Computational Fluid Dynamics (CFD) Study for Heat Transfer
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: Thermal Management".
Deadline for manuscript submissions: 25 July 2025 | Viewed by 2128
Special Issue Editors
Interests: computational fluid dynamics; numerical heat transfer; hypersonics; biological fluid mechanics
Interests: computational fluid dynamics; chemical kinetics of low-carbon fuels; aerosol filtration; battery thermal management; hemodynamics
Special Issues, Collections and Topics in MDPI journals
Interests: hypersonic flow; hypersonic aerodynamics
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Special Issue Information
Dear Colleagues,
Heat transfer coupling with fluid flow plays a crucial role in many theoretical and practical applications, such as differential equations, combustion, aerospace, automobiles, refrigeration, propulsion, heat exchangers, and nuclear engineering. Over the decades, computational fluid dynamics (CFD) has been successfully used to solve various problems of conjugate heat transfer and fluid flow on computers, and it has gradually developed into a time-saving and low-cost technique with high fidelity. Particularly, CFD combined with machine learning or artificial intelligence (AI) shows a promising and strong potential of simulating the processes of heat and mass transfer.
This Special Issue aims to feature original research and review articles on the most recent advances in methods, models, and applications of CFD for studying any heat transfer phenomena, and experimental results that support relevant CFD simulations are also acceptable.
Dr. Jingying Wang
Dr. Kuang C. Lin
Dr. Jiaao Hao
Guest Editors
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Keywords
- heat transfer
- fluid flow
- computational fluid dynamics (CFD)
- numerical heat transfer
- convection
- power engineering
- heat exchanger
- boilers
- aerodynamic heating
- combustion
- cooling
- multi-physics
- multi-scales
- machine learning
- artificial intelligence (AI)
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