外文文献.pdf

耳机塑料模具设计【18张CAD图纸和说明书】

收藏

资源目录
跳过导航链接。
耳机塑料模具设计【18张CAD图纸和说明书】.rar
毕业设计说明书.txt---(点击预览)
开题.doc---(点击预览)
外文文献翻译.docx---(点击预览)
外文文献.pdf---(点击预览)
中期.docx---(点击预览)
耳机三维图
耳机
angle_6.prt.2
asm_a_asm_8.asm.1
asm_back_asm_6.asm.1
asm_b_asm_7.asm.1
asm_ej_asm_6.asm.1
asm_front_asm_7.asm.1
asm_top_asm_6.asm.1
cavity_23.prt.1
core_29.prt.3
dinggan.prt.5
guide_bush_a_7.prt.1
guide_bush_ejp_6.prt.1
guide_ep_6.prt.1
guide_pin_7.prt.1
guide_pin_ejp_6.prt.1
guide_rail_5.prt.1
heel_5.prt.1
location-ring_4.prt.1
manifold_solid_brep_12858.prt.1
manifold_solid_brep_13480.prt.1
mold_asm.asm.13
mold_asm_66.asm.5
mold_asm_asm.stp
mold_asm__out.log.1
mold_location-ring_asm_4.asm.1
mold_misumi_swl40-80_4.prt.1
mold_moldbase_asm_7.asm.1
mold_sprue-bush_asm_3.asm.1
moren_asm_92.asm.1
moren_guide_rail_asm_5.asm.1
moren_m3-14_4.prt.1
moren_misumi_swl6-25_1.prt.1
plate_a_12.prt.2
plate_bp_6.prt.1
plate_b_16.prt.2
plate_ep_6.prt.1
plate_erp_6.prt.2
plate_ft_6.asm.1
plate_tp_9.prt.1
runner_15.prt.1
screw-guide_rail_5.prt.1
screw-locationring_4.prt.1
screw-spruebush_2.prt.1
screw_a_5.prt.1
screw_b_6.prt.1
screw_e_6.prt.1
screw_f_5.prt.1
slide-base_22.prt.1
slide1_13.prt.1
sprue-bush_5.prt.1
trail.txt.1
trail.txt.10
trail.txt.11
trail.txt.12
trail.txt.13
trail.txt.14
trail.txt.15
trail.txt.16
trail.txt.17
trail.txt.18
trail.txt.19
trail.txt.2
trail.txt.20
trail.txt.21
trail.txt.22
trail.txt.23
trail.txt.24
trail.txt.25
trail.txt.3
trail.txt.4
trail.txt.5
trail.txt.6
trail.txt.7
trail.txt.8
trail.txt.9
最终版装配图.dwg
最终版零件图14张.dwg
零件图A4 3张.dwg
压缩包内文档预览:
预览图 预览图 预览图 预览图 预览图 预览图 预览图 预览图
编号:10106406    类型:共享资源    大小:8.62MB    格式:RAR    上传时间:2018-05-15 上传人:俊****计 IP属地:江苏
40
积分
关 键 词:
耳机 塑料 模具设计 18 cad 图纸 以及 说明书 仿单
资源描述:

  摘要 




    近年来,工程塑料以其优异的性能获得了越来越广泛的应用。而注塑模具是 

其中发展较快的种类,在人们生活的各个领域都能够见到塑料制品。因此,研究 

注塑模具对了解塑料产品的生产过程和提高产品质量有很大意义。 


    本设计分析了耳机的结构,提出了模具设计的关键点,设计了模具的整体结 

构。根据塑件分型面的位置,设计了斜导柱外侧抽芯结构,零件采用了单分型面 

的点浇口,提高了零件的外面质量。通过对塑件进行工艺的分析及其结构分析, 

从产品结构工艺性,具体模具结构出发,对模具的浇注系统、模具成型部分的结 

构、顶出系统、注射机的选择及有关参数的校核都有详细的设计。该模具一模四 

腔,采用顶针顶出结构。经过生产验证,该模具结构合理,动作可靠。 

关键词:耳机;塑料模具;注射机 


内容简介:
INTJADVMANUFTECHNOL2001172973042001SPRINGERVERLAGLONDONLIMITEDOPTIMUMGATEDESIGNOFFREEFORMINJECTIONMOULDUSINGTHEABDUCTIVENETWORKJCLINDEPARTMENTOFMECHANICALDESIGNENGINEERING,NATIONALHUWEIINSTITUTEOFTECHNOLOGY,YUNLIN,TAIWANTHISSTUDYUSESTHEINJECTIONPOSITIONANDSIZEOFTHEGATEASTHEMAJORCONTROLPARAMETERSFORASIMULATEDINJECTIONMOULDONCETHEINJECTIONPARAMETERSGATESIZEANDGATEPOSITIONAREGIVEN,THEPRODUCTPERFORMANCEDEFORMATIONCANBEACCURATELYPREDICTEDBYTHEABDUCTIVENETWORKDEVELOPEDTOAVOIDTHENUMEROUSINFLUENCINGFACTORS,FIRSTTHEPARTLINEOFTHEPARAMETEREQUATIONISCREATEDBYANABDUCTIVENETWORKTOLIMITTHERANGEOFTHEGATETHEOPTIMALINJECTIONPARAMETERSCANBESEARCHEDFORBYASIMULATIONANNEALINGSAOPTIMISATIONALGORITHM,WITHAPERFORMANCEINDEX,TOOBTAINAPERFECTPARTTHEMAJORPURPOSEISSEARCHINGFORTHEOPTIMALGATELOCATIONONTHEPARTSURFACE,ANDMINIMISINGTHEAIRTRAPANDDEFORMATIONAFTERPARTFORMATIONTHISSTUDYALSOUSESAPRACTICALEXAMPLEWHICHHASBEENANDPROVEDBYEXPERIMENTTOACHIEVEASATISFACTORYRESULTKEYWORDSABDUCTIVENETWORKINJECTIONMOULDSIMULATIONANNEALINGSA1INTRODUCTIONOWINGTOTHERAPIDDEVELOPMENTOFINDUSTRYANDCOMMERCEINRECENTYEARS,THEREISANEEDFORRAPIDANDHIGHVOLUMEPRODUCTIONOFGOODSTHEPRODUCTSAREMANUFACTUREDUSINGMOULDSINORDERTOSAVETHETIMEANDCOSTPLASTICPRODUCTSARETHEMAJORITYOWINGTOTHESEPRODUCTSNOTREQUIRINGCOMPLICATEDPROCESSESITISPOSSIBLETOCOPEWITHMARKETDEMANDSPEEDILYANDCONVENIENTLYINTRADITIONALPLASTICPRODUCTION,THEDESIGNSOFTHEPORTIONSOFTHEMOULDAREDETERMINEDBYHUMANSHOWEVER,BECAUSEOFTHEINCREASEDPERFORMANCEREQUIREMENTS,THECOMPLEXITYOFPLASTICPRODUCTSHASINCREASEDFIRST,THEGEOMETRICSHAPESOFTHEPLASTICPRODUCTSAREDIFFICULTTODRAW,ANDTHEINTERNALSHAPEISOFTENCOMPLEXWHICHALSOAFFECTSTHEPRODUCTIONOFTHEPRODUCTINJECTIONPROCESSINGCANBEDIVIDEDINTOTHREESTAGESCORRESPONDENCEANDOFFPRINTREQUESTSTODRJCLIN,DEPARTMENTOFMECHANICALDESIGNENGINEERING,NATIONALHUWEIINSTITUTEOFTECHNOLOGY,YUNLIN632,TAIWANEMAILLINRCKSUNWSNHITEDUTW1HEATTHEPLASTICMATERIALTOAMOLTENSTATETHEN,BYHIGHPRESSURE,FORCETHEMATERIALTOTHERUNNER,ANDTHENINTOTHEMOULDCAVITY2WHENTHEFILLINGOFTHEMOULDCAVITYISCOMPLETED,MOREMOLTENPLASTICSHOULDBEDELIVEREDINTOTHECAVITYATHIGHPRESSURETOCOMPENSATEFORTHESHRINKAGEOFTHEPLASTICTHISENSURESCOMPLETEFILLINGOFTHEMOULDCAVITY3TAKEOUTTHEPRODUCTAFTERCOOLINGTHOUGHTHEFILLINGPROCESSISONLYASMALLPROPORTIONOFTHECOMPLETEFORMATIONCYCLE,ITISVERYIMPORTANTIFFILLINGININCOMPLETE,THEREISNOPRESSUREHOLDINGANDCOOLINGISREQUIREDTHUS,THEFLOWOFTHEPLASTICFLUIDSHOULDBECONTROLLEDTHOROUGHLYTOENSURETHEQUALITYOFTHEPRODUCTTHEISOTHERMALFILLINGMODELOFANEWTONIANFLUIDISTHESIMPLESTINJECTIONMOULDFLOWFILLINGMODELRICHARDSON1PRODUCEDACOMPLETEANDDETAILEDCONCEPTTHEMAJORCONCEPTISBASEDONTHEAPPLICATIONOFLUBRICATIONTHEORY,ANDHESIMPLIFIEDTHECOMPLEX3DFLOWTHEORYTO2DHELESHAWFLOWTHEHELESHAWFLOWWASUSEDTOSIMULATETHEPOTENTIALFLOWANDWASFURTHERMOREUSEDINTHEPLASTICITYFLOWOFTHEPLASTICHEASSUMEDTHEPLASTICITYFLOWONANEXTREMELYTHINPLATEANDFULLYDEVELOPEDTHEFLOWBYIGNORINGTHESPEEDCHANGETHROUGHTHETHICKNESSKAMALETALUSEDSIMILARMETHODSTOOBTAINTHEFILLINGCONDITIONFORARECTANGULARMOULDCAVITY,ANDTHEANALYTICALRESULTOBTAINEDWASALMOSTIDENTICALTOTHEEXPERIMENTALRESULTPLASTICMATERIALFOLLOWSTHENEWTONIANFLUIDMODELFORFLOWINAMOULDCAVITY,ANDBIRDETAL24DERIVEDMOULDFLOWTHEORYBASEDONTHISWHENTHESHAPEOFAMOULDISCOMPLICATEDANDTHEREISVARIATIONINTHICKNESS,THENTHEEQUILIBRIUMEQUATIONSCHANGESTONONLINEARANDHASNOANALYTICALSOLUTIONTHUS,ITCANBESOLVEDONLYBYFINITEDIFFERENCEORNUMERICALSOLUTIONS2,5OFCOURSE,ASTHEPOLYMERISAVISCOELASTICFLUID,ITISBESTTOSOLVETHEFLOWPROBLEMBYUSINGVISCOELASTICITYEQUATIONSIN1998,GOYALETALUSEDTHEWHITEMETZNERVISCOELASTICITYMODELTOSIMULATETHEDISKMOULDFLOWMODELFORCENTRALPOURINGMETZNER,USINGAFINITEDIFFERENCEMETHODTOSOLVETHEGOVERNINGEQUATION,FOULDTHEVISCOELASTICITYEFFECTWOULDNOTCHANGETHEDISTRIBUTIONOFSPEEDANDTEMPERATUREHOWEVER,ITAFFECTSTHESTRESSFIELDVERYMUCHIFITISAPUREVISCOELASTIC298JCLINFLOWMODEL,THEPOPULARGNFMODELISGENERALLYUSEDTOPERFORMNUMERICALSIMULATIONCURRENTLY,FINITEELEMENTMETHODSAREMOSTLYUSEDFORTHESOLUTIONOFMOULDFLOWPROBLEMSOTHERMETHODSAREPUREVISCOELASTICMODELS,SUCHASCFOLWANDMOLDFLOWSOFTWAREWEUSEDTHISMETHODASWELLSOMESOFTWAREEMPLOYSTHEVISCOELASTICWHITEMETZNERMODEL,BUTITISLIMITEDTO2DMOULDFLOWANALYSISSIMPLEMOULDFLOWANALYSISISLIMITEDBYCPUTIMEFORTHECOMPLICATEDMOULDSHAPES,PAPTHANASIONETALUSEDUCMFLUIDFORFILLINGANALYSIS,USINGAFINITEDIFFERENCEMETHODANDBFCCCOORDINATIONSYSTEMAPPLICATIONFORTHESOLUTIONOFTHEMORECOMPLICATEDMOULDSHAPEANDFILLINGPROBLEM,BUTITWASNOTCOMMERCIALISED6MANYFACTORSAFFECTPLASTICMATERIALINJECTIONTHEFILLINGSPEED,INJECTIONPRESSUREANDMOLTENTEMPERATURE,HOLDINGPRESSURE712,COOLINGTUBE13,14ANDINJECTIONGATEAFFECTTHEACCURACYOFTHEPLASTICPRODUCT,BECAUSE,WHENTHEINJECTIONPROCESSINGISCOMPLETED,THEFLOWOFMATERIALINTHEMOULDCAVITYRESULTSINUNEVENTEMPERATUREANDPRESSURE,ANDINDUCESRESIDUALSTRESSANDDEFORMATIONOFTHEWORKPIECEAFTERCOOLINGITISDIFFICULTTODECIDEONTHEMOULDPARTSURFACEANDGATEPOSITIONSGENERALLY,THEMOULDPARTSURFACEISLOCATEDATTHEWIDESTPLANEOFTHEMOULDSEARCHINGFORTHEOPTIMALGATEPOSITIONDEPENDSONEXPERIENCEMINIMALMODIFICATIONTOTHEMOULDISREQUIREDIFYOUARELUCKYHOWEVER,THETIMEANDCOSTREQUIREDFORTHEMODIFICATIONOFMOSTINJECTIONMOULDSEXCEEDSTHEORIGINALCOST,IFTHECHOICEOFTHEPARTLINEISPOORFORTHEMOULDPARTSURFACE,MANYWORKERSUSEDVARIOUSMETHODSTOSEARCHFORTHEOPTIMALMOULDPARTLINE,SUCHASGEOMETRICSHAPEANDFEATUREBASEDDESIGN1517SOMEWORKERSUSEDFINITEELEMENTMETHODSANDABDUCTIVENETWORKSTOLOOKFORTHEOPTIMALGATEDESIGNFORADIECASTINGMOULD18THISSTUDYUSEDANABDUCTIVENETWORKTOESTABLISHTHEPARAMETERRELATIONSHIPOFTHEMOULDPARTLINE,ANDUSEDTHISFORMULAFORSEARCHINGFOR22POINTSONTHEINJECTIONMOULDPARTLINETOSERVEASTHELOCATIONFORANINJECTIONGATEABDUCTIVENETWORKSAREUSEDTOMATCHINJECTIONPRESSUREANDPRESSUREHOLDINGTIMETOPERFORMINJECTIONFORMATIONANALYSIS,ANDTOESTABLISHARELATIONSHIPBETWEENTHESEPARAMETERS,ANDTHEOUTPUTRESULTOFTHEINJECTIONPROCESSITHASBEENSHOWNTHATPREDICTIONACCURACYINABDUCTIVENETWORKSISMUCHHIGHERTHANTHATINOTHERNETWORKS19ABDUCTIVENETWORKSBASEDONTHEABDUCTIVEMODELLINGTECHNIQUEAREABLETOREPRESENTCOMPLEXANDUNCERTAINRELATIONSHIPSBETWEENMOULDFLOWANALYSISRESULTSANDINJECTIONPARAMETERSITHASBEEENSHOWNTHATTHEINJECTIONSTRAINANDINJECTIONSTRESSINAPRODUCTCANBEPREDICTED,WITHREASONABLEACCURACY,BASEDONTHEDEVELOPEDNETWORKSTHEABDUCTIVENETWORKHASBEENCONSTRUCTEDONCETHERELATIONSHIPSOFGATELOCATIONTHATAREINPUTANDSIMULATEDHAVEBEENDETERMINEDANAPPROPRIATEOPTIMISATIONALGORITHMWITHAPERFORMANCEINDEXISTHENUSEDTOSEARCHFORTHEOPTIMALLOCATIONPARAMETERSINTHISPAPER,ANOPTIMISATIONMETHODFORSIMULATEDANNEALING20ISPRESENTEDTHESIMULATEDANNEALINGALGORITHMISASIMULATIONOFTHEANNEALINGPROCESSFORMINIMISINGTHEPERFORMANCEINDEXITHASBEENSUCCESSFULLYAPPLIEDTOFILTERINGINIMAGEPROCESSING21,VLSILAYOUTGENERATION22,DISCRETETOLERANCEDESIGN23,WIREELECTRICALDISCHARGEMACHINING24,DEEPDRAWCLEARANCE25,ANDCASTINGDIERUNNERDESIGN26,ETCITPROVIDESANEXPERIMENTALFOUNDATIONBASEDONTHEORYFORTHEDEVELOPMENTANDAPPLICATIONOFTHETECHNOLOGIES2MOULDFLOWTHEORYTHEMOULDFLOWANALYSISINCLUDEFOURMAJORPARTS1FILLINGSTAGE2PRESSUREHOLDINGSTAGE3COOLINGANDSOLIDIFICATIONSTAGE4SHRINKAGEANDWARP,IESTRESSRESIDUESTAGETHUS,THEMAJORMOULDFLOWEQUATIONSAREDIVIDEDINTOFOURGROUPSINTHEFILLINGSTAGE,THEMOULDCAVITYISFILLEDWITHMOLTENPLASTICFLUIDATHIGHPRESSSURETHUS,THEGOVERNINGEQUATIONSINCLUDE1CONTINUITYEQUATIONTHEPLASTICDEFORMATIONORSHAPECHANGEACCOMPANYTHEFLOWDURINGTHEFILLINGPROCESSMASSCONSERVATIONRTV01RPLASTICDENSITYVVECTORVELOCITY2MOMENTUMEQUATIONNEWTONSSECONDLAWISUSEDTODERIVETHEMOMENTUMACCELERATIONCONDITIONORFORCEBALANCEGENERATEDBYPLASTICFLOWRFVTVVGVPTRF2PFLOWPRESSUREFBODYFORCETSTRESSTENSOR3ENERGYEQUATIONTHEENERGYCONSERVATIONOFSYSTEMANDLAWSOFCONSERVATIONOFFLOWMATERIAL,IFTHEFLUIDISINCOMPRESSIBLERCPFTTVTGQTV3TTEMPERATURECPSPECIFICHEATOFCONSTANTPRESSUREQHEATFLUX4RHEOLOGYEQUATIONTFNG,T,P,4GVVT5VDEFORMTENSORVTTRANSPORTVECTORHOLDINGPRESSUREANALYSISTHEHOLDINGPRESSUREPROCESSISTOMAINTAINTHEPRESSUREAFTERTHEMOULDCAVITYISFILLEDINORDERTOINJECTMOREPLASTIC,TOCOMPENSATEFORTHESHRINKAGEINCOOLINGRV1TPX1FT11X1T21X2T31X3G6RV2TPX2FT12X1T22X2T32X3G7RV3TPX1FT13X1T23X2T33X3G8OPTIMUMGATEDESIGNOFFREEFORMINJECTIONMOULD299COOLINGANALYSISTHEANALYSISOFTHECOOLINGPROCESSCONSIDERSTHERELATIONSHIPOFTHEPLASTICFLOWDISTRIBUTIONANDHEATTRANSMISSIONTHEHOMOGENOUSMOULDTEMPERATUREANDTHESEQUENCEOFFILLINGWILLBEAFFECTEDBYTHESHRINKAGEOFTHEPRODUCTFORMEDIFTHETEMPERATUREISDISTRIBUTEDNONUNIFORMLY,ITTENDSTOPRODUCEWARPTHISISMAINLYDUETOHEATTRANSFERANDCRYSTALLISATIONHEATOFTHEPLASTICRCPTTKF2TX212TX222TX33GRCPRDH9RCRYSTALLISATIONRATEDHCRYSTALLISATIONHEAT3ABDUCTIVENETWORKSYNTHESISANDEVALUATIONMILLER22OBSERVEDTHATHUMANBEHAVIOURLIMITSTHEAMOUNTOFINFORMATIONCONSIDEREDATATIMETHEINPUTDATAARESUMMARISEDANDTHENTHESUMMARISEDINFORMATIONISPASSEDTOAHIGHERREASONINGLEVELINANABDUCTIVENETWORK,ACOMPLEXSYSTEMCANBEDECOMPOSEDINTOSMALLER,SIMPLERSUBSYSTEMSGROUPEDINTOSEVERALLAYERSUSINGPOLYNOMIALFUNCTIONNODESTHESENODESEVALUATETHELIMITEDNUMBEROFINPUTSBYAPOLYNOMIALFUNCTIONANDGENERATEANOUTPUTTOSERVEASANINPUTTOSUBSEQUENTNODESOFTHENEXTLAYERTHESEPOLYNOMIALFUNCTIONALNODESARESPECIFIEDASFOLLOWS1NORMALISERANORMALISERTRANSFORMSTHEORIGINALINPUTVARIABLESINTOARELATIVELYCOMMONREGIONA1Q0Q1X110WHEREA1ISTHENORMALISEDINPUT,Q0,Q1ARETHECOEFFICIENTSOFTHENORMALISER,ANDX1ISTHEORIGINALINPUT2WHITENODEAWHITENODECONSISTSOFLINEARWEIGHTEDSUMSOFALLTHEOUTPUTSOFTHEPREVIOUSLAYERB1R0R1Y1R2Y2R3Y3RNYN11WHEREY1,Y2,Y3,YNARETHEINPUTOFTHEPREVIOUSLAYER,B1ISTHEOUTPUTOFTHENODE,ANDTHER0,R1,R2,R3,RNARETHECOEFFICIENTSOFTHETRIPLENODE3SINGLE,DOUBLE,ANDTRIPLENODESTHESENAMESAREBASEDONTHENUMBEROFINPUTVARIABLESTHEALGEBRAICFORMOFEACHOFTHESENODESISSHOWNINTHEFOLLOWINGSINGLEC1S0S1Z1S2Z21S3Z3112DOUBLED1T0T1N1T2N21T3N31T4N2T5N22T6N32T7N1N213TRIPLEE1U0U1O1U2O21U3O31U4O2U5O22U6O32U7O3U8O23U9O33U10O1O2U11O2O3U12O1O3U13O1O2O314WHEREZ1,Z2,Z3,ZN,N1,N2,N3,NN,O1,O2,O3,ONARETHEINPUTOFTHEPREVIOUSLAYER,C1,D1,ANDE1ARETHEOUTPUTOFTHENODE,ANDTHES0,S1,S2,S3,SN,T0,S1,T2,T3,TN,U0,U1,U2,U3,UNARETHECOEFFICIENTSOFTHESINGLE,DOUBLE,ANDTRIPLENODESTHESENODESARETHIRDDEGREEPOLYNOMIALEQANDDOUBLESANDTRIPLESHAVECROSSTERMS,ALLOWINGINTERACTIONAMONGTHENODEINPUTVARIABLES4UNITISERONTHEOTHERHAND,AUNITISERCONVERTSTHEOUTPUTTOAREALOUTPUTF1V0V1I115WHEREI1ISTHEOUTPUTOFTHENETWORK,F1ISTHEREALOUTPUT,ANDV0ANDV1ARETHECOEFFICIENTSOFTHEUNITISER4PARTSURFACEMODELTHISSTUDYUSESANACTUALINDUSTRIALPRODUCTASASAMPLE,FIG1THEMOULDPARTSURFACEISLOCATEDATTHEMAXIMUMPROJECTIONAREAASSHOWNINFIG1,THEBOTTOMISTHEWIDESTPLANEANDISCHOSENASTHEMOULDPARTSURFACEHOWEVER,MOSTIMPORTANTISTHESEARCHINGOFGATEPOSITIONONTHEPARTSURFACETHISSTUDYESTABLISHESTHEPARAMETEREQUATIONBYUSINGANABDUCTIVENEURONNETWORK,INORDERTOESTABLISHTHESIMULATEDANNEALINGMETHODSATOFINDTHEOPTIMALGATEPATHPOSITIONTHEPARAMETEREQUATIONOFAPARTSURFACEISEXPRESSEDBYFYXFIRST,USEACMMSYSTEMTOMEASURETHEXYZCOORDINATEVALUESINTHISSTUDYZ0OF22POINTSONTHEMOULDPARTLINEONTHEMOULDPARTSURFACEASILLUSTRATEDINTABLE1,ANDTHEGATEPOSITIONISCOMPLETELYONTHECURVEINTHISSPACEPRIORTODEVELOPINGASPACECURVEMODEL,ADATABASEHASTOBETRAINED,ANDAGOODRELATIONSHIPMSUTEXISTBETWEENTHECONTROLPOINTANDABDUCTIVENETWORKSYSTEMACORRECTANDFIG1INJECTIONMOULDPRODUCT300JCLINTABLE1X,YCOORDINATESETNUMBERXCOORDINATEYCOORDINATE1002462163433332835452920457310566934097113323581298394913855571014127341113699671212961191310002103149332316158642528167982739177872831187802929197833034207603130217073215226113249PRECISECURVEEQISHELPFULFORFINDINGTHEOPTIMALGATELOCATIONTOBUILDACOMPLETEABDUCTIVENETWORK,THEFIRSTREQUIREMENTISTOTRAINTHEDATABASETHEINFORMATIONGIVENBYTHEINPUTANDOUTPUTPARAMETERSMUSTBESUFFICIENTAPREDICTEDSQUAREERRORPSECRITERIONISTHENUSEDTODETERMINEAUTOMATICALLYANOPTIMALSTRUCTURE23THEPSECRITERIONISUSEDTOSELECTTHELEASTCOMPLEXBUTSTILLACCURATENETWORKTHEPSEISCOMPOSEDOFTWOTERMSPSEFSEKP16WHEREFSEISTHEAVERAGESQUAREERROROFTHENETWORKFORFITTINGTHETRAININGDATAANDKPISTHECOMPLEXPENALTYOFTHENETWORK,SHOWNBYTHEFOLLOWINGEQUATIONKPCPM2S2PKN17WHERECPMISTHECOMPLEXPENALTYMULTIPLIER,KPISACOEFFICIENTOFTHENETWORKNISTHENUMBEROFTRAININGDATATOBEUSEDANDS2PISAPRIORESTIMATEOFTHEMODELERRORVARIANCEBASEDONTHEDEVELOPMENTOFTHEDATABASEANDTHEPREDICTIONOFTHEACCURACYOFTHEPARTSURFACE,ATHREELAYERABDUCTIVENETWORK,WHICHCOMPRISEDDESIGNFACTORSINPUTVARIOUSYCOORDINATEANDOUTPUTFACTORSXCOORDINATEISSYNTHESISEDAUTOMATICALLYITISCAPABLEOFPREDICTINGACCURATELYTHESPACECURVEATANYPOINTUNDERVARIOUSCONTROLPARAMETERSALLPOLYNOMIALEQUATIONSUSEDINTHISNETWORKARELISTEDINAPPENDIXAPSE58103TABLE2COMPARESTHEERRORPREDICTEDBYTHEABDUCTIVEMODELANDCMMMEASUREMENTDATATHEMEASUREMENTDAAISEXCLUDEDFROMTHE22SETSOFCMMMEASUREMENTDATAFORESTABLISHINGTHEMODELTHISSETOFDATAISUSEDTOTESTTHEAPPROPRIATENESSOFTHEMODELESTABLISHEDABOVEWECANSEEFROMTABLE2THATTHEERRORISAPPROXIMATELY213,WHICHSHOWSTHATTHEMODELISSUITABLEFORTHISSPACECURVETABLE2CMMSCOORDINATEANDNEURALNETWORKPREDICTCOMPAREDITISNOTINCLUDEDINANYORIGINAL22SETSDATABASEITEMSCMMSNEURALNETWORKERRORVALUESCOORDINATEPREDICTCMMSPREDICT/COORDINATECMMSCOORDINATE1125,1601101,1602135CREATETHEINJECTIONMOULDMODELSIMILARLY,THERELATIONSHIPISESTABLISHEDBETWEENINPUTPARAMETERSGATELOCATIONANDGATESIZEANDTHEOUTPUTPARAMETERDEFORMATIONDURINGTHEINJECTIONPROCESSTOBUILDACOMPLETEABDUCTIVENETWORK,THEFIRSTREQUIREMENTISTOTRAINTHEDATABASETHEINFORMATIONGIVENBYTHEINPUTANDTHEOUTPUTDATAMUSTBESUFFICIENTTHUS,THETRAININGFACTORGATELOCATIONFORABDUCTIVENETWORKTRAININGSHOULDBESATISFACTORYFORMAKINGDEFECTFREEPRODUCTSFIGURE2SHOWSTHESIMULATIONOFFEMMOULDFLOWTABLE3SHOWSTHEPOSITIONOFTHEGATEANDTHEMAXIMUMDEFORMATIONOFTHEPRODUCTOBTAINEDFROMMOULDFLOWANALYSISBASEDONTHEDEVELOPMENTOFTHEINJECTIONMOULDMODEL,THREELAYERABDUCTIVENETWORKS,WHICHARECOMPRISEDOFINJECTIONMOULDCONDITIONSANDTHEINJECTIONRESULTSDEFORMATION,ARESYNTHESISEDAUTOMATICALLYTHEYARECAPABLEOFPREDICTINGACCURATELYTHEPRODUCTSTRAINTHERESULTOFINJECTIONMOULDEDPRODUCTUNDERVARIOUSCONTROLPARAMETERSALLPOLYNOMIALEQUATIONSUSEDINTHISNETWORKARELISTEDINAPPENDIXBPSE23105TABLE4COMPARESTHEERRORPREDICTEDBYTHEABDUCTIVEMODELANDTHESIMULATIONCASETHESIMULATIONCASEISEXCLUDEDFROMTHE22SETSOFSIMULATIONCASESFORESTABLISHINGTHEMODELTHISSETOFDATAISUSEDTOTESTTHEAPPROPRIATENESSOFTHEMODELESTABLISHEDABOVEWECANSEEFROMTABLE4THATTHEERRORISFIG2THEDEFORMATIONOFFEMMOULDFLOWOPTIMUMGATEDESIGNOFFREEFORMINJECTIONMOULD301TABLE3GATELOCATIONANDTHEMAXIMUMSTRAINRELATIONSHIPSETNUMBERXCOORDINATEYCOORDINATEGATEWIDTHGATELENGTHPRODUCEMAXSTRAIN100246052511475034821634330715303153332835087519125027104529204105229502858573105605251147503017693409071530526711332350875191250236981298394105229502517913855570525114750278810141273407153027731113699670875191250298812129611910522950299713100021030525114750257614933231607153026241586425280875191250254216798273910522950249517787283105251147502503187802929071530245619783303408751912502596207603130105229502457217073215052511475024992261132490715302511TABLE4MOULDFLOWSIMULATEDANDNEURALNETWORKPREDICTCOMPAREDITISNOTINCLUDEDINANYORIGINAL22SETDATABASEITEMSFEMMOULDFLOWNEURALNETWORKSIMULATIONPREDICTXCOORDINATE11011101YCOORDINATE160160GATEWIDTH1818GATEHEIGHT0909PRODUCEMAXDEFORMATION0317803325ERRORVALUES462FEMPREDICT/FEMAPPROXIMATELY462,WHICHSHOWSTHATTHEMODELISSUITABLEFORTHISMODELREQUIREMENT6SIMULATIONANNEALINGTHEORYIN1983,ATHEORYTHATWASCAPABLEOFSOLVINGTHEGLOBALOPTIMISATIONPROBLEMWASDEVELOPEDFORTHEOPTIMISEDPROBLEMTHECONCEPTWASAPOWERFULOPTIMISATIONALGORITHMBASEDONTHEANNEALINGOFASOLIDWHICHSOLVEDTHECOMBINATORIALOPTIMISATIONPROBLEMOFMULTIPLEVARIABLESWHENTHETEMPERATUREISTANDENERGYE,THETHERMALEQUILIBRIUMOFTHESYSTEMISABOLTZMANDISTRIBUTIONPR1ZTEXPSEKBTD18ZTNORMALISATIONFACTORKBBOLTZMANCONSTANTEXPE/KBTBOLTZMANFACTORMETROPOLIS24PROPOSEDACRITERIONFORSIMULATINGTHECOOLINGOFASOLIDTOANEWSTATEOFENERGYBALANCETHEBASICCRITERIONUSEDBYMETROPOLISISANOPTIMISATIONALGORITHMCALLED“SIMULATEDANNEALING”THEALGORITHMWASDEVELOPEDBYKIRKPATRICKETAL20INTHISPAPER,THESIMULATIONANNEALINGALGORITHMISUSEDTOSEARCHFORTHEOPTIMALCONTROLPARAMETERSFORGATELOCATIONFIGURE3SHOWSTHEFLOWCHARTOFTHESIMULATEDANNEALINGSEARCHFIRST,THEALGORITHMISGIVENANINITIALTEMPERATURETSANDAFINALTEMPERATURETE,ANDASETOFINITIALPROCESSVECTORSOXTHEOBJECTIVEFUNCTIONOBJISDEFINED,BASEDONTHEINJECTIONPARAMETERPERFORMANCEINDEXTHEOBJECTIVEFUNCTIONCANBERECALCULATEDFORALLTHEDIFFERENTPERTURBEDCOMPENSATIONPARAMETERSIFTHENEWOBJECTIVEFUNCTIONBECOMESSMALLER,THEPETURBEDPROCESSPARAMETERSAREACCEPTEDASTHENEWPROCESSPARAMETERSANDTHETEMPERATUREDROPSALITTLEINSCALETHATISTI1TICT19WHEREIISTHEINDEXFORTHETEMPERATUREDECREMENTANDTHECTISTHEDECAYRATIOFORTHETEMPERATURECT,1HOWEVER,IFTHEOBJECTIVEFUNCTIONBECOMESLARGER,THEPROBABILITYOFACCEPTANCEOFTHEPERTURBEDPROCESSPARAMETERSISGIVENASPROBJEXPFDOBJKBTG20WHEREKBISTHEBOLTZMANCONSTANTANDDOBJISTHEDIFFERENTINTHEOBJECTIVEFUNCTIONTHEPROCEDUREISREPEATEDUNTILTHETEMPERATURETIAPPROACHESZEROITSHOWSTHEENERGYDROPPINGTOTHELOWESTSTATEONCETHEMODELOFTHERELATIONSHIPAMONGTHEFUNCTIONSOFTHEGATELOCATION,THEINPUTPARAMETERSANDOUTPUTPARAMETERSAREESTABLISHED,THISMODELCANBEUSEDTOFINDTHEOPTIMALPARAMETERFORTHEGATELOCATIONTHEOPTIMALPARAMETERFORTHEPROCESSCANBEOBTAINEDBYUSINGTHEOBJECTIVEFUNCTIONTOSERVE302JCLINFIG3FLOWCHARTOFTHESIMULATEDANNEALINGSEARCHINGASASTARTINGPOINTTHEOBJECTIVEFUNCTIONOBJISFORMULATEDASFOLLOWSOBJW1XCOORDINATEW2YCOORDINATE21W3GATEWIDESIZEW3GATEHEIGHTSIZEWHEREW1,W2,ANDW3ARETHEWEIGHTFUNCTIONSTHECONTROLPARAMETRICOFTHEX,YLOCATIONSHOULDCOMPLYWITHTHEPARTSURFACEPARAMETEREQUATIONTHATMEANSTHEBASICCONDITIONOFOPTIMISATIONSHOULDFALLWITHINACERTAINRANGE1THEXCOORDINATEVALUEOBTAINEDFROMOPTIMISATIONSHOULDBELARGERTHANTHEMINIMUMXCOORDINATEVALUE,ANDSMALLERTHANTHEMAXIMUMXCOORDINATEVALUE2THEYCOORDINATEVALUEOBTAINEDFROMOPTIMISATIONSHOULDBELARGERTHANTHEMINIMUMYCOORDINATEVALUE,ANDSMALLERTHANTHEMAXIMUMXCOORDINATEVALUETHEX,YCOORDINATEDEPENDSONTHEAPPENDIXANEURALNETWORKEQUATION3THEGATEWIDESIZEOBTAINEDFROMOPTIMISATIONSHOULDBELARGERTHANTHEMINIMUMSIZEOFGATEWIDTH,ANDSMALLERTHANTHEMAXIMUMGATEWIDTHSIZE4THEGATEHEIGHTSIZEOBTAINEDFROMOPTIMISATIONSHOULDBELARGERTHANTHEMINIMUMSIZEOFGATEHEIGHT,ANDSMALLERTHANTHEMAXIMUMGATEHEIGHTSIZETHEINEQUALITIESAREGIVENASFOLLOWSTHESMALLESTXCOORDINATEVALUE,XCOORDINATEVALUE,THELARGESTXCOORDINATEVALUE22THESMALLESTYCOORDINATEVALUE,YCOORDINATEVALUE,THELARGESTYCOORDINATEVALUE23THESMALLESTGATEWIDTHSIZE,GATEWIDTHSIZE,THELARGESTWIDTHGATESIZE24THESMALLESTGATEHEIGHTSIZE,GATEHEIGHTSIZE,THELARGESTHEIGHTGATESIZE25THEUPPERBOUNDCONDITIONSSHOULDBEKEPTTOANACCEPTABLELEVELSOASTOFINDTHEOPTIMALACCCURATEGATECOORDINATE7RESULTSANDDISCUSSIONANEXAMPLEOFTHESIMUL
温馨提示:
1: 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
2: 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
3.本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。
提示  人人文库网所有资源均是用户自行上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作他用。
关于本文
本文标题:耳机塑料模具设计【18张CAD图纸和说明书】
链接地址:https://www.renrendoc.com/p-10106406.html

官方联系方式

2:不支持迅雷下载,请使用浏览器下载   
3:不支持QQ浏览器下载,请用其他浏览器   
4:下载后的文档和图纸-无水印   
5:文档经过压缩,下载后原文更清晰   
关于我们 - 网站声明 - 网站地图 - 资源地图 - 友情链接 - 网站客服 - 联系我们

网站客服QQ:2881952447     

copyright@ 2020-2025  renrendoc.com 人人文库版权所有   联系电话:400-852-1180

备案号:蜀ICP备2022000484号-2       经营许可证: 川B2-20220663       公网安备川公网安备: 51019002004831号

本站为文档C2C交易模式,即用户上传的文档直接被用户下载,本站只是中间服务平台,本站所有文档下载所得的收益归上传人(含作者)所有。人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。若文档所含内容侵犯了您的版权或隐私,请立即通知人人文库网,我们立即给予删除!