机器模具加工测量系统 英语翻译.docx
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机器模具加工测量系统 英语翻译.docx
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机器模具加工测量系统英语翻译
AWeb-·basedon-·machinemouldmatchingandmeasurementsystembasedonCAD/CAM/CAIintegration
一个基于在·用机器制造配比的模子和根据CAD/CAM/CAI综合化的测量系统
Abstract:
ThepurposeofthisstudyistodevelopaWeb—basedon—machinemouldidentificationandmeasurementsystem.TheWeb—basedmouldidentificationsystemmatchesobtainedvisioninformationwithCADdatabase.DevelopedWeb.basedsystemistoexchangemessagesbetweenaserverandaclientbymakingofActiveXcontro1.andtheresultofmouldidentificationisshownonWeb—browseratremotesite.Foreffectivefeatureclassificationandextraction.thesignaturemethodisusedtomakemeaningfulinformationfromobtainedimagedata.Foron—machinemeasurementofthematchedmould.inspectiondatabaseisconstructedfromCADdatabaseusingdevelopedinspectionplanningmethods.Theresultsaresimulatedandanalyzedusingdevelopedsystemtoverifytheeffectivenessoftheproposedmethods.
Keywords:
E—manufacturing,CAD/CAM/CAIintegration,On—machinemeasurement,Mouldidentification,Visionsystem
doi:
10.1631/jzus.2006.A1474Documentcode:
ACLCnumber:
TP202
INTRODUCTION
Today,themanufacturingindustrymakesconstantefortinordertoconstructanE—manufacturingsystemusinginformationtechnologyforeffectiveproductioncontrol,andthen,itofferstheintegratedproductioncontroltotheworkers,theproductionmanagers,andtheconsumers,etc.(Lee,2003;Choi,2004).Inthemouldmanufacturingindustry,theprocessmanagersoftenrequestpaperworktoknowtheinformationoftheprocessesonCNCmachinetoolsortheyvisittheshopfloor(Choetal.,2003).Thoseineffectiveactivitiescausetheworker’scomplain,thedelayoftheprocesses,andthequalityproblems.Eventhepointofproductioncontrolusingthebarcodetechniquealsoburdenstheworkerontheshopfloor.Muto(2003)proposedtheproductioncontrolsystembyinstallingcamerasontheshopfloor,but,itonlyshowsthemachiningstatusofmachinetool.Thedetailedinformationcannotbeacquiredbyhismethod.Thoughthereverseengineeringsystemusing3Dvisioninformationcanbeusedforthepurpose,theamountofitsdatageneratedistoomuchtobedealtwithinarealtimeWeb-basedsystem(Choetal.,2000;Choi,2003)
Inthedevelopedsystemofthisresearch,aWebcameramonitorstheprocessingandtakesanimageofamachinedmould,featuresarerecognizedfromtheimage,andtheyarematchedwiththefeatureswhichareacquiredinCADdatabase,then,amouldcanbeidentified.Usingthesystem,themouldanditsprocessinginformationcanbesharedwithworkers。
Themoreappropriatedecisionmakingbythecontrolmanagerispossiblefortheeffectiveproduction,andtheremotecustomermonitorstheorderedmouldpartsvisuallythroughtheWeb.
Aftermouldidentificationprocessisperformed.On-machinemeasurementforthemouldcanbeperformedtochecktheaccuracyofthemachinedpartsbyrequestfromtheremotesite.Forthispurpose,inspectionplanningdatabaseisconstructedforeachmouldfromCADdatabase.
Eachfeatureisdecomposedintoitsconstituentgeometricelementssuchasplane,circle,etc.Then,aseriesoftasksareprocessedsuchasf11suitablenumberofmeasuringpoints,
(2)theirlocations,and(3)optimumprobingpath,tominimizemeasuringerrorsandtimes.Finally,theproposedmethodsaresimulatedusingdevelopedsystemtoverifytheireffectivenessinrealprocess.Fig.1illustratestheproposedsysteminthisresearch.
FEATURECLASSIFICAIT0NANDDATABASEC0NSTRUCTION
Databaseformouldmatching
Thedevelopedsysteminthisresearchconstructsadatabaseforthe3DCADmodelandmatchesthefeatureinformationfromvisualimagewiththedatabase.Thevisualimagerepresentsthetopviewfromtheorthogonaldirectiononthepartitionedsurfaceofthemouldcavity.ThedatabaseiscomprisedofthetopviewsoftheCADdatafilesofthemouldcavities.ThegeometricalobjectinformationisextractedusingUGAPI.anditisstoredinadatabaseaccordingtothepredefinedfeaturestandards.ThestandardfeatureshavetobesimplydefinedgeometricallyinvisualimagesandacquiredinaCADdatafileconveniently.ThestructureisrepresentedinFig.2.Theinformationofitsarea,perimeterandthecoordinatesofthecenterareusedinordertodifferentiateeachgeometricobjectinfeature.
ThestructureofthedatabaseisconstructedasanMDB(ManufacturingDatabase)inFig.3.ItconsistsofamainDBanditssub—DBscorespondingtomouldsrespectively.ThetypesofthefeatureandtheirnumbersarestoredinthemainDB.Ifthecombinationofthefeaturesofamouldisverydifierentfromthatofthetargetmould.itwouldbeignored.Thesub—DBsconsistoftheinformationofthearea.perimeterandthecoordinatesofthecenter,andareusedtomatchthecandidatemouldsselectedusingthemainDBwiththetargetmould.ThematchingprocesswiththefeatureinformationfromthevisualimageisperformedusingSQL.
DatabaseforOMM
ForthemeasuringprocessusingOMM,atouch—typeprobeisgenerallyused,whichperformspoint·-to·-pointmotionstogetdimensionaldataofthetargetsurface,usuallyonepointatatime(ChoandSeo,2002).Althoughthetargetworkpieceisverycomplicatedandhasmanymachiningfeatures.itiscomposedofmanygeometricprimitivessuchasplanes,cylinders,andsculpturedsurfaces,etc.AsshowninFig.4(ChoandKim,1995;Choeta1.,1995;Mantylaeta1.,1994;Rogers,1994).Also,whenusingatouchtypeprobe,theproberepeatsidenticalpoint-to-pointmotionstogetpointdataoftheprimitives。
Thegeometrictoleranceevaluation,suchasparallelism,squareness,etc.,canbedeterminedbymanipulatingtheobtainedpointdataset.Thus,itisnecessarytodecomposethefeaturesintoeasy-to-handleprimitivesforeffectiveinspectionplanning(ChangandWysk,1985)
AsshowninFig.5.thefeaturedecompositionprocedureiscomposedoftwosteps:
decompositioninto
(1)inspectionfeaturesand
(2)primitivesforlocalinspectionplanning.Inthefirststepofthedecompositionintoinspectionfeatures.theobjectisdecom.posedintothefeaturesforinspectionsuchaspockets.planesandislands,etc.(Fig.5a).Inthisstep,thedecomposedfeaturesareverysimilartomachiningfeatures.AsshowninFig.5b.thefeaturesobtainedformthefirststepcanbedecomposedintothegeometricprimitivessuchasplanes,cylinders,etc.Sincetheinspectionprocessusing0MMwithatouch-type
probeperformspoint·-to·-pointmotionstogetthedimensionaldataofthetargetsurface.suchdecompositionprocessmakesiteasiertobuildaninspectionplanforcomplicatedobjects.
M0ULDIDENTIFICAT10NSYSTEM
Web-basedmatchingsystem
AWebserverandclientsystemisconstructedforthisresearch.andthesocketcommunicationisimplementedfortheeffectivemessageexchangebetweentheserverandtheclient(Jungeta1.2001).AnActiveXcontrolismadeusingVC++forthesmoothandpromptconnectionwiththeserverandthemutualcommunication;itisdownloadedautomaticallytothefirstconnectedclient.
Thesocketcommunicationcarriesoutthefo1.1owingthreeeventsforthemouldidentificationre.questasshowninFig.6.First.theclientrequeststheservertosendtheimagebytheWebcamerainstalledonthemachine.Atiertheserversendstherequestedimagestoredinit,theclientdisplaystheimageontheclientprogrammadeofActiveX.Second.thecoordinatesofthecroppedportionbytheclientaresenttotheserver.TheserverperformstheimageprocessingofthevisionsysteminthecroppedimagebytheWebcamerausingthereceivedcoordinates,andthen,featureinformationiscreated.ThefeatureinformationismatchedwiththedatabaseconstructedusingUG.API.andthemostsimilarmouldisselected.Third.theserversendsouttheinformationoftheselectedmould,andtheclientdisplaystheinformation.Then,thesocketcommunicationends.
Visionsystemandimageprocessing
ThevisualimageforthemouldmatchingisshowninFig.7.Theedgedetectionalgorithmandtheedgeslimmingoperationareappliedtothesmoothedandenhancedimagetoacquirethefeatureinformation.Ifthelengthoftheperimeterofafeatureexceedsapredeterminedvalue.thefeatureisexcluded.Thesignaturemethod(AhnandCho,1996)whichcalculatesthecentroidofafeatureandthedistancetotheedgefromthecentroidisusedtocalculatethecoordinatesofthecenter,thelengthoftheperimeter,andthearea.
ThematchingprocessoftheimagedataacquiredbythevisionsystemandthedatabaseisshowninFig.8.Intheprocess,because3Dimagerequiresmuchmorecalculationthan2Dimage,the2Dimageisusedfortheimageacquisitionandprocessing.Preprocessingincludingthecleaningprocessfornoisereductionisperfclrmedonthe2DimagebytheWebcamera.andtheessentialinformationisacquiredf0rthepredeterminedfeatures.Thehighpassfilter.
1owpassfilter,blurringfilter,medianfilter,andthehistogramequalizerareusedforthepre-processing;thebluringfilter;thecombinationofbinaryprocessing;thecombinationofdilationanderosiontech.niquesareusedforthecleaningprocess.
TheextractedfeatureinformationisusedforthetwostagematchingprocesseswiththeCADdatabase.Thecorespondingmouldisselectedandtheextractedfeaturesarecomparedindetailtoconfirmasthetargetmould.Becausethisprocessreliesonmatching.notthedimensionalinformation,theresultcanbeobtainedrapidlyandeasilyusingthefeatureinformationoflowprecisionleve1.
Thesignaturemethodcanrepresenttheinfomationofthe2DboundarypointsaslDfunctionsasshowninFig.9.Itplotsthedistancetotheboundaryfromthecentroid.thenitcandescribethecharacteristicsofageometricalfigure.Inthisstudy.the2DboundaryinformationisrepresentedasthelDinformationforeachpredefinedfeature.Th
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