Guest Editors
Ali Hassan, Researcher, Interdisciplinary Multi-phase Flow Laboratory, Department of Mechanics and Aerospace Engineering, College of Engineering, Southern University of Science and Technology, China
Research Assistant, Department of Mathematics, University of Gujrat, Gujrat, 50700, Pakistan
Ali Hassan is a researcher at the Interdisciplinary Multi-phase Flow Laboratory, Department of Mechanics and Aerospace Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China. He received his master’s degree in applied mathematics from the University of Gujrat, Gujrat, 50700, Pakistan. He worked as a research assistant at the Department of Mathematics, University of Gujrat, Gujrat, 50700, Pakistan, from Dec 2021 to the present. In Sep 2023, he joined “Interdisciplinary Multi-phase Flow Laboratory,” SUStech, Shenzhen, China. He has authored or co-authored 35 scientific articles in numerous international scientific journals indexed in Web of Science and Scopus. He has previously served as guest editor for the special issue, “Computational and Numerical Advance in Heat Transfer: Models and Methods I,” in FHMT with Prof. Hussain. He has been an active peer reviewer for international scientific journals. His current research interests include Computational Fluid dynamics, Fluid mechanics, Numerical Methods, Lattice Boltzmann Method, Thermal Engineering, and Nano and Hybrid Nanofluid Dynamics.
Azad Hussain, Associate Professor, Department of Mathematics, University of 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. He received his Ph.D. in Mathematics Specialization in Fluid Mechanics from Quaid-e-Azam University, Islamabad, Pakistan, in 2013. Dr. Hussain has published 90 articles indexed in the Web of Science and has presented his work at numerous national and international conferences. Dr. Hussain has supervised 27 M.Phil. and 6 Ph.D. students. Currently, there are 5 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, and nano, hybrid, and tri-hybrid nanofluid dynamics. Dr. Hussain has been serving as a reviewer of theses for M.Phil. and Ph.D. students. Dr. Hussain has previously edited a special issue, “Computational and Numerical Advance in Heat Transfer: Models and Methods I,” in FHMT with Dr Hassan.
Basma Souayeh, Associate Professor, Department of Physics, College of Science, King Faisal University, Saudi Arabia
Dr. Basma Souayeh is currently working as an Associate Professor at King Faisal University, Saudi Arabia (Department of Physics, College of Science, King Faisal University, PO Box 400, Al-Ahsa, 31982, Saudi Arabia) and a Researcher in the Laboratory of Fluid Mechanics and Heat Transfer (URPF Lab) at University of Tunis El Manar, Tunisia since 2012 (Department of Physics, Laboratory of Fluid Mechanics, Faculty of Sciences of Tunis, University of Tunis El Manar, 2092, Tunis, Tunisia). She has more than 12 years of experience in the education and research fields, with more than 100 peer-reviewed international papers published in ISI journals in the Physics specialty. Dr. Basma is listed in the World’s top 2% scientists by a recent survey conducted by Elsevier and Stanford University, USA. The TOP 2% global list of scientists has been prepared based on the citations, h-index, co-authorship adjusted h-index, etc., in various disciplines on October 04, 2023. She is serving as a reviewer in several international ISI scientific journals and a speaker & chair session at several national and international conferences. Her research skills focused on the following areas: Computational Physics, Mechanical Engineering, Thermal Engineering, Energy, Computational Fluid Mechanics, Numerical Simulation, Numerical Modelling, CFD Simulation, Finite Volume Method, Finite Difference Method, Engineering Thermodynamics, Energy Engineering, Heat and Mass Transfer, Nanofluids, CFD coding, Fluid flow and Mechanics.
Summary
With overwhelming responses from research groups from around the world for our first special issue “Computational and Numerical Advances in Heat Transfer: Models and Methods I”, the second edition of the special issue is here to facilitate the researchers in the field of computational and numerical heat transfer in fluid dynamics to present/submit novel works in the second issue title as “Computational and Numerical Advances in Heat Transfer: Models and Methods II”.
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 and in-house built codes. The commercial software includes COMSOL Multiphysics, OpemFoam, and Ansys Fluent, Abaqus to simulate and investigate the heat transfer phenomenon in distinct configurations.
One of the other key focuses of the second edition is advances in numerical methods to elucidate flow and heat analysis of different flow regimes. Numerical methods such as the Shooting method, Finite Difference schemes, Keller Box method, Homotopy Analysis Method, Optimal Homotopy Analysis Method, Lattice Boltzmann method, and Finite Element Analysis have been extensively explored to carry out analysis of different flow problems. These methods are of key significance in investigating convection, heat transfer, radiative heat, and mass transfer, as well as in analyzing 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.
Topics of interest include, but are not limited to:
Heat transfer in cavities, conduits, channels and rectangular cavities filled with nano or hybrid nanofluids.
Simulation of flow and heat transfer in distinct configurations using commercial software and in-house built codes.
Advance in numerical methods and their application to evaluate the heat transfer (free, forced, or mixed convection) in Newtonian or non-Newtonian fluids.
Role of constant and variable thermophysical fluid properties in heat transfer processes in nanofluid and hybrid nanofluids.
Advance in artificial neural networks (supervised and unsupervised) to access the heat transfer in different flow regimes.
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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