This book serves as a comprehensive guide to the fundamental and advanced principles of flow dynamics and heat transfer, emphasizing computational techniques, numerical simulations, and real-world applications. Designed for researchers, engineers, and students, this book bridges theoretical foundations with modern computational and experimental methodologies to address contemporary challenges in fluid flow and heat transfer.

Exploring a wide range of topics, from compressible and non-Newtonian fluid flow to microscale and nanoscale heat transfer mechanisms, the book provides insights into emerging technologies and optimization strategies. Readers will gain valuable knowledge on industrial applications, including turbine cooling, nanofluid-based heat exchangers, and AI-driven predictive modeling for thermal systems.

An essential reference for professionals and academics, this book equips readers with the knowledge and computational tools needed to solve complex fluid flow and heat transfer challenges across diverse engineering disciplines.

About the Author

Dr. Mukesh Kumar Awasthi has done his Ph.D. on the topic “Viscous Correction for the Potential Flow Analysis of Capillary and Kelvin-Helmholtz instability”. He is working as an Assistant Professor in the Department of Mathematics at Babasaheb Bhimrao Ambedkar University, Lucknow. Dr. Awasthi is specialized in the mathematical modeling of flow problems. He has taught courses of Fluid Mechanics, Discrete Mathematics, Partial differential equations, Abstract Algebra, Mathematical Methods, and Measure theory to postgraduate students. He has acquired excellent knowledge in the mathematical modeling of flow problems and he can solve these problems analytically as well as numerically. He has a good grasp of the subjects like viscous potential flow, electro-hydrodynamics, magneto-hydrodynamics, heat, and mass transfer. He has excellent communication skills and leadership qualities. He is self-motivated and responds to suggestions in a more convincing manner. Dr. Awasthi has qualified National Eligibility Test (NET) conducted on all India level in the year 2008 by the Council of Scientific and Industrial Research (CSIR) and got Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF) for doing research. He has published 135 plus research publications (journal articles/books/book chapters/conference articles) in Elsevier, Taylor & Francis, Springer, Emerald, World Scientific, and many other national and international journals and conferences. Also, he has published 15 books. He is also a series editor of Artificial Intelligence and Machine Learning for Intelligent Engineering Systems published by CRC Press (Taylor & Francis USA. He has attended many symposia, workshops, and conferences in mathematics as well as fluid mechanics. He has got the “Research Awards” consecutively four times from 2013-2016 by the University of Petroleum and Energy Studies, Dehradun, India. He has also received the start-up research fund for his project “Nonlinear study of the interface in multilayer fluid system” from UGC, New Delhi. He is also listed among the top 2% of influential researchers in the world, as prepared by Stanford University based on Scopus data for the years 2022 and 2023. His Orcid is: 0000-0002-6706-5226, Google Scholar web link is https://scholar.google.co.in/citations?user=Dj3ktGAAAAAJ and research gate web link ishttps://www.researchgate.net/profile/Mukesh-Awasthi-2.

Dr. Dhananjay Yadav received his Ph.D. degree from Department of Mathematics, Indian Institute of Technology (IIT) Roorkee, India in 2013 and post-graduation (M.Sc.) in Mathematics from DDU University Gorakhpur, India in 2007. Currently, he is working as an Associate Professor in Department of Mathematics at University of Nizwa, Oman. Prior to his appointment to University of Nizwa, Oman, he had worked as Principal Research Scientist at Athabasca University, Canada, Yonsei University, South Korea and Jeju National University, South Korea. He is a leading expert in CO 2 capture, storage and oil recovery, Computational sustainability and environmental analytics, Fluid mechanics, Numerical analysis, Hydrodynamic and Hydromagnetic stability, Nanofluids and Fluid flow in porous media. He has published more than 100 research articles (high impact factor) in various reputed international journals. He is also listed in the top 2% influential researchers in the World prepared by Stanford University based on Scopus data.

Dr. J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal. He is also distinguished as honorary professor in several universities/colleges/institutes in China, India and Spain. He received his PhD in Mechanical Engineering, MSc in Mechanical Engineering (materials and manufacturing processes) and Mechanical Engineering degree (5 years), from the University of Porto (FEUP), the Aggregate title (Full Habilitation) from the University of Coimbra and the DSc (Higher Doctorate) from London Metropolitan University. He is Fellow (FIET) of IET-London, Fellow (FIMF) of IMF-Birmingham and Eur Ing by Engineers Europe FEANI-Brussels. He is also Senior Specialist Engineer by the Portuguese Order of Engineers with an MBA and Specialist titles in Industrial Management as well as in Metrology. He has more than 35 years of teaching and research experience in Manufacturing, Materials, Mechanical and Industrial Engineering, with special emphasis in Machining, Tribology & Surface Engineering. He has also interest in Design, Management, Sustainability, Industry 5.0, Engineering Education and Higher Education for Sustainability. He has guided large numbers of postdoc, PhD and master’s students as well as has coordinated and participated in several financed research projects. He has received several scientific awards and honors. He has worked as evaluator of projects for ERC-European Research Council and other international research agencies as well as examiner of PhD thesis for many universities in different countries. He is the Editor in Chief of several international journals, book Series Editor and Scientific Advisory for many conferences ORCID: https://orcid.org/0000-0002-5659-3111

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