Computational Fluid Dynamics of Heat Transfer and Applications

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 2235

Special Issue Editor

School of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China
Interests: lattice Boltzmann method; multiphase flow and heat transfer

Special Issue Information

Dear Colleagues,

Understanding and predicting heat transfer has long been a subject of research due to its comprehensive relevance in engineering and scientific applications, such as geothermal energy extraction, heat exchangers and electronic cooling instruments, chemical catalytic reactors, pollution transport, and mineral processing. Over the past several decades, considerable investigations and applications have been devoted to this area by many researchers using various computational fluid dynamics (CFD) methods (e.g., finite difference method, finite element method, finite volume method, and lattice Boltzmann method).

This Special Issue will focus on numerical simulation and applied research in heat transfer using CFD methods. Papers are invited in all different areas of numerical heat transfer, as numerical heat transfer is a multidisciplinary topic involving research areas such as electromagnetism, mechanical design, thermal management, and material issues, as well as economic and environmental aspects. We look forward to receiving your contributions.

Dr. Lei Wang
Guest Editor

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Keywords

  • melting heat transfer
  • boiling heat transfer
  • natural convection
  • double-diffusive convection
  • conjugate heat transfer
  • heat transfer in porous media
  • electro-thermo-convective flow
  • machine learning-based methods for heat transfer

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Published Papers (2 papers)

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Research

16 pages, 6156 KiB  
Article
Electrochemical–Thermal Fluid Coupled Analysis and Statistical Analysis of Cooling System for Large Pouch Cells
by Hamin Lee, Seokjun Park and Chang-Wan Kim
Mathematics 2024, 12(20), 3261; https://doi.org/10.3390/math12203261 - 17 Oct 2024
Cited by 1 | Viewed by 991
Abstract
In large-format pouch cells for electric vehicles, the issues of elevated and non-uniform temperatures resulting from heat generation are intensified, necessitating the use of liquid cooling systems. The design factors of the liquid cooling system influence the maximum temperature and temperature differences in [...] Read more.
In large-format pouch cells for electric vehicles, the issues of elevated and non-uniform temperatures resulting from heat generation are intensified, necessitating the use of liquid cooling systems. The design factors of the liquid cooling system influence the maximum temperature and temperature differences in the module as well as the pumping power of the cooling system. Although it is known that these design factors interact, research on these interactions and their effects is currently lacking. In this study, the individual as well as interaction effects of design factors on the performance of the liquid cooling system for a large-format pouch cell module were investigated using design of experiment and analyzed through statistical methods. Electrochemical–thermal fluid coupled analysis was used to calculate the performance according to the design factors of the liquid cooling system. The wall and channel widths are factors that directly determine the coolant flow velocity and cooling plate heat capacity, and they exhibited major effects on all three responses. Moreover, the influence of each design factor tended to change in response to variations in the other design factors. Thus, the effects of each factor individually and of interactions between factors were quantitatively compared and evaluated for significance. The width of the walls was found to contribute the most to the maximum temperature (36.00%) and pumping power (57.56%), while the width of the channels contributed the most to the temperature difference (38.24%), indicating that they are the main influencing factors. Full article
(This article belongs to the Special Issue Computational Fluid Dynamics of Heat Transfer and Applications)
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11 pages, 1648 KiB  
Article
A Block Triple-Relaxation-Time Lattice Boltzmann Method for Solid–Liquid Phase Change Problem
by Xuguang Yang, Zhenyu Chen and Yong Zhao
Mathematics 2024, 12(12), 1815; https://doi.org/10.3390/math12121815 - 11 Jun 2024
Viewed by 870
Abstract
This study introduces a block triple-relaxation-time (B-TriRT) lattice Boltzmann model designed specifically for simulating melting phenomena within a rectangular cavity subject to intense heating from below, characterized by high Rayleigh (Ra) numbers (Ra=108). Through [...] Read more.
This study introduces a block triple-relaxation-time (B-TriRT) lattice Boltzmann model designed specifically for simulating melting phenomena within a rectangular cavity subject to intense heating from below, characterized by high Rayleigh (Ra) numbers (Ra=108). Through benchmark testing, it is demonstrated that the proposed B-TriRT approach markedly mitigates numerical diffusion along the phase interface. Furthermore, an examination of the heated region’s placement is conducted, revealing its significant impact on the rate of melting. Notably, findings suggest that optimal melting occurs most rapidly when the heated region is positioned centrally within the cavity. Full article
(This article belongs to the Special Issue Computational Fluid Dynamics of Heat Transfer and Applications)
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