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Essential Computational Fluid Dynamics, by Oleg Zikanov
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This book serves as a complete and self-contained introduction to the principles of Computational Fluid Dynamic (CFD) analysis. It is deliberately short (at approximately 300 pages) and can be used as a text for the first part of the course of applied CFD followed by a software tutorial. The main objectives of this non-traditional format are: 1) To introduce and explain, using simple examples where possible, the principles and methods of CFD analysis and to demystify the `black box’ of a CFD software tool, and 2) To provide a basic understanding of how CFD problems are set and which factors affect the success and failure of the analysis. Included in the text are the mathematical and physical foundations of CFD, formulation of CFD problems, basic principles of numerical approximation (grids, consistency, convergence, stability, and order of approximation, etc), methods of discretization with focus on finite difference and finite volume techniques, methods of solution of transient and steady state problems, commonly used numerical methods for heat transfer and fluid flows, plus a brief introduction into turbulence modeling.
- Sales Rank: #679867 in Books
- Published on: 2010-03-29
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x .80" w x 6.30" l, 1.25 pounds
- Binding: Hardcover
- 320 pages
From the Back Cover
The essential introductory guide to computational fluid dynamics
As modern advancements continue to generate growth in computer power, and as new, more accurate and effective numerical techniques are developed, computational fluid dynamics is emerging as a primary method for analyzing fluid flows and heat transfer. CFD is used in many areas, such as astrophysics, weather prediction, and biomedical research, but mainly in engineering, where it has become an everyday tool of design and optimization. Essential Computational Fluid Dynamics shows why it is imperative for newcomers in this field as well as for experienced engineers to understand the basics of CFD analysis in order to apply available CFD software correctly and efficiently. This indispensable companion:
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Introduces computational fluid dynamics to undergraduate and graduate students, as well as to working professionals in the areas of practical applications of CFD, such as mechanical, civil, chemical, or environmental engineering
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Focuses on the needs of someone who wants to apply the CFD software and understand how it works, rather than develop new codes
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Covers all the major topics, from the basics of discretization to turbulence modeling and uncertainty analysis
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Discusses complex issues using simple examples and rein-forces learning with problems
With expert guidance and a wealth of useful techniques, this book offers a clear, concise, and accessible account of the essentials needed to conduct and interpret a CFD analysis.
About the Author
Oleg Zikanov is an Associate Professor in the Department of Mechanical Engineering at the University of Michigan–Dearborn.
Most helpful customer reviews
9 of 9 people found the following review helpful.
A very good CFD textbook
By Ping_Ford
By observing history of CFD textbooks, one notices that it almost becomes a trend CFD books getting thicker and thicker. Many authors want their books as detailed and broader as possible. The intention is obviously good. But for many CFD beginners, the information from those comprehensive text books is just overwhelming. Some students even got discouragement by complex expression or nomenclature such as tensor quantities or certain mathematical spaces, etc. Therefore there is a need to have a book easy to read and understand from basic CFD concept to detailed numerical procedures representing up-to-date subject advancement, in the meantime to cover most important theories and applications. Dr. Zikanov's book finds itself in this niche position. From teaching experience in or out of classroom, I observed most students like this book and benefit lots out of that.
So I strongly recommend this textbook for those trying to understand and implement CFD in a relatively short period of time. That includes fluids majored undergraduate student in their senior level and 1st/2nd year graduate students, or non-fluids majored graduate students.
5 of 5 people found the following review helpful.
Mini Bible
By Kate
I used this book to help me with my course. Like the title of the book, it provides the essence of the subject. CFD is a vast field and to me, as a novice, this book served as a map. The Chapters and Review questions keep you engrossed and the same time does not digress. Now being more familiar with CFD and having read other books, this book serves me as a 'review-paper'. Good Luck!!
4 of 4 people found the following review helpful.
Great overview for those with no formal CFD training
By J. Richardson
I picked up this book after I ran into a particularly tough CFD project at work. I'd been a CFD enthusiast for a while, but was never exposed to it in coursework thanks to professors who believed more in strong (finite element) theoretical foundations than in practical (finite volume) experience.
Conclusion: it's well worth the money. Perhaps more than any other textbook, Essential Computational Fluid Dynamics (ECFD) shines more for what it isn't than for what it is. This not a dense text filled with equations, proofs, obscure tensor references, and quantum leaps in understanding between pages as so many other computational methods in engineering books are. Rather, it's a thorough overview of the topic, aimed squarely at CFD *users* who want to peek under the hood as opposed to CFD developers or numerical methods theorists.
The only prerequisites for reading are undergrad Fluid Mechanics I & II and graduate Partial Differential Equations courses, though it would help to have some formal exposure to (the linear algebra involved in) Finite Element Methods and basic Numerical Methods courses.
My sole suggestion for improvement in a future version is addition of more linear algebra details (such as matrix structures) and an expanded discussion of RANS methods (e.g. Standard k-e vs. RNG vs. Realizable k-e, etc.). Considering that the former is the basis of nearly all CFD modeling and the latter are the most commonly used class of turbulence models, more on them would have been appreciated.
However, just about every commercial solver offering RANS methods includes documentation on them, so that's not necessarily a huge omission from a vocational standpoint.
As such, I award this book 5 stars and recommend it to everyone.
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