Chemical-potential multiphase lattice Boltzmann method with superlarge density ratios

Binghai Wen, Liang Zhao, Wen Qiu, Yong Ye, and Xiaowen Shan
Phys. Rev. E 102, 013303 – Published 6 July 2020

Abstract

The liquid-gas density ratio is a key property of multiphase flow methods to model real fluid systems. Here, a chemical-potential multiphase lattice Boltzmann method is constructed to realize extremely large density ratios. The simulations show that the method reaches very low temperatures, at which the liquid-gas density ratio is more than 1014, while the thermodynamic consistency is still preserved. Decoupling the mesh space from the momentum space through a proportional coefficient, a smaller mesh step provides denser lattice nodes to exactly describe the transition region and the resulting dimensional transformation has no loss of accuracy. A compact finite-difference method is applied to calculate the discrete derivatives in the mesh space with high-order accuracy. These enhance the computational accuracy of the nonideal force and suppress the spurious currents to a very low level, even if the density ratio is up to tens of thousands. The simulation of drop splashing verifies that the present model is Galilean invariant for the dynamic flow field. An upper limit of the chemical potential is used to reduce the influence of nonphysical factors and improve the stability.

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  • Received 3 October 2019
  • Revised 4 March 2020
  • Accepted 17 June 2020

DOI:https://doi.org/10.1103/PhysRevE.102.013303

©2020 American Physical Society

Physics Subject Headings (PhySH)

Fluid DynamicsStatistical Physics & Thermodynamics

Authors & Affiliations

Binghai Wen1,*, Liang Zhao2, Wen Qiu1, Yong Ye1, and Xiaowen Shan3,†

  • 1Guangxi Key Lab of Multi-Source Information Mining & Security, Guangxi Normal University, Guilin 541004, China
  • 2College of Physical Science and Technology, Yangzhou University, Jiangsu 225009, China
  • 3Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China

  • *oceanwen@gxnu.edu.cn
  • shanxw@sustech.edu.cn

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Vol. 102, Iss. 1 — July 2020

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