£72.98

Springer High Definition Metrology Based Surface Quality Control and Applications

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Description

This book provides insights into surface quality control techniques and applications based on high-definition metrology (HDM). Intended as a reference resource for engineers who routinely use a variety of quality control methods and are interested in understanding the data processing, from HDM data to final control actions, it can also be used as a textbook for advanced courses in engineering quality control applications for students who are already familiar with quality control methods and practices. It enables readers to not only assimilate the quality control methods involved, but also to quickly implement the techniques in practical engineering problems. Further, it includes numerous case studies to highlight the implementation of the methods using measured HDM data of surface features. Since MATLAB is extensively employed in these case studies, familiarity with this software is helpful, as is a general understanding of surface quality control methods. From the Back Cover This book provides insights into surface quality control techniques and applications based on high-definition metrology (HDM). Intended as a reference resource for engineers who routinely use a variety of quality control methods and are interested in understanding the data processing, from HDM data to final control actions, it can also be used as a textbook for advanced courses in engineering quality control applications for students who are already familiar with quality control methods and practices. It enables readers to not only assimilate the quality control methods involved, but also to quickly implement the techniques in practical engineering problems. Further, it includes numerous case studies to highlight the implementation of the methods using measured HDM data of surface features. Since MATLAB is extensively employed in these case studies, familiarity with this software is helpful, as is a general understanding of surface quality control methods. About the Author Prof. Shichang Du received the B.S. and M.S.E. degrees in mechanical engineering from the Hefei University of Technology, Hefei, China, in 2000 and 2003, respectively, and the Ph.D. degree in industrial engineering and management from Shanghai Jiao Tong University, Shanghai, China, in 2008. Prof. Du was a Visiting Scholar with the University of Michigan, Ann Arbor, Michigan, USA, from 2006 to 2007. He is currently a Professor at Shanghai Jiao Tong University. His current research interests include quality and reliability engineering, quality control with analysis of error flow, and monitoring and diagnosis of manufacturing process. Since 2005, Prof. Du has published 72 peer-reviewed technical papers in international journals and conferences. He is a member of IEEE and served as a reviewer of several international journals. Meantime, he is an Area Editor of Computers and Industrial Engineering, and an Associate Editor of Flexible Services and Manufacturing journal. He was a recipient of Best Paper Award at the 12th International Conference on Industrial Engineering and Engineering Management in 2005. Prof. Du was also awarded Shanghai Science and Technology Progress Award (First Prize) in 2012 and Shanghai Young Scholar Science and Technology Rising-Star Award in 2013 by Shanghai Municipal Government, respectively. Prof. Lifeng Xi received the B.S. degree from the University of Science and Technology of China, Hefei, China, in 1989, the M.S. degree from Chinese Academy of Sciences, Xi’an, China, in 1992, and the Ph.D. degree from Shanghai Jiao Tong University, Shanghai, China, in 1995, all in mechanical engineering. Prof. Xi is currently the vice president of Shanghai Jiao Tong University. His current research interests include quality and reliability engineering, theory and method of production system planning and design, and precision manufacturing of auto engine. Since 1996, Prof. Xi has published more than 100 peer-reviewed technical

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 October 2019
Listed Since
13 August 2019

Barcode

No barcode data available

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