- Hardcover: 626 pages
- Publisher: MIT Press; illustrated edition edition (1 Aug 1994)
- Language English
- ISBN-10: 0262061651
- ISBN-13: 978-0262061650
- Product Dimensions: 23.9 x 20.9 x 4.1 cm
- Amazon Bestsellers Rank: 576,525 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Description
Product Description
Introduction to Fluid Mechanics is a mathematically efficient introductory text for a basal course in mechanical engineering. More rigorous than existing texts in the field, it is also distinguished by the choice and order of subject matter, its careful derivation and explanation of the laws of fluid mechanics, and its attention to everyday examples of fluid flow and common engineering applications.Beginning with the simple and proceeding to the complex, the text introduces the principles of fluid mechanics in orderly steps. At each stage practical engineering problems are solved, principally in engineering systems such as dams, pumps, turbines, pipe flows, propellers, and jets, but with occasional illustrations from physiological and meteorological flows. The approach builds on the student's experience with everyday fluid mechanics, showing how the scientific principles permit a quantitative understanding of what is happening and provide a basis for designing engineering systems that achieve the desired objectives.Introduction to Fluid Mechanics differs from most engineering texts in several respects: The derivations of the fluid principles (especially the conservation of energy) are complete and correct, but concisely given through use of the theorems of vector calculus. This saves considerable time and enables the student to visualize the significance of these principles. More attention than usual is given to unsteady flows and their importance in pipe flow and external flows. Finally, the examples and exercises illustrate real engineering situations, including physically realistic values of the problem variables. Many of these problems require calculation of numerical values, giving the student experience in judging the correctness of his or her numerical skills.
About the Author
James A. Fay is Professor Emeritus and Senior Lecturer in the Department of Mechanical Engineering at MIT.
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