通过实验设计优化微注射成型工艺课程毕业设计设计外文文献翻译、中英文翻译、外文翻译

1INTRODUCTIONMICROINJECTIONMOULDINGMIMISARELATIVELYNEWTECHNOLOGYWHICHISPOPULARINTHEINDUSTRYFORMICROMANUFACTUREBECAUSEOFITSMASSPRODUCTIONCAPABILITYANDLOWCOMPONENTCOSTINORDERTOACHIEVETHEHIGHESTQUALITYCOMPONENTSWITHMINIMALCOSTSUSINGMIMITISIMPORTANTTOUNDERSTANDTHEPROCESSANDIDENTIFYTHEEFFECTSOFDIFFERENTINDEPENDENTPARAMETERSONEOFTHEMETHODSTHATCANBEEMPLOYEDTOINVESTIGATETHEOVERALLOPERATIONOFMIMISDESIGNOFEXPERIMENTSDOEINGENERAL,DOECANBEUSEDTOCOLLECTDATAFROMANYPROCESSANDGAINANUNDERSTANDINGOFTHEPROCESSTHROUGHDATAANALYSISTHISPROCEDURECANHELPTOOPTIMISETHEPROCESSANDEVENTUALLYLEADTOQUALITYIMPROVEMENTSTHISPAPERISORGANIZEDASFOLLOWSTHEMIMPROCESSISDESCRIBEDINSECTION2INSECTION3THEDOEISINTRODUCEDTHECOLLECTIONOFEXPERIMENTALDATAISEXPLAINEDINSECTION4FOLLOWEDBYRESULTSANDDATAANALYSISINSECTION5THEDISCUSSIONOFRESULTSISPRESENTEDINSECTION6FINALLYTHEPAPERENDSWITHCONCLUSIONSGIVENINSECTION72MICROINJECTIONMOULDINGMIMMICROINJECTIONMOULDING1ISARELATIVELYNEWTECHNOLOGYINTHEMANUFACTURINGWORLD,ANDASSUCH,ITNEEDSTOBETHOROUGHLYINVESTIGATEDACCORDINGTOMICROPOWDERINJECTIONMOULDING,CONDUCTEDBYLIUETAL2,MICROSYSTEMTECHNOLOGYWEREWIDELYUSEDINTHENEW21STCENTURYBECAUSEOFITSSUCCESSFULAPPLICATIONSINMANYDIFFERENTFIELDS,EGINFLUIDIC,MEDICAL,OPTICALANDTELECOMMUNICATIONSPRESENTEDWITHMASSPRODUCTIONCAPABILITYANDLOWCOMPONENTCOST,MAKETHEMIMTECHNOLOGYTOBEONEOFTHEKEYPRODUCTIONPROCESSESFORMICROMANUFACTURINGTHECOMPONENTSOFMIMFALLINTOONEOFTHEFOLLOWINGTWOCATEGORIESTYPEAOVERALLSIZELESSTHAN1MMTYPEBMICROFEATURELESSTHAN200UMINITIALWORKONDOEANDDATAANALYSISONMIM,CONDUCTEDBYSHAETAL3,PRIMARILYFOCUSEDONTHEANALYSISOF5DIFFERENTFACTORSTHEMELTANDMOULDTEMPERATURE,INJECTIONSPEED,PRESSUREANDFLOWSTATUSAFFECTINGTHEACHIEVABLEASPECTRATIOSINTHREEDIFFERENTPOLYMERMATERIALSTHEASPECTRATIOISTHERATIOOFALONGERDIMENSIONTOITSSHORTERDIMENSIONOFASPECIALLYDESIGNEDMICROFEATUREFORTHISEXPERIMENTTHEIRSTUDYCONCLUDEDTHATMELTTEMPERATURETBANDINJECTIONSPEEDVIWERETHEKEYFACTORSAFFECTINGTHEASPECTRATIOSACHIEVABLEINREPLICATINGMICROFEATURESINALLTHREEPOLYMERSMATERIALSTHEEFFECTOFTOOLSURFACEQUALITYINMIM,CONDUCTEDBYGRIFFITHSETAL4,PRIMARILYFOCUSEDONTHEFACTORSAFFECTINGTHEFLOWBEHAVIORANDALSOTHEINTERACTIONBETWEENTHEMELTFLOWANDTHETOOLSURFACETHEFINDINGSOFTHESEEARLIERINVESTIGATIONSARETAKENINTOCONSIDERATIONINTHISSTUDYFIG1SHOWSAPICTUREOFAMIMMACHINETHEPLANNINGOFDOEANDTHEDATAANALYSISWASCARRIEDOUTUSINGTHESTATISTICALSOFTWAREPACKAGE“MINITAB16”3DESIGNOFEXPERIMENTSDOETHETECHNIQUEOFDEFININGANDINVESTIGATINGALLPOSSIBLECONDITIONSINANEXPERIMENTINVOLVINGMULTIPLEFACTORSISKNOWNASTHEDESIGNOFEXPERIMENTSTHETWOTYPESOFDOETHATAREWIDELYUSEDARETHEFACTORIALDESIGNANDTAGUCHIMETHODACCORDINGTOMINITABDESIGNOFEXPERIMENT6,FACTORIALDESIGNISATYPEOFDESIGNEDEXPERIMENTTHATALLOWSFORTHESIMULTANEOUSSTUDYOFTHEEFFECTSTHATSEVERALFACTORSMAYHAVEONARESPONSEWHENPERFORMINGANEXPERIMENT,VARYINGTHELEVELSOFALLFACTORSSIMULTANEOUSLYRATHERTHANONEATATIME,ALLOWSFORTHESTUDYOFINTERACTIONSBETWEENTHEFACTORSINAFULLFACTORIALEXPERIMENT,RESPONSESAREMEASUREDATALLCOMBINATIONSOFTHEEXPERIMENTALFACTORLEVELSTHECOMBINATIONSOFFACTORLEVELSREPRESENTTHECONDITIONSATWHICHRESPONSESWILLBEMEASUREDEACHEXPERIMENTALCONDITIONISCALLED“RUN”ANDTHERESPONSEMEASUREMENTANOBSERVATIONTHEENTIRESETOFRUNSISTHE“DESIGN”TOMINIMIZETIMEANDCOST,ITISPOSSIBLETOEXCLUDESOMEOFTHEFACTORLEVELCOMBINATIONSFACTORIALDESIGNSINWHICHONEORMORELEVELCOMBINATIONSAREEXCLUDEDARECALLEDFRACTIONALFACTORIALDESIGNSFRACTIONALFACTORIALDESIGNSAREUSEFULINFACTORSCREENINGBECAUSETHEYREDUCETHENUMBEROFRUNSTOAMANAGEABLESIZETHERUNSTHATAREPERFORMEDAREASELECTEDSUBSETORFRACTIONOFTHEFULLFACTORIALDESIGNBUTROY7MENTIONSTHATUSINGFULLFACTORIALANDFRACTIONALFACTORIALDOEMAYCONTRIBUTETOTHEFOLLOWINGISSUESTHEEXPERIMENTSBECOMEUNWIELDYINCOSTANDTIMEWHENTHENUMBEROFVARIABLEISLARGETWODESIGNSFORTHESAMEEXPERIMENTMAYYIELDDIFFERENTRESULTSTHEDESIGNSNORMALLYDONOTPERMITDETERMINATIONOFTHECONTRIBUTIONOFEACHFACTORTHEINTERPRETATIONOFEXPERIMENTWITHALARGENUMBEROFFACTORSMAYBEQUITEDIFFICULTHENCE,TAGUCHIMETHODWASDEVELOPEDINORDERTOOVERCOMESOMEOFTHESEISSUESTAGUCHIMETHODISTHETECHNIQUEOFDEFININGANDINVESTIGATINGALLPOSSIBLECONDITIONSINANEXPERIMENTINVOLVINGMULTIPLEFACTORSTAGUCHIMETHODWASFIRSTINTRODUCEDBYDRGENICHITAGUCHIAFTERTHESECONDWORLDWAR8,9HECAMEUPWITHTHREEBASICCONCEPTS71QUALITYSHOULDBEDESIGNEDINTOTHEPRODUCTANDNOTINSPECTEDINTOIT2QUALITYISBESTACHIEVEDBYMINIMISINGTHEDEVIATIONFROMATARGETTHEPRODUCTSHOULDBESODESIGNEDTHATITISIMMUNETOUNCONTROLLABLEENVIRONMENTALFACTORS3THECOSTOFQUALITYSHOULDBEMEASUREDASAFUNCTIONOFDEVIATIONFROMTHESTANDARDANDTHELOSSESSHOULDBEMEASURESYSTEMWIDEDRTAGUCHISETUPATHREESTAGEPROCESSTOACHIEVETHEENHANCEMENTOFPRODUCTQUALITYBYDOEBASEDUPONTHECONCEPTSABOVE,NAMELY,SYSTEMDESIGN,PARAMETERDESIGN,ANDTOLERANCEDESIGNFORTHEFIRSTSTAGE,SYSTEMDESIGNISTODETERMINETHESUITABLEWORKINGLEVELSOFDESIGNFACTORSITINCLUDESDESIGNANDTESTOFASYSTEMBASEDONSELECTEDMATERIALS,PARTSANDNOMINALPRODUCT/PROCESSPARAMETERSPARAMETERDESIGNISFORFINDINGTHEFACTORLEVELTHATCANACHIEVETHEBESTPERFORMANCEOFTHEPRODUCT/PROCESSTHELASTSTAGEWHICHISTHETOLERANCEDESIGNISTODECREASETHETOLERANCEOFFACTORSWHICHISSIGNIFICANTLYAFFECTINGTHEPRODUCT/PROCESSASPECIALSETOFARRAYSCALLEDORTHOGONALARRAYSOASWERECONSTRUCTEDTOLAYOUTTHEEXPERIMENTTHEOASIMPLIFYTHEEXPERIMENTDESIGNPROCESSITISDONEBYSELECTINGTHEMOSTSUITABLEOA,ASSIGNINGTHEFACTORSTOTHEAPPROPRIATECOLUMNS,ANDDESCRIBINGTHECOMBINATIONSOFTHEINDIVIDUALEXPERIMENTSCALLEDTHETRIALCONDITIONSINTHISSTUDYAFRACTIONALFACTORIALDOEWASCONDUCTEDINCOMBINATIONWITHTAGUCHIDESIGNCONCEPTSFORQUALITYENHANCEMENT4COLLECTIONOFEXPERIMENTALDATATHEEXPERIMENTWASDESIGNEDANDSETUPASDEFINEDBYSHA,ETAL10THISAIMOFTHISEXPERIMENTISTOANALYSETHEEFFECTSOFSIXFACTORSONTHEACHIEVABLEASPECTRATIOSANDFINDTHEMOSTSIGNIFICANTFACTORSINORDERTOREACHTHEOPTIMALSETTINGSWHICHWOULDGIVETHEHIGHESTASPECTRATIOSFIG2SHOWSTHETESTPARTWITHMICROFEATURESINTHEFORMOFLEGSWITHTWOLEVELOFWIDTHW,200OR500UM,ANDDEPTHD,700OR1100UMWHERETHEFEATURESHAVINGTHESAMEDEPTH,D1ORD2,WEREGROUPEDON1ONESIDEOFTHEPARTTHREEDIFFERENTMATERIALS,NAMELY,SEMICRYSTALLINEPOLYMERSSUCHASPOLYPROPYLENEPP,POLYOXYMETHYLENEPOMANDANAMORPHOUSPOLYMERSUCHASACRYLONITRILEBUTADIENESTYRENEABSWEREINTHISSTUDYTHEPARAMETERSINVESTIGATEDWEREBARRELTEMPERATURETB,MOULDTEMPERATURETM,INJECTIONSPEEDVI,HOLDINGPRESSUREPH,THEEXISTENCEOFAIREVACUATIONVAANDTHEWIDTHWOFMICROLEGSTHEASPECTRATIOS,IETHERATIOSBETWEENTHELENGTHOFTHEMICROFEATUREANDTHEIRDEPTHS,D1ORD2,AREMEASUREDDURINGTHEEXPERIMENTTHEAVERAGEVALUESOF24MEASUREDRESPONSESWITHTHESAMEWANDDTWOPERPARTWHILEAPPLYINGTHEPROCESSSETTINGGIVENINTABLE1AREUSEDINTHISSTUDY5RESULTSANDDATAANALYSISA2LEVELSIXFACTORSFRACTIONALFACTORIALDESIGN262WASAPPLIEDINTHISEXPERIMENTTHEDOEWASUSEDTOIDENTIFYTHEFACTORSTHATWEREACTIVEANDSIGNIFICANTTOSTUDYTHEFILLINGOFMICROCHANNELSTHEPURPOSEOFTHISEXERCISEISTOLOOKATTHERESULTSOFTHEDOERESPONSESINORDERTOUNDERSTANDTHEPROCESSANDSELECTTHESIGNIFICANTFACTORSWITHTHEIRAPPROPRIATESETTINGSWHICHARENECESSARYFOROPTIMALPERFORMANCE51RESULTSTHEMEASUREDEXPERIMENTALRESPONSESFORTHEDOEFORTHERATIOSBETWEENTHELENGTHOFTHEMELTFILLSANDTHEDEPTHOFTHECHANNELS,D1ORD2ARERECORDEDINTABLE2THEVALUEOFD1ANDD2SHOWNONTHETABLEARETHEAVERAGEVALUESOF24MEASUREMENTS52DATAANALYSISTHESTATISTICALSOFTWAREPACKAGE“MINITAB16”WASUSEDTOANALYSETHERESULTSOBTAINEDFROMTHEEXPERIMENTTHERESULTOFTHEANALYSISFORPPFORBOTHTHECASESOFD1ANDD2ISGIVENINTABLE3INTABLE3THE“EFFECT”COLUMNSHOWSTHEPOSITIVEORNEGATIVEEFFECTOFTHEFACTORONTHEMEASUREDRESPONSEHENCETHEHIGHERTHEEFFECTTHEMORESIGNIFICANTTHEFACTORINCONSIDERATIONWILLBETHE“EFFECT”COLUMNDETERMINESTHEFACTORSRELATIVESTRENGTH,THE“PVALUES”DETERMINEWHICHOFTHEFACTORSARESTATISTICALLYSIGNIFICANTINTHISSTUDYTHEVALUESINTHEPCOLUMNOFTHEESTIMATEDEFFECTSANDCOEFFICIENTSTABLEAREUSEDTODETERMINEWHICHOFTHEEFFECTSARESIGNIFICANTTOMAKEADECISIONCONCERNINGWHICHFACTORSARESIGNIFICANT,FURTHERANALYSISISNECESSARYANDTHISWILLBEDISCUSSEDINTHENEXTSECTIONATYPICALVALUEFORTHESIGNIFICANCEWASCHOSENTOBE005THROUGHOUTTHISSTUDY6DISCUSSIONOFRESULTSTHEABOVERESULTSWEREUTILISEDTOPRODUCEMOREEVIDENCETOSUPPORTTHECLAIMSFORSTRONGFACTORSWHICHMATTERTHEMOSTFORTHEMIMPROCESSUSING005,FORPPD1,THEPVALUESFOUNDFORTBIS0038ANDVIIS0009INDICATETHATTHEMAINEFFECTSFROMTHESETWOSINGLEFACTORSTBANDVIARESIGNIFICANT,IETHEIRPVALUESARELESSTHAN005THESETWOSINGLEFACTORSANDTHEIREFFECTSANDOTHERCALCULATEDVALUESAREHIGHLIGHTEDINTABLE3INADDITION,THEABOVERESULTSSHOWTHATNONEOFTHETWOWAYINTERACTIONSARESIGNIFICANTTHISISCLEARLYSHOWNBYTHE“NORMALPLOTOFTHESTANDARDIZEDEFFECTS”FIG3ANDTHE“PARETOCHARTOFTHESTANDARDIZEDEFFECTS”FIG461NORMALEFFECTSPLOTANORMALEFFECTSPLOTISUSEDTOCOMPARETHERELATIVEMAGNITUDEANDTHESTATISTICALSIGNIFICANCEOFBOTHMAINANDINTERACTIONEFFECTSASSHOWNINFIG3,MINITABDRAWSASTRAIGHTLINETOINDICATEWHERETHEPOINTSWOULDBEEXPECTEDTOFALLIFALLEFFECTSWERECLOSETOZEROPOINTSTHATDONOTFALLNEARTHESTRAIGHTLINEUSUALLYSIGNALFACTORSWITHSIGNIFICANTEFFECTSSUCHEFFECTSARELARGERANDGENERALLYGOFURTHERAWAYFROMTHEFITTEDSTRAIGHTLINECOMPAREDTOTHEUNIMPORTANTEFFECTSBYDEFAULT,MINITABUSEA005ANDLABELSANYEFFECTTHATISSIGNIFICANTTHISISSHOWNINFIG3BYCLEARLYMARKEDLABELSFORFACTORSCANDATHEFACTORCHAVINGAMUCHGREATERWEIGHTONTHEMIMPROCESSFORPPD1COMPAREDTOFACTORACANALSOBESEENONTHISGRAPH62PARETOCHARTAPARETOCHARTOFTHEEFFECTSISUSEDTOCOMPARETHERELATIVEMAGNITUDEANDTHESTATISTICALSIGNIFICANCEOFBOTHMAINANDINTERACTIONEFFECTSASSHOWNINFIG4,MINITABPLOTSTHEFACTOREFFECTSINDECREASINGORDEROFTHEABSOLUTEVALUEOFTHEEFFECTSTHEREFERENCELINEONTHECHARTINDICATESWHICHFACTOREFFECTSARESIGNIFICANTWHENYOURMODELCONTAINSANERRORTERM,BYDEFAULT,MINITABUSEA005TODRAWTHEREFERENCELINETHERESULTSINFIG3CONFIRMTHERESULTSDISPLAYEDINFIG4ASFACTORSCANDAARETHEONLYTWOFACTORSTHATHAVEPASSEDTHEREFERENCELINE,ANDFACTORCHAVINGAMUCHLARGEREFFECT63MAINEFFECTSPLOTTHEMAINEFFECTSPLOTSHOWSTHEBASICEFFECTOFCHANGINGTHESIGNIFICANTFACTORSTHESEONEFACTOREFFECTSARECALLEDMAINEFFECTSINTHISPLOTBIGGERMAINEFFECTISDEPICTEDBYALINEWITHSTEEPERSLOPECOMPAREDTOTHEEFFECTSCONTRIBUTEDBYLESSSIGNIFICANTFACTORSTOCALCULATEMAINEFFECTS,MINITABPROCEDURESUBTRACTSTHEMEANRESPONSEATTHELOWORFIRSTLEVELOFTHEFACTORFROMTHEMEANRESPONSEATTHEHIGHORSECONDLEVELOFTHEFACTORITCANBESEENFROMFIG5THATCHANGINGVIFROMLEVEL1TO2HASABIGGERMAINEFFECTTHANCHANGINGTBTHISISDEPICTEDBYALINEWITHSTEEPERSLOPEFORVI64INTERACTIONEFFECTSTHENEXTSTEPINTHEANALYSISISTOLOOKATTHESIGNIFICANTINTERACTIONS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要。在这项研究中，对MIM工艺的理解，它是通过DOE的六个影响表面质量的参数，流动长度和长宽比来优化的。显著单一的工艺参数以及它们之间的相互作用是通过统计分析确定。为2级的试验中，202120的纵横比，分别对应聚丙烯（PP）丙烯腈丁二烯苯乙烯（ABS）和聚甲醛（POM）实现关键词微注射成型（MIM），试验设计（DOE），全因子，部分因子，优化设计的设计第一章引言因为它的大批量生产能力和低元件成本，微注射成型（MIM）是一种在微型制造行业内流行的相对较新的技术。为了使MIM以最小的成本实现最高品质的元件，理解的过程并确定不同的独立参数的影响是很重要的。一种可以采用的调查MIM的整体操作的方法是试验设计（DOE）的设计。在一般情况下，DOE（DOE）可用于收集从每个过程，并通过数据分析获得加工工艺的理解。这个程序可以帮助优化过程，并最终使得质量的提高。本文的结构如下，在MIM工艺在第2节所述，在第3节DOE的介绍，实验数据的收集之后第4节解释，结果和数据分析进行说明在第5节说明。结果的讨论，在第6节提出，最后在第7节给出结论的文件结束。221282712013的作者。由ELSEVIERBV公司负责出版，罗伯托特提教授同行评议DOI101016/JPROCIR201309052第二章微注射成型（MIM）微注射成型1是在制造世界一个相对较新的技术，因此，它需要被深入研究调查。据LIU等人2进行微粉末注射成型，因为它在许多不同的领域，例如医学，光学和电信，成功的应用，使得微系统技术被广泛使用在新的21世纪，。带有大批量生产能力和低元件成本，使得MIM技术是进行微制造中的一个关键生产工序。MIM的组件分为以下两个类别之一A型外形尺寸小于1MM；B型微特征小于200。由SHA等人3在美国DOE进行初步工作和MIM的数据分析，主要集中在5个不同的受三个不同的聚合物材料可达到的高宽比影响的因素（熔体和模具温度，注射速度，压力和流动状态）的分析。本实验纵横比是一个特殊设计的微特征，其为较长尺寸与较短尺寸的的比率。他们的研究结论是，熔体温度（TB）和注射速度（六）是受在复制所有三种聚合物材料的微观特性中可达到的长宽比的影响的关键因素。由GRIFFITHS等人4进行的MIM工具的表面质量效果主要集中于影响熔体流动和模具表面之间的流动行为，并相互作用的因素。这些早期的调查结果都考虑到了这项研究。图1示出了MIM型机的画面。DOE的规划和数据分析使用的统计软件包“MINITAB16”进行。图1微型注塑机5第三章设计实验（DOE）在实验中定义和调查所有可能的条件涉及多重因素的技术被称为实验的设计。这两种DOE类型被广泛采用是析因设计与田口方法。根据实验MINITAB的设计6，析因设计是一种设计的实验，允许同时影响研究，一些因素可能对产生同一个影响结果。当进行实验，不同的所有因素的水平同步，而不是一次一个，允许相互作用的因子的研究。在全面析因实验，响应于实验因子水平的所有组合计算。因子水平的组合代表了在响应将被测量的条件。每个实验条件称为运行和响应测量观察。整组运行的是“设计”。为了最大限度地减少时间和成本，因此能够排除一些因子水平的组合。因子设计中，一个或多个电平组合被排除被称为部分因子设计。有用的部分因子设计的因素中筛选出来，因为它们减少运行次数以达到可管理的大小。被执行的运行是一个选择的子集或完全析因设计的一小部分。但ROY7提到，使用全因子和部分因子能源部可能会导致以下问题实验在成本和时间变量的数目是大的而变得笨拙两种设计为相同的实验可能会产生不同的结果这些设计通常不允许确定各因素的贡献实验用的大量因素的解释可能是相当困难的。因此，田口方法，以克服这些问题被开发了。田口方法是定义和调查所有可能的条件中涉及到多个因素的实验技术。田口方法首先由田口玄一博士在第二次世界大战8，9后提出。他想出了三个基本概念71、质量应该设计到产品中，而不是检查了进去。2、质量最好通过最小化从一个目标的偏差来实现。本产品应设计成使得它是免疫不可控的环境因素。3、质量成本应作为衡量偏离标准的函数和损失应该是衡量整个系统的函数。田口博士建立了一个三阶段的过程，实现产品质量的依据上述概念的增强DOE，即系统设计，参数设计和容差设计。在第一阶段，系统设计是确定的设计因素的合适的工作水平。它包括设计，并根据选定的材料，零件和标称产品/工艺参数的系统测试。参数设计是一个寻找可以实现产品/过程的最佳性能的因子水平。公差设计的最后阶段是降低其显著影响产品/工艺因素的耐受性。构建一组特殊的阵列称为正交阵列（OAS）奠定了实验。在OA简化了实验设计过程。它是通过选择最合适的OA完成的，分配的因素、以适当的列并描述称为试验条件的个别实验的组合。在这项研究中，一个部分因子DOE与TAGUCH的设计理念为提高质量相结合进行。第四章实验数据收集该实验由沙等人10所定义的来设计和设置。该实验的目的是分析六个可实现的高宽比的因素影响，并找到最显著因素，以达到给予最高的长宽比的最佳的设置。图2示出了测试微特征的一部分和腿具的有两个水平宽度（W），200或500微米，和深度（D），70（D1）或100（D2）微米的形式，其中具有相同深度的特征，D1或D2，分别组成上部分的一侧上。图2能源部测试部分三种不同的材料，即，半结晶聚合物，如聚丙烯（PP），聚甲醛（POM）和无定形聚合物，如丙烯腈丁二烯苯乙烯（ABS）是在本研究中。调查的参数为料筒温度（TB），模具温度（TM），注射速度（V），保压压力（PH），空气疏散（VA）的存在和微腿宽度（W）。纵横比，即，微特征和它们的深度的长度之间的比率，D1或D2，是在实验过程中测定。具有相同的W和D（2每部分），同时施加于表1中给出的过程设置，24次的测量的响应的平均值被用于本研究。表12DOE二级MIM工艺参数MIM工艺参数和DOE水平聚合物级别铽（C）（CM）（毫米/秒W（微米）12003550NONO250PP222550100YESYES50011803550NONO250POM220060100YESYES50012486050NONO250ABS225875100YESYES500第五章实验结果与数据分析在这个实验中应用一个2级六个因素部分因子设计（262）。DOE被用来确定处于活动状态的显著因素，并研究微流道的填充因子。这个练习的目的是看DOE响应的结果以了解该过程，然后选择显著因素及其达最佳性能所必需的相应的设置。51、结果这是DOE测定实验熔体填充的长度和通道的深度之间的比率的的反应，或被记录在表2中。和上表中所示的值是24次测量的平均值的值。D12D12表2为2级MIM工艺参数的实验结果M