Computational Fluid Dynamics (CFD) is a branch of fluid mechanics that makes use of numerical methods and algorithms to solve and analyze problems that involve fluid flows. It is widely used in engineering and scientific research to predict fluid behavior in various scenarios, such as aerodynamics, weather patterns, and chemical reactions. CFD simulations are based on fundamental principles of physics, including conservation of mass, momentum, and energy. By discretizing the governing equations of fluid flow into a grid of computational cells, CFD software calculates the flow properties at each point over time. This enables engineers to visualize and understand complex fluid dynamics phenomena, optimize designs, and make informed decisions without costly physical experiments. CFD continues to evolve with advances in computing power, allowing for more detailed and accurate simulations across diverse applications. This book brings forth some of the most innovative concepts and elucidates the unexplored aspects of Computational Fluid Dynamics. The book presents researches and studies performed by experts across the globe. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge.