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Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on
LectureLecture
44Fluid Mechanics and Applications
MECN 3110
Inter American University of Puerto RicoProfessor: Dr. Omar E. Meza Castillo
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on
Viscous Flow in Ducts
Chapter 6
2
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on
To describe the appearance of laminar flow and turbulent flow.
State the relationship used to compute the Reynolds number.
Identify the limiting values of the Reynolds number by which you can predict whether flow is laminar or turbulent.
Compute the Reynolds number for the flow of fluids in round pipes and tubes.
State Darcy’s equation for computing the energy loss due to friction for either laminar and turbulent flow.
Define the friction factor as used in Darcy’s equation Determine the friction factor using Moody’s diagram for
specific values of Reynolds number and the relative roughness of the pipe.
Major and Minor losses in Pipe Systems.
Th
erm
al S
yst
em
s D
esi
gn
U
niv
ers
idad
del Tu
rab
oTh
erm
al S
yst
em
s D
esi
gn
U
niv
ers
idad
del Tu
rab
o
3
Course Objectives
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Introduction
This chapter is completely devoted to an important practical fluid engineering problem: flow in ducts with various velocities, various fluids, and various duct shapes. Piping Systems are encountered in almost very engineering design and thus have been studied extensively.
The basic piping problem is this: Given the pipe geometry and its added components (such as fitting, valves, bends, and diffusers) plus the desired flow rate and fluid properties, what pressure drop is needed to drive the flow? Of course, it may be stated in alternative form: Given the pressure drop available from a pump, what flow rate will ensue? The correlations discussed in this chapter are adequate to solve most such piping problems
4
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Reynolds Number Regimes
As the water flows from a faucet at a very low velocity, the flow appears to be smooth and steady. The stream has a fairly uniform diameter and there is little or no evidence of mixing of the various parts of the stream. This is called laminar flow.
High-viscosity, low-Reynolds-number, laminar flow
5
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Reynolds Number Regimes
When the faucet is nearly fully open, the water has a rather high velocity. The elements of fluid appear to be mixing chaotically within the stream. This is a general description of turbulent flow.
Low-viscosity. High-Reynolds-number, turbulent flow
6
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Reynolds Number Regimes
7
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Reynolds Number Regimes
The changeover is called transition to turbulent. Transition depends on many effects, such as wall roughness or fluctuations in the inlet stream, but the primary parameter is the Reynolds number.
Studies present the following approximate ranges that commonly occur:1. 0 < Re < 1: highly viscous laminar “creeping” motion2. 1 <Re<100: laminar, strong Reynolds number
dependence3. 100 <Re <103: laminar, boundary layer theory useful4. 103 <Re <104: transition to turbulence5. 104<Re<106: turbulent, moderate Reynolds number
dependence6. 106<Re<∞: turbulent, slight Reynolds number
dependence
8
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Reynolds Number Regimes
In 1883 Osborne Reynolds, British engineering professor was the first to demonstrate that laminar or turbulent flow can be predicted if the magnitude of a dimensionless number, now called the Reynolds number is known.
The following equation shows the basic definition of the Reynolds number, Re:
The value of 2300 is for transition in pipes. Other geometries, such as plates, airfoils, cylinders, and spheres, have completely different transition Reynolds numbers.
9
VD
Re
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Critical Reynolds Number
For practical applications in pipe flow we find that if the Reynolds number for the flow is less than 2000, the flow will be laminar.
Re < 2000 : Laminar flow
If the Reynolds number is greater than 4000, the flow can be assumed to be turbulent.
Re>4000 : Turbulent flow
In the range of Reynolds numbers between 2000 and 2000, it is impossible to predict which type of flow exists; therefore this range is called the critical region.
10
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on
11
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Problem
Statement: Determine whether the flow is laminar or turbulent if glycerin at 25oC flows in a pipe with a 150-mm inside diameter. The average velocity of low is 3.6 m/s.
Solution:
Because Re=708, which is less than 2000, the flow is laminar
12
708
10609
150631258
106091258
15063
1
3
13
s.Pax.
m.sm.mkgRe
s.Pax.,mkg
,m.D,sm.V
VDRe
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Problem
Statement: Determine whether the flow is laminar or turbulent if water at 70oC flows in a 1-in Type K copper tube with a flow rate of 285 L/min.
Solution: For a 1-in Type K copper tube, D=0.02527m and A=5.017 x 10-4 m2. Then we have
Because Reynolds number is greater than 4000, the flow is turbulent.
13
57
27
3
24
1082510114
025270479
10114
47960000
1
100175
285
x.x.
..VDRe
smx.
sm.minL
smx
mx.
minL
A
QV
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Head Loss – The Friction Factor
In the general energy equation
Julius Weisbach in 1850 established that hf is proportional to (L/D), and G.H.L Hagen shown that for turbulent flow, hf is proportional to V2. The proposed correlation, still as effective today as in 1850, is
This expression is called Darcy’s Equation. The dimensionless parameter f is called the Darcy Friction factor.
14
fturbinepump hhzg
VPhz
g
VP
2
222
1
211
22
shapeduct,D,Refcnfwhere
g
V
D
Lfh Df 2
2
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Friction Loss in Laminar Flow
Because laminar flow is so regular and orderly, we can derive a relation between the energy loss and the measurable parameters of the flow system.
This relationship is known as the Hagen-Pouseuille equation:
The Hagen-Pouseuille equation is valid only for laminar flow (Re<2000).
If the two previous relationships for hf are set equal to each other, we can solve for the value of the friction factor:
15
2
32
gD
LVh f
2
2 32
2 gD
LV
g
V
D
Lf
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Friction Loss in Laminar Flow
In summary, the energy loss due to friction in laminar flow can be calculated either from Hagen-Pouseuille equation or Darcy’s equation. The pipe friction factor decrease inversely with Reynolds number.
16
Ref
64
Ref
DVReif,
DVf
64
64
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on
17
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Problem
Statement: Determine the energy loss if glycerin at 25oC flows 30 m through a 150-mm-diamter pipe with an average velocity of 4.0 m/s.
Solution: First, we must determine whether the flow is laminar or turbulent by evaluating the Reynolds number:
Because Re=768, which is less than 2000, the flow is laminar
18
786
10609
150041258
106091258
15004
1
3
13
s.Pax.
m.sm.mkgRe
s.Pax.,mkg
,m.D,sm.V
VDRe
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Problem
Using Darcy’s Equation
This means that 13.2 NM of energy is lost by each newton of the glicerin as it flow along the 30 m of pipe.
19
NNmorm..
.
..h
.Re
f
g
V
D
Lfh
f
f
2138192
04
150
300810
0810786
6464
2
2
2
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Friction Loss in Turbulent Flow
For turbulent flow of fluids in circular pipes it is most convenient to use Darcy’s Equation to calculate the energy loss due to friction.
Turbulent flow is rather chaotic and is constantly varying. For these reasons we must rely on experimental data to
determine the value of f. The following figure illustrate pipe wall roughness
(exaggerated) as the height of the peaks of the surface irregularities.
Because the roughness is somewhat irregular, averaging techniques are used to measure the overall roughness value
20
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Friction Loss in Turbulent Flow
For commercially available pipe and tubing, the design value of the average wall roughness has been determined as shown in the following table
21
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Relative Roughness of Pipe Material
22
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Moody Diagram
23
It is the graphical representation of the function f(ReD, ε/D)
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Moody Diagram
Several important observations can be made from these curves:1. For a given Reynolds number flow, as the relative
roughness is increased, the friction factor f decreases.2. For a given relative roughness, the friction factor f
decreases with increasing Reynolds number until the zone of complete turbulent is reached.
3. Within the zone of complete turbulence, the Reynolds number has no effect on the friction factor.
4. As the relative roughness increases, the value of Reynolds number at which the zone of complete turbulence begins alto increases.
24
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on
25
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Problem
Check your ability to read the Moody Diagram correctly by verifying the following values for friction factors for the given values of Reynolds number and relative roughness:
26
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Problem
Statement: Determine the friction factor f if water at 70oC is flowing at 9.14 m/s in an uncoated ductile iron pipe having an inside diameter of 25 mm.
Solution: The Reynolds number must first be evaluated to determine whether the flow is laminar or turbulent:
27
527
27
106510114
0250149
10114
0250149
x.smx.
m.sm.Re
smx.
,m.D,sm.V
VDRe
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Problem
Thus, the flow is turbulent. Now the relative roughness must be evaluated. From previous table we find ε=2.4x10-4 m. Then , the relative roughness is
The final steps in the procedure are as follows:1. Locate the Reynolds number on the abscissa of the
Moody Diagram.2. Project vertically until the curve for ε/D =0.00961538
is reached.3. Project horizontally to the left, and read f=0.038
28
0096153800250
41042.
m.
mx.
D
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Problem
Statement: In chemical processing plant, benzene at 50oC (SG=0.86) must be delivered to point B with a pressure of 550 kPa. A pump is located at point A 21m below point B, and the two points are connected by 240 m of plastic pipe having an inside diameter of 50 mm. If the volume flow rate is 110 L/min, calculate the required pressure at the outlet of the pump.
29
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Problem
Solution: Using the energy equation we get the following relation:
Mass Balance
Energy Balance
30
fBBB
AAA hz
g
VPz
g
VP
22
22
fBBB
AAA hz
g
VPz
g
VP
22
22
BABA
BBAA
VVthen,AAAs
AVAV
fABBA hzzPP
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Problem
The evaluation of the Reynolds number is the first step. The type of flow, laminar or turbulent, must be determined.
For a 50-mm pipe, D=.050 m and A=1.963 x 10-3 m2. Then, we have
31
4
4
3
334
23
33
333
105491024
86005009320
86010008601024
9320109631
10831
1083160000
1110
x.s.Pax.
mkgm.sm.VDRe
mkgmkg.,s.Pax.
:tableFrom
sm.mx.
smx.
A
QV
smx.minL
smminLQ
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Problem
For turbulent flow, Darcy’s equation should be used:
With the Reynolds number and the relative roughness we obtain the friction factor from the Moody’s Diagram f=0.018
32
00000600050
1003
1003
2
7
7
2
.m.
mx.
D
.mx.:tableFrom
g
V
D
Lfh f
m..
.x
.x.
g
V
D
Lfh f 833
8192
9320
0500
2400180
2
22
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Problem
You should have the pressure as follows:
33
kPaP
kPakPaP
m.mPa
kPasm.mkgkPaP
hzzPP
A
A
A
fABBA
759
209550
833211000
819860550
23
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Fundamental Equation of Fluid Mechanics
In order to apply previous equation to a piping system, we must extend the Bernoulli equation to account for losses which result from pipe fittings, valves, and direct losses (friction) within the pipes themselves. The extended Bernoulli equation may be written as:
Additionally, at various points along the piping system we may need to add energy to provide an adequate flow. This is generally achieved through the use of some sort of prime mover, such as a pump, fan, or compressor.
34
losseshz
g
VPz
g
VP2
222
1
211
22
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Fundamental Equation of Fluid Mechanics
For a system containing a pump or pumps, we must include an additional term to account for the energy supplied to the flowing stream. This yields the following form of the energy equation:
Finally, if somewhere in the piping system a component extracts energy from the fluid stream, such as a turbine, the energy equation takes the form:
35
losses
pumps hzg
VP
gm
Wz
g
VP2
222
1
211
22
losses
turbinespumps hgm
Wz
g
VP
gm
Wz
g
VP
2
222
1
211
22
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Losses in Piping System
36
Friction Factor: The total head loss hf in a piping system are typically categorized as major and minor losses. Major losses are associated with the pipe-wall
skin friction over the length of the pipe, and Minor losses in piping systems are generally
characterized as any losses which are due to pipe inlets and outlets, fittings and bends, valves, expansions and contractions, filters and screens, etc.
Minor losses are not necessarily smaller than major losses.
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Major Losses
Major losses of head in a piping system are the direct result of fluid friction in pipes and ducting. The resulting head losses are usually computed through the use of friction factors. Friction factors for ducts have been compiled for both laminar and turbulent flows. Two widely adopted definitions of the friction factor are the Darcy and Fanning friction factors.
The head loss due to flow of a fluid at an average velocity V through a length L of pipe with a diameter D is
37
cWDf g
V
D
Lfh
2
2
(Darcy-Weisbach) or
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Major Losses
38
Where:fD-W: Darcy-Weisbach friction factorfF: Fanning friction factorL: Length of considered pipeD: Pipe diameterV2/2gc: Velocity head
cFf g
V
D
Lfh
24
2
(Fanning)
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Roughness Height (e or ε) for Certain Common Pipes
39
ε
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Friction Factor f
The Moody diagram is sufficient to determine the friction factor and, hence, the head loss for given flow conditions. If we should desire to generate a computer-based solution, the translation of the Moody diagram into tabular form to use in interpolation is awkward. To say the least. What is needed is a simple algebraic expression in the form f(ReD, ε/D). Historically, the implicit expression of Colebrook has been accepted as the most accurate in the turbulent zone.
40
2512
73
1
fRe
.
D.log
f D
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Friction Factor f
Benedict suggests the expression proposed by Swamee and Jain, i.e.,
While for ε/D>10-4 Haaland recommends
41
2
90
74573
250
.DRe
.D.
log
.f
2111
7396
30860
.
D D.Re.
log
.f
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Friction Factor f
For situations where ε/D is very small, as in natural-gas pipelines, Haaland proposes
Where n ~ 3 The use of the Swamee-Jain or Haaland provide
an explicit formula of the friction factor in turbulent flow, and is thus the preferred technique.
42
2111
2
7377
30860
n.n
D D.Re.
log
n.f
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Friction Factor f
For laminar flow (Re<2000) the usual Darcy-Weisbach friction factor representation is
For turbulent flow in smooth pipes (ε/D=0) with 4000<Re<105 is
For turbulent flow (Re>4000) the friction factor can be founded from the Moody diagram
43
DRe
.f
064
41
3160/
DRe
.f
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Friction Factor f
Churchill devised a single expression that represents the friction factor for laminar, transition and turbulent flow regimes. This expression, which is explicit for the friction factor given the Reynolds number and relative roughness, is
where
and
44
121
51
1218
8
/
.D BARe
f
16
90 2707
14572
D.Reln.A .
D
1653037
DRe
,B
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Friction Factor f
In our discussion so far we have been concerned only with circular pipes, but for a variety of reason conduit cross sections often deviate from circular. The appropriate characteristic length to use in evaluating the Reynolds number for noncircular cross-sectional areas is the hydraulic diameter. The hydraulic diameter is defined as
To use the hydraulic diameter concept, the Reynolds number is defined as
45
perimeterwetted
areationalseccrossDH
4
HHD
VDRe
51
6
542
10497..T
x
μ (m2/s)T (oC)
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on
46
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Example 2
Find the head loss due to friction in galvanized-iron pipe 30 cm diameter and 50 m long through which water is flowing at a velocity of 3 m/s assume that water flowing at 20oC.
47
ε
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Minor Losses
Minor losses are due to the change of the velocity of the flowing fluid in magnitude or direction. They are most often calculated using the concept of a loss coefficient or equivalent friction length method. In the loss coefficient method, a constant or variable factor K is defined as:
The associated head loss is related to the loss coefficient through
48
22 212 V
P
gV
hK f
g
VKh f 2
2
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Minor Losses
The Minor Losses occurs at: Valves Tees Bends Reducers Valves And other appurtenances
49
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Minor Losses
50
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Minor Losses: Typical Constant K-Factors
51
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Minor Losses
52
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Head Loss Due to a Sudden Expansion (Enlargement)
Or:
53
g
VKh LL 2
21
2
2
11
A
AKL
g
VVhL 2
221
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Head Loss Due to a Sudden Contraction
54
g
VKh LL 2
22
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Head Loss Due to Gradual Enlargement (Conical diffuser)
55
g
VVKh LL 2
221
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Head Loss Due to Gradual Contraction (Reducer or nozzle)
56
g
VVKh LL 2
212
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Head Loss at the Entrance of a Pipe (Flow leaving a Tank)
57
g
VKh LL 2
2
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Another Typical Values for various amount of Rounding of the Lip
58
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Head Loss at the Exit of a Pipe (flow entering a tank)
The entire kinetic energy of the exiting fluid (velocity V1) is dissipated through viscous effects as the stream of the fluid mixes with the fluid in the tank and eventually comes to rest (V2)
59
g
VhL 2
2
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Head Loss Due to Bends in Pipes
60
g
VKh bb 2
2
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Head Loss Due to Mitre Bends
61
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Head Loss Due to Piping Fittings (Valves, Elbows, Bends, and Tees)
62
g
VKh vv 2
2
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Head Loss Due to Piping Fittings (Valves, Elbows, Bends, and Tees)
63
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on The loss coefficient for elbows, bends, and tees
64
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on General Equation
The basis for any analysis or design in the energy equation written between any two points and incorporating multiple pumps, turbines, and majors and minor losses. The general representation that we shall use is:
The relation between head loss and pressure drop is given by
And the relation between power and pressure drop is given by
65
g
gh
g
gh
g
gW
g
gWz
g
VPz
g
VP cL
)or(minl
fc
K
)majors(k
fc
J
)pumps(j
sc
I
)turbines(i
s lkji
1111
2
222
1
211
22
fhp
ff hmQhpQpower
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Piping Network: HVAC Piping System
66
Chapter 6Fluid
Mech
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s and A
pplic
ati
ons
Inte
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Bayam
on Piping Network
Most engineering systems are comprised of more than one section of pipe. In fact in most systems a complex network of piping is required to circulate the working fluid of a particular thermal system. These networks consist of series, parallel, and series-parallel configurations.
Pipe flow problems fall into three categories. In Category I problems the solution variable is the head loss or pressure drop Δp. The problem is specified such that the volumetric flow Q, the length of pipe L, the size or diameter D, are all known along with other parameters such as the pipe roughness and fluid properties. These types of problems yield a direct solution for the unknown variable Δp.
67
Chapter 6Fluid
Mech
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on Piping Network
In a Category II problem, the head loss (h or Δp) is specified and the volumetric flow Q is sought. Finally in a Category III problem, both the head loss and volumetric flow are specified, but the size or diameter of the pipe D is sought. Category I and Category II problems are considered analysis problems since the system is specified and only the flow is calculated. Whereas Category III problems are considered design problems, as the operating characteristics are known, but the size of the pipe is to be determined. Both Category II and Category III problems require an iterative approach in solution.
68
Chapter 6Fluid
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on Piping Network
Depending upon the nature of the flow (and solution process), it may be required to recompute other parameters such as the relative roughness at each iterative pass, since the ε/D ratio will change as the pipe diameter changes. However, with most modern computational software, we may solve “iterative” problems rather efficiently and need not resort to classic methods such as Gaussian elimination.
69
Chapter 6Fluid
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on Series Piping Systems
70
Chapter 6Fluid
Mech
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s and A
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ati
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on Series Piping Systems
The series flow arrangement is the simplest to analyze. In a series arrangement of pipes, the volumetric flow at any point in the system remains constant assuming the fluid is incompressible. Thus, for an arrangement of N pipes, the volumetric flow is given by
Or
The head loss in the system is the sum of the individual losses in each section of pipe. That is
71
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Series Piping Systems
The series flow arrangement is the simplest to analyze. In a series arrangement of pipes, the volumetric flow at any point in the system remains constant assuming the fluid is incompressible. Thus, for an arrangement of N pipes, the volumetric flow is given by
Or
The head loss in the system is the sum of the individual losses in each section of pipe. That is
72
Chapter 6Fluid
Mech
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s and A
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Inte
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Bayam
on
73
Chapter 6Fluid
Mech
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ati
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Inte
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Bayam
on Example 1-1 (Book)
Apply the energy equation to the situation sketched in the following figure.
74
1
Water La, Da, Va
Lb, Db, Vb
Lc, Dc, Vc
2
H
Figure 1-1
Chapter 6Fluid
Mech
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ati
ons
Inte
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Bayam
on Example 1-1 (Book)
The energy equation will be applied from the free surface at position 1 of the upper reservoir to the free surface at position 2 of the lower reservoir. The results, with each loss term identified, are
From the figure, we obtain
75
)frictionpipe(
b
b
bb
)elbow(
bb
frictionpipe
a
a
aa
)entrance(
aa g
V
D
Lf
g
VK
g
V
D
Lf
g
VKz
g
VPz
g
VP
222222
2222
2
222
1
211
)exit(
ce
)valve(
cv
)frictionpipe(
c
c
cc
)elbow(
cc g
VK
g
VK
g
V
D
Lf
g
VK
2222
2222
Hzz
VV
PP
21
21
21
0
Chapter 6Fluid
Mech
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s and A
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ati
ons
Inte
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on Example 1-1 (Book)
And from the continuity equation for incompressible steady flow, we can find that
Which, for circular pipes, becomes
Substitution of the preceding into the energy equation yields, after applying some algebra,
Until additional information is specified, we can not proceed any further than this
76
ccbbaa AVAVAV
222ccbbaa DVDVDV
ev
v
ccc
c
a
b
bbb
b
a
a
aaa
a KKD
LfK
D
D
D
LfK
D
D
D
LfK
g
VH
4
4
4
42
2
Chapter 6Fluid
Mech
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s and A
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on Example 1-2 (Book)
77
ft75Hand,ft80L,ft20L,ft100L,DDD cbacba
evbcbaa
2
KKK2LLLD
fK
g2
Vft75
Chapter 6Fluid
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on Example 1-2 (Book)
78
0.1K:exitsand,f55K:valve,f30K:elbows,78.0K:entrance eTvTba
78.1f115
D
f200
g2
Vft75 T
2
Nominal size ½” ¾” 1” 1 1/4 ” 1 1/2” 2” 2 ½, 3”
Friction factor fT 0.027 0.025 0.023 0.022 0.021 0.019 0.018
Nominal size 4” 5” 6” 8-10” 12-16” 18-24”
Friction factor fT 0.017 0.016 0.015 0.014 0.013 0.012
Chapter 6Fluid
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on Example 1-2 (Book)
79
D(ft)
ε/D V(ft/s)
ReD f fT (200f/D+115fT+1.78) H(ft)
0.1 0.00150 25.46 1.819X105 0.0228 0.023 50.036 504.20
0.2 0.00075 6.37 9.095X104 0.0213 0.018 25.126 15.82
0.15 0.00100 11.32 1.213X105 0.0216 0.020 32.894 65.48
0.14 0.00107 12.99 1.299X105 0.0218 0.020 35.152 92.91
0.145 0.00103 12.10 1.254X105 0.0217 0.020 33.959 77.42
0.147 0.00102 11.78 1.237X105 0.0216 0.020 33.534 72.37
0.146 0.00103 11.95 1.246X105 0.0217 0.020 33.770 74.90
Chapter 6Fluid
Mech
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on Generalized Series Piping System Software
80
Generalized Series Piping System Schematic
Figure 1-2
Chapter 6Fluid
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on Generalized Series Piping System Software
81
'1T
'1
1
11
21
b
2bb
a
2aa KfC
D
Lf
g2
Vz
g2
VPz
g2
VP1
g
gWKfC
D
Lf
g2
V cs
'2T
'2
2
22
22
2
Chapter 6Fluid
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on Generalized Series Piping System Software
82
iTii
ii4
i
2J
1i2ab
abcs KfC
D
Lf
gD
Q8zz
PP
g
gW
i
222
211 D
4VD
4VQ
2211 AVAVQ
Chapter 6Fluid
Mech
anic
s and A
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ati
ons
Inte
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Bayam
on Generalized Series Piping System Software
The example 1-2 in generic form appears as
For a simple-pipe system, the symbolic form of the generic energy equation becomes
83
KCfD
Lf
gD
Q8zz
PP
g
gW T4
2
2ababc
s
78.1f115
D
f200
g2
V750 T
2
Chapter 6Fluid
Mech
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on Parallel Piping Systems
84
Chapter 6Fluid
Mech
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ati
ons
Inte
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on Parallel Piping Systems
Flow in parallel piping elements is also easy to analyze. In a parallel arrangement the total head loss or pressure drop across the system is constant. That is
On the other hand, the volumetric flow through the system is the sum total of the individual flow in each pipe. That is
85
Chapter 6Fluid
Mech
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s and A
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ati
ons
Inte
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Bayam
on Parallel Piping Systems
Parallel systems are often used to reduce the pumping power required for process-control system.
The following figure shows a generalized parallel system.
86
Chapter 6Fluid
Mech
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ati
ons
Inte
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Bayam
on Parallel Piping Systems
The increase in head across the pump, Ws, is such that the pressures at a and b are equal. The change in pressures (or heads) are equal for each leg of the parallel arrangement; hence Ws is also the change in head across each leg required for Pa = Pb. If QT is the total flow rate, the conservation of mass yields
The energy equation for line i, under the assumptions of Pa = Pb and Va = Vb, can be expressed
87
321T QQQQ
iTi
i
ii4
i
2i
2abc
s KfCD
Lf
gD
Q8zz
g
gW
i
Chapter 6Fluid
Mech
anic
s and A
pplic
ati
ons
Inte
r -
Bayam
on Parallel Piping Systems
Analysis or design calculations for parallel piping require the use of the conservation mass and an energy equation, for each line. For example for a system composed of two parallel lines the requirement expressions are:
Together with the usual friction-factor and Reynolds-number definitions.
88
21T QQQ
1T1
1
114
1
21
2abc
s KfCD
Lf
gD
Q8zz
g
gW
1
2T2
2
224
2
22
2abc
s KfCD
Lf
gD
Q8zz
g
gW
2
Chapter 6Fluid
Mech
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s and A
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ati
ons
Inte
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Bayam
on Parallel Piping Systems
Two types of parallel-system analysis problems are evident in the last equations: (1) given Ws, find QT, Q1 and Q2; and (2) given QT, find Ws, Q1
and Q2. Type 1 problems are straightforward, as they can
be solved by category II problem methodology. Type 2 problems are more complex, since the
total flow rate must be apportioned to each of the parallel lines in such manner that the pressure drops across each line are equal. We can list a simple sequence to systematically accomplish this apportionment:
89
Chapter 6Fluid
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on Parallel Piping Systems
1. Assume a discharge Q’i through pipe i of the parallel system. Solve for the head loss h’fi
(or pressure drop
Δp’i) through pipe i; this is a category I pipe-flow solution.
2. Using h’fi= h’fj
(i≠j), solve for the Q’i (i≠j). This is a category
II pipe=flow solution.
3. Redistribute the total flow rate QT by the simple ratio process
where K is the total number of pipes
5. Check the hfk (k=1, K) for the equality using the Qk
(k=1,K) obtained from the step 3. Repeat steps 1 through 4 until convergence is obtained.
90
)K,1l,K,1k(QQ
QQ T
l
'l
'k
k
Chapter 6Fluid
Mech
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ati
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Inte
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on
91
Chapter 6Fluid
Mech
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on Example 1-5(Book)
Consider the parallel flow network of the following figure with the following specifications:
92
(1)
(2)
● BA ● s/ft00003.0
slugs/ft 22
3
L1=3000 ft, PA=80 psia, L2=3000 ft
D1=1 ft, ZA=100 ft, D2=8 in
ε1 =0.001 ft, ZB=80 ft, ε2 =0.0001 ft
ε1/D1=0.001, ε2/D2=0.00015
QA=5.3 ft3/s
Find Q1, Q2 and PB
Chapter 6Fluid
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on Example 1-5(Book)
Solution: This is a type 2 problem Step1: Assume Q’1 = 3 ft3/s. Apply the energy
equation along line 1 from A to B to obtain
Assuming that VA=VB. Finding h’f1with Q’1 specified is
a category I problem, and we have
93
g
ghzzKfC
D
Lf
gD
Q8zz
g
gW c
fab1T11
114
1
21
2abc
s 11
s/ft82.3A
QV
1
'1'
1
5
1
1'
1D 10x273.1
DVRe
1
Chapter 6Fluid
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on Example 1-5(Book)
So f’1=0.0022, and
Step2: The loss for pipe 2 must then become
Finding Q’2 for h’f2=14.97 ft-lbf/lbm is category II
problem. We shall use V’2 as the iteration variable. The results are given in the following table
94
lbm
lbfft97.14
D
Lf
gD
Q8'h
1
1'14
1
21
2f1
lbm
lbfft97.14'h'h
12 ff
Chapter 6Fluid
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ati
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on Example 1-5(Book)
Step3: From step2, Q’2=V’2A2=1.411ft3/s and ΣQ’l=1.141+3=4.141ft3/s. We find the corrected values by using
95
sftQ /84.33.5141.4
3 31
V’2 (ft/s) ReD f’2 h’f 2(ft-lbf/lbm)
1 22,233 0.0265 1.859
4 88,932 0.0192 21.47
3.27 72,702 0.0200 14.94
sftQ /46.13.5141.4
141.1 32
Chapter 6Fluid
Mech
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s and A
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ati
ons
Inte
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Bayam
on Example 1-5(Book)
Step4: Using Q1=3.84ft3/s and Q2=1.46ft3/s, we compute V1, V2, ReD1
, ReD2, f1 and f2, to find
The heat losses in the pipes then agree to 0.54 percent, which is sufficient.
With the flow rates in each line and the head loss for the parallel segments knows, Ws is computed from the first equation in step1.
96
lbm
lbfft85.23h
1f
lbm
lbfft98.23h 2f
Chapter 6Fluid
Mech
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s and A
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ati
ons
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on Example 1-5(Book)
Thus, a pump with an increase in head of 3.91 ft-lbf/lbm would be required for the system to pass 5.3 ft3/s while maintaining PA=PB.
97
lbm
lbfft91.3W
ft91.3ft91.23ft20sft
174.32
slbflbmft
174.32
lbm
lbfft91.23ft100ft80
g
ghzz
g
gW
s
2
2c
fabc
s 1
Chapter 6Fluid
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on Generalized Parallel Piping System Software
98
21T QQQ
1T1
1
114
1
21
2abc
s KfCD
Lf
gD
Q8zz
g
gW
1
2T2
2
224
2
22
2abc
s KfCD
Lf
gD
Q8zz
g
gW
2
21 QQ3.5
1
114
1
21
2c
s D
Lf
gD
Q820
g
gW
2
224
2
22
2c
s D
Lf
gD
Q820
g
gW
Chapter 6Fluid
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on Series-Parallel Network
99
Chapter 6Fluid
Mech
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s and A
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Inte
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Bayam
on Series-Parallel Network
In a series-parallel pipe network as shown in previous figure, we must apply rules which are analogous to the analysis of an electric circuit. In previous figure only shows the pipe network in 2-Dimensions. In reality, a pipe network is most often three dimensional. Thus, the elevations of each nodal point need to be considered when writing the extended Bernoulli equation. The following rules apply in any network of pipes:
100
Chapter 6Fluid
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on Series-Parallel Network
Application of these rules leads to a complex set of equations which must be solved numerically. These are easily dealt with in most mathematical/numerical analysis programs. However, a method of hand calculation know as the Hardy-Cross Method may also be applied. This method is the basis for most computer software developed for analyzing piping systems.
101
Chapter 6Fluid
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on Hardy-Cross Method
The Hardy-Cross formulation is an iterative method for obtaining the steady-state solution for any generalized series-parallel flow network. Its great advantage is systematicness.
The Hardy-Cross method can be systematically applied to any fluid flow network, and if the guidelines are followed, a converged solution will always be obtained.
The basis for any Hardy-Cross analysis technique is the same as for series-parallel flow network analysis (1) conservation of mass at a node and (2) uniqueness of the pressure at a given point in the loop.
102
Chapter 6Fluid
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on Hardy-Cross Method
A modified version of the head-loss of the Darcy-Weishbach expression called Hazen-Williams expression
Where K and n are determined either by experiment or by curve fits using the Moody diagram.
C is called the Hazen-Williams coefficient
nf KQh
852.18704.4852.1
1f Q
DC
Lkh
852.1nand,DC
LkK
8704.4852.11
103
Chapter 6Fluid
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on Hardy-Cross Method
Table 1-5 Hazen-Williams Coefficients
Types of pipe C
Extremely smooth and straight pipes 140
New, smooth cast iron pipes 130
Average cast iron, new riveted steel pipes 110
Vitrified sewer pipes 110
Cast iron pipes, some years in service 100
Cast iron, in bad condition 80
104
Chapter 6Fluid
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on Hardy-Cross Method
Table 1-6 values of k1 for Different Units
Units of Q k1
CFS (ft3/s) 4.727
MGD (million gals/day) 10.63
CMS (m3/s) 10.466
105
Chapter 6Fluid
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on
106
Chapter 6Fluid
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ati
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on Example 1-8
Use the Hardy-Cross method to obtain the flow rates in each lines of the network as follow. (C=130)
3 cfs
1 cfs
2 cfs
4000’
6”
3000’
6”
2000’
12”1000
’8”
3000’
8”
2000’
8”
2000’
8”
107
Chapter 6Fluid
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on Example 1-8
Solution: Step 1:We begin by dividing the network into loops
and numbering all pipes and nodes in each loop.
The system has 6 nodes (s=6) and 7 lines (r=7)
3 cfs
1 cfs
2 cfs
A
F
B
E
D
C
3
6
2
7
4
5
1
Loop 1
Loop 2
108
Chapter 6Fluid
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on Example 1-8
Steps 2 and 3:Determine the zeroth estimate for the flow rate and obtain the flow rates for all lines in such manner that conservation of mass is satisfied at each node.
To start the process, we shall assume that Q5=1.0cfs. Then visiting each node in turn, we obtain:
Node B:Q5=1.0 cfs
Q6=1.0 cfs
Node C:
Q6=1.0 cfs
Q7=-1.0 cfs
2 cfs
Node D:
Q1=?
Q2=?
Q7=-1.0 cfs
109
Chapter 6Fluid
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on Example 1-8
Here we make the second assumption, Q1=-0.8cfs.
Node F:Q5=1.0 cfs
Q3=-1.2 cfs
Node E:
Q3=-1.2 cfsQ2=-0.2 cfs
1 cfs
Node D:
Q1=-0.8cfs
Q2=-0.2cfs
Q7=-1.0 cfs
Q4=-1.2 cfs
Node A:
Q1=0.8cfs
Q4=-1.2cfs
Q5=1.0 cfs
3 cfs
110
Chapter 6Fluid
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on Example 1-8
Steps 4 and 5: Now determine a correction factor ΔQi for each loop
Where J is the number of line in the loop and Kj equals the constant for jth line.
After obtaining ΔQi for each loop, obtain algebraically a new value for the flow rate in each line; that is
J
1jJ
1j
1n0jj
1n0j
0jj
i
QKn
QQKQ
i0j
1j QQQ
111
Chapter 6Fluid
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on Example 1-8
Converged solution
3 cfs
1 cfs
2 cfs
Q1=1.8596 cfs
Q3=-0.2431 cfs
Q6=0.8973 cfs
Q4=-0.2431 cfs
Q5=0.8973 cfs
Q2=0.7569 cfs
Q7=-1.1027 cfs
112
Chapter 6Fluid
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on Generalized Hardy-Cross Analysis
The Hardy-Cross analysis has been restricted to flow networks in which the pipe wall friction represented the only loss (i.e., minor loss has been neglected).
If the line lengths are short enough so that minor losses are important, the equivalent-length approach can be used to include the losses due to fittings.
The equivalent length is additional length of pipe needed to give the same head loss (or pressure drop) as a fitting at a giving flow rate. Hence the equivalent length Leq is obtained by equating the loss-coefficient expression to conventional head-loss expression, i.e.,
c
2eq
c
2
g2
V
D
Lf
g2
VK
f
DKLeq
113
Chapter 6Fluid
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on Generalized Hardy-Cross Analysis
The generalized Hardy-Cross analysis can be used for piping network in which the lines can contain devices that result either in additional pressure drop (a heat exchanger or turbine, for example) or in a pressure increase ( a pump, for example).
Device
Lj
Dj
Qj
114
Chapter 6Fluid
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on Generalized Hardy-Cross Analysis
Consider a typical line, line j with length Lj, and some device in the line that causes either a head decrease or increase.
In general, the change in head hfD across the device
will depend on the flow rate
The functional dependence can be represented by the polynomial expression
)Q(gh jD j
M
1m
mjm0jD QBBh
j
115
Chapter 6Fluid
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on Generalized Hardy-Cross Analysis
Where M represents the degree of polynomial. The Bjm’s can have positive, negative or zero values depending of the particular device being described.
The head loss through a fitting is typically described by
The coefficients in the polynomial expression then take the values
2j
2j
cj
c
2j
jD A
Q
g2
1K
g2
VKh
j
2jc
j2j1j0j Ag2
1KB,0B,0B,2M
116
Chapter 6Fluid
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on Generalized Hardy-Cross Analysis
Since this represents a positive head loss for loop flow in the positive flow direction, Bj2>0. If an ideal backward curved blade centrifugal pump is used, the representation is
Note that hDj must be less than zero, because a pump
represents a negative head loss (i.e., an increase in head).
j1j0jD QBBhj
J
1j
M
1m
1m
jjm
1n
jj
J
1j
M
1m
1m
jjjm0jj
1n
jjj
i
QmBQnK
QQBB)Qsgn(QQK
Q
117
Chapter 6Fluid
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on Generalized Hardy-Cross Analysis
Where sgn(Qj)=1 When Qj>0 and sgn(Qj)=-1 When Qj<0.
118
Chapter 6Fluid
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For the network of Example 1-8, investigate the effects of adding
a) A pump with hD =-(50-0.4Q) ft-lbf/lbm to line 6
b) A heat exchanger with hD =50Q2 ft-lbf/lbm to line 6
c) A very large pump with hD =-1000 ft-lbf/lbm to line 6
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0.0B,4.0B,0.50B 626160
50B,0B,0B 626160
0B,0B,1000B 626160
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a) A pump with hD =-(50-0.4Q) ft-lbf/lbm to line 6
3 cfs
1 cfs
2 cfs
Q1=0.963 cfs
Q3=-0.208 cfs
Q6=1.828 cfs
Q4=-0.208 cfs
Q5=1.828 cfs
Q2=0.792 cfs
Q7=-0.172 cfs
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b) A heat exchanger with hD =50Q2 ft-lbf/lbm to line 6
3 cfs
1 cfs
2 cfs
Q1=0.963 cfs
Q3=-0.259 cfs
Q6=0.558 cfs
Q4=-0.259 cfs
Q5=0.558 cfs
Q2=0.741 cfs
Q7=1.442 cfs
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c) A very large pump with hD =-1000 ft-lbf/lbm to line 6
3 cfs
1 cfs
2 cfs
Q1=4.658 cfs
Q3=0.230 cfs
Q6=7.888 cfs
Q4=0.230 cfs
Q5=7.888 cfs
Q2=1.230 cfs
Q7=5.888 cfs
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Chapter 6Fluid
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on Friction-Factor-Based Hardy-Cross Method
If the fluid is not water, the procedure outlined in the previous slides can be used, but a more direct approach in to develop the major losses in a friction-factor form rather than a Hazen-William form
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Chapter 6Fluid
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Chapter 6Fluid
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Economic considerations are important in most energy systems, and estimating the cost of a project in an integral part of any bidding procedure.
www.RSMeans.com Typically values for the purchase and installation of
schedule 40 commercial steel piping are as follows:
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Nominal diameter (in.) Cost per foot ($)
1 11
2 20
3 30
4 40
5 55
6 70
8 90
10 130
12 160
Chapter 6Fluid
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The values do not include the cost of purchase of land, trenching, backfilling or disposal of old (replaced) systems.
Pump cost are more varied, but an order-of-magnitude estimate is given by the following expression:
Where hp is the power output of the pump and the pump cost is in dollars.
The energy charge is based on the kW-h (kilowatt-hour. The cost of kW-h varies $0.02 for large industrial costumers to as such as $0.15.
Typical value $8-10 per kW
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5.0130/hp6000tcosPump
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Chapter 6Fluid
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The best way to select an appropriate type of pipeline is to compare the inside diameter of various pipe materials that might be part of the design of a project.
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DIPS: Ductile Iron PipePCCP: Prestressed Concrete Cylinder PipeHDPE: High Density Polyethylene
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Chapter 6Fluid
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Chapter 6Fluid
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For a 24-inch nominal diameter water transmission pipeline that is 30,000 feet long with water flowing at 6,000 gpm, the cost is $0.06/kW-h, 70 percent of pumping efficiency and the pump will operate 24 hours per day. Calculate the pumping Costs of all type of pipes.
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Due, Wednesday, March ??, 2011
Omar E. Meza Castillo Ph.D.
Homework5 Webpage
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