000 03282nam a22004575i 4500
001 978-3-642-25859-6
003 DE-He213
005 20140220083307.0
007 cr nn 008mamaa
008 120306s2012 gw | s |||| 0|eng d
020 _a9783642258596
_9978-3-642-25859-6
024 7 _a10.1007/978-3-642-25859-6
_2doi
050 4 _aTJ241
072 7 _aTGXT
_2bicssc
072 7 _aTEC020000
_2bisacsh
082 0 4 _a670
_223
100 1 _aDavim, J. Paulo.
_eeditor.
245 1 0 _aStatistical and Computational Techniques in Manufacturing
_h[electronic resource] /
_cedited by J. Paulo Davim.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aXIV, 286p. 137 illus., 26 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aMachining -- 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.
520 _aIn 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.
650 0 _aEngineering.
650 0 _aComputer science.
650 0 _aMechanical engineering.
650 0 _aMachinery.
650 1 4 _aEngineering.
650 2 4 _aManufacturing, Machines, Tools.
650 2 4 _aMechanical Engineering.
650 2 4 _aComputational Science and Engineering.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642258589
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-25859-6
912 _aZDB-2-ENG
999 _c102498
_d102498