π r b

From geometry

Vn
Q
Vt  U  Vrb cos( β)  U 
 cos( β)  U 
 cot( β)
2  π r b
sin( β)

For Vt1  0 we get

Q
U1 
 cot β1  0
2  π r1  b 1

Hence, solving for ω

ω 

Q
2

2  π r1  b 1
We can now find U2

or

 

ω r1 
ω  105 

Q
2  π r1  b 1

ω  1001 rpm

s

ft
U2  85.2
s

 

ft
Vt2  78.4
s

The mass flow rate is

mrate  ρ Q

slug
mrate  17.3
s

Hence Eq 10.2b becomes

Wm  U2  Vt2 mrate

Wm  1.15  10 

H 

Wm
mrate g

 

 cot β1  0

rad

Q
Vt2  U2 
 cot β2
2  π r2  b 2

The head is

s

Vrb 
sin ( β)

 cot β1

U2  ω r2

3

Vn

From continuity

 

ft

5 ft lbf

s

Wm  210  hp
H  208  ft

Problem 10.8

[Difficulty: 2]

Given:

Geometry of centrifugal pump

Find:

Theoretical head; Power input for given flow rate

Solution:
Basic equations:

(Eq. 10.2b)
(Eq. 10.2c)

The given or available data is
ρ  1000

kg
3

r2  7.5 cm

m

ω  1750 rpm

b 2  2 cm

β2  65 deg

3

Q  225 

3

m

Q  0.0625

hr

m
s

From continuity

Q
Vn2 
2  π r2  b 2

m
Vn2  6.63
s

From geometry

Vn2
Vt2  U2  Vrb2 cos β2  U2 
 cos β2
sin β2

Using given data

U2  ω r2

Hence

Q
Vt2  U2 
 cot β2
2  π r2  b 2

m
Vt2  10.7
s

The mass flow rate is

mrate  ρ Q

kg
mrate  62.5
s

Hence

Wm  U2  Vt2 mrate

The head is

H 

 

 

m
U2  13.7
s

 

Wm
mrate g

 

Vt1  0

(axial inlet)

Wm  9.15 kW
H  14.9 m

Problem 10.9

[Difficulty: 2]

Problem 10.10

[Difficulty: 2]

Given:

Geometry of centrifugal pump

Find:

Draw inlet and exit velocity diagrams; Inlet blade angle; Power

Solution:
Q
Vn 
2  π r b

Basic equations:
The given or available data is
R1  1  in

R2  7.5 in

b 2  0.375  in

Q  800  gpm

Q  1.8

U1  ω R1

ft
U1  17.5
s

U2  ω R2

ft
U2  131
s

Q
Vn2 
2  π R 2  b 2

ft
Vn2  14.5
s

R2
Vn1 
V
R1 n2

ft
Vn1  109
s

ρ  1.94

slug
ft

Velocity diagrams:

3

ft

ω  2000 rpm

3

β2  75 deg

s

Vt2

Vrb1

V n1 = V1 (Vt1 = 0)

Vrb2

2

1

V2

2

Vn2
U2

U1
Then

 Vn1 
β1  atan

 U1 

From geometry

Vt1  U1  Vn1 cos β1

Then

Wm  U2  Vt2  U1  Vt1  ρ Q



 


β1  80.9 deg

(Essentially radial entry)

ft
Vt1  0.2198
s

Vt2  U2  Vn2 cos β2

 

4 ft lbf

Wm  5.75  10 

s

ft
Vt2  127.1 
s
Wm  105  hp

Problem 10.11

[Difficulty: 3]

Given:

Geometry of centrifugal pump

Find:

Shutoff head; Absolute and relative exit velocitiesTheoretical head; Power input

Solution:
Basic equations:

(Eq. 10.2b)
(Eq. 10.2c)

The given or available data is
kg
ρ  999 
3
m
ω  1800 rpm

R1  2.5 cm

R2  18 cm

b 2  1  cm

3

β2  75 deg

Q  30

m

min

3

Q  0.500 

m
s

m

At the exit

U2  ω R2

U2  33.9
s

At shutoff

Vt2  U2

m
Vt2  33.9
s

At design. from continuity

Q
Vn2 
2  π R 2  b 2

m
Vn2  44.2
s

From the velocity diagram

Vn2  w2  sin β2

Vn2
w2 
sin β2

 
 

V2 

with

 Vt2 
α2  atan

 Vn2 

For Vt1  0 we get

Wm  U2  Vt2 ρ Q  374 kW

H0  117  m

m
Vt2  22.1
s
m
V2  49.4
s

2

Hence we obtain



m
w2  45.8
s

 

Vt2  U2  Vn2 cot β2
2



1
H0   U2  Vt2
g

Vn2  Vt2

α2  26.5 deg
H 

Wm
ρ Q g

 76.4 m

Problem 10.12

[Difficulty: 3]

Problem 10.13

[Difficulty: 2]

Given:

Geometry of centrifugal pump

Find:

Inlet blade angle for no tangential inlet velocity at 125,000 gpm; Head; Power

Solution:
Basic equations:

(Eq. 10.2b)
(Eq. 10.2c)

The given or available data is
ρ  1.94

slug
ft

3

ω  575  rpm

r1  15 in

r2  45 in

b 1  4.75 in

β2  60 deg

Q  125000 gpm

Q  279 

ft

3

s

Vn
Vrb 
sin( β)

From continuity

Q
Vn 
 Vrb sin( β)
2  π r b

From geometry

Vn
Q
Vt  U  Vrb cos( β)  U 
 cos( β)  U 
 cot( β)
sin( β)
2  π r b

For Vt1  0 we obtain

Q
U1 
 cot β1  0
2  π r1  b 1

Using given data

U1  ω r1

Hence

β1  acot

Also

U2  ω r2

 

b 2  3.25 in

or

 

cot β1 

2  π r1  b 1  U1
Q

ft
U1  75.3
s

 2 π r1 b 1 U1 

Q



β1  50 deg

ft
U2  226 
s

 

Q
Vt2  U2 
 cot β2
2  π r2  b 2

ft
Vt2  201 
s

The mass flow rate is

mrate  ρ Q

slug
mrate  540 
s

Hence

Wm  U2  Vt2  U1  Vt1  mrate

The head is



H 

Wm
mrate g



7 ft lbf

Wm  2.45  10 

s

Wm  44497  hp
H  1408 ft

Problem 10.14

[Difficulty: 3]

Problem 10.15

Given:

Data on a centrifugal pump

Find:

Estimate exit angle of impeller blades

[Difficulty: 3]

Solution:
The given or available data is

ρ  999 

kg
3

Q  50

m

ω  1750 rpm

L

Win  45 kW

s

b 2  10 mm

η  75 %

D  300 mm

The governing equation (derived directly from the Euler turbomachine
equation) is
Wm
Vt2 
U2 ρ Q

For an axial inlet

Vt1  0

hence

We have

D
U2   ω
2

m
U2  27.5
s

Hence

Wm
Vt2 
U2  ρ Q

m
Vt2  24.6
s

From continuity

Q
Vn2 
π D b 2

m
Vn2  5.31
s

an
d

Wm  η Win

Wm  33.8 kW

With the exit velocities determined, β can be determined from exit geometry
tan( β) 

Vn2
U2  Vt2

or



 U2  Vt2 


β  atan

Vn2

β  61.3 deg

Problem 10.16

[Difficulty: 3]

Given:

Data on a centrifugal pump

Find:

Flow rate for zero inlet tangential velocity; outlet flow angle; power; head
developed

Solution:
The given or available data is

ρ  999 

kg
3

ω  1200 rpm

η  70 %

β1  25 deg

r2  150  mm

m
r1  90 mm

b 1  10 mm

b 2  7.5 mm

β2  45 deg

The governing equations (derived directly from the Euler turbomachine equation) are

We also have from geometry

 Vt2 
α2  atan

 Vn2 

From geometry

Vn1
Vt1  0  U1  Vrb1 cos β1  r1  ω  
 cos β1
sin β1

and from continuity

Q
Vn1 
2  π r1  b 1

Hence

(1)

 

Q
r1  ω 
0
2  π r1  b 1  tan β1

 

 

2

 

Q  2  π r1  b 1  ω tan β1

 

Q  29.8

L
s

3

Q  0.0298

The power, head and absolute angle α at the exit are obtained from direct computation using Eqs. 10.2b, 10.2c, and 1 above
U1  r1  ω

m
U1  11.3
s

m
U2  18.8
s

U2  r2  ω

From geometry

Vn2
Vt2  U2  Vrb2 cos β2  r2  ω  
 cos β2
sin β2

and from continuity

Q
Vn2 
2  π r2  b 2

 

 

m
Vn2  4.22
s

 

m
Vt1  0 
s

m
s

Hence

Vn2
Vt2  r2  ω 
tan β2

m
Vt2  14.6
s

Using these results in Eq. 1

 Vt2 
α2  atan

 Vn2 

α2  73.9 deg

Using them in Eq. 10.2b

Wm  U2  Vt2  U1  Vt1  ρ Q

Using them in Eq. 10.2c

H 

 

1
g





Wm  8.22 kW





H  28.1 m

 U2  Vt2  U1  Vt1

This is the power and head assuming no inefficiency; with η = 70%, we have (from Eq. 10.4c)
Wh  η Wm

Wh  5.75 kW

Hp  η H

Hp  19.7 m

(This last result can also be obtained from Eq. 10.4a Wh  ρ Q g  Hp)

Problem 10.17

Given:

Impulse turbibe

Find:

Optimum speed using the Euler turbomachine equation

[Difficulty: 1]

Solution:
The governing equation is the Euler turbomachine equation

In terms of the notation of Example 10.13, for a stationary CV

r1 = r2 = R

U1 = U2 = U

Vt1 = V − U

Vt2 = ( V − U) ⋅ cos( θ)

and

mflow = ρ⋅ Q

Hence

Tshaft = [ R⋅ ( V − U) ⋅ cos( θ) − R⋅ ( V − U) ] ⋅ ρ⋅ Q

Tout = Tshaft = ρ⋅ Q⋅ R⋅ ( V − U) ⋅ ( 1 − cos( θ) )

The power is

Wout = ω⋅ Tout = ρ⋅ Q⋅ R⋅ ω⋅ ( V − U) ⋅ ( 1 − cos( θ) )

Wout = ρ⋅ Q⋅ U⋅ ( V − U) ⋅ ( 1 − cos( θ) )

These results are identical to those of Example 10.13. The proof that maximum power is when U = V/2 is hence also the same
and will not be repeated here.

Problem 10.18

Given:

Data on centrifugal pump

Find:

Pressure rise; Express as ft of water and kerosene

[Difficulty: 1]

Solution:
Basic equations:

The given or available data is

η

ρ Q g  H
Wm

ρw  1.94

slug
ft

Wm  18 hp

3

Q  350  gpm

H 

For kerosene, from Table A.2

SG  0.82

ft

3

s

η  82 %

η Wm

Solving for H

Q  0.780 

H  166.8  ft

ρw Q g
η Wm
Hk 
SG ρw Q g

Hk  203  ft

Problem 10.19

[Difficulty: 3]

Given:

Geometry of centrifugal pump

Find:

Draw inlet velocity diagram; Design speed for no inlet tangential velocity; Outlet angle; Head; Power

Solution:
Basic equations:

(Eq. 10.2b)
(Eq. 10.2c)

The given or available data is
r1  4  in
ρ  1.94

r2  7  in
slug
ft

3

Velocity diagrams:

b 1  0.4 in

Q  70 cfm

Q  1.167 

b 2  0.3 in

ft

s

V t2

w1

Vn1 = V 1 (Vt1 = 0)

w2

2

V2

2

Vn2
U2

U1
Q
Vn 
 w sin( β)
2  π r b

w

Vn

Vn1

sin( β)

Vn2

From geometry

Vn
Q
Vt  U  Vrb cos( β)  U 
 cos( β)  U 
 cot( β)
sin( β)
2  π r b

For Vt1  0 we obtain

Q
U1 
 cot β1  0
2  π r1  b 1

Solving for ω

ω 

 

Q
2

2  π r1  b 1
Hence

β2  45 deg

3

1

From continuity

β1  20 deg

U1  ω r1

or

ω r1 

Q
2  π r1  b 1

 

ω  138 

ft
U1  45.9
s

U2  ω r2

 cot β1

rad
s



A2
A1



 

 cot β1  0
ω  1315 rpm
ft
U2  80.3
s

r2  b 2
r1  b 1

Q
Vn2 
2  π r2  b 2

From the sketch
Hence

The head is

ft
Vn2  12.73 
s

 Vt2 
α2  atan

 Vn2 

 

Q
Vt2  U2 
 cot β2
2  π r2  b 2

ft
Vt2  67.6
s

α2  79.3 deg
Wm  U2  Vt2 ρ Q
H 

Wm
ρ Q g

4 ft lbf

Wm  1.230  10 

s

Wm  22.4 hp
H  169  ft

Problem 10.20

[Difficulty: 4]

Given:

Geometry of centrifugal pump with diffuser casing

Find:

Flow rate; Theoretical head; Power; Pump efficiency at maximum efficiency point

Solution:
Basic equations:

(Eq. 10.2b)
(Eq. 10.2c)

The given or available data is
ρ  1000

kg
3

r2  7.5 cm

b 2  2 cm

β2  65 deg

m

ω  1750 rpm

ω  183 

rad
s

Using given data

U2  ω r2

Illustrate the procedure with

Q  0.065 

m
U2  13.7
s
3

m
s

From continuity

Q
Vn2 
2  π r2  b 2

m
Vn2  6.9
s

From geometry

Vn2
Vt2  U2  Vrb2 cos β2  U2 
 cos β2
sin β2

Hence

Q
Vt2  U2 
 cot β2
2  π r2  b 2

 

 

 

 

V2 

2

m
Vt2  10.5
s
m
V2  12.6
s

2

Vn2  Vt2

Hideal 

U2  Vt2

Hideal  14.8 m

g

Tfriction  10 %

Vt1  0

Wmideal

Tfriction  10 %

ω

 10 %

Q ρ g  Hideal
ω

ρ Q Hideal
ω
Tfriction  5.13 N m

(axial inlet)

V2

2

2

Vn2

Hactual  60 %
 0.75
2 g
2 g

η 

Q ρ g  Hactual
Q ρ g  Hideal  ω Tfriction

Hactual  3.03 m

η  18.7 %

25

Efficiency (%)

20
15
10
5

0

0.02

0.04

0.06

0.08

0.1

Q (cubic meter/s)
The above graph can be plotted in Excel. In addition, Solver can be used to vary Q to maximize η. The results are
3

Q  0.0282

m
s

Wm  Q ρ g  Hideal  ω Tfriction

η  22.2 %

Hideal  17.3 m
Wm  5.72 kW

Hactual  4.60 m

Problem 10.21

[Difficulty: 4]

Problem 10.22

[Difficulty: 2]

Problem 10.23

[Difficulty: 2]

Problem 10.24

[Difficulty: 3]

Given:

Data on suction pump

Find:

Plot of performance curves; Best effiiciency point

Solution:
ηp 

Basic equations:

ρ = 1.94 slug/ft

Ph

Ph  ρ Q g  H

Pm

3

(Note: Software cannot render a dot!)

Fitting a 2nd order polynomial to each set of data we find
2

H =-0.00759Q + 0.390Q + 189.1
Q (cfm) H (ft) P m (hp) P h (hp) η (%)
36
50
74
88
125

190
195
176
162
120

25
30
35
40
46

12.9
18.4
24.6
27.0
28.4

η =-6.31x10 Q + 0.01113Q + 0.207
-5

51.7%
61.5%
70.4%
67.4%
61.7%

2

Finally, we use Solver to maximize η by varying Q :
Q (cfm)

H (ft)

η (%)

88.2

164.5

69.8%

Pump Performance Curve
250

100%

H
BEP

200

η

75%

50%
100

25%
50

0

0%
0

20

40

60

80
Q (cfm)

100

120

140

η (%)

H (ft)

150

Problem 10.25

[Difficulty: 3]

Given:

Data on suction pump

Find:

Plot of performance curves; Best effiiciency point

Solution:
ηp 

Basic equations:

ρ = 1.94 slug/ft

Ph

Ph  ρ Q g  H

Pm

3

Ns 

N Q
( g  H)

(Note: Software cannot render a dot!)

0.75

Fitting a 2nd order polynomial to each set of data we find
-5

2

-4

H =-1.062x10 Q + 6.39x10 Q + 22.8
Q (cfm) H (ft) P m (hp) P h (hp) η (%)
0
200
400
600
800
1000

23.0
22.3
21.0
19.5
17.0
12.5

15.2
17.2
24.4
27.0
32.2
36.4

0.0
8.4
15.9
22.1
25.7
23.6

η =-1.752x10 Q + 0.00237Q + 0.0246
-6

0.0%
49.0%
65.1%
82.0%
79.9%
65.0%

2

Finally, we use Solver to maximize η by varying Q :

Q (cfm)

H (ft)

η (%)

676

18.4

82.6%

Pump Performance Curve
100%

25

H

BEP
η

20

75%

50%
10

25%
5

0

0%
0

200

400

600

800

1000

Q (cfm)

The Specific Speed for this pump is:

2.639

1200

η (%)

H (ft)

15

Problem 10.26

[Difficulty: 3]

Given:

Data on axial flow fan

Find:

Volumetric flow rate, horsepower, flow exit angle

Solution:
Basic equations:

(Eq. 10.2b)
(Eq. 10.2c)

The given or available data is
ρ  0.002377

slug
ft

3

ω  1350 rpm

d tip  3  ft

The mean radius would be half the mean diameter:

Therefore, the blade speed is:

U  r ω

d root  2.5 ft

r 

U  194.39

1 d tip  d root

2
2

U

 

Vn1  V1  cos α1

So the entrance velocity components are:

The volumetric flow rate would then be:
Since axial velocity does not change:

The exit speed relative to the blade is:

 

Vt2  U  w2  cos β2

The flow exit angle is:

 
 

 

β2  60 deg

r  1.375  ft

s

 
 
V1  sin α1   w1  cos β1   U
V1  cos α1  w1  sin β1

ft
V1  107.241 
s

cos α1
sin α1 
tan β1

β1  30 deg

ft

From velocity triangles we can generate the following two equations:

Combining the two equations: V1 

α1  55 deg

 
 

cos α1
w1  V1 
sin β1

ft
Vn1  61.511
s

(axial component)
(tangential component)
ft
w1  123.021 
s

 

Vt1  V1  sin α1

2
2
Q  Vn1   d tip  d root 


4

π

ft
Vt1  87.846
s
Q  132.9 

ft

3

s

Vn2  Vn1
Vn2
w2 
sin β2

ft
Vt2  158.873 
s

 Vt2 
α2  atan

 Vn2 

 

ft
so the tangential component of absolute velocity is:
w2  71.026
s

Into the expression for power:





Wm  U Vt2  Vt1  ρ Q

Wm  7.93 hp

α2  68.8 deg

Problem 10.27

[Difficulty: 2]

Problem 10.28

Given:

Data on centrifugal pump

Find:

Electric power required; gage pressure at exit

[Difficulty: 3]

Solution:
Basic equations:

(Eq. 10.8a)

(Eq. 10.8b)

(Eq. 10.8c)

The given or available data is
ρ  1.94

slug
ft

3

T  4.75 lbf  ft

ηp  75 %

ηe  85 %

Q  65 gpm

Q  0.145 

p 1  12.5 psi

z1  6.5 ft

ft
V1  6.5
s

z2  32.5 ft

ft
V2  15
s

From Eq. 10.8c

ω T ηp
Hp 
ρ Q g

Hence, from Eq. 10.8b

ρ
2
2
p 2  p 1    V1  V2   ρ g  z1  z2  ρ g  Hp

2 

p 2  53.7 psi

Also

Wh  ρ g  Q Hp

Wh  1119

The shaft work is then

Hence, electrical input is

ft

ω  3000 rpm

s

Hp  124  ft



Wh
Wm 
ηp
Wm
We 
ηe

3



ft lbf
s

Wm  1492
We  1756

ft lbf
s

ft lbf
s

Wh  2.03 hp
Wm  2.71 hp
We  2.38 kW

Problem 10.29

[Difficulty: 2]

Problem 10.30

[Difficulty: 2]

Problem 10.31

[Difficulty: 2]

Given:

Data on small centrifugal pump

Find:

Specific speed; Sketch impeller shape; Required power input

Solution:
Basic equation:

(Eq. 7.22a)

(Eq. 10.3c)

The given or available data is
ρ  1000

kg
3

3

ω  2875 rpm

ηp  70 %

m

Q  0.016 

m
s

2

Hence

h  g H

h  392
1

Then

NS 

ω Q

(H is energy/weight. h is energy/mass)

2

s

2

3

h

m

NS  0.432

4

From the figure we see the impeller will be centrifugal

The power input is (from Eq. 10.3c)

Wh
Wm 
ηp

Wm 

ρ Q g  H
ηp

Wm  8.97 kW

H  40 m

Problem 10.32

[Difficulty: 2]

Problem 10.33

[Difficulty: 3]

Given:

Data on a pump

Find:

Shutoff head; best efficiency; type of pump; flow rate, head, shutoff head and power at 900 rpm

Solution:
The given or available data is
ρ  999 

3

kg

Ns  1.74

3

D  500  mm

Q  0.725

m

H  10 m

s

m

Wm  90 kW

ω'  900 rpm

1

Wh  ρ Q g  H

The governing equations are

ω Q

Ns 

Q1
ω1  D1

3

Q2



h1

ω2  D2

3

2

ω1  D1

2

H0  C1 

3

h
Similarity rules:

2

2

P1

2

ω2  D2

g

4

h2



U2

2

3

ρ1  ω1  D1

5

P2



3

ρ2  ω2  D2

5

3

h  g  H  98.1

J

Ns h

ω 

Hence

kg

ω  63.7

1

Q

H0 

The shutoff head is given by

4

rad

Wh  ρ Q g  H  71.0 kW

s

Wh

ηp 

Wm

 78.9 %

2

U2

2

D

m

U2   ω
2

g

U2  15.9
s

H0 

Hence

U2
g

2

H0  25.8 m

with D1 = D2:
Q1
ω1



Q2

Q

or

ω2

ω



Q'

Q'  Q

ω'

H0

Also

2

ω
P1
ρ ω1

3



P2
ρ ω2



ω

3

 1.073

m
s

H'0

h1
ω1

2



h2
ω2

 

2

Wm
3

ω



W' m
3

ω'

or

2

ω'
H'0  H0   
ω

ω'

or
3

ω'

H
2



ω

H'
2

ω'

H'  H 

H'0  56.6 m

 

2

  21.9 m
 ω

2

ω'
W' m  Wm  
ω

ω' 

3

W' m  292  kW

Problem 10.34

[Difficulty: 3]

Given:

Data on a pump at BEP

Find:

(a) Specific Speed
(b) Required power input
(c) Curve fit parameters for the pump performance curve.
(d) Performance of pump at 820 rpm

Solution:
The given or available data is
ρ  1.94

slug
ft

3

η  87%

D  16 in

The governing equations are

Ns 

Q  2500 cfm H  140 ft

ω Q
( g  H)

Wh  ρ Q g  H

0.75

ω  1350 rpm
W 

Wh
η

ω'  820 rpm
2

H0 

U2
g

Ns  1.66

The specific speed is:

W  761  hp

The power is:
At shutoff

Since

D
U2   ω
2
2

H  H0  A Q

ft
U2  94.248
s
A 

it follows that

H0 

Therefore:

U2

2

H0  276.1  ft

g

H0  H

2
 5 min

A  2.18  10

2



Q
Another way to write this is:

At BEP: Q'  Q 

ω' 


 ω

At

5

H( ft)  276.1  2.18  10

ω'
H'0  H0   
 ω

ω'  820  rpm

ft
 Q( cfm)

2

2

and

Q'  1519 cfm

A'  A

5

H'0  101.9  ft

Thus:

A'  2.18  10

2
 5 min



ft
H'  H 

ω' 


 ω

5

2

H'  51.7 ft

η'  η  87 %
ω'
Wm  W  
ω

 

3

Wm  170.5  hp

Problem 10.35

Given:

Data on pumping system

Find:

Number of pumps needed; Operating speed

[Difficulty: 3]

Solution:
Wh  ρ Q g  H

Basic equations:

ηp 

Wh
Wm

The given or available data is
kg

3

6 L
Qtotal  110  10 
day

m
Qtotal  1.273
s

Then for the system

Wh  ρ Qtotal g  H

Wh  125  kW

The required total power is

Wh
Wm 
η

Wm  192  kW

ρ  1000

3

m

Hence the total number of pumps must be

The flow rate per pump will then be Q 

192
37.5

 5.12 , or at least six pumps

Qtotal
6

From Fig. 10.15 the peak effiiciency is at
a specific speed of about
NScu  2000
We also need

H  32.8 ft

Q  3363 gpm
3

Hence

N  NScu 

H

4
1

Q

H  10 m

N  473

2

The nearest standard speed to N  473 rpm should be used

3

Q  0.212

m
s

Q  212 

L
s

η  65 %

Problem 10.36

Given:

Data on centrifugal pump

Find:

Head at 1150 rpm

[Difficulty: 2]

Solution:
Basic equation:

(Eq. 10.2c)

The given or available data is
ρ  1000

kg
3

3

Q  0.025 

m

ω  1750 rpm

m

Q
Vn2 
2  π r2  b 2

Hence

Q
r2 
2  π b 2  Vn2

Then

V'n2 

From the outlet geometry

Finally

ω'
ω

r2  0.0909 m

 Vn2

V'n2  2.30

U'2  ω' r2

 

V't2  U'2  V'n2 cos β2
H' 

U'2  V't2
g

b 2  1.25 cm

m
Vn2  3.5
s

ω'  1150 rpm

From continuity

Also

β2  60 deg

s

m
s

U'2  11.0

m

V't2  9.80

m

H'  10.9 m

s

s

r2  9.09 cm

Problem 10.37

Given:

Data on pumping system

Find:

Total delivery; Operating speed

[Difficulty: 3]

Solution:
Basic equations:

Wh

Wh  ρ Q g  H

ηp 

Wm  30 kW

H  30 m

Wm

The given or available data is
ρ  1000

kg
3

H  98.425 ft η  65 %

m

Then for the system

WmTotal  8  Wm

WmTotal  240  kW

The hydraulic total power is WhTotal  WmTotal η

The total flow rate will then be QTotal 

The flow rate per pump is

Q 

WhTotal  156  kW
3

WhTotal

m
QTotal  0.53
s

ρ g  H

QTotal
8

3

Q  0.066 

From Fig. 10.15 the peak effiiciency is at a specific speed of
about
NScu  2500
3

Hence

N  NScu 

H

4
1

Q

7 L
QTotal  4.58  10 
day

N  2410

2

The nearest standard speed to N  2410 rpm should be used

m
s

Q  1051 gpm

Problem 10.38

[Difficulty: 2]

Problem 10.39

[Difficulty: 3]

Given:

Data on Peerless Type 10AE12 pump at 1720 rpm

Find:

Data at speeds of 1000, 1200, 1400, and 1600 rpm

Solution:
Q1

The governing equations are the similarity rules:

ω1  D1
For scaling from speed ω1 to speed ω2:
Speed (rpm) = 1760
Q (gal/min)
0
500
1000
1500
2000
2500
3000
3500
4000

3

Q2  Q1 
ω1
Q (gal/min)
0
284
568
852
1136
1420
1705
1989
2273

ω2  D2

h1
3

2

ω1  D1

 ω2 
H2  H1  

 ω1 

ω2

Speed (rpm) = 1000

2

Q
H (ft) H (fit)
0
170
161
250000
160
160
1000000 155
157
2250000 148
152
4000000 140
144
6250000 135
135
9000000 123
123
12250000 110
109
16000000 95
93

Q2



Q (gal/min)
0
341
682
1023
1364
1705
2045
2386
2727

where

2

ω2  D2

2

h  g H

2

Here are the results generated in Excel:

Speed (rpm) = 1200

H (ft)
52.0
51.7
50.7
49.0
46.6
43.5
39.7
35.3
30.2

2

h2



H (ft)
74.9
74.5
73.0
70.5
67.1
62.6
57.2
50.8
43.5

Speed (rpm) = 1400
Q (gal/min)
0
398
795
1193
1591
1989
2386
2784
3182

H (ft)
102.0
101.3
99.3
96.0
91.3
85.3
77.9
69.2
59.1

Speed (rpm) = 1600
Q (gal/min)
0
455
909
1364
1818
2273
2727
3182
3636

H (ft)
133.2
132.4
129.7
125.4
119.2
111.4
101.7
90.4
77.2

Data from Fig. D.8 is "eyeballed"
The fit to data is obtained from a least squares fit to H = H 0 - AQ

2

161
ft
H0=
A = 4.23E-06 ft/(gal/min)

Performance Curves for Pump at various Speeds
Fig. D.8 Data

180

1000 rpm

160

1200 rpm
1400 rpm

140
H (ft)

1600 rpm

120
100
80
60
40
20
0
0

500

1000

1500

2000
2500
Q (gal/min)

3000

3500

4000

4500

Problem 10.40

[Difficulty: 3]

Problem 10.41

[Difficulty: 3]

Problem 10.42

[Difficulty: 3]

10.6

Problem 10.43

[Difficulty: 3]

10.6:

Problem 10.44

[Difficulty: 4]

Problem 10.45
10.20
10
0.2
20
10-4
1
10
0-4

10.20

[Difficulty: 3] Part 1/2

Problem 10.45

[Difficulty: 3] Part 2/2

Problem 10.46

[Difficulty: 5]

Problem 10.47

[Difficulty: 3]

Given:

Data on a model fan, smaller scale similar fan

Find:

Scale factor and volumetric flow rate of similar fan

Solution:
Basic equations:

Q1
ω1  D1

3

The given or available data is



Q2
ω2  D2

H1
3

2

ω1  D1

2

H2



2

ω2  D2

ω1  1440 rpm

2

ω2  1800 rpm

3

m
Q1  6.3
s

Solving the head equation for the scale D 2/D1:

We can use this to find the new flowrate:

D2
D1

H1  0.15 m



ω1
ω2



H2
H1

 0.8

 D2 
Q2  Q1 


ω1 D1
 
ω2

3

H2  H1  0.15 m

D2
D1

 0.8

3

m
Q2  4.03
s

Problem 10.48

Given:

Data on a model pump

Find:

Prototype flow rate, head, and power at 125 rpm

[Difficulty: 3]

Solution:
Wh  ρ Q g  H

Basic equation:
Q1
ω1  D1

3



Q2
ω2  D2

and similarity rules
h1

(10.19a)
3

The given or available data is

2

ω1  D1



2

h2
2

ω2  D2

Nm  100  rpm

P1

(10.19b)

3

2

ρ1  ω1  D1

Np  125  rpm

ρ  1000

P2



5

3

(10.19a)

ρ2  ω2  D2

5

kg
3

m
3

From Eq. 10.8a
From Eq. 10.19a (with Dm/Dp = 1/3)

m
Qm  1 
s

Hm  4.5 m

Whm  ρ Qm g  Hm

Whm  44.1 kW

Qp
ωp  Dp

Qm



3

3

ωm Dm

3

Np
Qp  27 Qm
Nm
From Eq. 10.19b (with Dm/Dp = 1/3)

hp
2

ωp  Dp

2

m
Qp  33.8
s

hm



g  Hp

or

2

2

2

ωp  Dp

ωm  Dm
2

2

 ωp   Dp 
 ωp 
2
Hp  Hm 

 3  Hm 



 ωm   Dm 
 ωm 
From Eq. 10.19c (with Dm/Dp = 1/3)

Pp
3

ρ ωp  Dp

5



3

ωp
 Dp 
3

Qp  Qm
 3  Qm

ωm Dm
ωm
 
ωp

or

or
5

ρ ωm  Dm

 Np 
Whp  243  Whm 

 Nm 

2

2

ωm  Dpm

 Np 
Hp  9  Hm 

 Nm 
3

Pm
3

2

2

g  Hm



5

2

Hp  63.3 m

 ωp   Dp 
 ωp 
5
Whp  Whm 

 3  Whm 



 ωm   Dm 
 ωm 

3

Whp  20.9 MW

3

Problem 10.49

[Difficulty: 2]

Given:

Data on a model pump

Find:

Temperature for dynamically similar operation at 1800 rpm; Flow rate and head; Comment on NPSH

Solution:
Basic equation:

Re1  Re2

Q1

and similarity
rules

ω1  D1

3

Q2



ω2  D2

H1
3

2

ω1  D1

2

H2



2

ω2  D2

2

3

The given or available data is

ω1  3600 rpm

From Table A.8 at 15 oC

ν1  1.14  10

For D = constant

V1  D

Re1 

ν1

Q1
ω1  D

 Re2 



2

ω1  D



or

ν2

ω2
ν2  ν1 
ω1

2
7m

ν2  5.7  10

( 5.52  6.02)
Q2

 ( 5.70  6.02)

H2

T2  48

or

ω2
Q2  Q1 
ω1

or

 ω2 
H2  H1  

 ω1 

3

2

ω2  D

degrees C
3

m
Q2  0.0500
s
2

H2  6.75 m

The water at 48 oC is closer to boiling. The inlet pressure would have to be changed to avoid cavitation. The increase between
runs 1 and 2 would have to be ∆p  p v2  p v1 where p v2 and pv1 are the vapor pressures at T 2 and T1. From the steam tables:
p v1  1.71 kPa

s

, we find, by linear interpolation

( 50  45)

2

s

ω2  D D

ω2  D

H1
2

ν1

s



3

ω1  D D



2
7m

T2  45 

and also

H1  27 m

2
6 m

From Table A.8, at ν2  5.7  10

From similar operation

m
Q1  0.1
s

ω2  1800 rpm

p v2  11.276 kPa

∆p  p v2  p v1

∆p  9.57 kPa

Problem 10.50

[Difficulty: 4]

Problem 10.51

Given:

Data on a NPSHR for a pump

Find:

Curve fit; Maximum allowable flow rate

Solution:

[Difficulty: 2]

The results were generated in Excel:
2

Q (cfm)
20
40
60
80
100
120
140

Q
4.00E+02
1.60E+03
3.60E+03
6.40E+03
1.00E+04
1.44E+04
1.96E+04

NPSHR (ft)
7.1
8.0
8.9
10.3
11.8
14.3
16.9

NPSHR (fit)
7.2
7.8
8.8
10.2
12.0
14.2
16.9

The fit to data is obtained from a least squares fit to NPSHR = a + bQ
a =
b =

7.04

ft
2

5.01E-04 ft/(cfm)

2

Q (cfm)

NPSHR (ft)

160.9

20.00

Use Goal Seek to find Q !

NPSHR Curve for a Pump

NPSHR (m)

18
16

Data at 1450 rpm

14
12
10

Curve Fit

8
6
4
2
0
0

20

40

60

80
3

100
3

Q (m /s x 10 )

120

140

160

Problem 10.52

[Difficulty: 3]

Given:

Data on a boiler feed pump

Find:

NPSHA at inlet for field temperature water; Suction head to duplicate field conditions

Solution:
Basic equation:

1
2
NPSHA  p t  p v  p g  p atm   ρ V  p v
2

Given or available data is

Ds  10 cm

Dd  7.5 cm

H  125  m

Q  0.025 

p inlet  150  kPa

p atm  101  kPa

zinlet  50 cm

ρ  1000

3

m
s

kg
3

ω  3500 rpm

m
For field conditions

p g  p inlet  ρ g  zinlet

From continuity

Vs 

4 Q
2

π Ds

From steam tables (try Googling!) at 115oC

Hence

p g  145  kPa

m
Vs  3.18
s

p v  169  kPa

1
2
NPSHA  p g  p atm   ρ Vs  p v
2

Expressed in meters or feet of water

NPSHA  82.2 kPa
NPSHA
ρ g

 8.38m

In the laboratory we must have the same NPSHA. From Table A.8 (or steam tables - try Googling!) at 27 oC
Hence

1
2
p g  NPSHA  p atm   ρ Vs  p v
2

The absolute pressure is

p g  p atm  80.7 kPa

p g  20.3 kPa

NPSHA
ρ g

 27.5 ft

p v  3.57 kPa

Problem 10.53

Given:

Pump and supply pipe system

Find:

Maximum operational flow rate

[Difficulty: 3]



Solution:

Basic equations:

H



2
2
 p
V1
V2
  p2

1

α


g

z

α


g

z

ρ
1 2
1  ρ
2 2
2  h lT

 


h lT  f 
NPSHA 

2
2
Le V2
L V
V

 f 
 K
D 2
D 2
2

Le for the elbow, and K for the square entrance

pt  pv

2

Hr  H0  A Q

ρ g

Assumptions: 1) p 1 = 0 2) V1 = 0 3) α 2 = 1 4) z 2 = 0
We must match the NPSHR (=Hr) and NPSHA

From the energy equation

2
2
 p2 V2 
Le V2
V
L V
  f    f    K
g H  

D 2
2
2 
D 2
ρ

NPSHA 

pt  pv
ρ g



p2
ρ g



p atm
ρ g



V2

2

2 g



pv
ρ g


2 g 

L


  K
ρ g
D D  
2
Le 
  patm  pv 
V  L
NPSHA  H 
  K 
 f   
2 g   D
D
ρ g

p2

2

 H

V

 1  f  



Le 

Calculated results and plot were generated using Excel:
Given data:

Computed results:

L =

20
ft
e = 0.00085 ft
D = 6.065 in
K e nt =
0.5
L e /D =
30
H0=
10
ft

Q (cfs) V (ft/s)
0.2
1.00
0.4
1.99
0.6
2.99
0.8
3.99
1.0
4.98

Re
4.75E+04
9.51E+04
1.43E+05
1.90E+05
2.38E+05

f
NPSHA (ft) NPSHR (ft)
0.0259
55.21
10.32
0.0243
55.11
11.26
0.0237
54.95
12.84
0.0234
54.72
15.06
0.0232
54.43
17.90

5.98
6.98
7.98
8.97

2.85E+05
3.33E+05
3.80E+05
4.28E+05

0.0231
0.0230
0.0229
0.0229

54.08
53.66
53.18
52.63

21.38
25.48
30.22
35.60

A=
H =
p atm =
pv=

7.9
22
14.7
0.363

ft/(cfs)2
ft
psia
psia

1.2
1.4
1.6
1.8

=

1.93

slug/ft

3

2.0

9.97

4.75E+05 0.0228

52.02

41.60

2.2
2.4
2.6

10.97
11.96
12.96

5.23E+05 0.0228
5.70E+05 0.0227
6.18E+05 0.0227

51.35
50.62
49.82

48.24
55.50
63.40

2.28

11.36

5.42E+05 0.0228

51.07

51.07

= 1.06E-05 ft /s
2

Crossover point:

Error
0.00

NPSHA and NPSHR
70
60
Head (ft)

50
40

NPSHA
NPSHR

30
20
10
0
0.0

0.5

1.0

1.5
Q (cfs)

2.0

2.5

3.0

Problem 10.54

[Difficulty: 2]

Problem 10.55

[Difficulty: 5]



H

Given:

Pump and supply pipe system

Find:

Maximum operational flow rate as a function of temperature



Solution:

Basic equations:

2
2
 p
2
2
Le V2
V1
V2
  p 2

1
L V
V
 ρ  α1 2  g  z1   ρ  α2  2  g z2  h lTh lT  f  D  2  f  D  2  K 2

 


NPSHA 

Le for the elbow, and K for the square
entrance
2
Hr  H0  A Q

pt  pv
ρ g

Assumptions: 1) p 1 = 0 2) V1 = 0 3) α 2 = 0 4) z 2 = 0
We must match the NPSHR (=Hr) and NPSHA
From the energy equation

NPSHA 

g H 

pt  pv
ρ g

2
2
2
 p2 V2 
L
    f  L  V  f  e  V  K V
D 2
2
D 2
2 
ρ



p2
ρ g



p atm
ρ g



V2

2

2 g



The results generated using Excel are shown on the next page.

Given data:

Computed results:

pv
ρ g

p2
ρ g

V

 L Le  

  K
D D  

 1  f  

  L Le    patm  pv 

  K 
2 g   D
D
ρ g

2

NPSHA  H 


2 g 
2

 H

V

 f  

Given data:

Computed results:
o

T ( C) p v (kPa) ρ
0
0.661
5
0.872
10
1.23
15
1.71
20
2.34

L=
e =
D=
K ent =
L e /D =
H0 =

6
0.26
15
0.5
30
3

m

A=
H=
p atm =

3000
6
101

m/(m /s)
m
kPa

=

1000

kg/m

m
mm
cm

3

2

3

2

3

(kg/m
1000
1000
1000
999
998

3
3
) ν (m /s) Q (m /s) V (m/s) Re
1.76E-06 0.06290 3.56 3.03E+05
1.51E-06 0.06286 3.56 3.53E+05
1.30E-06 0.06278 3.55 4.10E+05
1.14E-06 0.06269 3.55 4.67E+05
1.01E-06 0.06257 3.54 5.26E+05

f

NPSHA (m)NPSHR (m) Error

0.0232
0.0231
0.0230
0.0230
0.0229

14.87
14.85
14.82
14.79
14.75

14.87
14.85
14.82
14.79
14.75

0.00
0.00
0.00
0.00
0.00

25
30
35

3.17
4.25
5.63

997
996
994

8.96E-07 0.06240
8.03E-07 0.06216
7.25E-07 0.06187

3.53
3.52
3.50

5.91E+05 0.0229
6.57E+05 0.0229
7.24E+05 0.0228

14.68
14.59
14.48

14.68
14.59
14.48

0.00
0.00
0.00

40

7.38

992

6.59E-07 0.06148

3.48

7.92E+05 0.0228

14.34

14.34

0.00

 = 1.01E-06 m /s

45
9.59
990
6.02E-07 0.06097 3.45 8.60E+05 0.0228
14.15
14.15
50
12.4
988
5.52E-07 0.06031 3.41 9.27E+05 0.0228
13.91
13.91
55
15.8
986
5.09E-07 0.05948 3.37 9.92E+05 0.0228
13.61
13.61
60
19.9
983
4.72E-07 0.05846 3.31 1.05E+06 0.0228
13.25
13.25
65
25.0
980
4.40E-07 0.05716 3.23 1.10E+06 0.0227
12.80
12.80
70
31.2
978
4.10E-07 0.05548 3.14 1.15E+06 0.0227
12.24
12.24
75
38.6
975
3.85E-07 0.05342 3.02 1.18E+06 0.0227
11.56
11.56
80
47.4
972
3.62E-07 0.05082 2.88 1.19E+06 0.0227
10.75
10.75
85
57.8
969
3.41E-07 0.04754 2.69 1.18E+06 0.0227
9.78
9.78
90
70.1
965
3.23E-07 0.04332 2.45 1.14E+06 0.0227
8.63
8.63
95
84.6
962
3.06E-07 0.03767 2.13 1.05E+06 0.0228
7.26
7.26
100
101
958
2.92E-07 0.02998 1.70 8.71E+05 0.0228
5.70
5.70
Use Solver to make the sum of absolute errors between NPSHA and NPSHR zero by varying the Q 's

0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00

NPSHR increases with temperature because the p v increases; NPHSA decreases because ρ decreases and p v increases

Maximum Flow Rate Versus Water temperature
0.07

0.06

0.04

3

Q (m /s)

0.05

0.03

0.02
0.01

0.00
0

10

20

30

40

50
o

T ( C)

60

70

80

90

100

Problem 10.56

[Difficulty: 3]

Given:

Pump and reservoir system

Find:

System head curve; Flow rate when pump off; Loss, Power required and cost for 1 m 3/s flow rate

Solution:
Basic equations:

2
2
 p
2
2
V1
V2
  p 2

1
L V
V
 ρ  α1 2  g  z1   ρ  α2  2  g z2  h lT  hp h lT  f  D  2  Σ K 2 (K for the exit)

 


where points 1 and 2 are the reservoir free surfaces, and h p is the pump head
H

Note also

h

ηp 

Pump efficiency:

g

Wh
Wm

Assumptions: 1) p 1 = p2 = patm 2) V1 = V2 = 0 3) α 2 = 0 4) z1  0, z2  15 m 4) K  Kent  Kent  1.5
2

From the energy equation g  z2  f 

2

L V
V

 h p  K
D 2
2

Given or available data L  300  m
ρ  1000

2

D  40 cm

kg

ν  1.01  10

3

2

2

L V
V
h p  g  z2  f  
 K
D 2
2

e  0.26 mm
2
6 m



m

(Table 8.1)

(Table A.8)

s

The set of equations to solve for each flow rate Q are
4 Q

V

2

Re 

V D

π D

ν

 e



D
1
2.51

 2.0 log 

3.7
f
Re f 


3

For example, for

Q  1

m
s

V  7.96

m

Re  3.15  10

s

2

2

L V
V
Hp  z2  f  
 K
D 2 g
2 g
6

f  0.0179

Hp  33.1 m

40

Head (m)

30
20
10

 10

0

0.2

0.4

0.6

 20

Q (cubic meter/s)

0.8

2

L V
V
Hp  z2  f  
 K
D 2 g
2 g

1

3

The above graph can be plotted in Excel. In Excel, Solver can be used to find Q for H p = 0 Q  0.557
3

At

Q  1

m

we saw that

s

Hp  33.1 m
4

Assuming optimum efficiency at Q  1.59  10  gpm from Fig.
10.15

ηp  92 %

Then the hydraulic power is

Wh  ρ g  Hp  Q

Wh  325  kW

The pump power is then

Wh
Wm 
ηp

Wm 2  706  kW

If electricity is 10 cents per kW-hr then the hourly cost is about $35
If electricity is 15 cents per kW-hr then the hourly cost is about $53
If electricity is 20 cents per kW-hr then the hourly cost is about $71

m
s

(Zero power rate)

Problem 10.57

[Difficulty: 2]

Problem 10.58

[Difficulty: 3] Part 1/2

Problem 10.58

[Difficulty: 3] Part 2/2

Problem 10.59

Given:

Data on pump and pipe system

Find:

Delivery through system

[Difficulty: 3]

Solution:
Governing Equations:
For the pump and system

where the total head loss is comprised of major and minor losses

and the pump head (in energy/mass) is given by (from Example 10.6)
Hpump( ft)  55.9  3.44  10

5

 Q( gpm)

2

Hence, applied between the two reservoir free surfaces (p 1 = p 2 = 0, V1 = V2 = 0, z1 = z2 ) we have
0  h lT  ∆hpump
h lT  g  Hsystem  ∆hpump  g  Hpump
HlT  Hpump

or

(1)
2

where

 L1
 L2
 V1
 V2
HlT   f1 
 Kent 
  f2 
 Kexit 
 D1
 2 g  D2
 2

Results generated in Excel are shown on the next page.

2

Given or available data:
L1 =
D1 =
L2 =
D2 =
e =

3000
9
1000
6
0.00085

ft
ν=
in
K ent =
ft
K exp =
in
Q loss =
ft (Table 8.1)

2

1.23E-05 ft /s (Table A.7)
0.5
(Fig. 8.14)
1
75
gpm

The system and pump heads are computed and plotted below.
To find the operating condition, Goal Seek is used to vary Q 1
so that the error between the two heads is zero.
Q 1 (gpm)

Q 2 (gpm)

V 1 (ft/s)

V 2 (ft/s)

Re 1

Re 2

f1

f2

H lT (ft)

H pump (ft)

100
200
300
400
500
600
700

25
125
225
325
425
525
625

0.504
1.01
1.51
2.02
2.52
3.03
3.53

0.284
1.42
2.55
3.69
4.82
5.96
7.09

30753
61506
92260
123013
153766
184519
215273

11532
57662
103792
149922
196052
242182
288312

0.0262
0.0238
0.0228
0.0222
0.0219
0.0216
0.0215

0.0324
0.0254
0.0242
0.0237
0.0234
0.0233
0.0231

0.498
3.13
8.27
15.9
26.0
38.6
53.6

55.6
54.5
52.8
50.4
47.3
43.5
39.0

Q 1 (gpm)

Q 2 (gpm)

V 1 (ft/s)

V 2 (ft/s)

Re 1

Re 2

f1

f2

H lT (ft)

H pump (ft)

627

552

3.162

6.263

192785

254580

0.0216

0.0232

42.4

42.4

Error)
0%

700

800

Pump and System Heads
60
50
H (ft)

40
30

Pump
System

20
10
0
0

100

200

300
400
Q (gal/min)

500

600

Problem 10.60

Given:

Pump and reservoir/pipe system

Find:

Flow rate using different pipe sizes

[Difficulty: 3]

Solution:
2
2
 p
V1
V2
  p 2

1

α


g

z

α


g

z

ρ
1 2
1  ρ
2 2
2  h lT  h p

 


Basic equations:

2

h lT  f 

2

2

Le V
L V
V

 Σ f  
 Σ K
D 2
D 2
2
H

and also

Le for the elbows, and K for the square entrance and exit

h
g

Le
2) V = V = 0 3) α = 1 4) z1  0, z2  24 ft 4) K  Kent  Kexp 5)
is for two elbows
atm
1
2
D

Assumptions: 1) p = p = p
1

Hence

2

h lT  f 

2
2
Le V2
L V
V

 f 
 K
D 2
D 2
2

z2  HlT  Hp or

and also

We want to find a flow that satisfies these equations, rewritten as energy/weight rather than energy/mass

  L Le   V2
HlT  f   
  K 
  D D   2 g

H1T  z2  Hp

Here are the results calculated in Excel:

Given or available data (Note: final results will vary depending on fluid data selected):
L = 1750 ft
e = 0.00015 ft (Table 8.1)
D = 7.981 in

K ent =
K exp =
L e/D elbow =

0.5
1
60

(Fig. 8.14)

ν = 1.06E-05 ft /s (Table A.8)
z2 =
24
ft

L e/D va lve =

8

(Table 8.4)

2

(Two)

H1T  Hp  z2

2

The pump data is curve-fitted to H pump = H 0 - AQ .
The system and pump heads are computed and plotted below.
To find the operating condition, Solver is used to vary Q
so that the error between the two heads is minimized.
A plot of the pump and system heads is shown for the 8 in case - the others will look similar.
Q (cfm)
Q2
V (ft/s)
H p (fit) H lT + z 2 (ft)
H p (ft)
Re
f
0.000
0
90.0
0.00
0
0.0000
89
24.0
50.000
2500
87.0
2.40
150504
0.0180
87
28.5
100.000 10000
81.0
4.80
301007
0.0164
81
40.4
150.000 22500
70.0
7.20
451511
0.0158
72
59.5
200.000 40000
59.0
9.59
602014
0.0154
59
85.8
250.000 62500
43.0
11.99
752518
0.0152
42.3
119.1
300.000 90000
22.0
14.39
903022
0.0150
21.9
159.5
H0=

89

ft

A = 7.41E-04 ft/(cfm)
Q (cfm)

V (ft/s)

167.5

8.03

Repeating for:

2

Re

H p (fit) H lT + z 2 (ft) Error)

f

504063 0.0157

67.9

67.9

0.00%

D = 10.02 in

Q (cfm)

V (ft/s)

179.8

8.63

H p (fit) H lT + z 2 (ft) Error)
Re
f
541345 0.0156 64.7
64.7
0.00%
D =

Repeating for:
Q (cfm)

V (ft/s)

189.4

9.09

12

in

H p (fit) H lT + z 2 (ft) Error)
Re
f
570077 0.0155 62.1
62.1
0.00%

Pump and System Heads (8 in pipe)
180
160
140
120
H (ft)
100
80
60
40
20
0

Pump Curve Fit
Pump Data
Total Head Loss

0

50

100

150
Q (cfm)

200

250

300

350

Problem 10.61

Given:

Data on pump and pipe system

Find:

Delivery through system, valve position to reduce delivery by half

[Difficulty: 3]

Solution:
Governing Equations:
For the pump and system

where the total head loss is comprised of major and minor losses

Hence, applied between the two reservoir free surfaces (p 1 = p 2 = 0, V1 = V2 = 0, z1 - z2 = z) we have
g  ∆z  h lT  ∆hpump
h lT  g  ∆z  g  Hsystem  g  ∆z  ∆hpump  g  Hpump
or

HlT  ∆z  Hpump
2

where

Le
Le 
 V
 L
HlT  f    2 

  Kent  Kexit  2 g
Delbow
Dvalve
 D



The calculations performed using Excel are shown on the next page:

Given or available data (Note: final results will vary depending on fluid data selected):
L = 1200 ft
D =
12
in
e = 0.00015 ft (Table 8.1)

K e nt =
K e xp =
L e/D elbow =

0.5
1
30

(Fig. 8.14)

ν = 1.23E-05 ft /s (Table A.7)
z =
-50
ft

L e/D valve =

8

(Table 8.4)

2

2

The pump data is curve-fitted to H pump = H 0 - AQ .
The system and pump heads are computed and plotted below.
To find the operating condition, Solver is used to vary Q
so that the error between the two heads is minimized.
Q (gpm) Q 2 (gpm) H pump (ft)
0
500
1000
1500
2000
2500
3000

0
250000
1000000
2250000
4000000
6250000
9000000

H0=

180

179
176
165
145
119
84
43

0.00
1.42
2.84
4.26
5.67
7.09
8.51

Re
0
115325
230649
345974
461299
576623
691948

H pum p (fit) H lT + z (ft)

f
0.0000
0.0183
0.0164
0.0156
0.0151
0.0147
0.0145

180
176
164
145
119
84.5
42.7

50.0
50.8
52.8
56.0
60.3
65.8
72.4

ft

A = 1.52E-05 ft/(gpm)
Q (gpm) V (ft/s)
2705

V (ft/s)

7.67

2

Re
f
H pum p (fit) H lT + z (ft) Error)
623829 0.0146
68.3
68.3
0%

Pump and System Heads
200
180
160
140
H (ft) 120
100
80
60
40
20
0

Pump Curve Fit
Pump Data
Total Head Loss

0

500

1000

1500
2000
Q (gal/min)

2500

3000

3500

For the valve setting to reduce the flow by half, use Solver to vary the value below to minimize the error.
L e/D valve =
Q (gpm) V (ft/s)
1352

3.84

26858
H pum p (fit) H lT + z (ft) Error)
Re
f
311914 0.0158
151.7
151.7
0%

Problem 10.62

[Difficulty: 3]

Given:

Data on pump and pipe system

Find:

Delivery through series pump system; valve position to reduce delivery by half

Solution:
Governing Equations:
For the pumps and system

where the total head loss is comprised of major and minor losses

Hence, applied between the two reservoir free surfaces (p 1 = p 2 = 0, V1 = V2 = 0, z1 - z2 = z) we have
g  ∆z  h lT  ∆hpump
h lT  g  ∆z  g  Hsystem  g  ∆z  ∆hpump  g  Hpump
or

HlT  ∆z  Hpump
2

where

Le
Le 
 V
 L
HlT  f    2

 Kent  Kexit 

Delbow
Dvalve
 D

 2 g
2

For pumps in series

Hpump  2 H0  2 A  Q

where for a single pump

Hpump  H0  A Q

The calculations in Excel are shown on the next page.

2

Given or available data (Note: final results will vary depending on fluid data selected):
L =
D =
e =

1200
12
0.00015

ft
in
ft (Table 8.1)

ν =
Δz =

1.23E-05
-50

ft /s (Table A.7)
ft

2

K ent =
K exp =
L e /D elbow =

0.5
1
30

(Fig. 8.14)

L e/D valve =

8

(Table 8.4)

2

The pump data is curve-fitted to H pump = H 0 - AQ .
The system and pump heads are computed and plotted below.
To find the operating condition, Solver is used to vary Q
so that the error between the two heads is minimized.
Q (gpm)

Q 2 (gpm)

H pum p (ft)

H pump (fit)

V (ft/s)

0
500
1000
1500
2000
2500
3000
3250

0
250000
1000000
2250000
4000000
6250000
9000000

179
176
165
145
119
84
43

180
176
164
145
119
85
43

0.00
1.42
2.84
4.26
5.67
7.09
8.51
9.22

Re
0
115325
230649
345974
461299
576623
691948
749610

f
0.0000
0.0183
0.0164
0.0156
0.0151
0.0147
0.0145
0.0144

f
0.0145

H pumps (par)

H lT + Δz (ft)

73.3

73.3

Error)
0%

H0=

180

A=

1.52E-05

Q (gpm)

V (ft/s)

3066

8.70

H pum ps (par)

H lT + Δz (ft)

359
351
329
291
237
169
85
38

50.0
50.8
52.8
56.0
60.3
65.8
72.4
76.1

ft
2

ft/(gpm)

Re
707124

Pump and System Heads
Pump Curve Fit
Pump Data
Total Head Loss
Pumps in Series

400
350
300
H (ft) 250
200
150
100
50
0
0

1000

2000
Q (gal/min)

3000

For the valve setting to reduce the flow by half, use Solver to vary the value below to minimize the error.
L e /D valve =

50723

Q (gpm)

V (ft/s)

1533

4.35

Re
353562

f
0.0155

H pumps (par)
287.7

H lT + Δz (ft)
287.7

Error)
0%

4000

Problem 10.63

[Difficulty: 4]

Given:

Data on pump and pipe system, and their aging

Find:

Reduction in delivery through system after 20 and 40 years (aging and non-aging pumps)

Solution:
Given or available data (Note: final results will vary depending on fluid data selected) :
L =
D =
e =

1200
12
0.00015

ft
in
ft (Table 8.1)

K ent =
K exp =
L e/D elbow =

0.5
1
30

(Fig. 8.14)

=
z =

1.23E-05
-50

ft2/s (Table A.7)
ft

L e/D valve =

8

(Table 8.4)

The pump data is curve-fitted to H pump = H 0 - AQ 2.
The system and pump heads are computed and plotted below.
To find the operating condition, Solver is used to vary Q
so that the error between the two heads is minimized.

New System:
Q (gpm)

Q 2 (gpm)

H pump (ft)

V (ft/s)

0
500
1000
1500
2000
2500
3000

0
250000
1000000
2250000
4000000
6250000
9000000

179
176
165
145
119
84
43

0.00
1.42
2.84
4.26
5.67
7.09
8.51

Re
0
115325
230649
345974
461299
576623
691948

f
0.0000
0.0183
0.0164
0.0156
0.0151
0.0147
0.0145

H pump (fit)

H lT + z (ft)

68.3

68.3

Error)
0%

H0 =

180

A =

1.52E-05

H pump (fit)

H lT + z (ft)

180
176
164
145
119
84.5
42.7

50.0
50.8
52.8
56.0
60.3
65.8
72.4

ft

Q (gpm)

V (ft/s)

2705

7.67

ft/(gpm)2
Re
623829

f
0.0146

Pump and System Heads -When New
200
180
160
140
H (ft) 120
100
80
60
40
20
0

Pump Curve Fit
Pump Data
Total Head Loss

0

500

1000

1500
Q (gal/min)

2000

2500

3000

20-Year Old System:
f = 2.00 f new
Q (gpm)

V (ft/s)

2541

7.21

Re
586192

f
0.0295

H pump (fit)

H lT + z (ft)

81.4

81.4

Re
572843

f
0.0354

H pump (fit)

H lT + z (ft)

85.8

85.8

H pump (fit)

H lT + z (ft)

79.3

79.3

H pump (fit)

H lT + z (ft)

78.8

78.8

Error)
0%

Flow reduction:
163 gpm
6.0% Loss

Error)
0%

Flow reduction:
221 gpm
8.2% Loss

Error)
0%

Flow reduction:
252 gpm
9.3% Loss

Error)
0%

Flow reduction:
490 gpm
18.1% Loss

40-Year Old System:
f = 2.40 f new
Q (gpm)

V (ft/s)

2484

7.05

20-Year Old System and Pump:
H pump = 0.90 H new

f = 2.00 f new
Q (gpm)

V (ft/s)

2453

6.96

Re
565685

f
0.0296

40-Year Old System and Pump:
H pump = 0.75 H new

f = 2.40 f new
Q (gpm)

V (ft/s)

2214

6.28

Re
510754

f
0.0358

3500

Problem 10.64

[Difficulty: 3]

Given:

Data on pump and pipe system

Find:

Delivery through parallel pump system; valve position to reduce delivery by half

Solution:
Governing Equations:
For the pumps and system

where the total head loss is comprised of major and minor losses

Hence, applied between the two reservoir free surfaces (p 1 = p 2 = 0, V1 = V2 = 0, z1 - z2 = z) we have
g  ∆z  h lT  ∆hpump
h lT  g  ∆z  g  Hsystem  g  ∆z  ∆hpump  g  Hpump
or

HlT  ∆z  Hpump
2

where

Le
Le 
 V
 L
HlT  f    2 

 Kent  Kexit 

Delbow
Dvalve
 D

 2 g

For pumps in parallel

1
2
Hpump  H0   A Q
4

where for a single pump

Hpump  H0  A Q

2

The calculations performed using Excel are shown on the next page.

Given or available data (Note: final results will vary depending on fluid data selected):
L =
D =
e =

1200
12
0.00015

ft
in
ft (Table 8.1)

ν =
Δz =

1.23E-05
-50

ft /s (Table A.7)
ft

2

K ent =
K exp =
L e /D elbow =

0.5
1
30

(Fig. 8.14)

L e/D valve =

8

(Table 8.4)

2

The pump data is curve-fitted to H pump = H 0 - AQ .
The system and pump heads are computed and plotted below.
To find the operating condition, Solver is used to vary Q
so that the error between the two heads is minimized.
Q (gpm)

Q 2 (gpm)

0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000

0
250000
1000000
2250000
4000000
6250000
9000000

H0=

180

A=

1.52E-05

Q (gpm)

V (ft/s)

4565

12.95

H pum p (ft)
179
176
165
145
119
84
43

H pump (fit)
180
176
164
145
119
85
43

V (ft/s)
0.00
1.42
2.84
4.26
5.67
7.09
8.51
9.93
11.35
12.77
14.18

Re
0
115325
230649
345974
461299
576623
691948
807273
922597
1037922
1153247

f
0.0000
0.0183
0.0164
0.0156
0.0151
0.0147
0.0145
0.0143
0.0142
0.0141
0.0140

f
0.0141

H pumps (par)
100.3

H lT +Δz (ft)
100.3

Error)
0%

H pum ps (par)
180
179
176
171
164
156
145
133
119
103
85

H lT + Δz (ft)
50.0
50.8
52.8
56.0
60.3
65.8
72.4
80.1
89.0
98.9
110.1

ft
2

ft/(gpm)

Re
1053006

Pump and System Heads
Pump Curve Fit
Pump Data
Total Head Loss
Pumps in Parallel

200

150
H (ft)
100

50

0
0

1000

2000
Q (gal/min)

3000

For the valve setting to reduce the flow by half, use Solver to vary the value below to minimize the error.
L e /D valve =
Q (gpm)

V (ft/s)

2283

6.48

9965
Re
526503

f
0.0149

H pumps (par)
159.7

H lT + z (ft)
159.7

Error)
0%

4000

5000

Problem 10.65

[Difficulty: 4]

Given:

Data on pump and pipe system

Find:

Delivery through parallel pump system; reduction in delivery after 20 and 40 years

Solution:
Given or available data (Note: final results will vary depending on fluid data selected) :
L =
D =
e =

1200
12
0.00015

ft
in
ft (Table 8.1)

K ent =
K exp =
L e/D elbow =

0.5
1
30

(Fig. 8.14)

=
z =

1.23E-05
-50

ft2/s (Table A.7)
ft

L e/D valve =

8

(Table 8.4)

2
The pump data is curve-fitted to H pump = H 0 - AQ .
The system and pump heads are computed and plotted below.
To find the operating condition, Solver is used to vary Q
so that the error between the two heads is minimized.

Q (gpm)

Q 2 (gpm)

H pump (ft)

H pump (fit)

V (ft/s)

0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000

0
250000
1000000
2250000
4000000
6250000
9000000

179
176
165
145
119
84
43

180
176
164
145
119
85
43

0.00
1.42
2.84
4.26
5.67
7.09
8.51
9.93
11.35
12.77
14.18

Re
0
115325
230649
345974
461299
576623
691948
807273
922597
1037922
1153247

f
0.0000
0.0183
0.0164
0.0156
0.0151
0.0147
0.0145
0.0143
0.0142
0.0141
0.0140

f
0.0141

H pumps (par)

H lT + z (ft)

100.3

100.3

Error)
0%

H0 =

180

A =

1.52E-05

Q (gpm)

V (ft/s)

4565

12.95

H pumps (par)

H lT + z (ft)

180
179
176
171
164
156
145
133
119
103
85

50.0
50.8
52.8
56.0
60.3
65.8
72.4
80.1
89.0
98.9
110.1

ft
ft/(gpm)2
Re
1053006

Pump and System Heads
Pump Curve Fit
Pump Data
Total Head Loss
Pumps in Parallel

200

150
H (ft)
100

50

0
0

1000

2000
Q (gal/min)

3000

4000

20-Year Old System:
f = 2.00 f new
Q (gpm)

V (ft/s)

3906

11.08

Re
900891

f
0.0284

H pumps (par)

H lT + z (ft)

121.6

121.6

Re
855662

f
0.0342

H pump (fit)

H lT + z (ft)

127.2

127.2

f
0.0285

H pump (fit)

H lT + z (ft)

114.6

114.6

f
0.0347

H pump (fit)

H lT + z (ft)

106.4

106.4

Error)
0%

Flow reduction:
660 gpm
14.4% Loss

Error)
0%

Flow reduction:
856
18.7%

Error)
0%

Flow reduction:
860 gpm
18.8% Loss

Error)
0%

Flow reduction:
1416
31.0%

40-Year Old System:
f = 2.40 f new
Q (gpm)

V (ft/s)

3710

10.52

20-Year Old System and Pumps:
H pump = 0.90 H new

f = 2.00 f new
Q (gpm)

V (ft/s)

3705

10.51

Re
854566

40-Year Old System and Pumps:
f = 2.40 f new

H pump = 0.75 H new

Q (gpm)

V (ft/s)

3150

8.94

Re
726482

5000

Problem 10.66

Given:

Data on pump and pipe system

Find:

Delivery through series pump system; reduction after 20 and 40 years

[Difficulty: 4]

Solution:
Given or available data (Note: final results will vary depending on fluid data selected) :
L =
D =
e =

1200
12
0.00015

ft
in
ft (Table 8.1)

K ent =
K exp =
L e/D elbow =

0.5
1
30

(Fig. 8.14)

=
z =

1.23E-05
-50

ft2/s (Table A.7)
ft

L e/D valve =

8

(Table 8.4)

The pump data is curve-fitted to H pump = H 0 - AQ 2.
The system and pump heads are computed and plotted below.
To find the operating condition, Solver is used to vary Q
so that the error between the two heads is minimized.
Q (gpm)

Q 2 (gpm)

H pump (ft)

H pump (fit)

V (ft/s)

0
500
1000
1500
2000
2500
3000
3250

0
250000
1000000
2250000
4000000
6250000
9000000

179
176
165
145
119
84
43

180
176
164
145
119
85
43

0.00
1.42
2.84
4.26
5.67
7.09
8.51
9.22

Re
0
115325
230649
345974
461299
576623
691948
749610

f
0.0000
0.0183
0.0164
0.0156
0.0151
0.0147
0.0145
0.0144

H pumps (par)

H lT + z (ft)

359
351
329
291
237
169
85
38

50.0
50.8
52.8
56.0
60.3
65.8
72.4
76.1

H0 =

180

A =

1.52E-05

Q (gpm)

V (ft/s)

3066

8.70

ft
ft/(gpm)2
Re
707124

f
0.0145

H pumps (par)

H lT + z (ft)

73.3

73.3

Error)
0%

Pump and System Heads
Pump Curve Fit
Pump Data
Total Head Loss
Pumps in Series

400
350
300
H (ft) 250
200
150
100
50
0
0

1000

2000
Q (gal/min)

3000

20-Year Old System:
f = 2.00 f new
Q (gpm)

V (ft/s)

2964

8.41

Re
683540

f
0.0291

H pumps (par)

H lT + z (ft)

92.1

92.1

Re
674713

f
0.0349

H pump (fit)

H lT + z (ft)

98.9

98.9

f
0.0291

H pump (fit)

H lT + z (ft)

90.8

90.8

f
0.0351

H pump (fit)

H lT + z (ft)

94.1

94.1

Error)
0%

Flow reduction:
102 gpm
3.3% Loss

Error)
0%

Flow reduction:
141 gpm
4.6% Loss

Error)
0%

Flow reduction:
151 gpm
4.9% Loss

Error)
0%

Flow reduction:
294 gpm
9.6% Loss

40-Year Old System:
f = 2.40 f new
Q (gpm)

V (ft/s)

2925

8.30

20-Year Old System and Pumps:
f = 2.00 f new

H pump = 0.90 H new

Q (gpm)

V (ft/s)

2915

8.27

Re
672235

40-Year Old System and Pumps:
H pump = 0.75 H new

f = 2.40 f new
Q (gpm)

V (ft/s)

2772

7.86

Re
639318

4000

Problem 10.67

[Difficulty: 3]

Given:

Water supply for Englewood, CO

Find:

(a) system resistance curve
(b) specify appropriate pumping system
(c) estimate power required for steady-state operation at two specified flow rates

Solution:
2
2
 p
V1
V2
  p 2

1

α


g

z

α


g

z

ρ
1 2
1  ρ
2 2
2  h lT  h p

 


Basic equations:

2

h lT  f 

Assumptions: 1) p 1 = p2 = patm

Hence

2

2) V 1 = V2 = 0

3) Kent = 0

2

L
V
g  z1  z2   f   1 
 h p or
 D
 2



2

Le V
L V
V

 Σ f  
 Σ K
D 2
D 2
2



H

4) Kexit = 1

h

Wp 

g

5) L e/D = 0
2

L
V
Hp  z2  z1   f   1 
 D
 2 g





The results calculated using Excel are shown below:

Given or available data (Note: final results will vary depending on fluid data selected):
L =
e =

1770
0.046

m
mm (Table 8.1)

z 1 = 1610 m
z 2 = 1620 m

D =

68.5

cm

ρ =

ν = 1.01E-06 m /s (Table A.8)
2

The required pump head is computed and plotted below.
3

Q (m /hr)

V (m/s)

Re

f

H p (m)

0
500
1000
1500
2000
2500
3000
3200
3500
3900
4000

0.00
0.38
0.75
1.13
1.51
1.88
2.26
2.41
2.64
2.94
3.01

0.00E+00
2.56E+05
5.11E+05
7.67E+05
1.02E+06
1.28E+06
1.53E+06
1.64E+06
1.79E+06
1.99E+06
2.04E+06

0.0000
0.0155
0.0140
0.0133
0.0129
0.0126
0.0124
0.0124
0.0123
0.0122
0.0122

10.0
10.3
11.1
12.3
14.0
16.1
18.6
19.8
21.6
24.3
25.0

998

kg/m

3

ρ Q g  Hp
ηp

Required Pump Head
30

H (m)

25

Pump Head

20

Flow Rates of Interest

15
10
5
0
0

500

1000

1500

2000

2500

3000

3500

3

Q (m /hr)

The maximum flow rate is:
17172 gpm
The associated head is:
80 ft
Based on these data and the data of Figures D.1 and D.2, we could choose two 16A 18B pumps in parallel,
or three 10AE14 (G) pumps in parallel. The efficiency will be approximately
90%
Therefore, the required power would be:

3

191.21 kW at Q =

3200 m /hr

286.47 kW at Q =

3900 m /hr

3

4000

Problem 10.68

[Difficulty: 3]

Given:

System shown, design flow rate

Find:

Head losses for suction and discharge lines, NPSHA,
select a suitable pump

Solution:
We will apply the energy equation for steady, incompressible pipe flow.

Basic equations:
2
2
 p
  p
V1
V2

1
2
 ρ  α1 2  g  z1   ρ  α2  2  g z2  h lT  hp

 

2

h lT  f 

2

2

Le V
L V
V

 Σ f  
 Σ K
D 2
D 2
2

H

h
g

Assumptions: 1) p ent = pexit = patm 2) V ent = Vexit = 0
The given or available data is

Q  800 

From Table A.8 at 20 oC ν  1.01  10

L
min

2
6 m



s

D  10 cm
p v  2.34 kPa

D

 4.6  10

At the inlet:

4

ρ  998 

V

Q
A



4 Q

3

2

V  1.698

p 2tabs  p v
ρ g

Re 

s

V D
ν

NPSHA 

 1.681  10

5

2

 0.019

In this case: Le  75 D K  0.78 L  2  m
z2  8.7 m z1  7.2 m

2

 L Le  V2
V 
p 2t  ρ g   z2  z1   f   
   K 
2

D D  2

NPSHA 

m

 e 1.11 6.9



f  1.8 log


Re 

 3.7 D 

2
 p
2
V2

 L Le  V2
2
V
g  z1  
 α2 
 g  z2   f   
   Σ K
2
2
ρ

D D  2

The NPSHA can be calculated:

kg

π D

Therefore we can calculate the friction factor:

Solving for total pressure at 2:

p atm  101.3  kPa

m

At the specified flow rate, the speed of the water is:

e

e  0.046  mm

p 2t  18.362 kPa (gage)

p 2t  p atm  p v
ρ g

NPSHA  8.24 m

For the entire system:

In this case:

2
2
Le V2
L V
V
g  z1  z2  f  
 f 
 K
 hp
D 2
D 2
2





z1  7.2 m z2  88 m

L  2  m  400  m  402 m

Solving for the required head at the pump:

In U.S. Customary units:

Q  211  gpm





Hp  z2  z1 

Le  ( 75  55  8  2  30)  D

 
L 
 2
f   L  e   K  V 
  D D   2  g

K  0.78  1

Hp  92.7 m

Hp  304  ft

A pump would be selected by finding one for which the NPSHR is less than the NPSHA. Based on these data and the information
in Appendix D, a 2AE11 or a 4AE12 pump would be capable of supplying the required head at the given flow rate. The pump
should be operated at a speed between 1750 and 3500 rpm, but the efficiency may not be acceptable. One should consult a
complete catalog to make a better selection.

Problem 10.69
8.
8
8.155
.15
155

[Difficulty: 3]

Problem 10.70

[Difficulty: 3]

Given:

Flow system and data of Problem 10.68; data for pipe aging from Problem 10.63

Find:

Pumps to maintain system flow rates; compare delivery
to that with pump sized for new pipes only

Solution:
We will apply the energy equation for steady, incompressible pipe flow.

Basic equations:
2
2
  p
V1
V2
 p1

2

α


g

z

α


g

z

ρ
1 2
1  ρ
2 2
2  h lT  h p

 

2

h lT  f 

2

2

Le V
L V
V

 Σ f  
 Σ K 
D 2
D 2
2

H

h
g

Assumptions: 1) p ent = pexit = patm 2) V ent = Vexit = 0
The given or available data is

Q  800

L
min

2
6 m

From Table A.8 at 20 oC ν  1.01  10



s

At the specified flow rate, the speed of the water is:

e
D

4

 4.6  10

e  0.046 mm

p v  2.34 kPa

ρ  998

p atm  101.3 kPa

kg
3

m
V

Q
A



4 Q

V  1.698

2

π D

m
s

Re 

V D
ν

 e 1.11 6.9



f  1.8 log


Re 

 3.7 D 

Therefore we can calculate the friction factor:

For the entire system:

In this case:

D  10 cm

5

 1.681  10

2

 0.019

2
2
Le V2
L V
V
g  z1  z2  f  
 f 
 K
 hp
D 2
D 2
2





z1  7.2 m z2  87 m

L  2  m  400  m  402 m

Solving for the required head at the pump:





Hp  z2  z1 

Le  ( 75  55  8  2  30)  D

 
L 
 2
f   L  e   K  V 
  D D   2  g

For old pipes, we apply the multipliers from Problem 10.63: f20  5.00 fnew
The results of the analysis, computed in Excel, are shown on the next page.

f40  8.75 fnew

K  0.78  1

The required pump head is computed and plotted below.
New
Q (L/min) V (m/s)
H p (m) Q (gpm)
Re
f
0
200
400
600
800
922
1000
1136
1200
1400
1600
1800
2000

0.000
0.424
0.849
1.273
1.698
1.957
2.122
2.410
2.546
2.971
3.395
3.820
4.244

0.00E+00
4.20E+04
8.40E+04
1.26E+05
1.68E+05
1.94E+05
2.10E+05
2.39E+05
2.52E+05
2.94E+05
3.36E+05
3.78E+05
4.20E+05

0.0000
0.0231
0.0207
0.0196
0.0189
0.0187
0.0185
0.0183
0.0182
0.0180
0.0178
0.0177
0.0176

79.80
80.71
83.07
86.77
91.80
95.52
98.14
103.20
105.80
114.77
125.04
136.62
149.51

0.00
52.84
105.68
158.52
211.36
243.64
264.20
300.08
317.04
369.88
422.72
475.56
528.40

New
H p (ft)

20 yo
H p (ft)

40 yo
H p (ft)

Pump (ft)

261.81
264.81
272.52
284.67
301.17
313.38
321.99
338.59
347.12
376.54
410.25
448.24
490.51

261.81
276.57
314.52
374.19
455.19
515.10
557.37
638.8
680.64
824.95
990.27
1176.6
1383.9

261.81
287.59
353.89
458.10
599.58
704.21
778.03
920.2
993.31
1245.3
1534.0
1859.4
2221.4

856.54
840.48
792.30
712.00
599.58
515.10
455.04
338.59
278.38
69.59
-171.31
-444.33
-749.47

If we assume that the head at 800 L/min for 40 year old pipe is 70% of the maximum head for the pump,
2

and that the pump curve has the form H = H 0 - AQ :
H 800 =
599.58 ft
We plot the pump curve along with the head loss on the graph below:
856.54 ft
H0=
A = 0.005752 ft/gpm2

Required Pump Head
800

New Pipe
20 Years Old
40 Years Old
Pump Curve

700
H (ft)

600
500
400
300
200
100

150

200
Q (gpm)

250

300

Sizing the pump for 800 L/min for at 40 years would (assuming no change in the pump characteristics) produce
922 L/min at 20 years and 1136 L/min for new pipe.
Since the head increases by a factor of two, the extra head could be obtained by placing a second identical pump
in series with the pump of Problem 10.68.

350

Problem 10.71

[Difficulty: 3]

Problem 10.72

Given:

Flow from pump to reservoir

Find:

Select a pump to satisfy NPSHR

Solution:
Basic equations

[Difficulty: 3]

2
2
 p
V1
V2
  p2

1

α


g

z

α


g

z

ρ
1  ρ
2  h lT  h p
2
2

 


2

V1
L V1
h lT  h l  h lm  f  
 Kexit 
D 2
2

2

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 is approximately 1 4) V 2 << V 1
2
2
 p1 V2 
L V
V

   z2   f  

 Kexit 
 Hp
D 2 g
2 g
 ρ g 2 g 

Note that we compute head per unit weight, H, not head per unit mass, h, so
the energy equation between Point 1 and the free surface (Point 2) becomes
Solving for H p

2
2
2
p1
V
L V
V
Hp  z2 

 f 
 Kexit 
ρ g
2 g
D 2 g
2 g

From Table A.7 (68oF)

ρ  1.94

slug
ft

For commercial steel pipe

3

e  0.00015  ft

ν  1.08  10

(Table
8.1)

Given

For the exit

Kexit  1.0

Note that for an NPSHR of 15 ft this means

2

Re 

s

e

so

D

V D

Re  6.94  10

ν

p1
ρ g

π D
4

V

 0.0002

f  0.0150

2
p1
L V
Hp  z2 
 f 
ρ g
D 2 g

 15 ft

Q  4.42

5

2
p1
L V
Hp  z2 
 f 
ρ g
D 2 g

so we
find

2

Q 



 e



1
2.51
D

 2.0 log 

3.7
f
Re f 


Flow is turbulent:

Note that

 5 ft

ft

Hp  691  ft

3

Q  1983 gpm

s

For this combination of Q and Hp, from Fig. D.11 the best pump appears to be a Peerless two-stage 10TU22C operating at 1750 rpm
After 10 years, from Problem 10.63, the friction factor will have increased by a factor of 2.2 f  2.2  0.150
We now need to solve

2
p1
L V
Hp  z2 
 f 
ρ g
D 2 g

V 

for the new velocity
V

p1 


  Hp  z2 
f L 
ρ g 

2  D g

2

Q 

π D
4

V

f  0.330

Q  0.94

V  2.13

ft

ft
s

and f will still be 2.2  0.150

3

s

Q  423  gpm

Much less!

Problem 10.73

Given:

Water pipe system

Find:

Pump suitable for 300 gpm

[Difficulty: 3]

Solution:
2
2
  p
 p
V1
V2

1
2

α


g

z

α


g

z

ρ
1 2
1  ρ
2 2
2  h l

 


f 

64

(Laminar)

Re

2

h lT  f 

L V

D 2

 e



D
1
2.51

 2.0 log 
 (Turbulent)
3.7
f
Re f 

2

The energy equation can be simplified to ∆p  ρ f 

L V

D 2

This can be written for each pipe section
2

Pipe A (first section)

LA VA
∆pA  ρ fA 

DA 2

Pipe B (1.5 in branch)

LB VB
∆pB  ρ fB

DB 2

Pipe C (1 in branch)

LC VC
∆pC  ρ fC

DC 2

(1)

2

(2)
2

(3)
2

LD VD
∆pD  ρ fD

DD 2
In addition we have the following contraints
Pipe D (last section)

(4)

QA  QD  Q
Q  QB  QC

(5)

∆p  ∆pA  ∆pB  ∆pD
∆pB  ∆pC

(7)

(6)

(8)

We have 2 unknown flow rates (or, equivalently, velocities); We solve the above eight equations simultaneously
Once we compute the flow rates and pressure drops, we can compute data for the pump
∆ppump  ∆p

and

The calculations, performed in Excel, are shown on the next page.

Qpump  QA

Wpump  ∆ppump Qpump

Pipe Data:
Pipe
A
B
C
D

L (ft)

D (in)

e (ft)

150
150
150
150

1.5
1.5
1
1.5

0.00085
0.00085
0.00085
0.00085

Fluid Properties:
3

ρ=

1.94

slug/ft

μ =

2.10E-05

lbf-s/ft

Q=

300

gpm

0.668

ft /s

2

Flow Rate:

=
Flows:

Heads:

Constraints:

3

3

3

3

3

Q A (ft /s)
0.668

Q B (ft /s)
0.499

Q C (ft /s)
0.169

Q D (ft /s)
0.668

V A (ft/s)
54.47

V B (ft/s)
40.67

V C (ft/s)
31.04

V D (ft/s)
54.47

Re A
6.29E+05

Re B
4.70E+05

Re C
2.39E+05

Re D
6.29E+05

fA
0.0335

fB
0.0336

fC
0.0384

fD
0.0335

Δp A (psi)
804.0

Δp B (psi)
448.8

Δp C (psi)
448.8

Δp D (psi)
804.0

(8) Δp B = Δp C
0.00%

(6) Q = Q B + Q C
0.00%
Error:

0.00%

Vary Q B and Q C
using Solver to minimize total error

Q (gpm)
Δp (psi)
P (hp)
2057
300
360
This is a very high pressure; a sequence of pumps would be needed
For the pump:

Problem 10.74

[Difficulty: 3]

Problem 10.75

Given:

Pump and supply pipe system

Find:

Head versus flow curve; Flow for a head of 85 ft

[Difficulty: 4]

Solution:
2
2
 p
  p
V1
V2

1
2
Basic equations: 
 α1 
 g  z1   
 α2 
 g  z2  h lT  h pump
2
2
ρ
 ρ

2

Applying to the 70 ft branch (branch a)

2

h lT  f 

2
2
Le V2
L V
V

 f 
 K
D 2
D 2
2

2

Le Va
Va
L Va
g  Ha  f  
 f 
 K
 g  Hpump
2
D 2
D 2

Lea
where Ha  70 ft and
is due to a standard T branch (= 60) and a standard elbow (= 30) from Table 8.4, and
D
K  Kent  Kexit  1.5 from Fig. 8.14
  L Lea   Va
(1)
Hpump  Ha  f   
  K 
D 
 D
 2 g
Applying to the 50 ft branch (branch b)

  L Leb   Vb
Hpump  Hb  f   
  K 
D 
 D
 2 g

(2)

Leb
where Hb  50 ft and
is due to a standard T run (= 20) and two standard elbows (= 60), and K  Kent  Kexit  1.5
D
Here are the calculations, performed in Excel:
Given data:
L
e
D
K
L e a /D
L e b /D
Ha
Hb

= 1000 ft
= 0.00085 ft
= 6.065 in
=
1.5
=
90
=
80
=
70
ft
=
50
ft

ρ =

3
1.94 slug/ft
ν = 1.06E-05 ft2/s

Computed results: Set up Solver so that it varies all flow rates to make the total head error zero
H p ump (ft) Q (ft3 /s) Q a (ft3 /s) V a (ft/s)
72.0
1.389
0.313
1.561
74.0
1.574
0.449
2.237
76.0
1.724
0.553
2.756
78.0
1.857
0.641
3.195
80.0
1.978
0.718
3.581
82.0
2.090
0.789
3.931
84.0
2.195
0.853
4.252

Re a
7.44E+04
1.07E+05
1.31E+05
1.52E+05
1.71E+05
1.87E+05
2.03E+05

fa
H pump (Eq. 1) Q b (ft3 /s) V b (ft/s)
0.0248
72.0
1.076
5.364
0.0241
74.0
1.125
5.607
0.0238
76.0
1.171
5.839
0.0237
78.0
1.216
6.063
0.0235
80.0
1.260
6.279
0.0234
82.0
1.302
6.487
0.0234
84.0
1.342
6.690

Re b
2.56E+05
2.67E+05
2.78E+05
2.89E+05
2.99E+05
3.09E+05
3.19E+05

fb
H pu mp (Eq. 2) H (Errors)
0.0232
72.0
0.00
0.0231
74.0
0.00
0.0231
76.0
0.00
0.0231
78.0
0.00
0.0231
80.0
0.00
0.0230
82.0
0.00
0.0230
84.0
0.00

85.0

2.246

0.884

4.404

2.10E+05 0.0233

85.0

1.362

6.789

3.24E+05 0.0230

85.0

0.00

86.0
88.0
90.0
92.0
94.0

2.295
2.389
2.480
2.567
2.651

0.913
0.970
1.023
1.074
1.122

4.551
4.833
5.099
5.352
5.593

2.17E+05
2.30E+05
2.43E+05
2.55E+05
2.67E+05

86.0
88.0
90.0
92.0
94.0

1.382
1.420
1.457
1.494
1.529

6.886
7.077
7.263
7.445
7.622

3.28E+05
3.37E+05
3.46E+05
3.55E+05
3.63E+05

86.0
88.0
90.0
92.0
94.0

0.00
0.00
0.00
0.00
0.00

0.0233
0.0233
0.0232
0.0232
0.0231

For the pump head less than the upper reservoir head flow will be out of the reservoir (into the lower one)

0.0230
0.0230
0.0230
0.0230
0.0229

Total Error:

0.00

Head Versus Flow Rate
100

Head (ft)

95
90
85
80
75
70
1.0

1.5

2.0
3

Q (ft /s)

2.5

3.0

Problem 10.76

Given:

Data on flow from reservoir/pump

Find:

Appropriate pump; Reduction in flow after 10 years

Solution:

[Difficulty: 4]

2
2
 p
V1
V4
  p 4

1
 ρ g  α 2 g  z1   ρ g  α 2  g  z4  HlT  Hp

 


Basic equation:

for flow from 1 to 4

2
2
Le V2
L V
V
HlT  f  
 f 
 K
D 2 g
D 2 g
2 g

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) V 2 = V3 = V4 (constant area pipe)
ρ  1000

Given or available data

kg

ν  1.01  10

3

2
6 m



m

s

p v  2.34 kPa

(Table A.8)

Q  0.075 

3

p 2  150  kPa

For minor losses we have

p 3  450  kPa

D  15 cm

e  0.046  mm

z1  20 m

z4  35 m

V 

Le

Four elbows:

D
At the pump inlet

NPSHA 

The head rise through the pump is Hp 

p2 

p3  p2
ρ g

1
2

4 Q

V  4.24

2

π D

 4  12  48

(Fig. 8.16)

Square inlet:

m
s

m
s

Kent  0.5

2

 ρ V  p v

NPSHA  16.0 m

ρ g
Hp  30.6 m

3

Hence for a flow rate of Q  0.075

m

or Q  1189 gpm and Hp  30.6 m or Hp  100  ft, from
s
Appendix D. Fig. D3 a Peerless4AE11 would suffice
2
2
Le V2
L V
V
We do not know the pipe length L! Solving the energy equation for it:z1  z4  HlT  Hp  f  
 f 
 Kent
 Hp
D 2 g
D 2 g
2 g

For f

Given

Re 

V D
ν

5

Re  6.303  10

 e


1
D
2.51 
 2.0 log 


f
 3.7 Re f 

and

e
D

f  0.0161

4

 3.07  10

L 

Hence, substituting values

 Le  Kent D
 z1  z4  Hp  D   
2
f
D
f V

2 g D





From Problem 10.63, for a pipe D  0.15 m or D  5.91 in, the aging over 10 years leads to

L  146 m
fworn  2.2 f

We need to solve the energy equation for a new V

Vworn 

2

Hence

Qworn 

π D
4



2  g  z1  z4  Hp



Le 

L
fworn  
D D

  Kent


3

 Vworn

m
Qworn  0.0510
s
3

∆Q  Qworn  Q

Check f

Reworn 

m
Vworn  2.88
s

Vworn D
ν

∆Q  0.0240

Given

Hence using 2.2 x 0.0161 is close enough to using 2.2 x 0.0165

m

∆Q

s

Q

 e



D
1
2.51
 2.0 log 


3.7
f
Reworn f



 32.0 %

f  0.0165

Problem 10.77
8.124

[Difficulty: 4] Part 1/2

Problem 10.77

[Difficulty: 4] Part 2/2

Problem 10.78

[Difficulty: 4]

8.158

Problem 10.79

[Difficulty: 4]

Given:

Sprinkler system for lakeside home

Find:

(a) Head loss on suction side of pump
(b) Gage pressure at pump inlet
(c) Hydraulic power requirement for the pump
(d) Change in power requirement if pipe diameter is changed
(e) Change in power requirement if the pump were moved

Solution:


L34 = 45 m
30 m
L12 = 20 m






3m

We will apply the energy equation for steady, incompressible pipe flow.

Basic equations:
2
2
 p
  p
V1
V2

1
2

α


g

z

α


g

z

ρ
1 2
1  ρ
2 2
2  h lT  h p

 

2

h lT  f 

2

2

Le V
L V
V

 Σ f  
 Σ K
D 2
D 2
2

H

h
g

Assumptions: 1) p 1 = patm 2) V 1 = 0
The given or available data is

Q  40

L
min

D  2  cm

e  0.15 mm

z1  0  m z2  3  m z3  z2

From Table A.8 at 20 oC ν  1.01  10

2
6 m



s

At the specified flow rate, the speed of the water is:

e
D

 7.5  10

3

Between 1 and 2:

 p2


z4  33 m

p v  2.34 kPa

ρ  998 

p 4  300  kPa (gage)

L12  20 m L34  45 m
kg
3

m
V

Q
A



4 Q
2

π D

Therefore we can calculate the friction factor:



p atm  101.3  kPa

V  2.122

m
s

Re 

V D
ν


 e  1.11 6.9

f  1.8 log


Re 

 3.7 D 

2
2

 L12 Le  V2
V
V
 α2 
 g  z2   f  

   K
ρ
2
D 2
2

 D

 4.202  10

4

2

 0.036

In this case: Le  ( 30  16)  D

K  0.78

2
 L12 Le  V2
V
HlT12  f  


 K
D  2 g
2 g
 D

The head loss before the pump is:

HlT12  8.844 m

 V2

p 2  ρ 

Solving for pressure at 2:



2
 L12 Le  V2
V 
 g  z2  f  

   K 
2
D 2
2
 D

p 2  54.946 kPa (gage)

To find the pump power, we need to analyze between 3 and 4:
2
  p4

 p3
 L34 Le  V2
V
  g  z3     g  z4   f  

   K
D 2
2
ρ
 ρ

 D


 L34 Le  V2
p 3  p 4  ρ g  z4  z3  f  

 
D 2

 D





Now we can calculate the power:

In this case: Le  ( 16  16)  D

p 3  778.617  kPa

Hp 

Thus the pump head is:

V

A

4 Q



2

V  0.531

π D

m
s

V D

Re 

ν

 2.101  10

4

e
D

3

 3.75  10

2
 L12 Le  V2
V 
 g  z2  f  

   K 
2
2
D 2
 D

p 2  ρ 

Le  ( 16  16)  D

K  0


 L34 Le  V2
p 3  p 4  ρ g  z4  z3  f  

 
D 2

 D

Hp 

p3  p2
ρ g

 58.44 m

D  4  cm

 e 1.11 6.9



f  1.8 log


3.7

D
Re 




 V2

K  0.78



 85.17 m

Wp  556 W

Le  ( 30  16)  D



ρ g

Wp  ρ g  Q Hp

Changing to 4 centimeter pipe would reduce the mean velocity and hence the head loss and minor loss:
Q

p3  p2

K  0

2

 0.032

p 2  26.922 kPa (gage)

p 3  778.617  kPa (gage)



Wpnew  ρ g  Q Hp  381.283 W

∆Wp 

Wpnew  Wp
Wp

 31 %

2

The pump should not be moved up the hill. The NPSHA is:

NPSHA 

V
p 2  p atm  ρ
 pv
2

If anything, the pump should be moved down the hill to increase the NPSHA.

ρ g

 4.512 m

for 2-cm pipe.

Problem 10.80

[Difficulty: 4]









Given:

Fire nozzle/pump system

Find:

Appropriate pump; Impeller diameter; Pump power input needed

Solution:
Basic equations

2
2
2
 p
V2
V3
  p3

2
L V2
 ρ  α 2  g z2   ρ  α 2  g z3  h l h l  f  D  2

 


for the hose

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 2 and 3 is approximately 1 4) No minor loss
2
2
 p
V2
V1
  p1

2
 ρ  α 2  g z2   ρ  α 2  g z1  h pump

 


for the pump

Assumptions: 1) Steady flow 2) Incompressible flow 3) α at 1 and 2 is approximately 1 4) No minor loss
The first thing we need is the flow rate. Below we repeat Problem 8.179 calculations
Hence for the hose

∆p
ρ



p2  p3
ρ

2

 f

L V

D 2

or

2  ∆p D

V

ρ f  L

We need to iterate to solve this for V because f is unknown until Re is known. This can be done using Excel's Solver, but here:
∆p  750  kPa

L  100  m

Make a guess for f f  0.01

Given

2  ∆p D

V  7.25

ρ f  L

2  ∆p D
ρ f  L

V  5.92

2  ∆p D
ρ f  L

V  5.81

m

Re 

s

2  ∆p D
ρ f  L

s

Re 

V D

kg

ν  1.01  10

3

2
6 m



m

ν

Re  2.51  10

5

V D
ν

Re  2.05  10

5

Re  2.01  10

5

Re  2.01  10

5

f  0.0156
m

Re 

s

 e



1
2.51
D

 2.0 log 

3.7
f
Re f 


V 

m

ρ  1000

f  0.0150

 e


D
1
2.51 

 2.0 log 

f
 3.7 Re f 
V 

Given

V 

D  3.5 cm

 e



D
1
2.51

 2.0 log 

3.7
f
Re f 

V 

Given

e  0

V  5.80

V D
ν

f  0.0156

m
s

Re 

V D
ν

s

2

Q 

π D

V

4

Q  5.578  10

3
3m

3

Q  0.335 

s

We have

p 1  350  kPa

For the pump

2
2
 p
V2
V1
  p1

2
 ρ  α 2  g z2   ρ  α 2  g z1  h pump

 


so

h pump 

p 2  700  kPa  750  kPa

p2  p1

Hpump 

or

ρ

m

min

p 2  1450 kPa

p2  p1

Hpump  112 m

ρ g

3

We need a pump that can provide a flow of Q  0.335 

m

min

or Q  88.4 gpm, with a head of Hpump  112 m or Hpump  368  ft

From Appendix D, Fig. D.1 we see that a Peerless 2AE11 can provide this kind of flow/head combination; it could also handle four
such hoses (the flow rate would be 4  Q  354  gpm). An impeller diameter could be chosen from proprietary curves.
The required power input is

Wh
Wm 
ηp
Wm 

Prequired 

Ppump
η

where we choose ηp  75 % from Fig. 10.15

ρ Q g  Hpump

Prequired 

ηp
6.14 kW
70 %

Wm  8.18 kW

for one hose or

Prequired  8.77 kW

or

4  Wm  32.7 kW

for four

4  Prequired  35.1 kW for four

Problem 10.81

[Difficulty: 4]

Given:

Manufacturer data for a pump

Find:

(a) Plot performance and develop curve-fit equation.
(b) Calculate pump delivery vs discharge height for length of garden hose

Solution:
h lT  f 

Basic equations:

2
2
Le V2
L V
V

 f 
 K
D 2
D 2
2

H

h

2

Hp  H0  A Q

g

2

h lT  f 

For this case, Le = K = 0, therefore:
Given data:
L =
e =
D =
ρ =

Here are the results calculated in Excel:

Here are the data for the head generated by the pump, as well as the head losses for the hose and the pipe:
15
0
20

m
ft
mm

998

kg/m3

D =
e =

ν = 1.01E-06 m /s
2

H 0= 7.48727 m
A=

L V

D 2

0.0012 m/(L/min)

2

2

20
0

mm
mm

D =
e =

25
0.15

Head (m)

fa

H L (m)

Q (L/min)

Q

z fit (m)

V (m/s)

Re a

fa

H L (m)

V (m/s)

0.3
0.7
1.5

77.2
75.0
71.0

5959.840
5625.000
5041.000

0.320
0.722
1.425

4.096
3.979
3.767

8.11E+04
7.88E+04
7.46E+04

0.0188
0.0189
0.0191

12.1
11.4
10.4

2.621
2.546
2.411

6.49E+04 0.0334
6.30E+04 0.0334
5.97E+04 0.0335

7.0
6.6
6.0

3.0
4.5
6.0
8.0

61.0
51.0
26.0
0.0

3721.000
2601.000
676.000
0.000

3.012
4.359
6.674
7.487

3.236
2.706
1.379
0.000

6.41E+04
5.36E+04
2.73E+04
0.00E+00

0.0198
0.0206
0.0240
0.0000

7.9
5.8
1.7
0.0

2.071
1.732
0.883
0.000

5.13E+04
4.29E+04
2.19E+04
0.00E+00

4.4
3.1
0.8
0.0

10
9
8
7
6
5
4
3
2
1
0

Data
Fit
Hose
Pipe

10

Re a

z (m)

Head Versus Flow Rate for Pump

0

mm
mm

20

30

40
Q (L/min)

50

60

70

80

0.0337
0.0340
0.0356
0.0000

To determine the discharge heights for the hose and the pipe,
For the hose:
Re a
Q (L/min) V (m/s)
0.0
0.000
0.00E+00
10.0
0.531
1.05E+04
20.0
1.061
2.10E+04
30.0
1.592
3.15E+04
40.0
2.122
4.20E+04
50.0
2.653
5.25E+04
60.0
3.183
6.30E+04

we subtract the head loss from the head generated by the pump.
For the pipe:
Re a
fa
fa
H L (m) Disch (m) V (m/s)
0.0000
0.000
7.487
0.000 0.00E+00 0.0000
0.0305
0.328
7.039
0.340 8.40E+03 0.0398
0.0256
1.101
5.906
0.679 1.68E+04 0.0364
0.0232
2.248
4.157
1.019 2.52E+04 0.0351
0.0217
3.740
1.823
1.358 3.36E+04 0.0345
0.0207
5.558
-1.077
1.698 4.20E+04 0.0340
0.0199
7.689
-4.531
2.037 5.04E+04 0.0337

H L (m) Disch (m) % Diff
0.000
7.487
0%
0.140
7.227
-3%
0.514
6.492
-9%
1.115
5.290
-21%
1.943
3.620
-50%
2.998
1.483
4.279
-1.122

Flow Rate Versus Discharge Height

Flow Rate (L/min)

60
50

Hose
Pipe

40
30
20
10
0
0

1

2

3

4

5

6

7

Discharge Height (m)
The results show that the 15% performance loss is an okay "ball park" guess at the lower flow rates, but not very good
at flow rates above 30 L/min.

8

Problem 10.82

[Difficulty: 4]

Swimming pool filtration system, filter pressure drop is Δp=0.6Q2, with Δp in psi and Q in gpm

Given:
Find:

Speed and impeller diameter of suitable pump; estimate efficiency

Solution:
We will apply the energy equation for steady, incompressible pipe flow.

Basic equations:
2
2
 p
  p
2
2
Le V2
V1
V2

1
L V
V
2
 ρ  α1 2  g  z1   ρ  α2  2  g z2  h lT  hp h lT  f  D  2  Σ f  D  2  Σ K 2

 


Q  30 gpm Q  1.893  10

The given or available data are:

ρ  1.93

slug
ft

3

ρ  995

3
3m

s

kg

ν  1.06  10

D  20 mm

3

 5 ft



2

s

ν  9.848  10

H

h
g

2
7m

s

e  0  mm

m

Setting state 1 at the pump discharge, state 2 at the tee, state 3a downstream of the filter, and state 3b after the 40 ft pipe, we can look
at the pressure drop between 1 and 2:
V1  V2

e
D

e
D

0

0

V

Q
A

4 Q



2

V  6.025

π D

m

Re 

s

V D
ν

 1.224  10

5

 e 1.11 6.9



f  1.8 log


Re 

 3.7 D 

Therefore we can calculate the friction factor:

2

 0.017
2

Le  0 K  0 and therefore the pressure drop is:

Since this is a straight run of pipe:

∆p12  ρ f 

V



L

2 D

∆p12  47.04  kPa

Since both legs exhaust to the same pressure, the pressure drops between the two must be equal, and the flow rates must equal the
total flow rate of the system. This requires an iterative solution, using Solver in Excel. The result is:
3
3 m

Qa  1.094  10



s

3
4 m

Qb  7.99  10



The resulting pressure drop is

s

∆p23  42.96  kPa

Neglecting any pressure at the pump inlet, the pump must supply:
∆ppump  ∆p12  ∆p23  90.0 kPa
∆ppump
The resulting head is: Hpump 
 9.226 m in U.S. units: Hpump  30.269 ft
ρ g
This head is too low for any of the pumps in Fig. D.1. Therefore, assuming a speed of 3500 rpm:
In customary units:

The pump power is:

Ncu  2733 N  1485 So from Figure 10.9 we can estimate the efficiency:
Wp 

ρ Q g  Hpump
η

 262.056 W

N 

ω Q



g  Hpump



0.75

 0.544

η  65 %
Wp  262.1 W

Problem 10.83

[Difficulty: 4] Part 1/2

Problem 10.83

[Difficulty: 4] Part 2/2

Problem 10.84

Given:

Data on centrifugal fan

Find:

Plot of performance curves; Best effiiciency point

[Difficulty: 3]

Solution:
ηp 

Basic
equations:

Wh

Wh  Q ∆p

Wm

∆p  ρw g  ∆h (Note: Software cannot render a dot!)

Here are the results, calculated using Excel:
ρw =

slug/ft3

1.94

Fitting a 2nd order polynomial to each set of data we find
Δp =-1.51x10 Q + 2.37x10 Q + 0.0680
-6

Q (ft /s) Δp (psi) Pm (hp) P h (hp) η (%)
106
141
176

0.075
0.073
0.064

2.75
3.18
3.50

2.08
2.69
2.95

75.7%
84.7%
84.3%

211
246
282

0.050
0.033
0.016

3.51
3.50
3.22

2.76
2.13
1.18

78.7%
60.7%
36.7%

2

-4

η =-3.37x10 Q + 0.0109Q -0.0151
-5

3

2

Finally, we use Solver to maximize η by varying Q :
Q (ft /s)

Δp (psi)

η (%)

161.72

0.0668

86.6%

3

Fan Performance Curve
BEP

0.08

100%

0.07
0.06

75%

η

Δp

0.04

50%

0.03
25%

0.02
0.01
0.00
100

120

140

160

180

200
3

Q (ft /s)

220

240

260

280

0%
300

η (%)

Δp (psi)

0.05

Problem 10.85

[Difficulty: 3]

Given:

Data on centrifugal fan and square metal duct

Find:

Minimum duct geometry for flow required; Increase if fan speed is increased

Solution:
Wh

Basic
equations:

ηp 

Wh  Q ∆p

and for the duct

L V
∆p  ρair f 

Dh 2

and fan scaling

Q  200 

Wm
2

ft

∆p  ρw g  ∆h

(Note: Software cannot render a dot!)

2

4 A
4 H
Dh 

H
P
4 H

3

s

ω  750  rpm

ω'  1000 rpm

Q' 

ω'
ω

Q

Q'  266.67

Here are the results, calculated using Excel:

ρw =

1.94

slug/ft3

ρ air = 0.00237 slug/ft

Fitting a 2nd order polynomial to each set of data we find
Δp =-1.51x10 Q + 2.37x10 Q + 0.0680

3

-6

2

ν air = 1.58E-04 ft /s
L=
50
ft
Assume smooth ducting
Note: Efficiency curve not needed for this problem.
We use the data to get a relationship for pressure increase.
Q (ft3 /s) Δp (psi) Pm (hp) P h (hp) η (%)
106
141
176
211
246
282

0.075
0.073
0.064
0.050
0.033
0.016

2.75
3.18
3.50
3.51
3.50
3.22

2.08
2.69
2.95
2.76
2.13
1.18

75.7%
84.7%
84.3%
78.7%
60.7%
36.7%

-4

Now we need to match the pressure loss in the duct with
the pressure rise across the fan. To do this, we use
Solver to vary H so the error in  p is zero
Fan
Q (ft3 /s) Δp (psi)
266.67

H (ft)

V (ft/s)

1.703

91.94

Answers:
Q (ft3/s)
200.00

A plot of the performance curve is shown on the next page.

2

Re
9.91.E+05

f
0.0117

0.0238
Duct
Δp (psi)
0.0238

Error in Δp

0.00%

H (ft)

Q (ft3 /s)

H (ft)

1.284

266.67

1.703

ft

3

s

Fan Performance Curve
0.08

100%

0.07
0.06

75%

0.04

50%

0.03
0.02

25%

0.01
0.00
100

120

140

160

180

200
3

Q (m /s)

220

240

260

280

0%
300

η (%)

Δp (mm)

0.05

Problem 10.86

Given:

Data on centrifugal fan and various sizes

Find:

Suitable fan; Fan speed and input power

[Difficulty: 3]

Solution:
Q'

Basic
equations:

Q



 ω'    D' 
 ω  D 
  

3

h'
h



 ω' 
 ω
 

2

 

D' 


D

2

P'
P



 ω' 
 ω
 

3

 

5

D' 


D

We choose data from the middle of the table above as being in the region of the best efficiency
Q  176 

ft

3

s

∆p  0.064  psi

P  3.50 hp and

ω  750  rpm

D  3  ft

ρw  1.94

slug
ft

The flow and head are

Q'  600 

ft

3

h'  1  in At best efficiency point: h 

s

∆p
ρw g

3

 1.772  in

These equations are the scaling laws for scaling from the table data to the new fan. Solving for scaled fan
speed, and diameter using the first two equations
1

ω'  ω 

Q

2

3

 

h' 

1

4



 Q'   h 

ω'  265  rpm

D'  D 

Q' 

2

1

 

h

4



 Q   h' 

D'  76.69  in

This size is too large; choose (by trial and error)
Q  246 

ω'  ω 

ft

3

h 

s
1

3

2

4

h'
  

 Q'   h 
Q

0.033  psi
ρw g

ω'  514  rpm

 0.914  in

P  3.50 hp

D'  D 

1

1

2

4

h
  

 Q   h' 
Q' 

D'  54.967 in

Hence it looks like the 54-inch fan will work; it must run at about 500 rpm. Note that it will NOT be running at best
efficiency. The power will be
P'  P 

3

D'
  

 ω  D 
ω' 

5

P'  9.34 hp

Problem 10.87

[Difficulty: 3]

Given:

Data on centrifugal fan

Find:

Fan outlet area; Plot total pressure rise and power; Best effiiciency point

Solution:
ηp 

Basic equations:

Wh

p dyn 
At Q  200 

ft

Wh  Q ∆pt

Wm
1
2

∆p  ρw g  ∆ht

(Note: Software cannot render a dot!)

2

 ρair V

3

we have h dyn  0.25in
s
ρw

V

Hence

ρair

Q  V A

 2  g  h dyn

and

h dyn 

and

A

∆ht  ∆h  h dyn

ρw g

ρair V2

ρw 2



Q
V

The velocity V is directly proportional to Q, so the dynamic pressure at any flow rate Q is

The total pressure Δh t will then be

p dyn

h dyn  0.25 in 


3

ft 
 200  s 
Q

2

Δh is the tabulated static pressure rise

Here are the results, generated in Excel:
At Q =
h dyn =

200
0.25

3

ft /s
in

Hence

V = 33.13

ft/s

A = 6.03749 ft2
ρw =

1.94

slug/ft3

ρ air = 0.00237 slug/ft

Fitting a 2nd order polynomial to each set of data we find

3
-5

2

-3

h t =-3.56x10 Q + 6.57x10 Q + 1.883
3
Q (ft /s) Δp (psi) Pm (hp)

h dyn (in)

h t (in) Ph (hp) η (%)

106
141
176
211

0.075
0.073
0.064
0.050

2.75
3.18
3.50
3.51

0.07
0.12
0.19
0.28

2.15
2.15
1.97
1.66

2.15
2.86
3.27
3.32

246
282

0.033
0.016

3.50
3.22

0.38
0.50

1.29
0.94

3.01
2.51

-4

2

P h = -1.285x10 Q + 0.0517Q - 1.871

78.2%
η =-3.37x10 Q + 0.0109Q -0.0151
90.0%
93.5% Finally, we use Solver to maximize η by varying Q :
94.5%
3
Q (ft /s)
η (%)
P h (hp)
h t (in)
85.9%
-5

77.9%

A plot of the performance curves is shown on the next page.

161.72

2

2.01

3.13

86.6%

Fan Performance Curve
3.5

100%

3.0

h t (cm), Ph (kW)

2.0
50%
1.5

1.0
25%
0.5

0.0
100

120

140

160

180

200
3

Q (ft /s)

220

240

260

280

0%
300

η (%)

75%

2.5

Problem 10.88

[Difficulty: 4]

Problem 10.89

[Difficulty: 4]

10.88

10.88

Problem 10.90

[Difficulty: 3]

Problem 10.91

Given:

Data on turbine system

Find:

Model test speed; Scale; Volume flow rate

[Difficulty: 3]

1

Solution:
Wh  ρ Q g  H

Basic equations:

η

Wmech

NS 

Wh

slug
ft

3

2

1

5

2

4

ρ h

The given or available data is
ρ  1.94

ω P

Wp  36000  hp

Hp  50 ft

ωp  95 rpm

Hm  15 ft

Wm  50 hp

where sub p stands for prototype and sub m stands for model
Note that we need h (energy/mass), not H (energy/weight) h p  Hp  g

h p  1609

Hence for the prototype

NS 

5

NS 

2

4

ωm Wm

For dynamically similar conditions

5

2

4

Hp
2

ωp  Dp

Also

Qp
ωp  Dp

3

2

1

ρ  hm

2



ωm  NS

1

5

2

4

ρ  hm

Hm
2

so

Dp

2

Qm

Dm

so
3

ωm Dm

rad
ωm  59.3
s



2

ωp
ωm

Hm



Hp

 0.092

 Dm 
Qm  Qp 


ωp Dp
 
ωm

3

To find Q p we need efficiency. At Wp  36000  hp and Hp  50 ft from F ig. 10.17 we find (see below), for
1

NScu 

ft

2

2

s

1

Wm

ωm  Dm


2

h m  482.6 

NS  3.12

1

Then for the model

h m  Hm g

2

1

ρ  hp

2

s

1

ωp  Wp

ft

N( rpm)  P( hp)
5

H( ft)

4

2

 135.57

η  93 %

ωm  566  rpm

Hence from

and also

η

Wmech
Wh



Wmech
ρ Q g  H

Wm
Qm 
ρ g  Hm η

Wp
Qp 
ρ g  Hp  η

6

Qp  3.06  10  gpm

4

Qm  1.418  10  gpm

Problem 10.92

[Difficulty: 2]

Problem 10.93

[Difficulty: 2]

V1

U = R

Vj

D

Given:

Pelton turbine

Find:

1) Power 2) Operating speed 3) Runaway speed 4) Torque 5) Torque at zero speed

Solution:

2
2
 p
V1
Vj
  pj
 h lT
1

α


z

α


z

 ρ g
1  ρ g
j  g
2 g
2 g

 


Basic equations



2

V
h lT  h l  h lm  K
2



and from Example
Tideal  ρ Q R Vj  U  ( 1  cos( θ) )
θ  165  deg
10.5
Assumptions: 1) p j = pamt 2) Incompressible flow 3) α at 1 and j is approximately 1 4) Only minor loss at nozzle 5) z 1 = z j
Given data

Then

and

Hence

p 1g  700  psi

V1  15 mph

d  7.5 in

D  8  ft

p 1g

V1

2

2

K Vj


 
2 g
2 g
ρ g
g 2
π d

Vj

2

Vj 

o
r
ft

3

Q  Vj
4

Q  97.2

P  η ρ Q g  H

P  15392  hp

s

Urun  Vj





T  η Tideal

Stall occurs when

U  0

K  0.04

p 1g
ρ g

U  149 



ρ  1.94

slug
ft

1K

ωrun 

From Example 10.5 Tideal  ρ Q R Vj  U  ( 1  cos( θ) )
Hence

H 

η  86 %

2
 p
V1 
1g

2 

2 
 ρ

2

From Fig. 10.10, normal operating speed is around U  0.47 Vj
At runaway

ft
V1  22
s
D
R 
2

V1

H  1622 ft

ω 

s

ft
Vj  317 
s

2

2 g

ft

3

U
R

Urun

ω  37.2

rad
s

rad
ωrun  79.2
s

 D
2
 

ω  356  rpm
ωrun  756 rpm

5

Tideal  2.49  10  ft  lbf
5

T  2.14  10  ft  lbf
Tstall  η  ρ Q R Vj ( 1  cos ( θ) )

5

Tstall  4.04  10  ft lbf

Problem 10.94

Given:
Find:
Solution:
Basic
equations:

[Difficulty: 2]

Data on Francis turbines at Niagra Falls
Specific speed, volume flow rate to each turbine, penstock size
1

Wh  ρ Q g  H

η

Wmech

NS 

Wh

ω P

2

1

5

2

4

ρ h

2

h  g H

h lT  f 

L V

D 2

The given or available data is
ρ  998 

kg
3

Wmech  54 MW

ω  107  rpm

η  93.8%

H  65 m

Lpenstock  400 m Hnet  H 83%

m

1
2

h  g  H  637.4

The specific energy of the turbine is:

m

NS 

The specific speed is:

2

s

ω Wmech
1

5

2

4

ρ h
Solving for the flow rate of the turbine:

Wmech

Q 



ρ h  η

NS  0.814

3

 90.495

3

m

Q  90.5

s

2



m
h lT  g  H  Hnet  108.363
2
s

Based on the head loss:

2

Since

V

Q
A



4 Q

m
s

into the head loss equation:

2

π D
1

2

2

L 1
4 Q 
8 f  L Q
h lT  f    




D 2
2
5
2
π

D
D
π


Assuming concrete-lined penstocks:

D (m)
2.000
3.510
3.414
3.418

V (m/s)
28.807
9.354
9.888
9.862

 8  f  L Q2 

Solving for the diameter: D  
 π 2 h 
lT 

e  3  mm

Re
5.70E+07
3.25E+07
3.34E+07
3.34E+07

5

This will require an iterative solution.

If we assume a diameter of 2 m, we can iterate to find the actual diameter:

e /D
0.001500
0.000855
0.000879
0.000878

f
0.02173
0.01892
0.01904
0.01904

D (m)
3.510
3.414
3.418
3.418

D  3.42 m

Problem 10.95

[Difficulty: 2]

Problem 10.96

[Difficulty: 3]

10.39

10.39

Problem 10.97

Given:
Find:
Solution:

[Difficulty: 3]

Data on Pelton wheel
Rotor radius, jet diameter, water flow rate.

The given or available data is
ρ  999 

kg
3

2
6 m

Wmech  26.8 MW ω  225  rpm H  360 m

ν  1.14  10

m

From Bernoulli, the jet velocity is:
m
Vj  Cv  2  g  H  82.35
s

Vi 

2  g  H Assuming a velocity coefficient of



s
Cv  0.98

From Fig. 10.36, at maximum efficiency: U  R ω  0.47 Vj

(4% loss in the nozzle):

So the radius can be calculated:
R  0.47

From Fig. 10.37 the efficiency at full load is η  86% Thus: η 

Wmech
Q ρ g  H

ω

 1.643m

Solving for the flow rate:

Q 
π 2
Q
Therefore,
We can now calculate the jet velocity: Aj   Dj 
4
Vj

Vj

Q
Dj  2 
 0.37 m
π Vj

3

Wmech
η ρ g  H

 8.836

m
s

Dj  37.0 cm

mrate  ρ Q  8.83  10

3 kg

s

Problem 10.98

[Difficulty: 3]

Given:

Impulse turbine requirements

Find:

1) Operating speed 2) Wheel diameter 4) Jet diameter 5) Compare to multiple-jet and double-overhung
1

Solution:
Vj 

Basic
equations:

2 g H

NS 

ω P

2

1

5

2

4

ρ h
Model as optimum. This means. from Fig. 10.10
Given or available data

H  350  m

η

P

U  0.47 Vj

and from Fig. 10.17 NScu  5

P  15 MW

ρ  1.94

Vj 

m
Vj  82.9
s

2 g H

U  0.47 Vj

U  38.9

D 

Q  4.91

η ρ g  H
1

5

2

4

ρ  ( g  H)

2 U

s

NScu
NS 
43.46

NS  0.115

m
s

(1)

1

P
The wheel radius is

m

3

P

ω  NS

For a single jet

η  89 %

3

We need to convert from N Scu (from Fig. 10.17) to NS (see discussion after Eq. 10.18b).
The water consumption is Q 

with

slug
ft

Then

Q  Vj Aj

ρ Q g  H

ω  236  rpm

Dj 

4 Q

(2)

π Vj

Dj  0.275 m

2

D  3.16 m

(3)

ω

For multiple (n) jets, we use the power and flow per jet
ωn  ω n

From Eq 1
Results:

n 

From Eq. 2

ωn ( n ) 

 rpm

Djn 

Dj

an
d

n

Djn( n ) 

0.275

Dn 

n

Dn ( n ) 
m

1

236

2

333

0.194

2.23

3

408

0.159

1.82

4

471

0.137

1.58

5

527

0.123

1.41

A double-hung wheel is equivalent to having a single wheel with two jets

D

3.16

m

from Eq.
3

Problem 10.99

Given:

Data on impulse turbine

Find:

Plot of power and efficiency curves

[Difficulty: 2]

Solution:
Basic equations:

T  F R
H =

33

ρ =
R =

1.94
0.50

P  ω T

η

P

Here are the results calculated in Excel:

ρ Q g  H

ω (rpm) Q (cfm) F (lbf) T (ft-lbf) P (hp)

ft
slug/ft3
ft

0
1000
1500
1900
2200
2350
2600
2700

7.74
7.74
7.74
7.44
7.02
5.64
4.62
4.08

2.63
2.40
2.22
1.91
1.45
0.87
0.34
0.09

1.32
1.20
1.11
0.96
0.73
0.44
0.17
0.05

0.000
0.228
0.317
0.345
0.304
0.195
0.084
0.023

η (%)
0.0%
47.3%
65.6%
74.4%
69.3%
55.3%
29.2%
9.1%

Turbine Performance Curves
100%

0.40

90%

0.35

80%
0.30
70%
60%
50%

0.20

40%

0.15

30%
0.10
20%
0.05

10%

0.00

0%
0

500

1000

1500

ω (rpm)

2000

2500

3000

η (%)

P (hp)

0.25

Problem 10.100

[Difficulty: 4]

Problem 10.101

Given:
Find:

[Difficulty: 3]

Published data for the Tiger Creek Power Plant
(a) Estimate net head at the site, turbine specific speed, and turbine efficiency
(b) Comment on consistency of the published data

Solution:
NScu 

Basic Equations:

N P
5

H

N P

NS 

5

4

ρ ( g  H)

η

P
ρ Q g  Hnet

4

The given or available data is
kg

ρ  999 

3

3

P  58 MW

Q  21

m

m

Hgross  373  m

s

ν  1.14  10

2
6 m



s

Using data from Fig. 10.37, we will assume η  87% We can take this to estimate the net head:
Therefore:

Hnet
Hgross

 86.875 %

P
Hnet 
 324 m
ρ Q g  η

This is close to 87%, so the assumption for the efficiency was a good one.

From the same figure, we will assume NScu  5

Therefore the dimensionless specific speed is

NScu
NS 
 0.115
43.46

5

We may then calculate the rotational speed for the turbine:

N 



NS ρ g  Hnet

4

 108.8  rpm

P
The power output seems low for a turbine used for electricity generation; several turbines are probably used in this one plant.
To check the claims:

58 MW 
58 MW 

24 hr
1  day
s
3

21 m




365  day
yr
hr
3600 s

8 kW hr

 5.081  10 
 0.767 

kW hr
2

m m

This number is 50% higher than the claim.

yr
This is in excellent agreement with the claim.

Problem 10.102

Given:

Hydraulic turbine site

Find:

Minimum pipe size; Fow rate; Discuss

[Difficulty: 4]

Solution:
2
hl
L V
Hl 
 f 
g
D 2 g

Basic equations:

∆z
and also, from Example 10.15 the optimum is when Hl 
3

As in Fig. 10.41 we assume L  2  ∆z

and

Then, for a given pipe diameter D

V
2

Q  V

Also
f =

f  0.02
2 g  D Hl
f L

g D



3 f

2

π D

V
Ph  ρ Q
2

4

Pm  η Ph

Here are the results in Excel:

0.02

ρ = 998.00 kg/m3
η = 83%
3

D (cm) V (m/s) Q (m /s) P h (kW)
25
30
35
40
45
50

6.39
7.00
7.56
8.09
8.58
9.04

0.314
0.495
0.728
1.016
1.364
1.775

6.40
12.12
20.78
33.16
50.09
72.42

Pm (kW)
5.31
10.06
17.25
27.53
41.57
60.11

41.0

8.19

1.081

36.14

30.00

Turbine efficiency varies with specific speed
Pipe roughness appears to the 1/2 power, so has a secondary effect.
A 20% error in f leads to a 10% change in water speed
and 30% change in power.
A Pelton wheel is an impulse turbine that does not flow full of water;
it directs the stream with open buckets.
A diffuser could not be used with this system.
Use Goal Seek or Solver to vary D to make Pm 30 kW!

Power Versus Pipe Diameter
70
60

Pm (kW)

50
40
30
20
10
0
20

25

30

35

40
D (cm)

45

50

55

Problem 10.103

[Difficulty: 4]

Problem 10.104

[Difficulty: 3]

V2 = V3 = V
 
y
2h
x

V1

Given:

Data on boat and propeller

Find:

Propeller diameter; Thrust at rest; Thrust at 15 m/s

Solution:

CS

V4




Basic equation:

(4.26)

Assumption: 1) Atmospheric pressure on CS 2) Horizontal 3) Steady w.r.t. the CV 4) Use velocities relative to CV
The x-momentum is then







 

V

It can be shown (see Example 10.13) that
For the static case



T  u 1  mrate  u 4  mrate  V4  V1  mrate

m
V1  0 
s

1
2



 V4  V1

kg
where mrate  50
is the mass flow rate
s



m
V4  45
s

so

V 

1
2



 V4  V1

2

From continuity

π D
mrate  ρ V A  ρ V
4
4  mrate

Hence

D 

For V1 = 0

T  mrate V4  V1

When in motion

m
V1  15
s

Hence for V1 = 15 m/s

T  mrate V4  V1



V  22.5

m
s

kg
3

m
D  1.52 m

ρ π V



ρ  1.23

with





T  2250 N
and



V

1



 V4  V1
2

T  750  N



so

V4  2  V  V1

m
V4  30
s

Problem 10.105

Given:

Data on fanboat and propeller

Find:

Thrust at rest; Thrust at 12.5 m/s

[Difficulty: 3]

Solution:
Assume the aircraft propeller coefficients in Fi.g 10.40 are applicable to this propeller.
At V = 0, J = 0. Extrapolating from Fig. 10.40b

We also have

D  1.5 m

n  1800 rpm n  30

The thrust at standstill (J = 0) is found from
At a speed V  12.5

m
s

CF  0.16

J 

V
n D

The thrust and power at this speed can be found

rev

and

s

kg
3

m
2

4

FT  CF ρ n  D
J  0.278

ρ  1.225 

and so from Fig. 10.40b
2

4

FT  CF ρ n  D

FT  893  N

(Note: n is in rev/s)

FT  809  N

CP  0.44
3

and

CF  0.145

5

P  111  kW

P  CP ρ n  D

Problem 10.106

Given:

Data on jet-propelled aircraft

Find:

Propulsive efficiency

[Difficulty: 3]

y



x
U

V

FD



CS
Y

Solution:

X

Basic equation:

(4.26)

(4.56)

Assumption: 1) Atmospheric pressure on CS 2) Horizontal 3) Steady w.r.t. the CV 4) Use velocities relative to CV
The x-momentum is then













kg
is the mass flow rate
where mrate  50
s

FD U  mrate ( V  U)  U

The useful work is then

The energy equation simplifies to W 

η

Hence

 U2 
    mrate 
 2

mrate ( V  U)  U
mrate
2

U  225 



FD  mrate ( V  U)

or

With



FD  u 1  mrate  u 2  mrate  ( U)  mrate  ( V)  mrate

m
s

and



2

2

 V U



η  45%



 V2 
mrate
2
2
    mrate 
 V U
2
 2



2  ( V  U)  U

V2  U2





2
1

V
U

V  U 

2

η

 1



V  775

m
s

Problem 10.107

9.89

[Difficulty: 4]

Problem 10.108

[Difficulty: 4]

V2 = V3 = V
 
y
2h
x

V1

CS

V4





Given:

Definition of propulsion efficiency η

Find:

η for moving and stationary boat

Solution:
Assumption: 1) Atmospheric pressure on CS 2) Horizontal 3) Steady w.r.t. the CV 4) Use velocities relative to CV











The x-momentum (Example 10.3): T  u 1  mrate  u 4  mrate  mrate V4  V1



Applying the energy equation to steady, incompressible, uniform flow through the moving CV gives the minimum power input
requirement

 V 2 V 2 
4
1
Pmin  mrate 


2
2


On the other hand, useful work is done at the rate of



Puseful  V1  T  V1  mrate V4  V1

Combining these expressions

or

η

η



V1  mrate V4  V1



2
2
V1 
 V4
mrate 


2 
 2






V1  V4  V1
1
2







 V4  V1  V4  V1



2  V1
V1  V4

When in motion

V1  30 mph

For the stationary case

V1  0  mph

and

V4  90 mph

η 

η 

2  V1
V1  V4
2  V1
V1  V4

η  50 %

η  0 %

Problem 10.109

[Difficulty: 4]

9.174

Problem 10.

['LIILFXOW\5]

Problem 10.111

[Difficulty: 2]

Given:

NASA-DOE wind turbine generator

Find:

Estimate rotor tip speed and power coefficient at maximum power condition

Solution:
CP 

Basic equations:

Pm
1
2

and we have ρ  0.00237 

slug
ft

3

3

 ρ V  π R

X
2

ω  45 rpm  4.712 

rad
s

ω R
V

U  ω R

η

Pm
Pideal

R  63 ft V  16 knot  27.005

ft
s

P  135  hp

U  ω R  297 

The blade tip speed is:

The tip speed ratio is:

X 

ω R
V

 10.994

η  74%

ft
s

(X will decrease at the wind speed increases.)

P
The mechanical work out is: Pm 
 182.4  hp
η

From this we can calculate the power coefficient:

CP 

Pm
1
2

3

 ρ V  π R

 0.345
2

Problem 10.112

[Difficulty: 3]

Problem 10.113

Given:

Model of farm windmill

Find:

Angular speed for optimum power; Power output

[Difficulty: 2]

Solution:
Basic equations:

CP 

P
1
2

From Fig. 10.45

Hence, for

Also

3

 ρ V  π R

X
2

CPmax  0.3
V  10

m
s

1
3
2
P  CPmax  ρ V  π R
2

ω R

ρ  1.225 

kg
3

m
X  0.8

at

ω 

and we have

V

X V
R

P  144 W

and

D  1 m
ω  16

R 

rad
s

D
2

R  0.5 m

ω  153  rpm

Problem 10.114

[Difficulty: 2]

Given:

NASA-DOE wind turbine generator

Find:

Estimate rotor tip speed and power coefficient at maximum power condition

Solution:
Pm

CP 

Basic equations:

1
2

and we have ρ  1.23

kg

X

3

 ρ V  π R

ω  70 rpm

3

2

R  5 m

ω R
V

U  ω R

H  18 m

η

Pm
Pideal

2

A  110  m

U  ω R  36.652

m

2

m
s

From Fig. 10.45: CP  0.34 when X  5.3 (maximum power condition) If we replace the π R term in the power coefficient
1
3
with the swept area we will get: P   CP ρ V  A
2
Here are the results, calculated using Excel:
A = 110.00 m
ρ =
U=

2

Power coefficient data were taken from Fig. 10.45

1.23 kg/m
36.65 m/s

V (kt) V (m/s)
10.0
12.5
15.0
17.5
20.0
22.5
25.0
30.0

5.14
6.43
7.72
9.00
10.29
11.57
12.86
15.43

3

X
7.125
5.700
4.750
4.071
3.562
3.167
2.850
2.375

CP
0.00
0.30
0.32
0.20
0.10
0.05
0.02
0.00

P (kW)
0.00
5.40
9.95
9.87
7.37
4.72
2.88
0.00

Power Versus Wind Speed
12
10

P (kW)

8
6
4
2
0
5

10

15

20
V (knots)

25

30

35

Problem 10.115

[Difficulty: 5] Part 1/3

Problem 10.115

[Difficulty: 5] Part 2/3

Problem 10.115

[Difficulty: 5] Part 3/3

Problem 10.116

[Difficulty: 5] Part 1/3

Problem 10.116

[Difficulty: 5] Part 2/3

Problem 10.116

[Difficulty: 5] Part 3/3

Problem 10.117

[Difficulty: 2]

Given:

Prototype air compressor, 1/5 scale model to be built

Find:

Mass flow rate and power requirements for operation at equivalent efficiency

Solution:
 M R T01 ω D 


 p  D2 c01 
 01


M p  8.9

Given data:

 M R T01 ω D 

 f2 

2
3 5
c01 

ρ01 ω  D
 p 01 D

Wc

η  f1 

Basic equations:

kg
s

ωp  600  rpm

Dm
Dp



1
5

Wcp  5.6 MW

Since the efficiencies are the same for the prototype and the model, it follows that:
M m Rm T01m
2



M p  Rp  T01p

p 01m Dm

p 01p  Dp

2

ωm Dm
c01m



ωp  Dp

Wcm

c01p

ρ01m ωm  Dm

3

5



Wcp
3

ρ01p  ωp  Dp

5

Given identical entrance conditions for model and prototype and since the working fluid for both is air:
Mm
2



Dm

Mp
Dp

Solving for the mass flow rate of the model:

2

ωm Dm  ωp  Dp

Wcm
3

5

ωm  Dm



Solving for the speed of the model:

3

2

M m  0.356

Solving for the power requirement for the model:
5

kg
s

Dp
ωm  ωp 
 3000 rpm
Dm
3

Wcp
ωp  Dp

 Dm 
Mm  Mp 

 Dp 

 ωm   Dm 
Wcm  Wcp 
  
 ωp   Dp 

5

Wcm  0.224  MW

Problem 10.118

Given:
Find:
Solution:

Prototype air compressor equipped with throttle to control entry pressure
Speed and mass flow rate of compressor at off-design entrance conditions

Basic equations:

 M T01

η  f1 




Given data:

[Difficulty: 3]

p 01

p 01d  14.7 psi





T01 


∆T01

ω

T01

T01d  70 °F

 M T01

 f2 




p 01





T01 

ω

ωd  3200 rpm T01  58 °F

Since the normalized speed is equal to that of the design point, it follows that:

ω
T01

Solving for the required speed:

At similar conditions:

M  T01
p 01

M d  125 



lbm
s

p 01  8.0 psi

ωd
T01d

T01
ω  ωd 
T01d


M d  T01d
p 01d

Solving for the actual mass flow rate:

ω  3164 rpm

M  Md

T01d p 01

T01 p 01d

M  68.8

lbm
s

Problem 10.119

Given:
Find:
Solution:

Design conditions for jet turbine, off-design actual conditions
New operating speed, mass flow rate, and exit conditions for similar operation

Basic equations:

 M T01

η  f1 


p 01



Given data:

[Difficulty: 3]

p 01d  160  psi

ωd



M  T01

T01





M d  T01d

p 02



T01 


p 01

ω

lbm
s

p 02

 M T01

 f3 




p 02d  80 psi

p 01





T01 

ω

T02d  1350 °F

∆T0d

Solving for the actual mass flow rate:

Solving for the temperature drop:

T01d

p 01d
p 02d

T01
ω  ωd 
T01d

p 01d







M d  500 

Solving for the required speed:

T01
T01  T02  T01d  T02d 
T01d
p 01

p 01



T01d

T01

∆T0

T01

 M T01

 f2 


T01  1600 °F

ω

p 01

∆T0

T01d  1700 °F ωd  500  rpm

p 01  140  psi
At similar conditions:



T01 

ω





M  Md

T01
∆T0  ∆T0d
T01d

T01
T02  T01  T01d  T02d 
T01d

Solving for the exit pressure:



p 02d
p 02  p 01
p 01d



ω  488  rpm

T01d p 01

T01 p 01d

M  448 

lbm
s

Substituting in temperatures:

T02  1266 °F

p 02  70 psi

Problem 10.120

[Difficulty: 4]

Discussion: When we change the working fluid, we need to be sure that we use the correct similitude
relationships. Specifically, we would need to keep fluid-specific parameters (gas constant and specific heat
ratio) in the relationships. The functional relationships are:
h0 s

ND 2

, ,

 m
 01 ND 2 ND 
P

,
,
,k

f
1
3
c01 

 01 N 3 D 5
  01 ND

So these dimensionless groups need to be considered. When we replace air with helium, both the gas constant R
and the specific heat ratio k will increase. Given a fixed inflow pressure and temperature and a fixed geometry,
the effect would be to decrease density and increase sound speed. Therefore, replacing air with helium should
result in decreased mass flow rate and power, and an increased operating speed.
When considering dimensional parameters, the important thing to remember is that the operability maps for
compressors and/or turbines were constructed for a single working fluid. Therefore, to be safe, an engineer
should reconstruct an operability map for a new working fluid.

Problem 11.1

[Difficulty: 2]

Given:

Trapezoidal channel

Find:

Derive expression for hydraulic radius; Plot R/y versus y for two different side slopes

Solution:
b  2 m

Available data

α1  30 deg

α2  60 deg

The area is (from simple geometry of a rectangle and triangles)

1
A  b  y  2   y  y  cot( α)  y  ( b  y  cot( α) )
2

The wetted perimeter is (from simple geometry)

P  b  2

Hence the hydraulic radius is

R

R

We are to plot

y



A
P



y  ( b  y  cot( α) )
b  2

which is the same as that listed in Table 11.1

y
sin( α)

b  y  cot( α)
b  2

y
sin( α)

with

y

for α = 30o and 60o, and 0.5 < y < 3 m.

b  2 m

sin( α)

The graph is shown below; it can be plotted in Excel.
0.75

30 Degrees
60 Degrees

R/y

0.5

0.25

0

0.5

1

1.5

2

2.5

3

y (m)
As the depth increases, the hydraulic radius becomes smaller relative to depth y - wetted perimeter becomes dominant over area

Problem 11.2

[Difficulty: 2]

Given:

Circular channel

Find:

Derive expression for hydraulic radius; Plot R/D versus D for a range of depths

Solution:
The area is (from simple geometry - a segment of a circle plus two triangular sections)
2

2

2

1 D
α D
α
D
α
D
α
⋅ α + 2 ⋅ ⋅ ⋅ sin⎛⎜ π − ⎞ ⋅ ⋅ cos⎛⎜ π − ⎞ =
⋅α +
⋅ sin⎛⎜ π − ⎞ ⋅ cos⎛⎜ π − ⎞
8
2 2
2⎠ 2
2⎠
4
2⎠
8
2⎠
⎝
⎝
⎝
⎝

A=

D

A=

D

2

8

2

⋅α +

D

2

⋅ sin( 2 ⋅ π − α) =

8

D

8

2

⋅α −

D

8

2

D

⋅ sin( α) =

P=

The wetted perimeter is (from simple geometry)

D
2

8

⋅ ( α − sin( α) )

⋅α

2

D
Hence the hydraulic radius is

R=

A
P

=

8

⋅ ( α − sin( α) )
D
2

R

We are to plot

D

=

We will need y as a function of α:

1
4

⋅ ⎛⎜ 1 −

⎝

y=

=
⋅α

1
4

⋅ ⎛⎜ 1 −

⎝

sin( α) ⎞
α

⎠

⋅D

which is the same as that listed in Table 11.1

sin( α) ⎞

⎠

α
D
2

+

D
2

⋅ cos⎛⎜ π −

⎝

α⎞
2⎠

=

D
2

⋅ ⎛⎜ 1 − cos⎛⎜

⎝

α ⎞⎞

⎝ 2 ⎠⎠

or

y
D

=

1
2

⋅ ⎛⎜ 1 − cos⎛⎜

⎝

⎝ 2 ⎠⎠

The graph can be plotted in Excel.
0.4

R/D

0.3

0.2

0.1

0

0.2

0.4

0.6

y/D

0.8

α ⎞⎞

1

Problem 11.3

Given:

Wave from a passing boat

Find:

Estimate of water depth

[Difficulty: 1]

Solution:
Basic equation

c

g y

Available data

c  10 mph

or

c  14.7

ft
s

We assume a shallow water wave (long wave compared to water depth)

c

g y

so

y 

c

2

g

y  6.69 ft

Problem 11.4

Given:

Pebble dropped into flowing stream

Find:

Estimate of water speed

[Difficulty: 1]

Solution:
Basic equation

c

g y

Available data

y  2 m

and relative speeds will be

and

7 m
Vwave 
1 s

We assume a shallow water wave (long wave compared to water depth)

c 

Hence

g y

so

Vstream  Vwave  c

c  4.43

m
s

m
Vstream  2.57
s

Vwave  Vstream  c
m
Vwave  7
s

Problem 11.5

Given:

Pebble dropped into flowing stream

Find:

Estimate of water depth and speed

[Difficulty: 2]

Solution:
Basic equation

c

g y

Available data

5  ft
Vwaveupstream 
1 s

ft
Vwaveupstream  5
s

13 ft
Vwavedownstream 
1 s

ft
Vwavedownstream  13
s

and relative speeds will be

But we have

Vwavedownstream  Vstream  c

Adding

Vstream 

Subtracting

c 

and

Vwavedownstream  Vwaveupstream
2

Vwavedownstream  Vwaveupstream
2

Vwave  Vstream  c

Vwaveupstream  Vstream  c

ft
Vstream  4
s
c9

ft
s

We assume a shallow water wave (long wave compared to water depth)

Hence

c

g y

so

y 

c

2

g

y  2.52 ft

Problem 11.6

[Difficulty: 3]

Given:

Speed of surface waves with no surface tension

Find:

Speed when λ/y approaches zero or infinity; Value of λ/y for which speed is 99% of this latter value

Solution:
g⋅ λ

Basic equation

c=

For λ/y << 1

tanh⎛⎜

(1)

2 ⋅ π⋅ y ⎞
2 ⋅ π⋅ tanh⎛⎜
⎝ λ ⎠
2 ⋅ π⋅ y ⎞

approaches 1

⎝ λ ⎠

Hence c is proportional to

so as λ/y approaches ∞

λ

We wish to find λ/y when

c = 0.99⋅ g ⋅ y

Combining this with Eq 1

0.99⋅ g ⋅ y =

g⋅ λ
2 ⋅ π⋅ tanh⎛⎜

⎝

0.99 ⋅ 2 ⋅ π⋅ tanh⎛⎜
2

Hence

2 ⋅ π⋅ y ⎞

⎝ λ ⎠

=

λ
y

c=

c=

so

g⋅ λ
2⋅ π

g⋅ y

g⋅ λ

2

0.99 ⋅ g ⋅ y =

or

2 ⋅ π⋅ y ⎞
λ

tanh( ∞) → 1

⎠

2 ⋅ π⋅ tanh⎛⎜

2 ⋅ π⋅ y ⎞

⎝ λ ⎠

Letting λ/y = x

we find

0.99 ⋅ 2 ⋅ π⋅ tanh⎛⎜
2

2⋅ π ⎞

⎝ x ⎠

=x

This is a nonlinear equation in x that can be solved by iteration or using Excel's Goal Seek or Solver

Hence

x = 1

x = 0.99 ⋅ 2 ⋅ π⋅ tanh⎛⎜

2⋅ π ⎞

x = 6.16

x = 0.99 ⋅ 2 ⋅ π⋅ tanh⎛⎜

2⋅ π ⎞

x = 4.74

x = 4.74

x = 0.99 ⋅ 2 ⋅ π⋅ tanh⎛⎜

2⋅ π ⎞

x = 5.35

x = 0.99 ⋅ 2 ⋅ π⋅ tanh⎛⎜

2⋅ π ⎞

x = 5.09

x = 5.09

x = 0.99 ⋅ 2 ⋅ π⋅ tanh⎛⎜

2⋅ π ⎞

x = 5.2

x = 0.99 ⋅ 2 ⋅ π⋅ tanh⎛⎜

2⋅ π ⎞

x = 5.15

x = 5.15

x = 0.99 ⋅ 2 ⋅ π⋅ tanh⎛⎜

2⋅ π ⎞

x = 5.17

x = 0.99 ⋅ 2 ⋅ π⋅ tanh⎛⎜

2⋅ π ⎞

x = 5.16

x = 5.16

x = 0.99 ⋅ 2 ⋅ π⋅ tanh⎛⎜

2⋅ π ⎞

x = 5.17

x = 0.99 ⋅ 2 ⋅ π⋅ tanh⎛⎜

2⋅ π ⎞

x = 5.16

λ
y

= 5.16

2

⎝ x ⎠

2

⎝ x ⎠

2

⎝

2

⎝

2

⎝

x

x

x

⎠
⎠
⎠

2

⎝ x ⎠

2

⎝ x ⎠

2

⎝ x ⎠

2

⎝ x ⎠

2

⎝ x ⎠

Problem 11.7

Given:

Expression for capillary wave length

Find:

Length of water and mercury waves

[Difficulty: 1]

Solution:
σ

Basic equation

λ  2  π

Available data

Table A.2 (20oC)

ρ g
SG Hg  13.55

SG w  0.998

ρ  1000

kg
3

m
σHg  484  10

Table A.4 (20oC)

Hence

λHg  2  π

λ w  2  π

σHg
SG Hg ρ g
σw
SGw ρ g

3 N



m

σw  72.8  10

λHg  12 mm

λHg  0.472 in

λw  17.1 mm

λw  0.675 in

3 N



m

Problem 11.8

[Difficulty: 2]

Given:

Expression for surface wave speed

Find:

Plot speed versus wavelength for water and mercury waves

Solution:
⎛ g ⋅ λ 2 ⋅ π⋅ σ ⎞
⎛ 2 ⋅ π⋅ y ⎞
⎜ 2 ⋅ π + ρ⋅ λ ⋅ tanh⎜ λ
⎝
⎠
⎝
⎠

Basic equation

c=

Available data

Table A.2 (20oC)

SG Hg = 13.55

SG w = 0.998

ρ = 1000⋅

kg
3

m
Table A.4 (20oC)

Hence

cw( λ) =

σHg = 484 × 10

−3 N

⋅

m

2 ⋅ π⋅ σw ⎞
⎛ g⋅ λ
⎛ 2 ⋅ π⋅ y ⎞
⎜ 2 ⋅ π + SG ⋅ ρ⋅ λ ⋅ tanh⎜ λ
⎝
⎠
w
⎝
⎠

σw = 72.8 × 10

cHg( λ) =

−3 N

⋅

m

y = 7 ⋅ mm

2 ⋅ π⋅ σHg ⎞
⎛ g⋅ λ
⎛ 2 ⋅ π⋅ y ⎞
⎜ 2⋅ π + SG ⋅ ρ⋅ λ ⋅ tanh⎜ λ
⎝
⎠
Hg
⎝
⎠

0.7

Water
Mercury

Wave speed (m/s)

0.6

0.5

0.4

0.3

0.2

0.1

20

40

60

Wavelength (mm)

80

100

Problem 11.9

Given:

Sharp object causing waves

Find:

Flwo speed and Froude number

[Difficulty: 1]

Solution:
Basic equation

c

g y

Available data

y  150  mm

θ  30 deg

We assume a shallow water wave (long wave compared to water depth)
c 

g y

so

c  1.21

m
s

From geometry

Hence

Also

sin( θ) 

Fr 

c

V
c

so

V
Fr  2

V 

c
sin( θ)

or

V  2.43

Fr 

m
s

1
sin( θ)

Fr  2

Problem 11.10

Given:

Shallow water waves

Find:

Speed versus depth

[Difficulty: 2]

Solution:
c( y ) 

Basic equation

g y

We assume a shallow water wave (long wave compared to water depth)

10

Wave Speed (m/s)

Rapid Flow: Fr > 1

1

Tranquil Flow: Fr < 1

0.1
3
1 10

0.01

0.1

Depth (m)

1

10

Problem 11.11

Given:

Motion of sumerged body

Find:

Speed versus ship length

[Difficulty: 2]

Solution:
c

Basic equation

g y

We assume a shallow water wave (long wave compared to water depth)
In this case we want the Froude number to be 0.5, with

Fr  0.5 

V

and

c

c

g x

where x is the ship length

V  0.5 c  0.5 g  x

Hence

Ship Speed (m/s)

100

10

1
1

10

100

Ship Length (m)

3

1 10

Problem 11.12

Given:

Flow in a rectangular channel

Find:

Froude numbers

[Difficulty: 1]

Solution:
V

Basic equation

Fr 

Available data

y  750  mm

Hence

Fr 1 

Fr 2 

g y

V1
g y
V2
g y

m
V1  1 
s

m
V2  4 
s

Fr 1  0.369

Subcritical flow

Fr 2  1.47

Supercritical flow

Problem 11.12

Given:

Flow in a rectangular channel with wavy surface

Find:

Froude numbers

[Difficulty: 2]

Solution:
V

Basic equation

Fr 

Available data

b  10 ft

g y
y  6 ft

A "wavy" surface indicates an unstable flow, which suggests critical flow

Hence

Then

V  Fr  g  y

V  13.9

ft

Q  V b  y

Q  834

ft

Fr  1

s
3

s

5

Q  3.74  10 gpm

Problem 11.14

Given:

Data on sluice gate

Find:

Downstream depth; Froude number

[Difficulty: 2]

Solution:
Basic equation:

p1
ρ⋅ g

+

V1

2

2⋅ g

p2

V2

2

+ y1 =
+
+ y2 + h
2⋅ g
ρ⋅ g

The Bernoulli equation applies because we have steady,
incompressible, frictionless flow.

Noting that p 1 = p 2 = p atm, (1 = upstream, 2 = downstream) the Bernoulli equation becomes
V1

2

2⋅ g

V2

2

+ y1 =
+ y2
2⋅ g
3

The given data is

For mass flow

m

b = 5⋅ m

y 1 = 2.5⋅ m

Q = 10⋅

Q = V⋅ A

so

Q
and
V1 =
b⋅ y1
2

Using these in the Bernoulli equation

⎛ Q ⎞
⎜ b⋅ y
⎝ 1⎠ + y =
1
2⋅ g

s
Q
V2 =
b⋅ y2

2

⎛ Q ⎞
⎜ b⋅ y
⎝ 2⎠ + y
2
2⋅ g

(1)
2

The only unknown on the right is y2. The left side evaluates to

⎛ Q ⎞
⎜ b⋅ y
⎝ 1 ⎠ + y = 2.53 m
1
2⋅ g

To find y 2 we need to solve the non-linear equation. We must do this numerically; we may use the Newton method or similar, or
Excel's Solver or Goal Seek. Here we interate manually, starting with an arbitrary value less than y 1.
2

⎛ Q ⎞
⎜ b⋅ y
⎝ 2 ⎠ + y = 2.57 m
2
2⋅ g

2

⎛ Q ⎞
⎜ b⋅ y
⎝ 2 ⎠ + y = 2.54 m
2
2⋅ g

y 2 = 0.25⋅ m

⎛ Q ⎞
⎜ b⋅ y
⎝ 2 ⎠ + y = 3.51 m For y = 0.3⋅ m
2
2
2⋅ g

For

y 2 = 0.305 ⋅ m

⎛ Q ⎞
⎜ b⋅ y
⎝ 2 ⎠ + y = 2.50 m For y = 0.302 ⋅ m
2
2
2⋅ g

Hence

y 2 = 0.302 m

is the closest to three figs.

Then

Q
V2 =
b⋅ y2

m
V2 = 6.62
s

For

Fr 2 =

V2
g⋅ y2

2

2

Fr 2 = 3.85

Problem 11.15

[Difficulty: 3]

Given:

Rectangular channel

Find:

Plot of specific energy curves; Critical depths; Critical specific energy

Solution:
Given data:

b=

20

ft

Specific energy:

⎛ Q2
E = y + ⎜⎜
2
⎝ 2 gb

⎞ 1
⎟⎟ 2
⎠ y

Critical depth:

yc

Specific Energy, E (ft·lb/lb)
y (ft)
0.5
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
2.2
2.4
2.6
2.8
3.0
3.5
4.0
4.5
5.0

⎛ Q
= ⎜⎜
⎝ gb

2
2

⎞
⎟⎟
⎠

1
3

5

Q =
0
0.50
0.60
0.80
1.00
1.20
1.40
1.60
1.80
2.00
2.20
2.40
2.60
2.80
3.00
3.50
4.00
4.50
5.00

Q =
25
0.60
0.67
0.84
1.02
1.22
1.41
1.61
1.81
2.01
2.21
2.40
2.60
2.80
3.00
3.50
4.00
4.50
5.00

Q =
75
1.37
1.21
1.14
1.22
1.35
1.51
1.69
1.87
2.05
2.25
2.44
2.63
2.83
3.02
3.52
4.01
4.51
5.01

Q =
125
2.93
2.28
1.75
1.61
1.62
1.71
1.84
1.99
2.15
2.33
2.51
2.69
2.88
3.07
3.55
4.04
4.53
5.02

Q =
200
6.71
4.91
3.23
2.55
2.28
2.19
2.21
2.28
2.39
2.52
2.67
2.83
3.00
3.17
3.63
4.10
4.58
5.06

y c (ft)
E c (ft)

0.365
0.547

0.759
1.14

1.067
1.60

1.46
2.19

4

3

y (ft)
Q=0

2

Q = 25 cfs
Q = 75 cfs
Q = 125 cfs
Q = 200 cfs

1

0
0

2

4

E (ft)

6

Problem 11.16

Given:

Rectangular channel flow

Find:

Critical depth

[Difficulty: 1]

1

Solution:
Basic equations:

⎛ Q2 ⎞
yc = ⎜
⎜ g⋅ b2
⎝
⎠

Given data:

b = 2.5⋅ m

3

3

Q = 3⋅

m
s

1

Hence

⎛ Q2 ⎞
yc = ⎜
⎜ g⋅ b2
⎝
⎠

3

y c = 0.528 m

Problem 11.17

Given:

Data on trapezoidal channel

Find:

Critical depth and velocity

[Difficulty: 3]

Solution:
2

V

Basic equation:

Ey

The given data is:

b  20 ft

2 g
α  atan ( 2)

S0  0.0016

α  63.4deg

n  0.025

ft

Q  400

3

s

2

In terms of flow rate

Ey

Q

A  y  ( b  y  cot ( α ) )

where (Table 11.1)

2

2 A  g
2

Hence in terms of y

Q

Ey

2 2

2 ( b  y  cot ( α ) )  y  g
For critical conditions

dE
dy

2

2

Q

01

3

g  y  ( b  y  cot( α) )
3

3

2



2

g  y  ( b  y  cot( α) )

1

3

Q  ( b  2  y  cot( α) )
3

g  y  ( b  y  cot( α) )

3

2

Hence

g  y  ( b  y  cot( α) )  Q  ( b  2  y  cot( α) )  0

Let

f ( y )  g  y  ( b  y  cot( α) )  Q  ( b  2  y  cot( α) )

3

2

Q  cot( α)

3

2

We can iterate or use Excel's Goal Seek or Solver to find y when f(y) = 0

Guess

y  2  ft

f ( y )  1.14  10

6 ft

7

2

y  2.25 ft

f ( y )  1.05  10

5 ft

7

2

s

y  2.35 ft

5 ft

f ( y )  3.88  10

s

y  2.3 ft

5 ft

f ( y )  1.36  10

7

2

y  2.275  ft

s
Hence critical depth is y  2.27 ft

and critical speed is

V 

Q
A

and

4 ft

f ( y )  1.38  10

7

2

y  2.272  ft

s
A  y  ( b  y  cot( α) )
V  8.34

ft
s

2

s

The solution is somewhere between y = 2.25 ft and y = 2.35 ft, as the sign of f(y) changes here.

f ( y )  657

ft

2

s
A  48.0 ft

2

7

7

Problem 11.18

Given:

Data on rectangular channel

Find:

Minimum specific energy; Flow depth; Speed

[Difficulty: 2]

Solution:
2

Basic equation:

E=y+

V

2⋅ g

In Section 11-2 we prove that the minimum specific energy is when we have critical flow; here we rederive the minimum energy point
3

ft

For a rectangular channel

Q = V⋅ b ⋅ y

or
2

Hence, using this in the basic equation

E is a minimum when

The speed is then given by

E=y+

⎛ Q ⎞ ⋅ 1 =y+
⎜ b⋅ y 2⋅ g
⎝ ⎠

⎛ Q2 ⎞ 1
=1−⎜
⋅
=0
dy
⎜ b 2⋅ g y 3
⎝
⎠

dE

V =

V=

Q

Q

Q
b

= 10⋅

s

ft

⎛ Q2 ⎞ 1
⎜
⋅
⎜ 2 ⋅ b 2⋅ g y 2
⎝
⎠

= constant

1

⎛ Q2 ⎞
y = ⎜
⎜ b 2⋅ g
⎝
⎠

or

V = 6.85⋅

b⋅ y

with

b⋅ y

3

ft
s

1

Note that from Eq. 11.22 we also have

Vc =

⎛ g⋅ Q ⎞
⎜ b
⎝
⎠

3

ft
Vc = 6.85⋅
s
2

The minimum energy is then

Emin = y +

V

2⋅ g

Emin = 2.19⋅ ft

which agrees with the above

y = 1.46⋅ ft

Problem 11.19

Given:

Data on rectangular channel

Find:

Depths for twice the minimum energy

[Difficulty: 3]

Solution:
2

E=y+

Basic
equation:

V

2⋅ g
3

ft

Q = V⋅ b ⋅ y

For a rectangular channel

or
2

Hence, using this in the basic eqn.

E=y+

We have a nonlinear implicit equation for y

y+

V=

⎛ Q ⎞ ⋅ 1 =y+
⎜ b⋅ y 2⋅ g
⎝ ⎠

Q
b⋅ y

Q

with

⎛ Q2 ⎞ 1
⎜
⋅
⎜ 2 ⋅ b 2⋅ g y 2
⎝
⎠

b
and

= 10⋅

s

ft

= constant

E = 2 × 2.19⋅ ft

E = 4.38⋅ ft

⎛ Q2 ⎞ 1
⎜
⋅
=E
⎜ 2 ⋅ b2⋅ g y 2
⎝
⎠

This is a nonlinear implicit equation for y and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below. We start
with a y larger than the critical, and evaluate the left side of the equation so that it is equal to E = 4.38⋅ ft

For

For

y = 2 ⋅ ft

⎛ Q2 ⎞ 1
y+⎜
⋅
= 2.39⋅ ft
⎜ 2 ⋅ b2⋅ g y 2
⎝
⎠

For

y = 4 ⋅ ft

⎛ Q2 ⎞ 1
y+⎜
⋅
= 4.10⋅ ft
⎜ 2 ⋅ b2⋅ g y 2
⎝
⎠

y = 4.5⋅ ft

y+

⎛ Q2 ⎞ 1
⎜
⋅
= 4.58⋅ ft
⎜ 2 ⋅ b2⋅ g y 2
⎝
⎠

For

y = 4.30⋅ ft

y+

⎛ Q2 ⎞ 1
⎜
⋅
= 4.38⋅ ft
⎜ 2 ⋅ b2⋅ g y 2
⎝
⎠

Hence

y = 4.30⋅ ft

y = 0.5⋅ ft

y+

⎛ Q2 ⎞ 1
⎜
⋅
= 6.72⋅ ft
⎜ 2
2
⎝ 2⋅ b ⋅ g ⎠ y

⎛ Q2 ⎞ 1
y+⎜
⋅
= 4.33⋅ ft
⎜ 2 ⋅ b2⋅ g y 2
⎝
⎠

For the shallow depth

y = 1 ⋅ ft

y+

⎛ Q2 ⎞ 1
⎜
⋅
= 2.55⋅ ft
⎜ 2
2
⎝ 2⋅ b ⋅ g ⎠ y

For

For

y = 0.6⋅ ft

⎛ Q2 ⎞ 1
y+⎜
⋅
= 4.92⋅ ft
⎜ 2 ⋅ b2⋅ g y 2
⎝
⎠

For

y = 0.65⋅ ft

For

y = 0.645 ⋅ ft

y+

Hence

y = 0.645 ⋅ ft

For

⎛ Q2 ⎞ 1
⎜
⋅
= 4.38⋅ ft
⎜ 2
2
y
2
⋅
b
⋅
g
⎝
⎠

Problem 11.20

Given:

Trapezoidal channel

Find:

Critcal depth

[Difficulty: 2]

Solution:
2

Basic equation:

Ey

V

2 g

The critical depth occurs when the specific energy is minimized
For a trapezoidal channel (Table 11.1) A  y  ( b  cot(α) y )

Hence for V

Using this in Eq. 11.14

E is a minimum when

Q

V

A



Ey

dE
dy

Q
y  ( b  cot(α) y )

2
Q

 1
 y  ( b  cot(α) y)   2  g


2

2

Q  cot(α)

1

2

g  y  ( b  y  cot(α))
2

2

g  y  ( b  y  cot(α))

This can be simplified to

3

Q



g  y  ( b  y  cot(α))
This expression is the simplest one for y; it is implicit

3

3

g  y  ( b  y  cot(α))

2

Q  ( b  2  y  cot(α))
3

3

g  y  ( b  y  cot(α))
2

Q  cot(α)

Hence we obtain for y

3

Q



1

2

1

2

0

Problem 11.21

Given:

Data on trapezoidal channel

Find:

Critical depth

[Difficulty: 3]

Solution:
2

E=y+

Basic equation:

V

2⋅ g

In Section 11-2 we prove that the minimum specific energy is when we have critical flow; here we rederive the minimum energy point
For a trapezoidal channel (Table 11.1) A = ( b + cot(α)⋅ y ) ⋅ y
Q

V=

Hence for V

A

=

E=y+

Using this in the basic equation

( b + cot(α)⋅ y ) ⋅ y

b = 10⋅ ft

and

Q = 400 ⋅

=1−

dy

2

2

⎝1⎠

ft

α = 71.6 deg

3

s

g ⋅ y ⋅ ( b + y ⋅ cot(α))

3

Q

−

3

g ⋅ y ⋅ ( b + y ⋅ cot(α))

2

=0

2

Q ⋅ cot(α)
2

3⎞

2

Q ⋅ cot(α)
g ⋅ y ⋅ ( b + y ⋅ cot(α))

Hence we obtain for y

α = atan⎛⎜

2
Q
⎡
⎤ ⋅ 1
⎢ ( b + cot(α)⋅ y ) ⋅ y⎥ 2 ⋅ g
⎣
⎦
2

dE

E is a minimum when

Q

and

3

+

2

Q
3

g ⋅ y ⋅ ( b + y ⋅ cot(α))

2

=1

Q ⋅ ( b + 2 ⋅ y ⋅ cot(α))

or

3

g ⋅ y ⋅ ( b + y ⋅ cot(α))

3

This is a nonlinear implicit equation for y and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below, to make
the left side equal unity
2

y = 5 ⋅ ft

Q ⋅ ( b + 2 ⋅ y ⋅ cot( α) )
3

g ⋅ y ⋅ ( b + y ⋅ cot( α) )

3

2

= 0.3

y = 4 ⋅ ft

Q ⋅ ( b + 2 ⋅ y ⋅ cot( α) )
3

g ⋅ y ⋅ ( b + y ⋅ cot( α) )

3

3

g ⋅ y ⋅ ( b + y ⋅ cot( α) )

2

y = 3.5⋅ ft

Q ⋅ ( b + 2 ⋅ y ⋅ cot( α) )

Q ⋅ ( b + 2 ⋅ y ⋅ cot( α) )
3

g ⋅ y ⋅ ( b + y ⋅ cot( α) )

3

= 0.7

2

= 1.03

y = 3.55⋅ ft

Q ⋅ ( b + 2 ⋅ y ⋅ cot( α) )
3

g ⋅ y ⋅ ( b + y ⋅ cot( α) )

2

y = 3.53⋅ ft

3

= 1.00

The critical depth is

y = 3.53⋅ ft

3

= 0.98

=1

Problem 11.22

Given:

Data on venturi flume

Find:

Flow rate

[2]

Solution:
Basic equation:

p1
ρ⋅ g

+

V1

2

p2

V2

2

+ y1 =
+
+ y2
2⋅ g
ρ⋅ g

2⋅ g

At each section

Q = V⋅ A = V⋅ b ⋅ y

The given data is

b 1 = 2 ⋅ ft

The Bernoulli equation applies because we have steady,
incompressible, frictionless flow

V=

or

y 1 = 1 ⋅ ft

Q
b⋅ y

b 2 = 1 ⋅ ft

y 2 = 0.75⋅ ft
2

Hence the Bernoulli equation becomes (with p 1 = p 2 = p atm)

Solving for Q

Q =

(

2⋅ g⋅ y1 − y2
2

)

⎛
⎞ −⎛
⎞
⎜ b ⋅y
⎜ b ⋅y
⎝ 2 2⎠ ⎝ 1 1⎠
1

1

2

⎛ Q ⎞
⎜ b ⋅y
⎝ 1 1⎠ + y =
1
2⋅ g

Q = 3.24⋅

ft

3

s

2

⎛ Q ⎞
⎜ b ⋅y
⎝ 2 2⎠ + y
2
2⋅ g

Problem 11.23

Given:

Data on rectangular channel and a bump

Find:

Elevation of free surface above the bump

[Difficulty: 3]

Solution:
p1

Basic
equation:

ρ g



V1

2

2 g

p2

V2

2

 y1 

 y 2  h The Bernoulli equation applies because we have steady,
2 g
ρ g
incompressible, frictionless flow. Note that at location 2 (the
bump), the potential is y 2 + h, where h is the bump height
2

E

Recalling the specific energy

V

2 g

y

and noting that p1 = p 2 = p atm, the Bernoulli equation becomes
Q

At each section

Q  V A  V b  y

or

V

The given data is

b  10 ft

y 1  1  ft

h  4  in

Q
V1 
b y1

ft
V1  10
s

Hence we find

E1 

and

V1

b y
Q  100 

ft

3

s

2

2 g

 y1
V2

E1  2.554  ft
2

2

E1  E2  h 
 y2  h 
2 g

Hence

E1  E2  h

2

Q

2

2 g b  y2

 y2  h
2

Q

or

2

2 g b  y2

2

 y 2  E1  h

This is a nonlinear implicit equation for y 2 and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below. We select y 2
so the left side of the equation equals E1  h  2.22 ft
2

For

y 2  1  ft

Q

2

2 g b  y2

2

 y 2  2.55 ft
2

For

 y 2  2.19 ft
2

For

y 2  1.5 ft

2

For

y 2  1.4 ft

Q

2

2 g b  y2

Q
V2 
b y2

so we have

Fr 1 

V1
g y1

2

2 g b  y2

2

 y 2  2.19 ft

2

 y 2  2.22 ft

2

y 2  1.3 ft

y 2  1.30 ft

Hence
Note that

Q

ft
V2  7.69
s
Fr 1  1.76

and

Fr 2 

V2
g y2

Fr 2  1.19

Q

2

2 g b  y2

Problem 11.24

Given:

Data on rectangular channel and a bump

Find:

Local change in flow depth caused by the bump

[Difficulty: 3]

Solution:
Basic equation:

p1
ρ g

V1



2

2 g

p2

V2

2

 y1 

 y 2  h The Bernoulli equation applies because we have steady,
2 g
ρ g
incompressible, frictionless flow. Note that at location 2 (the
bump), the potential is y 2 + h, where h is the bump height
2

E

Recalling the specific energy

V

y

2 g

Q

At each section

Q  V A  V b  y

or

V

The given data is

b  10 ft

y 1  1  ft

h  0.25 ft

Q  20

Q
V1 
b y1

ft
V1  2 
s

 y2  h
2

or

Hence we find

and

Hence

E1 

V1

E1  E2  h

and noting that p1 = p 2 = p atm, the Bernoulli equation becomes

b y
ft

3

s

2

2 g

 y1

E1  1.062  ft

V2

2

2

E1  E2  h 
 y2  h 
2 g

Q

2

2 g b  y2

2

Q

2

2 g b  y2

 y 2  E1  h

2

This is a nonlinear implicit equation for y 2 and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below. We select
y 2 so the left side of the equation equals E1  h  0.812  ft
2

For

y 2  0.75 ft

2

Q

2

2 g b  y2

 y 2  0.861  ft
2

For

 y 2  0.797  ft
2

For

y 2  0.7 ft

Q

2

2 g b  y2

2

For

Hence

y 2  0.65 ft

2 g b  y2

y 2  0.676  ft

Note that

Q
V2 
b y2

so we have

Fr 1 

V1
g y1

 y 2  0.827  ft

2

 y 2  0.812  ft

2

Q

2

2

and

y 2  0.676  ft
y2  y1
y1

Q

2

2 g b  y2

 32.4 %

ft
V2  2.96
s

Fr 1  0.353

and

Fr 2 

V2
g y2

Fr 2  0.634

Problem 11.25

Given:

Data on rectangular channel and a bump

Find:

Local change in flow depth caused by the bump

[Difficulty: 3]

Solution:
Basic equation:

p1
ρ g



V1

2

2 g

p2

V2

2

 y1 

 y2  h
2 g
ρ g

The Bernoulli equation applies because we have steady,
incompressible, frictionless flow. Note that at location 2 (the
bump), the potential is y 2 + h, where h is the bump height

2

Recalling the specific energy E 

V

2 g

y

Q

At each section

Q  V A  V b  y

or

V

The given data is

b  10 ft

y 1  0.3 ft

h  0.1 ft

Q
V1 
b y1

ft
V1  6.67
s

Hence we find

E1 

and

V1

b y
Q  20

ft

3

s

2

2 g

 y1

E1  0.991  ft

V2

2

2

E1  E2  h 
 y2  h 
2 g

Hence

E1  E2  h

and noting that p1 = p 2 = p atm, the Bernoulli equation becomes

2

Q

2

2 g b  y2

 y2  h
2

or

Q

2

2 g b  y2

2

 y 2  E1  h

This is a nonlinear implicit equation for y 2 and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below. We select y 2
so the left side of the equation equals E1  h  0.891  ft
2

For

y 2  0.3 ft

Q

2

2 g b  y2

2

 y 2  0.991  ft
2

For

 y 2  0.901  ft
2

For

y 2  0.35 ft

2

For

Hence

y 2  0.33 ft

Q

2

2 g b  y2

Q
V2 
b y2

so we have

Fr 1 

V1
g y1

2

2 g b  y2

2

 y 2  0.857  ft

2

 y 2  0.891  ft

2

y 2  0.334  ft

Note that

Q

y 2  0.334  ft

y2  y1

and

y1

 11.3 %

ft
V2  5.99
s
Fr 1  2.15

and

Fr 2 

V2
g y2

Fr 2  1.83

Q

2

2 g b  y2

Problem 11.26

Given:

Data on wide channel

Find:

Stream depth after rise

[Difficulty: 3]

Solution:
p1

Basic equation:

ρ g

V1



2

2 g

p2

V2

2

 y1 

 y2  h
2 g
ρ g

The Bernoulli equation applies because we have steady,
incompressible, frictionless flow. Note that at location 2 (the
bump), the potential is y 2 + h, where h is the bump height

2

Recalling the specific energy E 

V

y

2 g

At each section

Q  V A  V1  b  y 1  V2  b  y 2

The given data is

y 1  2  ft

Hence

Then

E1 

V1

E1  E2  h

and noting that p1 = p 2 = p atm, the Bernoulli equation becomes
y1
V2  V1 
y2

ft
V1  3 
s

h  0.5 ft

2

2 g

 y1
V2

E1  2.14 ft
2

2

E1  E2  h 
 y2  h 
2 g

V1  y 1

2

2 g

2



1
y2

 y2  h
2

or

V1  y 1

2

2 g

1



y2

2

 y 2  E1  h

This is a nonlinear implicit equation for y 2 and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below. We select
y 2 so the left side of the equation equals E1  h  1.64 ft
2

For

y 2  2  ft

V1  y 1

y 2  1.3 ft

Hence

y 2  1.31 ft

Note that

y1
V2  V1 
y2

so we have

Fr 1 

V1
g y1

V1  y 1
2 g

2

1



2 g
2

For

2

y2

 y 2  2.14 ft
2

y 2  1.5 ft

For

2

V1  y 1



y2

2

 y 2  1.63 ft

y 2  1.31 ft

For

ft
V2  4.58
s
Fr 1  0.37

and

Fr 2 

V2
g y2

Fr 2  0.71



2 g
2

1

2

V1  y 1
2 g

1
y2

2

 y 2  1.75 ft

2

 y 2  1.64 ft

2



1
y2

Problem 11.27

Given:

Data on sluice gate

Find:

Water level upstream; Maximum flow rate

[Difficulty: 2]

Solution:
Basic equation:

p1
ρ⋅ g

+

V1

2

p2

V2

2

+ y1 =
+
+ y2 + h
2⋅ g
ρ⋅ g

2⋅ g

The Bernoulli equation applies because we have steady,
incompressible, frictionless flow.

Noting that p 1 = p 2 = p atm, and V 1 is approximately zero (1 = upstream, 2 = downstream) the Bernoulli equation becomes
y1 =

The given data is

Q
b

V2

2

+ y2

2⋅ g

2

= 10⋅

m

y 2 = 1.25⋅ m

s

Hence

Q = V2 ⋅ A2 = V2 ⋅ b ⋅ y 2

Then upstream

2
⎞
⎜⎛ V2
y1 = ⎜
+ y2
⎝ 2⋅ g
⎠

Q
V2 =
b⋅ y2

or

m
V2 = 8
s

y 1 = 4.51 m

The maximum flow rate occurs at critical conditions (see Section 11-2), for constant specific energy
In this case

V2 = Vc =

Hence we find

y1 =

Hence

yc =

g⋅ yc

2

g⋅ yc
3
+ yc =
+ yc = ⋅ yc
2⋅ g
2⋅ g
2

Vc

2
3

⋅ y1

y c = 3.01 m

Vc =
3

m

Q
b

= Vc⋅ y c

Q
b

= 16.3⋅

s

m

(Maximum flow rate)

g⋅ yc

m
Vc = 5.43
s

Problem 11.28

Given:

Data on sluice gate

Find:

Flow rate

[Difficulty: 2]

Solution:
Basic equation:

p1
ρ⋅ g

2

+

V1

p2

2

V2

+ y1 =
+
+ y2
2⋅ g
ρ⋅ g

2⋅ g

The Bernoulli equation applies because we have steady,
incompressible, frictionless flow.

Noting that p 1 = p 2 = p atm, (1 = upstream, 2 = downstream) the Bernoulli equation becomes
2

V1

2⋅ g

2

V2

+ y1 =
+ y2
2⋅ g

The given data is

b = 3 ⋅ ft

y 1 = 6⋅ ft

y 2 = 0.9⋅ ft

Also

Q = V⋅ A

so

Q
V1 =
b ⋅ y1
2

⎛ Q ⎞
⎜ b⋅ y
⎝ 1⎠ + y =
1
2⋅ g

Using these in the Bernoulli equation

2

Solving for Q

Note that

Q =

2

2⋅ g⋅ b ⋅ y1 ⋅ y2
y1 + y2

2

Q = 49.5⋅

ft

and

Q
V2 =
b ⋅ y2

2

⎛ Q ⎞
⎜ b⋅ y
⎝ 2⎠ + y
2
2⋅ g

3

s

Q
V1 =
b⋅ y1

ft
V1 = 2.75⋅
s

Fr 1 =

Q
V2 =
b⋅ y2

ft
V2 = 18.3⋅
s

Fr 2 =

V1
g⋅ y1
V2
g⋅ y2

Fr 1 = 0.198

Fr 2 = 3.41

Problem 11.29

Given:

Data on sluice gate

Find:

Water depth and velocity after gate

[Difficulty: 2]

Solution:
E1 =

Basic equation:

y3
y2

=

V1

2

2⋅ g
1
2

p2

V2

+ y1 =
+
= E2
2⋅ g
ρ⋅ g

⎛
⎝

⋅ −1 +

1 + 8 ⋅ Fr 2

For the gate

2⎞

For the jump (state 2 before, state 3 after)

⎠
m
V1 = 0.2⋅
s

y 1 = 1.5⋅ m

The given data is

2

2

q = y 1 ⋅ V1

Hence

Then we need to solve

V2

q = 0.3

m
s

E1 =

2

+ y 2 = E1
2⋅ g

q

or

V1

2

2⋅ g

+ y1

E1 = 1.50 m

2

2⋅ g⋅ y2

2

+ y 2 = E1

with

E1 = 1.50 m

We can solve this equation iteratively (or use Excel's Goal Seek or Solver)
2

y 2 = 0.5⋅ m

⎛q⎞
⎜y
⎝ 2 ⎠ + y = 0.518 m
2
2⋅ g

y 2 = 0.055 ⋅ m

⎛q⎞
⎜y
⎝ 2 ⎠ + y = 1.57 m
2
2⋅ g

For

y 2 = 0.0563⋅ m

⎛q⎞
⎜y
⎝ 2 ⎠ + y = 1.50 m
2
2⋅ g

Then

q
V2 =
y2

m
V2 = 5.33
s

For

2

For

y 2 = 0.05⋅ m

⎛q⎞
⎜y
⎝ 2 ⎠ + y = 1.89 m
2
2⋅ g

y 2 = 0.057 ⋅ m

⎛q⎞
⎜y
⎝ 2 ⎠ + y = 1.47 m
2
2⋅ g

2

For

2

For

2

Hence

Note that

y 2 = 0.056 m

Fr 2 =

is the closest to three figs.

V2
g⋅ y2

Fr 2 = 7.17

Problem 11.30

[Difficulty: 2]

Given:

Rectangular channel flow with hump and/or side wall restriction

Find:

Whether critical flow occurs
1

Solution:
Basic equations:

⎛ Q2 ⎞
yc = ⎜
⎜ 2
⎝ g⋅ b ⎠

3

2

Q

E=y+

2

3

A = b⋅ y

Emin =

h = 350 ⋅ mm

Q = 2.4⋅

2⋅ g⋅ A

2

⋅ yc

(From Example 11.4)

3

Given data:

b = 2⋅ m

y = 1⋅ m

h = 35⋅ cm

E1 = y +

2

(a) For a hump with

Then for the bump

Ebump = E1 − h

Q

2⋅ g⋅ b

2

⋅

1
y

m
s

E1 = 1.07 m

2

Ebump = 0.723 m

(1)

1

⎡⎢ ⎛ Q 2⎥⎤
⎞
⎢ ⎜⎝ b ⎠ ⎥
yc = ⎢
⎣ g ⎥⎦

For the minimum specific energy

3

y c = 0.528 m

Emin =

3
2

⋅ yc

Emin = 0.791 m (2)

Comparing Eqs. 1 and 2 we see that the bump IS sufficient for critical flow
(b) For the sidewall restriction with

b const = 1.5⋅ m

as in Example 11.4 we have

Econst = E1

Econst = 1.073 m (3)

1

With b const:

⎡ ⎛ Q ⎞ 2⎤
⎢
⎥
⎢ ⎜⎝ b const ⎠ ⎥
yc = ⎢
⎥
g
⎣
⎦

3

y c = 0.639 m

Eminconst =

3
2

⋅ yc

Eminconst = 0.959 m (4)

Comparing Eqs. 3 and 4 we see that the constriction is NOT sufficient for critical flow

(c) For both, following Example 11.4

Eboth = E1 − h

Eboth = 0.723 m

(5)

Eminboth = Eminconst

Eminboth = 0.959 m

(6)

Comparing Eqs. 5 and 6 we see that the bump AND constriction ARE sufficient for critical flow (not surprising, as the bump alone is
sufficient!)

Problem 11.31

Given:

Hydaulic jump data

Find:

Energy consumption; temperature rise

[Difficulty: 2]

Solution:
Basic equations:

P  ρ g  Hl Q

(1)

Hl is the head loss in m of fluid); multiplying by ρg produces energy/vol; multiplying by Q produces energy/time, or power
Urate  ρ Q cH2O ∆T

(2)

Urate is the rate of increase of internal energy of the flow; cH20∆T is the energy increase per unit mass due to a ∆T temperature rise;
multiplying by ρQ converts to energy rise of the entire flow/time

3

Given data:

From Eq. 1

From Example 11.5

P  ρ g  Hl Q

Equating Eqs. 1 and 2

Q  9.65

m

Hl  0.258  m

s

kg

ρ  999 

and

3

cH2O  1 

m

P  24.4 kW

kg K

a significant energy consumption

ρ g  Hl Q  ρ Q cH2O ∆T

or

∆T 

g  Hl

∆T  6.043  10

cH2O

The power consumed by friction is quite large, but the flow is very large, so the rise in temperature is insignificant.
In English units:
P  32.7 hp

kcal

5

Q  1.53  10 gpm

∆T  1.088  10

3

∆°F

4

∆°C

Problem 11.32

Given:

Data on rectangular channel and hydraulic jump

Find:

Flow rate; Critical depth; Head loss

[Difficulty: 2]

1

Solution:
Basic equations:

The given data is

2⎞
⎛
= ⋅ −1 + 1 + 8⋅ Fr 1
⎝
⎠
y1 2

2
2
⎛⎜
V1 ⎞ ⎛⎜
V2 ⎞
Hl = E1 − E2 = ⎜ y 1 +
− ⎜y +
2⋅ g ⎠ ⎝ 2 2⋅ g ⎠
⎝

b = 4⋅ m

y 1 = 0.4⋅ m

y2

1

y 2 = 1.7⋅ m

2

1 + 8⋅ Fr 1 = 1 + 2⋅

We can solve for Fr 1 from the basic equation

⎛ Q2 ⎞
yc = ⎜
⎜ g⋅ b 2
⎝
⎠

y2
y1

2

Fr 1 =
Hence

y2 ⎞
⎛
−1
⎜ 1 + 2⋅
y1
⎝
⎠
8

V1 = Fr 1 ⋅ g ⋅ y 1

Fr 1 = 3.34

Fr 1 =

and

V1
g⋅ y1

m
V1 = 6.62
s
3

Then

Q = V1 ⋅ b ⋅ y 1

Q = 10.6⋅

m
s

1
3

The critical depth is

⎛ Q2 ⎞
yc = ⎜
⎜ g⋅ b2
⎝
⎠

Also

Q
V2 =
b⋅ y2

The energy loss is

2
2
⎛⎜
V2 ⎞
V1 ⎞ ⎛⎜
− ⎜y +
Hl = ⎜ y 1 +
2⋅ g ⎠
2⋅ g ⎠ ⎝ 2
⎝

Note that we could used

y c = 0.894 m

m
V2 = 1.56
s

Hl =

Fr 2 =

V2
g⋅ y2

Hl = 0.808 m

( y2 − y1)3
4⋅ y1⋅ y2

Hl = 0.808 m

Fr 2 = 0.381

3

Problem 11.33

Given:

Data on wide channel and hydraulic jump

Find:

Jump depth; Head loss

[Difficulty: 2]

Solution:
Basic equations:

2
2
⎛⎜
V1 ⎞ ⎛⎜
V2 ⎞
Hl = E1 − E2 = ⎜ y 1 +
− ⎜y +
2⋅ g ⎠ ⎝ 2 2⋅ g ⎠
⎝

2⎞
⎛
= ⋅ −1 + 1 + 8⋅ Fr 1
⎝
⎠
y1 2

y2

1

3

m

The given data is

Q
b

= 10⋅

s

m

Also

Q = V⋅ A = V⋅ b ⋅ y

Hence

Q
V1 =
b⋅ y1

Then

y2 =

⎛
2 ⎝

y1

⋅ −1 +

y 1 = 1⋅ m

m
V1 = 10.0
s
1 + 8 ⋅ Fr 1

2⎞

The energy loss is

Note that we could use

2
2
⎛⎜
V1 ⎞ ⎛⎜
V2 ⎞
Hl = ⎜ y 1 +
− ⎜y +
2⋅ g ⎠ ⎝ 2
2⋅ g ⎠
⎝

Hl =

( y2 − y1)3
4⋅ y1⋅ y2

V1
g⋅ y1

Fr 1 = 3.19

y 2 = 4.04 m

⎠

Q
V2 =
b⋅ y2

Fr 1 =

m
V2 = 2.47
s

Fr 2 =

V2
g⋅ y2

Hl = 1.74 m

Hl = 1.74 m

Fr 2 = 0.393

Problem 11.34

Given:

Data on wide channel and hydraulic jump

Find:

Jump depth

[Difficulty: 1]

Solution:
y2

Basic equations:

y1

⎛
2 ⎝
1

=

⋅ −1 +

1 + 8 ⋅ Fr 1

2⎞

⎠

3

m

The given data is

Q
b

= 2⋅

s

y 1 = 500 ⋅ mm

m

Also

Q = V⋅ A = V⋅ b ⋅ y

Hence

Q
V1 =
b⋅ y1

Then

y2 =

Note:

Q
V2 =
b⋅ y2

⎛
2 ⎝

y1

⋅ −1 +

m
V1 = 4.00
s
1 + 8 ⋅ Fr 1

2⎞

Fr 1 =

V1
g⋅ y1

Fr 1 = 1.806

y 2 = 1.05⋅ m

⎠
ft
V2 = 6.24⋅
s

Fr 2 =

V2
g⋅ y2

Fr 2 = 0.592

Problem 11.35

Given:

Data on wide channel and hydraulic jump

Find:

Jump depth; Head loss

[Difficulty: 2]

Solution:
Basic equations:

The given data is

1

Q = 200 ⋅

ft

3

s

Also

Q = V⋅ A = V⋅ b ⋅ y

Hence

Q
V1 =
b⋅ y1

Then

y2 =

⎛
2 ⎝

y1

⋅ −1 +

Q
V2 =
b⋅ y2

The energy loss is

Note that we could use

2
2
⎛⎜
V1 ⎞ ⎛⎜
V2 ⎞
Hl = E1 − E2 = ⎜ y 1 +
− ⎜y +
2⋅ g ⎠ ⎝ 2 2⋅ g ⎠
⎝

2⎞
⎛
= ⋅ −1 + 1 + 8⋅ Fr 1
⎝
⎠
y1 2

y2

1 + 8 ⋅ Fr 1

b = 10⋅ ft

y 1 = 1.2⋅ ft

ft
V1 = 16.7⋅
s

Fr 1 =

2⎞

V1
g⋅ y1

Fr 1 = 2.68

y 2 = 3.99⋅ ft

⎠
ft
V2 = 5.01⋅
s

2
2
⎛⎜
V1 ⎞ ⎛⎜
V2 ⎞
Hl = ⎜ y 1 +
− ⎜y +
2⋅ g ⎠ ⎝ 2
2⋅ g ⎠
⎝

Hl =

Fr 2 =

V2
g⋅ y2

Hl = 1.14⋅ ft

( y2 − y1)3
4⋅ y1⋅ y2

Hl = 1.14⋅ ft

Fr 2 = 0.442

Problem 11.36

Given:

Data on wide channel and hydraulic jump

Find:

Flow rate; Head loss

[Difficulty: 2]

Solution:
Basic equations:

The given data is

2⎞
⎛
= ⋅ −1 + 1 + 8 ⋅ Fr 1
⎝
⎠
y1
2

2
2
V1 ⎞ ⎜⎛
V2 ⎞
⎜⎛
Hl = E1 − E2 = ⎜ y 1 +
− ⎜y +
2⋅ g ⎠ ⎝ 2
2⋅ g ⎠
⎝

b = 5 ⋅ ft

y 1 = 0.66⋅ ft

y2

1

We can solve for Fr 1 from the basic equation

2

1 + 8 ⋅ Fr 1 = 1 + 2 ⋅

y 2 = 3.0⋅ ft
y2
y1

2

Fr 1 =
Hence

Then

Also

y2 ⎞
⎛
−1
⎜ 1 + 2⋅
y1
⎝
⎠
8

Fr 1 = 3.55

ft

g⋅ y1

3

Q = V1 ⋅ b ⋅ y 1

Q = 54.0⋅

Q
V2 =
b⋅ y2

ft
V2 = 3.60⋅
s

s

2
⎛⎜
V2 ⎞
− ⎜y +
⎠ ⎝ 2 2⋅ g ⎠

Fr 2 =

V2
g⋅ y2

2⎞

Note that we could use

V1

ft
V1 = 16.4⋅
s

V1 = Fr 1 ⋅ g ⋅ y 1

⎛⎜
V1
The energy loss is Hl = ⎜ y 1 +
2⋅ g
⎝

Fr 1 =

and

Hl = 1.62⋅ ft

Hl =

( y2 − y1)3
4⋅ y1⋅ y2

Hl = 1.62⋅ ft

Fr 2 = 0.366

Problem 11.37

[Difficulty: 2]

Given:

Data on wide spillway flow

Find:

Depth after hydraulic jump; Specific energy change

Solution:
Basic equations:

2⎞
⎛
= ⋅ −1 + 1 + 8 ⋅ Fr 1
⎠
y1
2 ⎝

y2

1

m
V1 = 25
s

The given data is

y 1 = 0.9⋅ m

Then Fr 1 is

Fr 1 =

Hence

y2 =

Then

Q = V1 ⋅ b ⋅ y 1 = V2 ⋅ b ⋅ y 2

For the specific energies

V1

⎛
2 ⎝

⋅ −1 +

V1

Note that we could use

1 + 8 ⋅ Fr 1

2⎞

⎠

y 2 = 10.3 m
y1
V2 = V1 ⋅
y2

m
V2 = 2.19
s

2

E1 = y 1 +
2⋅ g
V2

The energy loss is

Fr 1 = 8.42

g⋅ y1
y1

2
2
V1 ⎞ ⎜⎛
V2 ⎞
⎜⎛
Hl = E1 − E2 = ⎜ y 1 +
− ⎜y +
2⋅ g ⎠ ⎝ 2
2⋅ g ⎠
⎝

E1 = 32.8 m

2

E2 = y 2 +
2⋅ g

E2 = 10.5 m

Hl = E1 − E2

Hl = 22.3 m

Hl =

( y2 − y1)3
4⋅ y1⋅ y2

E2
E1

= 0.321

Hl = 22.3⋅ m

Problem 11.38

[Difficulty: 2]

Given:

Data on rectangular channel flow

Find:

Depth after hydraulic jump; Specific energy change

Solution:
2⎞
⎛
= ⋅ −1 + 1 + 8 ⋅ Fr 1
⎝
⎠
y1
2

2
2
V1 ⎞ ⎜⎛
V2 ⎞
⎜⎛
Hl = E1 − E2 = ⎜ y 1 +
− ⎜y +
2⋅ g ⎠ ⎝ 2
2⋅ g ⎠
⎝

y 1 = 0.4⋅ m

b = 1⋅ m

Then

Q = V1 ⋅ b ⋅ y 1 = V2 ⋅ b ⋅ y 2

Q
V1 =
b⋅ y1

Then Fr 1 is

Fr 1 =

Hence

y2 =

and

Q
V2 =
b⋅ y2

Basic equations:

y2

1

3

The given data is

For the specific energies

V1

y1
2

⎛
⎝

⋅ −1 +

Note that we could use

1 + 8 ⋅ Fr 1

2⎞

⎠

y 2 = 4.45 m
m
V2 = 1.46
s

V1

2

E1 = y 1 +
2⋅ g
V2

The energy loss is

Fr 1 = 8.20

g⋅ y1

E1 = 13.9 m

2

E2 = y 2 +
2⋅ g

E2 = 4.55 m

Hl = E1 − E2

Hl = 9.31 m

Hl =

( y2 − y1)3
4⋅ y1⋅ y2

Hl = 9.31⋅ m

Q = 6.5

m
s

m
V1 = 16.3
s

Problem 11.39

Given:

Data on sluice gate

Find:

Water depth before and after the jump

[Difficulty: 3]

Solution:
E1 =

Basic equation:

y3
y2

=

V1

2

2⋅ g
1
2

p2

V2

+ y1 =
+
= E2
2⋅ g
ρ⋅ g

⎛
⎝

⋅ −1 +

1 + 8 ⋅ Fr 2

For the gate

2⎞

For the jump (state 2 before, state 3 after)

⎠
m
V1 = 0.2⋅
s

y 1 = 1.5⋅ m

The given data is

2

2

q = y 1 ⋅ V1

Hence

Then we need to solve

V2

q = 0.3

m

E1 =

s

2

+ y 2 = E1
2⋅ g

q

or

V1

2

2⋅ g

+ y1

E1 = 1.50 m

2

2⋅ g⋅ y2

2

+ y 2 = E1

with

E1 = 1.50 m

We can solve this equation iteratively (or use Excel's Goal Seek or Solver)
2

y 2 = 0.5⋅ m

⎛q⎞
⎜y
⎝ 2 ⎠ + y = 0.518 m
2
2⋅ g

y 2 = 0.055 ⋅ m

⎛q⎞
⎜y
⎝ 2 ⎠ + y = 1.57 m
2
2⋅ g

For

y 2 = 0.0563⋅ m

⎛q⎞
⎜y
⎝ 2 ⎠ + y = 1.50 m
2
2⋅ g

Then

q
V2 =
y2

m
V2 = 5.33
s

For

2

For

y 2 = 0.05⋅ m

⎛q⎞
⎜y
⎝ 2 ⎠ + y = 1.89 m
2
2⋅ g

y 2 = 0.057 ⋅ m

⎛q⎞
⎜y
⎝ 2 ⎠ + y = 1.47 m
2
2⋅ g

2

For

2

For

2

For the jump (States 2 to 3)

y3 =

⎛
2 ⎝

y2

⋅ −1 +

Hence

Note that

1 + 8 ⋅ Fr 2

2⎞

⎠

y 2 = 0.056 m

Fr 2 =

y 3 = 0.544 m

is the closest to three figs.
V2
g⋅ y2

Fr 2 = 7.17

Problem 11.40

Given:

Surge wave

Find:

Surge speed

[Difficulty: 3]

V2

At rest
y1

Solution:
2

Basic equations:

V1 ⋅ y 1
g

+

y1

2

2

=

2

V2 ⋅ y 2
g

+

y2

V 2 = VSurge

2

2

(This is the basic momentum equation for the flow)

V1 ⋅ y 1 = V2 ⋅ y 2

Then

2
2
y 2 − y 1 = ⋅ ⎛ V1 ⋅ y 1 − V2 ⋅ y 2⎞ =
⎠
g ⎝
2

2

2

2

2 ⋅ V2

2

y2
y1

2
2 ⎡
⎡ V 2
⎤
⎤
⎢⎛ 1 ⎞
⎥ 2 ⋅ V2 ⎢⎛ y2 ⎞
⎥
⋅ y1 − y2 =
⋅ y1 − y2
⋅ ⎜
⋅ ⎜
⎢ V
⎥
⎢ y
⎥
g
g
⎣⎝ 2 ⎠
⎦
⎣⎝ 1 ⎠
⎦

2 ⋅ V2

2

2

2

y2
y2 + y1 = 2⋅
⋅
g y1
g⋅ y1

=

⎛ 2
⎞ 2 ⋅ V 2⋅ y y − y
2 2 ( 2
1)
⎜ y2
⋅
− y2 =
⋅
g ⎜ y1
g
y1
⎝
⎠

V2

V2 =

But

V2

2

y2 − y1 =

Dividing by (y 2 - y 1)

V1

or

⎛

y1 ⎞

⎝

y2

⋅⎜1 +

V2 = VSurge

(

or

y2 + y1
g
2
V2 = ⋅ y 1 ⋅
2
y2

so

VSurge =

)

⎠
g⋅ y1
2

⎛

y1 ⎞

⎝

y2

⋅⎜1 +

⎠

y2

Problem 11.41

Given:

Tidal bore

Find:

Speed of undisturbed river

[Difficulty: 3]

At rest
V1 = Vr + Vbore

Solution:
2

Basic equations:

V2 ⋅ y 2
g

+

y2

2

2

2

V1 ⋅ y 1

=

g

+

y1

y2

y1

2

2

(This is the basic momentum equation for the flow)
V2

V2 ⋅ y 2 = V1 ⋅ y 1

or

Given data

Vbore = 18⋅ mph

ft
Vbore = 26.4⋅
s

Then

2
2
y 1 − y 2 = ⋅ ⎛ V2 ⋅ y 2 − V1 ⋅ y 1⎞ =
⎝
⎠
g
2

2

2

2

2

2 ⋅ V1

y1 − y2 =

Dividing by (y 2 - y 1)

2

y2
y 1 = 8 ⋅ ft

y 2 = y 1 + 12⋅ ft

y 2 = 20⋅ ft

2 ⎡
2
⎡ V ⎞2
⎤
⎤
⎢⎛ 2
⎥ 2 ⋅ V1 ⎢⎛ y1 ⎞
⎥
⋅ ⎜
⋅ y2 − y1 =
⋅ ⎜
⋅ y2 − y1
⎢
⎥
⎢
⎥
g
g
⎣⎝ V1 ⎠
⎦
⎣⎝ y2 ⎠
⎦

2 ⋅ V1

2

2

2

y1
y1 + y2 = 2⋅
⋅
g y2
g⋅ y2

y1

⎛ 2
⎞ 2 ⋅ V 2⋅ y y − y
1 1 ( 1
2)
⎜ y1
⋅
− y1 =
⋅
⎜
g
g
y2
⎝ y2
⎠

V1

V1 =

But

V1

=

or

⎛

y2 ⎞

⎝

y1

⋅⎜1 +

V1 = Vr + Vbore

⎠
or

(

y1 + y2
g
2
V1 = ⋅ y 2 ⋅
2
y1

)

ft
V1 = 33.6⋅
s

V1 = 22.9⋅ mph

Vr = V1 − Vbore

ft
Vr = 7.16⋅
s

Vr = 4.88⋅ mph

Problem 11.42

Given:

Rectangular channel flow

Find:

Discharge

[Difficulty: 1]

Solution:
Basic equation:

Q

1
n

2

1

3

2

 A Rh  Sb

Note that this is an "engineering" equation, to be used without units!
For a rectangular channel of width b  2  m and depth y  1.5 m we find from Table 11.1
2

A  b y

A  3.00 m

n  0.015

Manning's roughness coefficient is

Q

1.49

2

1

3

2

 A Rh  Sb
n

Rh 

and

b y
b  2 y

Sb  0.0005
3

Q  3.18

m
s

Rh  0.600  m

Problem 11.43

Given:

Data on rectangular channel

Find:

Depth of flow

[Difficulty: 3]

Solution:
Basic equation:

Q=

1

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

Note that this is an "engineering" equation, to be used without units!
3

For a rectangular channel of width b = 2.5⋅ m and flow rate Q = 3 ⋅

Manning's roughness coefficient is

n = 0.015

Q=

1
n

b⋅ y

⋅ b ⋅ y ⋅ ⎛⎜

s

we find from Table 11.1

A = b⋅ y

R=

b⋅ y
b + 2⋅ y

Sb = 0.0004

and

2

Hence the basic equation becomes

m

1

3

⎞ ⋅S 2
b

⎝ b + 2⋅ y ⎠
2

3
⎞ = Q⋅ n
1
⎝ b + 2⋅ y ⎠

y ⋅ ⎛⎜

Solving for y

b⋅ y

b ⋅ Sb

2

This is a nonlinear implicit equation for y and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below, to make the
Q⋅ n
left side evaluate to
= 0.900 .
1

b ⋅ Sb

2
2

For

y = 1

( m)

y ⋅ ⎛⎜

b⋅ y

2

3

⎞ = 0.676
⎝ b + 2⋅ y ⎠

For

y = 1.2

( m)

y ⋅ ⎛⎜

b⋅ y

2

For

y = 1.23

( m)

The solution to three figures is

y ⋅ ⎛⎜

b⋅ y

2

3

⎞ = 0.894
⎝ b + 2⋅ y ⎠

3

⎞ = 0.865
⎝ b + 2⋅ y ⎠

For

y = 1.24

( m)

y = 1.24

(m)

y ⋅ ⎛⎜

b⋅ y

3

⎞ = 0.904
⎝ b + 2⋅ y ⎠

Problem 11.44

Given:

Data on trapzoidal channel

Find:

Depth of flow

[Difficulty: 3]

Solution:
Basic equation:

Q=

1.49

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

Note that this is an "engineering" equation, to be used without units!
α = atan ⎛⎜

b = 8 ⋅ ft

For the trapezoidal channel we have

1⎞

⎝ 2⎠

α = 26.6deg

Q = 100⋅

ft

3

S0 = 0.0004

s

n = 0.015
A = y ⋅ ( b + y ⋅ cot ( α ) ) = y ⋅ ( 8 + 2⋅ y )

Hence from Table 11.1

Q=

Hence

1.49

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

Rh =
2

=

1.49
0.015

⋅ y ⋅ ( 8 + 2 ⋅ y ) ⋅ y ⋅ ⎡⎢

y⋅ ( 8 + 2⋅ y)⎤

y ⋅ ( b + y ⋅ cot(α))
2⋅ y

b +

=

y ⋅ ( 8 + 2⋅ y )
8 + 2⋅ y ⋅ 5

sin ( α )

1

3

2
⎥ ⋅ 0.0004 = 100(Note that we don't use units!)
⎣ 8 + 2⋅ y⋅ 5 ⎦

5

Solving for y

[ y⋅ ( 8 + 2⋅ y) ]

3
2

= 50.3

( 8 + 2⋅ y⋅ 5) 3
This is a nonlinear implicit equation for y and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below.
5

For

For

y = 2

y = 2.6

( ft)

( ft)

[ y⋅ ( 8 + 2⋅ y) ]

5

3
2

= 30.27

For

y = 3

( ft)

3
2

( 8 + 2⋅ y⋅ 5) 3

( 8 + 2⋅ y⋅ 5) 3

5

5

[ y⋅ ( 8 + 2⋅ y) ]

3
2

= 49.81

For

y = 2.61

( ft)

( 8 + 2⋅ y⋅ 5) 3
The solution to three figures is

[ y⋅ ( 8 + 2⋅ y) ]

[ y⋅ ( 8 + 2⋅ y) ]

3
2

( 8 + 2⋅ y⋅ 5) 3
y = 2.61

(ft)

= 65.8

= 50.18

Problem 11.45

Given:

Data on trapezoidal channel

Find:

Depth of flow

[Difficulty: 3]

Solution:
Basic equation:

Q=

1

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

Note that this is an "engineering" equation, to be used without units!
b = 2.5⋅ m

For the trapezoidal channel we have

α = atan⎛⎜

1⎞

⎝2⎠

3

α = 26.6 deg

Q = 3⋅

m

S0 = 0.0004

s

n = 0.015
A = y ⋅ ( b + cot( α) ⋅ y ) = y ⋅ ( 8 + 2 ⋅ y )

Hence from Table 11.1

R=

y ⋅ ( b + y ⋅ cot( α) )
b+

2

Q=

Hence

1
n

2

1

3

⋅ A⋅ Rh ⋅ Sb

2

=

1
0.015

⋅ y ⋅ ( 2.5 + 2 ⋅ y ) ⋅ ⎡⎢

( 2.5 + 2 ⋅ y ) ⋅ y⎤

2⋅ y

=

y ⋅ ( 2.5 + 2 ⋅ y )
2.5 + 2 ⋅ y ⋅ 5

cot( α)

1

3

2
⎥ ⋅ 0.0004 = 3
⎣ 2.5 + 2⋅ y ⋅ 5 ⎦

(Note that we don't use units!)

5

Solving for y

[ y ⋅ ( 2.5 + 2 ⋅ y ) ]

3
2

= 2.25

( 2.5 + 2⋅ y⋅ 5) 3
This is a nonlinear implicit equation for y and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below.
5

For

For

y = 1

y = 0.81

( m)

( m)

[ y ⋅ ( 2.5 + 2 ⋅ y ) ]

5

3
2

= 3.36

For

y = 0.8

( m)

3
2

( 2.5 + 2⋅ y⋅ 5) 3

( 2.5 + 2⋅ y⋅ 5) 3

5

5

[ y ⋅ ( 2.5 + 2 ⋅ y ) ]

3
2

= 2.23

For

y = 0.815

( m)

( 2.5 + 2⋅ y⋅ 5) 3
The solution to three figures is

[ y ⋅ ( 2.5 + 2 ⋅ y ) ]

[ y ⋅ ( 2.5 + 2 ⋅ y ) ]

3
2

( 2.5 + 2⋅ y⋅ 5) 3
y = 0.815

(m)

= 2.17

= 2.25

Problem 11.46

Given:

Data on flume

Find:

Discharge

[Difficulty: 1]

Solution:
Basic equation:

Q

1.49
n

2

1

3

2

 A Rh  Sb

Note that this is an "engineering" equation, to be used without units!
For a rectangular channel of width b  6  ft and depth y  3  ft we find from Table 11.1

A  b y

A  18 ft

n  0.013

For concrete (Table 11.2)

Q

2

1.49

2

1

3

2

 A Rh  Sb
n

Rh 

and

b y
b  2 y

1  ft
Sb 
1000 ft

Q  85.5

ft

3

s

Rh  1.50 ft

Sb  0.001

Problem 11.47

Given:

Data on flume

Find:

Slope

[Difficulty: 1]

Solution:
Basic equation:

Q

1.49

2

1

3

2

 A Rh  Sb
n

Note that this is an "engineering" equation, to be used without units!
For a rectangular channel of width b  3  ft and depth y  6  ft we find
A  b y

A  18 ft

2

Rh 

b y

Rh  1.20 ft

b  2 y

n  0.0145

For wood (not in Table 11.2) a Google search finds n = 0.012 to 0.017; we use

Sb 

n Q



2


 1.49 A R 3
h 


2

Sb  1.86  10

3

with

Q  90

ft

3

s

Problem 11.48

Given:

Data on square channel

Find:

Dimensions for concrete and soil cement

[Difficulty: 2]

Solution:
Basic equation:

Q

1
n

2

1

3

2

 A Rh  Sb

Note that this is an "engineering" equation, to be used without units!
A b

For a square channel of width b we find

2

R

b y
b  2 y



b

b  2 b
3

2

Hence

1
8

1

2
3
Sb
b
3
2

Q  b 
 Sb 
b
n
3
2
 

1

2

n 3

3

or

2


3
 3 Q 
b
 n
1


 Sb 2



3

The given data is

Q  20

m
s

For concrete, from Table 11.2 (assuming large depth)

Sb  0.003
n  .013
b  2.36 m

For soil cement from Table 11.2 (assuming large depth)

n  .020
b  2.77 m

2

8



b
3

Problem 11.49

Given:

Data on trapezoidal channel

Find:

Bed slope

[Difficulty: 1]

Solution:
Basic equation:

Q

1

2

1

3

2

 A Rh  Sb
n

Note that this is an "engineering" equation, to be used without units!
3

For the trapezoidal channel we have

b  2.4 m

α  45 deg

For bare soil (Table 11.2)

n  0.020

Hence from Table 11.1

A  y  ( b  cot( α)  y )

Hence

Sb 

 Q n 

2


 A R 3
h 


y  1.2 m

2

A  4.32 m

2

Sb  1.60  10

Rh 

3

Q  7.1

y  ( b  y  cot( α) )
b

2 y
sin( α)

m
s

Rh  0.746 m

Problem 11.50

Given:

Data on triangular channel

Find:

Required dimensions

[Difficulty: 1]

Solution:
Basic equation:

Q=

1
n

2

1

3

2

⋅ A⋅ Rh ⋅ Sb

Note that this is an "engineering" equation, to be used without units!
3

α = 45⋅ deg

Sb = 0.001

For concrete (Table 11.2)

n = 0.013

(assuming y > 60 cm: verify later)

Hence from Table 11.1

A = y ⋅ cot( α) = y

For the triangular channel we have

2

2

Hence

Q=

1

3

⋅ A⋅ Rh ⋅ Sb
n

2

Rh =

y ⋅ cos( α)
2
2

1
2

=

1
n

⋅ y ⋅ ⎛⎜
2

3

Q = 10⋅

=

m
s

y
2⋅ 2
8

1

1

8

1

3

⎞ ⋅S = 1 ⋅y 3 ⋅⎛ 1 ⎞ ⋅S 2 = 1 ⋅y 3 ⋅S 2
⎜8
b n
b
b
2⋅ n
⎝ ⎠
⎝ 2⋅ 2 ⎠
y

3

Solving for y

2⋅ n⋅ Q ⎞
y = ⎛⎜
⎝ Sb ⎠

8

y = 2.20 m

(The assumption that y > 60 cm is verified)

Problem 11.51

Given:

Data on semicircular trough

Find:

Discharge

[Difficulty: 2]

Solution:
Basic equation:

Q

1

2

1

3

2

 A Rh  Sb
n

Note that this is an "engineering" equation, to be used without units!
For the semicircular channel

D  1 m

y  0.25 m

Hence, from geometry

y D

2
α  2  asin
  180  deg
D

 2 

α  120  deg

n  0.022

For corrugated steel, a Google search leads to

Hence from Table 11.1

1

A 

8

Rh 

Then the discharge is

Q

1
n

2

A  0.154 m

D

Rh  0.147 m

 ( α  sin( α) )  D

1
4

Sb  0.01

  1 



sin( α) 
α



2

1

3

3
2 m

 A Rh  Sb 
s

2

3

Q  0.194

m
s

Problem 11.52

Given:

Data on semicircular trough

Find:

Discharge

[Difficulty: 1]

Solution:
Basic equation:

Q=

1

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

Note that this is an "engineering" equation, to be used without units!
For the semicircular channel

D = 1⋅ m

α = 180 ⋅ deg

For corrugated steel, a Google search leads to (Table 11.2)

Hence from Table 11.1

1

A =

8

Rh =

Then the discharge is

Q=

1
n

2

A = 0.393 m

⋅D

Rh = 0.25 m

⋅ ( α − sin( α) ) ⋅ D

1
4

⋅ ⎛⎜ 1 −

⎝

sin( α) ⎞
α

n = 0.022

⎠

2

1

3

3
2 m

⋅ A⋅ Rh ⋅ Sb ⋅
s

2

3

Q = 0.708

m
s

Sb = 0.01

Problem 11.53

Given:

Data on flume with plastic liner

Find:

Depth of flow

[Difficulty: 3]

Solution:
Basic equation:

Q=

1.49
n

2

1

3

2

⋅ A⋅ Rh ⋅ Sb

Note that this is an "engineering" equation, to be used without units!
For a rectangular channel of width b = 6 ⋅ ft and depth y we find from Table 11.1
A = b⋅ y = 6⋅ y
n = 0.010

and also

R=
1 ⋅ ft
Sb =
1000⋅ ft

and
2

Q=

Hence

1.49
n

3

2

2

=

1.49
0.010

6⋅ y

⋅ 6 ⋅ y ⋅ ⎛⎜

y

1

⎞ ⋅ 0.001 2 = 85.5 (Note that we don't use units!)

⎝ 6 + 2⋅ y ⎠

5

3
2

( 6 + 2⋅ y)

6⋅ y
6 + 2⋅ y

3

5

Solving for y

=

Sb = 0.001

1

⋅ A⋅ Rh ⋅ Sb

b⋅ y
b + 2⋅ y

3

85.5⋅ 0.010

=

or

1

2

2

3

1.49⋅ .001 ⋅ 6 ⋅ 6

y

3
2

( 6 + 2⋅ y)

= 0.916

3

This is a nonlinear implicit equation for y and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below. We start
with Problem 11.46's depth
5

For

y = 3

( feet)

y

5

3
2

( 6 + 2⋅ y)

= 1.191

For

y = 2

( feet)

3

y

2

( 6 + 2⋅ y)

5

For

y = 2.5

( feet)

y

2

= 0.931

For

y = 2.45

( feet)

3

y = 2.47

( feet)

y

3
2

( 6 + 2⋅ y)

3

y

3

3
2

( 6 + 2⋅ y)

5

For

= 0.684

5

3

( 6 + 2⋅ y)

3

= 0.916

y = 2.47

(feet)

3

= 0.906

Problem 11.54

Given:

Data on trapzoidal channel

Find:

New depth of flow

Solution:
Basic equation:

Q=

1
n

2

1

3

2

⋅ A⋅ Rh ⋅ Sb

[Difficulty: 3]

Note that this is an "engineering" equation, to be used without units!
3

b = 2.4⋅ m

For the trapezoidal channel we have

α = 45⋅ deg

For bare soil (Table 11.2)

n = 0.020

Hence from Table 11.1

A = y ⋅ ( b + cot( α) ⋅ y ) = y ⋅ ( 2.4 + y )

Q = 10⋅

R=

m

y ⋅ ( b + y ⋅ cot( α) )
b+

2

Q=

Hence

1

2

1

3

⋅ A⋅ Rh ⋅ Sb
n

2

=

1
0.020

⋅ y ⋅ ( 2.4 + y ) ⋅ ⎡⎢

y ⋅ ( 2.4 + y )

Sb = 0.00193

s

2⋅ y

=

y ⋅ ( 2.4 + y )
2.4 + 2 ⋅ y ⋅ 2

sin( α)

1

3

2
⎤
⎥ ⋅ 0.00193 = 10
⎣ 2.4 + 2 ⋅ y⋅ 2⎦

(Note that we don't use units!)

5

Solving for y

[ y ⋅ ( 2.4 + y ) ]

3
2

= 4.55

( 2.4 + 2⋅ y⋅ 2) 3
This is a nonlinear implicit equation for y and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below. We start
with a larger depth than Problem 11.49's.
5

For

y = 1.5

( m)

[ y ⋅ ( 2.4 + y ) ]

5

3
2

= 5.37

For

y = 1.4

( m)

( 2.4 + 2⋅ y⋅ 2) 3

[ y ⋅ ( 2.4 + y ) ]

2

y = 1.35

( m)

[ y ⋅ ( 2.4 + y ) ]

5

3
2

= 4.41

For

y = 1.37

( m)

( 2.4 + 2⋅ y⋅ 2) 3
The solution to three figures is

= 4.72

( 2.4 + 2⋅ y⋅ 2) 3

5

For

3

[ y ⋅ ( 2.4 + y ) ]

3
2

( 2.4 + 2⋅ y⋅ 2) 3
y = 1.37

(m)

= 4.536

Problem 11.55

Given:

Data on trapzoidal channel

Find:

New depth of flow

Solution:
Basic equation:

Q=

1

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

[Difficulty: 3]

Note that this is an "engineering" equation, to be used without units!
3

b = 2.4⋅ m

For the trapezoidal channel we have

α = 45⋅ deg

For bare soil (Table 11.2)

n = 0.010

Hence from Table 11.1

A = y ⋅ ( b + y ⋅ cot( α) ) = y ⋅ ( 2.4 + y )

Q=

Hence

1

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

Q = 7.1⋅

Rh =
2

=

1
0.010

⋅ y ⋅ ( 2.4 + y ) ⋅ ⎡⎢

y ⋅ ( 2.4 + y )

m

Sb = 0.00193

s

y ⋅ ( b + y ⋅ cot( α) )
b+

=

2⋅ y

y ⋅ ( 2.4 + y )
2.4 + 2 ⋅ y ⋅ 2

sin( α)

1

3

2
⎤
⎥ ⋅ 0.00193 = 7.1 (Note that we don't use units!)
⎣ 2.4 + 2 ⋅ y⋅ 2⎦

5

Solving for y

[ y ⋅ ( 2.4 + y ) ]

3
2

= 1.62

( 2.4 + 2⋅ y⋅ 2) 3
This is a nonlinear implicit equation for y and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below. We start
with a shallower depth than that of Problem 11.49.
5

For

y = 1

( m)

[ y ⋅ ( 2.4 + y ) ]

5

3
2

= 2.55

For

y = 0.75

( m)

( 2.4 + 2⋅ y⋅ 2) 3

[ y ⋅ ( 2.4 + y ) ]

2

y = 0.77

( m)

[ y ⋅ ( 2.4 + y ) ]

5

3
2

= 1.60

For

y = 0.775

( m)

( 2.4 + 2⋅ y⋅ 2) 3
The solution to three figures is

= 1.53

( 2.4 + 2⋅ y⋅ 2) 3

5

For

3

[ y ⋅ ( 2.4 + y ) ]

3
2

( 2.4 + 2⋅ y⋅ 2) 3
y = 0.775

(m)

= 1.62

Problem 11.56

Given:

Data on semicircular trough

Find:

New depth of flow

[Difficulty: 4]

Solution:
Q=

Basic equation:

1

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

Note that this is an "engineering" equation, to be used without units!
3

D = 1⋅ m

For the semicircular channel

Sb = 0.01

2

Q=

Hence

−

Solving for α

1

A=

α

1

1
8

⋅ ( α − sin( α) )

3

⋅ A⋅ Rh ⋅ Sb
n

2

Rh =
2

1

2
3

8

2

⋅ ( α − sin( α) ) ⋅ D =

=

m
s

n = 0.022

For corrugated steel, a Google search leads to (Table 11.2)

From Table 11.1

Q = 0.5⋅

1
4

⋅ ⎛⎜ 1 −

⎝

sin( α) ⎞
α

⎠

⋅D =

1
4

⋅ ⎜⎛ 1 −

⎝

sin( α) ⎞
α

1

3

sin( α) ⎞⎤
1
1
2
⋅ 0.01 = 0.5 (Note that we don't use units!)
⋅ ⎢⎡ ⋅ ( α − sin( α) )⎤⎥ ⋅ ⎡⎢ ⋅ ⎛⎜ 1 −
⎥
0.022 ⎣ 8
α ⎠⎦
⎦ ⎣4 ⎝
1

5

⋅ ( α − sin( α) )

3

= 2.21

This is a nonlinear implicit equation for α and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below. We start
with a half-full channel
−

For

α = 180 ⋅ deg

α
−

For

α = 159 ⋅ deg

α

2
3

5

⋅ ( α − sin( α) )

3

−

= 3.14

For

α = 160 ⋅ deg

5

2
3

⋅ ( α − sin( α) )

3

y =

D
2

⋅ ⎜⎛ 1 − cos⎛⎜

⎝

α
−

= 2.20

For

α = 159.2 ⋅ deg

The solution to three figures is α = 159 ⋅ deg

From geometry

⎠

α ⎞⎞

⎝ 2 ⎠⎠

y = 0.410 m

α

2
3

5

⋅ ( α − sin( α) )

= 2.25

5

2
3

3

⋅ ( α − sin( α) )

3

= 2.212

Problem 11.57

[Difficulty: 3]

Given:

Triangular channel

Find:

Proof that wetted perimeter is minimized when sides meet at right angles

Solution:
From Table 11.1

2

A = y ⋅ cot( α)

P=

2⋅ y
sin( α)
y=

We need to vary z to minimize P while keeping A constant, which means that

Hence we eliminate y in the expression for P

For optimizing P

dP
dα

or

=−

2 ⋅ ( A⋅ cos( α) − A⋅ sin( α) ⋅ tan( α) )
sin( 2 ⋅ α) ⋅ A⋅ tan( α)

A⋅ cos( α) − A⋅ sin( α) ⋅ tan( α) = 0

P = 2⋅

A

⋅

A

with A = constant

cot( α)

1

cot( α) sin( α)

=0

1
tan( α)

= tan( α)

tan( α) = 1

α = 45⋅ deg

For α = 45o we find from the figure that we have the case where the sides meet at 90o. Note that we have only proved that this is
a minimum OR maximum of P! It makes sense that it's the minimum, as, for constant A, we get a huge P if we set α to a large
number (almost vertical walls); hence we can't have a maximum value at α = 45o.

Problem 11.58

Given:

Data on trapezoidal channel

Find:

Normal depth and velocity

[Difficulty: 3]

Solution:
Basic equation:

Q=

1.49

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

Note that this is an "engineering" equation, to be used without units!
b = 20⋅ ft

For the trapezoidal channel we have

α = atan( 2 )

α = 63.4 deg

A = y ⋅ ( b + y ⋅ cot( α) ) = y ⋅ ⎛⎜ 20 +

Hence from Table 11.2

⎝

1
2

Q = 400 ⋅

⋅ y⎞

⎠

Hence

3

s

Rh =

2

Sb = 0.0016

n = 0.025

y ⋅ ( b + y ⋅ cot( α) )
b+

2⋅ y

y ⋅ ⎜⎛ 20 +

⎝

=

1
2

⋅ y⎞

20 + y ⋅ 5

sin( α)

3

1
⎡ y ⋅ ⎛ 20 + 1 ⋅ y⎞ ⎤
⎜
⎢
⎥
1
1
1
2 ⎠
2
3
2
⎝
Q = ⋅ A⋅ Rh ⋅ Sb =
⋅ y ⋅ ⎛⎜ 20 + ⋅ y⎞ ⋅ ⎢
⎥ ⋅ 0.0016 = 400
n
0.025 ⎝
2 ⎠ ⎣ 20 + y ⋅ 5 ⎦
2

ft

1

(Note that we don't use units!)

5

Solving for y

3
⎡y⋅ ⎛ 20 + 1 ⋅ y⎞⎤
⎢ ⎜
⎥
2 ⎠⎦
⎣ ⎝
= 250

This is a nonlinear implicit equation for y and must be solved numerically. We
can use one of a number of numerical root finding techniques, such as
Newton's method, or we can use Excel's Solver or Goal Seek, or we can
manually iterate, as below. We start with an arbitrary depth

2

( 20 + y⋅ 5) 3
5

For

y = 5

( ft)

⎡y⋅ ⎛ 20 + 1 ⋅ y⎞⎤
⎢ ⎜
⎥
2 ⎠⎦
⎣ ⎝

5

3

= 265

2

For

y = 4.9

( ft)

( 20 + y⋅ 5) 3

3
⎡y⋅ ⎛ 20 + 1 ⋅ y⎞⎤
⎢ ⎜
⎥
2 ⎠⎦
⎣ ⎝
= 256
2

( 20 + y⋅ 5) 3
5

For

y = 4.85

( ft)

⎡y⋅ ⎛ 20 + 1 ⋅ y⎞⎤
⎢ ⎜
⎥
2 ⎠⎦
⎣ ⎝
2

5

3

= 252

For

y = 4.83

( ft)

( 20 + y⋅ 5) 3
The solution to three figures is y = 4.83⋅ ft
Finally, the normal velocity is V =

Q
A

⎡y⋅ ⎛ 20 + 1 ⋅ y⎞⎤
⎢ ⎜
⎥
2 ⎠⎦
⎣ ⎝
2

( 20 + y⋅ 5) 3
Then

A = ( b + y ⋅ cot( α) ) ⋅ y

V = 3.69⋅

ft
s

A = 108 ⋅ ft

2

3

= 250

⎠

Problem 11.59

Given:

Data on trapezoidal channel

Find:

Geometry for greatest hydraulic efficiency

Solution:
Basic equation:

Q=

1
n

2

1

3

2

⋅ A⋅ Rh ⋅ Sb

[Difficulty: 5]

Note that this is an "engineering" equation, to be used without units!
For the trapezoidal channel we have

From Table 11.1

α = atan⎛⎜

3

1⎞

α = 26.6⋅ deg

⎝2⎠

A = y ⋅ ( b + y ⋅ cot( α) )

Q = 250⋅

P=b +

m

Sb = 0.001

s

n = 0.020

2⋅ y
sin ( α )

We need to vary b and y to obtain optimum conditions. These are when the area and perimeter are optimized. Instead of two
independent variables b and y, we eliminate b by doing the following

b=

Taking the derivative w.r.t. y

But at optimum conditions

Hence

∂
∂y
∂
∂y

A
y

P=

0=−

Hence

Then

A
y

− y ⋅ cot ( α ) +

2⋅ y
sin ( α )

2
1 ∂
A
− cot ( α ) +
⋅ A −
sin ( α )
y ∂y
2
y
∂

and

A

− cot( α) +

2

2⋅ y
sin( α)

∂y

2

or

sin( α)

A = y ⋅ ( b + y ⋅ cot( α) )

b=

P=

and so

P=0

y
Comparing to

− y ⋅ cot( α)

we find

A=

2⋅ y

2

sin( α)

2

− y ⋅ cot( α)

A = y ⋅ ( b + y ⋅ cot( α) ) =

2⋅ y

2

sin( α)

2

− y ⋅ cot( α)

− 2 ⋅ y ⋅ cot( α)

A = y ⋅ ( b + y ⋅ cot( α) ) = y ⋅ ⎜⎛

2⋅ y

⎝ sin( α)

P=b+

A=0

2⋅ y
sin( α)

=

4⋅ y
sin( α)

− 2 ⋅ y ⋅ cot( α) + y ⋅ cot( α) ⎞ = y ⋅ ⎜⎛
2

⎠

− 2 ⋅ y ⋅ cot( α) = 2 ⋅ y ⋅ ⎜⎛

2

⎝ sin( α)

2

⎝ sin( α)

− cot( α) ⎞

⎠

− cot( α) ⎞

⎠

y ⋅ ⎜⎛
2

and

Rh =

A
P

=

⎝ sin( α)
⎠ = y
2
2
− cot( α) ⎞
2 ⋅ y ⋅ ⎛⎜
⎝ sin( α)
⎠
2

Hence

Q=

1
n

− cot( α) ⎞

2

3

⋅ A⋅ Rh ⋅ Sb

2

1
2

=

1
n

⋅ ⎡⎢y ⋅ ⎛⎜

2

2

⎣

⎝ sin( α)

− cot( α) ⎞⎥⎤ ⋅ ⎛⎜

⎠⎦

y⎞

⎝2⎠

1

3

⋅ Sb

2

1

8

2
3
y ⋅ Sb
2
⎛
⎞
Q= ⎜
− cot( α) ⋅
2
⎝ sin( α)
⎠

n⋅ 2

3
3

Solving for y

Finally

2
⎡
⎤
⎢
⎥
3
2 ⋅ n⋅ Q
⎢
⎥
y =
⎢
1⎥
⎢ 2
⎥
2
− cot( α) ⎞ ⋅ Sb ⎥
⎢ ⎛⎜
⎣ ⎝ sin( α)
⎠
⎦

b =

2⋅ y
sin( α)

− 2 ⋅ y ⋅ cot( α)

8

y = 5.66

(m)

b = 2.67

(m)

Problem 11.60

Given:

Data on trapezoidal channel

Find:

Normal depth

Solution:
Q=

Basic equation:

1.49

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

[Difficulty: 3]

Note that this is an "engineering" equation, to be used without units!
b = 20⋅ ft

For the trapezoidal channel we have

α = atan⎛⎜

⎞
⎝ 1.5 ⎠
1

α = 33.7 deg

Q = 1000⋅

ft

3

s

S0 = 0.0002 n = 0.014
A = y ⋅ ( b + y ⋅ cot( α) ) = y ⋅ ( 20 + 1.5⋅ y )

Hence from Table 11.1

Hence

Q=

1.49

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

Rh =

2

=

1.49
0.014

⋅ y ⋅ ( 20 + 1.5⋅ y ) ⋅ ⎡⎢

y ⋅ ( 20 + 1.5⋅ y ) ⎤

y ⋅ ( b + y ⋅ cot( α) )
b+

2⋅ y

=

y ⋅ ( 20 + 1.5⋅ y )
20 + 2 ⋅ y ⋅ 3.25

sin( α)

1

3

2
⎥ ⋅ 0.0002 = 1000 (Note that we don't use units!)
⎣ 20 + 2 ⋅ y⋅ 3.25⎦

5

Solving for y

[ ( 20 + 1.5⋅ y ) ⋅ y ]

3
2

( 20 + 2⋅ y⋅

3.25)

= 664

3

This is a nonlinear implicit equation for y and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below.
5

For

y = 7.5

( ft)

[ ( 20 + 1.5⋅ y ) ⋅ y ]

3
2

( 20 + 2⋅ y⋅

5

3.25)

= 684

For

y = 7.4

( ft)

[ ( 20 + 1.5⋅ y ) ⋅ y ]

2

( 20 + 2⋅ y⋅

3

3.25)

5

For

y = 7.35

( ft)

[ ( 20 + 1.5⋅ y ) ⋅ y ]

( 20 + 2⋅ y⋅
The solution to three figures is

3.25)

= 667

3

5

3
2

3

= 658

For

y = 7.38

( ft)

[ ( 20 + 1.5⋅ y ) ⋅ y ]

2

( 20 + 2⋅ y⋅

3

y = 7.38

(ft)

3

3.25)

3

= 663

Problem 11.61

Given:

Trapezoidal channel

Find:

Geometry for greatest hydraulic efficiency

[Difficulty: 5]

Solution:
From Table 11.1

A = y ⋅ ( b + y ⋅ cot ( α ) )

P=b+

2⋅ y
sin( α)

We need to vary b and y (and then α!) to obtain optimum conditions. These are when the area and perimeter are optimized. Instead
of two independent variables b and y, we eliminate b by doing the following
b =

Taking the derivative w.r.t. y

But at optimum conditions

Hence

∂
∂y
∂
∂y

A

P=0

But

∂
∂α

− cot( α) +

2

2

cot( α) + 1 =

We can now evaluate A from Eq 1

A=

− y ⋅ cot ( α ) +

2⋅ y
sin ( α )

2

sin( α)

A =0

2

)=0

2⋅ y

2

2

− y ⋅ cot( α)

sin( α)

−

or

cos( α)

2

2

2

sin( α) + cos( α)

+1=

sin( α)

α = acos⎛⎜

2

1⎞

2⋅ y

− y ⋅ cot( α) =

2

−

1

2

⋅y =

3

3

=

2

(

2

1
sin( α)

2

⎛ 4 − 1 ⎞ ⋅ y2 = 3⋅ y2
⎜
3⎠
⎝ 3

2

But for a trapezoid

Comparing the two A expressions

A = y ⋅ ( b + y ⋅ cot( α) ) = y ⋅ ⎛⎜ b +

⎝

A = ⎛⎜ b +

⎝

1
3

⋅ y⎞ ⋅ y =

⎠

3⋅ y

2

1
3

⋅ y⎞

⎠
we find

b=

)

+ cot( α) + 1 = 0

α = 60 deg

⎝2⎠

2

2

(1)

2 ⋅ cos( α)
sin( α)

−2 ⋅ cos( α) = −1

2⋅ y

(

2

− y ⋅ −1 − cot( α)

2

sin( α)
Hence

y

A=

or

sin( α)

2 ⋅ y ⋅ cos( α)
sin( α)

∂y

2

2

A=−

∂

and

A

0=−

A

P=

and so

2
1 ∂
A
− cot ( α ) +
⋅ A −
sin ( α )
y ∂y
2
y

P=

y
Now we optimize A w.r.t. α

− y ⋅ cot ( α )

y

1 ⎞
2
⎛
⋅y =
⋅y
⎜ 3−
3⎠
3
⎝

But the perimeter is

In summary we have

and

P=b+

2⋅ y
sin( α)

= b + 2⋅ y⋅

2
3

=b+

4

⋅ y = b + 2⋅ b = 3⋅ b

3

α = 60 deg

b=

1
3

P−
⋅P

so each of the symmetric sides is

1
3
2

⋅P
=

1
3

⋅P

We have proved that the optimum shape is equal side and bottom lengths, with 60 angles i.e., half a hexagon!

Problem 11.62

Given:

Rectangular channel flow

Find:

Critical depth
1

Solution:
Basic equations:

[Difficulty: 1]

⎛ Q2 ⎞
yc = ⎜
⎜ g⋅ b2
⎝
⎠

3

Q=

1.49

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

For a rectangular channel of width b = 2 ⋅ m and depth y = 1.5⋅ m we find from Table 11.1
2

A = b⋅ y

A = 3.00⋅ m

n = 0.015

Manning's roughness coefficient is

Q=

1.49

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

Rh =

and

1

Hence

⎛ Q2 ⎞
yc = ⎜
⎜ g⋅ b2
⎝
⎠

3

y c = 0.637 m

b⋅ y
b + 2⋅ y

Sb = 0.0005
3

Q = 3.18⋅

m
s

Rh = 0.600 ⋅ m

Problem 11.63

Given:

Data on rectangular channel and weir

Find:

If a hydraulic jump forms upstream of the weir

[Difficulty: 4]

1

Solution:
Q=

Basic equations:

1
n

2

1

3

2

⋅ A⋅ Rh ⋅ Sb

⎛ Q2 ⎞
yc = ⎜
⎜ g⋅ b2
⎝
⎠

3

Note that the Q equation is an "engineering" equation, to be used without units!
For a rectangular channel of width b = 2.45⋅ m and depth y we find from Table 11.1
A = b ⋅ y = 2.45⋅ y

b⋅ y

Rh =

b + 2⋅ y

2.45⋅ y

=

2.45 + 2 ⋅ y

2

Q=

Hence

1
n

3

and also

n = 0.015
2

1

3

⋅ A⋅ Rh ⋅ Sb

2

=

1
0.015

⋅ 2.45⋅ y ⋅ ⎛⎜

2.45⋅ y

y

Q = 5.66⋅

⎞ ⋅ 0.0004 2 = 5.66

⎝ 2.45 + 2⋅ y ⎠

2

( 2.45 + 2 ⋅ y )

5.66⋅ 0.015

=

3

2

2

3

.0004 ⋅ 2.54⋅ 2.54

y

or

1

(Note that we don't use units!)

3
2

( 2.54 + 2 ⋅ y )

= 0.898

3

This is a nonlinear implicit equation for y and must be solved numerically. We can use one of a number of numerical root finding
techniques, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below. We start with the given depth
5

For

y = 1.52

( m)

y

5

3
2

( 2.54 + 2 ⋅ y )

= 0.639

For

y = 2

( m)

3

y

y = 1.95

( m)

y

( 2.54 + 2 ⋅ y )

= 0.908

3

5

3
2

( 2.54 + 2 ⋅ y )

3
2

5

For

= 0.879

For

y = 1.98

3

( m)

y

3
2

( 2.54 + 2 ⋅ y )

= 0.896

3

1

y = 1.98

(m)

This is the normal depth.

s

1

5

3

m

3

5

Solving for y

Sb = 0.0004

and

We also have the critical depth:

⎛ Q2 ⎞
yc = ⎜
⎜ g⋅ b2
⎝
⎠

3

y c = 0.816 m

Hence the given depth is 1.52 m > y c, but 1.52 m < y n, the normal depth. This implies the flow is subcritical (far enough upstream
it is depth 1.98 m), and that it draws down to 1.52 m as it gets close to the wier. There is no jump.

Problem 11.64

Given:

Data on rectangular flume

Find:

Optimum geometry

[Difficulty: 2]

Solution:
Basic equations:

Q

1.49
n

2

1

3

2

 A Rh  Sb

and from Table 11.3, for optimum geometry

b  2 yn

Note that the Q equation is an "engineering" equation, to be used without units!

Available data

ft
Sb  10
mile

Sb  0.00189

A  b yn  2 yn

ft

3

s

n  0.013

For wood (unplaned), a Google seach gives

Hence

Q  40

2

Rh 

A
P



2 y n

2

y n  2 y n  y n



yn
2

2
2

Then

1

3

1

y
1.49
1.49
2  n
3
2
2
Q
 A  Rh  Sb 
 2 y n  
 Sb
n
n
 2
3

Solving for y n

2 

 Q n 2 3 
yn  

1


 4  1.49 Sb 2



5

y n  2.00

(ft)

b  2y n

b  4.01

(ft)

Problem 11.65

[Difficulty: 2]

Given:

Data on rectangular channel

Find:

Expressions valid for critical depth at optimum geometry

Solution:
Basic equations:

Q=

1
n

2

1

3

2

⋅ A⋅ Rh ⋅ Sb

b = 2⋅ yn

and from Table 11.3, for optimum geometry

Note that the Q equation is an "engineering" equation, to be used without units!

Hence

A = b⋅ yn = 2⋅ yn

2

Rh =

A
P

=

2⋅ yn

yn + 2⋅ yn + yn

2
2

Then

1

1

1

3

2

y
1
1
2 ⎛ n⎞
3
2
2
Q = ⋅ A⋅ Rh ⋅ Sb = ⋅ 2 ⋅ y n ⋅ ⎜
⋅ Sb
n
n
⎝2⎠

or

Q=

or

Fr =

2

3

=

8

1

3

2

⋅ y ⋅ Sb
n n

yn
2

We can write the Froude number in terms of Q
V

Fr =

g⋅ y

=

Q
A⋅ g ⋅ y

Q

=

1
2

2⋅ yn ⋅ g⋅ yn

2

Q
5

2⋅ g⋅ yn

2

5

1=

Hence for critical flow, Fr = 1 and y n = y c, so

Q

or
5

2⋅ g⋅ yc

Q = 2⋅ g⋅ yc

5

2

Q = 6.26⋅ y c

2

24.7⋅ n

2

2

To find Sc, equate the expressions for Q and set Sb = Sc
1

Q=

2

3

8

1

3

2

⋅ y ⋅ Sc
n c

4

5

= 2⋅ g⋅ yc

2

or

3

−
2

Sc = 2 ⋅ g ⋅ n ⋅ y c

1
3

Sc =

1

yc

3

Problem 11.66

Given:

Data on trapezoidal canal

Find:

Critical slope

[Difficulty: 3]

Solution:
Q=

Basic equations:

1.49

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

A = y ⋅ b + y ⋅ cot ( α )

and

y ⋅ ( b + y ⋅ cot( α) )

Rh =

b+

2⋅ y
sin( α)

Note that the Q equation is an "engineering" equation, to be used without units!
α = atan⎛⎜

b = 10⋅ ft

Available data

2⎞

α = 63.4⋅ deg

⎝1⎠

Q = 600⋅

ft

3

s

n = 0.015

For brick, a Google search gives
For critical flow

y = yc

Vc =

g⋅ yc

so

Q = A⋅ Vc = y c⋅ b + y c⋅ cot( α) ⋅ g ⋅ y c

(

)

(yc⋅ b + yc⋅ cot( α))⋅

g⋅ yc = Q

Q = 600⋅

with

ft

3

s

This is a nonlinear implicit equation for y c and must be solved numerically. We can use one of a number of numerical root finding
techniques, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below. We start with the given depth

For

yc = 5

( ft)

(yc⋅ b + yc⋅ cot( α))⋅

g ⋅ y c = 666

For

y c = 4.5

( ft)

(yc⋅ b + yc⋅ cot( α))⋅

g ⋅ y c = 569

For

y c = 4.7

( ft)

(yc⋅ b + yc⋅ cot( α))⋅

g ⋅ y c = 607

For

y c = 4.67 ( ft)

(yc⋅ b + yc⋅ cot( α))⋅

g ⋅ y c = 601

Hence

y c = 4.67

(ft)

and

Acrit = 49.0

(ft2)

Rhcrit = 2.818

(ft)

Acrit = y c⋅ b + y c⋅ cot( α)

Rhcrit =

(

y c⋅ b + y c⋅ cot( α)
b+

Solving the basic equation for Sc

Q=

1.49

2⋅ yc

)

sin( α)

2

1

3

2

⋅ A⋅ Rh ⋅ Sb
n

Sbcrit =

n⋅ Q
⎛
⎞
⎜
2
⎜
⎟
3
⎜ 1.49⋅ A ⋅ R
crit hcrit ⎠
⎝

2

Sbcrit = 0.00381

Problem 11.67

Given:

Data on wide channel

Find:

Critical slope

[Difficulty: 2]

Solution:
Basic equations:

Q

1.49
n

2

1

3

2

 A Rh  Sb

A  b y

and

Rh  y

Note that the Q equation is an "engineering" equation, to be used without units!
3

ft

Available data

q  20

s

ft

From Table 11.2

n  0.015

For critical flow

y  yc

Vc 

g yc
2

Q  A Vc  b  y c g  y c

so

Hence

 Q 

 b g 

3

yc 

3
 q 

 g

y c  2.316 (ft)

Solving the basic equation for Sc

Sbcrit 

Q

1.49

Sbcrit 

2

1

3

2

 A Rh  Sb
n

n Q



2


 1.49 b y  y 3
c c 


 n q 

5


 1.49 y 3
c 




1.49

2

1

3

2

 b  y c y c  Sb
n

2

Sbcrit 

 n q 

5


 1.49 y 3
c 


n  0.013

Note from Table 11.2 that a better roughness is

and then

yc 

or

2

2

Sbcrit  0.00185

2

Sbcrit  0.00247

Problem 11.68

Given:

Data on optimum rectangular channel

Find:

Channel width and slope

[Difficulty: 2]

Solution:
Basic equations:

Q

1.49
n

2

1

3

2

 A Rh  Sb

b  2 yn

and from Table 11.3, for optimum geometry

Note that the Q equation is an "engineering" equation, to be used without units!
Available data

Hence

Q  100 

ft

3

n  0.015

s

A  b yn  2 yn

2

Rh 

A
P



(Table 11.2)
2 yn

2

yn  2 yn  yn



yn
2

We can write the Froude number in terms of Q
Fr 

V
g y



Q
A g  y

Q



or
1

2

2 yn  g yn

Fr 

2

Q
5

2 g yn

2

5

1

Hence for critical flow, Fr = 1 and y n = y c, so

yc 

 Q 

 2 g 

or

Q  2 g yc

(ft)

and

5

2 g yc

2

Hence

Q

2

2

5

y c  2.39

b  2 yc

2
2

Then

Hence

1

3

Sc 

Using (from Table 11.2)

n Q



8
1


 1.49 2 3  y 3
c 


1.49

1

1

y
2  c
3
2
2
Q
 A Rh  Sb 
 2 yc  
 Sc
n
n
2
 
1.49

b  4.78

or

Q

1.49 2
n

3

8

1

3

2

 y c  Sc

(ft)

2

Sc  0.00615

n  0.013

Sc 

n Q



8
1


 1.49 2 3  y 3
c 


2

Sc  0.00462

Problem 11.69

Given:

Data on broad-crested wier

Find:

Maximum flow rate/width

Solution:

3

Basic equation:

Q = Cw⋅ b ⋅ H

Available data

H = 1 ⋅ ft

2

P = 8 ⋅ ft − 1 ⋅ ft
3

ft

3

Then

[Difficulty: 1]

Q
b

= q = Cw⋅ H

2

= 3.4⋅

s

ft

P = 7 ⋅ ft

Cw = 3.4

Problem 11.70

Given:

Data on rectangular, sharp-crested weir

Find:

Required weir height

[Difficulty: 3]

Solution:
3

Basic equations:

2
2
Q  Cd   2  g  b' H
3

where

Given data:

b  1.6 m

Q  0.5

Cd  0.62

and

b'  b  0.1 n  H

n  2

with

3

Hence we find

m
s

3

3

2
2
2
2
Q  Cd   2  g  b' H  Cd   2  g  ( b  0.1 n  H)  H
3
3
3

Rearranging

( b  0.1 n  H)  H

2



3 Q
2  2  g Cd

This is a nonlinear implicit equation for H and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below.
5

The right side evaluates to

3 Q
2  2  g Cd

 0.273  m

2

3

For

H  1 m

( b  0.1 n  H)  H

2

5

 1.40 m

2

3

For

H  0.3 m

( b  0.1 n  H)  H

2

H  0.31 m

( b  0.1 n  H)  H

2

 0.253  m

H  0.316  m

But from the figure

( b  0.1 n  H)  H
H  P  2.5 m

2

H  0.5 m

( b  0.1 n  H)  H

2

 0.265  m

2

For

H  0.35 m

( b  0.1 n  H)  H

2

 0.530  m

2

For

H  0.315  m

( b  0.1 n  H)  H

H  0.316 m
P  2.5 m  H

P  2.18 m

2

2

5

 0.317  m

3

5

 0.273  m

2

5

3

5

3

For

For
5

3

For

3

2
5

 0.272  m

2

Problem 11.71

Given:

Data on rectangular, sharp-crested weir

Find:

Discharge

[Difficulty: 1]

Solution:
3

Basic equation:

Q  Cw b  H

2

where

Cw  3.33 and

b  8  ft

Note that this is an "engineering" equation, to be used without units!
3

Q  Cw b  H

2

Q  26.6

ft

3

s

P  2  ft

H  1  ft

Problem 11.72

Given:

Data on rectangular, sharp-crested weir

Find:

Required weir height

[Difficulty: 3]

Solution:
3

Basic equations:

2
2
Q  Cd   2  g  b' H
3

where

Given data:

b  1.5 m

Q  0.5

Cd  0.62 and

b'  b  0.1 n  H

with

n  2

3

Hence we find

m
s

3

3

2
2
2
2
Q  Cd   2  g  b' H  Cd   2  g  ( b  0.1 n  H)  H
3
3
3

Rearranging

( b  0.1 n  H)  H

2



3 Q
2  2  g Cd

This is a nonlinear implicit equation for H and must be solved numerically. We can use one of a number of numerical root finding
techniques, such as Newton's method, or we can use Excel's Solver or Goal Seek, or we can manually iterate, as below.
5

The right side evaluates to

For

H  1 m

3 Q
2  2  g Cd

 0.273  m

( b  0.1 n  H)  H

2

3
2

5

 1.30 m

2

3

For

H  0.3 m

( b  0.1 n  H)  H

2

H  0.34 m

( b  0.1 n  H)  H

2

 0.237  m

H  0.331  m

But from the figure

( b  0.1 n  H)  H
H  P  2.5 m

2

H  0.5 m

( b  0.1 n  H)  H

2

 0.284  m

2

For

H  0.35 m

( b  0.1 n  H)  H

2

 0.495  m

2

For

H  0.33 m

( b  0.1 n  H)  H

H  0.331 m
P  2.5 m  H

P  2.17 m

2

2

5

 0.296  m

3

5

 0.273  m

2

5

3

5

3

For

For
5

3

For

3

2
5

 0.272  m

2

Problem 11.73

Given:

Data on V-notch weir

Find:

Flow head

[Difficulty: 1]

Solution:
5

Basic equation:

8
θ
2
Q = Cd ⋅ ⋅ 2⋅ g ⋅ tan ⎛⎜ ⎞ ⋅ H
15
⎝2⎠

where

Cd = 0.58

2

H =

5
Q
⎛
⎞
⎜
θ
8
⎜ Cd ⋅ ⋅ 2⋅ g ⋅ tan ⎛⎜ ⎞
15
⎝
⎝2⎠⎠

H = 0.514m

θ = 60⋅ deg

Q = 150⋅

L
s

Problem 11.74

Given:

Data on V-notch weir

Find:

Discharge

[Difficulty: 1]

Solution:
5

Basic equation:

Q  Cw H

2

where

H  1.5 ft

Cw  2.50

Note that this is an "engineering" equation in which we ignore units!
5

Q  Cw H

2

Q  6.89

ft

3

s

for

θ  90 deg

Problem 11.75

Given:

Data on V-notch weir

Find:

Weir coefficient

[Difficulty: 1]

Solution:
5

Basic equation:

Q  Cw H

2

where

H  180  mm

Note that this is an "engineering" equation in which we ignore units!
Cw 

Q
5

H

2

Cw  1.45

Q  20

L
s

Problem 12.1

Given:

Air flow through a filter

Find:

Change in p, T and ρ

[Difficulty: 2]

Solution:
Basic equations:



h 2  h 1  c p  T2  T1



p  ρ R T

Assumptions: 1) Ideal gas 2) Throttling process
In a throttling process enthalpy is constant. Hence

h2  h1  0

s
o

T2  T1  0

or

T  constant

The filter acts as a resistance through which there is a pressure drop (otherwise there would be no flow. Hence p 2  p 1
From the ideal gas equation

p1
p2



ρ1  T1
ρ2  T2

The governing equation for entropy is

Hence

 p2 

 p1 

∆s  R ln

so

 T1   p 2 
 p2 
ρ2  ρ1  
    ρ1   

 T2   p 1 
 p1 
 T2 
 p2 
∆s  cp  ln
 R ln 

 T1 
 p1 
p2
and
1
p1

Entropy increases because throttling is an irreversible adiabatic process

Hence

ρ2  ρ1

so

∆s  0

Problem 12.2

[Difficulty: 2]

Problem 12.3

Given:

Data on an air compressor

Find:

Whether or not the vendor claim is feasible

[Difficulty: 2]

Solution:
Basic equation:

 T2 
 p2 
∆s  cp  ln
 R ln 

 T1 
 p1 

The data provided, or available in the Appendices, is:
p 1  14.7 psi

T1  ( 50  460 )  R

p 2  ( 150  14.7)  psi

T2  ( 200  460 )  R

Then

BTU
lb R

 T2 
 p2 
 Rgas ln 
∆s  cp  ln

 T1 
 p1 

Rgas  53.33 

∆s  0.1037

ft lbf
lb R

 0.0685

or for all real processes

∆s  0

lb R

lb R

We have plotted the actual process in red (1-2) on this temperature-entropy
diagram, and the ideal compression (isentropic) in blue (1-2s). The line of constant
pressure equal to 150 psig is shown in green. However, can this process actually
occur? The second law of thermodynamics states that, for an adiabatic process
∆s  0

BTU

BTU

2s

Temperature T

cp  0.2399

2

1

Hence the process is NOT feasible!

Entropy s

Problem 12.4

Given:

Data on turbine inlet and exhaust

Find:

Whether or not the vendor claim is feasible

[Difficulty: 2]

Solution:
Basic equation:

 T2 
 p2 
∆s  cp  ln
 R ln 

 T1 
 p1 

The data provided, or available in the Appendices, is:
T1  ( 2200  460 )  R

T1  1.478  10 K

p 2  1  atm  14.696 psi

T2  ( 850  460 )  R

T2  727.778 K

BTU

Rgas  53.33 

lb R

 T2 
 p2 
∆s  cp  ln
 Rgas ln 

 T1 
 p1 

∆s  0.0121

An example of this type of process is plotted in green on the graph.
Also plotted are an isentropic process (blue - 1-2s) and one with an
increase in entropy (red: 1-2i). All three processes expand to the same
pressure. The constant pressure curve is drawn in purple.The second
law of thermodynamics states that, for an adiabatic process
∆s  0

or for all real processes

∆s  0

ft lbf
lb R

 0.0685

BTU
lb R

BTU
lb R
1

Temperature T

cp  0.2399

Then

3

p 1  10 atm  146.959  psi

2i
2

2s

Hence the process is NOT feasible!

Entropy s

Problem 12.5

Given:

Air before and after expansion; process

Find:

Final temperature and change in entropy

[Difficulty: 2]

Solution:
Basic equations:

 T2 
 p2 
∆s  cp  ln
 R ln 

 T1 
 p1 

p  V  m R T

The data provided, or available in the Appendices, is:
p 1  50 psi

T1  660  R

p 2  1  atm  14.696 psi
cp  0.2399

From the process given:

p 1  V1

Btu

Rgas  53.33 

lb R
1.3

 p 2  V2

1.3

ft lbf
lb R

 0.0685

From the ideal gas equation of state:

Btu
lb R
p 2  V2
p 1  V1



T2

V1

T1

V2



p 2 T1

p 1 T2
1

p2

When we combine these two equations we get:

p1
1

So the final temperature is:

Then

 p1 
T2  T1   
 p2 



 V1 
V 
 2

1.3

 p 2 T1 
 

 p 1 T2 

1

1.3

 T2 
 p2 
∆s  cp  ln
 Rgas ln 

 T1 
 p1 

T2  497.5  R

∆s  0.0161

Btu
lb R

1.3

Solving for temperature ratio:

T1
T2



 p2 
p 
 1

1.3

1

Problem 12.6

Given:

Adiabatic air compressor

Find:

Lowest delivery temperature; Sketch the process on a Ts diagram

[Difficulty: 2]

Solution:
Basic equation:

 T2 
 p2 
∆s  cp  ln
 R ln 

 T1 
 p1 

1 k

The lowest temperature implies an ideal (reversible) process; it is also adiabatic, so Δs = 0, and

The data provided, or available in the Appendices, is:

p 1  101  kPa p 2  ( 500  101 )  kPa

1 k

Hence

 p1 
T2  T1   
 p2 

Temperature T

T2  864  R
p2

2
The process is

k

p1
1

Entropy s

 p1 
T2  T1   
 p2 
T1  288.2  K

k

k  1.4

Problem 12.7

Given:

Data on turbine inlet and exhaust

Find:

Whether or not the vendor claim is feasible

[Difficulty: 2]

k 1

Solution:
Basic equations:

 T2 
 p2 
∆s  cp  ln
 R ln 

 T1 
 p1 
η

h1  h2
h 1  h 2s



 p2 
 
T1
 p2 
T2

∆h  cp  ∆T

k

when s = constant

T1  T2
T1  T2s

The data provided, or available in the Appendices, is:
3

p 1  10 bar  1  10  kPa

T1  1400 K

η  80 %

P  1  MW

p 2  1  bar  100  kPa
cp  1004

J
kg K

Rgas  287 

J
kg K

k  1.4
k 1

 p2 
If the expansion were isentropic, the exit temperature would be: T2s  T1   
 p1 
Since the turbine is not isentropic, the final temperature is higher:

Then





kJ
∆h  cp  T1  T2  542.058 
kg

k

 725.126 K





T2  T1  η T1  T2s  860.101 K

 T2 
 p2 
∆s  cp  ln
 Rgas ln 

 T1 
 p1 

The mass flow rate is:

∆s  171.7157

m 

P
∆h

J
kg K

 1.845

kg
s

Problem 12.8

Given:

Test chamber with two chambers

Find:

Pressure and temperature after expansion

[Difficulty: 2]

Solution:
Basic equation:

p  ρ R T

∆u  q  w

(First law - closed system)

∆u  cv  ∆T

∆u  0

or for an Ideal gas

Vol 2  2  Vol 1

so

1
ρ2   ρ1
2

so

p2 

Assumptions: 1) Ideal gas 2) Adiabatic 3) No work
For no work and adiabatic the first law becomes
We also have

From the ideal gas equation

M  ρ Vol  const
p2
p1

Hence

Note that



and

ρ2 T2
1


ρ1 T1
2

T2  20 °F

p2 

200  kPa
2

 T2 
 p2 
1
∆s  cp  ln
 R ln   R ln   0.693  R

2
 T1 
 p1 

∆T  0

T2  T1

1
2

 p1

p 2  100  kPa

so entropy increases (irreversible adiabatic)

Problem 12.9

[Difficulty: 2]

Given:

Supercharger

Find:

Pressure, temperature and flow rate at exit; power drawn

Solution:
Basic equation:

 T2 
 p2 
∆s  cp  ln   R ln 
 T1 
 p1 

p  ρ Rair T
∆h  q  w

∆h  cp  ∆T

(First law - open system)

Assumptions: 1) Ideal gas 2) Adiabatic
In an ideal process (reversible and adiabatic) the first law becomes

∆h  w

or for an ideal gas

wideal  cp  ∆T

k 1

For an isentropic process

 T2 
 p2 
∆s  0  cp  ln
 R ln 

 T1 
 p1 

The given or available data is T1  ( 70  460 )  R
ft

 p2 
 
T1
 p1 
T2

or
p 1  14.7 psi

p 2  ( 200  14.7)  psi

k  1.4

cp  0.2399

T2  1140 R

T2  681  °F

p 2  215  psi

ρ1
Q2  Q1 
ρ2

p 1 T2
Q2  Q1  
p 2 T1

ft
Q2  0.0737
s

3

Q1  0.5
s

k

Btu
lbm R

η  70 %
Rair  53.33 

ft lbf
lbm R

k 1

Hence

 p2 
T2   
 p1 

k

 T1

We also have

mrate  ρ1  Q1  ρ2  Q2

For the power we use

Pideal  mrate wideal  ρ1  Q1  cp  ∆ T

p1
From the ideal gas equation ρ1 
Rair T1
Hence

ρ1  0.00233 

ft



Pideal  ρ1  Q1  cp  T2  T1

The actual power needed is Pactual 

Pideal
η

slug



or

3

3

ρ1  0.0749

lbm
ft

Pideal  5.78 kW
Pactual  8.26 kW

A supercharger is a pump that forces air into an engine, but generally refers to a pump that is driven directly by
the engine, as opposed to a turbocharger that is driven by the pressure of the exhaust gases.

3

Problem 12.10

[Difficulty: 2]

Given:

Cooling of air in a tank

Find:

Change in entropy, internal energy, and enthalpy

Solution:
Basic equation:

p  ρ R T

 T2 
 p2 
∆s  cp  ln   R ln 
 T1 
 p1 

∆u  cv  ∆T

∆h  cp  ∆T

Assumptions: 1) Ideal gas 2) Constant specific heats
Given or available data M  5 kg

T1  ( 250  273)  K

cp  1004

J

cv  717.4

kg K

For a constant volume process the ideal gas equation gives

J

p2



T2

p2 

T1

 T2 
 p2 
∆s  cp  ln   R ln 
 T1 
 p1 

∆s  346

∆u  cv  T2  T1

cp

k  1.4

cv
T2

p 1  3 MPa

p
T1 1

R  cp  cv

R  287

p 2  1.85 MPa

J
kg K





∆u  143

∆h  cp  T2  T1





∆h  201

∆S  M  ∆s

∆S  1729

∆U  M  ∆u

∆U  717 kJ

∆H  M  ∆h

∆H  1004 kJ

kJ
kg
kJ
kg
J
K
Here is a plot of the T-s diagram:

T-s Diagram for Constant Volume Cooling
750

1
T (K)

Total amounts are

k 

kg K

p1
Then

T2  ( 50  273)  K

500

250

0
-400

2

-350

-300

-250

-200
Δs (J/kg.K)

-150

-100

-50

0

J
kg K

Problem 12.11

[Difficulty: 3]

Given:

Air in a piston-cylinder

Find:

Heat to raise temperature to 1200oC at a) constant pressure and b) constant volume

Solution:
The data provided, or available in the Appendices, is:
T1  ( 100  273 )  K

T2  ( 1200  273 )  K

a) For a constant pressure process we start with
Hence, for p = const.

R  287 

J
kg K

J
kg K

cv  cp  R

cv  717 

J
kg K

T ds  dh  v  dp
ds 

dh
T

dT
 cp 
T

But

δq  T ds

Hence

δq  cp  dT

b) For a constant volume process we start

cp  1004


q   c p dT



q  c p  T2  T1


q   c v dT



q  c v  T2  T1





q  1104





q  789

kJ
kg

T ds  du  p  dv
du

dT
 cv 
T
T

Hence, for v = const.

ds 

But

δq  T ds

Hence

δq  cv  dT

Heating to a higher temperature at constant pressure requires more heat than at constant volume: some of the
heat is used to do work in expanding the gas; hence for constant pressure less of the heat is available for
raising the temperature.
Constant volume: q  ∆u
From the first law:
Constant pressure:
q  ∆u  w
The two processes can be plotted using Eqs. 11.11b and 11.11a, simplified for the case of constant pressure
and constant volume.

a) For constant pressure

 T2 
 p2 
s2  s1  cp  ln   R ln 
 T1 
 p1 

so

 T2 
∆s  cp  ln 
 T1 

b) For constant volume

 T2 
 v2 
s2  s1  cv  ln   R ln 
 T1 
 v1 

so

 T2 
∆s  cv  ln 
 T1 

The processes are plotted in Excel and shown on the next page

kJ
kg

T-s Diagram for Constant Pressure and Constant Volume
Processes

1500

T (K)

1250
1000
750
500

a) Constant Pressure
250

b) Constant Volume

0
0

250

500

750
Δs (J/kg.K)

1000

1250

1500

Problem 12.12

Given:

Data on Otto cycle

Find:

Plot of pV and Ts diagrams; efficiency

[Difficulty: 4]

Solution:
The data provided, or available in the Appendices, is:
cp  1004

J
kg K

p 1  100  kPa

R  287 

J
kg K

T1  ( 20  273 )  K

J

cv  cp  R

cv  717 

T3  ( 2750  273 )  K

V1  500  cc

k 

kg K

cp
cv

V1
V2 
8.5

k  1.4
V2  58.8 cc

V4  V1
Computed results:

M 

For process 1-2 we have isentropic behavior

T v

Hence

 V1 
T2  T1  

 V2 

R  T1

k 1

 V1 
p2  p1 

 V2 

kg

(12.12 a and 12.12b)
k

p 2  2002 kPa

k

  V2
p 1  V1  p 2  V2 


p ( V) dV 
W12  


k

1
 V1


T3
p3  p2
T2

p  v  constant

T2  690 K

V3  V2

4

k

 constant

 V1 
p ( V)  p 1  

V

For process 2 - 3 we have constant volume

Hence

M  5.95  10

k 1

The process from 1 -2 is

The work is

p 1  V1

and

s  constant

W12  169 J

V3  58.8 cc
p 3  8770 kPa

Q12  0  J

(Isentropic)

V  V2  constant

The process from 2 -3 is

and

T 
∆s  cv  ln

 T2 

W23  0  J

(From 12.11a)

Q23  M  ∆u  M   cv dT





Q23  M  cv  T3  T2



Q23  995 J

For process 3 - 4 we again have isentropic behavior

Hence

 V3 
T4  T3  

 V4 

k 1

 V3 
p4  p3 

 V4 

T4  1284 K

The process from 3 - 4 is

 V3 
p ( V)  p 3  

V

The work is

W34 

k

p 4  438  kPa

k

and

p 3  V3  p 4  V4
k1

s  constant

W34  742 J

Q34  0  J

T 
∆s  cv  ln

 T4 

W41  0  J

For process 4-1 we again have constant volume
The process from 4 -1 is

V  V4  constant

and

(From 12.11a)



Q41  M  cv  T1  T4



The net work is

Wnet  W12  W23  W34  W41

The efficiency is

η 

Wnet
Q23

This is consistent with the expression for the Otto efficiency

Q41  422 J
Wnet  572 J

η  57.5 %
ηOtto  1 

1
k 1

r
where r is the compression ratio

r 

V1
V2

r  8.5

ηOtto  57.5 %
Plots of the cycle in pV and Ts space, generated using Excel, are shown on the next page.

p - V Diagram for Otto Cycle
10000

p (kPa)

8000
6000
4000
2000
0
0

100

200

300

400

500

1000

1250

V (cc)

T - s Diagram for Otto Cycle
3500

T (K)

3000
2500
2000
1500
1000
500
0
0

250

500

750
s (J/kg.K)

Problem 12.13

Given:

Data on diesel cycle

Find:

Plot of pV and Ts diagrams; efficiency

[Difficulty: 4]

Solution:
The data provided, or available in the Appendices, is:
cp  1004

J
kg K

R  287 

J

cv  cp  R

kg K

kg K

k 

cp

T1  ( 20  273 )  K

T3  ( 3000  273 )  K

V1  500  cc

V1
V2 
12.5

V2  40 cc

V4  1.75 V3

V4  70 cc

M 

V3  V2

p 1  V1

M  5.95  10

R  T1
T v

For process 1-2 we have isentropic behavior

 V1 
T2  T1  

 V2 

k 1

 V1 
p2  p1 

 V2 

T2  805 K

V5  V1
4

k

 constant (12.12a)

k 1

k  1.4

cv

p 1  100  kPa

Computed results:

Hence

J

cv  717 

p  v  constant

kg

(12.12c)

k

p 2  3435 kPa

k

The process from 1 -2 is

 V1 
p ( V)  p 1  

V

The work is

p 1  V1  p 2  V2
 2
p ( V) dV 
W12  
k1
V

and

s  constant

V

1

For process 2 - 3 we have constant volume

Hence

T3
p3  p2
T2

V3  V2

V3  40 cc
p 3  13963  kPa

W12  218 J

Q12  0  J
(Isentropic)

The process from 2 -3 is

V  V2  constant

T 
∆s  cv  ln

 T2 

and

W23  0  J

(From Eq. 12.11a)

Q23  M  ∆u  M   cv dT


p4  p3

For process 3 - 4 we have constant pressure

The process from 3 - 4 is

p  p 3  constant



Q23  M  cv  T3  T2



Q23  1052 J

p 4  13963  kPa

 V4 
T4  T3  

 V3 

and

T 
∆s  cp  ln
T3 
 

T4  5728 K

(From Eq. 12.11b)



W34  p 3  V4  V3





W34  419 J

 V4 
T5  T4  

 V5 

For process 4 - 5 we again have isentropic behavior

Q34  M  cp  T4  T3



Q34  1465 J

k 1

T5  2607 K

k

Hence

 V4 
p5  p4 

 V5 

The process from 4 - 5 is

 V4 
p ( V)  p 4  

V

The work is

W45 

p 5  890  kPa

k

and

p 4  V4  p 5  V5

s  constant

W45  1330 J

k1

Q45  0  J

For process 5-1 we again have constant volume
The process from 5 -1 is

V  V5  constant

and

T 
∆s  cv  ln

 T5 
(From Eq. 12.11a)



Q51  M  cv  T1  T5



Q51  987 J

The net work is

Wnet  W12  W23  W34  W45  W51

The heat added is

Qadded  Q23  Q34

The efficiency is

η 

Wnet
Qadded

Qadded  2517 J

η  60.8 %

W51  0  J

Wnet  1531 J

This is consistent with the expression from thermodynamics for the diesel efficiency

 r k1 
 c

ηdiesel  1 

k 1  k   rc  1  


r
1

where r is the compression ratio

r 

V1
V2
V4

rc 
V3

and rc is the cutoff ratio

r  12.5
rc  1.75
ηdiesel  58.8 %

The plots of the cycle in pV and Ts space, generated using Excel, are shown here:

p - V Diagram for Diesel Cycle
16000

p (kPa)

14000
12000
10000
8000
6000
4000
2000
0
0

100

200

300

400

500

V (cc)

T - s Diagram for Diesel Cycle
7000

T (K)

6000
5000
4000
3000
2000
1000
0
0

500

1000
s (J/kg.K)

1500

2000

Problem 12.14

[Difficulty: 3]

Given:

Air is compressed from standard conditions to fill a tank

Find:

(a) Final temperature of air if tank is filled adiabatically and reversibly
(b) Heat lost if tank is filled isothermally
(c) Which process results in a greater mass of air in the tank

Solution:
The data provided, or available in the Appendices, is:
cp  1004

J
kg K

3

V  1 m

R  287 

J

cv  cp  R

kg K

p 1  0.1 MPa

cv  717

T1  ( 20  273)  K

J
kg K

k 

cp

k  1.4

cv

p 2  2 MPa
k 1

 p2 
T2s  T1  
 p1 

Adiabatic, reversible process is isentropic:

For the isothermal process, we look at the first law:



The work is equal to: w   p dv  



v2

From Boyle's law: p 1  v 1  p 2  v 2

w  252 

kJ
kg

v1

R  T1
v

k

T2s  689.9 K

∆u  q  w  cv  ∆T

1



p1

substituting this into the above equation:

p2
kJ

R T2s

(The negative sign indicates heat loss)

p  V  M R T

M 

p2 V
R  T1

 23.8 kg

3

Q  5.99  10  kJ

The mass in the tank after compression isothermally is:
p2 V

 p1 
w  R T1 ln 
 p2 

kg

Q  M q

M 

qw

v

The mass of the air can be calculated from the ideal gas equation of state:

For the isentropic compression:

∆u  0 and

 2 1
 v2 
dv  R T1 
dv  R T1 ln 
v

 v1 
v

Therefore the heat transfer is q  w  252

So the actual heat loss is equal to:

but ΔT = 0 so:

 10.1 kg

M t  23.8 kg
Therefore the isothermal compression results in
more mass in the tank.

Problem 12.15

[Difficulty: 3]

Problem 12.16

[Difficulty: 2]

Problem 12.17

[Difficulty: 3]

Problem 12.18

[Difficulty: 3]

Given:

Data on flow through compressor

Find:

Efficiency at which power required is 30 MW; plot required efficiency and exit temperature as functions of efficiency

Solution:
The data provided, or available in the Appendices, is:
R  518.3 

J
kg K

cp  2190

J

cv  cp  R

kg K

cv  1672

J

k 

kg K

T1  ( 13  273 )  K

p 1  0.5 MPa  101  kPa

m
V1  32
s

p 2  8  MPa  101  kPa

Wcomp  30 MW

D  0.6 m

cp
cv

k  1.31

The governing equation is the first law of thermodynamics for the compressor
2
2

V2  
V1 
M flow  h 2 
   h  2   Wcomp
2   1



2
2
V2  V1 

Wcomp  M flow cp   T2  T1  

2



or

We need to find the mass flow rate and the temperature and velocity at the exit
p1 π 2
M flow  ρ1  A1  V1 
  D  V1
R  T1 4
The exit velocity is then given by

M flow 

p2
R  T2

M flow 



π

p1
R  T1



π

2

 D  V1
4

2

 D  V2
4

V2 

M flow  36.7

kg
s

4  M flow R T2

(1)

2

π p 2  D

The exit velocity cannot be computed until the exit temperature is determined!

Using Eq. 1 in the first law




Wcomp  M flow cp   T2  T1  


2
 4  Mflow R T2 


  V12
 π p  D2 

2



2


In this complicated expression the only unknown is T2, the exit temperature. The equation is a quadratic, so
is solvable explicitly for T2, but instead we use Excel's Goal Seek to find the solution (the second solution
is mathematically correct but physically unrealistic - a very large negative absolute temperature). The exit
temperature is

T2  660  K

1 k

If the compressor was ideal (isentropic), the exit temperature would be given by

T p

k

 constant

(12.12b)

1 k

Hence

k

 p1 
T2s  T1   
 p2 

T2s  529 K

For a compressor efficiency η, we have

η

h 2s  h 1

η 

or

h2  h1

with

V2 

η  65.1 %

T2  T1

T2  T1 

To plot the exit temperature and power as a function of efficiency we use

4  M flow R T2

T2s  T1

T2s  T1
η

2
2

V2  V1 
Wcomp  M flow cp   T2  T1  

2



and

2

π p 2  D

The dependencies of T2 and Wcomp on efficiency are plotted in Excel and shown here:

Required Compressor Power
as a Function of Efficiency

140

W comp (MW)

120
100
80
60
40
20
0
0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

80%

90%

100%

η

Gas Exit Temperature
as a Function of Efficiency

2500

T (K)

2000
1500
1000
500
0
0%

10%

20%

30%

40%

50%

η

60%

70%

100%

Problem 12.19

[Difficulty: 3]

Given:

Data on performance degradation of turbine

Find:

Time necessary for power output to drop to 950 kW

Solution:
The data provided, or available in the Appendices, is:
3

p 1  10 bar  1  10  kPa

T1  1400 K

ηinitial  80 %

p 2  1  bar  100  kPa
cp  1004

J
kg K

Pinitial  1  MW
Pfinal  950  kW

Rgas  287

J
kg K

If the turbine expansion were isentropic, the actual output would be:

So when the power output drops to 950 kW, the new efficiency is:
Since the efficiency drops by 1% per year, the time elapsed is:

k  1.4
Pinitial
Pideal 
 1.25 MW
ηinitial

ηfinal 

Pfinal
Pideal

∆t  4 yr

 76 %

Problem 12.20

[Difficulty: 4]

Problem 12.21

Given:

Data on flow rate and balloon properties

Find:

"Volumetric ratio" over time

[Difficulty: 3]

Solution:
The given or available data are:

Rair  53.3

ft lbf

Tatm  519  R

lbm R

p atm  14.7 psi

Standard air density

p atm
lbm
ρair 
 0.0765
Rair Tatm
3
ft

Mass flow rate

M rate  Vrate ρair  1.275  10

From a force balance on each hemisphere

p  patm π r2  σ 2 π r

Hence

p  p atm 

2 σ

The instantaneous volume is

4
3
Vball   π r
3

The instantaneous mass is

M ball  Vball  ρ

The time to fill to radius r from r = 5 in is

t

s
2

or

p  p atm  8  π k  r

Rair Tair

M ball ( r)  M ball ( r  5in)
M rate

∆V  Vball ( t  ∆t)  Vball ( t)

The results, calculated using Excel, are shown on the next page:

 4 lbm

σ  k  A  k  4  π r

p

ρ

3

where

r

Density in balloon

3

lbf
ft

Basic equation:

The volume change between time steps t is

k  200 

ft
Vrate  0.1
min

r (in)

p (psi)

ρ (lb/ft3 )

V ball (ft )

M ball (lb)

t (s)

ΔV/V rate

5.00
5.25
5.50
5.75
6.00
6.25
6.50
6.75
7.00

29.2
30.0
30.7
31.4
32.2
32.9
33.6
34.3
35.1

0.152
0.156
0.160
0.164
0.167
0.171
0.175
0.179
0.183

0.303
0.351
0.403
0.461
0.524
0.592
0.666
0.746
0.831

0.0461
0.0547
0.0645
0.0754
0.0876
0.101
0.116
0.133
0.152

0.00
67.4
144
229
325
433
551
683
828

0.00
42.5%
41.3%
40.2%
39.2%
38.2%
37.3%
36.4%
35.5%

3

Volume Increase of Balloon
as Percentage of Supplied Volume

44%

ΔV/V flow

42%
40%
38%
36%
34%
0

250

500
t (s)

750

1000

Problem 12.22

[Difficulty: 3]

Given:

Sound wave

Find:

Estimate of change in density, temperature, and velocity after sound wave passes

Solution:
Basic equation:

p  ρ R T

 T2 
 p2 
∆s  cp  ln
 R ln 

 T1 
 p1 

du  cv  dT

dh  cp  dT

Assumptions: 1) Ideal gas 2) Constant specific heats 3) Isentropic process 4) infinitesimal changes
Given or available data
T1  ( 20  273 )  K
c 

k  R  T1

For small changes, from Section 11-2

p 1  100  kPa
c  343

dp  20 Pa

The air density is ρ1 
R  T1
Then

dVx 

1
ρ1  c

2

dp  c  dρ
ρ1  1.19

so

dρ 

dp

dρ  1.70  10

2

 4 kg



Dividing by the ideal gas equation we find

m

kg
3

m

dVx  0.049

dp
p

dp
dρ 
dT  T1  


 p 1 ρ1 



dρ
ρ

kg K

a very small change!

3

m
 dp

J

s

This is the velocity of the air after the sound wave!

s

For the change in temperature we start with the ideal gas equation p  ρ R T

Hence

R  286.9

m

c
p1

k  1.4



and differentiate dp  dρ R T  ρ R dT

dT
T

dT  0.017 K

dT  0.030  ∆°F

a very small change!

Problem 12.23

Given:

Five different gases at specified temperature

Find:

Sound speeds for each gas at that temperature

Solution:

Basic equation: c 

k R T

The data provided, or available in the Appendices, is:
k H2  1.41

[Difficulty: 3]

RH2  4124

J
kg K

J
k CH4  1.31 RCH4  518.3 
kg K

T  ( 20  273 )  K
J

k He  1.66

RHe  2077

k N2  1.40

RN2  296.8 

kg K
J
kg K

J
k CO2  1.29 RCO2  188.9 
kg K
cH2 

k H2 RH2 T

cH2  1305

m

cHe 

k He RHe T

cHe  1005

m

cCH4 

cN2 
cCO2 

k CH4  RCH4  T

k N2 RN2 T
k CO2  RCO2  T

s

s

cCH4  446

cN2  349

m
s

m
s

cCO2  267

m
s

Problem 12.24

[Difficulty: 3]

Given:

Sound wave

Find:

Estimate of change in density, temperature, and velocity after sound wave passes

Solution:
Basic
equations:

p  ρ R T

Ev 

dp
dρ
ρ

Assumptions: 1) Ideal gas 2) Constant specific heats 3) Infinitesimal changes
dp

To find the bulk modulus we need

in

dρ

Ev 

dp
dρ

 ρ

dp
dρ

ρ

p

For rapid compression (isentropic)

k

 const

and so

ρ
Hence

Ev  ρ  k 

p


 ρ

dp
dρ

 k

p
ρ

Ev  k  p

For gradual compression (isothermal) we can use the ideal gas equation
Hence

Ev  ρ ( R T)  p

p  ρ R T

so

dp  dρ R T

Ev  p

We conclude that the "stiffness" (Ev) of air is equal to kp when rapidly compressed and p when gradually compressed. To give an
idea of values:
For water

Ev  2.24 GPa

For air ( k  1.4) at p  101  kPa

Rapid compression

Ev  k  p

Gradual compression Ev  p

Ev  141  kPa
Ev  101  kPa

Problem 12.25

Given:

Device for determining bulk modulus

Find:

Time delay; Bulk modulus of new material

[Difficulty: 2]

Solution:
Basic equation:

Hence for given data

c

Ev
ρ

Ev  200 

GN
2

L  1 m

and for steel

SG  7.83

kg
ρw  1000
3
m

Δt  0.198  ms

Δt  198  μs

m
For the steel

c 

Ev
SG  ρw

Δt 

Hence the time to travel distance L is
For the unknown material

M  0.25 kg

The density is then

ρ 

M
2

L
The speed of sound in it is

Hence th bulk modulus is

c 

c  5054

s
4

L

Δt  1.98  10

c

D  1  cm
ρ  3183

π D

Δt  0.5 ms

kg
3

m

4

L

c  2000

Δt

Ev  ρ c

m

2

m
s

Ev  12.7

GN
2

m

s

Problem 12.26

Given:

Hunting dolphin

Find:

Time delay before it hears prey at 1/2 mile

[Difficulty: 2]

Solution:
Basic equation:

Given (and Table A.2) data

c

Ev
ρ
3

L  0.5 mi  2.64  10  ft

SG  1.025

5

Ev  3.20  10  psi

ρw  1.94

slug
ft

For the seawater

c 

Ev
SG  ρw

Hence the time for sound to travel distance L is

c  4814
∆t 

L
c

ft
s
∆t  0.548  s

∆t  548  ms

3

Problem 12.27

Given:

Submarine sonar

Find:

Separation between submarines

[Difficulty: 2]

Solution:
Basic equation:

Given (and Table A.2) data

c

Ev
ρ

∆t  3.25 s

SG  1.025

Ev  2.42

GN
2

m
For the seawater

c 

Ev
SG  ρw

c  1537

Hence the distance sound travels in time Δt is

L  c ∆t

The distance between submarines is half of this

x 

L
2

m
s
L  5  km
x  2.5 km

kg
ρw  1000
3
m

Problem 12.28

Given:

Airplane cruising at two different elevations

Find:

Mach numbers

[Difficulty: 1]

Solution:
Basic equation:

c

k R T

M
J

Available data

R  286.9

At

z  1500 m

Hence

c 

kg K

k  R T

Repeating at

z  15000  m

Hence

c 

The Mach number is

k  R T

c

k  1.4

T  278.4  K
c  334
M 

The Mach number is

V

from Table A.3

m
s

V

c  1204

km

and we have

hr

V  550 

km
hr

M  0.457

c

T  216.7  K
c  295
M 

V
c

m
s

c  1062
M  1.13

km
hr

and we have

V  1200

km
hr

Problem 12.29

[Difficulty: 2]

Given:

Scramjet-powered missile traveling at fixed Mach number and altitude

Find:

Time necessary to cover specified range

Solution:
Basic equation:

c

k R T

M
J

Available data

R  286.9

At

z  85000  ft

kg K

V
c

k  1.4

M  7

6

∆x  600  nmi  3.65  10  ft

z  25908 m interpolating from Table A.3 T  220.6  K  ( 222.5  K  220.6  K) 

25908  24000
26000  24000

T  222 K
Hence

c 

k  R T

The time needed to cover the range is:

c  299

m

∆t 

∆x

s

V

c  981 
 531 s

ft

and we have

s

∆t  8.85 min

V  M  c  6864

ft
s

This is about ten times as fast as the Tomahawk!

Problem 12.30

[Difficulty: 1]

Problem 12.31

[Difficulty: 1]

Problem 12.32

Given:

Airplane cruising at 550 mph

Find:

Mach number versus altitude

[Difficulty: 2]

Solution:
c

k R T

M

V

Here are the results, generated using Excel:

c

V = 500 mph
R = 286.90 J/kg-K
k = 1.40

(Table A.6)

Data on temperature versus height obtained from Table A.3
z (m)

T (K)

0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
6000
7000
8000
9000
10000

288.2
284.9
281.7
278.4
275.2
271.9
268.7
265.4
262.2
258.9
255.7
249.2
242.7
236.2
229.7
223.3

c (m/s) c (mph)
340
338
336
334
332
330
329
326
325
322
320
316
312
308
304
299

661
658
654
650
646
642
639
635
631
627
623
615
607
599
590
582

M
0.756
0.760
0.765
0.769
0.774
0.778
0.783
0.788
0.793
0.798
0.803
0.813
0.824
0.835
0.847
0.859

Mach Number versus Elevation
0.90

0.85

M

Basic equation:

0.80

0.75

0.70
0

1000

2000

3000

4000

5000

z (m)

6000

7000

8000

9000

10000

Problem 12.33

Given:

Fireworks displays!

Find:

How long after seeing them do you hear them?

[Difficulty: 2]

Solution:
Basic equation:

c

k R T

Assumption: Speed of light is essentially infinite (compared to speed of sound)

The given or available data is

TJuly  ( 75  460 )  R

L  1  mi

Hence

cJuly 

cJuly  1134

Then the time is

∆tJuly 

k  Rair TJuly
L
cJuly

In January

TJan  ( 5  460 )  R

Hence

cJan 

Then the time is

∆tJan 

k  Rair TJan
L
cJan

k  1.4
ft
s

∆tJuly  4.66 s

cJan  1057

ft
s

∆tJan  5.00 s

Rair  53.33 

ft lbf
lbm R

Problem 12.34

Given:

X-15 rocket plane speed and altitude

Find:

Mach number

[Difficulty: 2]

Solution:
Basic equation:

Available data
At

c

k R T

R  286.9

M
J
kg K

z  58400  m

V
c

k  1.4

V  7270

interpolating from Table A.3

km
hr
T  270.7  K  ( 255.8  K  270.7  K) 

T  258 K
Hence

c 

k  R T

c  322

m
s

c  1159

km
hr

and we have

M 

V
c

 6.27

58400  50000
60000  50000

Problem 12.35

[Difficulty: 2]

Given:

Mach number and altitude of hypersonic aircraft

Find:

Speed assuming stratospheric temperature, actual speed, speed assuming sea level static temperature

Solution:
Basic equation:

c

k R T

M
J

Available data

Rair  286.9

Assuming

T  390  R  217 K

Hence

c 

At

kg K

k  Rair T

V
c

k  1.4

c  295

M  7

m

and we have

s

m
Vstrat  M  c  2065
s

z  120000 ft z  36576 m interpolating from Table A.3

T  226.5  K  ( 250.4  K  226.5  K) 

36576  30000
40000  30000

T  242 K
Hence

c 

k  Rair T

c  312

m

and we have

s

m
Vactual  M  c  2183
s
The error is:

Assuming

T  288.2  K

Hence

c 

k  Rair T

Vstrat  Vactual
Vactual

c  340

m
s

and we have

 5.42 %

m
Vsls  M  c  2382
s
The error is:

Vsls  Vactual
Vactual

 9.08 %

Problem 12.36

Given:

Shuttle launch

Find:

How long after seeing it do you hear it?

[Difficulty: 2]

Solution:
Basic equation:

c

k R T

Assumption: Speed of light is essentially infinite (compared to speed of sound)

The given or available data is

T  ( 80  460 )  R

L  3.5 mi

Hence

c 

k  Rair T

c  1139

∆t 

L

∆t  16.23 s

Then the time is

c

ft
s

In the winter:

T  ( 50  460 )  R

Hence

c 

k  Rair T

c  1107

∆t 

L

∆t  16.7 s

Then the time is

c

ft
s

k  1.4

Rair  53.33 

ft lbf
lbm R

Problem 12.37

[Difficulty: 2]

Given:

Echo heard while hammering near mountain lake, time delay of echo is known

Find:

How far away are the mountains

Solution:
Basic equation:

c

k R T

Assumption: Speed of light is essentially infinite (compared to speed of sound)

The given or available data is

T  ( 25  273 )  K

Hence

c 

The distance covered by the sound is:

k  1.4

k  Rair T
L  c ∆t

Rair  287 
c  346

L  1038 m

J
kg K

∆t  3  s

m
s

but the distance to the mountains is half that distance:
L
2

 519 m

Problem 12.38

Given:

Data on water specific volume

Find:

Speed of sound over temperature range

[Difficulty: 2]

Solution:
c

Basic equation:

As an approximation for a liquid c 


ρ

at isentropic conditions

p

∆p

using available data.

∆ρ

We use compressed liquid data at adjacent pressures of 5 MPa and 10 MPa, and estimate the change in density between these
pressures from the corresponding specific volume changes
∆p  p 2  p 1

1

∆ρ 

v2



1

and

v1

c

∆p
∆ρ

at each
temperature

Here are the results, calculated using Excel:

p2 =
p1 =
p =

10
5
5

MPa
MPa
MPa

Data on specific volume versus temperature can be obtained fro any good thermodynamics text (try the Web!)

p1

Speed of Sound versus Temperature

p2

T ( C) v (m /kg) v (m /kg) Δρ (kg/m ) c (m/s)
3

0
20
40
60
80
100
120
140
160
180
200

0.0009977
0.0009996
0.0010057
0.0010149
0.0010267
0.0010410
0.0010576
0.0010769
0.0010988
0.0011240
0.0011531

3

0.0009952
0.0009973
0.0010035
0.0010127
0.0010244
0.0010385
0.0010549
0.0010738
0.0010954
0.0011200
0.0011482

3

2.52
2.31
2.18
2.14
2.19
2.31
2.42
2.68
2.82
3.18
3.70

1409
1472
1514
1528
1512
1470
1437
1366
1330
1254
1162

1600

1500

1400

c (m/s)

o

1300

1200

1100

1000
0

50

100
o

T ( C)

150

200

Problem 12.39

Section 12-2

[Difficulty: 3]

Problem 12.40

[Difficulty: 2]

Given:

Data on atmospheric temperature variation with altitude

Find:

Sound of speed at sea level; plot speed as function of altitude

Solution
The given or available data is:
R =
k =

286.9
1.4

J/kg.K

Computing equation:

c  kRT
Computed results:
(Only partial data is shown in table)
z (m)
T (K)
c (m/s)
288.2
284.9
281.7
278.4
275.2
271.9
268.7
265.4
262.2
258.9
255.7
249.2
242.7
236.2
229.7
223.3

340
338
336
334
332
330
329
326
325
322
320
316
312
308
304
299

Speed of Sound Variation with Altitude
350

325
c (m/s)

0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
6000
7000
8000
9000
10000

300

275

250
0

10000

20000

30000

40000

50000
z (m)

60000

70000

80000

90000 100000

Problem 12.41

[Difficulty: 3]

Given:

Data on atmospheric temperature variation with altitude

Find:

Lapse rate; plot rate of change of sonic speed with altitude

Solution:
Rair  286.9 

dz

c
dc
dz

z (km)

T (K)

-1
dc/dz (s )

0
1
2
3
4
5
6
7
8
9
10

288.2
281.7
275.2
268.7
262.2
255.8
249.3
242.8
236.3
229.8
223.3

-0.00383
-0.00387
-0.00392
-0.00397
-0.00402
-0.00407
-0.00412
-0.00417
-0.00423
-0.00429
-0.00435

T  T0

m

m 

Hence

T0  288.2  K T10k  223.3  K

z  10000  m

T  T0  m z
dT

For an ideal gas

k  1.4

kg K

T10k  T0
z
k R T 



which can be evaluated at z = 10 km

z

m k  R
2 c

3K

 6.49  10



k  R T0  m z

m



Here are the results, calculated using Excel:

Rate of Change of Sonic Speed
with Altitude
-0.0038
-0.0039
-1

For a linear temperature variation

J

dc/dz (s )

The given or available data is:

-0.0040
-0.0041
-0.0042
-0.0043
-0.0044
0

2

4

6
z (km)

8

10

Problem 12.42

Given:

Air flow at M = 1.9

Find:

Air speed; Mach angle

[Difficulty: 1]

Solution:
Basic equations:

c

k R T

M

T  ( 77  460 )  R

M  1.9

Hence

c 

c  1136

Then the air speed is

The Mach angle is given by

V  M c
α  asin

1







k  1.4
ft

V  2158

M

1

M

c

The given or available data is

k  Rair T

α  asin

V

s
ft
s

α  31.8 deg

V  1471 mph

Rair  53.33 

ft lbf
lbm R

Problem 12.43

[Difficulty: 3]

x


h

Given:

Hypersonic aircraft flying overhead

Find:

Time at which airplane is heard, how far aircraft travelled

Solution:
c

Basic equations:

k R T

M  7

Given or available data

M

α  asin

V

k  1.4

R  286.9

x

At

h  120000 ft h  36576 m




J
kg K

The time it takes to fly from directly overhead to where you hear it is ∆t 
If the temperature is constant then

1

M

c

x
V

h
tan( α)
T  226.5  K  ( 250.4  K  226.5  K) 

interpolating from Table A.3

T  242.2 K
c 

Using this temperature

Hence

α  asin



M
 
1

k  R T

α  8.2 deg

c  312

m

and

s

x 

h
tan( α)

V  M c

V  2183

m
s

x  253.4  km

∆t 

x
V

∆t  116.06 s

36576  30000
40000  30000

Problem 12.44

Given:

Projectile fired into a gas, Mach cone formed

Find:

Speed of projectile

[Difficulty: 3]

Solution:
Basic equations:

Given or available data

c

k R T

p  450  kPa

ρ  4.5

α  asin



M

V

M

c

kg
3

k  1.625

m

Combining ideal gas equation of state and the sonic speed:

From the Mach cone angle:

M 

1
sin( α)

M  4.62

c 

k

p
ρ

α 

1

25
2

p  ρ R T
 deg  12.5 deg

c  403.1

Therefore the speed is:

m
s

V  M c

V  1862

m
s

Problem 12.45

[Difficulty: 1]

Problem 12.46

[Difficulty: 2]

Problem 12.47

[Difficulty: 2]

Problem 12.48

[Difficulty: 2]

x


h

Given:

High-speed jet flying overhead

Find:

Estimate speed and Mach number of jet

Solution:
Basic
equations:

c

k R T

Given or available data

T  ( 25  273 )  K

M

α  asin

V

1




M

c

h  3000 m

k  1.4

R  286.9

J
kg K

The time it takes to fly from directly overhead to where you hear it is ∆t  7.5 s
The distance traveled, moving at speed V, is

x  V ∆t
tan( α) 

The Mach angle is related to height h and distance x by
1

sin( α) 

and also we have

M

c

cos( α)



h
x



h

(1)

V ∆t

(2)

V

c V ∆t
c ∆t


h
h

cos( α) 

Dividing Eq. 2 by Eq 1



sin( α)

V

Note that we could have written this equation from geometry directly!
We have
Hence
Then the speed is

c 

k  R T

M 

1
sin( α)

V  M c

c  346

m
s

so

α  acos

c ∆t 


 h 

M  1.99
V  689

m
s

Note that we assume the temperature of the air is uniform. In fact the temperature will vary over 3000 m, so the
Mach cone will be curved. This speed and Mach number are only rough estimates.

α  30.1 deg

Problem 12.49

[Difficulty: 2]

Problem 12.50

[Difficulty: 3]

x


h

Given:

Supersonic aircraft flying overhead

Find:

Time at which airplane heard

Solution:
Basic equations:
Given or available data

c

k R T

V  1000

M

m

α  asin 

V

h  3 km

s

k  1.4

The time it takes to fly from directly overhead to where you hear it is ∆t 
x

If the temperature is constant then

1




M

c

R  286.9

J
kg K

x
V

h
tan ( α )

The temperature is not constant so the Mach line will not be straight. We can find a range of Δt by considering the temperature range
At h  3  km we find from Table A.3 that
Using this temperature
Hence

c 

T  268.7 K

k  R T

α  asin 

1

c  329




M

Hence

c 

k  R T

α  asin 

M 

and

s

α  19.2 deg

x

h
tan ( α )

V
c

x  8625m

M  3.04
∆t 

x
V

∆t  8.62s

T  288.2 K

At sea level we find from Table A.3 that
Using this temperature

m



M
 
1

c  340

m

M 

and

s

α  19.9 deg

x

h
tan ( α )

V
c

x  8291m

Thus we conclude that the time is somwhere between 8.62 and 8.29 s. Taking an average

M  2.94
∆t 

x
V

∆t  8.55 s

∆t  8.29s

Problem 12.51

[Difficulty: 3]

x





h
x = Vt

Given:

Supersonic aircraft flying overhead

Find:

Location at which first sound wave was emitted

Solution:
Basic equations:
Given or available data

c

k R T

V  1000

M

m

α  asin



M

V
c

h  3  km

s

We need to find Δx as shown in the figure

1

k  1.4

R  286.9

J
kg K

∆x  h  tan( α)

The temperature is not constant so the Mach line will not be straight (α is not constant). We can find a range of
α and Δx by considering the temperature range
At h  3  km we find from Table A.3 that
Using this temperature
Hence

c 

T  268.7  K

k  R T

α  asin

1

c  329




M

Hence

c 

k  R T

α  asin

s

α  19.2 deg

V

an
d

M 

∆x  h  tan( α)

∆x  1043 m

an
d

M 

∆x  h  tan( α)

∆x  1085 m

c

M  3.04

T  288.2  K

At sea level we find from Table A.3 that
Using this temperature

m



M
1

c  340

m
s

α  19.9 deg

Thus we conclude that the distance is somwhere between 1043 and 1085 m. Taking an average

V
c

∆x  1064 m

M  2.94

Problem 12.52

[Difficulty: 4] Part 1/2

Problem 12.52

[Difficulty: 4] Part 2/2

Problem 12.53

Given:

Speed of automobile

Find:

Whether flow can be considered incompressible

[Difficulty: 2]

Solution:
Consider the automobile at rest with 60 mph air flowing over it. Let state 1 be upstream, and point 2 the stagnation point
on the automobile
The data provided, or available in the Appendices, is:
R  287 

J

k  1.4

kg K

V1  60 mph

p 1  101  kPa

T1  ( 20  273 )  K

1

The basic equation for the density change is

ρ0
ρ

 1 

( k  1)



2

M

2

k 1




(12.20c)
1

( k  1)

ρ0  ρ1  1 

or



For the Mach number we need c
m
V1  26.8
s
ρ0  ρ1   1 



k1
2

 M1

2

k 1




ρ1  1.201

c1 

c1  343

V1

3

m
s

M 1  0.0782

c1

ρ0  1.205

kg
m

k  R  T1

k 1




2

p1
ρ1 
R  T1

M1 
1

2

 M1

kg

The percentage change in density is

ρ0  ρ1
ρ0

3

m

 0.305  %

This is an insignificant change, so the flow can be considered incompressible. Note that M < 0.3, the usual guideline for
incompressibility

V1  120  mph

For the maximum speed present

m
V1  53.6
s

M1 

1

ρ0  ρ1   1 



k1
2

 M1

2




k 1

ρ0  1.216

kg
3

m

The percentage change in
density is

This is still an insignificant change, so the flow can be considered incompressible.

V1
c1

M 1  0.156
ρ0  ρ1
ρ0

 1.21 %

Problem 12.54

Given:

Supersonic transport aircraft

Find:

Explanation of sound wave refraction

[Difficulty: 5]

Solution:
A sound wave is refracted when the speed of sound varies with altitude in the atmosphere. (The variation in sound speed is caused by
temperature variations in the atmosphere, as shown in Fig. 3.3)
Imagine a plane wave front that initially is vertical. When the wave encounters a region where the temperature increase with altitude
(such as between 20.1 km and 47.3 km altitude in Fig. 3.3), the sound speed increases with elevation. Therefore the upper portion of
the wave travels faster than the lower portion. The wave front turns gradually and the sound wave follows a curved path through the
atmosphere. Thus a wave that initially is horizontal bends and follows a curved path, tending to reach the ground some distance from
the source.
The curvature and the path of the sound could be calculated for any specific temperature variation in the atmosphere. However, the
required analysis is beyond the scope of this text.

Problem 12.55

[Difficulty: 2]

Given:

Mach number range from 0.05 to 0.95

Find:

Plot of percentage density change; Mach number for 1%, 5% and 10% density change

Solution:
k  1.4

The given or available data is:
Basic equation:
1

ρ0
ρ

 1 



( k  1)
2

M

2

1

k 1




(12.20c)

∆ρ

Hence

ρ0



ρ0  ρ
ρ0

 1

ρ

so

ρ0

∆ρ
ρ0

 1  1 



Here are the results, generated using Excel:
M
0.05
0.10
0.15
0.20
0.25
0.30
0.35

Δρ /ρ o

0.40
0.45
0.50
0.55
0.60
0.65
0.70
0.75
0.80
0.85
0.90
0.95

7.6%
9.4%
11%
14%
16%
18%
21%
23%
26%
29%
31%
34%

0.1%
0.5%
1.1%
2.0%
3.1%
4.4%
5.9%

To find M for specific density changes
use Goal Seek repeatedly
Δρ /ρ o
M
0.142
1%
0.322
5%
0.464
10%
Note: Based on ρ (not ρ o) the results are:
0.142
0.314
0.441

Density Variation with Mach Number
40%

Δρ/ρo

30%

20%

10%

0%
0.0

0.1

0.2

0.3

0.4

0.5
M

0.6

0.7

0.8

0.9

1.0

( k  1)
2

M

2




1 k

Problem 12.56

Given:

Scramjet-powered missile traveling at fixed Mach number and altitude

Find:

Stagnation temperature at the nose of the missile

Solution:

T0  T  1 

k1

Available data

R  286.9

J

At

z  85000  ft

Basic equation:



2

kg K

M

[Difficulty: 2]

2




k  1.4

M  7

z  25908 m interpolating from Table A.3 T  220.6  K  ( 222.5  K  220.6  K) 

T  222 K
So the stagnation temperature is

T0  T  1 



k1
2

M

2




T0  2402 K

25908  24000
26000  24000

Problem 12.57

[Difficulty: 2]

Given:

X-15 rocket plane traveling at fixed Mach number and altitude

Find:

Stagnation temperature at the nose of the plane

Solution:
Basic equation:

Available data

At

T0  T  1 

k1

R  286.9

J



2

kg K

z  58400  m

M

2




c

k  1.4

k R T

M

V  7270

interpolating from Table A.3

V
c

km
hr
T  270.7  K  ( 255.8  K  270.7  K) 

58400  50000
60000  50000

T  258 K
Hence

c 

k  R T

So the stagnation temperature is

c  322

m

T0  T  1 



c  1159

s
k1
2

M

2




km
hr

and we have

M 

V
c

 6.27

T0  2289 K

Problem 12.58

[Difficulty: 1]

Given:

Car and F-1 race car traveling at sea level

Find:

Ratio of static to total pressure in each case; are compressiblilty effects experienced?

Solution:
k

Basic equations:

Given or available data

At sea level, from Table A.3
Hence

c

k R T

M

V

p0

c

p

Vcar  55 mph

ft
Vcar  80.7
s

k  1.4

Rair  53.33 

T  288.2  K

or

c 

k  Rair T

p
p0

  1 

k1

c  1116



2

 M car

M F1 

VF1

2

p
p0



k 1




ft
VF1  323 
s

VF1  220  mph
ft lbf
lbm R

ft

M car 

s

ρ  0.002377

slug
ft

Vcar

3

p  14.696 psi

M car  0.0723

c

 0.996
2

ρ Vcar 
p
 1 

2 p 
p0 

1

 0.996

M F1  0.289

c

  1 

2

k 1






The pressure ratio is

2

M

k

Note that the Bernoulli equation would give the same result!

For the Formula One car:



T  519  R



The pressure ratio is

k1

  1 

k1
2

 M F1

2




k
k 1

 0.944

Note that the Bernoulli equation would give almost the same result:

2

ρ VF1 
p
 1 

2 p 
p0 

1

 0.945

Incompressible flow can be assumed for both cases,
but the F1 car gets very close to the Mach 0.3 rule
of thumb for compressible vs. incompressible flow.

Problem 12.59

[Difficulty: 2]

Given:

Scramjet-powered missile traveling at fixed Mach number and altitude

Find:

Stagnation and dynamic pressures
k

Solution:
Basic equation:

Available data

At

c

k R T

R  286.9

M
J
kg K

z  85000  ft

V

p0

c

p

k  1.4

M  7

  1 



k1
2

M

p SL  14.696 psi

2

k 1




p dyn 

ρSL  0.2377

1
2

2

 ρ V

slug
ft

3

z  25908 m interpolating from Table A.3 T  220.6  K  ( 222.5  K  220.6  K) 

25908  24000
26000  24000

T  222 K
Hence

c 

k  R T

c  299

m
s

c  981 

ft

and we have

s

V  M  c  6864

ft
s

The static pressure and density can be found by interpolation:
k

25908  24000
p  p SL 0.02933  ( 0.02160  0.02933 ) 
 p  0.323  psi
26000  24000

25908  24000
slug
ρ  ρSL 0.03832  ( 0.02797  0.03832 ) 
ρ  0.00676 

26000  24000
3

ft

p 0  p   1 



p dyn 

1
2

k1
2

2

 ρ V

M

2




k 1

p 0  1336 psi

p dyn  1106 psi

Problem 12.60

[Difficulty: 2]

Given:

X-15 rocket plane traveling at fixed Mach number and altitude

Find:

Stagnation and dynamic pressures
k

Solution:
Basic equation:

Available data

At

c

k R T

R  286.9

M
J
kg K

z  58400  m

V

p0

c

p

k  1.4

  1 



V  7270

interpolating from Table A.3

k1
2

M

km

2

k 1




2

2

 ρ V

kg
ρSL  1.225 
3
m

p SL  101.3  kPa

hr

1

p dyn 

T  270.7  K  ( 255.8  K  270.7  K) 

58400  50000
60000  50000

T  258 K
Hence

c 

k  R T

c  322

m
s

c  1159

km

M 

and we have

hr

V
c

 6.27

The static pressure and density can be found by interpolation:
58400  50000
p  p SL 0.0007874  ( 0.0002217  0.0007874 ) 

60000  50000


p  0.0316 kPa
k

p 0  p   1 



58400  50000
ρ  ρSL 0.0008383  ( 0.0002497  0.0008383 ) 

60000  50000


k1
2

M

2




k 1

p 0  65.6 kPa

 4 kg

ρ  4.21  10



3

m
p dyn 

1
2

2

 ρ V

p dyn  0.86 kPa

Problem 12.61

Given:

Aircraft flying at 250 m/s

Find:

Stagnation pressure

[Difficulty: 1]

k

Solution:
Basic equations:

Given or available data

First we need

c

k R T

V  250 
c 

M

m

V

p0

c

p

T  ( 50  273 )  K

s

k  R T

c  299

m
s

then

  1 

k1



2

p 0  p   1 



k1
2

M

2




2

M 

k 1

p 0  44.2 kPa

V
c

k 1




p  28 kPa

k

Finally we solve for p0

M

k  1.4
M  0.835

R  286.9

J
kg K

Problem 12.62

[Difficulty: 2]

Given:

Pressure data on aircraft in flight

Find:

Change in air density; whether flow can be considered incompressible

Solution:
The data provided, or available in the Appendices, is:
k  1.4

p 0  48 kPa

p  27.6 kPa

T  ( 55  273 )  K

Governing equation (assuming isentropic flow):
p
k

 constant

(12.12c)

ρ

1

Hence

ρ
ρ0



p
p 
 0

k

1

so

∆ρ
ρ



ρ0  ρ
ρ

k

 p0 

1  1
ρ
p
ρ0

∆ρ
ρ

 48.5 %

NOT an incompressible flow!

Problem 12.63

Given:

Aircraft flying at 12 km

Find:

Dynamic and stagnation pressures

[Difficulty: 2]

k

Solution:
Basic equations:

Given or available data

At h  12 km ,from Table A.3

c

k R T

M

V

p0

c

p

M  2

h  12 km

kg
ρSL  1.225 
3
m

p SL  101.3  kPa

ρ  0.2546 ρSL

ρ  0.312

Also
Hence

p 0  p   1 

k1



c 

2

k  R T

p dyn 

1
2

M

2

2



2

M

2

k 1




p dyn 

R  286.9 

p  0.1915 p SL

p  19.4 kPa

p 0  152  kPa
m
s

p dyn  54.3 kPa

V  M c

V  590

m
s

1
2

2

 ρ V

J

k  1.4

k 1




c  295

 ρ V

3

k1

m

k

Hence

kg

  1 

kg K

T  216.7  K

Problem 12.64

[Difficulty: 1]

Problem 12.65

[Difficulty: 1]

Problem 12.66

[Difficulty: 1]

Problem 12.67

[Difficulty: 2]

Given:

Mach number of aircraft

Find:

Pressure difference; air speed based on a) compressible b) incompressible assumptions

Solution:
The data provided, or available in the Appendices, is:
R  287 

J

cp  1004

kg K

J
kg K

T  223.3  K

From Table A.3, at 10 km altitude

k  1.4

M  0.65

p  0.2615 101  kPa

p  26.4 kPa

k

p0

The governing equation for pressure change is:

p

  1 

k1



2

M

2




k 1

(12.20a)

k

Hence
The pressure difference is

p 0  p   1 

k1



2

M

2

k 1




p 0  35.1 kPa

p 0  p  8.67 kPa

a) Assuming compressibility c 

k  R T

c  300

m

V  M c

s

V  195

m
s

b) Assuming incompressibility
Here the Bernoulli equation applies in the form

p
ρ

For the density

Hence

ρ 

p

V

2



p0
ρ

so

V



2 p0  p

ρ  0.412

R T

V  205

2





ρ
kg
3

V 



2 p0  p

m



ρ

m
s

In this case the error at M = 0.65 in computing the speed of the aircraft using Bernoulli equation is

205  195
195

 5.13 %

Problem 12.68

[Difficulty: 1]

Problem 12.69

[Difficulty: 2]

Given:

Flight altitude of high-speed aircraft

Find:

Mach number and aircraft speed errors assuming incompressible flow; plot
k

Solution:
The governing equation for pressure change is:

p0
p

Hence

  1 

k1



2

M

2

k 1




(12.20a)
k


k 1


k  1 2
∆p  p   1 
M 
 1
2




 p0

∆p  p 0  p  p  
 1
p


(1)

For each Mach number the actual pressure change can be computed from Eq. 1
p

Assuming incompressibility, the Bernoulli equation applies in
the form

ρ

2



V

2



p0

V

so

ρ

2  ∆p
and the Mach number based on this is

Using Eq. 1

M incomp 

V
c



ρ
k R T



2  ∆p
k  ρ R T

k


k 1

2 
k  1 2
M incomp 
M 
 1
  1 
k 
2



The error in using Bernoulli to estimate the Mach number is

∆M
M



M incomp  M
M

For errors in speed:
Actual speed:

V  M c

Speed assuming incompressible flow:

The error in using Bernoulli to estimate the speed from the pressure difference is

V  M  k  R T
Vinc  M incomp k  R T
∆V
V

The computations and plots are shown below, generated using Excel:



Vincomp  V
V



2 p0  p
ρ





2  ∆p
ρ

The given or available data is:
R =
k =
T =

286.9
1.4
216.7

J/kg.K
K

(At 12 km, Table A.3)

Computed results:
c =
M
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9

295
M in comp
0.100
0.201
0.303
0.408
0.516
0.627
0.744
0.865
0.994

m/s
ΔM/M

V (m/s)

0.13%
0.50%
1.1%
2.0%
3.2%
4.6%
6.2%
8.2%
10.4%

29.5
59.0
88.5
118
148
177
207
236
266

V incomp (m/s)
29.5
59.3
89.5
120
152
185
219
255
293

ΔV/V
0.13%
0.50%
1.1%
2.0%
3.2%
4.6%
6.2%
8.2%
10.4%

Error in Mach Number Using Bernoulli
12%
10%
ΔM/M

8%
6%
4%
2%
0%
0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

M

Error in Speed Using Bernoulli
12%
10%

ΔV/V

8%
6%
4%
2%
0%
0

50

100

150
V (m/s)

200

250

300

Problem 12.70

Given:

Wind tunnel at M = 2.5

Find:

Stagnation conditions; mass flow rate

[Difficulty: 2]

k

Solution:
Basic equations:

Given or available data

Then

c

k R T

M

V

p0

c

p

M  2.5

T  ( 15  273 )  K

k  1.4

R  286.9 

T0  T  1 

k1



2

M

  1 

k1



2

M

2




k 1

T0
T

1

2

A  0.175  m

T0  648 K

T0  375  °C

J
kg K

2




p 0  p   1 

k1



2

M

2

k 1




p 0  598  kPa

The mass flow rate is given by

mrate  ρ A V

We need

c 

k  R T

c  340

ρ 

p

ρ  0.424

and also

Then

R T

mrate  ρ A V

m

V  M c

s
kg
3

m

kg
mrate  63.0
s

2

p  35 kPa

k

Also

k1

V  850

m
s

M

2

Problem 12.71

[Difficulty: 2]

Problem 12.72

Given:

Wind tunnel test of supersonic transport

Find:

Lift and drag coefficients

[Difficulty: 3]

k

Solution:
Basic equations:

c

k R T
FL

CL 

1
2

Given or available data

M
CD 

2

 ρ V  A

M  1.8



Finally

2

T0
k1

1

We also need

k1

p  p 0   1 
T 

and

2

k  Rair T

CD 

2

 ρ V  A
FD

1
2

1

2

 ρ V  A

2




k 1

T0
T

1

k1
2

M

2

2

 ρ V  A
p 0  200  psi

Rair  53.33 

k

FL  12000  lbf

ft lbf
lbm R

k 1

p  34.8 psi
T  123  °F

2

c  1183

ft

c  807  mph

s
ft

V  1452 mph

s
slug
ft

FL
2




2

M

FD

ρ  0.00501 

Rair T

1

2



V  2129

p

CL 

M

k1

T  583  R
M

V  M c
ρ 

p

k  1.4


c 

c

  1 

T0  ( 500  460 )  R
2

Then

p0

2

A  100  in

We need local conditions

V

CL  1.52

CD  0.203

3

FD  1600 lbf

Problem 12.73

[Difficulty: 2]

Problem 12.74

[Difficulty: 2]

Problem 12.75

[Difficulty: 2]

Given:

Data on air flow in a duct

Find:

Stagnation pressures and temperatures; explain velocity increase; isentropic or not?

Solution:
The data provided, or available in the Appendices, is:
Rair  287 

At altitude:

J
kg K

cp  1004

J

k  1.4

kg K

M  9.68

p SL  101.3  kPa

kg
ρSL  1.225 
3
m

33528  30000
z  110000 ft z  33528 m T1  226.5  K  ( 250.4  K  226.5  K) 
T  234.9 K
40000  30000 1

33528  30000
p 1  p SL 0.01181  ( 0.002834  0.01181 ) 

40000  30000

The sound speed is:

c 

k  Rair T1  307.239

So the stagnation temperature and pressure are:

m

p 1  0.8756 kPa
V  M  c  2974

so the flight speed is:

s

T01  T1   1 



k1
2

M

2




m

V  9757

s

T01  4638 K

ft
s

T01  8348 R

k

p 01  p 1   1 



k1
2

As the air passes through the shock wave, stagnation pressure decreases:

M

2




k 1

p 01  29.93  MPa

p 02  p 01 ( 1  0.996 )

Therefore, the total head probe sees a pressure of
Since there is no heat transfer through the shock wave, the stagnation temperature remains the same:

p 02  119.7  kPa

T02  T01
T02  8348 R

Problem 12.76

[Difficulty: 2]

Given:

Data on air flow in a duct

Find:

Stagnation pressures and temperatures; explain velocity increase; isentropic or not?

Solution:
The data provided, or available in the Appendices, is:
R  287 
M 1  0.1

J

cp  1004

kg K

T1  ( 20  273 )  K

For stagnation temperatures:

J

k  1.4

kg K

p 1  1000 kPa

T01  T1   1 

k1

T02  T2   1 

k1




2

2

M 2  0.7

 M1
 M2

2




2




T2  ( 5.62  273 )  K

p 2  136.5  kPa

T01  293.6 K

T01  20.6 C

T02  293.6 K

T02  20.6 C

(Because the stagnation temperature is constant, the process is adiabatic)
k

For stagnation pressures:

p 01  p 1   1 



k1
2

 M1

2

k 1




p 01  1.01 MPa
k

p 02  p 2   1 



The entropy change is:

Note that

k1
2

 M2

2

k 1




p 02  189  kPa

 T2 
 p2 
∆s  cp  ln
 R ln 

 T1 
 p1 

V1  M 1  k  R T1

m
V1  34.3
s

∆s  480 

V2  M 2  k  R T2

Although there is friction, suggesting the flow should decelerate, because
the static pressure drops so much, the net effect is flow acceleration!
The entropy increases because the process is adiabatic but irreversible (friction).
δq
From the second law of thermodynamics ds 
: becomes ds > 0
T

J
kg K

m
V2  229
s

Problem 12.77

[Difficulty: 2]

Given:

Data on air flow in a duct

Find:

Stagnation temperatures; explain; rate of cooling; stagnation pressures; entropy change

Solution:
The data provided, or available in the Appendices, is: R  287 
T1  ( 500  273 )  K

p 1  500  kPa

M 1  0.5

M 2  0.2

For stagnation temperatures:

J
kg K

M rate  0.05

T01  T1   1 

k1

T02  T2   1 

k1




2

2

 M1

 M2

cp  1004

2




2




J
kg K

k  1.4

T2  ( 18.57  273 )  K

p 2  639.2  kPa

T01  811.7 K

T01  539  C

T02  256.5 K

T02  16.5 C

kg
s

The fact that the stagnation temperature (a measure of total energy) decreases suggests cooling is taking place.
For the heat transfer:



Q  M rate cp  T02  T01



Q  27.9 kW
k

For stagnation pressures:

p 01  p 1   1 



k1
2

 M1

2

k 1




p 01  593  kPa
k

p 02  p 2   1 



The entropy change is:

k1
2

 M2

2

k 1




 T2 
 p2 
∆s  cp  ln
  R ln 
 T1 
 p1 

p 02  657  kPa

∆s  1186

J
kg K

The entropy decreases because the process is a cooling process (Q is negative).
δq
From the second law of thermodynamics: ds 
becomes ds  ve
T
Hence, if the process is reversible, the entropy must decrease; if it is irreversible, it may increase or decrease

Problem 12.

['LIILFXOW\3]

Problem 12.79

Given:

Air flow in duct with heat transfer and friction

Find:

Heat transfer; Stagnation pressure at location 2

[Difficulty: 3]

k

Solution:
Basic equations:

Given or available data

c

k R T

and from

V

p0

c

p

V1

h1 

p 1  400  kPa

T1  325  K

p 2  275  kPa

T2  450  K

J

dm

 h2 

V2

k1



2

J

m

ρ V A  const

ρ1
V2  V1 
ρ2

m
V2  302
s





q  c p  T2  T1 

c2 

V2  V1

ρ2  2.13

kg

k1

q  160 

2

 M2

2




m
s

s
o

M2 

kJ
kg

V2
c2

k 1

p 02  385  kPa

3

m

2

c2  425

2

3

2

k



kg

2

k  R  T2

p 02  p 2   1 




kg K

p2
ρ2 
R  T2

 q  h2  h1 

k 1

2

R  286.9 

V2  V1

2

2

ρ1  4.29

δQ

M

m
V1  150 
s

k  1.4

kg K

2

Hence

δQ

  1 

p1
ρ1 
R  T1

dm

We also have



2

2

Also

2

ρ V A  const

cp  1004
Then

M

M 2  0.711

Problem 12.80

[Difficulty: 2]

Given:

Data on air flow in a ramjet combustor

Find:

Stagnation pressures and temperatures; isentropic or not?

Solution:
The data provided, or available in the Appendices, is:
Rair  53.33 
M 1  0.2

ft lbf
lbm R

T1  ( 600  460 )  R

For stagnation temperatures:

cp  0.2399

BTU

k  1.4

lbm R

p 1  7  psi

T01  T1   1 

k1

T02  T2   1 

k1




2

2

M rate  0.1

M 2  0.9
 M1
 M2

2




2




lbm
s

T2  ( 1890  460 )  R

T01  1068.5 R

T01  608.8  °F

T02  2730.7 R

T02  2271 °F

p 2  4.1 psi

Since we are modeling heat addition, the stagnation temperature should increase.
The rate of heat addition is:



Q  M rate cp  T02  T01



Q  39.9

BTU
s

k

For stagnation pressures:

The entropy change is:

p 01  p 1   1 



k1
2

 M1

2




k

k 1

 7.20 psi

 T2 
 p2 
BTU
∆s  cp  ln
 Rair ln   0.228

lbm R
 T1 
 p1 

p 02  p 2   1 



k1
2

 M2

2




k 1

 6.93 psi

T

p02
T02
p2

The entropy increases because heat is being added. Here is a Ts diagram
of the process:

p01
T01



T2

p1



T1
s

Problem 12.81

[Difficulty: 2]

Given:

Data on air flow in a ramjet combustor

Find:

Stagnation pressures and temperatures; isentropic or not?

Solution:
The data provided, or available in the Appendices, is:
Rair  53.33 
M 1  0.2

ft lbf
lbm R

T1  ( 600  460 )  R

For stagnation temperatures:

cp  0.2399

k  1.4

lbm R

p 1  7  psi

T01  T1   1 

k1

T02  T2   1 

k1




The rate of heat addition is:

BTU

2

2



M rate  0.1

M 2  0.9
 M1
 M2

Q  M rate cp  T02  T01

2




2






lbm
s

T2  ( 1660  460 )  R

T01  1068.5 R

T01  608.8  °F

T02  2463.4 R

T02  2003.8 °F
Q  33.5

p 2  1.6 psi

BTU
s

k

For stagnation pressures:

p 01  p 1   1 



k1
2

 M1

2

k 1




p 01  7.20 psi
k

p 02  p 2   1 



The entropy change is:

k1
2

 M2

2

k 1




 T2 
 p2 
∆s  cp  ln
 Rair ln 

 T1 
 p1 

p 02  2.71 psi

∆s  0.267 

The friction has increased the entropy increase across the duct, even though the heat addition has decreased.

BTU
lbm R

Problem 12.82

[Difficulty: 2]

Problem 12.83

[Difficulty: 2]

Given:

Air flow through turbine

Find:

Stagnation conditions at inlet and exit; change in specific entropy; Plot on Ts
diagram
k

Solution:
p0

Basic equations:

p
Given or available data

k1

  1 



2

2

k 1

T0




T

 1

k1
2

M

2

M 1  0.4

p 1  625 kPa

T1  ( 1250  273)  K

M 2  0.8

p 2  20 kPa

T2  ( 650  273)  K

k  1.4

R  286.9

cp  1004

Then

M

J
kg K

T01  T1  1 

k1



2

2




 M1

 T2 
 p2 
∆s  cp  ln   R ln 
 T1 
 p1 

J
kg K

T01  1572K

T01  1299 °C

k

p 01  p 1   1 

k1

T02  T2   1 

k1



2



2

 M1

k 1

2




 M2

p 01  698  kPa

2




T02  1041 K
k

p 02  p 2   1 

k1



2

 M2

2

k 1




p 02  30 kPa

 T2 
 p2 
∆s  cp  ln
 R ln 

 T1 
 p1 
p01

T

T 01
p1



p 02

T1

T 02
p2



T2

s

∆s  485 

J
kg K

T02  768  °C

Problem 12.84

[Difficulty: 3]

Problem 12.85

Given:

Air flow leak in window of airplane

Find:

Mass flow rate

[Difficulty: 2]

1

Solution:
Basic equations:

mrate  ρ V A

Vcrit 

2 k

ρ0

 R  T0

k1

ρcrit



k 1
k  1
 2 



The interior conditions are the stagnation conditions for the flow
Given or available data

kg
ρSL  1.225 
3
m

T0  271.9  K

ρ0  0.7812 ρSL

ρ0  0.957

kg
3

m

(Above data from Table A.3 at an altitude of 2500 m)
2

A  1  mm

Then

ρcrit 

cp  1004
ρ0
1

k  1

k 1

J

k  1.4

kg K

ρcrit  0.607

kg

Vcrit 

3

m

 2 


The mass flow rate is

mrate  ρcrit Vcrit A

 4 kg

mrate  1.83  10

s

R  286.9 
2 k
k1

 R  T0

J
kg K

m
Vcrit  302
s

Problem 12.86

Given:

Air leak in ISS

Find:

Mass flow rate

[Difficulty: 2]

1

Solution:
mrate  ρ V A

Basic equations:

2 k

Vcrit 

k1

ρ0

 R  T0



ρcrit

k 1
k  1
 2 



The interior conditions are the stagnation conditions for the flow
Given or available data

T0  ( 65  460 )  R

The density of air inside the ISS would be:

Then

ρ0

ρcrit 

1

k 
 2


The mass flow rate is

1

p 0  14.7 psi

Rair  53.33 

p0
ρ0 
Rair T0

ρcrit  1.49  10

k 1

ft lbf
lbm R

ρ0  2.35  10





ft

3

2 k

Vcrit 

2

A  0.001  in

 3 slug

ft

 3 slug

k  1.4

k1

3

 Rair T0

ft
Vcrit  1025
s




mrate  ρcrit Vcrit A

mrate  1.061  10

 5 slug



s

 4 lbm

mrate  3.41  10



s

Problem 12.87

[Difficulty: 1]

Problem 12.88

Given:

Data on helium in reservoir

Find:

Critical conditions

[Difficulty: 1]

Solution:
The data provided, or available in the Appendices, is:
RHe  386.1 

ft lbf
lbm R

For critical conditions

k  1.66
T0
Tcrit



T0  3600 R

k1

Tcrit 

2

p 0  ( 725  14.7)psi

T0

p 0  740  psi

Tcrit  2707 R

k 1
2

k

p0
p crit



k 1
k  1
 2 



p0

p crit 

k

k 
 2

Vcrit 

k  RHe Tcrit

1

ft
Vcrit  7471
s




k 1

p crit  361  psi

absolute

Problem 12.9

['LIILFXOW\1]

Problem 12.90

Given:

Data on hot gas stream

Find:

Critical conditions

[Difficulty: 1]

Solution:
The data provided, or available in the Appendices, is:
R  287 

J
kg K

For critical conditions

k  1.4
T0
Tcrit



T0  ( 1500  273)  K
k1

Tcrit 

2

T0

T0  1773K

p 0  140 kPa

Tcrit  1478K

k 1
2

k

p0
p crit



k 
 2


1

k 1




p0

p crit 

k

k 
 2

Vcrit 

k  R Tcrit

m
Vcrit  770
s

1




k 1

p crit  74.0 kPa

absolute

Problem 12.91

Given:

Data on air flow in a ramjet combustor

Find:

Critical temperature and pressure at nozzle exit

[Difficulty: 1]

Solution:
The data provided, or available in the Appendices, is:

k  1.4

p 0  1.7 MPa T0  1010 K

The critical temperature and pressure are:
T0
Tcrit



k1

Tcrit 

2

T0

Tcrit  841.7 K

k 1
2

k

p0
p crit



k 
 2


1




k 1

p0

p crit 

k

k 
 2


1




k 1

p crit  0.898  MPa

Problem 12.92

Given:

Data on air flow in a ramjet combustor

Find:

Critical temperature and pressure at nozzle exit

[Difficulty: 1]

Solution:
k  1.4

The data provided, or available in the Appendices, is:
Stagnation conditions are:

k1

T02  T2   1 



2

 M2

2




M 2  0.9

T2  ( 1660  460)  R

T02  2463.4R


p 2  1.6 psi

T02  2003.8°F


k

p 02  p 2   1 

k1



2

2

 M2

k 1




p 02  2.71 psi

The critical temperature and pressure are:
T02
Tcrit2



k1

Tcrit2 

2

T02

Tcrit2  2052.9 R

k 1
2

k

p 02
p crit2



k 
 2


1




k 1

p crit2 

p 02
k

k 
 2


1




k 1

p crit2  1.430  psi

Tcrit2  1593.2 °F

Problem 13.1

Given:

Air extracted from a large tank

Find:

Mass flow rate

[Difficulty: 2]

Solution:
h1 

V1

2

Basic
equations:

mrate  ρ V A

 h2 

Given or available data

T0  ( 70  273 )  K

p 0  101  kPa

D  15 cm

cp  1004

mrate  ρ A V

A 

2

V2

( 1 k)

2

p

2

k

 const

We need the density and velocity at the nozzle. In the tank
1

From the isentropic relation

p
ρ  ρ0   
 p0 

J

k  1.4

kg K

R  286.9 

J
kg K

2

A  0.0177 m

4

p0
ρ0 
R  T0
ρ  0.379

 const

p  25 kPa

π D

k

k

ρ

2

The mass flow rate is given by

T p

ρ0  1.026

kg
3

m

kg
3

m

We can apply the energy equation between the tank (stagnation conditions) and the point in the nozzle to find the velocity
2

h0  h 

V

V

2





2 h0  h 



2  c p  T0  T



( 1 k )

 p0 
T  T0   
p

Fot T we again use insentropic relations

Then
The mass flow rate is

V 



2  c p  T0  T

mrate  ρ A V

Note that the flow is supersonic at this point
Hence we must have a converging-diverging nozzle



V  476

k

T  230.167 K

T  43.0 °C

m
s

kg
mrate  3.18
s
c 

k  Rc 
T 304

m
s

M 

V
c

M  1.57

Problem 13.2

[Difficulty: 2]

Problem 13.3

[Difficulty: 2]

Given:

Steam flow through a nozzle

Find:

Speed and Mach number; Mass flow rate; Sketch the shape

Solution:
Basic
equations:

2

mrate  ρ V A

h1 

2

V1

 h2 

2

V2
2

Assumptions: 1) Steady flow 2) Isentropic 3) Uniform flow 4) Superheated steam can be treated as ideal gas
Given or available data

T0  ( 450  273 )  K

p 0  6 MPa

p  2 MPa

D  2  cm

k  1.30

R  461.4

J

(Table A.6)

kg K

From the steam tables (try finding interactive ones on the Web!), at stagnation conditions

Hence at the nozzle section

J
s0  6720
kg K

h 0  3.302  10 

6 J

J
an
s  s0  6720
kg K d

p  2  MPa
T  289 °C

From these values we find from the steam tables that
Hence the first law becomes

The mass flow rate is given by

Hence

For the Mach number we need

V 



2 h0  h

mrate  ρ A V 

mrate 
c 

A V
v

k  R T


v

6 J

h  2.997  10 

v  0.1225

s
2

A 

kg

3

m

V  781
A V

kg

π D
4

4

A  3.14  10

2

m

kg
mrate  2.00
s
c  581

The flow is supersonic starting from rest, so must be converging-diverging

m
s

M 

V
c

M  1.35

m

kg

Problem 13.4

[Difficulty: 2]

Given: Data on flow in a passage
Find:

Pressure and Mach number at downstream location

Solution:
The given or available data is:

R =
k =
p1 =
M1 =

296.8
1.4
450
0.7

A1 =

0.15

m

A2 =

0.45

m

p 01 =

624

kPa

J/kg-K
kPa
2
2

Equations and Computations:
From M 1 and p 1, and Eq. 13.7a
(using built-in function Isenp (M ,k ))

From M 1, and Eq. 13.7d
(using built-in function IsenA (M ,k ))

A
For isentropic flow (p 01 = p 02, A

*

*
1

=

0.1371

2

m

*

2

= A 1)
p 02 =
A

*

A 2/A

*

624

2

=

0.1371

2

=

3.2831

kPa
2

m

*

From A 2/A 2, and Eq. 13.7d
(using built-in function IsenMsubfromA (M ,k ))
Since there is no throat, the flow stays subsonic
M2 =
0.1797
From M 2 and p 02, and Eq. 13.7a
(using built-in function Isenp (M ,k ))
p2 =

610

kPa

Problem 13.5

[Difficulty: 2]

Given: Data on flow in a passage
Find:

Temperature and Mach number at downstream location

Solution:
R =
k =
T1 =
T1 =
M1 =

296.8
1.4
30
303
1.7

°C

A1 =

0.15

m2

A2 =

0.45

m2

T 01 =

478

K

A *1 =

0.1121

m2

478

K

=

0.1121

m2

A 2/A *2 =

4.0128

The given or available data is:

J/kg-K

K

Equations and Computations:
From M 1 and T 1, and Eq. 13.7b
(using built-in function Isent (M ,k ))

From M 1, and Eq. 13.7d
(using built-in function IsenA (M ,k ))

For isentropic flow (T 01 = T 02, A *2 = A *1)
T 02 =
A

*
2

*

From A 2/A 2, and Eq. 13.7d
(using built-in function IsenMsupfromA (M ,k ))
Since there is no throat, the flow stays supersonic!
M2 =
2.94
From M 2 and T 02, and Eq. 13.7b
(using built-in function Isent (M ,k ))
T2 =
T2 =

175
-98

K
°C

Problem 13.6

Given:

Air flow in a passage

Find:

Mach number; Sketch shape

[Difficulty: 2]

Solution:
k

Basic
equations:
Given or available data

The speed of sound at state 1 is
Hence

p0
p

  1 

k1



2

M

2

k 1




c

T1  ( 10  273 )  K

p 1  150  kPa

m
V1  120 
s

p 2  50 kPa

k  1.4

R  286.9 

c1 

c1  337

M1 

k  R  T1
V1

Solving for M2



M2 

s

k

k

p 0  p 1   1 

m

M 1  0.356

c1

For isentropic flow stagnation pressure is constant. Hence at state 2

Hence

k R T

k1
2

 M1

2

p0
p2

  1 

k1



2

k 1




k 1




k

2  p 0 
  
 1
k1
 p2 


p 0  164  kPa

M 2  1.42

Hence, as we go from subsonic to supersonic we must have a converging-diverging nozzle

 M2

2




k 1

J
kg K

Problem 13.7

[Difficulty: 2]

Given: Data on flow in a passage
Find:

Pressure at downstream location

Solution:
The given or available data is:

ft·lbf/lbm·oR

R =
k =

53.33
1.4

T1 =
p1 =
V1 =
M2 =

560
30
1750
2.5

c1 =

1160

M1 =

1.51

p 01 =

111

psi

p 02 =

111

psi

p2 =

6.52

psi

o

R

psi
ft/s

Equations and Computations:
From T 1 and Eq. 12.18

Then

ft/s

From M 1 and p 1, and Eq. 13.7a
(using built-in function Isenp (M ,k ))

For isentropic flow (p 01 = p 02)

From M 2 and p 02, and Eq. 13.7a
(using built-in function Isenp (M ,k ))

Problem 13.8

[Difficulty: 2]

Given: Data on flow in a passage
Find:

Stagnation conditions; whether duct is a nozzle or diffuser; exit conditions

Solution:
The given or available data is:

R =
k =
p1 =
T1 =
V1 =

259.8
1.4
200
420
200

kPa
K
m/s

A1 =

0.6

m2

A2 =

0.5

m2

c1 =

391

m/s

M1 =

0.512

T 01 =

442

K

p 01 =

239

kPa

J/kg-K

Equations and Computations:
From T 1 and Eq. 12.18

Then
From M 1 and T 1, and Eq. 13.7b
(using built-in function Isent (M ,k ))

From M 1 and p 1, and Eq. 13.7a
(using built-in function Isenp (M ,k ))

Since the flow is subsonic and the area is decreasing, this duct is a nozzle.
From M 1, and Eq. 13.7d
(using built-in function IsenA (M ,k ))

A *1 =

0.4552

For isentropic flow (p 01 = p 02, T 01 = T 02, A *2 = A *1)
p 02 =
239
T 02 =
442
A *2 =

0.4552

m2

kPa
K
m2

*

A 2/A 2 =
1.0984
From A 2/A * 2, and Eq. 13.7d
(using built-in function IsenMsubfromA (M ,k ))
Since there is no throat, the flow stays subsonic!
M2 =
0.69
From M 2 and stagnation conditions:
(using built-in functions)
p2 =
T2 =

173
403

kPa
K

Problem 13.9

[Difficulty: 3]

Given: Data on flow in a passage
Find:

Shape of flow passage; exit area provided the flow is reversible

Solution:
The given or available data is:

R =
k =
m=
p1 =
T1 =
T1 =

53.33
1.4
20
30
1200
1660

A1 =
M2 =

8
1.2

ft-lbf/lbm-°R
lbm/s
psia
°F
°R
in2

Equations and Computations:
Using the ideal gas law we calculate the density at station 1:
lbm/ft3
ρ1 =
0.04880
Now we can use the area and density to get the velocity from the mass flow rate:
V1 =
7377
ft/s
From T 1 and Eq. 12.18

Then

c1 =

1998

M1 =

3.69

ft/s

Since the flow is supersonic and the velocity is decreasing, this duct is converging.

From M 1, and Eq. 13.7d
(using built-in function IsenA (M ,k ))

A *1 =

0.9857

in2

A *2 =

0.9857

in2

A 2/A *2 =

1.0304

A2 =

1.016

For isentropic flow ( A *2 = A *1)

Therefore the exit area is:
in2

Problem 13.10

[Difficulty: 3]

Given: Data on flow in a nozzle
Find:

Mass flow rate; Throat area; Mach numbers

Solution:
The given or available data is:

R =
k =
T0 =
p1 =
A =

286.9
1.4
523
200
1

J/kg·K
K
kPa

p2 =

50

kPa

2

cm

Equations and Computations:
We don't know the two Mach numbers. We do know for each that Eq. 13.7a applies:

Hence we can write two equations, but have three unknowns (M 1, M 2, and p 0)!
We also know that states 1 and 2 have the same area. Hence we can write Eq. 13.7d twice:

We now have four equations for four unknowns (A *, M 1, M 2, and p 0)!
We make guesses (using Solver) for M 1 and M 2, and make the errors in computed A * and p 0 zero.
For:

M1 =

0.512

M2 =

1.68

from Eq. 13.7a:

p0 =

239

kPa

p0 =

239

kPa

0.00%

and from Eq. 13.7d:

A* =

0.759

cm

2

A* =

0.759

cm

2

0.00%

Note that the throat area is the critical area

Sum

The stagnation density is then obtained from the ideal gas equation
0 =

1.59

3

kg/m

The density at critical state is obtained from Eq. 13.7a (or 12.22c)
* =

Errors

1.01

kg/m3

The velocity at critical state can be obtained from Eq. 12.23)

V* =

418

m/s

m rate =

0.0321

kg/s

The mass flow rate is *V *A *

0.00%

Problem 13.

['LIILFXOW\2]

Problem 13.12

Given:

Air flow in a passage

Find:

Speed and area downstream; Sketch flow passage

[Difficulty: 3]

k 1

Solution:
Basic equations:

T0
T

Given or available data

1

k1
2

M

2

c

k R T

T1  ( 32  460 )  R

p 1  25 psi

M 1  1.75

T2  ( 225  460 )  R

k  1.4

Rair  53.33 

D1  3  ft
Hence

2 ( k 1)
 1  k  1  M2 

2
A
1 



k 1
Acrit
M


2



A1 

T0  T1   1 

k1



2

 M1

2




π D1

2

4

T0  793  R

A1  7.07 ft

ft lbf
lbm R

2

T0  334  °F

For isentropic flow stagnation conditions are constant. Hence

We also have

2

 T0



M2 

k1

c2 

k  Rair T2

Hence

V2  M 2  c2

From state 1

Acrit 



T2



 1



M 2  0.889
c2  1283

ft
s

ft
V2  1141
s
A1  M 1
k 1

Acrit  5.10 ft

2 ( k 1)
 1  k  1 M 2 
1 

2


k 1


2


k 1

Hence at state 2

2 ( k 1)
 1  k  1 M 2 
2 
Acrit 
2
A2 


M2
k 1


2



A2  5.15 ft

Hence, as we go from supersonic to subsonic we must have a converging-diverging diffuser

2

2

Problem 13.13

[Difficulty: 2]

Problem 13.14

[Difficulty: 3]

Given: Data on flow in a passage
Find:

Mach numbers at entrance and exit; area ratio of duct

Solution:
The given or available data is:

R =
k =
T1 =
p1 =
T2 =
T 02 =
p2 =

286.9
1.4
310
200
294
316
125

J/kg-K
K
kPa
K
K
kPa

Equations and Computations:
Since the flow is adiabatic, the stagnation temperature is constant:
T 01 =
316
K
Solving for the Mach numbers at 1 and 2 using Eq. 13.7b
(using built-in function IsenMfromT (Tratio ,k ))

Then

M1 =
0.311
M2 =
0.612
Using the ideal gas equation of state, we can calculate the densities of the gas:
kg/m3
ρ1 =
2.249
ρ2 =

1.482

kg/m3

c1 =
c2 =
V1 =
V2 =

352.9
343.6
109.8
210.2

m/s
m/s
m/s
m/s

From static temperatures and Eq. 12.18

Since flow is steady, the mass flow rate must be equal at 1 and 2.
So the area ratio may be calculated from the densities and velocities:
A 2/A 1 =

0.792

Note that we can not assume isentropic flow in this problem. While the flow is
adiabatic, it is not reversible. There is a drop in stagnation pressure from state 1 to 2
which would invalidate the assumption of isentropic flow.

Problem 13.15

[Difficulty: 3]

Given: Flow in a converging nozzle to a pipe
Find:

Plot of mass flow rate

Solution:
The given or available data is

R =
k =
T0 =
p0 =
Dt =

287
1.4
293
101
1

J/kg·K
K
kPa
cm

2
A t = 0.785 cm

Equations and Computations:
The critical pressure is given by

p * = 53.4 kPa
Hence for p = 100 kPa down to this pressure the flow gradually increases; then it is constant

c V = M ·c  = p /RT
(m/s) (m/s)
(kg/m3)
343
41
1.19
342
58
1.18
342
71
1.18
341
82
1.17
341
92
1.16
340
101
1.15
337
138
1.11
335
168
1.06
332
195
1.02
329
219
0.971
326
242
0.925
322
264
0.877
318
285
0.828
315
306
0.778
313
313
0.762
313
313
0.762
313
313
0.762
313
313
0.762
313
313
0.762

Flow
Rate
(kg/s)
0.00383
0.00539
0.00656
0.00753
0.00838
0.0091
0.0120
0.0140
0.0156
0.0167
0.0176
0.0182
0.0186
0.0187
0.0187
0.0187
0.0187
0.0187
0.0187

Flow Rate in a Converging Nozzle
0.020
0.018
0.016
0.014
Flow Rate (kg/s)

p
M
T (K)
(kPa) (Eq. 13.7a) (Eq. 13.7b)
100
0.119
292
99
0.169
291
98
0.208
290
97
0.241
290
96
0.270
289
95
0.297
288
90
0.409
284
85
0.503
279
80
0.587
274
75
0.666
269
70
0.743
264
65
0.819
258
60
0.896
252
55
0.974
246
53.4
1.000
244
53
1.000
244
52
1.000
244
51
1.000
244
50
1.000
244

0.012
0.010
0.008
0.006
0.004
0.002
0.000

Using critical conditions, and Eq. 13.9 for mass flow rate:
53.4
1.000
244
313
313
0.762
0.0185
(Note: discrepancy in mass flow rate is due to round-off error)

50

60

70

80
p (kPa)

90

100

Problem 13.16

[Difficulty: 2]

Given: Data on flow in a passage
Find:

Flow rate; area and pressure at downstream location; sketch passage shape

Solution:
The given or available data is:

R =
k =

286.9
1.4

J/kg.K

A1 =
T1 =
p1 =
V1 =
T2 =
M2 =

0.25
283
15
590
410
0.75

m2
K
kPa
m/s

Equations and Computations:
From T 1 and Eq. 12.18

Then

(12.18)
c1 =

337

M1 =

1.75

m/s

Because the flow decreases isentropically from supersonic to subsonic
the passage shape must be convergent-divergent

From p 1 and T 1 and the ideal gas equation
1 =

0.185

kg/m3

m rate =

27.2

kg/s

The mass flow rate is m rate = 1A 1V 1

From M 1 and A 1, and Eq. 13.7d
(using built-in function IsenA (M ,k ))

(13.7d)

A* =

0.180

m2

A2 =

0.192

m2

From M 2 and A *, and Eq. 13.7d
(using built-in function IsenA (M ,k ))

From M 1 and p 1, and Eq. 13.7a
(using built-in function Isenp (M ,k ))

(13.7a)
p 01 =

79.9

kPa

p 02 =

79.9

kPa

p2 =

55.0

kPa

For isentropic flow (p 01 = p 02)

From M 2 and p 02, and Eq. 13.7a
(using built-in function Isenp (M ,k ))

Problem 13.17

[Difficulty: 3]

Given: Data on tank conditions; isentropic flow
Find:

Plot cross-section area and pressure distributions

Solution:
The given or available data is:

R =
k =

53.33
1.4

T0 =
p0 =
pe =
m rate =

500
45
14.7
2.25

ft·lbf/lbm·oR
o

R

psia
psia
lbm/s

Equations and Computations:
From p 0, p e and Eq. 13.7a (using built-in function IsenMfromp (M,k))

(13.7a)
Me =

1.37

Because the exit flow is supersonic, the passage must be a CD nozzle
We need a scale for the area.
From p 0, T 0, m flow, and Eq. 13.10c

(13.10c)
Then

At = A* =

0.0146

ft2

For each M , and A *, and Eq. 13.7d
(using built-in function IsenA (M ,k )

(13.7d)

we can compute each area A .
From each M , and p 0, and Eq. 13.7a
(using built-in function Isenp (M ,k )
we can compute each pressure p .

L (ft)

M
0.069
0.086
0.103
0.120
0.137
0.172
0.206
0.274
0.343
0.412
0.480
0.549
0.618
0.686
0.755
0.823
0.892
0.961
1.000
1.098
1.166
1.235
1.304
1.372

1.00
1.25
1.50
1.75
2.00
2.50
3.00
4.00
5.00
6.00
7.00
8.00
9.00
10.00
11.00
12.00
13.00
14.00
14.6
16.00
17.00
18.00
19.00
20.00

A (ft 2)

p (psia)

0.1234
0.0989
0.0826
0.0710
0.0622
0.0501
0.0421
0.0322
0.0264
0.0227
0.0201
0.0183
0.0171
0.0161
0.0155
0.0150
0.0147
0.0146
0.0146
0.0147
0.0149
0.0152
0.0156
0.0161

44.9
44.8
44.7
44.5
44.4
44.1
43.7
42.7
41.5
40.0
38.4
36.7
34.8
32.8
30.8
28.8
26.8
24.9
23.8
21.1
19.4
17.7
16.2
14.7

Area Variation in Passage
0.14
0.12
A (ft2)

0.10
0.08
0.06
0.04
0.02
0.00
0

5

10

15

20

L (ft)

p (psia)

Pressure Variation in Passage
50
45
40
35
30
25
20
15
10
5
0
0

2

4

6

8

10
L (ft)

12

14

16

18

20

Problem 13.18

[Difficulty: 2]

Given: Flow in a converging-diverging nozzle to a pipe
Find:

Plot of mass flow rate

Solution:
The given or available data is

R =
k =
T0 =
p0 =
Dt =

286.9
1.4
293
101
1

J/kg·K
K
kPa
cm
2

At =

0.785

cm

p* =

53.4

kPa

De =
Ae =

2.5

cm

4.909

cm2

Equations and Computations:
The critical pressure is given by

This is the minimum throat pressure

For the CD nozzle, we can compute the pressure at the exit required for this to happen
2
A* = 0.785 cm
A e/A * = 6.25
M e = 0.0931
or
p e = 100.4
or

(= A t)
3.41
67.2

(Eq. 13.7d)
kPa (Eq. 13.7a)

Hence we conclude flow occurs in regimes iii down to v (Fig. 13.8); the flow is ALWAYS choked!

p*

M

T * (K)

c*

V * = c *  = p /RT

(kPa) (Eq. 13.7a) (Eq. 13.7b) (m/s)
(m/s)
(kg/m3)
53.4
1.000
244
313
313
0.762
(Note: discrepancy in mass flow rate is due to round-off error)

Flow
Rate
(kg/s)
0.0187
0.0185

(Using Eq. 13.9)

Problem 13.19

Given:

Isentropic air flow in converging nozzle

Find:

Pressure, speed and Mach number at throat

[Difficulty: 2]

Solution:
Basic equations:

k

T0
T

Given or available data

k1

1

2

M

p0

2

p

  1 

k1



2

p 1  350  kPa

m
V1  150 
s

k  1.4

R  286.9 

M

2

k 1




M 1  0.5

p b  250  kPa

J
kg K

The flow will be choked if p b/p0 < 0.528
k

k1

p 0  p 1   1 



2

 M1

2

k 1




pb

p 0  415  kPa

p0

 0.602

(Not choked)

k

Hence

p0
pt

so

  1 

Mt 

k1



2

 Mt

2

k 1




where

k 1




k

2  p 0 
  
 1
k1
 pt 


Also

V1  M 1  c1  M 1  k  R T1 or

Then

T0  T1   1 

Hence

Then

Finally

k1



Tt 

ct 

2

T0
1

k1
2

k  R  Tt

Vt  M t ct

 Mt

2

 M1

2




pt  pb

p t  250  kPa

M t  0.883

 V1 
T1 


k R M1
 
1

2

T1  224 K

T0  235 K

T0  37.9 °C

Tt  204 K

Tt  69.6 °C

ct  286

m
s

m
Vt  252
s

T1  49.1 °C

Problem 13.20

Given:

Air flow in a converging nozzle

Find:

Mass flow rate

[Difficulty: 2]

Solution:
k

Basic equations:

mrate  ρ V A

Given or available data p b  35 psi

pb
p0

T

p 0  60 psi

k  1.4

Since

T0

p  ρ R T

Rair  53.33 

ft lbf
lbm R

 0.583 is greater than 0.528, the nozzle is not choked and

Hence

Mt 

and

Tt 

ct 

k 1




k

2  p 0 
  
 1
k1
 pt 


T0
1

k1
2

 Mt

k  Rair Tt

2

1

k1
2

M

pt  pb

ft
Vt  1166
s

mrate  ρt At Vt

slug
mrate  0.528 
s



At  0.0873 ft

Vt  ct
 3 slug

ft

k1

π 2
At   Dt
4

Tt  106  °F



p

  1 

Dt  4  in

Tt  566  R

ρt  5.19  10

p0

T0  ( 200  460 )  R

M t  0.912

pt
ρt 
Rair Tt

2

3

lbm
mrate  17.0
s

2

2

M

2




k 1

Problem 13.21

[Difficulty: 2]

Given: Data on flow in a passage
Find:

Possible Mach numbers at downstream location

Solution:
The given or available data is:

R =
k =
M1 =

286.9
1.4
1

A1 =

0.2

m2

A2 =

0.5

m2

A *1 =

0.2

m2

A *2 =

0.2

m2

J/kg-K

Equations and Computations:
Since the flow is sonic at the entrance:

For isentropic flow (A *2 = A *1)

A 2/A *2 =
2.5
Now there are two Mach numbers which could result from this area change,
one subsonic and one supersonic.
From A 2/A * 2, and Eq. 13.7d
(using built-in functions)
M 2sub =
0.2395
2.4428
M 2sup =

Problem 13.22

[Difficulty: 3]

Given: Data on three tanks
Find:

Mass flow rate; Pressure in second tank

Solution:
The given or available data is:

R =
k =

286.9
1.4

At =

1

J/kg.K
2

cm

We need to establish whether each nozzle is choked. There is a large total pressure drop so this is likely.
However, BOTH cannot be choked and have the same flow rate. This is because Eq. 13.9a, below
(13.9b)

indicates that the choked flow rate depends on stagnation temperature (which is constant) but also
stagnation pressure, which drops because of turbulent mixing in the middle chamber. Hence BOTH nozzles
cannot be choked. We assume the second one only is choked (why?) and verify later.
Temperature and pressure in tank 1:

T 01 =
308
p 01 =
650
We make a guess at the pressure at the first nozzle exit:
p e1 =
527
NOTE: The value shown is the final answer! It was obtained using Solver !
This will also be tank 2 stagnation pressure:
p 02 =
527
65
Pressure in tank 3:
p3 =

K
kPa
kPa
kPa
kPa

Equations and Computations:
From the p e1 guess and Eq. 13.17a:
Then at the first throat (Eq.13.7b):

M e1 =
T e1 =

0.556
290

K

The density at the first throat (Ideal Gas) is:
Then c at the first throat (Eq. 12.18) is:
Then V at the first throat is:
Finally the mass flow rate is:

 e1 =

6.33
341
190
0.120

kg/m
m/s
m/s
kg/s

c e1 =
V e1 =
m rate =

3

First Nozzle!

For the presumed choked flow at the second nozzle we use Eq. 13.9a, with T 01 = T 02 and p 02:
m rate =

0.120

kg/s

For the guess value for p e1 we compute the error between the two flow rates:
m rate =
0.000
Use Solver to vary the guess value for p e1 to make this error zero!
Note that this could also be done manually.

kg/s

Second Nozzle!

Problem 13.23

[Difficulty: 2]

Problem 13.24

[Difficulty: 2]

Problem 13.25

[Difficulty: 2]

Given: Data on converging nozzle; isentropic flow
Find:

Pressure and Mach number; throat area; mass flow rate

Solution:
The given or available data is:

R =
k =

286.9
1.4

J/kg.K

A1 =
T1 =
V1 =
p atm =

0.05
276.3
200
101

m2
K
m/s
kPa

Equations and Computations:
From T 1 and Eq. 12.18

Then

(12.18)
c1 =

333

M1 =

0.60

m/s

To find the pressure, we first need the stagnation pressure.
If the flow is just choked
pe =
p atm =

p* =

101

kPa

From p e = p * and Eq. 12.22a

(12.22a)
p0 =

191

kPa

From M 1 and p 0, and Eq. 13.7a
(using built-in function Isenp (M ,k )

(13.7a)
Then

p1 =

150

kPa

The mass flow rate is m rate = 1A 1V 1
Hence, we need 1 from the ideal gas equation.
1 =

1.89

kg/m3

m rate =

18.9

kg/s

The mass flow rate m rate is then

The throat area A t = A * because the flow is choked.
From M 1 and A 1, and Eq. 13.7d
(using built-in function IsenA (M ,k )

(13.7d)

Hence

A* =

0.0421

m2

At =

0.0421

m2

Problem 13.26

[Difficulty: 2]

Problem 13.27

[Difficulty: 2]

Problem 13.28

[Difficulty: 3]

Given: Data on flow in a passage
Find:

Exit temperature and mass flow rate of air assuming isentropic flow

Solution:
The given or available data is:

R =
k =
T1 =
p1 =
p 01 =

53.33
1.4
450
45
51

ft-lbf/lbm-°R

A1 =

4

ft2

A2 =

3

ft2

°R
psia
psia

Equations and Computations:
From the static and stagnation pressures we can calculate M 1:

M1 =

0.427

T 01 =

466.38

°R

A *1 =

2.649

ft2

From the M 1 and T 1 we can get T 01:

From M 1, and Eq. 13.7d
(using built-in function IsenA (M ,k ))

For isentropic flow (p 02 = p 01, T 02 = T 01, A *2 = A *1)
p 02 =
51
T 02 =
466.38
A *2 =

2.649

A 2/A *2 =

1.1325

psia
°R
ft2

Given subsonic flow in the duct, we can find the exit Mach number using
Equation 13.7d
M2 =
0.653
From the Mach number and stagnation state we can calculate the
static pressure and temperature:
p2 =
38.28
psia
T2 =
430
°R
From T 2 and Eq. 12.18
c2 =
V2 =

1016.38
664.11

ft/s
ft/s

Using the ideal gas law we calculate the density at station 2:
lbm/ft3
ρ2 =
0.2406
Now we can use the area, density, and velocity to calculate the mass flow rate:
m =

479

lbm/s

Problem 13.29

[Difficulty: 2]

Given: Temperature in and mass flow rate from a tank
Find:

Tank pressure; pressure, temperature and speed at exit

Solution:
The given or available data is:

R =
k =
T0 =

286.9
1.4
273

J/kg.K

At =
m rate =

0.001
2

m2

K
kg/s

Equations and Computations:
Because p b = 0
Hence the flow is choked!

pe =

p*

Hence

Te =

T*

From T 0, and Eq. 12.22b
(12.22b)
T* =

228

Te =

228
-45.5

K
K
o

C

Also
Hence

Me =
Ve =

1
V* =

From T e and Eq. 12.18

ce
(12.18)

Then

ce =

302

m/s

Ve =

302

m/s

To find the exit pressure we use the ideal gas equation
after first finding the exit density.
The mass flow rate is m rate = eA eV e
Hence

e =

6.62

kg/m3

pe =

432

kPa

From the ideal gas equation p e = eRT e

From p e = p * and Eq. 12.22a
(12.22a)
p0 =

817

kPa

We can check our results:
From p 0, T 0, A t, and Eq. 13.9a

(13.9a)
Then

m choked =
m choked =

2.00
m rate

kg/s
Correct!

Problem 13.30

[Difficulty: 2]

Problem 13.31

[Difficulty: 3]

Given: Temperature and pressure in a tank; nozzle with specific area
Find:

Mass flow rate of gas; maximum possible flow rate

Solution:
The given or available data is:

R =
k =
T0 =
p0 =

296.8
1.4
450
150

At =

30

cm2

At =
pb =

0.003
100

m2

J/kg.K
K
kPa

kPa

Equations and Computations:
Assuming that the nozzle exit pressure is the back pressure:
pe =
100
kPa
Then the nozzle exit Mach number is:
Me =
0.7837
This nozzle is not choked. The exit temperature is:
Te =
400.78
K
From T e and Eq. 12.18

Then

(12.18)
ce =

408.08

m/s

Ve =

319.80

m/s

From the ideal gas equation of state, we can calculate the density:
kg/m3
e =
0.8407
Therefore the mass flow rate is:
m =

0.807

kg/s

When the room pressure can be lowered, we can choke the nozzle.
p*
pe =
T*
Te =

From T 0, and Eq. 12.22b
(12.22b)

Also
Hence

T* =
p* =

375
79.24

Te =

375

Me =
Ve =

1

K

V* =

From T e and Eq. 12.18

Then

K
kPa

ce
(12.18)

ce =

395

m/s

Ve =

395

m/s

To find the mass flow rate we calculate the density from the ideal
gas equation of state:
Hence

e =

0.7120

kg/m3

m max =

0.843

kg/s

Therefore the mass flow rate is:

We can check our results:
From p 0, T 0, A t, and Eq. 13.9a

(13.9a)
Then

m choked =
m choked =

0.843
m rate

kg/s
Correct!

Problem 13.32

[Difficulty: 2]

Given:

Isentropic air flow into a tank

Find:

Initial mass flow rate; Ts process; explain nonlinear mass flow rate

Solution:
Basic equations:

k

T0
T

Given or available data

Then

k1

1

2

M

p0

2

p

p 0  101  kPa

p b  p 0  10 kPa

k  1.4

R  286.9 

A 

π
4

2

D

J
kg K

Avena  65 % A
pb

The flow will be choked if p b/p0 < 0.528

p0

 0.901

  1 

k1



M

2

2




p b  91 kPa

k 1

mrate  ρ A V
T0  ( 20  273 )  K

D  5  mm
2

Avena  12.8 mm
(Not choked)

k

Hence

p0
p vena

  1 

so

M vena 

Then

Tvena 

Then

cvena 



k1
2

M

2

k 1




wher
e

k 1




k

2  p 0 
 
 1

k1
 pvena 


T0
1

k1
2

 M vena

2

k  R Tvena

p vena  p b

p vena  91 kPa

M vena  0.389

Tvena  284 K

cvena  338

Tvena  11.3 °C

m
s

and

Vvena  M vena  cvena

m
Vvena  131
s

Also

p vena
ρvena 
R Tvena

ρvena  1.12

mrate  ρvena  Avena  Vvena

mrate  1.87  10

Finally

kg
3

m

 3 kg

s

The Ts diagram will be a vertical line (T decreases and s = const). After entering the tank there will be turbulent mixing (s increases)
and the flow comes to rest (T increases). The mass flow rate versus time will look like the curved part of Fig. 13.6b; it is nonlinear
because V AND ρ vary

Problem 13.33

Given:

Spherical cavity with valve

Find:

Time to reach desired pressure; Entropy change

[Difficulty: 3]

k

Solution:
Basic equations:

T0
T

1

k1
2

M

p0

2

p

  1 

k1



2

M

2

k 1

 T2 
 p2 
∆s  cp  ln   R ln 
 T1 
 p1 




k 1

Given or available data

Then the inlet area is

p  ρ R T

c

k R T

mrate  ρ A  V

p 0  101  kPa

Tatm  ( 20  273 )  K

p f  45 kPa

Tf  Tatm

π 2
At   d
4

At  0.785  mm

T0  Tatm

k  1.4
2

k  2 
mchoked  At  p 0 


R  T0  k  1 

R  286.9

pf
ρf 
R  Tf

ρf  0.535

kg

k 1

k  2 
We have choked flow so mrate  At p 0 


R  T0  k  1 
∆t 

J

cp  1004

π
3

pb

so

p0

3

J
kg K
3

D

V  0.131 m

 0.446

(Choked)

and final mass is M  ρf  V

M  0.0701 kg

m

Since the mass flow rate is constant (flow is always choked)

Hence

3

D  50 cm

kg K

and tank volume is V 

The flow will be choked if p b/p0 < 0.528; the MAXIMUM back pressure is p b  p f
The final density is

d  1  mm

2 ( k  1 )

M

2  ( k  1)

∆t  374 s

mrate

M  mrate ∆t

mrate  1.873  10

∆t 

or

M
mrate

 4 kg

s

∆t  6.23 min

The air in the tank will be cold when the valve is closed. Because ρ =M/V is constant, p = ρRT = const x T, so as the
temperature rises to ambient, the pressure will rise too.

 T2 
 p2 
For the entropy change during the charging process is given by ∆s  cp  ln

R

ln

 p  where
 T1 
 1
and

p1  p0

p2  pf

Hence

 T2 
 p2 
∆s  cp  ln
  R ln 
 T1 
 p1 

T1  Tatm T2  Tatm

∆s  232 

J
kg K

Problem 13.34

[Difficulty: 3]

Problem 13.35

[Difficulty: 3]

Problem 13.36

[Difficulty: 3]

Problem 13.37

[Difficulty: 3]

Given: Air-driven rocket in space
Find:

Tank pressure; pressure, temperature and speed at exit; initial acceleration

Solution:
R =
k =
T0 =

286.9
1.4
398

J/kg.K

At =
M =
m rate =

25
25
0.05

mm2
kg
kg/s

Because p b = 0
Hence the flow is choked!

pe =

p*

Hence

Te =

T*

The given or available data is:

K

Equations and Computations:

From T 0, and Eq. 12.22b
(12.22b)

Also
Hence

T* =

332

Te =

332

K

58.7

o

Me =
Ve =

C

1
V* =

From T e and Eq. 12.18

Then

K

ce
(12.18)

ce =

365

m/s

Ve =

365

m/s

To find the exit pressure we use the ideal gas equation
after first finding the exit density.
The mass flow rate is m rate = eA eV e
Hence

e =

0.0548

pe =

5.21

kg/m3

From the ideal gas equation p e = eRT e
kPa

From p e = p * and Eq. 12.22a
(12.22a)
p0 =

9.87

kPa

We can check our results:
From p 0, T 0, A t, and Eq. 13.9a
(13.9a)

Then

m choked =
m choked =

0.050
m rate

kg/s
Correct!

The initial acceleration is given by:
(4.33)

which simplifies to:

pe At  Max  mrateV
ax =

or:
1.25

ax 
m/s2

m rate V  p e At
M

Problem 13.38

[Difficulty: 3]

Given: Air flow through a converging-diverging nozzle
Find:

Nozzle exit area and mass flow rate

Solution:
The given or available data is:

R =
k =
p0 =
T0 =
pe =

286.9
1.4
2
313
200

At =

20

J/kg-K
MPa
K
kPa
cm2

Equations and Computations:
Using the stagnation to exit static pressure ratio, we can find the exit Mach number:
(using built-in function Isenp (M ,k ))

Me =

2.1572

A e/A * =

1.9307

From M e, and Eq. 13.7d
(using built-in function IsenA (M ,k ))

At the throat the flow is sonic, so At = A*. Therefore:
Ae =

38.6

cm2

To find the mass flow rate at the exit, we will use the choked flow equation:
From p 0, T 0, A t, and Eq. 13.9a

(13.9a)
m =

17.646

kg/s

Problem 13.39

[Difficulty: 1]

Given: Hydrogen flow through a converging-diverging nozzle
Find:

Nozzle exit Mach number

Solution:
The given or available data is:

R =
k =
p0 =
T0 =
T0 =
pe =

766.5
1.41
100
540
1000
20

ft-lbf/lbm-°R
psia
°F
°R
psia

Equations and Computations:
Using the stagnation to exit static pressure ratio, we can find the exit Mach number:
(using built-in function Isenp (M ,k ))

Me =

1.706

Problem 13.40

Given:

Gas cylinder with broken valve

Find:

Mass flow rate; acceleration of cylinder

[Difficulty: 3]

k

Solution:
T0

Basic
equations:

T

1

k1
2

M

2

p0
p

  1 



k1
2

M

2

k 1




p  ρ R T

c

k R T

mrate  ρ A V

(4.33)

Given or available data p atm  101  kPa
k  1.66

R  2077

p 0  20 MPa  p atm  20.101 MPa

J
kg K

The exit temperature is Te 

p b  p atm

T0

Ve  ce

The exit pressure is

pe 

p0
k

1

3

 5.025  10

M CV  65 kg

(Choked: Critical conditions)

Te  52.8 °C

ce 

p e  9.8 MPa

and exit density is

pe
ρe 
R  Te

k 1

mrate  ρe Ae Ve

ax 

p0




The momentum equation (Eq. 4.33) simplifies to

Hence

pb

2

Ae  78.5 mm

k  R  Te

m
Ve  872
s

1  k 

2

Then

so

Te  220 K

1  k  1 


2 


The exit speed is

π 2
Ae   d
4

d  10 mm so the nozzle area is

The flow will be choked if p b/p0 < 0.528:

T0  ( 20  273 )  K

kg
mrate  1.468
s

pe  patm Ae  MCV ax  Ve mrate

pe  patm Ae  Ve mrate
M CV

ax  31.4

m
2

s

The process is isentropic, followed by nonisentropic expansion to atmospheric pressure

ρe  21

kg
3

m

Problem 13.41

[Difficulty: 3]

Problem 13.42

Given:

Spherical air tank

Find:

Air temperature after 30s; estimate throat area

[Difficulty: 4]

Solution:
Basic equations:

T0
T

1

k1
2

M

2

p
k

 
 ρ dVCV 
t 

 const

ρ

  


 ρ V dACS  0


(4.12)

Assumptions: 1) Large tank (stagnation conditions) 2) isentropic 3) uniform flow
Given or available data

p atm  101  kPa

p 1  2.75 MPa

T1  450 K

D  2 m

V

∆M  30 kg

∆t  30 s

k  1.4

R  286.9

J

p b  p atm

The flow will be choked if p b/p1 < 0.528:

so

pb
p1

 0.037

π
6

3

D

3

V  4.19 m

kg K

(Initially choked: Critical conditions)

We need to see if the flow is still choked after 30s
The initial (State 1) density and mass are

The final (State 2) mass and density are then

For an isentropic process

p
k

 const

ρ
The final temperature is

T2 

To estimate the throat area we use

p2
ρ2  R

so

p1
ρ1 
R  T1

ρ1  21.3

M 2  M 1  ∆M

M 2  59.2 kg

kg
3

M 1  ρ1  V

M 1  89.2 kg

M2
ρ2 
V

ρ2  14.1

m

 ρ2 
p2  p1  
 ρ1 

k

T2  382 K

p 2  1.55 MPa

pb
p2

 0.0652

 mtave  ρtave At Vtave
∆t

or

The average stagnation temperature is

The average stagnation pressure is

T0ave 
p 0ave 

(Still choked)

∆M
At 
∆t ρtave Vtave

where we use average values of density and speed at the throat.
T1  T2
2
p1  p2
2

T0ave  416 K
p 0ave  2.15 MPa

3

m

T2  109  °C

∆M

kg

Hence the average temperature and pressure (critical) at the throat are

Ttave 

Hence

Finally

T0ave

1  k  1 


2 


Vtave 

k  R Ttave

∆M
At 
∆t ρtave Vtave

Ttave  347 K

and

p 0ave

p tave 

k

1  k 

2

p tave
ρtave 
R Ttave

m
Vtave  373
s
4

At  2.35  10

2

m

2

At  235  mm

This corresponds to a diameter

Dt 

4  At
π

Dt  0.0173 m

Dt  17.3 mm

The process is isentropic, followed by nonisentropic expansion to atmospheric pressure

1

p tave  1.14 MPa

k 1




ρtave  11.4

kg
3

m

Problem 13.43

Given:

Ideal gas flow in a converging nozzle

Find:

Exit area and speed

[Difficulty: 4]

k 1
k

Solution:
T0

Basic
equations:

T

k1

1

2

p 1  35 psi

Given or available data

M

p0

2

p

ρ1  0.1

lbm
ft

c1 

Check for choking:

Hence

M1 

V1

k1



M2 

2

 M1

2




A1  1  ft
c1 

2

k

p 2  25 psi
p1

c1  1424

ρ1

k  1.25
ft
s

p 0  37.8 psi
p crit  21.0 psi

k

1

k 1






k 1




k

2  p 0 
  
 1
k1
 p2 


k 1
2 ( k 1)
 1  k  1 M 2 
1 

2


k 1


2


k

p  ρ  const

ρ A V  const

Hence p2 > pcrit, so NOT choked

k 1

M 1  A1

Acrit 

Finally from continuity

2

ft
V1  500 
s

3

p0

k 
 2


For isentropic flow

M

k

The critical pressure is then p crit 

From M1 we find



2

k  R T1 or, replacing R using the ideal gas equation

p 0  p 1   1 

Then we have

k1

M 1  0.351

c1

Then

  1 

 1  k  1  M2 

2
A
1 



k 1
Acrit
M


2



k 1

2 ( k 1)

so

so

M 2  0.830

Acrit  0.557  ft

2

k 1

 1  k  1 M 2 
2 

2
A2 


M2
k 1


2


Acrit

1

 p1 
ρ2  ρ1   
 p2 

k

A1  ρ1
V2  V1 
A2  ρ2

ρ2  0.131 

lbm
ft

ft
V2  667 
s

3

2 ( k 1)

A2  0.573  ft

2

Problem 13.44

[Difficulty: 4] Part 1/3

Problem 13.44

[Difficulty: 4] Part 2/3

Problem 13.44

[Difficulty: 4] Part 3/3

Problem 13.45

[Difficulty: 3]

Given: Air flow through a converging-diverging nozzle
Find:

Nozzle mass flow rate

Solution:
The given or available data is:

R =
k =
V1 =
p1 =
T1 =
T1 =

53.33
1.4
50
15
70
530

ft-lbf/lbm-°R

At =

1

ft2

c1 =

1128.80

ft/s

M1 =

0.0443

ft/s
psia
°F
°R

Equations and Computations:
At station 1 the local sound speed is:

So the upstream Mach number is:

So now we can calculate the stagnation temperature and pressure:

p0 =
T0 =

15.021
530.21

psia
°R

To find the mass flow rate, we will use the choked flow equation:
From p 0, T 0, A t, and Eq. 13.10a

(13.10a)
m =

50.0

lbm/s

Problem 13.46

Given:

CD nozzle attached to large tank

Find:

Flow rate

[Difficulty: 2]

k

Solution:
Basic equations:

T0
T

Given or available data

1

2

M

2

p0
p

  1 

k1



2

M

p 0  150  kPa

T0  ( 35  273 )  K

k  1.4

R  286.9 

For isentropic flow

Me 

Then

Te 

Also

ce 

Finally

k1

J
kg K

k 1




k

2  p 0 
  
 1
k1
 p e 


 1  k  1  M 2

e 
2


ce  332

k 1




mrate  ρ V A

p e  101  kPa

D  2.75 cm

π 2
Ae   D
4

Ae  5.94 cm

M e  0.773

T0

k  R  Te

2

m
s

pe
ρe 
R  Te

ρe  1.28

mrate  ρe Ve Ae

kg
mrate  0.195
s

kg
3

m

Te  275 K

Te  1.94 °C

Ve  M e ce

m
Ve  257
s

2

Problem 13.47

[Difficulty: 4]

Problem 13.48

[Difficulty: 4] Part 1/2

Problem 13.48

[Difficulty: 4] Part 2/2

Problem 13.49

[Difficulty: 2]

Given: Design condition in a converging-diverging nozzle
Find:

Tank pressure; flow rate; throat area

Solution:
The given or available data is:

R =
k =

53.33
1.4

T0 =

560

Ae =
pb =
Me =

1
14.7
2

pe =

pb

pe =

14.7

o

ft.lbf/lbm. R
o

R
2

in

psia

Equations and Computations:
At design condition

psia

From M e and p e, and Eq. 13.7a
(using built-in function Isenp (M ,k )
(13.7a)

p0 =

115

psia

From M e and A e, and Eq. 13.7d
(using built-in function IsenA (M ,k )

(13.7d)

Hence

2

A* =

0.593

in

At =

0.593

in

2

From p 0, T 0, A t, and Eq. 13.10a

(13.10a)
m choked =

1.53

lb/s

Problem 13.50

[Difficulty: 3]

Given: Wind tunnel test section with blockage
Find:

Maximum blockage that can be tolerated; air speed given a fixed blockage

Solution:
The given or available data is:

R =
k =
M1 =
T1 =
T1 =

53.33
1.4
1.2
70
530

ft-lbf/lbm-°R

°F
°R

At =

1

ft2

Equations and Computations:
*

The test section will choke if the blockage decreases the area to A . In the test section:
*

A 1/A =

1.0304

So the minimum area would be
*

2

A =
ft
0.9705
And the blockage would be the difference between this and the test section area:
2
*
ft
A1 - A =
0.0295
A1 - A =

4.25

in2

A1 - A =

3.0000

in

A actual =
The resulting isentropic area ratio is:

0.9792

ft2

A actual/A * =

1.0090

*

If we have a blockage of:
2

Then the actual area would be:

and the actual Mach number is:
1.1066
M actual =
(remember that since we're already supersonic, we should use the supersonic solution)
The stagnation temperature for the wind tunnel is (based on test section conditions)
T0 =
682.64
°R
So the actual static temperature in the tunnel is:
T actual =
548.35
°R
The sound speed would then be:
c actual =
1148.17
ft/s
And so the speed in the test section is:
V actual =

1270.5

ft/s

Problem 13.51

[Difficulty: 3]

Given: Air flow through a converging-diverging nozzle equipped with pitot-static probe
Find:

Nozzle velocity and mass flow rate

Solution:
The given or available data is:

R =
k =
p1 =
p 01 =
T1 =
T1 =

286.9
1.4
75
100
20
293

A1 =

10

in2

A1 =

0.006452

m2

J/kg-K
kPa
kPa
°C
K

Equations and Computations:
At station 1 the local sound speed is:
c1 =
343.05
m/s
Based on the static and pitot pressures, the Mach number is:
M1 =
0.6545
Therefore the velocity is:
V1 =
225
m/s
The local density can be calculated using the ideal gas equation of state:
kg/m3
ρ1 =
0.8922
So the mass flow rate is:
m =

1.292

kg/s

Problem 13.52

[Difficulty: 2]

Problem 13.53

[Difficulty: 2]

Problem 13.54

[Difficulty: 3]

Given: Methane discharging from one tank to another via a converging nozzle
Find:

Mass flow rate at two different back pressures

Solution:
The given or available data is:

R =
k =
p0 =
T0 =
T0 =

96.32
1.31
75
80
540

Ae =

1

ft-lbf/lbm-°R
psia
°F
°R
in2

Equations and Computations:
If the nozzle were choked, the exit Mach number is 1 and the pressure would be:
p* =
40.79
psia
Therefore, in part a, when
pe =
15
psia
The nozzle is choked, and we can use the choked flow equation:
From p 0, T 0, A t, and Eq. 13.9a

(13.9a)
m =

1.249

lbm/s

In part b, when
pe =
60
psia
The nozzle is not choked. The exit Mach number is:
Me =
0.5915
The exit temperature can be found from the Mach number:
Te =
512.2
°R
The sound speed at the exit is:
ce =
1442.6
ft/s
And so the exit flow speed is:
Ve =
853.3
ft/s
The density can be calculated using the ideal gas equation of state:
lbm/ft3
ρe =
0.1751
The mass flow rate can then be calculated directly from continuity:
m=
1.038
lbm/s

Problem 13.55

[Difficulty: 2]

Problem 13.56

[Difficulty: 2]

Problem 13.57

[Difficulty: 3] Part 1/2

Problem 13.57

[Difficulty: 3] Part 2/2

Problem 13.58

Given:

Rocket motor on test stand

Find:

Mass flow rate; thrust force

[Difficulty: 3]

k

Solution:
Basic equations:

T0
T

1

k1
2

M

2

patm  pe Ae  Rx  mrate Ve
Given or available data p e  75 kPa

k1



2

p 0  4  MPa

so the nozzle exit area is

T0

 1  k  1  M 2

e 
2



Then

mrate  ρe Ae Ve

kg
mrate  19.3
s






p  ρ R T

c

k R T

mrate  ρ A V

T0  3250 K

k  1.25

π 2
Ae   d
4

Ae  491 cm

k  R  Te

pe  patm Ae  MCV ax  Ve mrate

Rx  p e  p atm  Ae  Ve mrate

R  300

J
kg K

2

M e  3.12

and

m
Ve  2313
s



k 1

ce 

Ve  M e ce

Hence

2

Te  1467 K

The exit speed is

The momentum equation (Eq. 4.33) simplifies to

M

Momentum for pressure pe and velocity Ve at exit; Rx is the reaction force

k 1




k

2  p 0 
  
 1
k1
 p e 


Me 

The exit temperature is Te 

p

  1 

p atm  101  kPa

d  25 cm

From the pressures

p0

Rx  43.5 kN

ce  742

pe
ρe 
R  Te

m
s
kg
ρe  0.170
3
m

Problem 13.59

[Difficulty: 3]

Problem 13.60

[Difficulty: 3]

Problem 13.61

[Difficulty: 3]

Problem 13.62

[Difficulty: 4]

Given:

Compressed CO 2 in a cartridge expanding through a nozzle

Find:

Throat pressure; Mass flow rate; Thrust; Thrust increase with diverging section; Exit area

Solution:
Basic equations:

Assumptions: 1) Isentropic flow 2) Stagnation in cartridge 3) Ideal gas 4) Uniform flow

Given or available data:

J

k  1.29

R  188.9 

p 0  35 MPa

T0  ( 20  273 )  K
p0

From isentropic relations p crit 

k

1  k 

2

Since p b << pcrit, then

p t  p crit

Throat is critical so

mrate  ρt Vt At
Tt 

Vt 
At 

k1

d t  0.5 mm
p crit  19.2 MPa

k 1




Tt  256 K

2

k  R  Tt
π d t

p atm  101  kPa

p t  19.2 MPa

T0
1

1

kg K

m
Vt  250
s

2

4

At  1.963  10

7

pt
ρt 
R  Tt

ρt  396

mrate  ρt Vt At

kg
mrate  0.0194
s

kg
3

m

2

m

Rx  p tgage At  mrate Vt

For 1D flow with no body force the momentum equation reduces to
Rx  mrate Vt  p tgage At

p tgage  p t  p atm

Rx  8.60 N

When a diverging section is added the nozzle can exit to atmospheric pressure

p e  p atm

1
k 1







k
 2  p 0 

Me  
  
 1
 k  1  p e 


Hence the Mach number at exit is

Te 

ce 

T0
1

k1
2

 Me

2

k  R  Te

2

M e  4.334

Te  78.7 K

ce  138

m
s

m
Ve  600
s

Ve  M e ce
The mass flow rate is unchanged (choked flow)
Rx  mrate Ve

From the momentum equation

The percentage increase in thrust is

11.67  N  8.60 N
8.60 N
mrate  ρe Ve Ae

The exit area is obtained from

mrate
Ae 
ρe Ve

T

 35.7 %

and

pe
ρe 
R  Te

ρe  6.79

6

T0
pt
Tt
Conv.
Nozzle
CD
Nozzle

Te
s

kg
3

m

Ae  4.77  10

p0

pb

Rx  11.67 N

2

m

2

Ae  4.77 mm

Problem 13.63

[Difficulty: 3]

Given: Rocket motor
Find:

Nozzle exit area, velocity, and thrust generated

Solution:
The given or available data is:

R =
k =
p0 =
T0 =

70.6
1.25
175
5400

At =
pe =

1
14.7

ft-lbf/lbm-°R
psia
°R
2

in

psia

Equations and Computations:
The exit Mach number can be calculated based on the pressure ratio:
Me =
2.2647
The isentropic area ratio at this Mach number is:
*

2.4151

Ae =

2.42

A e/A =
So the nozzle exit area is:

2

in

The exit temperature can be found from the Mach number:
Te =
3290.4
°R
The sound speed at the exit is:
ce =
3057.8
ft/s
And so the exit flow speed is:
Ve =
6925.2
ft/s
The density can be calculated using the ideal gas equation of state:
3
ρ e = 0.009112 lbm/ft
The nozzle is choked, and we can use the choked flow equation:
From p 0, T 0, A t, and Eq. 13.10a

(13.10a)
m =

1.058

lbm/s

Based on the momentum equation, we can calculate the thrust generated:
Rx =
228
lbf
Note that since the flow expanded perfectly (the nozzle exit pressure is equal
to the ambient pressure), the pressure terms drop out of the thrust
calculation.

Problem 13.64

[Difficulty: 4]

Given: Rocket motor with converging-only nozzle
Find:

Nozzle exit pressure and thrust

Solution:
The given or available data is:

R =
k =
p0 =
T0 =

70.6
1.25
175
5400

At =
pb =

1
14.7

ft-lbf/lbm-°R
psia
°R
in2
psia

Equations and Computations:
If the diverging portion of the nozzle is removed, the exit Mach number is 1:
The exit Mach number can be calculated based on the pressure ratio:
Me =
1.0000
The isentropic area ratio at this Mach number is:
A e/A * =

1.0000

So the nozzle exit area is:
At =

1.00

in2

The exit temperature and pressure can be found from the Mach number:
Te =
4800.0
°R
pe =
97.1
psia
The sound speed at the exit is:
ce =
3693.2
ft/s
And so the exit flow speed is:
Ve =
3693.2
ft/s
The nozzle is choked, and we can use the choked flow equation:
From p 0, T 0, A t, and Eq. 13.9a

(13.9a)
m =

1.058

lbm/s

Based on the momentum equation, we can calculate the thrust generated:
F=
204
lbf

Problem 13.65

[Difficulty: 3]

Given: CO2 cartridge and convergent nozzle
Find:

Tank pressure to develop thrust of 15 N

Solution:
The given or available data is:

R =
k =
T0 =
pb =
Dt =

188.9
1.29
293
101
0.5

J/kg·K
K
kPa
mm

At =

0.196

mm2

Equations and Computations:

The momentum equation gives
R x = m flowV e
Hence, we need m flow and V e
For isentropic flow

pe =
pe =

pb
101

kPa

If we knew p 0 we could use it and p e, and Eq. 13.7a, to find M e.
Once M e is known, the other exit conditions can be found.
Make a guess for p 0, and eventually use Goal Seek (see below).
p0 =

44.6

MPa

From p 0 and p e, and Eq. 13.7a
(using built-in function IsenMfromp (M ,k )

(13.7a)
Me =

4.5

From M e and T 0 and Eq. 13.7b
(using built-in function IsenT (M ,k )

(13.7b)

Te =

74.5

From T e and Eq. 12.18

K
(12.18)

Then

ce =

134.8

m/s

Ve =

606

m/s

The mass flow rate is obtained from p 0, T 0, A t, and Eq. 13.10a

(13.10a)
m choked =

0.0248

kg/s

Finally, the momentum equation gives
R x = m flowV e
=
15.0
We need to set R x to 15 N. To do this use Goal Seek
to vary p 0 to obtain the result!

N

Problem 13.66

Given:

Normal shock due to explosion

Find:

Shock speed; temperature and speed after shock

[Difficulty: 3]

V
Shock speed Vs

Shift coordinates:  (Vs – V)

 (Vs)

Solution:
Basic equations:

2

M2 

p2
p1



k1

V  M  c  M  k  R T

2 k

2


 k  1   M1  1



2 k

2

k1

Given or available data

k  1.4

From the pressure ratio

M1 

Then we have

Shock at rest

2

2

M1 

 M1 

k1
k  1
2 
2

 1  2  M1    k M1  2 




T1
2
 k  1  M 2
 2  1


T2

k1
k1

R  286.9 

J
kg K

 k  1    p2  k 
 2 k  

  p1 k 

1
1




k1
k
2 
2

 1  2  M1    k M1  2


T2  T1 
2
 k  1  M 2
 2  1


2

M2 

M1 

p 2  30 MPa

T2  14790 K

T2  14517  °C

1




2
k1

M 2  0.382

 2 k   M 2  1
k  1 1


V1  M 1  k  R T1

m
V1  5475
s

After the shock (V2) the speed is

V2  M 2  k  R T2

m
V2  930
s

V  Vs  V2

V  4545

V2  Vs  V

T1  ( 20  273 )  K

M 1  16.0

Then the speed of the shock (Vs = V1) is

But we have

p 1  101  kPa

Vs  V1

m
s

These results are unrealistic because at the very high post-shock temperatures experienced, the specific heat
ratio will NOT be constant! The extremely high initial air velocity and temperature will rapidly decrease as the
shock wave expands in a spherical manner and thus weakens.

m
Vs  5475
s

Problem 13.67

[Difficulty: 2]

Given: Standing normal shock
Find:

Pressure and temperature ratios; entropy increase

Solution:
R =
cp =
k =
M1 =

286.9
1004
1.4
1.75

p 2/p 1 =

3.41

T 2/T 1 =
The entropy increase across the shock is:
Δs =

1.495

The given or available data is:

J/kg-K
J/kg-K

Equations and Computations:
The pressure ratio is:
The tempeature ratio is:

51.8

J/kg-K

Problem 13.68

[Difficulty: 3]

Given: Air flowing into converging duct, normal shock standing at duct exit
Find:

Mach number at duct entrance, duct area ratio

Solution:
The given or available data is:

R =
cp =
k =
M3 =
p 2/p 1 =

286.9
1004
1.4
0.54
2

J/kg-K
J/kg-K

Equations and Computations:
For the given post-shock Mach number, there can be only one Mach number
upstream of the shock wave:
M2 =
2.254
M3 =
0.5400
(We used Solver to match the post-shock Mach number by varying M 2.)
The stagnation pressure is constant in the duct:
p 0/p 2 =
11.643
p 0/p 1 =
23.285
So the duct entrance Mach number is:
M1 =
2.70
The isentropic area ratios at stations 1 and 2 are:
A 1/A * =
*

3.1832

A 2/A =

2.1047

A 1/A 2 =

1.512

So the duct area ratio is:

Problem 13.69

[Difficulty: 2]



Given:

Normal shock near pitot tube

Find:

Air speed



Solution:
Basic equations:

k



p 1  p 2  ρ1  V1  V2  V1



Given or available data T1  285  R

p
p 1  1.75 psi

k  1.4

Rair  53.33 
k 1




k
p




2
02
 
 1

k1
 p 2 


At state 2

M2 

From momentum

p 1  p 2  ρ2  V2  ρ1  V1

2

2

M1 

Also

c1 

Then

2


 p2 
2
 1  k  M 2   1


k p1


1



k  Rair T1

k1



2

M

2

p 02  10 psi

k 1




p 2  8  psi

ft lbf
lbm R

2

2

2

but

ρ V  ρ c  M 

or

p1  1  k M1



p

2

R T

 k  R  T M  k  p  M

2

2

2

  p2  1  k M2 

M 1  2.01

c1  827 

ft
s

ft
V1  1666
s

V1  M 1  c1

ft
V1  1822
s

Note: With p1 = 1.5 psi we obtain

(Using normal shock functions, for

  1 

M 2  0.574

2

p1  p2  k p2 M2  k p1 M1

Hence

p0

(Momentum)

p2
p1

 4.571 we find

M 1  2.02

M 2  0.573 Check!)

Problem 13.70

[Difficulty: 3]

Given:

C-D nozzle with normal shock

Find:

Mach numbers at the shock and at exit; Stagnation and static pressures before and after the shock
k 1

Solution:
 1  k  1  M2 

2
A
1 
Basic equations: Isentropic flow



k 1
Acrit
M


2



2

M2 

Normal shock

Given or available data

p2

k1

 2 k   M 2  1
k  1 1



k  1.4

Rair  53.33 
2

At  1.5 in

k

p0

p1

k1

  1 



p

2

M

2

k 1




k

 k  1 M 2 
1


2


k1
2
1 
 M1 
2



2

2

M1 

2 ( k 1)



2 k
k1

2

 M1 

k1

p 02

k1

p 01



1

 2 k  M 2  k 
k  1 1
k

ft lbf

lbm R

2

As  2.5 in

k 1

p 01  125  psi

T0  ( 175  460 )  R

(Shock area)

Ae  3.5 in

1

k 1


1

2

Because we have a normal shock the CD must be accelerating the flow to supersonic so the throat is at critical state.
Acrit  At

At the shock we have

As
Acrit

k 1

 1.667

At this area ratio we can find the Mach number before the shock from the
isentropic relation

 1  k  1 M 2 
1 
2
1 



k 1
Acrit
M1


2



2 ( k 1)

As

Solving iteratively (or using Excel's Solver, or even better the function isenMsupfromA from the Web site!)

M 1  1.985

The stagnation pressure before the shock was given:

p 01  125  psi

The static pressure is then

p1 

p 01
k
k 1
 1  k  1  M 2

1 
2



p 1  16.4 psi

2

After the shock we have

M2 

M1 

2
k1

M 2  0.580

2 k

2


 k  1   M1  1


k

Also

 k  1 M 2 
1


2


k1
2
1 
 M1 
2


p 02  p 01
 2 k  M 2  k 
k  1 1
k


and

k 1

1

p 02  91.0 psi

1
k 1


1

2 k
k  1
2
p 2  p 1  
 M1 

k

1
k  1


p 2  72.4 psi

Finally, for the Mach number at the exit, we could find the critical area change across the shock; instead
we find the new critical area from isentropic conditions at state 2.


 1  k  1 M 2 
2 

2
Acrit2  As M 2  

k 1


2



At the exit we have

Ae
Acrit2

k 1
2 ( k 1)
2

Acrit2  2.06 in

 1.698

At this area ratio we can find the Mach number before the shock from the
isentropic relation

k 1

 1  k  1 M 2 
e 
2
1 



k 1
Acrit2
Me


2



2 ( k  1)

Ae

Solving iteratively (or using Excel's Solver, or even better the function isenMsubfromA from the Web site!)

These calculations are obviously a LOT easier using the Excel functions available on the Web site!

M e  0.369

Problem 13.71

[Difficulty: 2]

Problem 13.72

[Difficulty: 2]

Problem 13.73

[Difficulty: 3]

Given: Pitot probe used in supersonic wind tunnel nozzle
Find:

Pressure measured by pitot probe; nozzle exit velocity

Solution:
The given or available data is:

R =
k =
M1 =
p1 =
T0 =

286.9
1.4
5
10
1450

J/kg-K

kPa
K

Equations and Computations:
Downstream of the normal shock wave, the Mach number is:
M2 =
0.4152
The static and stagnation pressure ratios are:
p 2/p 1 =
29.000
p 02/p 01 =
0.06172
So the static pressure after the shock is:
p2 =
290
kPa
The pitot pressure, however, is the stagnation pressure:
p 02/p 2 =
1.12598
p 02 =
327
kPa
The static temperature at the nozzle exit can be calculated:
T 01/T 1 =
6.000
T1 =
241.67
K
At the nozzle exit the sound speed is:
c2 =
311.56
m/s
Therefore the flow velocity at the nozzle exit is:
V2 =
1558
m/s

Problem 13.74

[Difficulty: 3]

Given: Air approaching a normal shock
Find:

Pressure and velocity after the shock; pressure and velocity if flow were
decelerated isentropically

Solution:
The given or available data is:

R =
k =
V1 =
p1 =
T1 =

286.9
1.4
900
50
220

J/kg-K

c1 =

297.26

m/s

m/s
kPa
K

Equations and Computations:
The sonic velocity at station 1 is:
So the Mach number at 1 is:
M1 =
3.028
Downstream of the normal shock wave, the Mach number is:
M2 =
0.4736
The static pressure and temperature ratios are:
p 2/p 1 =
10.528
T 2/T 1 =
2.712
So the exit temperature and pressure are:
p2 =
526
kPa
T2 =
596.6
K
At station 2 the sound speed is:
c2 =
489.51
m/s
Therefore the flow velocity is:
V2 =
232
m/s
If we decelerate the flow isentropically to
M 2s =
0.4736
The isentropic pressure ratios at station 1 and 2s are:
p 0/p 1 =
38.285
p 0/p 2s =
1.166
p 2s/p 1 =
32.834
So the final pressure is:
p 2s =
1642
The temperature ratios are:
T 0/T 1 =
2.833
T 0/T 2s =
1.045
T 2s/T 1 =
2.712
So the final temperature is:
596.6
T 2s =
The sonic velocity at station 2s is:
c 2s =
489.51
Therefore the flow velocity is:
V 2s =
232

kPa

K
m/s
m/s

Problem 13.75

[Difficulty: 3]

Given: Air accelerating through a converging-diverging nozzle, passes through a normal shock
Find:

Mach number before and after shock; entropy generation

Solution:
The given or available data is:

R =
k =
p 01 =
T 01 =
T 01 =

53.33
1.4
150
400
860

ft-lbf/lbm-°R
psia
°F
°R

At =

3

in2

A1 = A2 =

6

in2

Equations and Computations:
The isentropic area ratio at the station of interest is:
A 1/A 1* =

2.00

So the Mach number at 1 is:
M1 =
2.20
Downstream of the normal shock wave, the Mach number is:
M2 =
0.547
The total pressure ratio across the normal shock is:
p 02/p 01 =
0.6294
Since stagnation temperature does not change across a normal shock,
the increase in entropy is related to the stagnation pressure loss only:
ft-lbf/lbm-°R
Δs 1-2 =
24.7
Btu/lbm-°R
Δs 1-2 =
0.0317

Problem 13.76

[Difficulty: 2]

Given: Normal shock
Find:

Speed and temperature after shock; Entropy change

Solution:
R =
k =
cp =

The given or available data is:

53.33
1.4
0.2399

T 01 =
p1 =
M1 =

1250
20
2.5

1 =

0.0432

V1 =

4334

T 01 /T 1 =

2.25

ft·lbf/lbm·R

0.0685

Btu/lbm·R

Btu/lbm·R
o

R

psi

Equations and Computations:
From

p1  1 RT1

slug/ft3
ft/s

Using built-in function IsenT (M,k):
T1 =

o

R

o

F

o

R

728

o

F

143

psi

556
96

Using built-in function NormM2fromM (M,k):
M2 =

0.513

Using built-in function NormTfromM (M,k):
T 2 /T 1 =

Using built-in function NormpfromM (M,k):
p 2 /p 1 =
From

V 2  M 2 kRT 2

From

T
 s  c p ln  2
 T1

2.14

T2 =

7.13

V2 =

867

s =

0.0476
37.1

p2 =
ft/s


p 
  R ln  2 

 p1 

Btu/lbm·R
ft·lbf/lbm·R

1188

Problem 13.77

[Difficulty: 2]

Problem 13.78

[Difficulty: 2]

Given: Normal shock
Find:

Pressure after shock; Compare to isentropic deceleration

Solution:
R =
k =
T 01 =
p 01 =
M1 =

286.9
1.4
550
650
2.5

Using built-in function Isenp (M,k):
p 01 /p 1 =

17.09

Using built-in function NormM2fromM (M,k):
M2 =

0.513

Using built-in function NormpfromM (M,k):
p 2 /p 1 =

7.13

Using built-in function Isenp (M,k) at M 2:
p 02 /p 2 =

1.20

The given or available data is:

J/kg·K
K
kPa

Equations and Computations:

But for the isentropic case:
Hence for isentropic deceleration:

p1 =

38

kPa

p2 =

271

kPa

p2 =

543

kPa

p 02 = p 01

Problem 13.79

[Difficulty: 2]

Given: Normal shock
Find:

Speed and Mach number after shock; Change in stagnation pressure

Solution:
The given or available data is:

R =
k =

53.33
1.4

T1 =
p1 =
V1 =

445
5
2000

c1 =
M1 =

1034
2.84

ft·lbf/lbm·R
o

0.0685

Btu/lbm·R

R

psi
mph

2933

ft/s

793

ft/s

Equations and Computations:
From
Then

c1  kRT1

Using built-in function NormM2fromM (M,k):
M2 =

0.486

Using built-in function NormdfromM (M,k):
 2 / 1 =

3.70

Using built-in function Normp0fromM (M,k):
p 02 /p 01 =

0.378

Then

V2 

1
V
2 1

V2 =

541

Using built-in function Isenp (M,k) at M 1:
p 01 /p 1 =

28.7

ft/s

mph

From the above ratios and given p 1:
p 01 =
p 02 =
p 01 – p 02 =

143
54.2
89.2

psi
psi
psi

Problem 13.80

[Difficulty: 2]

Given: Normal shock
Find:

Speed; Change in pressure; Compare to shockless deceleration

Solution:
The given or available data is:

R =
k =

53.33
1.4

T1 =
p1 =
V1 =

452.5
14.7
1750

c1 =
M1 =

1043
2.46

ft·lbf/lbm·R
o

0.0685

Btu/lbm·R

R

psi
mph

2567

ft/s

p2 =

101

psi

p2 – p1 =

86.7

psi

781

ft/s

p2 =

197

psi

p2 – p1 =

182

psi

Equations and Computations:
From
Then

c1  kRT1

Using built-in function NormM2fromM (M,k):
M2 =

0.517

Using built-in function NormdfromM (M,k):
 2 / 1 =

3.29

Using built-in function NormpfromM (M,k):
p 2 /p 1 =

6.90

Then

V2 

1
V
2 1

V2 =

532

Using built-in function Isenp (M,k) at M 1:
p 01 /p 1 =

16.1

Using built-in function Isenp (M,k) at M 2:
p 02 /p 2 =

1.20

From above ratios and p 1, for isentropic flow (p 0 = const):

ft/s

mph

Problem 13.81

[Difficulty: 2]

Problem 13.82

[Difficulty: 2]

Problem 13.83

[Difficulty: 2]

Problem 13.84

[Difficulty: 3]

Given: Stagnation pressure and temperature probes on the nose of the Hyper-X
Find:

Pressure and temperature read by those probes

Solution:
The given or available data is:

R =
k =
M1 =
z=
z=
p SL =
T SL =

53.33
1.4
9.68
110000
33528
14.696
518.76

ft-lbf/lbm-°R

ft
m
psia
°R

Equations and Computations:
At this altitude the local pressure and temperature are:
p 1/p SL =
0.008643
p1 =
0.12702
psia
°R
T1 =
422.88
The stagnation pressure and temperature at these conditions are:
p 01/p 1 = 34178.42
p 01 =
4341.36
psia
T 01/T 1 =
19.74
°R
T 01 =
8347.81
Downstream of the normal shock wave, the Mach number is:
M2 =
0.3882
The total pressure ratio across the normal shock is:
p 02/p 01 = 0.003543
So the pressure read by the probe is:
p 02 =
15.38
psia
Since stagnation temperature is constant across the shock, the probe reads:
°R
T 02 =
8348

Problem 13.85

Given:

Normal shock

Find:

Rankine-Hugoniot relation

[Difficulty: 4]

Solution:
Basic equations:

2

Momentum:

p 1  ρ1  V1  p 2  ρ2  V2

Energy:

h1 

2

1

1
2
2
 V1  h 2   V2
2
2









Mass:

ρ1  V1  ρ2  V2

Ideal Gas:

p  ρ R T

2

2





From the energy equation

2  h 2  h 1  2  cp  T2  T1  V1  V2  V1  V1  V1  V2

From the momentum equation

p 2  p 1  ρ1  V1  ρ2  V2  ρ1  V1  V1  V2

Hence

Using this in Eq 1

2



2





(1)

where we have used the mass equation

p2  p1
V1  V2 
ρ1  V1
p2  p1
p2  p1 
V2  p 2  p 1 
ρ1 
1
1
2  c p  T2  T1 
 V1  V2 
1 

1 
 p 2  p 1  



ρ1  V1
ρ1
ρ1
V1
ρ2




 ρ1 ρ2













where we again used the mass equation
Using the ideal gas equation

 p2

2  cp  



 ρ2  R


1
1 
  p 2  p 1   



ρ1  R

 ρ1 ρ2 
p1

Dividing by p 1 and multiplying by ρ2, and using R = c p - cv, k = cp/cv
2

Collecting terms

cp
R

p2
p1

 p2



 p1

 2 k



k  1
2 k

p2
p1

For an infinite pressure ratio



ρ2 

ρ2   p 2
  ρ2

k  p2
 2



 1  
 1


ρ1
k  1 p1
ρ1


  p1
  ρ1




ρ2 



ρ2

k  1 ρ1



ρ2
ρ1

 2 k
k  1  1 


( k  1)  ( k  1)

2 k

ρ2

ρ2

  k  1ρ  ρ  1
ρ1
1
1


1

ρ2
ρ1

1

ρ2 


ρ1

0



( k  1 ) ρ2

1
( k  1 ) ρ1
( k  1)
( k  1)
or



ρ2

or

p2
p1

( k  1)


ρ1

ρ1

 ( k  1)

( k  1)  ( k  1)

ρ1
ρ2

ρ2



k1
k1

ρ2
ρ1

(= 6 for air)

Problem 13.86

[Difficulty: 3]

Problem 13.87

[Difficulty: 3]

Problem 13.88

[Difficulty: 3]

Problem 13.89

[Difficulty: 4]

Problem 13.90

[Difficulty: 3]

Problem 13.91

[Difficulty: 4]

Given: Air flowing through a wind tunnel, stagnation and test section conditions known
Find:

Throat area, mass flow rate, static conditions in test section, minumum diffuser area

Solution:
The given or available data is:

R =
k =
p 01 =
T 01 =
T 01 =

53.33
1.4
14.7
75
535

A1 =
M1 =

1
2.3

ft-lbf/lbm-°R
psia
°F
°R
ft2

A schematic of this wind tunnel is shown here:

Equations and Computations:
For the Mach number in the test section, the corresponding area ratio is:
A 1/A 1* =

2.193

So the throat area is:
ft2
0.456
At =
The mass flow rate can be calculated using the choked flow equation:
m=
22.2
lbm/s
The static conditions in the test section are:
p 01/p 1 =
12.5043
2.0580
T 01/T 1 =
1.176
psia
p1 =
°R
T1 =
260
The strongest possible shock that can occur downstream of the first throat is when
the shock wave is in the test section. The post-shock Mach number is then
M2 =
0.5344
The area ratio corresponding to this Mach number is:
A 2/A 2* =
Therefore, the minimum diffuser throat area is
A 2* =

1.2792
0.782

ft2

Problem 13.92

[Difficulty: 2]

Problem 13.93

[Difficulty: 3]

Problem 13.94

[Difficulty: 2]

Problem 13.95

[Difficulty: 2]

Problem 13.96

[Difficulty: 2]

Problem 13.97

[Difficulty: 3]

Given: Air accelerating through a converging-diverging nozzle
Find:

Pressure ratios needed to operate with isentropic flow throughout, supersonic flow at
exit (third critical); isentropic flow throughout, subsonic flow at exit (first critical point);
and isentropic flow throughout, supersonic flow in the diverging portion, and a normal
shock at the exit (second critical point).

Solution:
The given or available data is:

k =
Md =

1.4
2.5

Equations and Computations:
The pressure ratio for the third critical can be found from the design point Mach number:
p 0inlet/p b,3rd =
17.0859
p b,3rd/p 0inlet =
0.0585
The area ratio for this nozzle is:
A /A * =
2.637
So to operate at first critical the exit Mach number would be:
M 1st =
0.226
Since at first critical the flow is isentropic, the pressure ratio is:
p 0inlet/p b,1st =
1.0363
0.9650
p b,1st/p 0inlet =
At second critical, the flow is isentropic to the exit, followed by a normal shock.
At the design Mach number, the pressure ratio is:
p b,2nd/p b,3rd =
7.125
Therefore, the back pressure ratio at the second critical is:
0.4170
p b,2nd/p 0inlet =
p b,1st/p 0inlet =
p b,2nd/p 0inlet =
p b,3rd/p 0inlet =

0.9650
0.4170
0.0585

Problem 13.98

[Difficulty: 3]

Given: Oxygen accelerating through a converging-diverging nozzle
Find:

Pressure ratios for critical points, show that a shock forms in the nozzle, pre- and postshock Mach numbers, exit Mach number

Solution:
The given or available data is:

R =
k =
p 0inlet =
pb =
A e/A t =

48.29
1.4
120
50
3

ft-lbf/lbm-°R
psia
psia

Equations and Computations:
Based on the area ratio, the design Mach number is:
Md =
2.637
The pressure ratio for the third critical can be found from the design point Mach number:
21.1422
p 0inlet/p b,3rd =
p b,3rd/p 0inlet =
0.04730
If a normal shock exists in the nozzle, the pressure ratio should be between the
first and second critical points. At the first critical point the exit Mach number is
0.197
M 1st =
Since at first critical the flow is isentropic, the pressure ratio is:
1.0276
p 0inlet/p b,1st =
p b,1st/p 0inlet =
0.9732
At second critical, the flow is isentropic to the exit, followed by a normal shock.
At the design Mach number, the pressure ratio is:
p b,2nd/p b,3rd =
7.949
Therefore, the back pressure ratio at the second critical is:
p b,2nd/p 0inlet =
0.3760
The actual back pressure ratio is
0.4167
p b/p 0inlet =

This pressure ratio is between those for the first and second critical points, so a shock
exists in the nozzle. We need to use an iterative solution to find the exact location of
the shock wave. Specifically, we iterate on the pre-shock Mach number until we match
the exit pressure to the given back pressure:
M1 =
2.55
A 1/A t =
2.759
p 0inlet/p 1 =
18.4233
p1 =
6.513
psia
M2 =
0.508
p 2/p 1 =
7.4107
p2 =
48.269
psia
A e/A 2 =
1.0873
A 2/A 2* =
*

A e/A 2 =
Me =
p 02/p 2 =
p 02/p e =
pe =
(We used Goal Seek in Excel for this solution.)

1.324
1.440
0.454
1.193
1.152
50.000

psia

Problem 13.99

[Difficulty: 2]

Problem 13.100

[Difficulty: 3]

Given: Normal shock in CD nozzle
Find:

Exit pressure; Throat area; Mass flow rate

Solution:
The given or available data is:

R =
k =
T 01 =
p 01 =
M1 =

286.9
1.4
550
700
2.75

A1 =

25

cm2

Ae =

40

cm2

J/kg·K
K
kPa

Equations and Computations (assuming State 1 and 2 before and after the shock):

Using built-in function Isenp (M,k):
p 01 /p 1 =

25.14

p1 =

28

kPa

Using built-in function IsenT (M,k):
T 01 /T 1 =

2.51

T1 =

219

K

3.34

A 1* = A t =

7.49

cm2

284

kPa

Using built-in function IsenA (M,k):
A 1 /A 1* =
Then from the Ideal Gas equation:

Also:
So:
Then the mass flow rate is:

1 =

0.4433

c1 =
V1 =

297
815

m rate =
m rate =

kg/m3
m/s
m/s

 1 V 1A 1
0.904

kg/s

For the normal shock:
Using built-in function NormM2fromM (M,k):
M2 =

0.492

Using built-in function Normp0fromM (M,k) at M 1:
p 02 /p 01 =
0.41

p 02 =

For isentropic flow after the shock:
Using built-in function IsenA (M,k):
But:
Hence:

A 2 /A 2* =
A2 =

1.356
A1

A 2* =

18.44

cm2

Using built-in function IsenAMsubfromA (Aratio,k):
A e /A 2* =

2.17

Me =

0.279

Using built-in function Isenp (M,k):
p 02 /p e =

1.06

pe =

269

For:

kPa

Problem 13.101

[Difficulty: 2]

Problem 13.102

[Difficulty: 3]

Problem 13.103

[Difficulty: 3]

Problem 13.104

[Difficulty: 3]

Problem 13.105

[Difficulty: 3]

Problem 13.106

[Difficulty: 3]

Problem 13.107

[Difficulty: 3]

Problem 13.108

[Difficulty: 4]

Problem 13.109

[Difficulty: 3]

Given: Air flowing through a converging-diverging nozzle with standing normal shock
Find:

Exit Mach number and static pressure; design point pressure

Solution:
The given or available data is:

R =
k =
p 0inlet =
T 01 =
T 01 =
A e/A t =
A 1/A t =

53.33
1.4
150
200
660
1.76
1.2

ft-lbf/lbm-°R
psia
°F
°R

Equations and Computations:
The pre-shock Mach number can be found based on the area ratio:
1.5341
M1 =
The static pressure before the shock wave is:
3.8580
p 0inlet/p 1 =
p1 =
38.881
psia
The Mach number and static pressure after the shock wave are:
M2 =
0.689
p 2/p 1 =
2.5792
p2 =
100.282
psia
The area ratio for the remainder of the nozzle is:
A e/A 2 =
1.4667
Based on this and the post-shock Mach number, we can determine
the exit Mach number:
A 2/A 2* =
*

A e/A 2 =
Me =

1.102
1.617
0.392

Therefore the exit pressure is:
p 02/p 2 =
1.374
p 02/p e =
1.112
pe =
123.9
psia
Based on the area ratio, the design Mach number is:
Md =
2.050
The pressure ratio for the third critical can be found from the design point Mach number:
8.4583
p 0inlet/p b,3rd =
p b,3rd/p 0inlet =
0.1182
So the design pressure is:
pd =
17.73
psia

Problem 13.110

[Difficulty: 4]

Problem 13.111

[Difficulty: 3]

Problem 13.112

[Difficulty: 5]

Given: Air flowing through a converging-diverging nozzle followed by duct with friction
Find:

Back pressure needed for (a) normal shock at nozzle exit, (b) normal shock at duct exit,
(c) back pressure for shock-free flow

Solution:
The given or available data is:

R =
k =
p 0inlet =
T 0inlet =
A e/A t =
L/D =
f=

286.9
1.4
1
320
2.5
10
0.03

J/kg-K
MPa
K

Equations and Computations:
(a) For a shock wave at the nozzle exit:
The pre-shock Mach number can be found based on the area ratio:
M1 =
2.4428
The static pressure before the shock wave is:
15.6288
p 0inlet/p 1 =
p1 =
63.984
kPa
The Mach number and static pressure after the shock wave are:
M2 =
0.5187
p 2/p 1 =
6.7950
p2 =
434.770
kPa
The friction length and critical pressure ratio after the shock wave are:
fL/D 2 =
0.9269
p 2/p 2* =

2.0575

The friction length for the duct is:
fL/D 2-3 =
0.3000
Therefore, the friction length at the duct exit is:
fL/D 3 =
0.6269
Iterating on Mach number with Solver to match this friction length yields:
M3 =
0.5692
fL/D 3 =
0.6269
The critical pressure ratio for this condition is:
1.8652
p 3/p 3* =
Since the critical pressure at 2 and 3 are equal, the back pressure is:
394
kPa
pb = p3 =

(b) For a shock wave at the duct exit:
We use the same nozzle exit Mach number and pressure:
M1 =
2.443
p1 =
63.984
kPa
The friction length and critical pressure ratio at this condition are:
fL/D 1 =
0.4195
p 1/p 1* =

0.3028

The friction length for the duct is:
fL/D 1-2 =
0.3000
Therefore, the friction length at the duct exit is:
fL/D 2 =
0.1195
Iterating on Mach number with Solver to match this friction length yields:
M2 =
1.4547
fL/D 2 =
0.1195
The critical pressure ratio for this condition is:
p 2/p 2* =
0.6312
Since the critical pressure at 1 and 2 are equal, the pressure is:
p2 =
133.388
kPa
The Mach number and static pressure after the shock wave are:
M3 =
0.7178
p 3/p 2 =
2.3021
pb = p3 =
307
kPa
(c) For shock-free flow, we use the conditions from part b before the shock wave:
133.4
kPa
pb = p3 =

Problem 13.113

[Difficulty: 4]

Given: Air flowing through a converging-diverging nozzle followed by diabatic duct
Find:

Mach number at duct exit and heat addition in duct

Solution:
The given or available data is:

R =
cp =
k =
p 0inlet =
T 0inlet =
A 1/A t =
Te =

286.9
1004
1.4
1
320
2.5
350

J/kg-K
J/kg-K
MPa
K
K

Equations and Computations:
The Mach number at the nozzle exit can be found based on the area ratio:
2.4428
M1 =
The static temperature is:
T 0inlet/T 1 =
2.1934
T1 =
145.891
K
The Rayliegh flow critical ratios at this condition are:
T 1/T 1* =

0.39282

*

T 01/T 01 =
0.71802
Since all we know is the static temperature at the exit, we need to iterate on
a solution. We can guess at a pre-shock Mach number at the duct exit, and
iterate on that value until we match the exit temperature:
M2 =
1.753
T 2/T 2* =
*

0.62964

T 02/T 02 =
0.84716
T2 =
233.844
K
T 02 =
377.553
K
M3 =
0.6274
T 3/T 2 =
1.4967
T3 =
350.000
K
In this case we used Solver to match the exit temperature.
Therefore, the exit Mach number is:
M3 =
0.627
The rate of heat addition is calculated from the rise in stagnation temperature:
q 1-2 =
57.78
kJ/kg

Problem 13.114

[Difficulty: 2]

Problem 13.115

[Difficulty: 5]

Problem 13.116

[Difficulty: 4]

Problem 13.117

[Difficulty: 2]

Given: Nitrogen traveling through duct
Find:

Inlet pressure and mass flow rate

Solution:
The given or available data is:

R =
k =
D =
M2 =
T2 =
p2 =
T1 =

296.8
1.4
30
0.85
300
200
330

J/kg-K
cm
K
kPa
K

Equations and Computations:
We can find the critical temperature and pressure for choking at station 2:
T 2/T * =

1.0485

*

T =

286.1

*

1.2047

p 2/p =

K

*

p =
166.0
kPa
Knowing the critical state, the Mach number at station 1 can be found:
(we will use Goal Seek to match the Mach number)
T 1/T * =
M1 =

1.1533
0.4497

T 1/T * =
1.1533
The static to critical pressure ratio is a function of Mach number. Therefore:
p1 =
396
kPa
The sound speed at station 1 is:
c1 =

370.30

m/s

So the velocity at 1 is:
V1 =
166.54
m/s
The density at 1 can be calculated from the ideal gas equation of state:
kg/m3
ρ1 =
4.0476
The area of the duct is:
A =

0.0707

m2

m =

47.6

kg/s

So the mass flow rate is:

Problem 13.118

[Difficulty: 2]



Given:

Air flow in an insulated duct

Find:

Mass flow rate; Range of choked exit pressures



k 1

Solution:
T0

Basic equations:

T
Given or available data

1

k1
2

M

2

c

2 ( k 1)
 1  k  1  M2 

2
A
1 



k 1
Acrit
M


2



k R T

T0  ( 80  460 )  R

p 0  14.7 psi

k  1.4

Rair  53.33 

p 1  13 psi
ft lbf
lbm R

D  1  in

2

A 

π D

2

A  0.785  in

4

Assuming isentropic flow, stagnation conditions are constant. Hence

M1 

k 1




k
p




2
0
  
 1
k1
 p1 


c1 
Also

M 1  0.423

k  Rair T1

c1  341

p1
ρ1 
Rair T1

m
s

ρ1  0.0673

mrate  ρ1  V1  A

When flow is choked

M 2  1 hence

We also have

c2 

From continuity

ρ1  V1  ρ2  V2

k  Rair T2

1

k1
2

 M1

2

T1  521  R

V1  M 1  c1

m
V1  144
s

T2  450  R

T2  9.7 °F

V2  c2

ft
V2  1040
s

T1  61.7 °F

3

lbm
mrate  0.174 
s
T0
T2 
k1
1
2
ft
c2  1040
s
V1
ρ2  ρ1 
V2

p 2  ρ2  Rair T2

T0

lbm
ft

Hence

Hence

T1 

ρ2  0.0306

lbm
ft

3

p 2  5.11 psi

The flow will therefore choke for any back pressure (pressure at the exit) less than or equal to this pressure
(From Fanno line function

p1
p crit

 2.545

at

M 1  0.423

so

p crit 

p1
2.545

p crit  5.11 psi Check!)

Problem 13.119

[Difficulty: 4]

Given: Air flow from converging nozzle into pipe
Find:

Plot Ts diagram and pressure and speed curves

Solution:
The given or available data is:

R =
k =

53.33
1.4

ft·lbf/lbm·oR

cp =

0.2399

Btu/lbm· R

187
T0 =
p0 =
pe =

710
25
24

Me=

0.242

Using built-in function IsenT (M ,k )

Te =

702

Using p e, M e, and function Fannop (M ,k )

p* =

5.34

Using T e, M e, and function FannoT (M ,k )

T* =

592

Equations and Computations:
From p 0 and p e, and Eq. 13.7a
(using built-in function IsenMfromp (M ,k ))

o

o

ft·lbf/lbm· R
R
psi
psi

o

o

R

psi
o

R

We can now use Fanno-line relations to compute values for a range of Mach numbers:

M

T /T *

0.242
0.25
0.26
0.27
0.28
0.29
0.3
0.31
0.32
0.33
0.34
0.35
0.36
0.37
0.38
0.39
0.4
0.41
0.42
0.43
0.44
0.45

1.186
1.185
1.184
1.183
1.181
1.180
1.179
1.177
1.176
1.174
1.173
1.171
1.170
1.168
1.166
1.165
1.163
1.161
1.159
1.157
1.155
1.153

o

c (ft/s)

702
701
701
700
699
698720
697
697700
696
695680
694
660
o 693
T ( R)
692640
691
690620
689
600
688
687580
686
0
685
684
682

1299
1298
1298
1297
1296
1296
1295
1294
1293
1292
1292
1291
1290
1289
1288
1287
1286
1285
1284
1283
1282
1281

T ( R)

V (ft/s)

p /p *

p (psi)

315
4.50
24.0
325
4.35
23.2
337
4.19
22.3
350 Ts Curve
4.03 (Fanno)
21.5
363
3.88
20.7
376
3.75
20.0
388
3.62
19.3
401
3.50
18.7
414
3.39
18.1
427
3.28
17.5
439
3.19
17.0
452
3.09
16.5
464
3.00
16.0
477
2.92
15.6
489
2.84
15.2
502
2.77
14.8
514
2.70
14.4
527
2.63
14.0
539
2.56
13.7
10
20
30
552
2.50
13.4
.
o
s (ft lbf/lbm
564
2.44
13.0R)
576
2.39
12.7

s
o
(ft·lbf/lbm· R
) Eq. (12.11b)
0.00
1.57
3.50
5.35
7.11
8.80
10.43
11.98
13.48
14.92
16.30
17.63
18.91
20.14
21.33
22.48
23.58
24.65
25.68
26.67
27.63
28.55

40

50

0.46
0.47
0.48
0.49
0.5
0.51
0.52
0.53
0.54
0.55
0.56
0.57
0.58
0.59
0.6
0.61
0.62
0.63
0.64
0.65
0.66
0.67
0.68
0.69
0.7
0.71
0.72
0.73
0.74
0.75
0.76
0.77
0.78
0.79
0.8
0.81
0.82
0.83
0.84
0.85
0.86
0.87
0.88
0.89
0.9
0.91
0.92
0.93
0.94
0.95
0.96
0.97
0.98
0.99
1

1.151
1.149
1.147
1.145
1.143
1.141
1.138
1.136
1.134
1.132
1.129
1.127
1.124
1.122
1.119
1.117
1.114
1.112
1.109
1.107
1.104
1.101
1.098
1.096
1.093
1.090
1.087
1.084
1.082
1.079
1.076
1.073
1.070
1.067
1.064
1.061
1.058
1.055
1.052
1.048
1.045
1.042
1.039
1.036
1.033
1.029
1.026
1.023
1.020
1.017
1.013
1.010
1.007
1.003
1.000

681
1280
589
2.33
12.4
29.44
680
1279
601
2.28
12.2
30.31
679
1277
613
2.23
11.9
31.14
Velocity
V 2.18
Versus M11.7
(Fanno) 31.94
677
1276
625
676
1275
638
2.14
11.4
32.72
675 1400
1274
650
2.09
11.2
33.46
674
1273
662
2.05
11.0
34.19
672 1200
1271
674
2.01
10.7
34.88
671
1270
686
1.97
10.5
35.56
669 1000
1269
698
1.93
10.3
36.21
668
1267
710
1.90
10.1
36.83
800
667
1266
722
1.86
9.9
37.44
V (ft/s)
665 600
1265
733
1.83
9.8
38.02
664
1263
745
1.80
9.6
38.58
662 400
1262
757
1.76
9.4
39.12
661
1260
769
1.73
9.2
39.64
659 200
1259
781
1.70
9.1
40.14
658
1258
792
1.67
8.9
40.62
0
656
1256
804
1.65
8.8
41.09
0.2
0.3
0.4
0.5
0.6
0.7
0.8
655
1255
815
1.62
8.6
41.53
M 8.5
653
1253
827
1.59
41.96
652
1252
839
1.57
8.4
42.37
650
1250
850
1.54
8.2
42.77
648
1248
861
1.52
8.1
43.15
647
1247
873
1.49
8.0
43.51
645
1245
884
Pressure
p 1.47
Versus M7.8
(Fanno) 43.85
643
1244
895
1.45
7.7
44.18
642 30
1242
907
1.43
7.6
44.50
640
1240
918
1.41
7.5
44.80
638 25
1239
929
1.38
7.4
45.09
636
1237
940
1.36
7.3
45.36
635
1235
951
1.35
7.2
45.62
20
633
1234
962
1.33
7.1
45.86
631
1232
973
1.31
7.0
46.10
p (psi) 15
629
1230
984
1.29
6.9
46.31
628
1228
995
1.27
6.8
46.52
10
626
1227
1006
1.25
6.7
46.71
624
1225
1017
1.24
6.6
46.90
5
622
1223
1027
1.22
6.5
47.07
620
1221
1038
1.20
6.4
47.22
0
619
1219
1049
1.19
6.3
47.37
0.2
0.3
0.4
0.5
0.6
0.7
0.8
617
1218
1059
1.17
6.3
47.50
M 6.2
615
1216
1070
1.16
47.63
613
1214
1080
1.14
6.1
47.74
611
1212
1091
1.13
6.0
47.84
609
1210
1101
1.11
6.0
47.94
607
1208
1112
1.10
5.9
48.02
605
1206
1122
1.09
5.8
48.09
603
1204
1132
1.07
5.7
48.15
601
1202
1142
1.06
5.7
48.20
600
1201
1153
1.05
5.6
48.24
598
1199
1163
1.04
5.5
48.27
596
1197
1173
1.02
5.5
48.30
594
1195
1183
1.01
5.4
48.31
592
1193
1193
1.00
5.3
48.31

0.9

1.0

0.9

1.0

Problem 13.120

[Difficulty: 4]

Given: Air flow from converging-diverging nozzle into pipe
Find:

Plot Ts diagram and pressure and speed curves

Solution:
The given or available data is:

R =
k =

53.33
1.4

ft·lbf/lbm·oR

cp =

0.2399

Btu/lbm·oR

187
T0 =
p0 =
pe =

710
25
2.5

Me =

2.16

Using built-in function IsenT (M ,k )

Te =

368

Using p e, M e, and function Fannop (M ,k )

p* =

6.84

Using T e, M e, and function FannoT (M ,k )

T* =

592

Equations and Computations:
From p 0 and p e, and Eq. 13.7a
(using built-in function IsenMfromp (M ,k ))

ft·lbf/lbm·oR
R

o

psi
psi

o

R

psi
o

R

We can now use Fanno-line relations to compute values for a range of Mach numbers:

M

T /T *

2.157
2
1.99
1.98
1.97
1.96
1.95
1.94
1.93
1.92
1.91
1.9
1.89
1.88
1.87
1.86
1.85
1.84
1.83
1.82
1.81
1.8
1.79
1.78
1.77
1.76
1.75
1.74
1.73
1.72
1.71

0.622
0.667
0.670
0.673
0.676
0.679
0.682
0.685
0.688
0.691
0.694
0.697
0.700
0.703
0.706
0.709
0.712
0.716
0.719
0.722
0.725
0.728
0.731
0.735
0.738
0.741
0.744
0.747
0.751
0.754
0.757

T (oR)
368
394
396
398
400
402
650
403
405 600
407
409 550
410
500
412
T (oR)
414 450
416
418 400
420
350
421
423 300
425
0
427
429
431
433
435
436
438
440
442
444
446
448

c (ft/s)
940
974
976
978
980
982
985
987
989
991
993
996
998
1000
1002
1004
1007
1009
1011 5
1013
1015
1018
1020
1022
1024
1027
1029
1031
1033
1036
1038

V (ft/s)

p /p *

p (psi)

s
(ft·lbf/lbm·oR)
Eq. (12.11b)

2028
0.37
2.5
1948
0.41
2.8
1942
0.41
2.8
1937 Ts Curve
0.41 (Fanno)
2.8
1931
0.42
2.9
1926
0.42
2.9
1920
0.42
2.9
1914
0.43
2.9
1909
0.43
2.9
1903
0.43
3.0
1897
0.44
3.0
1892
0.44
3.0
1886
0.44
3.0
1880
0.45
3.1
1874
0.45
3.1
1868
0.45
3.1
1862
0.46
3.1
1856
0.46
3.1
1850
0.46
10
15
20 3.2
25
1844
0.47
3.2
.
o
s
(ft
lbf/lbm
R)
1838
0.47
3.2
1832
0.47
3.2
1826
0.48
3.3
1819
0.48
3.3
1813
0.49
3.3
1807
0.49
3.3
1801
0.49
3.4
1794
0.50
3.4
1788
0.50
3.4
1781
0.50
3.5
1775
0.51
3.5

0.00
7.18
7.63
8.07
8.51
8.95
9.38
9.82
10.25
10.68
11.11
11.54
11.96
12.38
12.80
13.22
13.64
14.05
14.46 30
14.87
15.28
15.68
16.08
16.48
16.88
17.27
17.66
18.05
18.44
18.82
19.20

35

40

1.7
1.69
1.68
1.67
1.66
1.65
1.64
1.63
1.62
1.61
1.6
1.59
1.58
1.57
1.56
1.55
1.54
1.53
1.52
1.51
1.5
1.49
1.48
1.47
1.46
1.45
1.44
1.43
1.42
1.41
1.4
1.39
1.38
1.37
1.36
1.35
1.34
1.33
1.32
1.31
1.3
1.29
1.28
1.27
1.26
1.25
1.24
1.23
1.22
1.21
1.2
1.19
1.18
1.17
1.16
1.15
1.14
1.13
1.12
1.11
1.1
1.09
1.08
1.07
1.06
1.05
1.04
1.03
1.02
1.01
1

0.760
0.764
0.767
0.770
0.774
0.777
0.780
0.784
0.787
0.790
0.794
0.797
0.800
0.804
0.807
0.811
0.814
0.817
0.821
0.824
0.828
0.831
0.834
0.838
0.841
0.845
0.848
0.852
0.855
0.859
0.862
0.866
0.869
0.872
0.876
0.879
0.883
0.886
0.890
0.893
0.897
0.900
0.904
0.907
0.911
0.914
0.918
0.921
0.925
0.928
0.932
0.935
0.939
0.942
0.946
0.949
0.952
0.956
0.959
0.963
0.966
0.970
0.973
0.976
0.980
0.983
0.987
0.990
0.993
0.997
1.000

450
1040
452
1042
454
1045
456
1047
458
1049
460
1051
462
1054
464
1056
466
1058
468
1060
470
1063
472
1065
2500
474
1067
476
1069
478 2000
1072
480
1074
482 1500
1076
484
1078
V (ft/s)
486
1080
488 1000
1083
490
1085
492 500
1087
494
1089
496
1092
0
498
1094
2.0
500
1096
502
1098
504
1101
506
1103
508
1105
510
1107
512
1110
514
1112
516
1114
8
518
1116
520 7
1118
522
1121
6
524
1123
527 5
1125
529
1127
p (psi) 4
531
1129
533 3
1132
535
1134
2
537
1136
539 1
1138
541
1140
0
543
1143
2.0
545
1145
547
1147
549
1149
551
1151
553
1153
555
1155
557
1158
559
1160
561
1162
564
1164
566
1166
568
1168
570
1170
572
1172
574
1174
576
1176
578
1179
580
1181
582
1183
584
1185
586
1187
588
1189
590
1191
592
1193

1768
0.51
3.5
19.58
1761
0.52
3.5
19.95
1755
0.52
3.6
20.32
1748
0.53
3.6
20.69
1741
0.53
3.6
21.06
1735
0.53
3.7
21.42
1728
0.54
3.7
21.78
1721
0.54
3.7
22.14
1714
0.55
3.7
22.49
1707
Velocity
V 0.55
Versus M 3.8
(Fanno) 22.84
1700
0.56
3.8
23.18
1693
0.56
3.8
23.52
1686
0.57
3.9
23.86
1679
0.57
3.9
24.20
1672
0.58
3.9
24.53
1664
0.58
4.0
24.86
1657
0.59
4.0
25.18
1650
0.59
4.0
25.50
1642
0.60
4.1
25.82
1635
0.60
4.1
26.13
1627
0.61
4.1
26.44
1620
0.61
4.2
26.75
1612
0.62
4.2
27.05
1605
0.62
4.3
27.34
1597
0.63
4.3
27.63
1.8
1.6
1.4
1589
0.63
4.3
27.92
M 4.4
1582
0.64
28.21
1574
0.65
4.4
28.48
1566
0.65
4.5
28.76
1558
0.66
4.5
29.03
1550
0.66
4.5
29.29
1542
Pressure
p 0.67
Versus M 4.6
(Fanno) 29.55
1534
0.68
4.6
29.81
1526
0.68
4.7
30.06
1518
0.69
4.7
30.31
1510
0.69
4.8
30.55
1502
0.70
4.8
30.78
1493
0.71
4.8
31.01
1485
0.71
4.9
31.24
1477
0.72
4.9
31.46
1468
0.73
5.0
31.67
1460
0.74
5.0
31.88
1451
0.74
5.1
32.09
1443
0.75
5.1
32.28
1434
0.76
5.2
32.48
1426
0.76
5.2
32.66
1417
0.77
5.3
32.84
1.8
1.6
1.4
1408
0.78
5.3
33.01
M 5.4
1399
0.79
33.18
1390
0.80
5.4
33.34
1381
0.80
5.5
33.50
1372
0.81
5.6
33.65
1363
0.82
5.6
33.79
1354
0.83
5.7
33.93
1345
0.84
5.7
34.05
1336
0.85
5.8
34.18
1327
0.86
5.9
34.29
1318
0.87
5.9
34.40
1308
0.87
6.0
34.50
1299
0.88
6.0
34.59
1290
0.89
6.1
34.68
1280
0.90
6.2
34.76
1271
0.91
6.2
34.83
1261
0.92
6.3
34.89
1251
0.93
6.4
34.95
1242
0.94
6.5
34.99
1232
0.96
6.5
35.03
1222
0.97
6.6
35.06
1212
0.98
6.7
35.08
1203
0.99
6.8
35.10
1193
1.00
6.8
35.10

1.2

1.2

1.0

1.0

Problem 13.121

[Difficulty: 3]

Given: Oxygen traveling through duct
Find:

Inlet and exit Mach numbers, exit stagnation conditions, friction factor and
absolute roughness

Solution:
The given or available data is:

R =
k =
D =
L =
m =
p1 =
T1 =
p2 =

259.8
1.4
35
5
40.0
200
450
160

J/kg-K

A =

0.0962

m2

cm
m
kg/s
kPa
K
kPa

Equations and Computations:
The area of the duct is:
The sound speed at station 1 is:
c1 =
404.57
m/s
The density at 1 can be calculated from the ideal gas equation of state:
kg/m3
ρ1 =
1.7107
So the velocity at 1 is:
V1 =
243.03
m/s
and the Mach number at 1 is:
M1 =
0.601
The critical temperature and pressure may then be calculated:
p 1/p * =

1.7611

*

p =

113.6

*

1.1192

T 1/T =

kPa

*

T =
402.1
K
Since the critical pressure is equal at 1 and 2, we can find the pressure ratio at 2:
p 2/p * =
1.4089
The static to critical pressure ratio is a function of Mach number. Therefore:
M2 =
0.738
p 2/p * =
1.4089
(we used Solver to find the correct Mach number to match the pressure ratio)
The exit temperature is:
T 2/T * =
T2 =

1.0820
435.0

K

Based on the exit Mach number, pressure, and temperature, stagnation conditions are:
p 02 =
230
kPa
T 02 =
482
K
The maximum friction lengths at stations 1 and 2 are:
fL 1/D =
0.48802
0.14357
fL 2/D =
So the friction length for this duct is:
fL /D =
0.34445
and the friction factor is:
f =
0.02411
Now to find the roughness of the pipe, we need the Reynolds number.
From the LMNO Engineering website, we can find the viscosities of oxygen:
2
μ 1 = 2.688E-05 N-s/m
2
μ 2 = 2.802E-05 N-s/m
Therefore the Reynolds number at station 1 is:
Re1 = 5.413E+06
At station 2, we will need to find density and velocity first. From ideal gas equation:
kg/m3
ρ2 =
1.4156
The sound speed at 2 is:
c2 =
397.79
m/s
So the velocity at 2 is:
V2 =
293.69
m/s
and the Reynolds number is:
Re2 = 5.193E+06
So the Reynolds number does not change significantly over the length of duct.
We will use an average of the two to find the relative roughness:
Re = 5.303E+06
The relative roughness for this pipe is:
e/D =
0.00222
f =
0.02411
(we used Solver to find the correct roughness to match the friction factor.)

Therefore, the roughness of the duct material is:
e =
0.0776

cm

Problem 13.122

[Difficulty: 3]



Given:

Air flow in a converging nozzle and insulated duct

Find:

Pressure at end of duct; Entropy increase



k

Solution:
T0

Basic
equations:

T

Given or available data

1

k1
2

M

2

p0
p

k1

  1 



2

T0  ( 250  460 )  R

p 0  145  psi

k  1.4

cp  0.2399

M

2

k 1

 T2 
 p2 
∆s  cp  ln
 Rair ln 

 T1 
 p1 




p 1  125  psi
BTU

Rair  53.33 

lbm R

c

k R T

T2  ( 150  460 )  R
ft lbf
lbm R

Assuming isentropic flow in the nozzle
k 1




k
p




2
0
  
 1
k1
 p1 


M1 

M 1  0.465

In the duct T0 (a measure of total energy) is constant, soM 2 
At each location

Then

k  Rair T1

c1  1279

ft

c2 

k  Rair T2

c2  1211

ft

p 2  ρ2  Rair T2

p 2  60.8 psi

(Note: Using Fanno line relations, at M 1  0.465

Finall
y

Tcrit

p crit
T2
Tcrit

 1.031

so

M 2  0.907

p2
p crit

2

 M1

2

T1  681  R

T1  221  °F

M 2  0.905

V1  M 1  c1

ft
V1  595 
s

V2  M 2  c2

ft
V2  1096
s

V1
ρ2  ρ1 
V2

ρ2  0.269 

lbm

so

p1

Then

s

ft

T1

1

k1

 

s

ρ1  0.4960

mrate  ρ1  V1  A  ρ2  V2  A

Hence

T0

 T0  
  1
k1
T2
  
2

c1 

p1
ρ1 
Rair T1

Also

T1 

 1.150

3

lbm
ft

3

 T2 
 p2 
BTU
∆s  cp  ln
 Rair ln 
∆s  0.0231

lbm R
 T1 
 p1 
T1
Tcrit 
Tcrit  329 K
1.150
p1

 2.306

p crit 

 1.119

p 2  1.119  p crit

2.3060

p crit  54.2 psi

p 2  60.7 psi

Check!)

Problem 13.123

[Difficulty: 2]

Problem 13.124

[Difficulty: 3]

Problem 13.125

[Difficulty: 3]

Problem 13.126

[Difficulty: 3]

Given: Nitrogen traveling through C-D nozzle and constant-area duct with friction
Find:

Exit temperature and pressure

Solution:
The given or available data is:

R =
k =
p 01 =
T 01 =
T 01 =
A e/A t =
fL /D =

55.16
1.4
105
100
560
4
0.355

ft-lbf/lbm-°R
psia
°F
°R

Equations and Computations:
Based on the area ratio of the nozzle, we can find the nozzle exit Mach number:
M1 =
2.940
The pressure and temperature at station 1 are therefore:
p1 =
3.128
psia
°R
T1 =
205.2
The critical temperature, pressure, and maximum friction length at 1 are:
p 1/p * =

0.2255

*

p =

13.867

*

0.4397

T 1/T =

psia

*

T =
°R
466.7
fL 1/D =
0.51293
Based on the maximum and actual friction lengths, the maximum friction
length at station 2 is:
fL 2/D =
0.15793
So the exit Mach number is:
M2 =
1.560
fL 2/D =
0.15793
(we used Solver to find the correct Mach number to match the friction length)
The critical pressure and temperature ratios at station 2 are:
p 2/p * =
*

T 2/T =
So the exit temperature and pressure are:
p2 =
T2 =

0.5759
0.8071
7.99
377

psia
°R

Problem 13.127

[Difficulty: 3]



Given:

Air flow in a CD nozzle and insulated duct

Find:

Temperature at end of duct; Force on duct; Entropy increase



Solution:
Basic equations:

Given or available data



Fs  p 1  A  p 2  A  Rx  mrate V2  V1

T0



T1  ( 100  460 )  R

p 1  18.5 psi

k  1.4

cp  0.2399

T

k1

1

2

M

 T2 
 p2 
∆s  cp  ln
 Rair ln 

 T1 
 p1 

2

M1  2

2

M2  1

BTU

Rair  53.33 

lbm R

A  1  in
ft lbf
lbm R

Assuming isentropic flow in the nozzle
k1
2
1
 M1
T0 T2
2
so


T1 T0
k1
2
1
 M2
2
Also c1 

mrate  ρ1  V1  A

ρ1  0.0892

lbm
ft

1

3



2
k1
2

 M1

2

 M2

2

c2 

T2  840  R

k  Rair T2 V2  M 2  c2
V1
ρ2  ρ1 
V2

so

p 2  ρ2  Rair T2



Hence

Rx  p 2  p 1  A  mrate V2  V1

Finally

 T2 
 p2 
∆s  cp  ln
 Rair ln 

 T1 
 p1 

(Note: Using Fanno line relations, at M 1  2

k1

mrate  ρ1  V1  A  ρ2  V2  A2

lbm
mrate  1.44
s



T2  T1 

ft
V1  2320
s

k  Rair T1 V1  M 1  c1

p1
ρ1 
Rair T1

1

T1
Tcrit
p1
p crit





T1
T2
p1

Rx  13.3 lbf

p2

 0.6667

 0.4083

ft
V2  1421
s
ρ2  0.146 

(Force is to the right)

BTU
lbm R
T2 

p2 

p1
0.4083

T1
0.667

p 2  45.3 psi

lbm
ft

p 2  45.3 psi

∆s  0.0359



T2  380  °F

T2  840  R

Check!)

3

Problem 13.128

[Difficulty: 3]

Problem 13.129

[Difficulty: 4]

Problem 13.130

[Difficulty: 4]

Given: Air traveling through converging nozzle and constant-area duct with friction;
Find:

choked flow at duct exit.
Pressure at end of duct; exit conditions if 80% of duct were removed

Solution:
The given or available data is:

R =
k =
p1 =
T1 =

286.9
1.4
600
550

J/kg-K
kPa
K

Equations and Computations:
Station 1 is a stagnation state, station 2 is between the nozzle and friction duct,
and station 3 is at the duct exit.
For part (a) we know:
fL 2-3/D =
5.3
M3 =
1
Therefore, we can make the following statements:
fL 3/D =
0
fL 2/D =
5.300
So the Mach number at the duct entrance is:
M2 =
0.300
fL 2/D =
5.300
(we used Solver to find the correct Mach number to match the friction length)
The pressure at station 2 can be found from the Mach number and stagnation state:
p 1/p 2 =
1.0644
p2 =
563.69
kPa
Since state 3 is the critical state, we can find the pressure at state 3:
p 2/p * =
*

3.6193

p =
155.75
kPa
p3 =
155.7
kPa
For part (a) we know that if we remove 80% of the duct:
fL 2-3/D =
1.06
M2 =
0.300
fL 2/D =
5.300
p2 =
563.69
kPa
Since we know state 2 and the friction length of the duct, we can find state 3:
fL 3/D =
4.240

So the Mach number at the duct exit is:
M3 =
0.326
fL 2/D =
4.240
(we used Solver to find the correct Mach number to match the friction length)
To find the exit pressure:
p 2/p * =
*

3.6193

p =

155.75

p 3/p * =

3.3299

kPa

At state 3 the pressure ratio is:
So the pressure is:
p3 =

519

kPa

These processes are plotted in the Ts diagram below:

T

p1
T1
p2
p 3short
p*
*
s

Problem 13.131

[Difficulty: 4]

Problem 13.132

[Difficulty: 3]

Problem 13.133

[Difficulty: 2]



Given:

Air flow in a converging nozzle and insulated duct

Find:

Length of pipe



Solution:
Basic equations:

Fanno-line flow equations, and friction factor

Given or available data

T0  ( 250  460 )  R

p 0  145  psi

p 1  125  psi

D  2  in

k  1.4

cp  0.2399

T2  ( 150  460 )  R
BTU

Rair  53.33 

lbm R

ft lbf
lbm R

1

From isentropic relations

k 1






k
 2  p0 

M1  
  
 1
 k  1  p1 


T0
T1

Then for Fanno-line flow

1

k1

fave Lmax1
Dh

2

 M 1 so

2

1  M1



k M1

2

2

1

2

M 1  0.465

T1 

T0

T1  681  R

 1  k  1  M 2

1 
2



 ( k  1)  M 2 


1

 ln
  1.3923
k1
2 k
2

 M1  
 2  1 
2
 

k1

2

k 1


p1
p1

1 
2



  2.3044
p crit
p2
M1
k1
2
1
 M1 
2



p crit 

p1
2.3044

k 1

T1
Tcrit

p crit  54.2 psi

2


1

k1

Also, for

Tcrit
Then

 1.031

T2
Tcrit

2


1

fave Lmax2
Dh

k1
2



2

 1.150
 M1

2

Tcrit  592  R

k 1

T2

 M2

1  M2
k M2

2

leads
to

2

2

T1  221  °F

M2 

2
k1

T1
1.150

Tcrit  132  °F

 k  1 Tcrit





2



 ( k  1)  M 2 


2

 ln
  0.01271
2 k
k1
2

 M2  
 2  1 
2
 

k1

Tcrit 

T2



 1



M 2  0.906

Also

p1
ρ1 
Rair T1

ρ1  0.496 

For air at T1  221  °F, from Table A.9 (approximately)

lbm
ft

 7 lbf  s

μ  4.48  10



ft
For commercial steel pipe (Table 8.1)

e  0.00015  ft

Hence at this Reynolds number and roughness (Eq. 8.37)

Combining results

e
D

4

 9  10

so

2

and

Re1 

ρ1  V1  D
μ
6

Re1  3.41  10

f  0.01924

2
 ft
f

L
f

L
12
D  ave max2
ave max1 
L12   

  .01924  ( 1.3923  0.01271 )
Dh
Dh
f



These calculations are a LOT easier using the Excel Add-ins!

ft
V1  595 
s

V1  M 1  k  Rair T1

3

L12  12.0 ft

Problem 13.134

[Difficulty: 2]

Problem 13.135

[Difficulty: 3]

Given: Air traveling through a square duct
Find:

Entrance static and stagnation conditions; friction factor

Solution:
The given or available data is:

R =
k =
s=
L=
M1 =
M2 =
T2 =
p2 =

53.33
1.4
2
40
3
1.7
500
110

ft-lbf/lbm-°R
ft
ft

°R
psia

Equations and Computations:
From the entrance Mach number we can calculate:
p 01/p 1 =
36.7327
T 01/T 1 =
2.8000
p 1/p * =
*

T 1/T =
fL 1/D =
From the exit Mach number we can calculate:
p 2/p * =

0.2182
0.4286
0.52216
0.5130

*

0.7605
T 2/T =
0.20780
fL 2/D =
Since we know static conditions at 2, we can find the critical pressure and temperature:
p* =

214.4

psia

*

T =
°R
657.5
Therefore, the static conditions at the duct entrance are:
p1 =
46.8
psia
°R
282
T1 =
and from the isentropic relations we can find stagnation conditions:
p 01 =
1719
psia
°R
T 01 =
789
To find the friction factor of the duct, first we need to friction length:
fL 1-2/D =
0.31436
The area and perimeter of the duct are:
ft2
A=
4.0
P=
8.0
ft
Therefore the hydraulic diameter of the duct is:
2.0
ft
DH =
From the hydraulic diameter, length, and friction length, the friction factor is:
f=
0.01572

Problem 13.136

[Difficulty: 3]

Given: Air traveling through a cast iron pipe
Find:

Friction factor needed for sonic flow at exit; inlet pressure

Solution:
The given or available data is:

R =
k =
D=
L=
M1 =
T1 =
T1 =
M2 =
p2 =

53.33
1.4
3.068
10
0.5
70
530
1
14.7

ft-lbf/lbm-°R
in
ft
°F
°R
psia

Equations and Computations:
From the entrance Mach number we can calculate:
p 1/p * =
fL 1/D =
From the exit Mach number we can calculate:

2.1381
1.06906

p 2/p * =
1.0000
fL 2/D =
0.00000
To find the friction factor of the duct, first we need to friction length:
fL 1-2/D =
1.06906
Based on this, and the pipe length and diameter, the friction factor is:
f=
0.0273
We can calculate the critical pressure from the exit pressure:
p* =
14.7
Therefore, the static pressure at the duct entrance is:
p1 =
31.4

psia
psia

Problem 13.137

[Difficulty: 3] Part 1/2

Problem 13.137

[Difficulty: 3] Part 2/2

Problem 13.138

[Difficulty: 3]

Problem 13.139

Example 13.8

[Difficulty: 3]

Problem 13.140

[Difficulty: 3]

Problem 13.141

[Difficulty: 4] Part 1/2

Problem 13.141

[Difficulty: 4] Part 2/2

Problem 13.142

Given:

Air flow through a CD nozzle and tube.

Find:

Average friction factor; Pressure drop in tube

[Difficulty: 2]

Solution:
Assumptions: 1) Isentropic flow in nozzle 2) Adiabatic flow in tube 3) Ideal gas 4) Uniform flow
Given or available data:

J

k  1.40

R  286.9 

p 0  1.35 MPa

T0  550  K

kg K

p 1  15 kPa

where State 1 is the nozzle exit

D  2.5 cm

L  1.5 m

1
k 1






k
 2  p0 

From isentropic relations M 1  
  
 1
 k  1  p1 


2

M 1  3.617

Then for Fanno-line flow (for choking at the exit)

 ( k  1) M 2 


1


 ln
  0.599
Dh
2
k1
2 k
2

k M1
 M1  
 2  1 
2
 

2

 ( k  1)  M 2 

D  1  M1
1
k1 
fave   
fave  0.0100

 ln

2
L
k1
2 k
2

k

M
2
1


M


 
1
1  
2

 
 
fave Lmax

Hence

1  M1

2

k1

1
2

k 1


p1
p1


1
2



  0.159
p crit
p2
M1
k1
2
1
 M1 
2



p2 

p1
1



2
k

1


 
 
 1 
2
 
M 
k1
2
 M1  
 1 1
2


 

∆p  p 1  p 2

p 2  94.2 kPa

∆p  79.2 kPa

These calculations are a LOT easier
using the Excel Add-ins!

Problem 13.143

[Difficulty: 3]



Given:

Air flow in a CD nozzle and insulated duct

Find:

Duct length; Plot of M and p



Solution:
Basic equations:

Fanno-line flow equations, and friction factor

Given or available data T1  ( 100  460 )  R

p 1  18.5 psi

k  1.4

cp  0.2399

Then for Fanno-line flow at M 1  2

M1  2
BTU

Rair  53.33

lbm R

2

and at M 2  1

Also

p crit 

p1

Dh



1  M2
k M2

2

2

lbm R

fave Lmax1
Dh



1  M1
k M1

2

2

 ( k  1)  M 2 


1

 ln
  0.305
k1
2 k
2

 M1  
 2  1 
2
 

k1

 ( k  1)  M 2 


2

 ln
0
k1
2 k
2

 M2  
 2  1 
2
 

k1

p1
lbm
ρ1 
ρ1  0.089 
Rair T1
3
ft

V1  M 1  k  Rair T1
 7 lbf  s

For air at T1  100  °F, from Table A.9

μ  3.96  10



ft
For commercial steel pipe (Table 8.1)

ft  lbf

p crit  45.3 psi

0.4082

fave Lmax2

A  1 in

1

k 1


p1
p1


1
2



  0.4082
p crit
p2
M1
k1
2
1
 M1 
2



so

2

M2  1

e  0.00015  ft

Hence at this Reynolds number and roughness (Eq. 8.37)

e
D

 1.595  10

3

ft
V1  2320
s
so

2

and

4 A

D 
Re1 

π

D  1.13 in

ρ1  V1  D
μ
6

Re1  1.53  10

f  .02222
1.13

Combining results

 ft
fave Lmax1 
D  fave Lmax2
12
L12   

  .02222  ( 0.3050  0 )
Dh
Dh
f



L12  1.29 ft

L12  15.5 in

These calculations are a LOT easier using the Excel Add-ins! The M and p plots are shown in the Excel spreadsheet on the next
page.

The given or available data is:

M
2.00
1.95
1.90
1.85
1.80
1.75
1.70
1.65
1.60
1.55
1.50
1.45
1.40
1.35
1.30
1.25
1.20
1.15
1.10
1.05
1.00

fL m ax/D ΔfL ma x/D
0.305
0.000
0.290
0.015
0.274
0.031
0.258
0.047
0.242
0.063
0.225
0.080
0.208
0.097
0.190
0.115
0.172
0.133
0.154
0.151
0.136
0.169
0.118
0.187
0.100
0.205
0.082
0.223
0.065
0.240
0.049
0.256
0.034
0.271
0.021
0.284
0.010
0.295
0.003
0.302
0.000
0.305

f = 0.0222
p * = 45.3 kPa
D =
1.13 in

Fanno Line Flow Curves(M and p )
x (in) p /p * p (psi)
0
0.8
1.6
2.4
3.2
4.1
4.9
5.8
6.7
7.7
8.6
9.5
10.4
11.3
12.2
13.0
13.8
14.5
15.0
15.4
15.5

0.408
0.423
0.439
0.456
0.474
0.493
0.513
0.534
0.557
0.581
0.606
0.634
0.663
0.695
0.728
0.765
0.804
0.847
0.894
0.944
1.000

18.49
19.18
19.90
20.67
21.48
22.33
23.24
24.20
25.22
26.31
27.47
28.71
30.04
31.47
33.00
34.65
36.44
38.37
40.48
42.78
45.30

2.0

45

1.9
40

1.8
1.7

35

1.6
M 1.5

30 p (psi)

1.4
25

1.3
M

1.2

20

Pressure

1.1
1.0

15
0

4

8
x (in)

12

16

Problem 13.144

[Difficulty: 3]

Problem 13.145

[Difficulty: 4]

Given: Natural gas pumped through a pipe
Find:

Required entrance pressure and power needed to pump gas through the pipe

Solution:
The given or available data is:

R =
cp =
k =
D=
L=
f=
T1 =
T1 =
T2 =
m=
p2 =

96.32
0.5231
1.31
30
60
0.025
140
600
600
40
150

Equations and Computations:
At the exit of the pipe we can calculate the density:
p2 =
21.756

ft-lbf/lbm-°R
Btu/lbm-°R
in
mi
°F
°R
°R
lbm/s
kPa

psia
lbm/ft3

ρ2 =

0.05421

A=

4.909

ft2

V2 =

150.32

ft/s

c2 =

1561.3

ft/s

The pipe area is:
Therefore, the flow velocity is:
The local sound speed is:
So the Mach number is:
M2 =
0.09628
From the exit Mach number we can calculate:
T 02/T 2 =
1.0014
fL 2/D =
76.94219
Given the length, diameter, and friction factor, we know:
fL 1-2/D =
3168.0
Therefore:
fL 1/D =
3244.9

So from this information we can calculate the entrance Mach number:
M1 =
0.01532
fL 1/D =
3244.9
(We use Solver to calculate the Mach number based on the friction length)
The entrance sound speed is the same as that at the exit:
c1 =
1561.3
ft/s
So the flow velocity is:
V1 =
23.91
ft/s
We can calculate the pressure ratio from the velocity ratio:
p1 =
136.8
psi
From the entrance Mach number we can calculate:
T 01/T 1 =
1.0000
So the entrance and exit stagnation temperatures are:
°R
T 01 =
600.02
°R
T 02 =
600.86
The work needed to pump the gas through the pipeline would be:
W =
17.5810
Btu/s
W =
24.9
hp

Problem 13.146

[Difficulty: 5]

Given: Air flowing through a tube
Find:

Mass flow rate assuming incompressible, adiabatic, and isothermal flow

Solution:
R =
k =

53.33
1.4

ν =
D=
L=
f=
p1 =
T1 =
p2 =

0.000163
1
10
0.03
15
530
14.7

ft2/s
in
ft

A=

0.005454

ft2

ρ1 =

0.07642

lbm/ft3

V1 =

100.56

ft/s

m incomp =

0.0419

lbm/s

The given or available data is:

ft-lbf/lbm-°R

psia
°R
psia

Equations and Computations:
The tube flow area is:
For incompressible flow, the density is:
The velocity of the flow is:
The mass flow rate is:

For Fanno flow, the duct friction length is:
3.600
fL 1-2/D =
and the pressure ratio across the duct is:
p 1/p 2 =
1.0204
To solve this problem, we have to guess M 1. Based on this and the friction length,
we can determine a corresponding M 2. The pressure ratios for M 1 and M 2 will be used
to check the validity of our guess.
M1
M2
fL 1/D
fL 2/D
fL 1-2/D
p 1/p 2
0.0800
0.0813
106.72
103.12
3.600
1.0167
0.0900
0.0919
83.50
79.90
3.600
1.0213
0.1000
0.1027
66.92
63.32
3.600
1.0266
0.1100
0.1136
54.69
51.09
3.600
1.0326
Here we used Solver to match the friction length. When both the friction length and
the pressure ratios match the constraints set above, we have our solution.

Therefore our entrance and exit Mach numbers are:
M1 =
0.0900
M2 =
0.0919
The density at 1 was already determined. The sound speed at 1 is:
c1 =
1128.8
ft/s
so the velocity at 1 is:
V1 =
101.59
ft/s
and the mass flow rate is:
m Fanno =
0.0423
lbm/s

To solve this problem for isothermal flow, we perform a calculation similar to that done
above for the Fanno flow. The only difference is that we use the friction length relation
and pressure ratio relation for isothermal flow:
M1
M2
fL 1/D
fL 2/D
fL 1-2/D
p 1/p 2
0.0800
0.0813
105.89216
102.29216
3.600
1.0167
0.0900
0.0919
82.70400
79.10400
3.600
1.0213
0.1000
0.1027
66.15987
62.55987
3.600
1.0266
0.1100
0.1136
53.95380
50.35380
3.600
1.0326
Here we used Solver to match the friction length. When both the friction length and
the pressure ratios match the constraints set above, we have our solution.
Therefore our entrance and exit Mach numbers are:
M1 =
0.0900
M2 =
0.0919
The density and sound speed at 1 were already determined. The velocity at 1 is:
V1 =
101.59
ft/s
and the mass flow rate is:
m Isothermal =
0.0423
lbm/s
Note that in this situation, since the Mach number was low, the assumption of
incompressible flow was a good one. Also, since the Fanno flow solution shows
a very small change in Mach number, the temperature does not change much, and so
the isothermal solution gives almost identical results.

Problem 13.147

[Difficulty: 4]

Given: Oxygen supplied to astronaut via umbilical
Find:

Required entrance pressure and power needed to pump gas through the tube

Solution:
The given or available data is:

R =
cp =
k =
Q=
D=
L=
f=
T1 =
T1 =
T2 =
p2 =

259.8
909.4
1.4
10
1
15
0.01
20
293
293
30

J/kg-K
J/kg-K
L/min
cm
m
°C
K
K
kPa

Equations and Computations:
At the exit of the pipe we can calculate the density:
kg/m3

ρ2 =

0.39411

m=

6.568E-05

kg/s

A=

7.854E-05

m2

V2 =

2.12

m/s

c2 =

326.5

m/s

so the mass flow rate is:
The pipe area is:
Therefore, the flow velocity is:
The local sound speed is:
So the Mach number is:
M 2 = 0.006500
From the exit Mach number we can calculate:
T 02/T 2 =
1.0000
fL 2/D =
16893.2
Given the length, diameter, and friction factor, we know:
fL 1-2/D =
15.0
Therefore:
fL 1/D =
16908.2

So from this information we can calculate the entrance Mach number:
M 1 = 0.006498
fL 1/D =
16908.2
(We use Solver to calculate the Mach number based on the friction length)
The entrance sound speed is the same as that at the exit:
c1 =
326.5
m/s
So the flow velocity is:
V1 =
2.12
m/s
We can calculate the pressure ratio from the velocity ratio:
p1 =
30.0
kPa
From the entrance Mach number we can calculate:
T 01/T 1 =
1.0000
So the entrance and exit stagnation temperatures are:
T 01 =
293.00
K
T 02 =
293.00
K
The work needed to pump the gas through the pipeline would be:
W = 1.3073E-07 W
W =
0.1307
microwatts

Problem 13.148

Given:

Isothermal air flow in a pipe

Find:

Mach number and location at which pressure is 500 kPa

[Difficulty: 5]

Solution:
Basic equations:

Given or available data

From continuity

Since

Then

At M 1  0.176

At M 2  0.529

Hence

f  Lmax

1  k M

mrate  ρ V A

p  ρ R T

T1  ( 15  273 )  K

p 1  1.5 MPa

m
V1  60
s

D  15 cm

k  1.4

R  286.9 

ρ1  V1  ρ2  V2

or

T1  T2

and

c1 

c1  340

p1
M2  M1
p2

D

D

D

1  k M1





f  Lmax2

L12  18.2

D
D
f

2



2

m
s

 ln k  M 1

2

 ln k  M 2

2



f  Lmax1
D

2

2

M1 

  18.819

  0.614

 18.819  0.614  18.2

L12  210 m

V1
c1



 ln k  M



2

f  0.013

p 2  500  kPa

J
kg K

p2
T2

 V2

V  M  c  M  k  R T



2

1  k M2
k M2

2

k M

 V1 

M 2  0.529

k M1

f  Lmax2

f  L12



p1
T1

k  R  T1

f  Lmax1

D



p1
M2  M1
p2
M 1  0.176

Problem 13.149

[Difficulty: 2]

Given:

Isothermal air flow in a duct

Find:

Downstream Mach number; Direction of heat transfer; Plot of Ts diagram

Solution:
Basic equations:

h1 

V1

2

2



δQ

 h2 
dm

V2

2

2

T0
T

1

k1
2

M

2

mrate  ρ V A

Given or available data

T1  ( 20  273 )  K

p 1  350  kPa

M 1  0.1

From continuity

mrate  ρ1  V1  A  ρ2  V2  A

so

ρ1  V1  ρ2  V2

Also

p  ρ R T

M

Hence continuity becomes

p1
R  T1

T1  T2

Hence

M2 

But at each state

p2

 M 1  c1 

Since

From energy

and

p1
p2

R  T2

V

p 2  150  kPa

V  M c

or

c

 M 2  c2

c1  c2

p1 M1  p2 M2

so

 M1

M 2  0.233

2
2

V2  
V1 
 h 
   h  2   h 02  h 01  cp   T02  T01
2   1
dm  2


δQ

T0
T

1

k1
2

M

2

or

T0  T  1 



k1
2

M

2




p02
Since T = const, but M 2 > M 1, then T02 > T01, and
δQ
dm

0

T

p01

T02

T 01

so energy is ADDED to the system

p2

p1




s

Problem 13.150

[Difficulty: 4] Part 1/2

Problem 13.150

[Difficulty: 4] Part 2/2

Problem 13.151

[Difficulty: 2]

Problem 13.152

[Difficulty: 5] Part 1/2

Problem 13.152

[Difficulty: 5] Part 2/2

Problem 13.153

[Difficulty: 4]

Given: Air flow from converging nozzle into heated pipe
Find:

Plot Ts diagram and pressure and speed curves

Solution:
The given or available data is:

R =
k =

53.33
1.4

ft·lbf/lbm·oR

cp =

0.2399

Btu/lbm·oR

187
T0 =
p0 =
pe=

710
25
24

Me =

0.242

Using built-in function IsenT (M ,k )

Te =

702

Using p e, M e, and function Rayp (M ,k )

p* =

10.82

Using T e, M e, and function RayT (M ,k )

T* =

2432

Equations and Computations:
From p 0 and p e, and Eq. 13.7a
(using built-in function IsenMfromp (M ,k ))

ft·lbf/lbm·oR
R
psi
psi

o

o

R

psi
o

R

We can now use Rayleigh-line relations to compute values for a range of Mach numbers:

M

T /T *

0.242
0.25
0.26
0.27
0.28
0.29
0.3
0.31
0.32
0.33
0.34
0.35
0.36
0.37
0.38
0.39
0.4
0.41
0.42
0.43
0.44
0.45
0.46

0.289
0.304
0.325
0.346
0.367
0.388
0.409
0.430
0.451
0.472
0.493
0.514
0.535
0.555
0.576
0.595
0.615
0.634
0.653
0.672
0.690
0.708
0.725

T (oR)
702
740
790
841
892
9433000
994
1046
2500
1097
1149
2000
1200
1250
T (oR) 1500
1301
1351
1000
1400
1448500
1496
1543 0
1589
0
1635
1679
1722
1764

c (ft/s)
1299
1334
1378
1422
1464
1506
1546
1586
1624
1662
1698
1734
1768
1802
1834
1866
1897
1926
1955
1982
2009
2035
2059

V (ft/s)

50

p /p *

p (psi)

315
2.22
24.0
334
2.21
23.9
358
2.19
23.7
384 Ts Curve
2.18(Rayleigh)
23.6
410
2.16
23.4
437
2.15
23.2
464
2.13
23.1
492
2.12
22.9
520
2.10
22.7
548
2.08
22.5
577
2.07
22.4
607
2.05
22.2
637
2.03
22.0
667
2.01
21.8
697
2.00
21.6
728
1.98
21.4
759
1.96
21.2
790
1.94
21.0
821
1.92
100
150 20.8
852
1.91
20.6
o
s (ft.lbf/lbm
884
1.89
20.4R)
916
1.87
20.2
947
1.85
20.0

Δs
(ft·lbf/lbm·oR)
Eq. (12.11b)
0.00
10.26
22.81
34.73
46.09
56.89
67.20
77.02
86.40
95.35
103.90
112.07
119.89
127.36
134.51
141.35
147.90
154.17
160.17
200
165.92
171.42
176.69
181.73

250

300

0.47
0.48
0.49
0.5
0.51
0.52
0.53
0.54
0.55
0.56
0.57
0.58
0.59
0.6
0.61
0.62
0.63
0.64
0.65
0.66
0.67
0.68
0.69
0.7
0.71
0.72
0.73
0.74
0.75
0.76
0.77
0.78
0.79
0.8
0.81
0.82
0.83
0.84
0.85
0.86
0.87
0.88
0.89
0.9
0.91
0.92
0.93
0.94
0.95
0.96
0.97
0.98
0.99
1

0.742
0.759
0.775
0.790
0.805
0.820
0.834
0.847
0.860
0.872
0.884
0.896
0.906
0.917
0.927
0.936
0.945
0.953
0.961
0.968
0.975
0.981
0.987
0.993
0.998
1.003
1.007
1.011
1.014
1.017
1.020
1.022
1.024
1.025
1.027
1.028
1.028
1.029
1.029
1.028
1.028
1.027
1.026
1.025
1.023
1.021
1.019
1.017
1.015
1.012
1.009
1.006
1.003
1.000

1805
1845
1884
1922
1958
3000
1993
2027
2500
2060
2091
2000
2122
2150
V (ft/s) 1500
2178
2204
1000
2230
2253
500
2276
2298
0
2318
0.2
2337
2355
2371
2387
2401
2415
2427
2438
2449 30
2458
2466 25
2474
2480 20
2486
p 2490
(psi) 15
2494
2497 10
2499
2501 5
2502
2502 0
2501
0.2
2500
2498
2495
2492
2488
2484
2479
2474
2468
2461
2455
2448
2440
2432

2083
979
1.83
19.8
186.57
2106
1011
1.81
19.6
191.19
2128
1043
1.80
19.4
195.62
Velocity
V Versus
M (Rayleigh)
2149
1075
1.78
19.2
199.86
2170
1107
1.76
19.0
203.92
2189
1138
1.74
18.8
207.80
2208
1170
1.72
18.6
211.52
2225
1202
1.70
18.4
215.08
2242
1233
1.69
18.2
218.48
2258
1265
1.67
18.0
221.73
2274
1296
1.65
17.9
224.84
2288
1327
1.63
17.7
227.81
2302
1358
1.61
17.5
230.65
2315
1389
1.60
17.3
233.36
2328
1420
1.58
17.1
235.95
2339
1450
1.56
16.9
238.42
2350
1481
1.54
16.7
240.77
2361
1511
1.53
16.5
243.01
0.3
0.4
0.5
0.6
0.7
0.8
2370
1541
1.51
16.3
245.15
M 16.1
2379
1570
1.49
247.18
2388
1600
1.47
15.9
249.12
2396
1629
1.46
15.8
250.96
2403
1658
1.44
15.6
252.70
2409
1687
1.42
15.4
254.36
2416
1715
1.41
15.2
255.93
Pressure
p Versus
M (Rayleigh)
2421
1743
1.39
15.0
257.42
2426
1771
1.37
14.9
258.83
2431
1799
1.36
14.7
260.16
2435
1826
1.34
14.5
261.41
2439
1853
1.33
14.4
262.59
2442
1880
1.31
14.2
263.71
2445
1907
1.30
14.0
264.75
2447
1933
1.28
13.9
265.73
2449
1959
1.27
13.7
266.65
2450
1985
1.25
13.5
267.50
2451
2010
1.24
13.4
268.30
2452
2035
1.22
13.2
269.04
2452
2060
1.21
13.1
269.73
2452
2085
1.19
12.9
270.36
2452
2109
1.18
12.8
270.94
0.3
0.4
0.5
0.6
0.7
0.8
2451
2133
1.17
12.6
271.47
M
2450
2156
1.15
12.5
271.95
2449
2180
1.14
12.3
272.39
2448
2203
1.12
12.2
272.78
2446
2226
1.11
12.0
273.13
2444
2248
1.10
11.9
273.43
2441
2270
1.09
11.7
273.70
2439
2292
1.07
11.6
273.92
2436
2314
1.06
11.5
274.11
2433
2335
1.05
11.3
274.26
2429
2356
1.04
11.2
274.38
2426
2377
1.02
11.1
274.46
2422
2398
1.01
10.9
274.51
2418
2418
1.00
10.8
274.52

0.9

1.0

0.9

1.0

Problem 13.154

[Difficulty: 2]

Given: Air flow through a duct with heat transfer
Find:

Exit static and stagnation temperatures; magnitude and direction of heat transfer

Solution:
The given or available data is:

R =
cp =
k =
M1 =
T1 =
M2 =

286.9
1004
1.4
3
250
1.6

J/kg-K
J/kg-K

K

Equations and Computations:
We can determine the stagnation temperature at the entrance:
T 01/T 1 =
2.8000
So the entrance stagnation temperature is:
T 01 =
700.00
K
The reference stagnation temperature for Rayliegh flow can be calculated:
T 01/T 0* =

0.6540

*

1070.4
K
T0 =
Since the reference state is the same at stations 1 and 2, state 2 is:
T 02/T 0* =
0.8842
T 02 =
946
K
T 02/T 2 =
1.5120
T2 =
626
K
The heat transfer is related to the change in stagnation temperature:
q 1-2 =
247
kJ/kg

Problem 13.155

[Difficulty: 4]

Given: Air flow from converging-diverging nozzle into heated pipe
Find:

Plot Ts diagram and pressure and speed curves

Solution:
The given or available data is:

R =
k =

53.33
1.4

ft·lbf/lbm·oR

cp =

0.2399

Btu/lbm·oR

187
T0 =
p0 =
pe =

710
25
2.5

Me =

2.16

Using built-in function IsenT (M ,k )

Te =

368

Using p e, M e, and function Rayp (M ,k )

p* =

7.83

Using T e, M e, and function RayT (M ,k )

T* =

775

Equations and Computations:
From p 0 and p e, and Eq. 13.7a
(using built-in function IsenMfromp (M ,k ))

ft·lbf/lbm·oR
R

o

psi
psi

o

R

psi
o

R

We can now use Rayleigh-line relations to compute values for a range of Mach numbers:

M

T /T *

2.157
2
1.99
1.98
1.97
1.96
1.95
1.94
1.93
1.92
1.91
1.9
1.89
1.88
1.87
1.86
1.85
1.84
1.83
1.82
1.81
1.8
1.79
1.78
1.77
1.76
1.75
1.74
1.73
1.72
1.71

0.475
0.529
0.533
0.536
0.540
0.544
0.548
0.552
0.555
0.559
0.563
0.567
0.571
0.575
0.579
0.584
0.588
0.592
0.596
0.600
0.605
0.609
0.613
0.618
0.622
0.626
0.631
0.635
0.640
0.645
0.649

T (oR)
368
410
413
416
418
421
800
424
750
427
430 700
433 650
436 600
440
o
T ( R) 550
443
500
446
449 450
452 400
455 350
459 300
462
0
465
468
472
475
479
482
485
489
492
496
499
503

c (ft/s)
940
993
996
1000
1003
1007
1010
1014
1017
1021
1024
1028
1032
1035
1039
1043
1046
1050
105410
1057
1061
1065
1069
1073
1076
1080
1084
1088
1092
1096
1100

V (ft/s)

p /p *

p (psi)

Δs
(ft·lbf/lbm·oR)
Eq. (12.11b)

2028
0.32
2.5
1985
0.36
2.8
1982
0.37
2.9
1979 Ts Curve
0.37 (Rayleigh)
2.9
1976
0.37
2.9
1973
0.38
2.9
1970
0.38
3.0
1966
0.38
3.0
1963
0.39
3.0
1960
0.39
3.0
1957
0.39
3.1
1953
0.40
3.1
1950
0.40
3.1
1946
0.40
3.2
1943
0.41
3.2
1939
0.41
3.2
1936
0.41
3.2
1932
0.42
3.3
1928
0.42
20
30
40 3.3
50
1925
0.43
3.3
.
o
s
(ft
lbf/lbm
R)
1921
0.43
3.4
1917
0.43
3.4
1913
0.44
3.4
1909
0.44
3.5
1905
0.45
3.5
1901
0.45
3.5
1897
0.45
3.6
1893
0.46
3.6
1889
0.46
3.6
1885
0.47
3.7
1880
0.47
3.7

0.00
13.30
14.15
14.99
15.84
16.69
17.54
18.39
19.24
20.09
20.93
21.78
22.63
23.48
24.32
25.17
26.01
26.86
27.70 60
28.54
29.38
30.22
31.06
31.90
32.73
33.57
34.40
35.23
36.06
36.89
37.72

70

80

1.7
1.69
1.68
1.67
1.66
1.65
1.64
1.63
1.62
1.61
1.6
1.59
1.58
1.57
1.56
1.55
1.54
1.53
1.52
1.51
1.5
1.49
1.48
1.47
1.46
1.45
1.44
1.43
1.42
1.41
1.4
1.39
1.38
1.37
1.36
1.35
1.34
1.33
1.32
1.31
1.3
1.29
1.28
1.27
1.26
1.25
1.24
1.23
1.22
1.21
1.2
1.19
1.18
1.17
1.16
1.15
1.14
1.13
1.12
1.11
1.1
1.09
1.08
1.07
1.06
1.05
1.04
1.03
1.02
1.01
1

0.654
0.658
0.663
0.668
0.673
0.677
0.682
0.687
0.692
0.697
0.702
0.707
0.712
0.717
0.722
0.727
0.732
0.737
0.742
0.747
0.753
0.758
0.763
0.768
0.773
0.779
0.784
0.789
0.795
0.800
0.805
0.811
0.816
0.822
0.827
0.832
0.838
0.843
0.848
0.854
0.859
0.865
0.870
0.875
0.881
0.886
0.891
0.896
0.902
0.907
0.912
0.917
0.922
0.927
0.932
0.937
0.942
0.946
0.951
0.956
0.960
0.965
0.969
0.973
0.978
0.982
0.986
0.989
0.993
0.997
1.000

507
1104
510
1107
514
1111
517
1115
521
1119
525
1123
529
1127
532
1131
536
1135
540
1139
544
1143
548
1147
2500
551
1151
555
1155
559 2000
1159
563
1164
567 1500
1168
571
1172
V (ft/s)
575
1176
579 1000
1180
583
1184
587 500
1188
591
1192
595
1196
0
599
1200
2.0
603
1204
607
1208
612
1213
616
1217
620
1221
624
1225
628
1229
632
1233
636
1237
9
641
1241
645 8
1245
649 7
1249
653
1253
6
657
1257
662 5
1261
p (psi)
666 4
1265
670
1269
3
674
1273
678 2
1277
682 1
1281
686
1285
0
690
1288
2.0
694
1292
699
1296
703
1300
706
1303
710
1307
714
1310
718
1314
722
1318
726
1321
730
1324
733
1328
737
1331
741
1334
744
1337
747
1341
751
1344
754
1347
757
1349
761
1352
764
1355
767
1358
769
1360
772
1362
775
1365

1876
0.48
3.7
38.54
1872
0.48
3.8
39.36
1867
0.48
3.8
40.18
1863
0.49
3.8
41.00
1858
0.49
3.9
41.81
1853
0.50
3.9
42.62
1849
0.50
3.9
43.43
1844
0.51
4.0
44.24
1839
0.51
4.0
45.04
1834
0.52
4.1
45.84
Velocity
V Versus
M (Rayleigh)
1829
0.52
4.1
46.64
1824
0.53
4.1
47.43
1819
0.53
4.2
48.22
1814
0.54
4.2
49.00
1809
0.54
4.3
49.78
1803
0.55
4.3
50.56
1798
0.56
4.3
51.33
1793
0.56
4.4
52.10
1787
0.57
4.4
52.86
1782
0.57
4.5
53.62
1776
0.58
4.5
54.37
1770
0.58
4.6
55.12
1764
0.59
4.6
55.86
1758
0.60
4.7
56.60
1752
0.60
4.7
57.33
1.8
1.6
1.4
1746
0.61
4.8
58.05
M 4.8
1740
0.61
58.77
1734
0.62
4.9
59.48
1728
0.63
4.9
60.18
1721
0.63
5.0
60.88
1715
0.64
5.0
61.56
1708
0.65
5.1
62.24
Pressure
p Versus
M (Rayleigh)
1701
0.65
5.1
62.91
1695
0.66
5.2
63.58
1688
0.67
5.2
64.23
1681
0.68
5.3
64.88
1674
0.68
5.3
65.51
1667
0.69
5.4
66.14
1659
0.70
5.5
66.76
1652
0.71
5.5
67.36
1645
0.71
5.6
67.96
1637
0.72
5.6
68.54
1629
0.73
5.7
69.11
1622
0.74
5.8
69.67
1614
0.74
5.8
70.22
1606
0.75
5.9
70.75
1598
0.76
6.0
71.27
1.8
1.6
1.4
1589
0.77
6.0
71.78
M 6.1
1581
0.78
72.27
1573
0.79
6.2
72.75
1564
0.80
6.2
73.21
1555
0.80
6.3
73.65
1546
0.81
6.4
74.08
1537
0.82
6.4
74.50
1528
0.83
6.5
74.89
1519
0.84
6.6
75.27
1510
0.85
6.7
75.63
1500
0.86
6.7
75.96
1491
0.87
6.8
76.28
1481
0.88
6.9
76.58
1471
0.89
7.0
76.86
1461
0.90
7.1
77.11
1451
0.91
7.1
77.34
1441
0.92
7.2
77.55
1430
0.93
7.3
77.73
1420
0.94
7.4
77.88
1409
0.95
7.5
78.01
1398
0.97
7.6
78.12
1387
0.98
7.6
78.19
1376
0.99
7.7
78.24
1365
1.00
7.8
78.25

1.2

1.2

1.0

1.0

Problem 13.156

[Difficulty: 2]

Problem 13.157

[Difficulty: 2]

Problem 13.158

[Difficulty: 3]

Given: Air flow through a duct with heat transfer
Find:

Heat addition needed to yield maximum static temperature and choked flow

Solution:
The given or available data is:

R =
cp =
k =
D=
V1 =
p1 =
T1 =
T1 =

53.33
0.2399
1.4
6
300
14.7
200
660

ft-lbf/lbm-°R
Btu/lbm-°R
in
ft/s
psia
°F
°R

c1 =

1259.65

ft/s

Equations and Computations:
The sound speed at station 1 is:
So the Mach number is:
M1 =
0.2382
We can determine the stagnation temperature at the entrance:
T 01/T 1 =
1.0113
So the entrance stagnation temperature is:
°R
T 01 =
667.49
The reference stagnation temperature for Rayliegh flow can be calculated:
T 01/T 0* =

0.2363

*

°R
T0 =
2824.4
For the maximum static temperature, the corresponding Mach number is:
M2 =
0.8452
Since the reference state is the same at stations 1 and 2, state 2 is:
T 02/T 0* =
0.9796
°R
T 02 =
2767
The heat transfer is related to the change in stagnation temperature:
q 1-2 =
504
Btu/lb
For acceleration to sonic flow the exit state is the * state:
q 1-* =
517
Btu/lb

Problem 13.159

Given:

Frictionless flow of Freon in a tube

Find:

Heat transfer; Pressure drop

[Difficulty: 2]

NOTE: ρ2 is NOT as stated; see below

Solution:
Basic equations: mrate  ρ V A



p  ρ R T

BTU
Given or available data h 1  25
lbm

ft
A 

mrate

The pressure drop is

π
4

3

2

V1  8.03
s

mrate

ft

V2  944 
s







∆p  ρ1  V1  V2  V1

h 2  65

BTU

ρ2  0.850

lbm

h 02  h 2 



p 1  p 2  ρ1 V1 V2  V1

2

h 01  h 1 

Q  107 





V

2

2
V2

s

∆p  162  psi

3

lbm
mrate  1.85
s

V1

BTU

lbm
ft

A  0.332 in

V1 
ρ1  A

Q  mrate h 02  h 01

2

h0  h 

2

D

ft

V2 
ρ2  A

The heat transfer is

lbm

ρ1  100

D  0.65 in

Then



Q  mrate h 02  h 01

2

h 01  25.0

BTU

h 02  82.8

BTU

lbm

2

lbm

(74 Btu/s with the wrong ρ2!)

(-1 psi with the wrong ρ 2!)

Problem 13.160

Given:

Frictionless air flow in a pipe

Find:

Heat exchange per lb (or kg) at exit, where 500 kPa

[Difficulty: 2]

Solution:
Basic equations: mrate  ρ V A

δQ

p  ρ R T

Given or available data T1  ( 15  273 )  K

dm





 cp  T02  T01



p 1  1  MPa

M 1  0.35

D  5  cm

k  1.4

cp  1004

p1
ρ1 
R  T1

ρ1  12.1

V1  M 1  c1

m
V1  119
s

From momentum

p1  p2
V2 
 V1
ρ1  V1

m
V2  466
s

From continuity

ρ1  V1  ρ2  V2

V1
ρ2  ρ1 
V2

ρ2  3.09

T2  564 K

T2  291  °C

At section 1

p2

T2 

and

T02  T2   1 

k1

T01  T1   1 

k1

with

Then

ρ2  R



δQ



3

c1 

p 2  500  kPa
J
kg K

k  R  T1

m

Hence



kg

2

2

 M2

 M1

2




2






p 1  p 2  ρ1  V1  V2  V1 (Momentum)

(Energy)

R  286.9 
c1  340

M2  1

J
kg K

m
s

kg
3

m

T02  677 K

T02  403  °C

T01  295 K

T01  21.9 °C



Btu
kJ
 cp  T02  T01  164 
 383 
dm
lbm
kg

T0
(Note: Using Rayleigh line functions, for M 1  0.35
 0.4389
T0crit
so

T0crit 

T01
0.4389

T0crit  672K close to T2 ... Check!)

Problem 13.161

[Difficulty: 3]

Problem 13.162

[Difficulty: 3]

Problem 13.163

[Difficulty: 3]

Given: Nitrogen flow through a duct with heat transfer
Find:

Heat transfer

Solution:
The given or available data is:

R =
cp =
k =
M1 =
T 01 =
p1 =
p2 =

55.16
0.2481
1.4
0.75
500
24
40

ft-lbf/lbm-°R
Btu/lbm-°R

°R
psia
psia

Equations and Computations:
We can find the pressure and stagnation temperature at the reference state:
p 1/p * =

1.3427

*

0.9401
T 01/T 0 =
So the reference pressure and stagnation temperature are:
p* =

17.875

psia
°R
531.9
T0 =
We can now find the exit Mach number through the reference pressure:
*

p 2/p * =
M2 =

2.2378
0.2276

p 2/p * =
2.2378
(We used Solver to match the reference pressure ratio by varying M 2.)
Since the reference state is the same at stations 1 and 2, state 2 is:
T 02/T 0* =
0.2183
°R
T 02 =
116
The heat transfer is related to the change in stagnation temperature:
q 1-2 =
-95.2
Btu/lb
(The negative number indicates heat loss from the nitrogen)

Problem 13.164

[Difficulty: 3]

Problem 13.165

[Difficulty: 3]

Given:

Frictionless flow of air in a duct

Find:

Heat transfer without choking flow; change in stagnation pressure
k

Solution:
Basic equations:

T0

k1

1

T

M

2
mrate

p1  p2 

A

p0

2





A 

π
4

2

D

At state 1

From continuity

From momentum

A  78.54  cm

2

k  1.4

kg
mrate  0.5
s

D  10 cm

M2  1

cp  1004




J

R  286.9 

kg K





2

2

From continuity

p1
p1
ρ1  V1 
 M 1  c1 
 M  k  R  T1 
R  T1
R  T1 1
p1 M1



T2

T02  T2   1 

k1



or

 1  k M 2 
1 
p2  p1 
 1  k M 2 
2 

k p1 M1

 ρ2  V2 
R
T1

 p2 M2 
T2  T1   

 p1 M1 

p2 M2

T1

2

 M2

2




T02  1394 K

p 2  31.1 kPa
k p2 M2

R
T2

2

T2  1161 K
T01  T1   1 



T2  888  °C
k1
2

 M1

2




k

p 02  p 2   1 

k1



Finally

J
kg K

p1
kg
m
ρ1 
ρ1  0.894
c 1  k  R  T1
c1  331
R  T1
3
s
m
mrate
V1
m
then
V1 
V1  71.2
M1 
M 1  0.215
ρ1  A
c1
s
mrate
p
2
2
2
2 2
2
2
p1  p2 
 V2  V1  ρ2  V2  ρ1  V1 but
ρ V  ρ c  M 
 k  R  T M  k  p  M
A
R T
p1  p2  k p2 M2  k p1 M1

Then

2

 cp  T02  T01

Hence

Hence




k 1

p 1  70 kPa

dm



M

2

mrate  ρ A V

δQ

Given or available data T1  ( 0  273 )  K

k1

p  ρ R T

p

 V2  V1

  1 

δQ



 M2

2

2

p 02  58.8 kPa



MJ
 cp  T02  T01  1.12
kg
dm

(Using Rayleigh functions, at M 1  0.215

T01
T0crit

k

k 1






T01

T01  276 K

p 01  p 1   1 

∆p0  p 02  p 01

T01
 0.1975 T02 
0.1975
T02



k1
2

 M1

2




k 1

p 01  72.3 kPa

∆p0  13.5 kPa

T02  1395 K and ditto for p02 ...Check!)

Problem 13.166

[Difficulty: 3]

Problem 13.167

[Difficulty: 2]

Problem 13.168

[Difficulty: 3]

Given: Air flow through a duct with heat transfer
Find:

Exit conditions

Solution:
The given or available data is:

R =
cp =
k =
m=

286.9
1004
1.4
20

kg/s

A=
p1 =
T1 =
q 1-2 =

0.06
320
350
650

m2
kPa
K
kJ/kg

ρ1 =

3.1868

kg/m3

V1 =

104.5990

m/s

c1 =

374.9413

m/s

J/kg-K
J/kg-K

Equations and Computations:
The density at the entrance is:
So the entrance velocity is:
The sonic velocity is:
So the Mach number is:
M1 =
0.2790
We can determine the stagnation temperature at the entrance:
T 01/T 1 =
1.0156
So the entrance stagnation temperature is:
T 01 =
355.45
K
The reference conditions for Rayliegh flow can be calculated:
T 01/T 0* =

0.3085

*

T0 =

1152.2

*

T 1/T =

0.3645

T* =

960.2

*

2.1642

p 1/p =

K
K

p* =
147.9
kPa
The heat transfer is related to the change in stagnation temperature:
T 02 =
1002.86
K
The stagnation temperature ratio at state 2 is:
T 02/T 0* =
We can now find the exit Mach number:
M2 =

0.8704
0.652

*

T 02/T 0 =
0.8704
(We used Solver to match the reference pressure ratio by varying M 2.)
We can now calculate the exit temperature and pressure:
T 2/T * =
T2 =
*

p 2/p =
T2 =

0.9625
924

K

1.5040
222

kPa

Problem 13.169

[Difficulty: 3]

Given: Air flow through a duct with heat transfer
Find:

Heat transfer needed to choke the flow

Solution:
The given or available data is:

R =
cp =
k =
p1 =
T1 =
V1 =

286.9
1004
1.4
135
500
540

c1 =

448.1406

J/kg-K
J/kg-K
kPa
K
m/s

Equations and Computations:
The sonic velocity at state 1 is:
m/s

So the Mach number is:
M1 =
1.2050
We can determine the stagnation temperature at the entrance:
T 01/T 1 =
1.2904
So the entrance stagnation temperature is:
T 01 =
645.20
K
The reference conditions for Rayliegh flow can be calculated:
T 01/T 0* =
*

T0 =

0.9778
659.9

K

Since the flow is choked, state 2 is:
M2 =
1.000
T 02 =
659.85
K
The heat transfer is related to the change in stagnation temperature:
q 1-2 =
14.71
kJ/kg
To choke a flow, heat must always be added .

Problem 13.170

[Difficulty: 2]

Problem 13.171

[Difficulty: 2]

Problem 13.172

[Difficulty: 2]

Problem 13.173

[Difficulty: 4]

Given: Air flow through a duct with heat transfer followed by converging duct, sonic at exit
Find:

Magnitude and direction of heat transfer

Solution:
The given or available data is:

R =
cp =
k =
M1 =
T1 =
p1 =
A 2/A 3 =
M3 =

53.33
0.2399
1.4
2
300
70
1.5
1

ft-lbf/lbm-°R
Btu/lbm-°R

°R
psia

Equations and Computations:
We can determine the stagnation temperature at the entrance:
T 01/T 1 =
1.8000
So the entrance stagnation temperature is:
°R
T 01 =
540.00
The reference stagnation temperature ratio at state 1 is:
0.7934
T 01/T 0* =
The reference conditions for Rayliegh flow can be calculated:
°R
T 0* =
680.6
Since the flow is sonic at state 3, we can find the Mach number at state 2:
M2 =
1.8541
We know that the flow must be supersonic at 2 since the flow at M 1 > 1.
The reference stagnation temperature ratio at state 2 is:
0.8241
T 02/T 0* =
Since the reference stagnation temperature at 1 and 2 are the same:
°R
T 02 =
560.92
The heat transfer is related to the change in stagnation temperature:
q 1-2 =
5.02
Btu/lbm
The heat is being added to the flow.

Problem 13.174

[Difficulty: 3]

Problem 13.175

[Difficulty: 3]

Given: Data on flow through gas turbine combustor
Find:

Maximum heat addition; Outlet conditions; Reduction in stagnation pressure; Plot of process

Solution:
R =
k =
cp =
T1 =
p1 =
M1 =

The given or available data is:

286.9
1.4
1004
773
1.5
0.5

p02

J/kg·K

T02
J/kg·K
K
MPa

p2
T2

p01

T



T01
T1

Equations and Computations:

p1


From

p1  1 RT1

1=

6.76

kg/m

From

V1  M 1 kRT1

V1 =

279

m/s

3

s
Using built-in function IsenT (M,k):
T 01 /T 1 =

1.05

T 01 =

812

K

Using built-in function Isenp (M,k):
p 01 /p 1 =

1.19

p 01 =

1.78

MPa

For maximum heat transfer:

M2 =

1

Using built-in function rayT0 (M,k), rayp0 (M,k), rayT (M,k), rayp (M,k), rayV (M,k):
*

T 01 /T 0 =
*

p 01 /p 0 =
*

T /T =
*

p /p =

 / =
*

0.691

T0 =

*

1174

K

( = T 02)

1.114

*

1.60

MPa

( = p 02)

978

K

( = T 02)

p0 =
*

T =

0.790

*

1.778

p =

0.444

 =
*

0.844

MPa

3.01

kg/m

-182

kPa

Note that at state 2 we have critical conditions!
Hence:

From the energy equation:

p 012 – p 01 =

Q
dm

-0.182

MPa

 c p T02  T01 

 Q /dm =

364

kJ/kg

( = p 2)
3

( =  2)

Problem 13.176

[Difficulty: 3]

Problem 13.177

[Difficulty: 3]

Problem 13.178

[Difficulty: 4] Part 1/2

Problem 13.178

[Difficulty: 4] Part 2/2

Problem 13.179

[Difficulty: 4] Part 1/2

Problem 13.179

[Difficulty: 4] Part 2/2

Problem 13.180

[Difficulty: 3]

Given:

Normal shock

Find:

Approximation for downstream Mach number as upstream one approaches infinity

Solution:
2

Basic equations:

2

M 2n 

M 1n 

2
k1

(13.48a)

2 k

2


 k  1   M1n  1


2

M 1n 

Combining the two equations

M2 

M 2n
sin( β  θ)



1
M2 

M 2n  M 2  sin( β  θ)

(13.47b)

2
k1

 2 k   M 2  1
 k  1  1n



sin( β  θ)

2

M 1n 
2 k

2
k1

2



 k  1   M1n  1  sin( β  θ)



2

2
2

( k  1 )  M 1n

 2  k   1   sin( β  θ) 2


 k  1  M1n2



As M1 goes to infinity, so does M1n, so
M2 

1

 2 k   sin( β  θ) 2
k  1



M2 

k1
2  k  sin( β  θ)

2

Problem 13.181

[Difficulty: 3]

Given: Air deflected at an angle, causing an oblique shock
Find:

Possible shock angles; pressure and temperature corresponding to those angles

Solution:
The given or available data is:

R =
k =
M1 =
T1 =
p1 =
θ =

286.9
1.4
1.8
400
100
14

J/kg-K

K
kPa
°

Equations and Computations:
There are two possible shock angles for a given deflection, corresponding to the
weak and strong shock solutions. To find the shock angle, we have to iterate on the
shock angle until we match the deflection angle, which is a function of Mach number,
specific heat ratio, and shock angle.
The weak shock solution is:
β weak =
49.7
°
θ =
14.0000
°
The strong shock solution is:
β strong =
78.0
°
θ =
14.0000
°
We used Solver in Excel to iterate on the shock angles.
For the weak shock, the pre-shock Mach number normal to the wave is:
1.3720
M 1nweak =
The pressure and temperature ratios across the shock wave are:
2.0295
p 2/p 1weak =
1.2367
T 2/T 1weak =
Therefore, the post-shock temperature and pressure are:
p 2weak =
203
kPa
495
K
T 2weak =
For the weak shock, the pre-shock Mach number normal to the wave is:
1.7608
M 1nstrong =
The pressure and temperature ratios across the shock wave are:
p 2/p 1strong =
3.4505
1.5025
T 2/T 1strong =
Therefore, the post-shock temperature and pressure are:
345
kPa
p 2strong =
T 2strong =
601
K

Problem 13.182

[Difficulty: 3]

Given: Oblique shock in flow at M = 3
Find:

Minimum and maximum , plot of pressure rise across shock

Solution:
The given or available data is:

R =
k =
M1 =

286.9
1.4
3

J/kg.K

Equations and Computations:
The smallest value of  is when the shock is a Mach wave (no deflection)
 = sin-1(1/M 1)

The largest value is

=

19.5

o

=

90.0

o

The normal component of Mach number is
M 1n = M 1sin()

(13.47a)

For each , p2/p1 is obtained from M1n, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))
(13.48d)

Computed results:
 (o)

M 1n

p 2/p 1

19.5
20
30
40
50
60
70
75
80
85
90

1.00
1.03
1.50
1.93
2.30
2.60
2.82
2.90
2.95
2.99
3.00

1.00
1.06
2.46
4.17
5.99
7.71
9.11
9.63
10.0
10.3
10.3

Pressure Change across an Oblique Shock
12.5
10.0
7.5
p 2/p 1
5.0
2.5
0.0
0

30

60
( )
o

90

Problem 13.183

[Difficulty: 3]

Given: Data on an oblique shock
Find:

Mach number and pressure downstream; compare to normal shock

Solution:
R =
k =
p1 =
M1 =

The given or available data is:

=

286.9
1.4
80
2.5
35

J/kg.K
kPa
o

Equations and Computations:
From M 1 and 

M 1n =
M 1t =

1.43
2.05

From M1n and p1, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))
(13.48d)

p2 =

178.6

V t1 =

V t2

The tangential velocity is unchanged

Hence

c t1 M t1 =
(T 1)

1/2

c t2 M t2

M t1 = (T 2)1/2 M t2
M 2t = (T 1/T 2)1/2 M t1

From M1n, and Eq. 13.48c
(using built-in function NormTfromM (M ,k ))

Hence

T 2/T 1 =

1.28

M 2t =

1.81

kPa

Also, from M1n, and Eq. 13.48a
(using built-in function NormM2fromM (M ,k ))

(13.48a)

M 2n =

0.726

The downstream Mach number is then
M 2 = (M 2t2 + M 2n2)1/2
M2 =

1.95

Finally, from geometry
V 2n = V 2sin( - )
Hence

 =  - sin-1(V 2n/V 2)

or

 =  - sin-1(M 2n/M 2)
=

13.2

o

570

kPa

For the normal shock:
From M1 and p1, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))
p2 =
Also, from M1, and Eq. 13.48a
(using built-in function NormM2fromM (M ,k ))
M2 =

0.513

For the minimum :
The smallest value of  is when the shock is a Mach wave (no deflection)
 = sin-1(1/M 1)
=

23.6

o

Problem 13.184

[Difficulty: 3]

Given: Data on an oblique shock
Find:

Deflection angle ; shock angle ; Mach number after shock

Solution:
The given or available data is:

R =
k =
M1 =
T1 =
p 2 /p 1 =

286.9
1.4
3.25
283
5

J/kg.K

K

Equations and Computations:
From p 2/p 1, and Eq. 13.48d
(using built-in function NormpfromM (M ,k )
and Goal Seek or Solver )
(13.48d)

For

p 2 /p 1 =

5.00

M 1n =

2.10

From M 1 and M 1n, and Eq 13.47a
M 1n = M 1sin()
=

40.4

(13.47a)
o

From M 1 and , and Eq. 13.49
(using built-in function Theta (M ,, k )

(13.49)

=

23.6

o

To find M 2 we need M 2n. From M 1n, and Eq. 13.48a
(using built-in function NormM2fromM (M ,k ))

(13.48a)

M 2n =

0.561

The downstream Mach number is then obtained from
from M 2n,  and , and Eq. 13.47b
M 2n = M 2sin( - )
Hence

M2 =

1.94

(13.47b)

Problem 13.185

[Difficulty: 3]

Given: Velocities and deflection angle of an oblique shock
Find:

Shock angle ; pressure ratio across shock

Solution:
The given or available data is:

R =
k =
V1 =
V2 =
=

286.9
1.4
1250
650
35

J/kg.K
m/s
m/s
o

Equations and Computations:
From geometry we can write two equations for tangential velocity:
For V 1t

V 1t = V 1cos()

(1)

For V 2t

V 2t = V 2cos( - )

(2)

For an oblique shock V 2t = V 1t, so Eqs. 1 and 2 give
V 1cos() = V 2cos( - )
Solving for 

(3)

 = tan-1((V 1 - V 2cos())/(V 2sin()))
=

(Alternatively, solve Eq. 3 using Goal Seek !)

62.5

o

For p 2/p 1, we need M 1n for use in Eq. 13.48d

(13.48d)

We can compute M 1 from  and , and Eq. 13.49
(using built-in function Theta (M ,, k ))

(13.49)

For

=

35.0

o

=

62.5

o

M1 =

3.19

This value of M 1 was obtained by using Goal Seek :
Vary M 1 so that  becomes the required value.
(Alternatively, find M 1 from Eq. 13.49 by explicitly solving for it!)
We can now find M 1n from M 1. From M 1 and Eq. 13.47a
M 1n = M 1sin()
Hence

M 1n =

2.83

Finally, for p 2/p 1, we use M 1n in Eq. 13.48d
(using built-in function NormpfromM (M ,k )
p 2 /p 1 =

9.15

(13.47a)

Problem 13.186

[Difficulty: 4]

Given: Airfoil with included angle of 60o
Find:

Plot of temperature and pressure as functions of angle of attack

Solution:
R =
k =
T1 =
p1 =
V1 =

The given or available data is:

286.9
1.4
276.5
75
1200

=

60

c1 =

333

M1 =

3.60

J/kg.K
K
kPa
m/s
o

Equations and Computations:
From T 1
Then

m/s

Computed results:
 (o)

 (o)

 (o) Needed

 (o)

0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
16.00
18.00
20.00
22.00
24.00
26.00
28.00
30.00

47.1
44.2
41.5
38.9
36.4
34.1
31.9
29.7
27.7
25.7
23.9
22.1
20.5
18.9
17.5
16.1

30.0
28.0
26.0
24.0
22.0
20.0
18.0
16.0
14.0
12.0
10.0
8.0
6.0
4.0
2.0
0.0

30.0
28.0
26.0
24.0
22.0
20.0
18.0
16.0
14.0
12.0
10.0
8.0
6.0
4.0
2.0
Sum:

Error
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%

o

M 1n

p 2 (kPa)

T 2 ( C)

2.64
2.51
2.38
2.26
2.14
2.02
1.90
1.79
1.67
1.56
1.46
1.36
1.26
1.17
1.08
1.00

597
539
485
435
388
344
304
267
233
202
174
149
126
107
90
75

357
321
287
255
226
198
172
148
125
104
84
66
49
33
18
3

597

357

Max:

To compute this table:
1)
2)
3)
4)
5)
6)
7)

8)
9)
10)

Type the range of 
Type in guess values for 
Compute Needed from  = /2 - 
Compute  from Eq. 13.49
(using built-in function Theta (M ,, k )
Compute the absolute error between each  and Needed
Compute the sum of the errors
Use Solver to minimize the sum by varying the  values
(Note: You may need to interactively type in new  values
if Solver generates  values that lead to no )
For each , M 1n is obtained from M 1, and Eq. 13.47a
For each , p 2 is obtained from p 1, M 1n, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))
For each , T 2 is obtained from T 1, M 1n, and Eq. 13.48c
(using built-in function NormTfromM (M ,k ))

Pressure on an Airfoil Surface
as a Function of Angle of Attack
700
600
p 2 (kPa)

500
400
300
200
100
0
0

5

10

15

20

25

30

25

30

( )
o

Temperature on an Airfoil Surface
as a Function of Angle of Attack
400
350

T 2 (oC)

300
250
200
150
100
50
0
0

5

10

15
( )
o

20

Problem 13.187

[Difficulty: 4]

Given: Airfoil with included angle of 20o
Find:

Mach number and speed at which oblique shock forms

Solution:
The given or available data is:

R =
k =
T1 =
=

286.9
1.4
288
10

J/kg.K
K
o

Equations and Computations:

From Fig. 13.29 the smallest Mach number for which an oblique shock exists
at a deflection  = 10o is approximately M 1 = 1.4.
By trial and error, a more precise answer is
(using built-in function Theta (M ,, k )
M1 =

1.42

=

67.4

o

=

10.00

o

c1 =
V1 =

340
483

A suggested procedure is:
1) Type in a guess value for M 1
2) Type in a guess value for 

m/s
m/s

3) Compute  from Eq. 13.49
(using built-in function Theta (M ,, k ))

(13.49)
4) Use Solver to maximize  by varying 
5) If  is not 10 o, make a new guess for M 1
o
6) Repeat steps 1 - 5 until  = 10

Computed results:
M1

 ( o)

 ( o)

1.42
1.50
1.75
2.00
2.25
2.50
3.00
4.00
5.00
6.00
7.00

67.4
56.7
45.5
39.3
35.0
31.9
27.4
22.2
19.4
17.6
16.4

10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0
10.0

Error
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%

Sum:

0.0%

To compute this table:
1) Type the range of M 1
2) Type in guess values for 
3) Compute  from Eq. 13.49
(using built-in function Theta (M ,, k )
o
4) Compute the absolute error between each  and  = 10
5) Compute the sum of the errors
6) Use Solver to minimize the sum by varying the  values
(Note: You may need to interactively type in new  values
if Solver generates  values that lead to no , or to
 values that correspond to a strong rather than weak shock)

Oblique Shock Angle as a Function of
Aircraft Mach Number

90
75
60
 (o) 45
30
15
0
1

2

3

4
M

5

6

7

Problem 13.188

[Difficulty: 3]

Given: Data on airfoil flight
Find:

Lift per unit span

Solution:
The given or available data is:

R =
k =
p1 =
M1 =
=
c =

286.9
1.4
70
2.75
7
1.5

J/kg.K
kPa
o

m

Equations and Computations:
The lift per unit span is
L = (p L - p U)c

(1)

(Note that p L acts on area c /cos(), but its
normal component is multiplied by cos())
For the upper surface:
pU =

p1

pU =

70.0

kPa

For the lower surface:
We need to find M 1n
= 

The deflection angle is

=

7

o

From M 1 and , and Eq. 13.49
(using built-in function Theta (M , ,k ))
(13.49)

=

7.0

o

=

26.7

o

M 1n =

1.24

For

(Use Goal Seek to vary  so that  = )
From M 1 and 

From M 1n and p 1, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))

(13.48d)

From Eq 1

p2 =

113

kPa

pL =

p2

pL =

113

kPa

L =

64.7

kN/m

Problem 13.189

[Difficulty: 4]

Given: Airfoil with included angle of 60o
Find:

Angle of attack at which oblique shock becomes detached

Solution:
The given or available data is:

R =
k =
T1 =
p1 =
V1 =

286.9
1.4
276.5
75
1200

=

60

c1 =

333

M1 =

3.60

J/kg.K
K
kPa
m/s
o

Equations and Computations:
From T 1
Then

m/s

From Fig. 13.29, at this Mach number the smallest deflection angle for which
an oblique shock exists is approximately  = 35o.

By using Solver , a more precise answer is
(using built-in function Theta (M ,, k )
M1 =

3.60

=

65.8

o

=

37.3

o

A suggested procedure is:
1) Type in a guess value for 
2) Compute  from Eq. 13.49
(using built-in function Theta (M ,, k ))

(13.49)
3) Use Solver to maximize  by varying 
For a deflection angle  the angle of attack  is
 =  - /2
=

7.31

o

Computed results:
 (o)

 (o)

 (o) Needed

 (o)

0.00
1.00
2.00
3.00
4.00
5.50
5.75
6.00
6.25
6.50
6.75
7.00
7.25
7.31

47.1
48.7
50.4
52.1
54.1
57.4
58.1
58.8
59.5
60.4
61.3
62.5
64.4
65.8

30.0
31.0
32.0
33.0
34.0
35.5
35.8
36.0
36.3
36.5
36.8
37.0
37.3
37.3

30.0
31.0
32.0
33.0
34.0
35.5
35.7
36.0
36.2
36.5
36.7
37.0
37.2
37.3
Sum:

Error
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%

M 1n

p 2 (kPa)

T 2 (oC)

2.64
2.71
2.77
2.84
2.92
3.03
3.06
3.08
3.10
3.13
3.16
3.19
3.25
3.28

597
628
660
695
731
793
805
817
831
845
861
881
910
931

357
377
397
418
441
479
486
494
502
511
521
533
551
564

931

564

0.0%

Max:

To compute this table:
Type the range of 
Type in guess values for 
Compute Needed from  =  + /2
Compute  from Eq. 13.49
(using built-in function Theta (M ,, k )
Compute the absolute error between each  and Needed
Compute the sum of the errors
Use Solver to minimize the sum by varying the  values
(Note: You may need to interactively type in new  values
if Solver generates  values that lead to no )
For each , M 1n is obtained from M 1, and Eq. 13.47a
For each , p 2 is obtained from p 1, M 1n, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))
For each , T 2 is obtained from T 1, M 1n, and Eq. 13.48c
(using built-in function NormTfromM (M ,k ))

1)
2)
3)
4)
5)
6)
7)

8)
9)
10)

Pressure on an Airfoil Surface
as a Function of Angle of Attack
1000

p 2 (kPa)

900
800
700
600
500
0

2

4

6

8

6

8

o
( )

Temperature on an Airfoil Surface
as a Function of Angle of Attack
600

T 2 (oC)

550
500
450
400
350
300
0

2

4
 (o)

Problem 13.190

[Difficulty: 3]

Given: Oblique shock Mach numbers
Find:

Deflection angle; Pressure after shock

Solution:
The given or available data is:

k =
p1 =
M1 =

1.4
75
4

M2 =

2.5

=

33.6

kPa

Equations and Computations:
We make a guess for :

o

From M 1 and , and Eq. 13.49 (using built-in function Theta (M , ,k ))
(13.49)

From M 1 and 
From M 2, , and 

=

21.0

M 1n =
M 2n =

2.211
0.546

o

(1)

We can also obtain M 2n from Eq. 13.48a (using built-in function normM2fromM (M ,k ))

(13.48a)

M 2n =

0.546

(2)

We need to manually change  so that Eqs. 1 and 2 give the same answer.
Alternatively, we can compute the difference between 1 and 2, and use
Solver to vary  to make the difference zero
Error in M 2n =

0.00%

Then p 2 is obtained from Eq. 13.48d (using built-in function normpfromm (M ,k ))
(13.48d)

p2 =

415

kPa

Problem 13.191

[Difficulty: 3]

Given: Data on airfoil flight
Find:

Lift per unit span

Solution:
The given or available data is:

R =
k =
p1 =
M1 =

286.9
1.4
75
2.75

U =

5

o

L =
c =

15
2

o

J/kg.K
kPa

m

Equations and Computations:
The lift per unit span is
L = (p L - p U)c

(1)

(Note that each p acts on area c /cos(), but its
normal component is multiplied by cos())
For the upper surface:
We need to find M 1n(U)
The deflection angle is

U =

U

U =

5

o

From M 1 and U, and Eq. 13.49
(using built-in function Theta (M , ,k ))
(13.49)

For

U =

5.00

o

U =

25.1

o

(Use Goal Seek to vary U so that U = U)
From M 1 and U

M 1n(U) =

1.16

From M 1n(U) and p 1, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))
(13.48d)

p2 =

106

kPa

pU =

p2

pU =

106

L =

L

L =

15

o

L =

15.00

o

L =

34.3

o

kPa

For the lower surface:
We need to find M 1n(L)
The deflection angle is

From M 1 and L, and Eq. 13.49
(using built-in function Theta (M , ,k ))
For

(Use Goal Seek to vary L so that L = L)
From M 1 and L

M 1n(L) =

1.55

From M 1n(L) and p 1, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))

From Eq 1

p2 =

198

kPa

pL =

p2

pL =

198

kPa

L =

183

kN/m

Problem 13.192

[Difficulty: 3]

Given: Air deflected at an angle, causing an oblique shock
Find:

Post shock pressure, temperature, and Mach number, deflection angle, strong or weak

Solution:
The given or available data is:

R =
k =
M1 =
T1 =
T1 =
p1 =
β =

53.33
1.4
3.3
100
560
20
45

ft-lbf/lbm-°R

°F
°R
psia
°

Equations and Computations:
The pre-shock Mach numbers normal and parallel to the wave are:
M 1n =
2.3335
M 1t =
2.3335
The sound speed upstream of the shock is:
c1 =
1160.30
ft/s
Therefore, the speed of the flow parallel to the wave is:
V 1t =
2707.51
ft/s
The post-shock Mach number normal to the wave is:
M 2n =
0.5305
The pressure and temperature ratios across the shock wave are:
p 2/p 1 =
6.1858
T 2/T 1 =
1.9777
Therefore, the post-shock temperature and pressure are:
p2 =
124
psia
1108
°R
T2 =
648
°F
T2 =
The sound speed downstream of the shock is:
c2 =
1631.74
ft/s
So the speed of the flow normal to wave is:
V 2n =
865.63
ft/s
The speed of the flow parallel to the wave is preserved through the shock:
2707.51
ft/s
V 2t =
Therefore the flow speed after the shock is:
V2 =
2842.52
ft/s
and the Mach number is:
M2 =
1.742
Based on the Mach number and shock angle, the deflection angle is:
θ =
27.3
°
Since the Mach number at 2 is supersonic, this is a weak wave. This can be
confirmed by inspecting Fig. 13.29 in the text.

Problem 13.193

[Difficulty: 3]

Given: Air passing through jet inlet
Find:

Pressure after one oblique shock; pressure after two shocks totaling same overall turn

Solution:
The given or available data is:

R =
k =
M1 =
p1 =
θ =

53.33
1.4
4
8
8

ft-lbf/lbm-°R

psia
°

Equations and Computations:
To find the shock angle, we have to iterate on the shock angle until we match the
deflection angle, which is a function of Mach number, specific heat ratio, and shock angle.
β =
20.472
°
θ =
8.0000
°
We used Solver in Excel to iterate on the shock angle.
The pre-shock Mach number normal to the wave is:
1.3990
M 1n =
The pressure ratio across the shock wave is:
p 2/p 1 =
2.1167
Therefore, the post-shock pressure is:
p2 =
16.93
psia
Now if we use two 4-degree turns, we perform two oblique-shock calculations.
For the first turn:
β 1-2a =
17.258
°
θ =
4.0000
°
We used Solver in Excel to iterate on the shock angle.
The pre-shock Mach number normal to the wave is:
1.1867
M 1n =
The post-shock Mach number normal to the wave is:
M 2an =
0.8506
The pressure ratio across the shock wave is:
p 2a/p 1 =
1.4763
Therefore, the post-shock pressure is:
p 2a =
11.8100
psia

So the Mach number after the first shock wave is:
M 2a =
3.7089
For the second turn:
β 2a-2b =
18.438
°
θ =
4.0000
°
We used Solver in Excel to iterate on the shock angle.
The pre-shock Mach number normal to the wave is:
1.1731
M 2an =
The post-shock Mach number normal to the wave is:
M 2bn =
0.8594
The pressure ratio across the shock wave is:
p 2b/p 2a =
1.4388
Therefore, the post-shock pressure is:
p 2b =
16.99
psia
The pressure recovery is slightly better for two weaker shocks than a single
stronger one!

Problem 13.194

[Difficulty: 4]

Given: Air turning through an incident and reflected shock wave
Find:

Pressure, temperature, and Mach number after each wave

Solution:
The given or available data is:

R =
k =
M1 =
p1 =
T1 =
T1 =
θ =

53.33
1.4
2.3
14.7
80
540
10

ft-lbf/lbm-°R

psia
°F
°R
°

Equations and Computations:
To find the shock angle, we have to iterate on the shock angle until we match the
deflection angle, which is a function of Mach number, specific heat ratio, and shock angle.
For the first turn:
β 1-2 =
34.326
°
θ =
10.0000
°
We used Solver in Excel to iterate on the shock angle.
The pre-shock Mach numbers normal and parallel to the wave are:
M 1n =
1.2970
1.8994
M 1t =
The post-shock Mach number normal to the wave is:
M 2n =
0.7875
The pressure and temperature ratios across the shock wave are:
p 2/p 1 =
1.7959
1.1890
T 2/T 1 =
Therefore, the post-shock pressure and temperature are:
p2 =
26.4
psia
T2 =
642
°R
Since the parallel component of velocity is preserved across the shock and
the Mach number is related to the square root of temperature, the new parallel
component of Mach number is:
M 2t =
1.7420
So the Mach number after the first shock wave is:
M2 =
1.912
For the second turn:
β 2-3 =
41.218
°
θ =
10.0000
°
We used Solver in Excel to iterate on the shock angle.

The pre-shock Mach numbers normal and parallel to the wave are:
M 1n =
1.2597
M 1t =
1.4380
The post-shock Mach number normal to the wave is:
M 2an =
0.8073
The pressure and temperature ratios across the shock wave are:
p 3/p 2 =
1.6845
T 2/T 1 =
1.1654
Therefore, the post-shock pressure is:
p3 =
44.5
psia
T3 =
748
°R
Since the parallel component of velocity is preserved across the shock and
the Mach number is related to the square root of temperature, the new parallel
component of Mach number is:
M 2t =
1.3320
So the Mach number after the second shock wave is:
M2 =
1.558

Problem 13.195

[Difficulty: 3]

Given: Wedge-shaped projectile
Find:

Speed at which projectile is traveling through the air

Solution:
The given or available data is:

R =
k =
p1 =
T1 =
T1 =
θ =
p2 =

53.33
1.4
1
10
470
10
3

ft-lbf/lbm-°R
psia
°F
°R
°
psia

Equations and Computations:
The pressure ratio across the shock wave is:
p 2/p 1 =
3.0000
For this pressure ratio, we can iterate to find the Mach number of the flow normal
to the shock wave:
M 1n =
1.6475
p 2/p 1 =
3.0000
We used Solver in Excel to iterate on the Mach number.
With the normal Mach number, we can iterate on the incident Mach number to
find the right combination of Mach number and shock angle to match the turning
angle of the flow and normal Mach number:
M1 =
4.9243
β 1-2 =
19.546
°
θ =
10.0000
°
The pre-shock Mach numbers normal and parallel to the wave are:
M 1n =
1.6475
M 1t =
4.6406
We used Solver in Excel to iterate on the Mach number and shock angle.
Now that we have the upstream Mach number, we can find the speed. The sound
speed upstream of the shock wave is:
c 1 = 1062.9839 ft/s
Therefore, the speed of the flow relative to the wedge is:
V1 =
5234
ft/s

Problem 13.196

[Difficulty: 4]

Given: Flow turned through an expansion followed by a oblique shock wave
Find:

Mach number and pressure downstream of the shock wave

Solution:
The given or available data is:

R =
k =
M1 =
p1 =
θ =

53.33
1.4
2
1
16

ft-lbf/lbm-°R

atm
°

Equations and Computations:
The Prandtl-Meyer function of the flow before the expansion is:
ω1 =
26.380
°
Since we know the turning angle of the flow, we know the Prandtl-Meyer function after
the expansion:
ω2 =
42.380
°
We can iterate to find the Mach number after the expansion:
M2 =
2.6433
ω2 =
42.380
°
The pressure ratio across the expansion wave is:
p 2/p 1 =
0.3668
Therefore the pressure after the expansion is:
p2 =
0.3668
atm
We can iterate on the shock angle to find the conditions after the oblique shock:
β 2-3 =
36.438
°
θ =
16.0000
°
We used Solver in Excel to iterate on the shock angle.
The pre-shock Mach numbers normal and parallel to the wave are:
M 2n =
1.5700
M 2t =
2.1265
The post-shock Mach number normal to the wave is:
M 3n =
0.6777
The pressure and tempreature ratios across the shock are:
p 3/p 2 =
2.7090
T 3/T 2 =
1.3674
The pressure after the shock wave is:
p3 =
0.994
atm
We can get the post-shock Mach number parallel to the shock from the
temperature ratio:
M 3t =
1.8185
So the post-shock Mach number is:
M3 =
1.941

Problem 13.197

[Difficulty: 4]

Given: Air passing through jet inlet
Find:

Pressure after one oblique shock; after two shocks totaling same overall turn, after
isentropic compression

Solution:
The given or available data is:

R =
k =
M1 =
p1 =
θ =

53.33
1.4
2
5
20

ft-lbf/lbm-°R

psia
°

Equations and Computations:
To find the shock angle, we have to iterate on the shock angle until we match the
deflection angle, which is a function of Mach number, specific heat ratio, and shock angle.
β =
53.423
°
θ =
20.0000
°
We used Solver in Excel to iterate on the shock angle.
The pre-shock Mach number normal to the wave is:
1.6061
M 1n =
The pressure ratio across the shock wave is:
p 2/p 1 =
2.8429
Therefore, the post-shock pressure is:
p2 =
14.21
psia
Now if we use two 10-degree turns, we perform two oblique-shock calculations.
For the first turn:
β 1-2a =
39.314
°
θ =
10.0000
°
We used Solver in Excel to iterate on the shock angle.
The pre-shock Mach number normal to the wave is:
M 1n =
1.2671
The post-shock Mach number normal to the wave is:
M 2an =
0.8032
The pressure ratio across the shock wave is:
p 2a/p 1 =
1.7066
Therefore, the post-shock pressure is:
p 2a =
8.5329
psia
So the Mach number after the first shock wave is:
M 2a =
1.6405
For the second turn:
β 2a-2b =
49.384
°
θ =
10.0000
°
We used Solver in Excel to iterate on the shock angle.

The pre-shock Mach number normal to the wave is:
M 2an =
1.2453
The post-shock Mach number normal to the wave is:
M 2bn =
0.8153
The pressure ratio across the shock wave is:
p 2b/p 2a =
1.6426
Therefore, the post-shock pressure is:
p 2b =
14.02
psia
For the isentropic compression, we need to calculate the Prandtl-Meyer
function for the incident flow:
ω1 =
26.3798
°
The flow out of the compression will have a Prandtl-Meyer function of:
ω 2i =
6.3798
°
To find the exit Mach number, we need to iterate on the Mach number to
match the Prandtl-Meyer function:
M 2i =
1.3076
ω 2i =
6.3798
°
The pressure ratio across the compression wave is:
p 2i/p 1 =
2.7947
Therefore, the exit pressure is:
p 2i =
13.97
psia

Problem 13.198

[Difficulty: 3]

Given: Air flow in a duct
Find:

Mach number and pressure at contraction and downstream;

Solution:
The given or available data is:

k =
M1 =

1.4
2.5

=
p1 =

7.5
50

o

kPa

Equations and Computations:
For the first oblique shock (1 to 2) we need to find  from Eq. 13.49
(13.49)

We choose  by iterating or by using Goal Seek to target  (below) to equal the given 
Using built-in function theta (M, ,k )
=

7.50

o

=

29.6

o

Then M 1n can be found from geometry (Eq. 13.47a)
M 1n =

1.233

Then M 2n can be found from Eq. 13.48a)
Using built-in function NormM2fromM (M,k )
(13.48a)
M 2n =

0.822

Then, from M 2n and geometry (Eq. 13.47b)
M2 =

2.19

From M 1n and Eq. 13.48d (using built-in function NormpfromM (M ,k ))
(13.48d)

p 2/p 1 =
p2 =

1.61
80.40

Pressure ratio

We repeat the analysis of states 1 to 2 for states 2 to 3, to analyze the second oblique shock
We choose  for M 2 by iterating or by using Goal Seek to target  (below) to equal the given 
Using built-in function theta (M, ,k )
=

7.50

o

=

33.5

o

Then M 2n (normal to second shock!) can be found from geometry (Eq. 13.47a)
M 2n =

1.209

Then M 3n can be found from Eq. 13.48a)
Using built-in function NormM2fromM (M,k )
M 3n =

0.837

Then, from M 3n and geometry (Eq. 13.47b)
M3 =

1.91

From M 2n and Eq. 13.48d (using built-in function NormpfromM (M ,k ))
p 3/p 2 =
p3 =

1.54
124

Pressure ratio

Problem 13.199

[Difficulty: 4]

Given: Air flow into engine
Find:

Pressure of air in engine; Compare to normal shock

Solution:
The given or available data is:

k =
p1 =
M1 =

1.4
50
3

=

7.5

kPa
o

Equations and Computations:
Assuming isentropic flow deflection
p 0 = constant
p 02 =

p 01

For p 01 we use Eq. 13.7a (using built-in function Isenp (M , k ))
(13.7a)

p 01 =
p 02 =
For the deflection

=

1837
1837
7.5

kPa
kPa
o

From M 1 and Eq. 13.55 (using built-in function Omega (M , k ))
(13.55)
1 =
Deflection =
Applying Eq. 1

49.8

2 - 1 = (M 2) - (M 1)

o

(1)

2 =

1 - 

2 =

42.3

(Compression!)
o

From 2, and Eq. 13.55 (using built-in function Omega (M , k ))
For

2 =
M2 =

42.3
2.64

o

(Use Goal Seek to vary M 2 so that 2 is correct)
Hence for p 2 we use Eq. 13.7a
(using built-in function Isenp (M , k ))
p 2 = p 02/(p 02/p 2)

For the normal shock (2 to 3)

p2 =

86.8

M2 =

2.64

kPa

From M 2 and p 2, and Eq. 13.41d (using built-in function NormpfromM (M ,k ))
(13.41d)

p3 =

690

kPa

For slowing the flow down from M 1 with only a normal shock, using Eq. 13.41d
p =

517

kPa

Problem 13.200

[Difficulty: 3]

Given: Deflection of air flow
Find:

Pressure changes

Solution:
R
k
p
M

The given or available data is:

=
=
=
=

286.9
1.4
95
1.5

J/kg.K
kPa

1 =

15

o

2 =

15

o

Equations and Computations:
We use Eq. 13.55
(13.55)

and
Deflection =

a - b = (M a) - (M b)

From M and Eq. 13.55 (using built-in function Omega (M , k ))
=

11.9

1 =

1 - 

1 =

1 + 

1 =

26.9

o

For the first deflection:
Applying Eq. 1

o

From 1, and Eq. 13.55
(using built-in function Omega (M , k ))
For

1 =

26.9

o

(1)

M1 =

2.02

(Use Goal Seek to vary M 1 so that 1 is correct)
Hence for p 1 we use Eq. 13.7a
(13.7a)

The approach is to apply Eq. 13.7a twice, so that
(using built-in function Isenp (M , k ))
p 1 = p (p 0/p )/(p 0/p 1)
p1 =

43.3

kPa

For the second deflection:
We repeat the analysis of the first deflection
Applying Eq. 1
2 + 1 =

2 - 

2 =

2 + 1 + 

2 =

41.9

o

(Note that instead of working from the initial state to state 2 we could have
worked from state 1 to state 2 because the entire flow is isentropic)
From 2, and Eq. 13.55
(using built-in function Omega (M , k ))
For

2 =

41.9

M2 =

2.62

o

(Use Goal Seek to vary M 2 so that 2 is correct)
Hence for p 2 we use Eq. 13.7a
(using built-in function Isenp (M , k ))
p 2 = p (p 0/p )/(p 0/p 2)
p2 =

16.9

kPa

Problem 13.201

[Difficulty: 3]

Given: Air flow in a duct
Find:

Mach number and pressure at contraction and downstream;

Solution:
The given or available data is:

k =
M1 =

1.4
2.5

=
p1 =

30
50

o

kPa

Equations and Computations:
For the first oblique shock (1 to 2) we find  from Eq. 13.49
(13.49)
Using built-in function theta (M, ,k )
=

7.99

o

Also, M 1n can be found from geometry (Eq. 13.47a)
M 1n =

1.250

Then M 2n can be found from Eq. 13.48a)
Using built-in function NormM2fromM (M,k )
(13.48a)
M 2n =

0.813

Then, from M 2n and geometry (Eq. 13.47b)
M2 =

2.17

From M 1n and Eq. 13.48d (using built-in function NormpfromM (M ,k ))
(13.48d)

p 2/p 1 =
p2 =

1.66
82.8

Pressure ratio

We repeat the analysis for states 1 to 2 for 2 to 3, for the second oblique shock
We choose  for M 2 by iterating or by using Goal Seek to target  (below) to equal
the previous , using built-in function theta (M, ,k )
=

7.99

o

=

34.3

o

Then M 2n (normal to second shock!) can be found from geometry (Eq. 13.47a)
M 2n =

1.22

Then M 3n can be found from Eq. 13.48a)
Using built-in function NormM2fromM (M,k )
M 3n =

0.829

Then, from M 3n and geometry (Eq. 13.47b)
M3 =

1.87

From M 2n and Eq. 13.48d (using built-in function NormpfromM (M ,k ))
p 3/p 2 =
p3 =

1.58
130

Pressure ratio

Problem 13.202

[Difficulty: 4]

Given: Mach number and deflection angle
Find:

Static and stagnation pressures due to: oblique shock; compression wave

Solution:
The given or available data is:

R =
k =
p1 =
M1 =

286.9
1.4
50
3.5

J/kg.K
kPa

=

35

o

=

35

o

Equations and Computations:
For the oblique shock:
We need to find M 1n
The deflection angle is
From M 1 and , and Eq. 13.49
(using built-in function Theta (M , ,k ))
(13.49)

For

=

35.0

o

=

57.2

o

(Use Goal Seek to vary  so that  = 35o)
From M 1 and 

M 1n =

2.94

From M 1n and p 1, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))
(13.48d)

p2 =

496

kPa

To find M 2 we need M 2n. From M 1n, and Eq. 13.48a
(using built-in function NormM2fromM (M ,k ))

(13.48a)

M 2n =

0.479

The downstream Mach number is then obtained from
from M 2n,  and , and Eq. 13.47b
M 2n = M 2sin( - )
Hence

M2 =

(13.47b)

1.27

For p 02 we use Eq. 12.7a
(using built-in function Isenp (M , k ))
(13.7a)

p 02 = p 2/(p 02/p 2)
p 02 =

1316

kPa

For the isentropic compression wave:
For isentropic flow

p 0 = constant
p 02 =

p 01

p 01 =

3814

kPa

p 02 =

3814

kPa

For p 01 we use Eq. 13.7a
(using built-in function Isenp (M , k ))

(Note that for the oblique shock, as required by Eq. 13.48b

(13.48b)

p 02/p 01 =
0.345
(using built-in function Normp0fromM (M ,k )

p 02/p 01 =
0.345
(using p 02 from the shock and p 01)

For the deflection

=



=

-35.0

(Compression )
o

We use Eq. 13.55

(13.55)
and
Deflection =

2 - 1 = (M 2) - (M 1)

From M 1 and Eq. 13.55 (using built-in function Omega (M , k ))

Applying Eq. 1

1 =

58.5

2 =

1 + 

2 =

23.5

o

2 =
M2 =

23.5
1.90

o

o

From 2, and Eq. 13.55
(using built-in function Omega (M , k ))
For

(Use Goal Seek to vary M 2 so that 2 = 23.5o)
Hence for p 2 we use Eq. 13.7a
(using built-in function Isenp (M , k ))
p 2 = p 02/(p 02/p 2)
p2 =

572

kPa

(1)

Problem 13.203

[Difficulty: 3]

Given: Deflection of air flow
Find:

Mach numbers and pressures

Solution
The given or available data is:

R =
k =
p2 =
M2 =

286.9
1.4
10
4

1 =

15

o

2 =

15

o

J/kg.K
kPa

Equations and Computations:
We use Eq. 13.55
(13.55)

and
Deflection =

a - b = (M a) - (M b)

From M and Eq. 13.55 (using built-in function Omega (M , k ))
2 =

65.8

o

For the second deflection:
Applying Eq. 1
1 =

2 - 2

1 =

50.8

o

From 1, and Eq. 13.55
(using built-in function Omega (M , k ))
For

1 =

50.8

M1 =

3.05

o

(Use Goal Seek to vary M 1 so that 1 is correct)

(1)

Hence for p 1 we use Eq. 13.7a
(13.7a)

The approach is to apply Eq. 13.7a twice, so that
(using built-in function Isenp (M , k ))
p 1 = p 2(p 0/p 2)/(p 0/p 1)
p1 =

38.1

kPa

For the first deflection:
We repeat the analysis of the second deflection
Applying Eq. 1
2 + 1 =

2 - 

 = 2 - (2 + 1)
=

35.8

o

(Note that instead of working from state 2 to the initial state we could have
worked from state 1 to the initial state because the entire flow is isentropic)
From , and Eq. 13.55
(using built-in function Omega (M , k ))
For

=

35.8

M =

2.36

o

(Use Goal Seek to vary M so that  is correct)
Hence for p we use Eq. 13.7a
(using built-in function Isenp (M , k ))
p = p 2(p 0/p 2)/(p 0/p )
p =

110

kPa

Problem 13.204

[Difficulty: 4]

Given: Mach number and airfoil geometry
Find:

Lift and drag per unit span

Solution:
The given or available data is:

R =
k =
p1 =
M1 =
=
c =

286.9
1.4
50
1.75
18
1

J/kg.K
kPa
o

m

Equations and Computations:
F = (p L - p U)c

The net force per unit span is
Hence, the lift force per unit span is

L = (p L - p U)c cos()

(1)

D = (p L - p U)c sin()

(2)

The drag force per unit span is

For the lower surface (oblique shock):
We need to find M 1n
The deflection angle is

=



=

18

o

From M 1 and , and Eq. 13.49
(using built-in function Theta (M , ,k ))
(13.49)

For

=

18.0

o

=

62.9

o

(Use Goal Seek to vary  so that  is correct)

From M 1 and 

M 1n =

1.56

From M 1n and p 1, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))
(13.48d)

p2 =

133.2

pL =

p2

pL =

133.2

kPa

kPa

For the upper surface (isentropic expansion wave):
For isentropic flow

p 0 = constant
p 02 =

p 01

For p 01 we use Eq. 13.7a
(using built-in function Isenp (M , k ))
(13.7a)

For the deflection

p 01 =

266

kPa

p 02 =

266

kPa

=



=

18.0

(Compression )
o

We use Eq. 13.55

(13.55)
and
Deflection =

2 - 1 = (M 2) - (M 1)

From M 1 and Eq. 13.55 (using built-in function Omega (M , k ))

Applying Eq. 3

1 =

19.3

2 =

1 + 

2 =

37.3

o

o

(3)

From 2, and Eq. 13.55 (using built-in function Omega (M , k ))
For

2 =
M2 =

37.3
2.42

o

(Use Goal Seek to vary M 2 so that 2 is correct)
Hence for p 2 we use Eq. 13.7a
(using built-in function Isenp (M , k ))
p 2 = p 02/(p 02/p 2)
p2 =

17.6

kPa

pU =

p2

pU =

17.6

kPa

From Eq. 1

L =

110.0

kN/m

From Eq. 2

D =

35.7

kN/m

Problem 13.205

[Difficulty: 3]

Given: Wedge-shaped airfoil
Find:

Lift per unit span assuming isentropic flow

Solution:
The given or available data is:

R
k
p
M

=
=
=
=

=
c =

286.9
1.4
70
2.75
7
1.5

J/kg.K
kPa
o

m

Equations and Computations:
The lift per unit span is
L = (p L - p U)c

(1)

(Note that p L acts on area c /cos(), but its
normal component is multiplied by cos())
For the upper surface:
pU =

p

pU =

70

kPa

For the lower surface:
=



=

-7.0

o

We use Eq. 13.55
(13.55)

and
Deflection =

L -  = (M L) - (M )

(2)

From M and Eq. 13.55 (using built-in function Omega (M , k ))
=

44.7

=

L - 

L =

+

L =

37.7

o

L =
ML =

37.7
2.44

o

o

Applying Eq. 2

From L, and Eq. 13.55
(using built-in function Omega (M , k ))
For

(Use Goal Seek to vary M L so that L is correct)

Hence for p L we use Eq. 13.7a
(13.7a)

The approach is to apply Eq. 13.7a twice, so that
(using built-in function Isenp (M , k ))
p L = p (p 0/p )/(p 0/p L)

From Eq 1

pL =

113

kPa

L =

64.7

kN/m

Problem 13.206

[Difficulty: 4]

Given: Mach number and airfoil geometry
Find:

Drag coefficient

Solution:
The given or available data is:

R =
k =
p1 =
M1 =

286.9
1.4
95
2

J/kg.K
kPa

=

0

o

=

10

o

Equations and Computations:
The drag force is
D = (p F - p R)cs tan(/2)

(1)

(s and c are the span and chord)
This is obtained from the following analysis
Airfoil thickness (frontal area) = 2s (c /2tan(/2))
Pressure difference acting on frontal area = (p F - p R)
(p F and p R are the pressures on the front and rear surfaces)
The drag coefficient is

2
C D = D /(1/2V A )

But it can easily be shown that
V 2 = pkM 2

(2)

Hence, from Eqs. 1 and 2
C D = (p F - p R)tan(/2)/(1/2pkM 2)

(3)

For the frontal surfaces (oblique shocks):
We need to find M 1n
The deflection angle is

=

/2

=

5

o

From M 1 and , and Eq. 13.49
(using built-in function Theta (M , ,k ))
(13.49)

=

5.0

o

=

34.3

o

M 1n =

1.13

For

(Use Goal Seek to vary  so that  = 5o)
From M 1 and 

From M 1n and p 1, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))
(13.48d)

p2 =

125.0

pF =

p2

pF =

125.0

kPa

kPa

To find M 2 we need M 2n. From M 1n, and Eq. 13.48a
(using built-in function NormM2fromM (M ,k ))

(13.48a)

M 2n =

0.891

The downstream Mach number is then obtained from
from M 2n,  and , and Eq. 13.47b
M 2n = M 2sin( - )
Hence

M2 =

(13.47b)

1.82

For p 02 we use Eq. 13.7a
(using built-in function Isenp (M , k ))
(13.7a)

p 02 =

742

kPa

For the rear surfaces (isentropic expansion waves):
Treating as a new problem
Here:

M 1 is the Mach number after the shock
and M 2 is the Mach number after the expansion wave
p 01 is the stagnation pressure after the shock
and p 02 is the stagnation pressure after the expansion wave
M 1 = M 2 (shock)
M1 =

1.82

p 01 = p 02 (shock)
p 01 =
For isentropic flow

For the deflection

742

kPa

p 0 = constant
p 02 =

p 01

p 02 =

742

=



=

10.0

kPa

o

We use Eq. 13.55

(13.55)
and
Deflection =

2 - 1 = (M 2) - (M 1)

From M 1 and Eq. 13.55 (using built-in function Omega (M , k ))

Applying Eq. 3

1 =

21.3

2 =

1 + 

2 =

31.3

o

o

From 2, and Eq. 13.55 (using built-in function Omega(M, k))
For

2 =
M2 =

(Use Goal Seek to vary M 2 so that 2 = 31.3o)

31.3
2.18

o

(3)

Hence for p 2 we use Eq. 13.7a
(using built-in function Isenp (M , k ))
p 2 = p 02/(p 02/p 2)

Finally, from Eq. 1

p2 =

71.2

pR =

p2

pR =

71.2

CD =

0.0177

kPa

kPa

Problem 13.207

Given:

Mach number and airfoil geometry

Find:

Plot of lift and drag and lift/drag versus angle of attack

Solution:
The given or available data is:
k =
p1 =
M1 =

1.4
50
1.75

=
c =

12
1

kPa
o

m

Equations and Computations:
The net force per unit span is
F = (p L - p U)c
Hence, the lift force per unit span is
L = (p L - p U)c cos()

(1)

The drag force per unit span is
D = (p L - p U)c sin()

(2)

For each angle of attack the following needs to be computed:

[Difficulty: 4]

For the lower surface (oblique shock):
We need to find M 1n
Deflection

=



From M 1 and , and Eq. 13.49
(using built-in function Theta (M , ,k ))
(13.49)



find

(Use Goal Seek to vary  so that  is the correct value)
From M 1 and  find M 1n
From M 1n and p 1, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))
(13.48d)

find

p2

and

pL =

p2

For the upper surface (isentropic expansion wave):
For isentropic flow

p 0 = constant
p 02 =

p 01

For p 01 we use Eq. 13.7a
(using built-in function Isenp (M , k ))

(13.7a)

find

p 02 =
=

Deflection

266

kPa



we use Eq. 13.55
(13.55)

and
Deflection =

2 - 1 = (M 2) - (M 1)

(3)

From M 1 and Eq. 13.55 (using built-in function Omega (M , k ))
find
Applying Eq. 3

1 =

19.3

2 =

1 + 

o

From 2, and Eq. 12.55 (using built-in function Omega (M , k ))
From 2

find

M2

(Use Goal Seek to vary M 2 so that 2 is the correct value)

(4)

Hence for p 2 we use Eq. 13.7a
(using built-in function Isenp (M , k ))
p 2 = p 02/(p 02/p 2)
pU =

p2

Finally, from Eqs. 1 and 2, compute L and D
Computed results:
 (o)

 (o)

 (o)

0.50
1.00
1.50
2.00
4.00
5.00
10.00
15.00
16.00
16.50
17.00
17.50
18.00

35.3
35.8
36.2
36.7
38.7
39.7
45.5
53.4
55.6
56.8
58.3
60.1
62.9

0.50
1.00
1.50
2.00
4.00
5.00
10.0
15.0
16.0
16.5
17.0
17.5
18.0

Error
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%

Sum: 0.0%

M 1n

p L (kPa)

2 (o)

2 from M 2 (o)

1.01
1.02
1.03
1.05
1.09
1.12
1.25
1.41
1.44
1.47
1.49
1.52
1.56

51.3
52.7
54.0
55.4
61.4
64.5
82.6
106.9
113.3
116.9
121.0
125.9
133.4

19.8
20.3
20.8
21.3
23.3
24.3
29.3
34.3
35.3
35.8
36.3
36.8
37.3

19.8
20.3
20.8
21.3
23.3
24.3
29.3
34.3
35.3
35.8
36.3
36.8
37.3

Error
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%

Sum: 0.0%

M2

p U (kPa)

L (kN/m)

D (kN/m)

1.77
1.78
1.80
1.82
1.89
1.92
2.11
2.30
2.34
2.36
2.38
2.40
2.42

48.7
47.4
46.2
45.0
40.4
38.3
28.8
21.3
20.0
19.4
18.8
18.2
17.6

2.61
5.21
7.82
10.4
20.9
26.1
53.0
82.7
89.6
93.5
97.7
102.7
110

0.0227
0.091
0.205
0.364
1.46
2.29
9.35
22.1
25.7
27.7
29.9
32.4
35.8

L/D
115
57.3
38.2
28.6
14.3
11.4
5.67
3.73
3.49
3.38
3.27
3.17
3.08

To compute this table:
1) Type the range of 
2) Type in guess values for 
3) Compute  from Eq. 13.49
(using built-in function Theta (M ,, k )
4) Compute the absolute error between each  and 
5) Compute the sum of the errors
6) Use Solver to minimize the sum by varying the  values
(Note: You may need to interactively type in new  values
if Solver generates  values that lead to no )
7) For each , M 1n is obtained from M 1, and Eq. 13.47a
8) For each , p L is obtained from p 1, M 1n, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))
9) For each , compute 2 from Eq. 4
10) For each , compute 2 from M 2, and Eq. 13.55
(using built-in function Omega (M ,k ))
11) Compute the absolute error between the two values of 2
12) Compute the sum of the errors
13) Use Solver to minimize the sum by varying the M 2 values
(Note: You may need to interactively type in new M 2 values)
if Solver generates  values that lead to no )
14) For each , p U is obtained from p 02, M 2, and Eq. 13.47a
(using built-in function Isenp (M , k ))
15) Compute L and D from Eqs. 1 and 2

Lift and Drag of an Airfoil
as a Function of Angle of Attack

L and D (kN/m)

120
100
80
Lift

60

Drag

40
20
0
0

2

4

6

8

10

12

14

16

18

20

()
o

Lift/Drag of an Airfoil
as a Function of Angle of Attack
140
120

L/D

100
80
60
40
20
0
0

2

4

6

8

10
 (o)

12

14

16

18

20

Problem 13.208

[Difficulty: 4]

Given: Mach number and airfoil geometry

FU

1
Find:

Lift and Drag coefficients

FL

RU
RL

Solution:
R =
k =
p1 =
M1 =

The given or available data is:

286.9
1.4
95
2

J/kg.K
kPa

=

12

o

=

10

o

Equations and Computations:
Following the analysis of Example 13.14
the force component perpendicular to the major axis, per area, is
F V/sc = 1/2{(p FL + p RL) - (p FU + p RU)}

(1)

and the force component parallel to the major axis, per area, is
F H/sc = 1/2tan(/2){(p FU + p FL) - (p RU + p RL)}

(2)

using the notation of the figure above.
(s and c are the span and chord)
The lift force per area is
F L/sc = (F Vcos() - F Hsin())/sc

(3)

The drag force per area is
F D/sc = (F Vsin() + F Hcos())/sc

C L = F L/(1/2V 2A )

The lift coefficient is

(4)

(5)

But it can be shown that
V 2 = pkM 2

(6)

Hence, combining Eqs. 3, 4, 5 and 6
C L = (F V/sc cos() - F H/sc sin())/(1/2pkM 2)

(7)

Similarly, for the drag coefficient
C D = (F V/sc sin() + F H/sc cos())/(1/2pkM 2)

(8)

For surface FL (oblique shock):
We need to find M 1n
The deflection angle is

=

 + /2

=

17

o

From M 1 and , and Eq. 13.49
(using built-in function Theta (M , ,k ))
(13.49)

For

=

17.0

o

=

48.2

o

(Use Goal Seek to vary  so that  = 17o)
From M 1 and 

M 1n =

1.49

From M 1n and p 1, and Eq. 13.48d
(using built-in function NormpfromM (M ,k ))
(13.48d)

p2 =

230.6

p FL =

p2

p FL =

230.6

kPa

kPa

To find M 2 we need M 2n. From M 1n, and Eq. 13.48a
(using built-in function NormM2fromM (M ,k ))

(13.48a)

M 2n =

0.704

The downstream Mach number is then obtained from
from M 2n,  and , and Eq. 13.47b
M 2n = M 2sin( - )
Hence

M2 =

(13.47b)

1.36

For p 02 we use Eq. 13.7a
(using built-in function Isenp (M , k ))

(13.7a)

p 02 =

693

kPa

For surface RL (isentropic expansion wave):
Treating as a new problem
Here:

M 1 is the Mach number after the shock
and M 2 is the Mach number after the expansion wave
p 01 is the stagnation pressure after the shock
and p 02 is the stagnation pressure after the expansion wave
M 1 = M 2 (shock)
M1 =

1.36

p 01 = p 02 (shock)
p 01 =
For isentropic flow

For the deflection

693

kPa

p 0 = constant
p 02 =

p 01

p 02 =

693

=



=

10.0

kPa

o

We use Eq. 13.55

(13.55)
and
Deflection =

2 - 1 = (M 2) - (M 1)

(3)

From M 1 and Eq. 13.55 (using built-in function Omega (M , k ))

Applying Eq. 3

1 =

7.8

2 =

1 + 

2 =

17.8

o

o

From 2, and Eq. 13.55 (using built-in function Omega (M , k ))
2 =
M2 =

For

17.8
1.70

o

(Use Goal Seek to vary M 2 so that 2 = 17.8o)
Hence for p 2 we use Eq. 13.7a
(using built-in function Isenp (M , k ))
p 2 = p 02/(p 02/p 2)
p2 =

141

p RL =

p2

p RL =

141

kPa

kPa

For surface FU (isentropic expansion wave):
M1 =
For isentropic flow

2.0

p 0 = constant
p 02 =

p 01

p 01 =
p 02 =

743
743

For p 01 we use Eq. 13.7a
(using built-in function Isenp (M , k ))

For the deflection

=

 - /2

=

7.0

kPa

o

We use Eq. 13.55
and
Deflection =

2 - 1 = (M 2) - (M 1)

(3)

From M 1 and Eq. 13.55 (using built-in function Omega (M , k ))

Applying Eq. 3

1 =

26.4

2 =

1 + 

2 =

33.4

o

o

From 2, and Eq. 13.55 (using built-in function Omega(M, k))
2 =
M2 =

For

33.4
2.27

o

(Use Goal Seek to vary M 2 so that 2 = 33.4o)
Hence for p 2 we use Eq. 13.7a
(using built-in function Isenp (M , k ))
p 2 = p 02/(p 02/p 2)
p2 =

62.8

p FU =

p2

p FU =

62.8

kPa

kPa

For surface RU (isentropic expansion wave):
Treat as a new problem.
Flow is isentropic so we could analyse from region FU to RU
but instead analyse from region 1 to region RU.
M1 =
For isentropic flow

TOTAL deflection

2.0

p 0 = constant
p 02 =

p 01

p 01 =
p 02 =

743
743

=

 + /2

=

17.0

kPa
kPa

o

We use Eq. 13.55
and
Deflection =

2 - 1 = (M 2) - (M 1)

(3)

From M 1 and Eq. 13.55 (using built-in function Omega (M , k ))

Applying Eq. 3

1 =

26.4

2 =

1 + 

2 =

43.4

o

o

From 2, and Eq. 13.55 (using built-in function Omega(M, k))
2 =
M2 =

For

43.4
2.69

o

(Use Goal Seek to vary M 2 so that 2 = 43.4o)
Hence for p 2 we use Eq. 13.7a
(using built-in function Isenp (M , k ))
p 2 = p 02/(p 02/p 2)
p2 =

32.4

kPa

p RU =

p2

p RU =

32.4

kPa

p FL =
p RL =
p FU =
p RU =

230.6
140.5
62.8
32.4

kPa
kPa
kPa
kPa

The four pressures are:

From Eq 1

F V/sc =

138

kPa

From Eq 2

F H/sc =

5.3

kPa

From Eq 7

CL =

0.503

From Eq 8

CD =

0.127

Problem 13.209

[Difficulty: 3]

Given: The gas dynamic relations for compressible flow
Find: The shock values and angles in each region
Solution: Begin with the 1-D gas dynamic relations for compressible flow
Governing equations:

 k 1 2 
V1  M 1 kRT1 ; T01  T1 1 
M1 
2


Assumption: The flow is compressible and supersonic

V1  M 1 kRTa  5 1.4  287  216.7  1475.4
V f  V1  1475.4

m
s

m
s

 k 1 2 
T01  T1 1 
M 1   1300 K
2


From (1) to (2) there is an oblique shock with M 1 =5 and   100

From the oblique shock figure (or tables)


1  19.38
M1n  M1 sin( )
M1n  1.659

1

(   )
M 1n


M1

M2

M 2n

From Normal Shock Tables
M 1n  1.659
 M 2 n  0.65119

  10 

T2
 1.429
T1
M2 

M 2n
 4.0
sin(   )

M2

M1

Problem 13.210

[Difficulty: 3]

Given: The gas dynamic relations for compressible flow
Find: The shock values and angles in each region
Solution: Begin with the 1-D gas dynamic relations for compressible flow
Governing equations:

 k 1 2 
V1  M 1 kRT1 ; T01  T1 1 
M1 
2


Assumption: The flow is compressible and supersonic
V1  M 1 kRTa  5 1.4  287  216.7  1475.4
V f  V1  1475.4

m
s

m
s

 k 1 2 
T01  T1 1 
M 1   1300 K
2


From (2) to (3) A second oblique shock with M 2  4.0 and   100

 From the oblique shock tables
 2  22.230
and
M 2 n  M 2 sin   1.513
From normal shock tables
 M 3n  0.698
M 3n
0.698

sin(  ) sin12.23
M 3  3.295

M3 

V1

10°

V1

10°

Problem 13.211

[Difficulty: 4]

Given: The gas dynamic relations for compressible flow
Find: Exit Mach number and velocity
Solution: Begin with the 1-D gas dynamic relations for compressible flow
Governing equations:

 k 1 2 
M1 
V1  M 1 kRT1 ; T01  T1 1 
2


Assumption: The flow is compressible and supersonic

V1  M 1 kRTa  5 1.4  287  216.7  1475.4

m
s

Assuming M2 = 4.0, M3 = 3.295, and M4 = 1.26
A
 4*  1.05
A
T04
and
 1.317
T4
A5 A5 A4

 5  1.05  5.25
A* A4 A*
M 5  3.23

With

k 1 2
M 5  3.11
T5
2
To find the temperature at state 5, we need to express the temperature in terms of the entrance
temperature and known temperature ratios:
T T T T0 T0 T
T5  T1 2 3 4 4 5 5
T1 T2 T3 T4 T04 T05
T05

 1

Now since the stagnation temperatures at 4 and 5 are equal (isentropic flow through the nozzle):
1
T5  216.7 K  1.429  1.333  3.744  1.317  1 
3.11
T5  654.5 K
Therefore, the exhaust velocity is:
m
V5  M 5 kRT5  3.23 1.4  287  654.5  1656
s



Source Exif Data:
File Type                       : PDF
File Type Extension             : pdf
MIME Type                       : application/pdf
PDF Version                     : 1.5
Linearized                      : No
Page Count                      : 2184
XMP Toolkit                     : XMP toolkit 2.9.1-13, framework 1.6
About                           : uuid:4d7635d5-a7d3-11f1-0000-422aa637022d
Producer                        : GPL Ghostscript 9.19
Modify Date                     : 2016:08:31 17:08:59-03:00
Create Date                     : 2016:08:31 17:08:59-03:00
Creator Tool                    : PScript5.dll Version 5.2.2
Document ID                     : uuid:4d7635d5-a7d3-11f1-0000-422aa637022d
Format                          : application/pdf
Title                           : Fox and McDonald Introduction to Fluid Mechanics 8th edition Solution Manual
Creator                         : John Leylegian
Description                     : Solutions Manual
Author                          : John Leylegian
Subject                         : Solutions Manual
EXIF Metadata provided by EXIF.tools

Navigation menu