2022
DOI: 10.1002/fld.5061
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An adaptive mesh refinement‐multiphase lattice Boltzmann flux solver for three‐dimensional simulation of droplet collision

Abstract: A three-dimensional adaptive mesh refinement-multiphase lattice Boltzmann flux solver (3D-AMR-MLBFS) is developed for effectively simulating complex multiphase flows with large density ratio and high Reynolds number. In the method, the multiphase lattice Boltzmann flux solver (MLBFS) is used to solve the flow field and the level set method is adopted to capture the interface. In addition, a free energy-based continuum surface tension force (FE-CSF) model, which has a clear physical basis and does not need to i… Show more

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Cited by 5 publications
(3 citation statements)
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References 52 publications
(96 reference statements)
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“…One approach was to consolidate adaptive mesh technique which can refine the local mesh sizes in interfacial regions. 32,33 In this way, the interfacial tracking algorithm, or the Cahn-Hilliard equation itself, does not need to be altered. The other way is to introduce terms that can compensate loss of mass during the computation, which requires modification of the interfacial tracking models.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…One approach was to consolidate adaptive mesh technique which can refine the local mesh sizes in interfacial regions. 32,33 In this way, the interfacial tracking algorithm, or the Cahn-Hilliard equation itself, does not need to be altered. The other way is to introduce terms that can compensate loss of mass during the computation, which requires modification of the interfacial tracking models.…”
Section: Introductionmentioning
confidence: 99%
“…To alleviate this limitation, two types of strategies have been proposed. One approach was to consolidate adaptive mesh technique which can refine the local mesh sizes in interfacial regions 32,33 . In this way, the interfacial tracking algorithm, or the Cahn‐Hilliard equation itself, does not need to be altered.…”
Section: Introductionmentioning
confidence: 99%
“…Existing methods to approximate the distribution function for non-equilibrium flows stem from two ideas: the Chapman-Enskog (CE) expansion [6] and the Hermite polynomial expansion [7]. Specifically, the CE expansion performs power series expansion on the equilibrium distribution function [8][9][10]. With more expansion terms, the constructed distribution function is expected to more precisely describe the deviation from equilibrium state.…”
Section: Introductionmentioning
confidence: 99%