Advances in Computational Fluid Dynamics delves into the emergent ways that engineers are utilizing computer simulations to enhance efficiency, reduce costs, and innovate across aerospace, automotive, energy, and biomedical engineering fields. It provides the most recent tools and strategies for improving prediction accuracy, design, and optimization.

Highlighting the practical uses of CFD in solving real-world engineering issues, the book covers a wide range of physical problems from turbulence modelling and high-performance computing to the integration of machine learning and multiphysics simulation. It includes case studies in aerodynamic designs, energy conversion processes, and cooling systems and examines AI integration and Machine Learning techniques.

The book will interest researchers, upper-level undergraduate, and graduate engineering students studying practical applications of Computational Fluid Dynamics (CFD).