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1、IntJAdvManufTechnol(2005)26:774-783DOI10.1007/s00170-003-2037-8ORIGINALARTICLES.B.Tor•G.A.Britton•W.Y.ZhangAknowledge-basedblackboardframeworkforstampingprocessplanninginprogressivediedesignReceived:3October2003/Accepted:21November2003/Publishedonline:1December2004©Springe
2、r-VerlagLondonLimited2004AbstractItiswidelyacceptedthatstampingprocessplanningforthestriplayoutisakeytaskinprogressivediedesign.However,stampingprocessplanningismoreofanartratherthanascience.Thisisinspiteofrecentadvancesinthefieldofartificialintelligence,whichhaveachieved
3、alotofsuccessinincorporatingbuilt-inintelligenceandapplyingdiverseknowledgetosolvingthiskindofproblem.Themaindifficultyisthatexistingknowledge-basedexpertsystemsforstampingprocessplanninglackaproperarchitecturefororganizingheterogeneousknowledgesources(KSs)inacooperatived
4、ecisionmakingenvironment.Thispaperpresentsaknowledge-basedblackboardframeworkforstampingprocessplanning.Theproposedapproachspeedsuptheprogressivediedesignprocessbyautomatingthestriplayoutdesign.Anexampleisincludedtoshowtheeffectivenessoftheproposedapproach.KeywordsBlack
5、boardframework•Graph-based•Knowledge-based•Object-oriented•Progressivediedesign•Stampingprocessplanning1IntroductionProgressivediesforproducingsheetmetalpartsinmassproductionhavebeenwidelyappliedinvariousindustriessuchS.B.Tor(S)Singapore-MITAlliance,SMA-NTUOffice,Schoolof
6、MechanicalProductionandEngineering,NanyangTechnologicalUniversity,50NanyangAvenue,Singapore,E-mail:msbtor@ntu.edu.sgTel.:+65-Fax:+65-G.A.BrittonSchoolofMechanicalandProductionEngineering,NanyangTechnologicalUniversity,50NanyangAvenue,SingaporeW.Y.ZhangArtificialIntelligenc
7、eInstitute,CollegeofComputerScience,ZhejiangUniversity,Hangzhou,Chinaasaerospace,electronics,machinetools,automobiles,andrefrigeration.Thesediescanperformpiercing,notching,cut-off,blanking,lancing,bending,shaving,drawing,embossing,coining,trimming,andothermiscellaneousfo
8、rmingoperationsatasinglesetup.Hence,aprogressivedieisgenerallyverycomplex.Stampingproces