Fluid Flow and Heat Transfer Modeling: Computational Dynamics, Numerical Modeling, Flow Simulation

Bridging theory and computation, it highlights modern solution strategies including similarity transformations, finite element and finite volume methods, mesh-free RBF-FD techniques, and high-precision Runge–Kutta schemes. The volume further advances into optimization frameworks, artificial intelligence, machine learning, and ANN-based predictive modeling for enhanced thermal performance and real-time flow analysis.

Designed for researchers, graduate students, and practicing engineers, this book provides both rigorous mathematical foundations and forward-looking computational tools essential for next-generation fluid flow simulation and intelligent thermal system design.