Preface; Table of contents; Lists of symbols; Part I. Use of Experimental Data: 1. Properties, dimensions, and scales; 2. Pipe flow: friction factor and pressure drop; 3. Drag, particles, and porous media; Part II. Fundamentals of Fluid Dynamics: 4. Fluid statics: pressure, gravity, and surface tension; 5. Fluid kinematics; 6. Stress and momentum; Part III. Microscopic Analysis: 7. Unidirectional flow; 8. Approximations for viscous flows; 9. Laminar flow with inertia; 10. Turbulent flow; Part IV. Macroscopic Analysis; 11. Macroscopic balances for mass, momentum, and energy; 12. Pipe flow: entrance effects, fittings, and compressibility; Appendix A. Vectors, tensors, and coordinate systems.
William M. Deen is the Carbon P. Dubbs Professor Emeritus in the Department of Chemical Engineering at Massachusetts Institute of Technology (MIT). He is an author of some 200 research publications in bioengineering, colloid science, membrane science, quantitative physiology, and toxicology, most involving aspects of diffusion or fluid flow. During his 40 years of teaching at MIT, he has focused on undergraduate and graduate fluid mechanics, heat transfer, and mass transfer. He is the author of Analysis of Transport Phenomena (2012), which is used internationally in graduate-level transport courses. Among his awards are the 2012 Bose Award for Excellence in Teaching from the MIT School of Engineering and the 2012 Warren K. Lewis Award for Contributions to Chemical Engineering Education from the American Institute of Chemical Engineers.
'Professor Deen has provided many examples illustrating the principles of fluid dynamics in a clear manner, which highlights both important ideas and their generality. A student should find the approach to be one that assists learning and understanding, and an instructor will find many examples, ideas and quality explanations.' Howard Stone, Princeton University, New Jersey 'It is very well written, the explanations are clear and detailed, and it contains numerous original 'real-world' examples and problems.' Andreas Acrivos, Stanford University, California