LEADER 05671nam 2200757Ia 450 001 9910814549203321 005 20240404143440.0 010 $a1-60119-284-3 010 $a1-281-38319-8 010 $a9786611383190 010 $a981-277-415-7 035 $a(CKB)1000000000398210 035 $a(EBL)1679577 035 $a(OCoLC)879074248 035 $a(SSID)ssj0000072362 035 $a(PQKBManifestationID)11118904 035 $a(PQKBTitleCode)TC0000072362 035 $a(PQKBWorkID)10094490 035 $a(PQKB)10725313 035 $a(WSP)00006043 035 $a(Au-PeEL)EBL1679577 035 $a(CaPaEBR)ebr10201359 035 $a(CaONFJC)MIL138319 035 $a(MiAaPQ)EBC1679577 035 $a(EXLCZ)991000000000398210 100 $a20061016d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntegrated and collaborative product development environment $etechnologies and implementations /$fW.D. Li, S.K. Ong, A.Y.C. Nee 205 $a1st ed. 210 $aSingapore ;$aHackensack, NJ $cWorld Scientific$dc2006 215 $a1 online resource (348 p.) 225 1 $aSeries on manufacturing systems and technology ;$vv. 2 300 $aDescription based upon print version of record. 311 $a981-256-680-5 320 $aIncludes bibliographical references (p. 313-325) and index. 327 $aContents ; Preface ; Abbreviation ; 1. Introduction ; 1.1 Concurrent and Collaborative Engineering ; 1.2 Enabling Technologies ; 1.2.1 Artificial intelligence ; 1.2.2 Internet technologies ; 1.3 Summary ; 2. Manufacturing Feature Recognition Technology - State-of-the-Art 327 $a2.1 Evolving Representations for Design Models 2.2 Boundary Feature Recognition Scheme ; 2.2.1 Rule-based approach ; 2.2.2 Graph-based approach ; 2.2.3 Hint-based approach ; 2.2.4 Artificial neural networks-based approach ; 2.3 Volumetric Feature Recognition Scheme 327 $a2.3.1 Convex hull approach 2.3.2 Volume growing/decomposition approach ; 2.4 Integration of Design-by-Feature and Feature Recognition ; 2.5 Summary ; 3. A Hybrid Method for Interacting Manufacturing Feature Recognition ; 3.1 Introduction ; 3.2 Enhanced Attributed Adjacency Graph 327 $a3.2.1 Pre-process for generating EAAG 3.2.2 Establishment of EAAG ; 3.3 Generation of Potential Features ; 3.3.1 Identifications of F-Loops and their relationships ; 3.3.2 Identifications of FLGs ; 3.4 Neural Networks Classifier ; 3.5 Computation Results 327 $a3.5.1 Results for feature recognition 3.5.2 Result comparisons ; 3.6 Summary ; 4. Integration of Design-by-Feature and Manufacturing Feature Recognition ; 4.1 Introduction ; 4.2 Features and Their Relationships ; 4.2.1 Feature models ; 4.2.2 Interacting relationships between features 327 $a4.3 Manufacturing Features Recognition Processor 330 $a With the rapid advances in computing and Internet technologies, an integrated and collaborative environment, which is based on the complementary functions of concurrent engineering and Internet-based collaborative engineering, is imperative for companies to facilitate and expedite the product realization processes. Topics such as concurrent and collaborative engineering, feature-based design and manufacturing, evolutionary computational techniques such as Tabu Search, Simulated Annealing, Genetic Algorithms features, intelligent and computer-aided process planning are important strategies and 410 0$aSeries on manufacturing systems and technology ;$vv. 2. 606 $aComputer integrated manufacturing systems 606 $aIndustrial design$xData processing 606 $aNew products$xTechnological innovations 606 $aProduction planning$xData processing 615 0$aComputer integrated manufacturing systems. 615 0$aIndustrial design$xData processing. 615 0$aNew products$xTechnological innovations. 615 0$aProduction planning$xData processing. 676 $a670.285 700 $aLi$b W. D$01643158 701 $aNee$b A. Y. C$g(Andrew Yeh Chris),$f1948-$01617217 701 $aOng$b S. K.$f1969-$01643159 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910814549203321 996 $aIntegrated and collaborative product development environment$93988225 997 $aUNINA