Statistical and Computational Techniques in Manufacturing

Herausgegeben:Davim, J. Paulo

• Gebundenes Buch

Produktbeschreibung

This volume sets out the latest research in information engineering, with peer-reviewed papers from the second World Congress on Computer Science and Engineering, a key forum for promoting collaboration and innovation in this vibrant scientific field.

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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 professionalsin industries related to manufacturing engineering.

Produktdetails

• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 80029858, 978-3-642-25858-9
• 1st Edition.
• Seitenzahl: 300
• Erscheinungstermin: 14. März 2012
• Englisch
• Abmessung: 241mm x 160mm x 20mm
• Gewicht: 586g
• ISBN-13: 9783642258589
• ISBN-10: 3642258581
• Artikelnr.: 34436340

Autorenporträt

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

Inhaltsangabe

Machining.- Non traditional machining (EDM, LAM, USM, etc).-Abrasive machining.- Casting & joining.- Forming.- Powder metallurgy.- Composites & ceramics processing.- Rapid prototyping & tooling processes.- Micro and nanomanufacturing processes.- Sustainable and green manufacturing.- Manufacturing systems.- Statistical and computational techniques.- Design experiments.- Taguchi techniques.- ANOVA (Analysis of variance).- MRA (multi analysis regression).- RSM (Response surface methodology) Finite Element Method (FEM) modeling/simulation.- Artificial Neural Networks (ANNs).- Evolutionary computation.- Fuzzy logic.- Neuro-fuzzy systems.- Particle swarm optimization (PSO).- Optimization techniques of complex systems.