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Lattice Boltzmann Simulation of Particle Motion in Binary Immiscible Fluids

Published online by Cambridge University Press:  14 September 2015

Yu Chen ,
Qinjun Kang ,
Qingdong Cai ,
Moran Wang  and
Dongxiao Zhang
Yu Chen
Affiliation:
Department of Engineering Mechanics and CNMM, School of Aerospace, Tsinghua University, Beijing 100084, China
Qinjun Kang
Affiliation:
Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
Qingdong Cai*
Affiliation:
LTCS, CAPT and Department of Mechanics and Aerospace Engineering, Peking University, Beijing 100871, China
Moran Wang*
Affiliation:
Department of Engineering Mechanics and CNMM, School of Aerospace, Tsinghua University, Beijing 100084, China
Dongxiao Zhang
Affiliation:
Department of Energy and Resources Engineering, Peking University, Beijing, China
*
*Corresponding author. Email addresses: [email protected] (Q. Cai), [email protected] (M.Wang), [email protected] (Y. Chen), [email protected] (Q. Kang), [email protected] (D. Zhang)
*Corresponding author. Email addresses: [email protected] (Q. Cai), [email protected] (M.Wang), [email protected] (Y. Chen), [email protected] (Q. Kang), [email protected] (D. Zhang)
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Abstract

We combine the Shan-Chen multicomponent lattice Boltzmann model and the link-based bounce-back particle suspension model to simulate particle motion in binary immiscible fluids. The impact of the slightly mixing nature of the Shan-Chen model and the fluid density variations near the solid surface caused by the fluid-solid interaction, on the particle motion in binary fluids is comprehensively studied. Our simulations show that existing models suffer significant fluid mass drift as the particle moves across nodes, and the obtained particle trajectories deviate away from the correct ones. A modified wetting model is then proposed to reduce the non-physical effects, and its effectiveness is validated by comparison with existing wetting models. Furthermore, the first-order refill method for the newly created lattice node combined with the new wetting model significantly improves mass conservation and accuracy.

Keywords

47.11.Qr47.55.-t47.56.+r47.57.Gc47.61.JdLattice Boltzmann modelparticle suspension modelbinary immiscible fluids
Type
Research Article
Information
Communications in Computational Physics , Volume 18 , Issue 3 , September 2015 , pp. 757 - 786
Copyright
Copyright © Global-Science Press 2015 

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