Guest Editors
Ali Hassan, Research Assistant, Department of Mathematics, University of Gujrat, Gujrat, Pakistan
Ali Hassan is currently working as a research assistant with Dr. Hussain at the Department of Mathematics, University of Gujrat, Gujrat, 50700, Pakistan. Dr. Hassan has authored or co-authored 30 scientific articles in numerous international scientific journals indexed in Web of Science and Scopus. Dr. Hassan has been an active peer reviewer for international scientific journals and International. His research interests include fluid mechanics, computational fluid dynamics (CFD), boundary layer flows (Yamda-Ota and Xue), the Himlton Crosser model, variable thermophysical properties, tri-hybrid nanocomposites, and heat and mass transfer.
Azad Hussain, Associate Professor, Department of Mathematics, University of Gujrat, Gujrat, Pakistan
Azad Hussain has been serving as an associate professor of mathematics at the Department of Mathematics, University of Gujrat, Gujrat, 50700, Pakistan, since April 23, 2023. He was Head of the Department of Mathematics at the University of Science and Technology Bannu. Dr. Hussain has published 70 articles indexed in the Web of Science and has presented his work at numerous national and international conferences. Dr. Hussain has supervised 25 M.Phil. and 5 Ph.D. students. Currently, there are 7 M.Phil. and 5 Ph.D. students working under his supervision. Dr. Hussain also serves as a peer reviewer for more than 50 impact factor international journals listed in the Web of Sciences. Dr. Hussain does research in fluid mechanics, computational fluid dynamics, dynamics of variable thermophysical properties on flow models, boundary layer flows, radiative heat and mass transmission, Newtonian and non-Newtonian models, nano, hybrid, and tri-hybrid nanofluid dynamics. Dr. Hussain has been serving as a reviewer of theses for M.Phil. and Ph.D. students.
Summary
This special issue is dedicated to the computational and numerical advances made in heat transfer mechanisms and techniques in recent years. Heat transfer (convection, free convection, and forced convection) in different models, namely square cavities, rectangular cavities, pipes, conduits, and other such configurations, is of great significance in industrial and engineering fields. It is becoming considerably more effective in the heat transfer field to adopt new methodologies and tools, such as commercial software such as COMSOL Multiphysics, OpemFoam, and Ansys Fluent, to investigate and discuss heat transfer phenomena.
Advances in numerical methods to elucidate flow and heat analysis are also the main focus of this special issue. Numerical methods such as the shooting method, finite difference schemes, Keller box method, Homotopy Analysis Method, Optimal Homotopy Analysis Method, and Bvp-4c technique have been used to carry out analysis of different flow problems. These methods are of key significance to investigate convection, heat transfer, radiative heat, and mass transfer, as well as to analyse the Newtonian and non-Newtonian fluid models.
In recent years, mathematicians have made significant advances with computational tools to examine different fluid flow problems. Such a significant approach is to employ neural networks, or artificial neural networks. ANN has been extensively employed by mathematicians to simulate heat transfer in distinct flow regimes. This special issue also focuses on the advances made in this area by examining heat transfer in Newtonian and non-Newtonian fluid models.
Keywords
Heat transfer; computational fluid dynamics; numerical methods; artificial neural networks; newtonian and non-newtonian fluid models; heat transfer in cavities; radiative heat transfer; heat transfer in pipes; nanofluids; hybrid nanofluids and tri-hybrid nanofluids
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