2019
DOI: 10.1103/physreve.99.023312
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Maxwell-Stefan-theory-based lattice Boltzmann model for diffusion in multicomponent mixtures

Abstract: The phenomena of diffusion in multicomponent (more than two components) mixtures are very universal in both science and engineering, and from mathematical point of view, they are usually described by the Maxwell-Stefan (MS) based continuum equations. In this paper, we propose a multiple-relaxation-time lattice Boltzmann (LB) model for the mass diffusion in multicomponent mixtures, and also perform a Chapman-Enskog analysis to show that the MS based continuum equations can be correctly recovered from the develo… Show more

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Cited by 28 publications
(11 citation statements)
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“…, N) represents the number of discrete velocities v σ iα , and the total number is N (= 16) in this work, see Eq. (20). The superscript σ stands for the chemical species in a fluid mixture.…”
Section: Discrete Boltzmann Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…, N) represents the number of discrete velocities v σ iα , and the total number is N (= 16) in this work, see Eq. (20). The superscript σ stands for the chemical species in a fluid mixture.…”
Section: Discrete Boltzmann Modelmentioning
confidence: 99%
“…In 2016, Liang et al employed an MRT multiphase LBM to investigate the three-dimensional (3-D) Rayleigh-Taylor instability in a long square duct [14]. In 2019, Chai et al presented an MRT LBM, as a solver of the Stefan-Maxwell continuum equations, for the mass diffusion in multicomponent mixtures [20]. Although the LBM has achieved great success in replacing traditional continuum governing equations, few of the lattice Boltzmann models could provide various significant thermodynamic nonequilibrium information beyond the continuum equations.…”
mentioning
confidence: 99%
“…To the best of our knowledge, the only LBM realization of the Stefan–Maxwell diffusion was reported recently by Chai et al. (2019) and Vienne, Marié & Grasso (2019); although the two-dimensional LBM models of Chai et al. (2019) and Vienne et al.…”
Section: Introductionmentioning
confidence: 95%
“…(2019) and Vienne, Marié & Grasso (2019); although the two-dimensional LBM models of Chai et al. (2019) and Vienne et al. (2019) differ from one another, they both are restricted by the isothermal and isobaric assumptions and can thus not provide a basis for the development of a compressible mixture LBM.…”
Section: Introductionmentioning
confidence: 99%
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