Overview
- Chapters written by experts in the field
- Useful for teaching modern manufacturing
- Reference work for both students and industrial engineers
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Table of contents (7 chapters)
Editors and Affiliations
About the editor
J. Paulo Davim received his PhD degree in Mechanical Engineering from the University of Porto in 1997 and the Aggregation from the University of Coimbra in 2005. Between 1986/96, he was a lecturer at the University of Porto. Currently, he is an Aggregate Professor at the Department of Mechanical Engineering of the University of Aveiro and the Head of MACTRIB - Machining and Tribology Research Group
http://www2.mec.ua.pt/machining . He has over 24 years of teaching and research experience in manufacturing, materials and mechanical engineering, with special emphasis in Machining & Tribology. He is the Editor-in-Chief of six international journals, Guest Editor of journals, books Editor, book Series Editor and Scientific Advisory for many
international journals and conferences. Presently, he is an Editorial Board member of 15 international journals and reviewer for than 50 prestigious ISI web Science journals. In addition, he has also authored and co-authored more than 20 book chapters and 300 articles in journals and
conferences (more 150 articles in ISI Web Science, h-index 16).
Personal Web page:
http://www2.mec.ua.pt/machining/pers-davim.htm
Publications:
http://www2.mec.ua.pt/machining/Publications_Mactrib.htm
Bibliographic Information
Book Title: Statistical and Computational Techniques in Manufacturing
Editors: J. Paulo Davim
DOI: https://doi.org/10.1007/978-3-642-25859-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-25858-9Published: 14 March 2012
Softcover ISBN: 978-3-642-44447-0Published: 16 April 2014
eBook ISBN: 978-3-642-25859-6Published: 06 March 2012
Edition Number: 1
Number of Pages: XIV, 285
Number of Illustrations: 137 b/w illustrations
Topics: Manufacturing, Machines, Tools, Processes, Mechanical Engineering, Computational Science and Engineering