Artificial Intelligence And Computational Modeling In Heat Transfer And Fluid Dynamics

Artificial Intelligence in Heat Transfer and Fluid Dynamics explores how AI and machine learning are transforming thermal sciences by enhancing traditional computational methods used in heat transfer and fluid dynamics. Covering topics such as AI-driven optimisation, neural network modelling, predictive maintenance, turbulence analysis, microfluidics, and real-time flow control, the book combines theory, practical applications, and industrial case studies to help engineers and researchers solve complex thermal and fluid engineering challenges more efficiently.