Volume 18, Issue 3
Lattice Boltzmann Simulation of Particle Motion in Binary Immiscible Fluids

Yu Chen, Qinjun Kang, Qingdong Cai, Moran Wang & Dongxiao Zhang

Commun. Comput. Phys., 18 (2015), pp. 757-786.

Published online: 2018-04

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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.

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@Article{CiCP-18-757, author = {}, title = {Lattice Boltzmann Simulation of Particle Motion in Binary Immiscible Fluids}, journal = {Communications in Computational Physics}, year = {2018}, volume = {18}, number = {3}, pages = {757--786}, 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.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.101114.150415a}, url = {http://global-sci.org/intro/article_detail/cicp/11047.html} }
TY - JOUR T1 - Lattice Boltzmann Simulation of Particle Motion in Binary Immiscible Fluids JO - Communications in Computational Physics VL - 3 SP - 757 EP - 786 PY - 2018 DA - 2018/04 SN - 18 DO - http://doi.org/10.4208/cicp.101114.150415a UR - https://global-sci.org/intro/article_detail/cicp/11047.html KW - AB -

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.

Yu Chen, Qinjun Kang, Qingdong Cai, Moran Wang & Dongxiao Zhang. (2020). Lattice Boltzmann Simulation of Particle Motion in Binary Immiscible Fluids. Communications in Computational Physics. 18 (3). 757-786. doi:10.4208/cicp.101114.150415a
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