Multiple-relaxation-time discrete Boltzmann modeling of multicomponent mixture with nonequilibrium effects

Chuandong Lin, Kai H. Luo, Aiguo Xu, Yanbiao Gan, and Huilin Lai
Phys. Rev. E 103, 013305 – Published 11 January 2021

Abstract

A multiple-relaxation-time discrete Boltzmann model (DBM) is proposed for multicomponent mixtures, where compressible, hydrodynamic, and thermodynamic nonequilibrium effects are taken into account. It allows the specific heat ratio and the Prandtl number to be adjustable, and is suitable for both low and high speed fluid flows. From the physical side, besides being consistent with the multicomponent Navier-Stokes equations, Fick's law, and Stefan-Maxwell diffusion equation in the hydrodynamic limit, the DBM provides more kinetic information about the nonequilibrium effects. The physical capability of DBM to describe the nonequilibrium flows, beyond the Navier-Stokes representation, enables the study of the entropy production mechanism in complex flows, especially in multicomponent mixtures. Moreover, the current kinetic model is employed to investigate nonequilibrium behaviors of the compressible Kelvin-Helmholtz instability (KHI). The entropy of mixing, the mixing area, the mixing width, the kinetic and internal energies, and the maximum and minimum temperatures are investigated during the dynamic KHI process. It is found that the mixing degree and fluid flow are similar in the KHI process for cases with various thermal conductivity and initial temperature configurations, while the maximum and minimum temperatures show different trends in cases with or without initial temperature gradients. Physically, both heat conduction and temperature exert slight influences on the formation and evolution of the KHI morphological structure.

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  • Received 24 January 2020
  • Revised 9 June 2020
  • Accepted 16 December 2020

DOI:https://doi.org/10.1103/PhysRevE.103.013305

©2021 American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Authors & Affiliations

Chuandong Lin1, Kai H. Luo2,*, Aiguo Xu3,4,5, Yanbiao Gan6, and Huilin Lai7,†

  • 1Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China
  • 2Department of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE, United Kingdom
  • 3Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, P. O. Box 8009-26, Beijing 100088, China
  • 4State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China
  • 5Center for Applied Physics and Technology, MOE Key Center for High Energy Density Physics Simulations, College of Engineering, Peking University, Beijing 100871, China
  • 6North China Institute of Aerospace Engineering, Langfang 065000, China
  • 7College of Mathematics and Informatics & FJKLMAA, Fujian Normal University, Fuzhou 350007, China

  • *K.Luo@ucl.ac.uk
  • hllai@fjnu.edu.cn

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Vol. 103, Iss. 1 — January 2021

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