Artificial Intelligence in Heat Transfer - Couverture rigide

Couverture rigide

ISBN 10 : 1032688106 ISBN 13 : 9781032688107

Editeur : CRC Press, 2025

Synopsis

Artificial Intelligence in Heat Transfer shows how artificial intelligence (AI) tools and techniques, such as artificial neural networks, machine learning algorithms, genetic algorithms, etc., provide practical benefits specific to thermal sciences. It presents case studies involving heat and mass transfer, multi-objective optimization, conjugate heat transfer, nanofluids, thermal radiation, heat transfer through porous media (metal foam), and more.

Drawing on the collective expertise of leading researchers and experts in multiple fields, the book provides an in-depth understanding of the possibilities that emerge when these tools are applied to problems related to thermal sciences. AI is an ever-evolving discipline that has created new and groundbreaking opportunities to advance the mechanical engineering field, particularly in the area of numerical heat transfer. This volume, Advances in Numerical Heat Transfer, explores various ways AI is used in heat transfer to solve engineering problems.

This book will serve as an important resource for upper-level undergraduate students, researchers, engineers, and professionals, equipping them with the knowledge and inspiration to push the boundaries of the thermal sciences through AI-driven tools and techniques.

A propos du livre

À propos de l'auteur

J.P. Abraham is a professor of thermal sciences at the University of St. Thomas School of Engineering, Minnesota, and the current editor-in-chief of Numerical Heat Transfer. His area of research includes thermodynamics, heat transfer, fluid flow, numerical simulation, and energy. After gaining his doctorate at the University of Minnesota in 2002, he joined St. Thomas as an adjunct instructor, later becoming a full-time faculty member. He has produced over 400 publications, books, book chapters, conference presentations, and patents in areas including biological heat transfer and fluid flow, biomedical device design, energy, burn injuries, climate change, fundamental heat transfer and fluid mechanics, and manufacturing processes.

J.M. Gorman is currently an independent consultant in the mechanical engineering field. In addition to teaching as an adjunct professor, he is also a part of several startup companies ranging from biomedical, automotive, and novel heat recovery systems. After receiving his doctorate at the University of Minnesota in 2014, he was a research associate at the University of Minnesota until 2020. His research encompasses all facets of mechanical engineering, and his teaching is focused on modeling and numerical simulation in the thermal sciences. He has published over 60 papers in archival journals, along with five book chapters. He has also been a serial editor of Advances in Heat Transfer and the Advances in Numerical Heat Transfer book series.

À propos de la quatrième de couverture

This book shows how AI tools and techniques, such as artificial neural networks, machine learning algorithms, genetic algorithms, etc., provide practical benefits specific to thermal sciences. It presents case studies involving heat and mass transfer, multi-objective optimization, conjugate heat transfer, and more.

Détails de l'édition

• Éditeur: CRC Press
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 1032688106
• ISBN 13: 9781032688107
• Reliure: Relié
• Nombre de pages: 344
• Éditeur: Abraham J. P., Gorman J. M.
• Coordonnées du fabricant: CRC Press; https://www.routledge-ny.com; ; 6000 BROKEN SOUND PARKWAY, NW SUITE 300; BOCA RATON; FL; 33487; Etats-Unis
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