2017
DOI: 10.1016/j.jcp.2017.01.025
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Diffuse interface modeling of three-phase contact line dynamics on curved boundaries: A lattice Boltzmann model for large density and viscosity ratios

Abstract: We introduce a simple and efficient lattice Boltzmann method for immiscible multiphase flows, capable of handling large density and viscosity contrasts. The model is based on a diffuse-interface phase-field approach. Within this context we propose a new algorithm for specifying the threephase contact angle on curved boundaries within the framework of structured Cartesian grids. The proposed method has superior computational accuracy compared with the common approach of approximating curved boundaries with stai… Show more

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Cited by 141 publications
(95 citation statements)
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References 78 publications
(128 reference statements)
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“…[47], there exists several treatments in terms of surface tension force, which could give rise to different performances. To reduce the spurious velocity, in this work we choose the widely used the potential form F s = µ∇φ [17,40,43],…”
Section: Governing Equationsmentioning
confidence: 99%
“…[47], there exists several treatments in terms of surface tension force, which could give rise to different performances. To reduce the spurious velocity, in this work we choose the widely used the potential form F s = µ∇φ [17,40,43],…”
Section: Governing Equationsmentioning
confidence: 99%
“…This simplest boundary condition is usually employed in applications (e.g., Refs. [7][8][9][10][11] and references therein).…”
Section: Introductionmentioning
confidence: 99%
“…Different from some previous LB models [39,10,27,36,37,25,35,38], in the present model, the force distribution function is given by…”
Section: Lb Model For Generalized N-s Equations With a Mass Source Termmentioning
confidence: 89%
“…The layered Poiseuille flow between two parallel plates is also a classical twophase problem which provides a good benchmark for validating the LB models [50,25,52,38,53,31].…”
Section: Layered Poiseuille Flowmentioning
confidence: 99%