For undergraduate-level courses in Introduction to Engineering Experimentation found in departments of Mechanical, Aeronautical, Civil, and Electrical Engineering.
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.
An easy-to-read and follow style.
Unlike other texts on the topic, Wheeler and Ganji’s third edition offers a practical and accessible introduction to the topic of engineering experimentation including extensive coverage of state-of-the-art technologies and experimental methods, and a logical and comprehensive treatment of experimental methods and analysis.
Detailed practical examples and homework problems throughout.
This text features a large number of practical, detailed examples and modern homework problems to test and challenge students’ understanding. Over 100 new problems have been created for the third edition.
Statistical Analysis of Experimental Data.
This text covers the most common statistical techniques used by engineers. In addition to basic concepts, such as mean and standard deviation, the probability distribution functions important to engineers are presented with worked examples. Linear regression, multiple regression, and polynomial regression are covered as well, as are methods to predict the uncertainty intervals of measured variables. This edition also covers two additional distribution functions (exponential and log-normal) and the uncertainty associated with linear regression.
Experimental Uncertainty Analysis.
Conforming to the latest ASME and ISO standards, the text provides students with a detailed presentation of the most recent approach to experimental uncertainty analysis. Numerous examples are included. (See chapter on Experimental Uncertainty Analysis.)
Discrete Sampling and Analysis of Time-Varying Signals.
This chapter introduces the Sampling Rate Theorem, the Fourier decomposition of time varying signals, and the practical use of the Fast Fourier Transform to spectrally analyse signals. This edition also covers the concept of windowing, which is used to reduce the problem of leakage in processing data with Fourier transforms.
Computerised Data Acquisition Systems.
This chapter describes overall aspects of computerised data acquisition systems and sub-systems such as analog to digital converters and multiplexers. For this edition, the material on digital connectivity has been significantly extended and enhanced material on digital oscilloscopes included.
Detailed Description of Common Sensors and Measurement Systems.
Three chapters cover common measurement systems in solid mechanics, thermodynamics (pressure and temperature), and fluid mechanics.
Dynamic Behaviour of Measurement Systems.
The authors provide methods used to specify sensors and estimate errors when measurements are affected by the dynamic characteristics of the instruments themselves.
Guidelines for Planning and Documenting Experiments.
This chapter contains a number of subjects that are useful for designing and documenting experiments. Subjects include establishing a test matrix, setting a schedule, and documenting the results.Â
