Improved stability strategies for pseudo-potential models of lattice Boltzmann simulation of multiphase flow

Wu, Y, Gui, N, Yang, X, Tu, J and Jiang, S 2018, 'Improved stability strategies for pseudo-potential models of lattice Boltzmann simulation of multiphase flow', International Journal of Heat and Mass Transfer, vol. 125, pp. 66-81.


Document type: Journal Article
Collection: Journal Articles

Title Improved stability strategies for pseudo-potential models of lattice Boltzmann simulation of multiphase flow
Author(s) Wu, Y
Gui, N
Yang, X
Tu, J
Jiang, S
Year 2018
Journal name International Journal of Heat and Mass Transfer
Volume number 125
Start page 66
End page 81
Total pages 16
Publisher Elsevier
Abstract Since the pseudo-potential lattice-Boltzmann (LB) model was proposed, it has been suffering from low density ratio, small Reynolds number and flow instabilities, which hamper its application in many science and engineering problems. In this work, we analyze the reasons of flow instabilities in the pseudo-potential LB models, and propose some methods to improve the simulation stability. It is shown that the inter-particle interaction force term and the equations of state (EOS) can result in numerical instability in the particle distribution functions and density. Some straightforward and universal techniques are proposed here in order to achieve larger density ratio, higher Reynolds number and lower temperature as well as suppressing spurious velocity in multiphase flow in the pseudo-potential LB models without additional influences on the equilibrium properties in most cases. These methods contribute to extending the pseudo-potential LB models to realistic multiphase flow further. Finally, we demonstrate the method application for droplet splashing with Re = 15000, We = 120 and density ratio = 4792 at 0.45Tc successfully. © 2018 Elsevier Ltd
Subject Numerical Modelling and Mechanical Characterisation
Keyword(s) High Reynolds number
Large density ratio
Lattice Boltzmann method
Multiphase flow
Numerical stability
Pseudo-potential model
DOI - identifier 10.1016/j.ijheatmasstransfer.2018.04.021
Copyright notice © 2018 Elsevier Ltd. All rights reserved.
ISSN 0017-9310
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