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外文翻译--智能腔布置设计系统的注塑模具--原文.pdf

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外文翻译--智能腔布置设计系统的注塑模具--原文.pdf

InternationalJournalofCAD/CAMVol.2,No.1,pp.69752002AnIntelligentCavityLayoutDesignSystemforInjectionMouldsWeigangHuandSyedMasoodIndustrialResearchInstituteSwinburneIRIS,SwinburneUniversityofTechnology,Hawthorn,Melbourne,Australia3122Abstract−ThispaperpresentsthedevelopmentofanIntelligentCavityLayoutDesignSystemICLDSformultiplecavityinjectionmoulds.Thesystemisintendedtoassistmoulddesignersincavitylayoutdesignatconceptdesignstage.Thecomplexitiesandprinciplesofcavitylayoutdesignaswellasvariousdependenciesininjectionmoulddesignareintroduced.Theknowledgeincavitylayoutdesignissummarizedandclassified.Thefunctionality,theoverallstructureandgeneralprocessofICLDSareexplained.Thepaperalsodiscussessuchissuesasknowledgerepresentationandcasebasedreasoningusedinthedevelopmentofthesystem.Thefunctionalityofthesystemisillustratedwithanexampleofcavitylayoutdesignproblem.KeywordsIntelligentdesign,cavitylayoutdesign,injectionmoulddesign,casebasedreasoning,designsupportsystem1.IntroductionInmanufacturing,theinjectionmouldingisoneofthemostwidelyusedproductionprocessesforproducingplasticpartswithhighproductionrateandlittleornofinishingrequiredonplasticproducts.Theprocessconsistsofinjectingmoltenplasticmaterialfromahotchamberintoaclosedmould,allowingtheplastictocoolandsolidifyandejectingthefinishedproductfromthemould.Foreachnewplasticproduct,theinjectionmouldingmachinerequiresanewinjectionmould.Designandmanufactureofinjectionmouldisatimeconsumingandexpensiveprocessandtraditionallyrequireshighlyskilledtoolandmouldmakers.Aninjectionmouldconsistsofseveralcomponents,whichincludemouldbase,cavities,guidepins,asprue,runners,gates,coolingwaterchannels,supportplates,slidesandejectormechanism1.Designofmouldisalsoaffectedbyseveralotherfactorssuchaspartgeometry,mouldmaterial,partinglineandnumberofcavitiespermould.Withtheadvancesincomputertechnologyandartificialintelligence,effortshavebeendirectedtoreducethecostandleadtimeinthedesignandmanufactureofaninjectionmould.Injectionmoulddesignhasbeenthemainareaofresearchsinceitisacomplexprocessinvolvingseveralsubdesignsrelatedtovariouscomponentsofthemould,eachrequiringexpertknowledgeandexperience.Moulddesignalsoaffectstheproductivity,mouldmaintenancecost,manufacturabilityofmould,andthequalityofthemouldedpart.Mostoftheworkexpertsystems,knowledgebasedsystemsandartificialintelligencetoeliminateorsupplementthevastamountofhumanexpertiserequiredintraditionaldesignprocess.KruthandWillems2developedanintelligentsupportsystemforthedesignofinjectionmouldsintegratingcommercialCAD/CAM,arelationaldatabaseandanexpertsystem.Leeet.al.3proposedasystematicmethodologyandknowledgebaseforinjectionmoulddesigninaconcurrentengineeringenvironment.RaviwongseandAllada4developedaneuralnetworkbaseddesignsupporttooltocomputethemouldcomplexityindextohelpmoulddesignerstoassesstheirproposedmoulddesignonmouldmanufacturability.KwongandSmith5developedacomputationalsystemfortheprocessdesignofinjectionmouldingbasedontheblackboardbasedexpertsystemandthecasebasedreasoningapproach,whichincludesmoulddesign,productionscheduling,costestimationanddeterminationofinjectionmouldingparameters.Brittonet.al.6discussedtheinjectionmoulddesignfromafunctionalperspectiveusingfunctionaldesignknowledgeandanumberofknowledgelibraries.Moket.al.7developedaninteractiveknowledgebasedCADsystemforinjectionmoulddesignincorporatingcomputational,knowledgeandgraphicmodules.Severalstudieshavealsobeenmadeonimprovingthedesignofspecificcomponentsofaninjectionmould.Onget.al.8developedaknowledgebasedandobjectorientedapproachforthedesignofthefeedsystemforinjectionmoulds,whichcanefficientlydesignthetype,inmoulddesignhasbeendirectedtotheapplicationoflocationandsizeofagatingsysteminthemould.Iraniet.al.9alsodevelopedasoftwaresystemforautomaticdesignofgatingandrunnersystemsforinjectionmouldsandprovideevaluationofgatingdesignbasedonspecifiedperformanceparameters.Neeet.al.10proposedamethodologyfordeterminationofoptimalCorrespondingauthorTel61392148260Fax61392145050EmailSmasoodswin.edu.auG01G02InternationalJournalofCAD/CAMVol.2,No.1,pp.6975partingdirectionsininjectionmoulddesignbasedonautomaticrecognitionandextractionofundercutfeatures.ChenandChou11developedalgorithmsforselectingapartinglineinmoulddesignbycomputingtheundercutvolumesandminimisingthenumberofundercuts.ParkandKwon12workedonthedesignofcoolingsystemsininjectionmouldsandproposedanoptimaldesignbasedonthermalanalysisanddesignsensitivityanalysisofthecoolingstageoftheinjectionmouldingprocess.Lin13workedontheuseofgatesizeandgatepositionasthemajorparametersforsimulatedinjectionmouldperformanceprediction.Oneareaininjectionmoulddesign,whichhasreceivedlittleattention,isthedesignofcavitylayoutinamultiplecavityinjectionmould.Cavitylayoutdesignaffectsthewholeprocessofinjectionmouldingdirectly,sinceitisoneofthemostimportantphasesinmoulddesignprocess.Considerationofcavitylayoutdesignininjectionmouldatconceptdesignstagewillimprovethequalityofinjectionmouldedproductsbecauseitisassociatedwiththedeterminationofmanykeyfactorsaffectingthedesignandqualityofmould.Suchfactorsincludenumberofcavitiespartinglinetypeofmouldtypeandpositionofgaterunnersystemcoolingsystemandejectionsystem.Someofthesefactorsaredifficulttobuildastruemathematicalmodelsforanalysisanddesign.Thispaperpresentsthedevelopmentofadesignsupportsystem,calledIntelligentCavityLayoutDesignSystemICLDS,formultiplecavityinjectionmouldsbasedonknowledgebasedandobjectorientedapproaches.Itusesthecasebasedandruledbasedreasoninginarrivingatthelayoutsolution14.ItisbasedonthecommercialsoftwaresystemnamedRETE,whichisanintegrateddevelopmentplatformforcustomerstodeveloptheirownknowledgebasedsystems15.Theobjectiveistomakefulluseofavailabletechniquesinartificialintelligenceinassistingmoulddesignersatconceptdesignstage.2.CavityLayoutDesigninInjectionMouldsCurrentpracticeforinjectionmoulddesign,especiallycavitylayoutdesign,dependslargelyondesignersexperiencesandknowledge.Itwouldthereforebedesirabletouseknowledgeengineering,artificialintelligenceandintelligentdesigntechniquesingeneratinganacceptablecavitylayoutdesignininjectionmouldaccuratelyandefficiently.Inmoulddesign,mostofpatternsofcavitylayoutandrulesandprinciplesofcavitylayoutdesigncanalsobeeasilyrepresentedintheformofknowledge,whichcanbeusedinmostofknowledgebaseddesignsystems.Forexample,forthelayoutpatternsshowninFig.1,thecriteriatoselectthesuitablelayoutpatternfordesignaremainlydependentonworkingenvironments,conditionsandrequirementsofcustomerandaremainlybasedondesignersskillandexperience.Tomakeachoiceofcontradictoryfactorswillrelyobviouslyondesignersknowledgeandexperiences.Itisrathersuitableforintelligentdesigntechniquestobeusedinsystemsdesignedforsuchsituations,especiallyforroutineorinnovationdesign.Designofinjectionmouldmainlyinvolvesconsiderationofdesignofthefollowingelementsorsubsystems1mouldtype2numberofcavitiesFig.1.Somepatternsofcavitylayoutwithmultiplecavities.WeigangHuandSyedMasoodAnIntelligentCavityLayoutDesignSystemforInjectionMouldsG01G033cavitylayout4runnersystem5ejectorsystem6coolingsystem7venting8mountingmechanismMostoftheelementsareinterdependentsuchthatitisvirtuallyimpossibletoproduceameaningfulflowchartcoveringthewholemoulddesignprocess.SomeofthedesignactivitiesformacomplicateddesignnetworkasshowninFig.2.Obviously,ininjectionmoulddesign,itisdifficultfordesignertomonitoralldesignparameters.Cavitydesignandlayoutdirectlyaffectsmostofotheractivities.TheapplicationofadvancedknowledgebasedtechniquestoassistdesignerincavitylayoutdesignatconceptdesignstagewillgreatlyassistinthedevelopmentofaItisnotedfromFig.1thatanumberofdifferentlayoutpatternsarepossiblewithmultiplecavitiesinsideamould.Higherthenumberofcavitiesofmould,highertheproductivityoftheinjectionmould.Butthismayleadtodifficultieswithissuessuchasbalancingtherunnersorproductswiththecomplicatedcavityshapes,whichinturnmayleadtoproblemsofmouldmanufacturability.Itisalsopossiblethatthenumberofcavitiesandthepatternofcavitylayoutwillinfluencethedeterminationofpartingline,typeofgate,positionofgate,runnersystemandcoolingsystem.Mostofthemainactivitiesofmoulddesignarethereforelinkedtocavitylayoutdesign.Fig.3showstherelationsbetweencavitylayoutdesignandotherdesignactivities.Thecavitylayoutdesignproblemthereforedependsuponanumberoffunctionalitiesoftheoverallmoulddesignsystem,whichincludesFig.2.Designnetworkofinjectionmould.comprehensivecomputeraidedinjectionmoulddesignandmanufacturingsystem.1definitionofdesignspecificationsincludinganalysisanddescriptionofcharacteristicsofG01G04InternationalJournalofCAD/CAMVol.2,No.1,pp.6975designproblem2determinationofmouldtype3determinationofnumberofcavities4determinationoforientationofproduct5determinationofrunnertypeandrunnerconfiguration6determinationoftypeandpositionofgate7cavitylayoutconceptualdesign8evaluationofejectionability,manufacturingabilityandeconomicperformances9determinationofcoolingsystem10graphicresultsdisplayandoutput3.StructureofICLDSandtheDesignProcessThestructureoftheIntelligentCavityLayoutDesignSystemICLDSisbasedoncasebasedreasoningandruledbasedreasoningdesignedaroundtheRETEFig.3.Relationshipdiagrambetweencavitylayoutdesignandothermodulesofmould.Fig.4.OverallstructureofICLDS.Fig.5.ThegeneraldesignprocessofICLDS.

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