Lattice Boltzmann Simulation of Particle Motion in Binary Immiscible Fluids. (14th September 2015)

• Record Type: Journal Article
• Authors: Chen, Yu; Kang, Qinjun; Cai, Qingdong; Wang, Moran; Zhang, Dongxiao
• Is Part Of: Communications in computational physics. Volume 18:Number 3(2015:Sep.)
• Page Start: 757
• Page End: 786
• Publication Date: 2015-09-14
• Subjects: 47.11.Qr, -- 47.55.-t, -- 47.56.+r, -- 47.57.Gc, -- 47.61.Jd; Lattice Boltzmann model, -- particle suspension model, -- binary immiscible fluids; Mathematical physics -- Data processing -- Periodicals; Physics -- Data processing -- Periodicals; 530.150285
• DOI: 10.4208/cicp.101114.150415a
• Languages: English
• ISSNs: 1815-2406

Abstract

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.