Fluid Mechanics (SI) (8版)

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【原文書】 書名：Fluid Mechanics 8/e (In SI Units) 作者：Frank M. White 出版社：McGraw-Hill 出版日期：2016/01/00 ISBN：9789814720175 目錄 Chapter 1: Introduction Chapter 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 Answers to Selected Problems Index

Viscous Fluid Flow (4版)

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Viscous Fluid Flow 4/e 作者：Frank M. White, Joseph Majdalani ISBN：9781260597806 版次：4 年份：2022 出版商：McGraw-Hill 頁數/規格：544頁/平裝單色 Description White's Viscous Fluid Flow is known for its academic rigor and effectiveness at serving as a "one-stop shop" for those interested in expanding their knowledge of the rich and evolving field of fluid mechanics. The material can be selectively presented in a one-semester course or even longer with more extensive coverage. The evolution of viscous-flow prediction continues its journey toward more efficiently resolved, stable, and high-order simulations. This book, however, retains its focus on presenting viscous-flow concepts. As such, a strong emphasis is placed on the physical insight and mathematical depth that are gained while systematically exploring a rich variety of flow problems. Our objective has been to make the book readable, descriptive, and inspiring. The book continues to be a senior or first-year graduate textbook on viscous motion with a well-balanced mix of engineering applications. The fourth edition contains important updates to help students' problem solving. It includes over 200 new references, in addition to at least 125 new problems. Table of Contents 1 Preliminary Concepts 2 Fundamental Equations of Compressible Viscous Flow 3 Solutions of the Newtonian Viscous-Flow Equations 4 Laminar Boundary Layers 5 The Stability of Laminar Flows 6 Incompressible Turbulent Mean Flow 7 Compressible Boundary Layer Flow

An Introduction to Computational Fluid Dynamics The Finite Volume Method 2/E 2007 <PH> 978-0-13-127498-3 (2版)

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【原文書】 書名：An Introduction to Computational Fluid Dynamics The Finite Volume Method 2/E 作者：H.K.VERSTEEG 出版社：PEARSON 出版日期：2007/02/16 ISBN：9780131274983

Introduction to Computational Nanomechanics

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Description An original comprehensive guide on computational nanomechanics discussing basic concepts and implications in areas such as computational physics, materials, mechanics and engineering as well as several other interdisciplinary avenues. This book makes the underlying theory accessible to readers without specialised training or extensive background in quantum physics, statistical mechanics, or theoretical chemistry. It combines a careful treatment of theoretical concepts with a detailed tutorial on computer software and computing implementation, including multiscale simulation and computational statistical theory. Multidisciplinary perspectives are provided, yielding a true insight on the applications of computational nanomechanics across diverse engineering fields. The book can serve as a practical guide with step-by-step discussion of coding, example problems and case studies. This book will be essential reading for students new to the subject, as well as an excellent reference for graduates and researchers. Includes interdisciplinary and multidisciplinary perspectives, showing the applications of computational nanomechanics in different engineering fields Introduces the complex computational physics theory step-by-step using ordinary engineering language explanations, detailed derivations that are often missing in physics literature, and examples throughout Provides hands-on examples and experiences so that readers can gain in-depth knowledge and learn essential skills without in-person teaching