LEADER 03507nam 2200613 450 001 9910464916803321 005 20200520144314.0 010 $a3-03826-174-2 035 $a(CKB)3710000000021488 035 $a(EBL)1910355 035 $a(SSID)ssj0001189874 035 $a(PQKBManifestationID)11665263 035 $a(PQKBTitleCode)TC0001189874 035 $a(PQKBWorkID)11196937 035 $a(PQKB)10117245 035 $a(MiAaPQ)EBC1910355 035 $a(Au-PeEL)EBL1910355 035 $a(CaPaEBR)ebr10777828 035 $a(OCoLC)868960893 035 $a(EXLCZ)993710000000021488 100 $a20111102h20132013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aSoft computing techniques for machining of composites /$fedited by V.N. Gaitonde, S.R. Karnik and J. Paulo Davim 210 1$aDurnten-Zurich :$cTrans Tech Publications,$d[2013] 210 4$dİ2013 215 $a1 online resource (147 p.) 225 0$aMaterials science forum ;$v766 300 $aSpecial topic volume with invited peer reviewed papers only. 311 $a3-03785-793-5 320 $aIncludes bibliographical references and indexes. 327 $aSoft Computing Techniques for Machining of Composites; Preface; Table of Contents; Application of Desirability Function Based on Neural Network for Optimizing the Process Parameters in Turning of PEEK CF30 Composites; Application of Artificial Neural Network for the Prediction of Surface Roughness in Drilling GFRP Composites; Prediction of Cutting Forces during Turning PA66 GF-30 Glass Fiber Reinforced Polyamide by Soft Computing Techniques; Optimisation of End Milling Parameters on Aluminium/SiC Composites Using Response Surface and Artificial Neural Network Methodologies 327 $aFuzzy Modeling and Analysis on the Turning Parameters for Machining Force and Specific Cutting Pressure in CFRP CompositesSoft Computing Applications in Drilling of GFRP Composites: A Review; Surface Roughness Minimization in Turning PEEK-CF30 Composites with TiN Cutting Tools Using Particle Swarm Optimization; Multi-Response Optimization in Drilling of Glass Epoxy Polymer Composites Using Simulated Annealing Approach; Keywords Index; Authors Index 330 $aEven though composites are manufactured to near net shaped, machining has to be performed during the final production stage to get the finished products. Soft computing is a collection of methodologies that aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. This special volume intends to draw a picture of the recent advances made in the soft computing assisted machinability studies for composite materials and includes the submission of high quality research articles. Suitable topics include the application to the m 410 0$aMaterials Science Forum 606 $aComposite materials$vCongresses 606 $aMachining$xComputer programs$vCongresses 608 $aElectronic books. 615 0$aComposite materials 615 0$aMachining$xComputer programs 676 $a671.35 701 $aGaitonde$b V. N$0869458 701 $aKarnik$b S. R$0869459 701 $aDavim$b J. Paulo$0739914 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910464916803321 996 $aSoft computing techniques for machining of composites$91941222 997 $aUNINA