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1、ImageprocessingofweldpoolandkeyholeinNd:YAGlaserweldingofstainlesssteelbasedonvisualsensing112211GAOJin-qiang,QINGuo-liang,YANGJia-lin,HEJian-guo,ZHANGTao,WUChuan-song1.KeyLaboratoryforLiquid-SolidStructuralEvolutionandProcessingofMaterials(MinistryofEducati
2、on)ShandongUniversity,Ji’nan250061,China;2.InstituteofMachineryManufacturingTechnology,ChinaAcademyofEngineeringPhysics,Mianyang621900,ChinaReceived22February2010;accepted17May2010Abstract:Inordertoobtaingoodweldingquality,itisnecessarytoapplyqualitycontrolb
3、ecausetherearemanyinfluencingfactorsinlaserweldingprocess.Thekeytorealizeweldingqualitycontrolistoobtainthequalityinformation.Abundantweldqualityinformationiscontainedinweldpoolandkeyhole.AimingatNd:YAGlaserweldingofstainlesssteel,acoaxialvisualsensingsystem
4、wasconstructed.Theimagesofweldpoolandkeyholewereobtained.Basedonthegraycharacterofweldpoolandkeyholeinimages,animageprocessingalgorithmwasdesigned.Thesearchstartpointandsearchcriteriaofweldpoolandkeyholeedgeweredeterminedrespectively.Keywords:laserwelding;ke
5、yhole;weldpool;edge;imageprocessingalgorithmtransmissionaidedtechniques.Thekeyholediameterand1Introductiondepthwereobtainedbyimageprocessing.ButnorelationshipbetweenbothkeyholeandweldpoolSincelaserbeamweldinghasthecharacteristicsofgeometryandweldpenetrationw
6、asestablished.CCDhighefficiency,highenergydensity,lowheatinput,largecameraswereusedtocapturetheweldpoolandkeyholeratioofweldpenetrationtowidth,lessthermaldistortionimagesfromthetopsideofworkpiece[7],andtheandeasycontrollingparameters,itiswidelyusedinrelation
7、shipbetweenthekeyholedepthandtheindustries.Duringtheprocessoflaserbeamwelding,maximumimagegraylevelwasestablished.Butitisstillmanyfactors,suchaslaser-inducedplasma,focusadoubtwhetherthemaximumgraylevelisabletoposition,workpiecedistortionandsurfacecondition,r
8、eflectthekeyholedepthexactly.BEERSIEK[8]usedainfluencetheabsorptionrateoflaserenergy,andthenthecoaxialvisualsystemtocapturetheweldpoolandweldqualitymaybechanged.Inordertoensuregoodkeyholeimages,
