Artificial Intelligence and Computational Modeling in Heat Transfer and Fluid Dynamics



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Wiley-Scrivener


Paru le : 2026-01-29



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Description

Drive innovation in thermal sciences with this essential book that leverages artificial intelligence and machine learning to transcend traditional computational methods and solve complex, real-time problems in heat transfer and fluid dynamics.
Traditionally, heat transfer and fluid dynamics have relied on classical computational methods like computational fluid dynamics, which employ numerical techniques to solve governing equations for fluid flow and thermal transport. However, these methods are often computationally intensive and limited in handling complex, real-time scenarios, especially in turbulence modeling, multiphase flows, and optimization tasks. This book explores the transformative impact of artificial intelligence in the fields of heat transfer and fluid dynamics. It covers a range of topics, including AI-based optimization techniques for thermal systems, machine learning applications in fluid dynamics, and the use of neural networks for modeling thermal systems. The book delves into advanced areas such as microfluidics, predictive maintenance, and real-time flow control, highlighting how AI enhances traditional computational fluid dynamics methods. It also presents case studies that illustrate successful implementations of AI in industrial processes, offering practical insights into its applications. By fostering an understanding of both theoretical and practical aspects, equips engineers and researchers with the tools necessary to leverage AI effectively in their work, ultimately driving innovation in thermal sciences.
Pages
464 pages
Collection
n.c
Parution
2026-01-29
Marque
Wiley-Scrivener
EAN papier
9781394433575
EAN PDF
9781394433599

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
464
Taille du fichier
27259 Ko
Prix
205,72 €
EAN EPUB
9781394433582

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
464
Taille du fichier
18299 Ko
Prix
205,72 €

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