Computational Fluid Dynamics for Mechanical Engineering

George Qin

ISBN 10: 0367687291 / ISBN 13: 9780367687298

Published by Taylor & Francis Ltd, 2021

About this Item

2021. 1st Edition. Hardcover. . . . . .

Seller Inventory # V9780367687298

Bibliographic Details

• Title: Computational Fluid Dynamics for Mechanical Engineering
• Publisher: Taylor & Francis Ltd
• Publication Date: 2021
• Language: English
• ISBN 10: 0367687291
• ISBN 13: 9780367687298
• Binding: Hardcover
• Edition: 1st Edition
• Condition: New

About this title

Synopsis

This textbook presents the basic methods, numerical schemes, and algorithms of computational fluid dynamics (CFD). Readers will learn to compose MATLAB® programs to solve realistic fluid flow problems.

Newer research results on the stability and boundedness of various numerical schemes are incorporated. The book emphasizes large eddy simulation (LES) in the chapter on turbulent flow simulation besides the two-equation models. Volume of fraction (VOF) and level-set methods are the focus of the chapter on two-phase flows.

The textbook was written for a first course in computational fluid dynamics (CFD) taken by undergraduate students in a Mechanical Engineering major.

Access the Support Materials: https://www.routledge.com/9780367687298.

About the Author

Dr. George (Zhaohui) Qin is currently an associate professor in the School of Engineering and Computer Science of Cedarville University at Cedarville, Ohio. George obtained his B.S. and M.S. degrees in Mechanical Engineering from Shanghai Jiaotong University of China. He carried out research on large eddy simulation (LES) of turbulent flows in rotating ducts under supervision of Dr. Richard Pletcher of Iowa State University for his Ph.D. degree. Upon receiving his degree in 2007, George began to work as a lecturer and post-doc research fellow in Iowa State University. He moved to Cedarville University in 2012. George teaches and researches in the general thermal-fluids area including Thermodynamics, Fluid Mechanics, Heat Transfer, Computational Fluid Dynamics, and Turbulent Flows.