Application of the Lattice Boltzmann Method for Particulate Flows
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Statistical Physics".
Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 1697
Special Issue Editors
Interests: hybrid LES/RANS; turbulence; CFD; wall-modelled LES; multiphase flows; Lattice Boltzmann method
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Particulate flows are present in a wide range of natural processes and industrial applications. In order to better understand the underlying physics of these phenomena, various aspects such as fluid flow, particle translation and rotation, and fluid–particle interactions should be considered. Among several approaches, the lattice Boltzmann method (LBM) has emerged as a reliable mesoscopic technique to handle these aspects. Its advantages over classical macroscopic methods (based on the Navier–Stokes equations) have sparked enormous attention in the simulation of multiphase flows in recent years.
The application of LBM to particle-laden flows, however, can be traced back to three decades ago. This Special Issue will be an ideal opportunity to review and gather the latest progress in this fascinating interdisciplinary topic. Numerical studies on the following and other subjects related to LBM simulation of particulate flows are therefore warmly encouraged:
- Isothermal and non-isothermal simulations;
- Laminar and turbulent flows;
- Isotropic and anisotropic particles;
- Industrial simulations;
- Entropic LB methods;
- DNS, LES, and RAS;
- Comparison with classical CFD;
- Improvement of fluid–particle interaction modeling approaches;
- Numerical stability, accuracy, and speed;
- Immersed boundary and bounce-back methods;
- Curved boundary treatment;
- Optimization and machine learning techniques.
Dr. Amir E. Fard
Prof. Dr. Vicente Garzó
Guest Editors
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Keywords
- lattice Boltzmann method
- particulate flows
- particle–fluid interactions
- anisotropic particles
- numerical simulations
