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Applications of Lattice Boltzmann Method (LBM) in Thermal Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Thermal Engineering".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 5549

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
Interests: energy efficiency; computational fluid dynamics; exergy analysis; thermodynamic cycles; heat transfer fluids; refrigeration system; supersonic ejectors; vortex tubes
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Guest Editor
Department of Mechanical Engineering, Babol Noshirvani University of Technology, Babol, Shariati St., Iran
Interests: heat transfer; Computational Fluid Dynamics (CFD); microfluidics; thermodynamic analysis; refrigeration system; Phase Change Material (PCM); Thermal Energy Storage (TES); Lattice Boltzmann Method (LBM)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The lattice Boltzmann method (LBM) is an emerging computational framework for simulating a multitude of physical processes and systems. During the past three decades, as a nonconventional approach to computational fluid dynamics (CFD), the interest of the scientific community and R&D researchers in this method has grown rapidly. Recently, one of the hot topics is the application of LBM for modeling some key physical processes occurring in energy conversion systems. Compared to traditional CFD methods, which may have some difficulties to describe flows at finite Knudsen numbers and/or the flows in complex geometries, LBM appeared as an attractive way to relax these limitations. Even as LBM becomes an even more versatile numerical method for simulating a wide range of flow problems especially in thermal engineering, efforts are still required both to make the use of LBM more attractive to the scientific community, and to improve the efficiency of the thermal systems.

This Special Issue aims at publishing the current state-of-the-art in the field of LBM, its application to solve thermal engineering problems, and future research directions. Both submissions with an academic background as well as more application-oriented contributions are welcome. The addressed fields of research include but are not limited to:

  • Modeling aspects: advanced collision operators, grid-refinement strategies, improved boundary conditions, performance aspects, turbulence modeling, multiphase flows, porous media;
  • Modeling of conjugated heat transfer problems (conduction, convection, radiation);
  • Modeling of complex heat transfer fluid like nanofluids or phase-change materials;
  • Innovative applications of practical relevance in thermal engineering.

Prof. Dr. Sébastien Poncet
Prof. Dr. Abdulmajeed Mohamad
Dr. Seyed Soheil Mousavi Ajarostaghi
Guest Editors

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Keywords

  • Lattice Boltzmann Method (LBM)
  • Computational fluid dynamics
  • High performance computing
  • Multiscale approach from nano to meso scale
  • Thermal engineering
  • Renewable energy
  • Thermal management
  • Heat and mass transfer
  • Entropy and exergy analysis
  • MHD and EHD flows

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Published Papers (1 paper)

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Research

24 pages, 4785 KiB  
Article
A Novel Approach of Unit Conversion in the Lattice Boltzmann Method
by Saleh S. Baakeem, Saleh A. Bawazeer and Abdulmajeed. A. Mohamad
Appl. Sci. 2021, 11(14), 6386; https://doi.org/10.3390/app11146386 - 10 Jul 2021
Cited by 22 | Viewed by 3956
Abstract
The lattice Boltzmann method (LBM) is an alternative method to the conventional computational fluid dynamic (CFD) methods. It gained popularity due to its simplicity in coding and dealing with a complex fluid flow such as the multiphase flow. The method is based on [...] Read more.
The lattice Boltzmann method (LBM) is an alternative method to the conventional computational fluid dynamic (CFD) methods. It gained popularity due to its simplicity in coding and dealing with a complex fluid flow such as the multiphase flow. The method is based on the kinetic theory, which is mesoscopic scale. Hence, applying the LBM method for macroscopic problems requires a proper conversion from the physical scale (conventional units) to the mesoscopic scale (lattice units) and vice versa. The Buckingham π theorem and the principle of corresponding states are the popular methods used for data reductions and unit conversion processes in the LBM. Nevertheless, those methods have some issues, such as difficulty in converting specific quantities, such as thermo-physical properties. The current work uses a novel dimensional analysis method systematically for mapping properties’ units between scales. Moreover, the approach has the flexibility in selecting parameters to ensure the stability of the method of solution. Several benchmark examples are used to evaluate the feasibility and accuracy of the proposed approach. In conclusion, the proposed approach showed the flexibility of the mapping between meso-scale to macro-scales and vice versa on solid bases rather than ad-hoc methods. Full article
(This article belongs to the Special Issue Applications of Lattice Boltzmann Method (LBM) in Thermal Engineering)
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