刀具状态监测系统高速车削振动应变分析外文翻译.docx
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刀具状态监测系统高速车削振动应变分析外文翻译.docx
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刀具状态监测系统高速车削振动应变分析外文翻译
文献信息:
文献标题:
Developmentofacuttingtoolconditionmonitoringsystemforhighspeedturningoperationbyvibrationandstrainanalysis(刀具状态监测系统高速车削振动应变分析)
国外作者:
H.Chelladurai,V.K.Jain,N.S.Vyas
文献出处:
《TheInternationalJournalofAdvancedManufacturingTechnology》,2008,37(37):
471-485
字数统计:
英文2186单词,11662字符;中文3552汉字
外文文献:
Developmentofacuttingtoolconditionmonitoringsystemforhighspeedturningoperationbyvibrationandstrainanalysis
1Introduction
Inthelastthreedecadesorso,therehavebeentremendousimprovementsandtechnicalrevolutionsinmanufacturingindustries,namelycomputerintegratedmanufacturingprocess,robotcontrolledmachiningprocesses,andothers.Todaycustomerdemandshighqualityproductsforlowestpossibleprice.Tomeetcustomers’suchdemandsandtofaceglobalcompetition,modernindustriesarefacingvariouschallengestowardsachievinghighdimensionalaccuracywithmirrorsurfacefinishontheproducts.Toachievesuchgoalsthemanufacturersarefocusingonthetechnicalproblemsnamely,howtoachieveuninterruptedautomatedmachiningprocessforlongerdurationwithleasthumansupervision.Cuttingtoolwearconditionmonitoringisanimportanttechniquethatcanbeusefulespeciallyinautomatedcuttingprocessesandunmannedfactoriestopreventanydamagetothemachinetoolandworkpiece.Inanymetalcuttingoperation,oneofthemajorhurdlesinrealizingitscompleteautomationisthatofthecuttingtoolstateprediction,wheretool-wearisacriticalfactorinproductivity.Cuttingtoolconditionmonitoringcanhelpinon-linerealizationofthetoolwear,toolbreakage,andworkpiecesurfaceroughness.
Researchersandengineershavebeentryingtoevolveacuttingtoolconditionmonitoringsystemwithhighreliability.Thereisaneedforreliable,universalcuttingtoolconditionmonitoring(TCM)system,whichissuitableforindustrialapplications.Varioussensingtechniqueshavebeenreportedintheliteraturebyvariousinvestigatorswhichdealwiththeissuesofdetectingedgechipping,fracture,toolwearandsurfacefinish.Manysensorswereadoptedintheareaofmetalcuttingtoolconditionmonitoringsystemnamely,touchsensors,powersensors,acousticemissionsensors,vibrationsensors,torquesensors,forcesensors,visionsensorsandsoon.Inanyautomationprocess,sensorsandtheirsignalinterpretationplayanimportantrole.Theprocessingandanalysisofsignalsisimportantbecauseitwillimproveproductioncapacity,reliability,reduceddowntimeandimprovedmachiningquality.Sensorsandtheirutilizationwereimplementedinmanyareaslikemachinetool,automotive,andtoolmanufacturing.Byrneetal.reportedthat46%ofthesensorsmonitoringsystemswerefullyfunctional,16%hadlimitedfunctionality,25%ofthesystemswerenon-functionalduetotechnicallimitationsand13%werereplacedbyorswitchovertoalternatesystems.Itshouldbenotedthat,insensorsbasedsystemsthemostcriticaldecisionispredictionofcuttingtoolconditionusingsignalresponse.Inmanycaseswronginterpretationofthesensorsignalsbyanoperatorleadstothewrongdecisiontoswitchoffthemachinetoolwhichaffectsthequalityoftheproductaswellasproductionrate.Thetrainingofthepersonnelalsoplaysavitalroleinsuccessfulimplementationoftoolconditionmonitoringsystems.
Generally,machiningprocessesarenon-linearandstochasticinnature,anditisdifficulttobuildamathematicalmodel,whichrequiressuitableassumptionsandmaynotbematchingwithrealworldmetalcuttingprocess.AnintensiveresearchhasbeencarriedoutrelatedtoTCMsystemcoveringvariousmetalcuttingprocessessuchasturning,milling,drillingandgrinding,overthepasttwodecadesorso.Agoodcuttingtoolconditionmonitoringsystemshouldbecharacterizedby(a)fastdetectionofimpactorcollisions,(i.e.,unwantedmovementbetweentoolandworkpiece,ortoolandanyothercomponentofthemachinetool),(b)toolchipping(cuttingedgebreakage),and(c)gradualtoolwear(craterandflank)causedbyabrasionduetofrictionbetweencuttingtoolandworkpiece(flankwear)andcuttingtoolandchip(craterwear).
Toolwearsensingtechniquesarebroadlyclassifiedintotwocategories:
directandindirectasshowninTable1.Thedirecttoolwearmonitoringmethodscanbeappliedwhencuttingtoolsarenotincontactwiththeworkpiecelikeradioactive,microscope,cameravisionandsoon.However,directmethodsofmeasuringtoolwearhavenotbeeneasilyadaptableforshopfloorapplication.Theyarenotsuitableforon-lineconditionmonitoringsystemhowevertheycanbeeasilyappliedtooff-linemeasurementsanditconsumesmoretime.Indirecttoolsensingmethodsuserelationshipbetweencuttingconditionsandresponseofmachiningprocesswhichisameasurablequantitythroughsensorsignalsoutput(suchasforce,acousticemission,vibration,orcurrent)andmaybeusedtopredicttheconditionofthecuttingtool.Theseindirectmethodsareusedextensivelybyvariousresearchersandthedetailedanalyseshavebeencarriedoutinthepasttwodecades.Theseindirectmethodscanbeimplementedtoanindustrialproblem,buttheyhavealowersensitivitycomparedtodirectmethods.Nowadays,availabilityofcomputationalpowerandreliabilityofelectronicshelpinthedevelopmentofareliableconditionmonitoringsystembyusingindirectmethods.However,aprobleminTCMsystemisselectionofpropersensoranditslocation.Thesensorshavetobeplacedascloseaspossibletothetargetlocation(closetothetooltip)beingmonitored.
ItisinterestingtonotethatanindirectTCMsystemconsistsoffoursteps:
(i)collectionofdataintermsofsignalsfromsensorssuchascuttingforce,vibration,temperature,acousticemissionand/ormotorcurrent,(ii)extractionoffeaturesfromthesignals,(iii)classificationorestimationoftoolwearusingpatternrecognition,fuzzylogic,neuralnetworks,orregressionanalysis,and(iv)developmentofanadaptivesystemtocontrolthemachiningprocessbasedoninformationfromthesensors.
Therehavebeenmanyinvestigationsontoolwearbasedonperiodicmeasurementsofwearlevelsusingopticalmicroscope.Inthepresentstudy,artificialwearhasbeencreated(externally)usingelectricdischargemachining(EDM)processinacontrolledmanner.Thisissimilartoarealflankwearexperiencedbythetoolduringmachiningprocess.Usingthis(artificiallyworn)cuttingtool,cuttingexperimentsareperformedandsignalsarecaptured.Thispaperaimstodevelopasystematicfeatureextractionprocedurefromtheoutputresponses(accelerometersandstraingauges)ofamachiningprocess.Thesefeaturesarethenfedasinputstothebackpropagationfeedforwardneuralnetworks,forclassificationorestimationoftoolwear.Sameexperimentaldatawerefedasinputstotheanalysisofvariance(ANOVA)totestthelevelofsignificance.Theregressionempiricalmodelshavebeendevelopedandvalidatedwithexperimentalresults.
2Creationofartificialwear
Thecuttingtoolfailurecanbeclassifiedintotwocategories:
(a)gradualwearduetolossofmaterialonanasperityormicrocontactbetweencuttingtoolandworkpiecewhichcausesfrictionandleadstotoolfailureafteracertaintimeinterval,and(b)prematurecuttingedgefailureduetochippingwhichoccurssuddenlyduetoimproperselectionofmachiningparametersortoolmaterialdefect,orboth.Ifacuttingtoolapproachestowardstheendofitsusefullife,surfacequalityofthemachinedworkpieceislikelytodeteriorate.Characteristicsofthesurfacetopographyofamachinedworkpiecedependontheconditionofthecuttingtoolincludingtoolgeometry,cuttingtoolmaterial,workpiecematerial,cuttingconditions(withorwithoutcooling)andmachiningparameters(cuttingspeed,feedrateanddepthofcut).Ingeneral,thesinglepointturningtoolissubjectedtodifferenttypesofwearsuchasflankwear,craterwear,nosewearandchipping.Outofthesewears,flankwearisconsideredinthepresentworkalthoughothersareequallyimportantunderdifferentmachiningconditions.Whilecreatingartificialflankwear,thefollowingimportantcuttingtoolgeometricalparametersaretakenintoconsiderationlikerakeangle,clearanceangle,lengthoftheflankwearandradialwearlength.
Fig.1Flankwearforms
Therelationbetweenflankwearandradialwearisgiven(Fig.1)by
(1)
where,
isradialwear,
isflankwear,
isclearanceangleand
israkeangle.
AccordingtoEq.
(1),thevalueofdepthofcut(
)andradialdistance(
)arecalculatedtocreateflankwearintherangeof0.2mmto0.5mm.EDMexperimentalsetupisusedtocreateartificialflankwear.ThereplicaoftheflankwearisfirstproducedinthecopperrodbyturningoperationandthenthecopperrodisusedintheEDMprocessasatool(cathode)toreplicatetheflankwearonthecuttingtool.DuringEDM,thetungstencarbidecuttingtool(usedasaworkpieceinEDMoperation)ismadeasananode.MachiningparametersvaluesarechosenintermsoffeedrateaswellasdepthofcuttocreateexactshapeofflankwearasshowninFig.2.Themeasurementofwearcanbecarriedoutusingoneofthethreecategoriesofsensors,namelyproximitysensors,radioactivesensorsandvisionsensors.Mostoftheresearchersuseanopticalmicroscopetodeterminewornoutareas,likeflankwearlengthandcraterwearlength.
Inthisstudy,opticalUSBportmicroscope(Scalar)isusedtocapturetheimageofwornoutareawithmagnificationfactorof50x.Beforemeasurements,insertismountedonastand,madeofPerspexhavingincludedangleof55°asshowninFig.3.Itc
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