Artificial Intelligence and Computational Modeling in Heat Transfer and Fluid Dynamics

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 delve