Fluid Mechanics https://www.mheducation.com/cover-images/Jpeg_400-high/1260258319.jpeg 9 9781260258318 Fluid Mechanics is the study of fluids as an important branch of engineering mechanics. Almost everything on this planet either is a fluid or moves within or near a fluid. The essence of the subject of fluid flow is a judicious compromise between theory and experiment. This textbook not only makes a great deal of theoretical treatment available, but also provides experimental results as a natural and easy complement to the theory. The principles considered in the book are fundamental, and have been well established. However, in presenting this important subject, we have drawn on our own ideas and experience. Throughout the revisions, the informal and student-oriented writing style has been retained and further enhanced, and if it succeeds, has the flavor of an interactive lecture by the authors.
Fluid Mechanics

Fluid Mechanics

9th Edition
By Frank White
ISBN10: 1260258319
ISBN13: 9781260258318
Copyright: 2021
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09781260258318

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ISBN10: 1260258319 | ISBN13: 9781260258318

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The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

Program Details

Chapter 1 IntroductionChapter 2 Pressure Distribution in a Fluid
Chapter 3 Integral Relations for a Control Volume
Chapter 4 Differential Relations for Fluid Flow
Chapter 5 Dimensional Analysis and Similarity
Chapter 6 Viscous Flow in Ducts
Chapter 7 Flow Past Immersed Bodies
Chapter 8 Potential Flow and Computational Fluid Dynamics
Chapter 9 Compressible Flow
Chapter 10 Open-Channel Flow
Chapter 11 Turbomachinery
Appendix A Physical Properties of Fluids
Appendix B Compressible Flow Tables
Appendix C Conversion Factors
Appendix D Equations of Motion in Cylindrical Coordinates
Appendix E Estimating Uncertainty in Experimental Data