Probability Density Function of Inter- Particle Separation ...

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Probability Density Function of Inter- Particle Separation in Homogeneous Isotropic Turbulence Tianshu Liu Department of Mechanical and Aerospace Engineering Western Michigan University, Kalamazoo, MI 49008

Transcript of Probability Density Function of Inter- Particle Separation ...

Page 1: Probability Density Function of Inter- Particle Separation ...

Probability Density Function of Inter-

Particle Separation in Homogeneous

Isotropic Turbulence

Tianshu Liu

Department of Mechanical and Aerospace Engineering

Western Michigan University, Kalamazoo, MI 49008

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Objectives

To derive the probability density function of the

separation between two inertial particles in

homogeneous isotropic turbulence.

To understand the physical mechanism of particle

collisions in turbulence.

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Why do small inertial particles tend to collide

each other to form larger ones in small-scale

turbulence?

A problem related to experimental observations

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Power-Law Distribution & Two-Particle Kinematics

(1)(2) XX r

Two-Particle Separation:

r

Eddy

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A random differential equation for inter-particle separation:

where

S(t) is a Lagrangian particle strain rate

)t(nr)t(Sdt/dr

Equation in Two-Particle Kinematics

)1(n)1(mmn2 XVrrr)t(S )3,2,1n,m(

n(t) is a background noise.

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r

)t,r(p)r(N

r2

1)t,r(p)r(M

r

)r(N

4

1

rt

t)p(r,

Application of Stratonovich’s perturbation method gives

a Fokker-Planck equation for PDF

)r,t()r(M corr

'd)r,'t(),r,t(K2)r(N

02corr

)t(nr)t(S)r,t(

d)t(S),t(SK

02

corr

where

)t(S),t(SK2 212121 ),(K

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The Steady-State Solution for PDF

dr

arara

nrSexp

arara

C)r(p

r

r 322

12/1

322

1 0

The Pearson System

d)t(S),t(SKa

0

1

d)t(S),t(nK)t(n),t(SKa

0

2

d)t(n),t(nKa

0

3

where

13.0)t(S f 4.1corr 18.0)t(Scorr Estimates:

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What is a Physically Feasible Solution for PDF ??

322

1 arara

nrS

dr

)r(glnd

The Pearson System:

Gaussian Distribution: 0aa 21 0n

Excluded Solutions:

Gamma Distribution: 0a1 3122 aa4a 0a/S 3

0a1 since it represents the integral timescale of S(t)

0S 0a3 since material lines are always stretched

in turbulence in a mean sense

3122 aa4a violates the Schwartz inequality in mathematics

Reasons:

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The Pearson-Type IV Distribution

as a Physically Feasible Solution:

230

3

230

32

2/)c1(

032 cc4

cr̂2tana

cc4

cc2exp

cr̂cr̂

C)r̂(p

1

)a/(ac 2130 11 a/Sc )a/(nc 12 )a/(ac 123

where

2231 aaa4 222

nSn,S

d)t(n),t(SKn,S

0

Condition for the Pearson-Type IV: The Schwartz Inequality

Scalar Product:

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The Power-Law PDF for

where

2/)c1(

02 1

cr̂C)r̂(p

/rr̂

1r̂

)S,S(KSc corr1

1c1 1

0r̂ )r̂(pmax[ ]

Behavior:

Consequence: Two particles tend to approach each other,

leading to collisions in small-scale turbulence.

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Power-law region

Tail region

Power-law region

Tail region

Comparison with DNS

)S,S(KSc corr1 Power-Law Exponent:

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Power-Law Exponent & Two-Particle Dynamics

)t(S)t(SS/dtd wp

The power-law exponent as a function of Stokes number (St):

1/St p

(1) The exponent is weakly dependent of Reynolds number

(2) The exponent is 2

122132111 St)q̂k̂q̂k̂k̂(St)k̂q̂k̂(c1

for

Main Theoretical Findings:

A generalized Langevin equation for the Lagrangian strain rate:

2

321

2321

1Stk̂Stk̂k̂

StStq̂Stq̂q̂1c

The linear term could not be neglected.

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Statistical Mechanical Modeling of N-Particle System

The Radial Distribution Function:

)Vn()r̂(p)1N(N)r̂(g 2

ppp

The Collision Rate per Unit Volume:

r0

2

p

2

0c w)d(gnd5.0N

~ 800 collisions in 1 mm cube

Turbulent impinging jet

as an example

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Conclusions

The power-law PDF of the inter-particle separation is

derived by considering the kinematics and dynamics

of two particles in homogeneous isotropic

turbulence.

(a) The power-law exponent is independent of Reynolds

number .

(b) The power-law exponent is a function of Stokes

number, where the linear term could not be

neglected even though the main term is quadratic.