Journal
COMPUTERS & MATHEMATICS WITH APPLICATIONS
Volume 102, Issue -, Pages 206-219Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.camwa.2021.10.018
Keywords
Unbounded domain; Immersed boundary method; Lattice Boltzmann method; Particle settling; Ellipsoidal mesh
Categories
Funding
- Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES) [001]
Ask authors/readers for more resources
The paper introduces a domain transferring scheme combined with a high-quality algorithm for simulating particle motion in a large domain, disclosing details of mesh generation for ellipsoidal particles and internal mass compensation strategy. The numerical model accurately describes particle rotation and terminal velocity, showing good agreement with analytical results.
Particle settling at moderate to high Reynolds number takes a considerable distance to reach a periodical or statistically steady regime. Hence, hardware memory limitations in fully resolved simulations constrain the maximum domain size for this flow class. Due to the locality in most of its algorithms, the Lattice Boltzmann Method (LBM) is increasingly popular for CFD studies. In the present paper, a domain transferring scheme is implemented in LBM, enabling simulations of particle motion in a virtually infinite domain, and it is combined with a high-quality Lagrangian mesh algorithm to be solved with the Immersed Boundary Method (IBM). A thorough mesh generation procedure for ellipsoidal particles is disclosed, as well as an extension of the internal mass compensation strategy of Suzuki and Inamuro (2011). Comparison with analytical results shows that the numerical model appropriately describes the particle rotation and can predict a terminal velocity close to Stokes solution. The numerical results of a buoyant sphere moving diagonally presented remarkable concordance with experimental data. Also, an excellent agreement with a numerical study of oblate spheroids settling in a vast domain was found. The domain transferring scheme reduced the memory demand in one order of magnitude.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available