2019
DOI: 10.1108/hff-11-2018-0682
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Simulation of phase separation in a Van der Waals fluid under gravitational force with Lattice Boltzmann method

Abstract: Purpose This paper aims to assess the accuracy of Lattice Boltzmann method (LBM) for numerical simulation of the stratification of a Van der Waals (VdW) fluid subjected to a gravity field and non-uniform temperature distribution. A sensitivity analysis of the influence of the pseudopotential parameters and the grid resolution is presented. The effect of gravity force on interface densities, density profiles and liquid volume fraction is studied. Design/methodology/approach The D2Q9 multiple-relaxation-time p… Show more

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Cited by 4 publications
(2 citation statements)
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“…The basic idea of LBM lattice algorithm is not to solve the motion state of each molecule, but to solve the probability of the molecular cluster in a certain state [16,17], and obtain the macro parameters of the system through statistical method. The basic form of evolution equation of lattice LBM algorithm for velocity distribution is as follows:…”
Section: Radiation Model Of Cylindrical Heat Sourcementioning
confidence: 99%
“…The basic idea of LBM lattice algorithm is not to solve the motion state of each molecule, but to solve the probability of the molecular cluster in a certain state [16,17], and obtain the macro parameters of the system through statistical method. The basic form of evolution equation of lattice LBM algorithm for velocity distribution is as follows:…”
Section: Radiation Model Of Cylindrical Heat Sourcementioning
confidence: 99%
“…In contrast to traditional CFD methods that solve the continuum-based Navier-Stokes equations, LBM solves the Boltzmann equation and considers the collision and streaming processes of mesoscopic particle clusters to describe macroscopic hydrodynamic behaviorr. Due to microscopic perspective and mesoscopic characteristics, LBM is beneficial in simulation of complex flows such as multiphase multicomponent flow (Xing et al, 2021;Fogliatto et al, 2019), flow in porous media (Jourabian et al, 2012;, and thermal flow (Lu et al, 2020).…”
Section: Introductionmentioning
confidence: 99%