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外文翻译--关于新型并联雕刻机的研究及其关键技术【优秀】.doc

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外文翻译--关于新型并联雕刻机的研究及其关键技术【优秀】.doc

英文原文RESEARCHONANOVELPARALLELENGRAVINGMACHINEANDITSKEYTECHNOLOGIESABSTRACTINORDERTOCOMPENSATETHEDISADVANTAGESOFCONVENTIONALENGRAVINGMACHINEANDEXERTTHEADVANTAGESOFPARALLELMECHANISM,ANOVELPARALLELENGRAVINGMACHINEISPRESENTEDANDSOMEKEYTECHNOLOGIESARESTUDIEDINTHISPAPERMECHANISMPERFORMANCESAREANALYZEDINTERMSOFTHEFIRSTANDTHESECONDORDERINFLUENCECOEFFICIENTMATRIXFIRSTLYSOTHESIZESOFMECHANISM,WHICHAREBETTERFORALLTHEPERFORMANCEINDICESOFBOTHKINEMATICSANDDYNAMICS,CANBECONFIRMEDANDTHERESTRICTIONDUETOCONSIDERINGONLYTHEFIRSTORDERINFLUENCECOEFFICIENTMATRIXINTHEPASTISBROKENTHROUGHTHEREFORE,THETHEORYBASISFORDESIGNINGTHEMECHANISMSIZEOFNOVELENGRAVINGMACHINEWITHBETTERPERFORMANCESISPROVIDEDINADDITION,METHODFORTOOLPATHPLANNINGANDCONTROLTECHNOLOGYFORENGRAVINGFORCEISALSOSTUDIEDINTHEPAPERTHEPROPOSEDALGORITHMFORTOOLPATHPLANNINGONCURVEDSURFACECANBEAPPLIEDTOARBITRARYSPACIALCURVEDSURFACEINTHEORY,CONTROLTECHNOLOGYFORENGRAVINGFORCEBASEDONFUZZYNEURALNETWORKFNNHASWELLADAPTABILITYTOTHECHANGINGENVIRONMENTRESEARCHONTELEOPERATIONFORPARALLELENGRAVINGMACHINEBASEDONB/SARCHITECTURERESOLVESTHEKEYPROBLEMSSUCHASCONTROLMODE,SHARINGMECHANISMFORMULTIUSER,REALTIMECONTROLFORENGRAVINGJOBANDREALTIMETRANSMISSIONFORVIDEOINFORMATIONSIMULATIONRESULTSFURTHERSHOWTHEFEASIBILITYANDVALIDITYOFTHEPROPOSEDMETHODSKEYWORDSPARALLELMECHANISM,ENGRAVINGMACHINE,INFLUENCECOEFFICIENT,PERFORMANCEINDICES,TOOLPATHPLANNING,FORCECONTROL,FUZZYNEURALNETWORK,TELEOPERATION1INTRODUCTIONCONVENTIONALCOMPUTERENGRAVINGMACHINEHASPLAYEDANIMPORTANTROLEININDUSTRIESSUCHASMACHINERYMACHINING,PRINTINGANDDYEINGANDENTERTAINMENT,BUTITHASTHEINHERENTDISADVANTAGESSUCHASCUTTINGTOOLCANBEFEDONLYALONGTHEFIXEDGUIDEWAY,LOWERDEGREEOFFREEDOMDOFOFCUTTINGTOOL,LOWERFLEXIBILITYANDMOBILITYFORMACHININGETCPARALLELMECHANISMHASTHEMERITSSUCHASHIGHMECHANICALSTIFFNESS,HIGHLOADCAPACITY,HIGHPRECISION,GOODDYNAMICPERFORMANCEETCZHEN,H;LINGFU,KYUEFA,F,1997ACCORDINGTOTHECHARACTERISTICSOFPARALLELMECHANISM,ITHASBEENAHOTRESEARCHTOPICTOAPPLYPARALLELMECHANISMTOTHEDOMAINOFFUTUREMACHININGBYAPPLYINGPARALLELMECHANISMTOENGRAVINGDOMAIN,ITSINHERENTADVANTAGESCANBEFULLYEXERTEDANDTHEDISADVANTAGESOFCONVENTIONALENGRAVINGMACHINECANBEOVERCOMEORCOMPENSATEDBUTASTHESPECIALSTRUCTUREOFPARALLELMECHANISM,THERELATEDTHEORYANDTECHNOLOGYDURINGITSENGRAVINGISVERYDIFFERENTFROMTHATOFCONVENTIONALENGRAVINGMACHINE,ANDITISAUNDEVELOPEDRESEARCHTOPICBYNOWINADDITION,WITHTHEDEVELOPMENTOFCOMPUTERNETWORKTECHNOLOGY,THENEWCONCEPTANDMETHODSUCHASNETWORKMACHININGANDMANUFACTURINGHASBECOMEHOTRESEARCHTOPICGQ,HUANGKL,,MAK,2001;TAYLOR,KDALTON,B,2000;YINGXUE,YYONG,L,1999ANOVELPARALLELENGRAVINGMACHINEWITHSIXAXISLINKAGEISPROPOSEDINTHISPAPER,WHICHUSESTHE6PUSPARALLELMECHANISMWITH6DOFASTHEPROTOTYPE,ANDSOMEKEYTECHNOLOGIESSUCHASSIZEDESIGN,TOOLPATHPLANNING,ENGRAVINGFORCECONTROLANDTELEOPERATIONARESTUDIEDONTHISBASIS2CONFIRMINGOFMECHANISMTYPEANDENGRAVINGMACHINESSIZE21SELECTIONOFMECHANISMANDCOORDINATESYSTEMTHESELECTIONOFMECHANISMTYPEISTHEFIRSTSTEPFORDESIGNINGNOVELENGRAVINGMACHINE,THEFOLLOWINGREASONSMAKEUSSELECTTHE6PUSPARALLELMECHANISMFORDESIGNINGOURENGRAVINGMACHINECOMPARINGWITHTRADITIONALMECHANISM,6PUSPARALLELMECHANISMUSESBASEPLATFORM,THREEUPRIGHTSLAYOUTANDHIGHRIGIDITYFRAMEWORKSTRUCTUREANDHASTHEMERITSSUCHASHIGHMODULARIZATION,HIGHACCURACYANDLOWCOSTITSMODELISSHOWNINFIG1FIG1THEMODELOF6PUSPARALLELMECHANISMASSHOWNINFIG1,6PUSPARALLELMECHANISMCONSISTSOFBASEPLATFORM,DYNAMICPLATFORMAND6BRANCHCHAINSWITHSAMESTRUCTURE,EVERYBRANCHJOINSWITHBASEPLATFORMTHROUGHPRISMATICPAIRSP,SLIDEROFPRISMATICPAIRSJOINSWITHUPENDOFTHEFIXEDLENGTHLINKTHROUGHUNIVERSALJOINTU,DOWNENDOFTHEFIXEDLENGTHLINKJOINSWITHDYNAMICPLATFORMTHROUGHSPHEREHINGES,SOITISCALLED6PUSPARALLELMECHANISMTHECOORDINATESYSTEMOF6PUSPARALLELENGRAVINGMECHANISMISSHOWNINFIG2INFIG2,THEGEOMETRYCENTERSOFBASEPLATFORMANDDYNAMICPLATFORMPLANEARESUPPOSEDASOBANDOPRESPECTIVELYINEVERYBRANCH,THECENTERSOFPRISMATICPAIRS,UNIVERSALJOINTANDSPHEREHINGEAREMARKEDWITHAI,BI,,ANDCII1,2,,6RESPECTIVELYCOORDINATESYSTEMOBXBYBZBISFIXEDONBASEPLATFORM,TAKING{B}ASBRIEFLYTHEORIGINOF{B}LIESONGEOMETRYCENTEROFBASEPLATFORMSUPPLANE,AXISZBISVERTICALWITHBASEPLATFORMANDDIRECTSTOUP,AXISYBDIRECTSTOANGLEBISECTOROFTHEFIRSTANDSECONDBRANCHLEADSCREWCENTERLINE,ANDAXISXBCANBEDETERMINEDWITHRIGHTHANDRULESUPPOSINGTHECOORDINATESYSTEMSETONDYNAMICPLATFORMISOPXPYPZP,TAKING{P}ASBRIEFLY,ITSORIGINLIESONGEOMETRYCENTEROFDYNAMICPLATFORM,THEINITIALSTATEOFDYNAMICPLATFORMSYSTEMISCONSISTENTWITHTHATOFBASEPLATFORMSYSTEMCOMPLETELYSUPPOSINGTHECOORDINATEOFOPIS0,0,ZIN{B},THISCONFIGURATIONWITHOUTRELATIVEROTATIONTOEVERYAXISISTHEINITIALCONFIGURATIONOFTHISMECHANISM,ANDZCHANGINGWITHMECHANISMSSIZEONTHEBASISOFCOORDINATESYSTEMMENTIONED,WEUSEINFLUENCECOEFFICIENTTHEORYANDTHEACTUALPARAMETERSOFTHISMECHANISMTOCALCULATETHEFIRSTANDTHESECONDORDERINFLUENCECOEFFICIENTMATRIXOFEVERYBRANCHUNDERDIFFERENTCONFIGURATIONTHEN,WECANGETTHEFIRSTANDTHESECONDORDERINTEGRATEDINFLUENCECOEFFICIENTMATRIXHOFTHEWHOLEMECHANISM和THESIGNIFICANCEANDDETAILEDSOLUTIONPROCESSFORINFLUENCECOEFFICIENTMATRIXISOMITTEDHERE,FORMOREINFORMATIONPLEASEREFERZHEN,H;LINGFU,KYUEFA,F,1997FIG2COORDINATESYSTEMOF6PUSPARALLELENGRAVINGMECHANISM22MECHANISMPERFORMANCEANALYSISBASEDONINFLUENCECOEFFICIENTMATRIXTHEPERFORMANCEOFENGRAVINGMACHINEWILLCHANGEWITHITSSIZETOFINDOUTTHEBETTERSIZEFORALLTHEPERFORMANCEINDICESOFBOTHKINEMATICSANDDYNAMICS,WEOBTAINAGROUPOFMECHANISMSBYCHANGINGITSPARAMETERSTHESEMECHANISMSLENGTHOFFIXEDLENGTHLINKSLRANGEBETWEEN45CMAND55CMSTEPIS1CM,RADIUSOFDYNAMICPLATFORMRRANGEBETWEEN10CMAND20CMSTEPIS1CMOTHERPARAMETERSOFTHEMECHANISMISUNCHANGING,SOWEGET121MECHANISMSTOTALLYTAKINGTHESEMECHANISMSASRESEARCHOBJECT,WECONFIRMTHESAMPLEPOINTFOREVERYMECHANISMINITSWORKSPACEWITHALGORITHMPERFORMANCEANALYSIS,THENCALCULATETHEFIRSTANDTHESECONDORDERINFLUENCECOEFFICIENTMATRIXINEVERYPOINTFURTHERMORE,CALCULATEALLTHEPERFORMANCEINDICESINEVERYSAMPLEPOINTANDDRAWALLTHEGLOBALPERFORMANCEATLASOF121MECHANISMSULTIMATELYTODESCRIBECONVENIENTLY,WEABBREVIATETHEFIRSTANDTHESECONDORDERINTEGRATEDINFLUENCECOEFFICIENTMATRIXHQTOGANDH,ANDUSEGΩ,HΩANDGΥ,HΥASTHEANGULARVELOCITYSUBMATRIXANDLINEARVELOCITYSUBMATRIXOFTHEFIRSTANDTHESECONDORDERINTEGRATEDINFLUENCECOEFFICIENTMATRIXRESPECTIVELY,NAMELY,WECANCHANGEMECHANISMSPARAMETERSANDADJUSTVARIABLESSTEPINTHEALGORITHMPERFORMANCEANALYSISTOMEETACTUALANALYSISTHEALGORITHMISPROGRAMMEDWITHMATLABANDTHEGLOBALPERFORMANCEATLASOF6PUSMECHANISMAREDRAWNSEEFIG3TOFIG8,THENTHEMECHANISMSPERFORMANCEISANALYZEDUSINGTHEATLASTABLE1SHOWSTHERESULTSOFSAMPLEPOINTNUMBERABBRTOSPNFOR121MECHANISMSRESPECTIVELY,THEFIXEDLINKLENGTHOFMECHANISMWITHSEQUENCENUMBERABBRTOSN1IS45CM,ITSRADIUSOFDYNAMICPLATFORMIS10CM,THEFIXEDLINKLENGTHOFMECHANISMWITHSN121IS55CM,ITSRADIUMOFDYNAMICPLATFORMIS20CM,THERESTMAYBEDEDUCEDBYANALOGYINADDITION,TABLE2GIVESTHEPERFORMANCEINDICESOFSOMEMECHANISMONLY,WHERETHEMEANOFSNISSAMEASINTABLE1DESCRIPTIONFORALGORITHMPERFORMANCEANALYSISPERFORMANCEANALYSISBEGINFORL45TO55//SCOPEOFFIXEDLENGTHLINKFORR10TO20//SCOPEOFRADIUSOFDYNAMICPLATFORMSAMPLEPOINTNUMBER0;//INITIALIZATIONSAMPLEPOINTNUMBERISZEROFOREVERYMECHANISMFORXMAXIMUMTOMAXIMUMMOVINGALONGAXISXSTEP4CMFORYMAXIMUMTOMAXIMUMMOVINGALONGAXISYSTEP4CMFORZMAXIMUMTOMAXIMUMMOVINGALONGAXISZSTEP4CMFORΑMAXIMUMTOMAXIMUMROTATINGAROUNDAXISXSTEP12FORΒMAXIMUMTOMAXIMUMROTATINGAROUNDAXISYSTEP12FORΓMAXIMUMTOMAXIMUMROTATINGAROUNDAXISZSTEP12IFSAMPLEPOINTX,Y,Z,Α,Β,ΓREACHABLEPOINTOFMECHANISMSWORKSPACECALCULATINGTHEFIRSTORDERINFLUENCECOEFFICIENTMATRIXANDITSFROBENIUSNORMATCURRENTPOINT;IFTHEFIRSTORDERINFLUENCECOEFFICIENTMATRIXISNOTSINGULARSAMPLEPOINTNUMBERSAMPLEPOINTNUMBER1;CALCULATINGTHESECONDORDERINFLUENCECOEFFICIENTMATRIXANDITSFROBENIUSNORMCALCULATINGCONDITIONNUMBERATTHISPOINTWITHFORMULAANDACCUMULATINGSUMOFPERFORMANCEINDICES;//DETAILEDFORMULAISGIVENINTHEFOLLOWINGOFTHISSECTIONENDIFENDIFENDFORENDFORENDFOR

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