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E-book

Title Statistical and computational techniques in manufacturing / J. Paulo Davim (ed.)
Published Heidelberg ; New York : Springer, ©2012

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Description 1 online resource (xiv, 285 pages) : illustrations (some color)
Contents Design of Experiment Methods in Manufacturing: Basics and Practical Applications / Viktor P. Astakhov -- Stream-of-Variation Based Quality Assurance for Multi-station Machining Processes--Modeling and Planning / J.V. Abellan-Nebot, J. Liu, F. Romero Subiron -- Finite Element Modeling of Chip Formation in Orthogonal Machining / Amrita Priyadarshini, Surjya K. Pal, Arun K. Samantaray -- GA-Fuzzy Approaches: Application to Modeling of Manufacturing Process / Arup Kumar Nandi -- Single and Multi-objective Optimization Methodologies in CNC Machining / Nikolaos Fountas, Agis Krimpenis, Nikolaos M. Vaxevanidis, J. Paulo Davim -- 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 -- Manufacturing Seamless Reservoirs by Tube Forming: Finite Element Modelling and Experimentation / Luis M. Alves, Pedro Santana, Nuno Fernandes, Paulo A.F. Martins
Summary 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
Analysis Engineering
Computer science
Mechanical engineering
Machinery
Manufacturing, Machines, Tools
Computational Science and Engineering
Bibliography Includes bibliographical references and indexes
Notes Online resource; title from PDF title page (SpringerLink, viewed July 3, 2013)
In Springer eBooks
Subject Manufacturing processes -- Mathematical models
Manufacturing processes -- Computer simulation
TECHNOLOGY & ENGINEERING -- Industrial Engineering.
TECHNOLOGY & ENGINEERING -- Industrial Technology.
TECHNOLOGY & ENGINEERING -- Manufacturing.
TECHNOLOGY & ENGINEERING -- Technical & Manufacturing Industries & Trades.
Ingénierie.
Manufacturing processes -- Computer simulation
Manufacturing processes -- Mathematical models
Form Electronic book
Author Davim, J. Paulo, editor.
ISBN 9783642258596
364225859X