Fugacity-based lattice Boltzmann method for multicomponent multiphase systems

Muzammil Soomro, Luis F. Ayala, Cheng Peng, and Orlando M. Ayala
Phys. Rev. E 107, 015304 – Published 17 January 2023

Abstract

The free-energy model can extend the lattice Boltzmann method to multiphase systems. However, there is a lack of models capable of simulating multicomponent multiphase fluids with partial miscibility. In addition, existing models cannot be generalized to honor thermodynamic information provided by any multicomponent equation of state of choice. In this paper, we introduce a free-energy lattice Boltzmann model where the forcing term is determined by the fugacity of the species, the thermodynamic property that connects species partial pressure to chemical potential calculations. By doing so, we are able to carry out multicomponent multiphase simulations of partially miscible fluids and generalize the methodology for use with any multicomponent equation of state of interest. We test this fugacity-based lattice Boltzmann method for the cases of vapor-liquid equilibrium for two- and three-component mixtures in various temperature and pressure conditions. We demonstrate that the model is able to reliably reproduce phase densities and compositions as predicted by multicomponent thermodynamics and can reproduce different characteristic pressure-composition and temperature-composition envelopes with a high degree of accuracy. We also demonstrate that the model can offer accurate predictions under dynamic conditions.

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  • Received 8 September 2022
  • Accepted 13 December 2022

DOI:https://doi.org/10.1103/PhysRevE.107.015304

©2023 American Physical Society

Physics Subject Headings (PhySH)

Fluid DynamicsStatistical Physics & Thermodynamics

Authors & Affiliations

Muzammil Soomro* and Luis F. Ayala

  • Department of Energy and Mineral Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA

Cheng Peng

  • Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China

Orlando M. Ayala

  • Department of Engineering Technology, Old Dominion University, Norfolk, Virginia 23529, USA

  • *msoomro@psu.edu

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Issue

Vol. 107, Iss. 1 — January 2023

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