MJ—50型数控车床电动刀架设计【说明书+CAD】
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上传时间：2018-04-24
上传人：柒哥
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mj
50
数控车床
电动
刀架
设计
说明书
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cad
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INTEGRATEDMANUFACTURINGCELLFORMATIONTECHNOLOGYORIENTINGMULTIPRODUCTTYPEANDVARIANTVOLUMEPRODUCTIONABSTRACTWHATISPURSUEDBYMULTIPRODUCTTYPEANDVARIANTVOLUMEMPTVVPRODUCTIONISRAPIDRESPONSEANDQUICKSWITCHING，SOTHATSTRUCTUREOFTRANSFERRINGLINEINMANUFACTURINGSYSTEMISNOLONGERUNALTERABLECELLFORMATIONCFALGORITHMISTHEKEYTECHNOLOGYOFCELLULARMANUFACTURINGSYSTEMCMSCURRENTLY，CFMETHODSAREMAINLYEXTENDEDONTHEIDEAOFGROUPTECHNOLOGYGTTHATCOVERSALOTONANALYSISOFRESOURCECAPABILITYMATCHINGANDITSALGORITHMVARIOUSCONSTRAINTSARECONSIDERED，BUTSELDOMUTILIZEDCOMPREHENSIVELYAIMEDTOTHEPROBLEMOFMANUFACTURINGCELLMCFORMATIONUNDERMPTVVPRODUCTIONMODE，INTEGRATEDFORMATIONTECHNOLOGIESFORTYPICALMCASGROUPTYPEOFCELLGC，FLOWTYPEOFCELLFCANDINHERITEDCELLICAREPRESENTEDBASEDONTECHNICALANALYSISOFCFORIENTEDTOPRACTICALPRODUCTIONCONSTRAINTSLIKEDELIVERYTIME，PRODUCTBATCH，EQUIPMENTABILITY,KEYMACHINE，KEYPARTANDMACHINESHARING，ETC，ANIMEGRATEDFORMATIONMODELISCONSTRUCTEDANDINTEMALIMTERRELATIONSOFTHESECONSTRAINTSAREANALYZEDSYNTHETICALLYULTERIORLY，FORMATIONGOALSOFTYPESOFMCSANDTHEIRFORMATIONPROCEDURESUNDERJOINTEFFECTOFFORMATIONCONSTRAINTSANDRULESARESPREADINCASESTUDY，THREEHIGHLYBALANCEDGCAREFORMEDFIRSTTHENFCFORMATIONAREIMPLEMENTEDBASEDONTHESAMEDATAWHICHINDICATEGOODBALANCINGEFFECTOFCELLLOADANDFLOWSTYLEPRODUCTIONFORKEYTASKS；WHENTASKISADJUSTED，ANEWSCHEMEISCONSTRUCTEDONTHERESULTOFFCCONFIGURATIONBYUSINGICFORMATIONMETHOD，ANDMOREOPTIMALPERFORMANCEOFFLOWSTYLEPRODUCTIONISMANIFESTEDTHEPROPOSEDCOMPARATIVESTUDYOFDIFFERENTTYPEOFCELLSSTRONGLYEXPLAINSTHEVALIDATIONOFINTEGRATEDMCFORMATIONINSUPPORTOFRAPIDMANUFACTURINGRESOURCETRANSFORMATIONUNDERMPTVVPRODUCTIONMODEKEYWORDSMULTIPRODUCTTYPEANDVARIANTVOLUMEPRODUCTION，CELLFORMATION，FLOWSTYLEMANUFACTURINGCELL，INHERITINGMANUFACTURINGCELL1INTRODUCTIONNOWADAYS,MULTIPLETYPEANDVARIABLEPRODUCTIONMODEHASBEENANINEVITABLECHOICEFORMOSTENTERPRISES,WHICHISANATURALRESULTINTHECOURSEOFADAPTINGORBEINGADAPTEDTOTHEEVERCHANGINGNEEDSOFOURSOCIETYASAMODEPOSITIONEDBETWEENFEWTYPEANDMASSPRODUCTIONOFFLOWINGDEDICATEDPRODUCTIONLINEANDMULTIPLETYPEANDSMALLORMEDIUMPRODUCTIONOFDISCRETEFLEXIBLEPRODUCTIONLINE,MULTIPLETYPEANDVARIABLEPRODUCTIONHASBOTHADVANTAGESOFEFFICIENCYANDFLEXIBILITYTARGETINGVARIABILITYANDRAPIDRESPONSEOFSYSTEMCELLULARMANUFACTURINGISAFORMOFPRODUCTIONORGANIZATIONWHICHCANACCOMMODATETOSUCHTYPEOFPRODUCTIONMODE，ANDWELLSUPPORTRAPIDRESPONSEOFMANUFACTURINGSYSTEMTHECOREOFCELLULARMANUFACTURINGISTHEREORGANIZATIONANDREUSEOFMANUFACTURINGRESOURCES；MANUFACTURINGCELLCHARACTERIZEDWITHSELFGOVERNMENT，COLLABORATIONANDFLEXIBILITYISTHECORECOMPONENTTHEREFORE，TECHNOLOGIESOFCELLFORMATIONANDRECONFIGURATIONAREALSOTHEKEYSINIMPLEMENTATIONOFCMSPRESENTLY,TECHNOLOGIESOFCELLFORMATIONCFAREMAINLYFOCUSINGONITSCONSTRUCTIONALGORITHMLIKELYASPECTSOFFORMATIONRULESANDCONSTRAINTSSUCHASMULTIROUTESANDEQUIPMENTTYPES，WORKTIMEASSIGNMENT，BATCHPRODUCTION，EQUIPMENTSHARING,BALANCINGOFUNITANDMACHINECAPACITYHAVEALLBEENINVOLVED，BUTTHEREISANABSENCEOFINTEGRATEDAPPLICATIONOFTHESEFACTORSRESEARCHERSLIKEYASUDA，ETAL1ANDGARBIE，ETAL2USEDSIMILARITYCOEFFICIENTFORCELLANALYSISTBSOLVETHEPROBLEMOFFORMATIONOFCLUSTERSANDCELLSUNDERCHANGINGMARKET，PILLAI，ETAL3，PROPOSEDAROBUSTDESIGNMETHODBASEDONDEMANDFORECASTANDTHERESULTCELLSTRUCTURETURNEDOUTTOBERELATIVELYSTABLEINTELLIGENTALGORITHMWASINTRODUCEDFORCFSOLVINGCONSIDERINGFACTORSLIKEPARTNUMBER,ROUTE，PROCESSINGTIME，EQUIPMENTCAPACITYEQUIPMENTSTATUSANDOBJECTIVESOFCELLBALANCINGANDMINIMIZATIONOFINTERCELLMOVINGASOKAN，ETAL4，PRABHAKARAN，ETAL5,ANDMANYOTHERSCHOLARSADOPTEDANTCOLONYALGORITHMVENKATARAMANAIAH,ETAL6,CONSTRUCTEDANUNITCONFIGURATIONWITHEXCEPTIONALELEMENTSUSINGHYBRIDHEURISTICALGORITHMMAHAPATRA，ETA7，CONCENTRATEDONCELLLOADBALANCINGANDMINIMIZATIONOFINTERCELLMOVINGANDEMPLOYEDGAFORSOLUTIONMANSOURI,ETAL8，STUDIEDCONSTRAINTSOFBOTTLENECKEQUIPMENTS，EXCEPTIONALPARTSANDEQUIPMENTSHARINGUSINGGAMETHODWON，ETAL9，ADOPTEDFUZZYARTNNALGORITHMTOSOLVEGROUPINGPROBLEMOFCOMPLICATEDPARTSANDEQUIPMENTSDEFERSHA，ETAL10，INTRODUCEDGAPARALLELARITHMETICINTOCF,INWHICHMANYPRACTICALRESTRICTIONLIKECELLCONFIGURATION，SUBSTITUTEPROCESS，EQUIPMENTSSHARINGANDCAPACITYANDLOADBALANCINGORTHEM，ANDPRODUCTIONFEESWERETAKENINTOACCOUNTFTS，ETAL11，CUTCFPROCEDUREINTOTWOSTEPSFIRSTLY，MULTIOBJECTIVEFUNCTIONWASCONSTRUCTEDFORSCALINGUNITS，ANDTHENASINGLEOBJECTIVEFUNCTIONWASEMPLOYEDTARGETINGOPTIMIZATIONOFMOVINGWITHINANDBETWEENUNITSBAI，ETAL12，PAIDTHEIRATTENTIONTOFCFORMATIONTHEORYANDTECHNIQUEFOREMERGENCYMOBILIZATIONBATCHVOLUMEPRODUCTIONASAWHOLE，ABOVERESEARCHESAREMAINLYFOCUSEDONSTATICCELLFORMATION，WHILESTUDIESONSUSTAINABLEDYNAMICFORMATIONARESELDOM，EVENNOTTOSAYINTEGRATEDFORMATIONOFMULTICELLTYPESMAINFOCUSOFTHISARTICLEWILLBEONTHEPROBLEMOFMANUFACTURINGCELLMCDIVERSIFICATIONUNDERMULTIPRODUCTTYPEANDVARIANTVOLUMEMPTVVPRODUCTIONMODEFROMTHEVIEWOFINTEGRATEDCONSTRUCTIONOFMULTITYPEMCS，INTEGRATEDFORMATIONMODELANDMETHODBASEDONUNIFIEDCONSTRAINTS，RULESANDALGORITHMSWILLBESTUDIED，ANDDECISIONMAKINGTOOLSWILLBEDEVELOPED2TECHNICALCHALLENGEUNDERMPTVVPRODUCTIONMODE，PRODUCTTYPEANDVOLUMEISONCONSTANTCHANGEATDIFFERENTPERIODOFTIMEORSTAGESOFDIFFERENTPERIODSTEMMINGFROMMARKETREQUIREMENTCHANGESOTHEDIRECTREASONBRINGINGCONFIGURATIONCHANGEOFMANUFACTURINGSYSTEMISDYNAMICREQUIREMENTINCELLULARMANUFACTURINGSYSTEMCMS，SUCHCHANGEWILLFINALLYIMPUTETOCELLSFORMED，ORBEUNDERTAKENANDREALIZEDBYCELLSTHEESSENTIALOFCELLFORMATIONANDRECONFIGURATIONISOPTIMIZINGASSIGNMENTOFMANUFACTURINGRESOURCEITISAKINDOFALLOCATIONORREALLOCATIONOFABILITYOFMANUFACTURINGRESOURCERESOURCEASSIGNMENTNEEDSTOTRADEOFFBETWEENEXTREMECASESOF“ONEMACHINEISONECELL”AND“THEWHOLELINEISALSOONECELL”MOREOVERTOREALIZERAPIDRESOURCETRANSFORMATION，OTHERTHANMATCHINGBETWEENTASKANDRESOURCE，RESOURCEASSIGNMENTANDOPTIMIZATIONUNDERCONDITIONSLIKEDELIVERYTIME，BATCH，KEYMACHINE，KEYPARTANDEQUIPMENTSHARINGHAVETOBECONSIDEREDALSOIMPORTANTREASONOFUNSUCCESSFULIMPLEMENTATIONAPPLYINGTRADITIONALCFTECHNOLOGIESISIN1ACKOFCOMPREHENSIVECONSIDERATIONTHEOUTCOMEOFCFISLOGICALCELLS，SOTHEREARENOCLEARBOUNDARIESAMONGCELLSANDMACHINESINCELLSHAVENOFIXEDATTRIBUTIONMACHINESMAYACTASASTANDALONE“DEVICEUNIT”FORSCATTEREDTASKS，ORTHEYCANSHARETHEIRCAPACITYWITHOTHERCELLSANDACCOMPLISHTASKSWITHOTHERMACHINESINTHISCASE，ITSPOSSIBLETHATDISCRETEUNITSWILLEMERGETHERESULTCONFIGURATIONISAPLURALSTRUCTURECOMPOSEDBYCOMPLETE”UNITSANDADISCRETEUNITTRADITIONALANALYSISEMPHASIZESINDEPENDENCEOFPARTFAMILYANDCELLSTOOMUCHTHATMAYRESULTINUNHARMONIOUSPRODUCTIONTHUS，BOTTLENECKOPERATIONSANDEQUIPMENTSWILLAPPEARANDREQUIREMENTOFMATINGPRODUCTIONFORASSEMBLYCANNOTBESATISFIEDMOREOVER,CELLLOADDISTRIBUTIONISUNEVENANDMACHINESCANNOTBESHAREDAMONGCELLSCELLTYPESUNDERMPTVVPRODUCTIONMODESHOULDBEFLEXIBLEANDVARIOUSINMULTIPRODUCTTYPEANDSMALLVOLUMEORTRIALPRODUCTION，CELLFORMOFGROUPTYPEOFCELLGCISREQUIRED，WHILEINMASSVOLUMEPRODUCTION，CONTINUOUSPRODUCTIONHASTOBEREALIZEDFURTHERMORE，DURINGDIFFERENTPERIOD，INHERITINGSUSTAINABLERECONFIGURATIONWILLBEABASICDEMANDTHEDIRECTREASONOFHARDADVANCINGOFTRADITIONALGROUPTECHNOLOGYGTBASEDTECHNOLOGIESISTHATFREQUENTLAYOUTADJUSTMENTDUETORAPIDCHANGEOFREQUIREMENTISDIFFICULTTOREALIZEASARIGIDFORMATIONTECHNOLOGY，TOOMANYEFFORTSHAVETOBECOSTONPHYSICALLAYOUTADJUSTMENTCONSTRUCTIONMETHODBASEDONSIMILARITYOFEQUIPMENTSANDPARTSONLYEMPHASIZESADAPTATIONOFEXISTEDRESOURCESTOREQUIREMENTS，BUTNOTFLUENCYOFPRODUCTIONFLOWINTHEVIEWOFROUTESOFTASKSWHICHISALSOANIMPORTANTPROBLEMCONSENTEDBYORGANIZERSFLOWLINETYPERUNNINGISALSOANIMPORTANTOBJECTIVEINMCFORMATIONAGAINSTPERIODICALCHANGINGREQUIREMENTS，TOLESSENCOSTANDINFLUENCEOFMACHINEADJUSTING，CFPROCEDUREHASTOINHERITORIGINALPRODUCTIONLINEEXISTEDCFANALYSISMAINLYFOCUSESONGC，RESEARCHESONTYPEOFCELLFCANDINHERITEDCELLICARECOMPARATIVELYSELDOM，ANDSAMESTATUSPRESENTSINFORMATIONCONSTRAINTANALYSISANDUNIFIEDCONSTRUCTIONOFDIFFERENTTYPESOFMCSGC，FCANDICREPRESENTDIFFERENTOBJECTIVESANDTARGETSOFCFANDARETYPICALCELLFORMSINMANUFACTURINGSYSTEMTECHNICALANALYSISONINTEGRATEFORMATIONFORMULTITYPECELLWILLBECARRIEDOUTORIENTINGTHEM3INTEGRATEDMODELOFMCFORMATIONANDITSCONSTRAINTSANALYSISMCISFORMEDUNDERMULTIPLERELATEDCONSTRAINTSDURINGMCFORMATION，EXTERNALFACTORSLIKEPRODUCTIONREQUIREMENT，DELIVERYTIMEANDINTERNALONESASBATCH，PROCESSINGTIME，MACHINEABILITY,KEYEQUIPMENTANDSELECTABLEMACHINEHAVETOBECONSIDEREDTOGETHERALSO，PRODUCTIONGOALSINCYCLETIME，COST，EQUIPMENTUTILITYHAVETOBESATISFIED，THUSTHECOURSEOFMCFORMATIONISAGAINONEMULTIOBJECTIVEOPTIMIZATIONPROCEDURE，INWHICHNOOPTIMUMBUTMANYSUBOPTIMUMSOLUTIONEXISTSCOMMONLYHERE，CONSTRAINTSANDGOALSAREDECOMPOSEDANDTHEIRINTERRELATIONSTODIFFERENTTYPEOFMCSAREILLUSTRATEDINFIG1RESOURCEROUTEANDTASKARETHREEMAINDATANEEDEDINCF,YETINHERITEDCFHASTOUSEFORMERCONFIGURATIONSCHEMASASSOURCEDATAFORCOMPARINGCFRULESINCLUDEROUTESELECTION。MACHINETYPESELECTIONANDMACHINETASKASSIGNMENTRULESMAINCFCONSTRAINTSHEREAREMACHINEABILITYBATCH，KEYORMASSPANSANDKEYEQUIPMENTOUTPUTPOLICIESARECOMPOSEDOFPARTITIONRULESFORCELLANDEQUIPMENTANDPANFAMILYINCASEOFSHORTAGEOFMACHINEABILITYINRESOURCEASSIGNMENT，THREESCENARIOSOFOVERTIME，OUTSOURCEANDEQUIPMENTPROCUREMENTCANBESELECTEDINTHEPROCESSOFDIFFERENTTYPESOREVENSTAGESOFMCFORMATION，QUANTITATIVEINDEXESINCLUDINGSIMILARITYCOEFFICIENT，INTERCELLOPERATIONNUMBER,CELLLOADANDTAKTTIMEBALANCINGHAVETOBEADOPTEDALLTHESERULES，CONSTRAINTSANDGOALSCONSTRUCTFORMATIONCONSTRAINTSOFMULTITYPECELLMOSTOFTHEMARESHAMBLE，BUTSOMEAREFORSPECIALPURPOSEFOREXAMPLE，FORFCFORMATION，THERERERULESTHATEMPHASIZEOPERATIONBALANCINGOFROUTEANDPRODUCTIONTAKTTIMEOFEQUIPMENT，ANDGOALSTHATSTRESSTAKTBALANCINGINCELLFORMATIONOFTHREETYPEOFCELLISNOTINDEPENDENTBUTINTERRELATED，MAINSTAGESEQUIPMENTCLUSTERRESOURCESELECTIONANDASSIGNMENT，CELLOPTIMIZATIONANDADJUSTINGANDCELLOUTPUTCANALLBEREUSEDCLUSTERANDOUTPUTPROCESSAREENTIRELYUNIVERSAL，WHILEASSIGNMENTANDOPTIMIZATIONISDIFFERENTFORDIFFERENTTYPEOFCELLTHATRULES，CONSTRAINTSANDGOALSCANBESELECTEDINDEMANDACCORDINGTOFIG1，GCANDFCARETWOBASICCELLBC，ANDTHATFCISEXTENDEDONGCANDICCANBESEEMEDASEXTENSIONOFBCASAWHOLEGCCONSTRUCTSTHECONSTRAINTSOFFCLIKETHATBCTOIC4OBJECTIVEANDPROCEDUREOFINTEGRATEDFORMATIONFORCONVENIENCE，THEFLOWINGSYMBOLSARETAKENTOEXPRESSCONSTRAINTSINFIG11BASEDATASETS0D1，D2，D3，D4DLDENOTESPRODUCTIONTASKS；D2DENOTESPARTROUTES；D3DENOTESEQUIPMENTRESOURCES；D4DENOTESCONFIGURATIONSCHEMES2FORMATIONRULESSETS1ELE11，E12，E13，E14，E15，E2E2L，E22，E3E3L，E32ELDENOTESROUTESSELECTIONRULES，INCLUDING；E1LDENOTESMEFIRSTROUTEE12DENOTESLEASTMACHINETYPE；E13DENOTESSHORTESTMACHININGTIME；E14DENOTESLEASTINTERCELLOPERATIONTIME；E15DENOTESHIGHESTBALANCINGINDEXOFOPERATIONSE2DENOTESMACHINETYPESELECTIONRULES；E2LDENOTESCURRENTMACHINETYPE；E22DENOTESSHORTESTMACHININGTIME；E23DENOTESMACHININGTIMELIMITEDBYTAKTTIMEE3DENOTESMACHINETASKASSIGNMENTRULES；E31DENOTESTASKDISPERSEDANDAVERAGEUSEOFMACHINES；E32DENOTESTASKCONCENTRATEDANDFOCUSUSEOFMACHINES3FORMATIONCONSTRAINTSSETS2F1,F2,F3,F4,F5F1DENOTESMACHINEABILITY；F2DENOTESBATCH；F3DENOTESKEYPARTS；F4DENOTESMASSPARTS；F5DENOTESKEYEQUIPMENT4OUTPUTRULESSETS3G1，G2，G3G1DENOTESCELLPARTITIONRULES；G2DENOTESPARTPARTITIONRULES；G3DENOTESSHARABLEEQUIPMENTPARTITIONRULES5FORMATIONGOALSSETS4H1H11，H12，H2，H3H3L，H32，H4HLDENOTESSIMILARITYCOEFFICIENT，H11DENOTESSIMILARITYCOEFFICIENTHL2DENOTESUNSIMILARITYCOEFFICIENTH2DENOTESLEASTINTERCELLOPERATIONNUMBER；H3DENOTESCELLLOADBALANCING；H31DENOTESCELLLOADRATIO；H32DENOTESRATIOOFBALANCEDCELLLOADH4DENOTESTAKTTIMEBALANCINGINCELL6TREATMENTSETFORSHORTAGEOFEQUIPMENTS5I1，I2，I3ILDENOTESOVERTIME；I2DENOTEOUTSOURCE；I3DENOTEEQUIPMENTPROCUREMENT7FOURSTEPSOFCFAREDESCRIBEDASFOLLOWSSTEP1DENOTESEQUIPMENTCLUSTER；STEP2DENOTESRESOURCEASSIGNMENT；STEP3DENOTESCELLOPTIMIZATIONANDADJUSTING；STEP4DENOTESSCHEMAOUTPUTINTHISPAPER,FOURSTEPSWITHDIFFERENTCONSTRAINTSANDOBJECTIVESARE
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