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Statistical and Computational Techniques in Manufacturing

  • Book
  • © 2012

Overview

Editors:
  1. J. Paulo Davim

    1. Department of Mechanical Engineering, University of Aveiro , Aveiro, Portugal

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  • 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)

  1. Front Matter

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  2. Design of Experiment Methods in Manufacturing: Basics and Practical Applications

    • Viktor P. Astakhov
    Pages 1-54

  3. Stream-of-Variation Based Quality Assurance for Multi-station Machining Processes – Modeling and Planning

    • J. V. Abellan-Nebot, J. Liu, F. Romero Subiron
    Pages 55-99

  4. Finite Element Modeling of Chip Formation in Orthogonal Machining

    • Amrita Priyadarshini, Surjya K. Pal, Arun K. Samantaray
    Pages 101-144

  5. GA-Fuzzy Approaches: Application to Modeling of Manufacturing Process

    • Arup Kumar Nandi
    Pages 145-185

  6. Single and Multi-objective Optimization Methodologies in CNC Machining

    • Nikolaos Fountas, Agis Krimpenis, Nikolaos M. Vaxevanidis, J. Paulo Davim
    Pages 187-218

  7. Numerical Simulation and Prediction of Wrinkling Defects in Sheet Metal Forming

    • M. P. Henriques, T. J. Grilo, R. J. Alves de Sousa, R. A. F. Valente
    Pages 219-252

  8. Manufacturing Seamless Reservoirs by Tube Forming: Finite Element Modelling and Experimentation

    • Luis M. Alves, Pedro Santana, Nuno Fernandes, Paulo A. F. Martins
    Pages 253-280

  9. Back Matter

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Keywords

About this book

In recent years, interest in developing statistical and computational techniques for applied manufacturing engineering has been increased. Today, due to the great complexity of manufacturing engineering and the high number of parameters used, conventional approaches are no longer sufficient. Therefore, in manufacturing, statistical and computational techniques have achieved several applications, namely, modelling and simulation manufacturing processes, optimization manufacturing parameters, monitoring and control, computer-aided process planning, etc. The present book aims to provide recent information on statistical and computational techniques applied in manufacturing engineering. The content is suitable for final undergraduate engineering courses or as a subject on manufacturing at the postgraduate level. This book serves as a useful reference for academics, statistical and computational science researchers, mechanical, manufacturing and industrial engineers, and professionals in industries related to manufacturing engineering.

Editors and Affiliations

  • Department of Mechanical Engineering, University of Aveiro , Aveiro, Portugal

    J. Paulo Davim

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

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