4 out of 4 stars
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Applied Computational Fluid Dynamics and Turbulence Modeling is a textbook for students and practicing professionals who wish to be familiar with computational fluid dynamics (CFD) to solve different research and engineering problems through turbulence modeling. The book makes use of a practical approach by discussing the theories required and apply them in CFD simulations. Based on his years of expertise in the field, Sal Rodriguez provides a helpful resource that can help its intended readers in their jobs and research concerning CFD.
The book contains a comprehensive overview of CFD and turbulence modeling through seven chapters. Chapter One talks about the importance of CFD as a multidisciplinary field. Chapter Two provides a refresher of preliminary concepts such as mass, momentum, and energy conservation, which are needed to understand the derivation of models to be used. Chapter Three demonstrates the “LIKE” Algorithm to estimate four key variables that can be used to solve additional variables in describing turbulence. Chapter Four introduces the motivation, development, and applicability of Reynolds-averaged Navier–Stokes (RANS) Turbulence Modeling. Chapter Five discusses the differences between Large Eddy Simulation (LES) and Direct Numerical Simulation (DNS) Turbulence Modeling, along with their derivation, boundary and initial conditions, and practical recommendations. Lastly, Chapters Six and Seven offer guidelines and resources to conduct turbulence modeling.
Since CFD is a relatively new field of research, discussions regarding the field must be supported by peer-reviewed resources. As expected, the book is well researched as it contains extensive resources to provide credibility and reliability of the methodologies used. It also includes clear and well-formatted visuals to aid readers in understanding certain concepts and experiments like the impact of Reynolds number (Re) and swirl angle (θ) on the azimuthal velocity field. The book also contains sample problems, which can help the readers familiarize themselves with CFD and turbulence modeling applications.
It is important to note that Applied Computational Fluid Dynamics and Turbulence Modeling is a highly technical book that requires in-depth mathematical background to understand. But despite this, the book provides enough details that make it inviting to those who are unfamiliar with CFD. It does this by discussing the concepts and derivations in a step-by-step manner, which makes the book easy to follow. It also helps that the book is professionally edited.
Because of all of these, the author does a good job of making a complex topic accessible to its intended readers. Overall, Applied Computational Fluid Dynamics and Turbulence Modeling is a great resource in understanding CFD and doing turbulence modeling. I rate this book 4 out of 4 stars, and there’s nothing more I can say that is negative about the book. Because of the book’s complex topic, I can only recommend it to those who have at least college-level mathematical background to understand the book.
Applied Computational fluid dynamics and turbulence modeling
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