外文翻译--一种关于粗糙集改进注射模具浇道的报告.doc外文翻译--一种关于粗糙集改进注射模具浇道的报告.doc

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附录附录1ANIMPROVEDROUGHSETAPPROACHTODESIGNOFGATINGSCHEMEFORINJECTIONMOULDINGFSHI,1ZLLOU,1JGLU2ANDYQZHANG11DEPARTMENTOFPLASTICITYENGINEERING,SHANGHAIJIAOTONGUNIVERSITY,PRCHINA;AND2CENTEROFCAD,NANJINGUNIVERSITYOFCHEMICALTECHNOLOGY,PRCHINATHEGATEISONEOFTHEMOSTIMPORTANTFUNCTIONALSTRUCTURESINANINJECTIONMOULD,ASITHASADIRECTINFLUENCEONTHEQUALITYOFTHEINJECTIONPRODUCTSTHEDESIGNOFAGATINGSCHEMEINCLUDESTHESELECTIONOFTHETYPESOFGATEANDCALCULATIONOFTHESIZESANDDETERMINATIONOFTHELOCATION,WHICHDEPENDSHEAVILYONPRIOREXPERIENCEANDKNOWLEDGEANDINVOLVESATRIALANDERRORPROCESSDUETOTHEVAGUENESSANDUNCERTAINTYINTHEDESIGNOFAGATINGSCHEME,CLASSICALROUGHSETTHEORYISNOTEFFECTIVEINTHISPAPER,AFUZZYROUGHSETMODELISPROPOSED,WHICHISNOTBASEDONEQUIVALENTRELATIONSHIPSBUTONFUZZYSIMILARITYRELATIONSHIPSANINDUCTIVELEARNINGALGORITHMBASEDONTHEFUZZYROUGHSETMODELFRILAISTHENPRESENTEDCOMPAREDTODECISIONTREEALGORITHMS,THEPROPOSEDALGORITHMCANGENERATEFEWERCLASSIFICATIONRULES;MOREOVER,THEGENERATEDRULESAREMORECONCISEFINALLY,ANINTELLIGENTPROTOTYPESYSTEMFORTHEDESIGNOFAGATINGSCHEMEBASEDONANINDUCEDFUZZYKNOWLEDGEBASEISDEVELOPEDANILLUSTRATIVEEXAMPLEPROVESTHEEFFECTIVENESSOFTHEPROPOSEDMETHODKEYWORDSFUZZYROUGHSET;GATINGSCHEME;INJECTIONMOLD;INTELLIGENTDESIGN;KNOWLEDGEACQUISITION1INTRODUCTIONTHEMANUFACTURINGINDUSTRYFORPLASTICPRODUCTSHASBEENGROWINGRAPIDLYINRECENTYEARS,ANDPLASTICSAREUSEDWIDELYTOSUBSTITUTEFORMETALSTHEINJECTIONMOULDINGPROCESSISTHEMOSTPOPULARMOULDINGPROCESSFORMAKINGTHERMOPLASTICPARTSTHEFEEDINGSYSTEM,WHICHISONEOFTHEIMPORTANTFUNCTIONALSTRUCTURES,COMPRISESASPRUE,APRIMARYRUNNER,ASECONDARYRUNNERANDAGATETHEMOLTENPLASTICFLOWSFROMTHEMACHINENOZZLETHROUGHTHESPRUEANDRUNNERSYSTEMANDINTOTHECAVITIESTHROUGHTHEGATEACTINGASTHECONNECTIONBETWEENTHERUNNERANDTHECAVITY,THEGATECANINFLUENCEDIRECTLYTHEMOULDVENTING,THEOCCURRENCEOFJETTING,THELOCATIONOFWELDLINES,ANDWARPAGE,SHRINKAGEANDRESIDUALSTRESSESHENCE,THEGATEDESIGNISIMPORTANTFORASSURINGTHEQUALITYOFTHEMOULDTHEDESIGNOFAGATEINCLUDESTHESELECTIONOFTHETYPEOFGATE,CALCULATIONOFTHESIZEANDDETERMINATIONOFTHELOCATIONANDTHEDESIGNOFAGATEISBASEDONTHEEXPERIENCEANDKNOWLEDGEOFTHEDESIGNERSTHEDETERMINATIONSOFTHELOCATIONANDSIZESAREMADEBASEDONATRIALANDERRORPROCESSINRECENTYEARS,AFEATUREMODELLINGENVIRONMENTANDINTELLIGENTTECHNOLOGYHAVEBEENINTRODUCEDFORGATEDESIGNLEEANDKIMINVESTIGATEDGATELOCATIONSUSINGTHEEVALUATIONCRITERIAOFWARPAGE,WELDLINESANDIZODIMPACTSTRENGTHALOCALSEARCHWASUSEDTODETERMINETHENODESOFTHELOCATIONOFTHEGATE1SAXENAANDIRANIPROPOSEDAFRAMEFORANONMANIFOLDTOPOLOGYBASEDENVIRONMENTAPROTOTYPESYSTEMFORGATELOCATIONDESIGNWASDEVELOPEDTHECRITERIAFOREVALUATIONWEREBASEDONGEOMETRYRELATEDPARAMETERS2LINSELECTEDTHEINJECTIONLOCATIONANDSIZEOFTHEGATEASTHEMAJORCONTROLPARAMETERS,ANDCHOSETHEPRODUCTPERFORMANCEDEFORMATIONASTHEOPTIMISINGPARAMETERCOMBININGTHETECHNOLOGIESOFABDUCTIVENETWORKSANDSIMULATIONANNEALINGOPTIMISATIONALGORITHMS,THEOPTIMALMODELFORTHELOCATIONANDSIZEOFTHEGATEWASCONSTRUCTED3,4ZHOUETALESTABLISHEDARULESETFORDETERMININGTHELOCATIONOFTHEGATEBASEDONANALYSISOFTHEPLASTICPARTSTHELOCATIONOFTHEGATEWASDETERMINEDTHROUGHREASONINGWITHRULES5PANDELIDISETALDEVELOPEDASYSTEMWHICHCANOPTIMISEGATELOCATIONBASEDONTHEINITIALGATINGPLANSTHESYSTEMUSEDMOLDFLOWSOFTWAREFORFLOWANALYSIS,ANDCONTROLLEDTHETEMPERATUREDIFFERENTIALANDTHENUMBEROFELEMENTSOVERPACKEDWITHANOPTIMISATIONSTRATEGY6DENGUSEDID3ANDITSMODIFIEDALGORITHMSTOGENERATETHERULESETFORTHESELECTIONOFTHEGATETYPES7HOWEVER,THEREAREMANYFUZZYORVAGUEATTRIBUTESINTHESELECTIONOFTHETYPES,SUCHASTHEATTRIBUTEOFLOSSOFPRESSURETHATHASTWOFUZZYLINGUISTICVARIABLESIECANBEHIGHANDMUSTBELOWTHEID3ALGORITHMSCANNOTDEALWITHFUZZYOR“NOISE”INFORMATIONEFFICIENTLYITISALSODIFFICULTTOCONTROLTHESIZEOFTHEDECISIONTREEEXTRACTEDBYTHEALGORITHMSANDSOMETIMESVERYLARGETREESAREGENERATED,MAKINGCOMPREHENSIBILITYDIFFICULT7,8ROUGHSETTHEORYPROVIDESANEWMATHEMATICALAPPROACHTOVAGUEANDUNCERTAINDATAANALYSIS9,10THISPAPERINTRODUCESTHETHEORYOFROUGHSETSFORTHEDESIGNOFAGATINGSCHEMETHESELECTIONOFTHETYPEOFGATEISBASEDONTHETHEORYOFROUGHSETSCONSIDERINGTHELIMITATIONSOFROUGHSETS,THISPAPERPROPOSESANIMPROVEDAPPROACHBASEDONROUGHSETTHEORYFORTHEDESIGNOFTHEGATINGSCHEMETHEIMPROVEDROUGHSETAPPROACHTOTHESCHEMEDESIGNWILLBEGIVENFIRSTAFUZZYROUGHSETBASEDINDUCTIVELEARNINGALGORITHMFRILA,WHICHISAPPLIEDINTHEIMPROVEDAPPROACH,WILLTHENBEPRESENTEDANEXAMPLEOFTHEDESIGNOFAGATEWILLFINALLYBEGIVENTABLE1CLASSIfiCATIONCRITERIACONDITIONATTRIBUTESFUZZYLINGUISTICVARIABLESSTYLEOFPLASTICPARTSPDEEP,MIDDLE,SHALLOWSHELL,DEEP,MIDDLE,SHALLOWTUBE,DEEP,MIDDLE,SHALLOWRINGNUMBEROFCAVITIESNSINGLECAVITY,MULTICAVITYLOSSOFPRESSURELCANBEHIGH,MUSTBELOWCONDITIONOFSEPARATINGGATEFROMPARTSQMUSTBEEASY,NOTREQUESTSPECIALLYMACHININGPERFORMANCEMMUSTBEEASY,NOTREQUESTSPECIALLY2AROUGHSETAPPROACHTOGATINGSCHEMEDESIGN21DESIGNOFTHEGATINGSCHEMETHEMODELOFTHEGATINGSCHEMEDESIGNCANBEDESCRIBEDASFOLLOWSADECISIONTABLEWITH4TUPLESCANBEREPRESENTEDAST(U,C,D,T)WHEREUISTHEUNIVERSEC{C1,C2,,CK}ISTHESETOFCONDITIONATTRIBUTES,EACHOFWHICHMEASURESSOMEIMPORTANTFEATUREOFANOBJECTINTHEUNIVERSEUTCK{TK1,T2K,,TKSK}ISTHESETOFDISCRETELINGUISTICTERMSINOTHERWORDS,TCKISTHEVALUESETOFTHECONDITIONATTRIBUTESD{D1,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