Practical Guide To Designed Experiments (Mechanical Engineering) - Hardcover

Funkenbusch, Paul D.

Hardcover

ISBN 10: 0824753887 ISBN 13: 9780824753887

Publisher: CRC Press, 2004

Synopsis

Many engineers and scientists have receive little or no training in designed experiments, and any courses that are available tend to be either abstract and divorced from practical considerations or strictly practical-lacking the rigor and depth necessary for true, long-term understanding.

Practical Guide to Designed Experiments: A Unified Modular Approach bridges that gap, presenting the essential material in a manner that permits rapid application to practical problems but also provides the structure and understanding necessary for long-term growth. It covers two-level and three-level full and fractional factorial design and also includes the L12 and L18 designs popularized by Taguchi. The author describes the role and selection of the system response for measurement and optimization and discusses both conventional and Taguchi approaches, noting their similarities and differences.

Clearly written and well organized, this text shows how the components of experimental design fit and work together. Offering an abundance of examples, case studies, and practice problems, it is highly suited to anyone with a basic science or engineering background but little or no previous exposure to matrix experiments or other elements of planned experimentation.

About this title

About the Author

Paul D. Funkenbusch is Professor of Mechanical Engineering and Materials Science, University of Rochester, New York.

Review

"This book thoroughly explains how the components of experimental design fit and work together using a unified modular approach The book is clearly written and well organized, offering numerous examples and case studies from many disciplines. Summing Up: Highly recommended." - CHOICE, June 2005 "This book is a great introduction to experimental design for anyone who is unfamiliar with it. It covers statistics, fundamental array design, Taguchi techniques and various analysis techniques. [The author] describes a clear summary of each statistical method, citing concrete examples. Homework helps you to check your understanding in each chapter. It is very helpful to use in various fields and occasions. After learning these techniques, I'm sure you'll be a good experiment designer, saving time, cost and energy." - Akihisa Nishimura, Manager, Fuel Cell Production Engineering, Toyota Motor Corporation

About this edition

• Publisher: CRC Press
• Publication date: 2004
• ISBN 10: 0824753887
• ISBN 13: 9780824753887
• Binding: Hardcover
• Edition number: 1
• Number of pages: 220