A systems approach to engineering measurements, now in its Eighth Edition

Theory and Design for Mechanical Measurements provides a systematic framework for designing measurement systems and test plans that achieve accurate results. This edition addresses the rapid integration of data-acquisition technologies and numerical-based intelligence strategies into modern measurement practice, while maintaining rigorous treatment of statistics and uncertainty analysis throughout.

New to this edition is coverage of Python programming and numerical approaches to solving differential equations, alongside updated standards and standard test procedures. The text features 20% new end-of-chapter problems, case studies, and vignettes demonstrating real-world techniques. Companion sites provide a solutions manual, practice problems, image files, and supporting data files.

Readers will also find:

• Device selection guidance and measurement system performance criteria organized to support flexible undergraduate course structures across engineering disciplines
• Coverage of current data-acquisition and imaging technologies that reflect the shift from stand-alone instrumentation to integrated digital systems
• Treatment of virtual instrument algorithms replacing physical hardware, preparing practitioners for AI-driven measurement and feedback control workflows
• Result reporting and analysis protocols aligned with ASME standards, reinforcing professional engineering practice and regulatory compliance expectations
• A pedagogical framework adaptable to mechanical, biosystems, automotive, and bioengineering curricula at undergraduate and graduate levels

Designed for undergraduate and graduate students in mechanical, biosystems, automotive, and bioengineering programs, this text also serves professional engineers seeking a reliable reference. Taught at nearly 180 schools with annual enrollment exceeding 20,000 students, the book connects foundational measurement theory with contemporary practice.

Richard S. Figliola, PhD, is Alumni Distinguished Professor Emeritus of Mechanical Engineering and Bioengineering and Research Professor at Clemson University. A Fellow of ASME, he serves on the ASME PTC 19.1 Test Uncertainty Committee and is well published in aerodynamics, bio-fluid mechanics, and thermal engineering.

Donald E. Beasley, PhD, is Professor Emeritus of Mechanical Engineering at Clemson University, where he specialized in heat transfer research. A Fellow of ASME, he earned his PhD in Mechanical Engineering from the University of Michigan and brings decades of teaching and research experience.

Ethan O. Kung, PhD, is Associate Professor of Mechanical Engineering and Bioengineering at Clemson University, with research focused on cardiovascular biomechanics and medical devices. He earned his PhD in Bioengineering from Stanford University and has served in editorial, ASME, and international standards leadership roles.