Experimental Methods for Engineers

Holman, J. P.

ISBN 10: 0070296669 / ISBN 13: 9780070296664

Published by McGraw-Hill College, 1994

About this Item

Seller Inventory # mon0003068158

Bibliographic Details

Title: Experimental Methods for Engineers

Publisher: McGraw-Hill College

Publication Date: 1994

Binding: hardcover

Condition: Very Good

About this title

Synopsis:

This book is intended for use in a course on engineering measurements or experimental methods at the upper undergraduate/graduate level in mechanical, chemical and electrical engineering departments. It offers a broad scope of experimental measurement techniques for mechanical and general engineering applications. This text emphasizes the use of uncertainty analysis and statistical data analysis in the estimation of the accuracy of measurements. This sixth edition includes a glossary of data acquisition terms. The scope of the text has been enhanced by expansion of statistical data analysis and general system analysis. Over 100 worked examples and 500 end-of-chapter problems are included, and writing projects have been revised.

From the Publisher:

New! A new chapter, "Design of Experiments," integrates the discussions of the text to offer an overall protocol for experiment design. Instead of focusing on "statistical design," the author presents a more general and comprehensive consideration of time restraints and presentation requirements. The chapter contains check list tables for a design "protocol" as well as five diverse case study examples to illustrate the use of protocol with examples ranging from convection coefficient determination to a "legal fire."
New! 10% more problems and the Instructors Solutions Manual will be typeset for the first time.
New! Updated and expanded treatment of data analysis and report writing details methods for displaying graphics, and use of trendlines and correlations.
Maintaining its thorough coverage of thermal-fluid measurement techniques, the text continues to emphasize experimental uncertainties as essential elements in experiment design, execution, and instrument selection.