Introduction to Engineering Experimentation

KEY BENEFIT: An up-to-date, practical introduction to engineering experimentation. Introduction to Engineering Experimentation, 3E introduces many topics that engineers need to master in order to plan, design, and document a successful experiment or measurement system. The text offers a practical approach with current examples and thorough discussions of key topics, including those often ignored or merely touched upon by other texts, such as modern computerized data acquisition systems, electrical output measuring devices, and in-depth coverage of experimental uncertainty analysis.

The book includes theoretical coverage and selected applications of statistics and probability, instrument dynamic response, uncertainty analysis and Fourier analysis; detailed descriptions of computerized data acquisition systems and system components, as well as a wide range of common sensors and measurement systems such as strain gages and thermocouples. Worked examples are provided for theoretical topics and sources of uncertainty are presented for measurement systems.

For engineering professionals looking for an up-to-date, practical introduction to the field of engineering experimentation.

This text for an undergraduate junior or senior course covers the most common elements necessary to design, execute, analyze, and document an engineering experiment or measurement system and to specify instrumentation for a production process. In addition to descriptions of common measurement systems, the text covers computerized data acquisition systems, common statistical techniques, experimental uncertainty analysis, and guidelines for planning and documenting experiments. The authors are affiliated with the school of engineering at San Francisco State University. Annotation ©2003 Book News, Inc., Portland, OR

Booknews

An introduction to experiment design and measurement systems, describing common measurement systems for factors such as humidity and flow rate; computerized data acquisition systems; statistical techniques; experimental uncertainty analysis; and guidelines for planning and documenting experiments. Includes problems and answers, chapter summaries, a glossary, and appendices of computational methods and properties of substances. For engineering students in a semester course of up to three lectures with one lab per week, assuming a prior course in statistics. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Anthony J. Wheeler received a Ph.D. in Mechanical Engineering from Stanford University in 1971. Dr. Wheeler is a licensed Professional Engineer in the State of California. He is currently Emeritus Professor of Engineering at San Francisco State University where he taught courses in Fluid Mechanics and Thermodynamics, and lectures and laboratories in Experimental Methods. His development activities in laboratories in experimentation were the precursors to the present textbook.

Professor Ahmad R. Ganji received his Ph.D. from the University of California, Berkeley in 1979. He is a professional engineer in the State of California. He has served as a faculty member at San Francisco State University since 1987, teaching courses in the areas of thermal-fluids, experimentation, and air pollution, and publishing over 40 works. Dr. Ganji has been the director of Industrial Assessment Center–a US DOE sponsored project since 1992. In this capacity he has managed hundreds of energy assessments of manufacturing facilities. As a consultant in energy efficiency projects, he has directed and managed numerous measurement and verification (M&V) projects that involve the formulation of detailed measurement protocols based on national and international standards.