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Numerical Heat Transfer, Part B: Fundamentals
An International Journal of Computation and Methodology
Volume 72, 2017 - Issue 3
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Original Articles

Finite difference lattice Boltzmann model based on the two-fluid theory for multicomponent fluids

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Pages 250-267 | Received 25 May 2017, Accepted 23 Aug 2017, Published online: 25 Sep 2017
 

ABSTRACT

Previous two-fluid lattice Boltzmann (LB) models for multicomponent fluids are limited to mixtures with a low molecular weight ratio (i.e., below 9). In this paper, a finite difference-based two-fluid LB model is developed for mixtures with larger molecular weight ratios, which can be widely found in real applications. The basic idea is to use the finite difference scheme to discretize the discrete velocity LB equations derived from the two-fluid theory. The corresponding macroscopic hydrodynamic and diffusion equations are obtained by multiscale expansions. The adjusting strategy of model parameters significantly influencing the accuracy and stability of the LB model is discussed in detail. It is demonstrated that the present LB method is able to model multicomponent fluids with a high molecular weight ratio (e.g., 32). Further, the present model is applied to the simulation of multicomponent fluids in porous media.

Nomenclature

cs=

speed of sound

Dij=

diffusion coefficient between species i and species j

=

discrete velocity set for species i

f=

density distribution function

=

equilibrium distribution function for species i

Fα=

forcing term

J=

molar flux

Jσσ=

self-collision term

Jσs=

cross-collision term

M=

molecular weight

p=

pressure

R=

gas constant

t=

time

T=

temperature

u=

velocity

α=

discrete velocity direction

ν=

viscosity

ρ=

density

τ=

relaxation time for self-collision term

τD=

relaxation time for cross-collision term

ωα=

weighting function

Nomenclature

cs=

speed of sound

Dij=

diffusion coefficient between species i and species j

=

discrete velocity set for species i

f=

density distribution function

=

equilibrium distribution function for species i

Fα=

forcing term

J=

molar flux

Jσσ=

self-collision term

Jσs=

cross-collision term

M=

molecular weight

p=

pressure

R=

gas constant

t=

time

T=

temperature

u=

velocity

α=

discrete velocity direction

ν=

viscosity

ρ=

density

τ=

relaxation time for self-collision term

τD=

relaxation time for cross-collision term

ωα=

weighting function

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (50976092); the National Science Foundation for Postdoctoral Scientists of China (2015M582651); the Scientific and Technological Project for Industry in Shaanxi Province, China (2015GY096); and the Fundamental Research Funds for Central Universities of China (xjj2016050).

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