Probability Density Function of Inter- Particle Separation ...
Transcript of 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
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.
Why do small inertial particles tend to collide
each other to form larger ones in small-scale
turbulence?
A problem related to experimental observations
Power-Law Distribution & Two-Particle Kinematics
(1)(2) XX r
Two-Particle Separation:
r
Eddy
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.
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
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:
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:
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:
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.
Power-law region
Tail region
Power-law region
Tail region
Comparison with DNS
)S,S(KSc corr1 Power-Law Exponent:
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.
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
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.