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8/16/2019 Turbulent Flow(Final)
1/41
A d v a n c e d F l u i d M e c h
a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
TURBULENT FLOW
Presented by:
Prof. D.Rashtchian
8/16/2019 Turbulent Flow(Final)
2/41
A d v a n c e d F l u i d M e c h
a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Turbulent transport of momentum
Turbulence of random velocity fluctuations- Use statistical methods
Turbulent velocity iu~
ˆ ~ iii uU u +=
Component Velocity
gFluctuatin Mean
*************************
Fig.1
Interpret Ui as a time averaged velocity defined by:
( )∫∫ ≡+== ∞→∞→T
iiiT
T
iT
i udt uU T
dt uT
U
00
~ˆ1
lim~1
lim
( )
∫∫ =−=−==
∞→∞→
T
iii
T
i
T
i
T
i U U dt U
T
U dt u
T
u00
01
limˆ1
limˆ
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A d v a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
i.e. the mean value (or time average) of the fluctuating quantity is zero. Assume that
Ui the mean flow is steady (∂Ui/∂t = 0)
Note: Time averaging commutes w.r.t. differentiation.
( )i
j j
iT
i j
T
j
i
j
i
u x x
U
dt uT xdt x
u
T x
u ~~1~1~
00 ∂
∂
=∂
∂
=
∂
∂
=∂
∂
=∂
∂
∫∫
The time average of the fluctuationiû is zero, but the average of the square of the
fluctuation is not zero and the quantityi
i
U
u 2ˆ is used as a convenient measure of the
turbulent fluctuation-known as the "intensity of turbulence" and ranges from 0.01 to
0.1 for most turbulent flows.
( )2ˆiu r.m.s. velocity.
Mean K.E./unit volume =( ) ( )
nsfluctuatioflowmean
ˆ2
1ˆ
2
1 22
+
+=+= iiii uU uU KE ρ ρ
8/16/2019 Turbulent Flow(Final)
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A d v a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Equations for the mean flow
Consider the momentum and continuity equations. These apply to the instantaneous velocity
in a turbulent field.
j j
i
i j
i j
x x
u
x
p
x
uu
∂∂
∂+
∂
∂−=
∂
∂ ~~1~~2
ν ρ
0~
=∂∂
i
i
x
u )1(
The equations must apply on average
ˆ~iii uU u +=
Continuity
( )0ˆ
~~1lim
0
=∂
∂=+
∂
∂=
∂
∂=
∂
∂
∫∞→ i
i
iiii
iT
i
i
T x
U uU
x x
udt
x
u
T (2)
The mean value satisfies continuity. It is the mean value of velocity that we measure and
require in applications.
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A d v a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Momentum:
The equations of motion for the mean flow Ui are obtained by taking the time average of all
terms in the resulting equation.
Consider each term:
( )( ){ }
{ }
{ } (2.1) )ˆˆ(ˆˆ
ˆˆˆˆ
ˆˆ
~
~)~~(
~
~ (i)
i j
j j
i j ji ji
j
i j jii ji j
j
ii j j
j j
j
ii j
j j
i j
uu x x
U U uuU U
x
uU uU uuU U x
uU uU x x
u
uuu x x
uu
∂
∂+∂
∂=+∂
∂=
+++∂
∂=
++∂
∂=
∂
∂
−∂
∂=∂
∂
(2.2) 1
)ˆ(1~1
(ii)i
i
ii x
P p P
x x
p
∂
∂−=+
∂
∂−=
∂
∂−
ρ ρ ρ
( ) (2.3) ˆ~
(iii)222
j j
iii
j j j j
i
x x
U uU
x x x x
u
∂∂
∂=+
∂∂
∂=
∂∂
∂ν ν ν
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A d v a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Hence
(3) )ˆˆ(1
2
i j
j j j
i
i j
i j uu
x x xU
x P
xU U
∂∂−∂∂∂+∂∂−=∂∂ν
ρ
Equation for mean flow has an additional term.(Drop the ^ i ji j uuuu =⇒ ˆˆ )
Term j
i j
x
uu
∂
∂ is analogous to the convective term
j
i j x
U U ∂
∂;
It represents the mean transport of fluctuating momentum by turbulent velocity
fluctuations.
If iû and jû uncorrelated i.e. 0=i juu - no turbulent momentum transfer but
experience shows that 0≠i juu - momentum transfer is a key feature of turbulentmotion.
Term )ˆˆ( i j j
uu x∂
∂thus exchanges momentum between the turbulence and the mean
flow (equation 2.1)even though the mean momentumof the turbulent velocity
fluctuations is zero ( 0~ =iu ρ ).
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A d v a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Because of the decomposition iii uU u ˆ~ += , turbulent motion can be perceived as something which
produces stresses in the mean flow. For this reason, equation (3) may be rearrange so that all stresscan be put together.
)(ˆˆ ji j
i j
i
j
j
i ji
j j
i j T
xuu
x
U
x
U P
x x
U U
∂
∂=
−
∂
∂+
∂
∂+−
∂
∂=
∂
∂ ρ µ δ ρ - mean stress tensor.( τ τ ˆ~ += T )
∂
∂+
∂
∂=−+−=
i
j
j
i jii j ji ji ji
x
U
x
U uu P T µ σ ρ σ δ ; ˆˆ
(shear) (normal)
The contribution of the turbulent motion to the mean stress tensor is i jT
ji uu ρ σ −= called the
Reynolds stress tensor. Define, T ji ji σ σ +=Ω ji
8/16/2019 Turbulent Flow(Final)
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A d v a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Turbulent shearing stresses
Time averaging of the equations of motion leads to the Reynolds stress tensor, i juu ˆˆ ρ .
iû and jû are the velocity fluctuations in the ji ≠ directions at one point and jiuu is a
measure of the "correlation" between the fluctuations.
Correlated variables
( )( ) ji ji j jii ji uuU U uU uU uu +=++= ˆˆ~~
If 0≠ jiuu , iû and jû are said to be correlated i.e. dependent.If 0= jiuu , uncorrelated i.e. iû and jû are independent.
8/16/2019 Turbulent Flow(Final)
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A d v a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Fig2(a)
1
0
12
21
=
>
R
uu
Fig2(b)
1
0
12
21
−=
<
R
uu
Fig2(c)
1
0
12
21
≈
≈
R
uu
8/16/2019 Turbulent Flow(Final)
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A d v a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
A measure of the degree of correlation between 1û and 2û is obtained from:
{ }2
1
22
21
21
ˆ.ˆ
ˆˆ
uu
uu
( )2
1
0
22
021
2112
ˆ1
limˆ : ˆˆ1
lim
==′
′′= ∫∫ ∞→∞→
T
iT
i
T
iT
dt uT
uudt uu
uu
T R
21
2112uu
uu R ′′=
N.B. abbaba ≥+⇒≥− )(2
10)( 222
Hence ∫ ≤
+≤ ∞→T
T dt
uu
uu
T R
0 2
2
2
2
2
1
2
112 1
ˆˆ
ˆˆ1lim
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A d v
a n c e d F l
u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Pure shear flow
Consider a turbulent shear flow with U1(x2) the only non-zero velocity component.
Ω12 is the only component of the mean stress tensor, 122
112
ˆˆ uu xU ρ µ −
∂∂=Ω
Ω12 – stress in 1 direction on face, normal in 2 direction and must result from
molecular transport of momentum in the x2 direction, and turbulent transport.
Assume 02
1 >∂
∂
x
U .
A fluid particle with positive 2û is being carried by turbulence in positive x2
direction. It is coming from a region where the mean velocity is smaller i.e. is likely
to be moving downstream more slowly than its new environment. Thus 1û is negative.
Similarly negative 2û associated with positive 1û .
************************
Fig3
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A d v
a n c e d F l
u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
{Momentum/unit volume of flow at A in 1-direction} = )ˆ(~ 111 uU u += ρ ρ
The x1-momentum is transported in the x2-direction if u1 and u2 are correlated.
{Flux of x1-momentum in x2-direction} = 211 ˆ)ˆ( uuU + ρ
{Average flux of x1-momentun in x2-direction} = 21 ˆˆ uu ρ
1û and 2û are negatively correlated: 122112 uuT T ρ σ σ −==
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A d v
a n c e d F l
u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Turbulent Channel Flow
The Navier-Stokes equations in rectangularcoordinates are
)(12
ji
j j j
i
i j
i j uu
x x x
U v x
P
x
U U ∂
∂−∂∂
∂+∂∂−=
∂∂
ρ
For parallel, fully developed, 2 D flow
0...0;0
0
31
32
=∴
=∂
∂=
∂
∂
==
S H L
x
U
x
U
U U
ii
0)(1
=∂∂
jiuu x
; 0)( 33
=∂
∂ uu x
i
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A d v
a n c e d F l
u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Hence the equations can be written in the simplified form,
)(1
02
2
uv y y
U v
x
P
∂
∂−
∂
∂+
∂
∂−= ρ
(1)
)(1
0 2v y y
P
∂
∂−
∂
∂−= ρ
(2)
At the walls 2v = 0, P = P0(x) . Hence form (2)
20 v P P
+= ρ ρ
(3)
dx
dP
x
P
x
P 00 =∂
∂=
∂
∂ (4)
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A d v
a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Hence (1) can be integrated from y=0 to y with 00
== y
uv
uv y
U v
y
U v
dx
dP y
y
−∂
∂−
∂
∂+−=
=0
0 )(0 ρ
At y=h, uv=0, 0/ =∂∂ yU (zero velocity gradient, no correlation)
0
0 )(=
∂
∂=−=
y
w
y
U
dx
dP h
ρ
µ
ρ ρ
τ
Defining a friction velocity u*
2
∗= uw ρ τ
Substituting in (5)
)1(2*h
yu
y
U vuv −=
∂
∂+−
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A d v
a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Equation (8) may be written in dimensionless form in 2 ways.
(I))1(
)/(
)/( *
*
2
* h
y
h yd
uU d
hu
v
u
uv−=+
−
R* =u* h/v. As R* becomes large, (R* is of course a Reynolds number), the
viscous stress is suppressed. Such a limit will not applied because viscous
forces must always dominate near solid boundaries.
(II)*
*
*
*
2
*
.1)/(
)/(
hu
v
v
yu
v yud
uU d
u
uv−=+−
In this case as R* becomes large the change in total stress becomes small.Defining appropriate dimensionless variables
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Chemical & Petroleum Engineering Department
Sharif University of Technology
;*
v
yu y =+
∗
=+u
U u
; h
y=η
Then
η η
−=++− 11*2* d
du Ru
uv (11)
*2* 1 R
y
dy
du
u
uv +
−=+
+
+− (12)
Law of wall
For large R* (from 12)
12
*
=+
++−
dy
du
u
uv (13)
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A d v
a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
The solution of this equation must be of the form,
)(2
*
+=− y g u
vu; )( +=+ y f u (law of the wall) (14)
For sufficiently small y+, turbulent stress negligible.
1=+
+
dy
du ; with u+(0)=0 (15)
u+ = y+
Core region
For large R* (from 11)
( )η −=−∗
12u
uv
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A d v
a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
This equation gives no information, about U itself. However h and u* are the only feasible
length and velocity scales, we can write
η d
dF
h
u
dy
dU *= Where F(η ) is some function of η . (17)
Integration from the center where U=U0
)(*
0 η F u
U U =
− (18)
From equation (14),
)(*
+= y f u
U ;
+
+=
dy
ydf
v
u
dy
dU )(2
* (19)
Matching (17) & (19),
+
= ∗∗
dy
df u
d
dF
h
u
ν η
2
. ;
K dy
df y
d
dF 1==
++
η
η (20)
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.ln1
)( const K
F += η η .ln1
)( const y K
y f +=+ +
Hence
.ln1
*
0 const
K u
U U +=
−η .ln
1
*
const y
K u
U += +
Discussion
To simplify (12) to (14) requires 1* 〈〈=
+η R
y
(a)
To simplify (11) to (16) requires η η
−〈〈+
1*
1
d
du
R (b)
Matching only possible if ∞→+ y
0→η
In practice it is found that
<
>+
1.0
100
η
y are sufficient
A d v
a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
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A d v
a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Now 1.0+ y 100* >∴ Rη
/100* >∴ R 1.0∴ R Experimentally
η η 5.2=+d
du
η η *
5.2
*
1
Rd
du
R=
+∴
Hence )1(*
5.2
*
1η
η η −
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Also from (20) K dy
df y
1=
++
.)ln(
1
)( const y K y f +=∴
++
(21)
Experimentally
0.1ln5.2*
0 −=−
η u
U U
0.5ln5.2
*
+= + y
u
U
A d v
a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
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a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
Application
1. For Engineering Purposes these
equations have been used for 1.0>η ,i.e. to describe the core region, and
also for 0→η . Note as
0→η , −∞→=+ */ uU u
2. Sometimes the Universal Velocity
profile is used.
Equn. (15) u
+
=y
+
for y
+
≤ 5
Equn. (21) u+=2.5lny
++5.0for y
+ ≥ 30.
Limits determined experimentally.
A curve fit for 5
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A d v
a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
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Example of use of turbulent velocity profiles.
momentum transfer
Friction factor 2
2
*
2
2
2
1 U
u
U
f ==
ρ
τ ω
Using the velocity defect law for flow in a tube
*
0
0 *
0
22.
1
u
U U rdy
u
U U
h
h y
y
−=
−∫=
=
π π
∫
=
= −=
1
02 }1ln5.2{
2µ
η η η π
π
d hh
r
ow y-hr = ; η η hd dyh y =→= / ; )1( η −= hr
=1)(
ηUU
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Hence ∫=
−−=− 1
0*
0 }1ln5.2){1(2)(
η
η
η η η d u
U U
Also from experimental results
0.1ln5.2**
0 +−= η u
U
u
U
0.50.1ln5.2ln5.2 ++−= + η y 0.6*ln5.2 += R
22
Re
2
**
2 f u f
v
h
v
hu R ===
6]22
Reln[5.2
*
0 += f
u
U
10
222
*
]24
5ln2
525ln5[6]22
Reln[5.2 η η η η η η η η ++−−−++= f uU
53.022
Relog07.4
110 +
= f
f
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a n c e d F l u i d M e c h a n i c s
Chemical & Petroleum Engineering Department
Sharif University of Technology
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Mass transfer : Turbulent Taylor Analysis. Proc. Royal. Soc. (1954), A223, P446, for Axial Dispersion in turbulent pipe flow.
Consider diffusion equation in rectangular coordinates for simplicity.
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a n c e d F l u i d M e c h a n i c s
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Turbulence in pipe flows
Scope of Turbulence
Most flows in nature: rivers, the atmosphere
Engineer: pipe flow, packed and plate column
Pipe Flow
Laminar sublayer - viscous forces dominate, very thin
Transition region - region of damped turbulence because of nearby wall,
eddy size y.
Turbulent core - region of fully developed turbulence, eddies of size d,
velocity nearly constant.
T b l V l i i
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Turbulent Velocities
-
local downstream velocity fluctuates due to turbulent eddies .decompose
+
=
+=
velocity
eddy
velocity
localmean
velocity
us Instantane
uuu t ˆ
-
definition of u (mean velocity)
∫= T
t dt uT
u0
1
-
clearly the average of the eddy velocity is zero
0ˆ1
ˆ11
)ˆ(1
0
0 00
=
+=+=
∫
∫ ∫∫
dt uT
dt uT
udt T
dt uuT
u
T
T T T
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A d v
a n c e d F l u i d M e c
h a n i c s
Chemical & Petroleum Engineering Department
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- the magnitude of turbulent velocities is characterized by the RMS
-
21
0
2ˆ1
=′ ∫
T
dt uT
u
(RMS fluctuating or eddy velocity.)
-
the turbulence intensity is defined by,
turbulent intensity =
u
u′(typically up to 0.1) i.e. the average eddy velocity
may be 1/10 of the mean velocity.
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a n c e d F l u i d M e c
h a n i c s
Chemical & Petroleum Engineering Department
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Properties of turbulent flows
(with particular reference to pipe flows)
1) Irregularity local velocities fluctuate in random manner. But all
turbulent flows are irregular. E.g. smoke plume.
2) 3D Nature pipe flows are normally considered as 1 dimension in
that downstream velocity depends only on radius. However in
turbulent flows normal velocity components, though zero on average,have fluctuating components, (V ̂ and W ˆ ). These give rise to
turbulent stresses (remember the mail bag example) and are important
in turbulent energy processes. This 3D nature adds the mathematical
difficulty.
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3) Turbulence is a property of the flow not of the fluid writing Newton’slaw for a flow involving turbulent stresses.
dy
duT )( ν ν
ρ
τ +−= ; [divided by ρ ]
Where ρ
µ ν = is the kinematics viscosity . [ ]
[ ]T L 2
=T ν eddy viscosity
In laminar sub layer ν ν T
Thus T υ varies with environment and is a flow property.
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4) Mixing in turbulent flows-diffusivity
Rewrite Newton’s law in the form, explicit in shear stress.
( )dy
ud T
ρ ν ν τ )( +−=
Dimensions :[ ][ ][ ] [ ]
[ ][ ][ ]
[ ][ ] L
L
U M
T
L
T L
U M 32
2.=
i.e. (momentum flux) = (diffusivity) * (gradient of momentum / volume)
- this fundamental relation shows how transport (here of momentum) is related
to the driving force (momentum gradient).the coefficient, υ , is the momentumdiffusivity. It shows how large a flux is produced by a given gradient. Exactly
analogous laws apply for heat transfer (Fourier's Law) and mass transfer
(Flick's law).
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Chemical & Petroleum Engineering Department
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- Now ν ν ffT in turbulent flows.
Turbulent is a very effective mixer of momentum which accounts for
the almost constant velocity of the core region will usually be of almost
constant temperature and composition.
But T ν ν ff in laminar sublayer .
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In laminar flow it is the molecular motion which transports momentum.(Remember mail bag example). Hence lower rates of transport for a given
driving force. Alternatively if we consider heat transfer from the wall to
bulk, heat conduction across the laminar sub layer dominates the process
(Heat transfer comes later).
- Pictorially
Eddy gives rise to normal velocity V ̂ .This transports x directional momentum
in the y direction gives rise to a
momentum flux, or shear, .τ
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5) Dissipative Nature of Turbulence.
- Turbulence comprises eddies of all sizes.
- The largest eddies are as big as the flow field. They extract energy from the
flow but are not efficient at dissipating energy. In the absence of an energy
source, however, turbulence dies away .
- There is an energy cascade from the large eddies, through eddies o
progressively smaller size until a lower limit is reached. This lower limit is
controlled by viscous dissipation of energy and Kinematics viscousity and the
rate of energy supply are the important quantities. Based on dimensional analysis
this lower limit of eddy size is given by:
434
3
Re−=
′
=d ud
ν η
Where = size of small eddies; =ν kinematics viscosityd = size of largest eddies; u' = RMS turbulent velocity
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( )
=
d v
si
6
( )
=×=
d d
d
v
sii
12
4
68 3
2
( )
=×=
d d
d
v
s
iii
24
16
6
64
32
∝ v s
volume surfaceratendissipatio
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High Reynolds number phenomenon
- Express Newton's Law of viscosity in dimensionless form.
+
+
+ −=
−=−== dy
du
d y
d u
ud
dydu
d ud
u Re1
Re122 ρ
µ ρ τ τ
Reynolds's number arises in dimensionless form of Newton's Law.- Similarity: compare two flows in similar geometries(same shape but
different size)i.e. flows exhibiting geometrical similarity. Suppose
Reynolds numbers of each flow are the same though d,u, ρ and µ of
each flow may be individually different. Then as a consequence of theabove equation each flow will have the same dimensionless distribution
of stress and velocity gradient as a function of position,
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Stress and velocity gradient as a function of position, provided each has the same
Reynolds number;i.e. u+ = f(y+) kinetic similarity
τ+ = g(y+) dynamic similarity.
The consequence is that friction factor (dimensionless wall shear stress) can be
considered a unique function of Re.Consider a cylindrical element of diameter d and length of δx
Viscous forces ∝ xd dr
duδ π µ .
Interia forces ∝ dt du xd e δ π 4
2
Re≡∝dt
dr d
cesViscousFor
ces InteriaFor
µ
ρ
High Re-interia forces dominate → Turbulent flowLow Re-viscous forces dominate → Laminar flow
Summery Notes on Turbulence
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Summery Notes on Turbulence
• Most flows are turbulent both in nature and engineering.
•
A turbulent pipe flow can be divided into three regions:
a) Laminar sublayer - no eddies.
b) Transition region – damped eddies (size y)
c) Turbulent core – undamped eddies (size d)
•
Turbulent velocities:
uuut ˆ+= {Instantaneous = local mean + fluctuant}
∫=T
t dt uT
u0
1 {T is a time long enough to include many eddies}
2
1
0
2 ]ˆ1
[ ∫=′T
dt uT
u {RMS velocity characterizes turbulence}
wvu ′≅′≅′ {Turbulence is homogenous}1.0/ ≅′ uu {Turbulence intensity}
• Newton's Law in turbulent flows. It is tempting to write
dy
dut )(/ ν ν ρ τ +−=
−
−
Turbulence for ityVis Eddy
olecula for ityVis Kinematic
t cos
cos
ν
ν
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ν is a fluid property and constant.
νt is a flow property and depends on environment (eddy size)
•
Rewrite above equation as•
dy
ud vv t
)()( ρ
τ +−= dimensions22
][
][
][
][
T
L
L
M
(momentum flux)=(momentum diffusivity)(gradient of mom/vol)
Large ν implies rapid mixing. Diffusivity has dim. [L]2/[T]
νT >> ν : Turbulent flows are rapidly mixed due to eddies.
• Energy in turbulent flows: turbulent dissipates considerable energy.Large eddies take energy from mean floe, but are not efficient indispersing energy. Small eddies do dissipate energy efficiently. There
is a transfer of energy to the small eddies, which appears as heat due tofrictional effects.
Smallest eddy size, η, si given by ( dimensional analysis)
4
3
)(
−′=
v
d u
d
η {η is also a good estimate of laminar sub-layer thickness}
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• Rynolds Number arises in Newton's Law in dimensionless form
+
++ −=−=−==
dy
du
d yd
uud
d udy
du
uu Re
1
)/(
)/(222 ρ
µ
ρ
µ
ρ
τ τ
It may be interpreted as the ratio (interia forces / viscous forces).
• Large Re implies dominance of interia forces which promote turbulence.Small Re will dominance of friction (viscous) forces gives laminar flows.
Similarity (Consider different flows of same Reynolds Number) If we have
geometric similarity (e.g. two different pipe flows) then we will havekinematic similarity (same du
+/dy
+) and dynamic similarity (same τ
+).
Result
f = τw
+= f(Re)