A lattice Boltzmann formulation of the one-fluid model for multiphase flow
Reis, Timothy ORCID: https://orcid.org/0000-0003-2671-416X (2022) A lattice Boltzmann formulation of the one-fluid model for multiphase flow. Journal of Computational Physics, 453:110962. ISSN 0021-9991 (Print), 1090-2716 (Online) (doi:10.1016/j.jcp.2022.110962)
Preview |
PDF (Author's accepted manuscript (AAM))
34736-REIS-A_lattice_Boltzmann_formulation_of_the_one-fluid_model_for_multiphase_flow.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (38MB) | Preview |
Preview |
PDF (Preprint)
34736_REIS_A_lattice_Boltzmann_formulation_multiphase_flow.pdf - Submitted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (38MB) | Preview |
Abstract
A multiphase lattice Boltzmann model is constructed to numerically solve the one-fluid flow equations for immiscible fluids. The method features one solver for the macroscopic pressure and momentum and another for a scalar field that captures and sharpens the interface. The surface tension is set \emph{a priori} and independently of other parameters. The interface capillary tensor is embedded within the moments of the lattice Boltzmann equation so that its divergence is captured locally. The algorithm is simple and can compute flows with large density and viscosity ratios while maintaining distributed but narrow interfaces. The model is validated against analytical solutions and benchmark simulations.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | lattice Boltzmann, multiphase flow, surface tension, fluid mechanics, CFD |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QC Physics |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) |
Related URLs: | |
Last Modified: | 11 Jan 2023 01:38 |
URI: | http://gala.gre.ac.uk/id/eprint/34736 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year