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简介：ThispaperpresentsgeneralizedCAPP(G-CAPP)methodwhichdealswithmacroprocessplanningformulti-objectiveintheplanningstageofproductionlineofaccuracywelding(PLAW)basedonthefeaturesofaccuracyweldingproduction(AWP).G-CAPPoffersfoundationsforprototypedesignandgeneralequipmentsorting,productioncapacitypredicationandproductionanalysisbymeansofsimulationandoptimization.Asynthetichierarchyevaluation(SHE)modelforG-CAPPestablishedaccordingtotheplanningobjectiveisutilizedtoestimatethealternateprocessingplansbyusingmembershipfunctionandanalytichierarchyprocess(AHP)ofoperationaltheory.Theassemblyweldinglineofhydraulictorqueconverter(HTC)isasanexampleoftypicalAWPtoexplicateG-CAPPandsyntheticevaluatingstrategyofPLAW.ThefeasibleandrationalprocessconfigurationstrategiesofHTCassemblyweldinglinearepointedoutunderdifferentplanningobjective.

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简介：Amethodwasdevelopedtorealizequalityevaluationoneveryweld-spotinresistancespotweldingbasedoninformationprocessingofartificialintelligent.Firstly,thesignalsofweldingcurrentandweldingvoltage,asinformationsource,weresynchronouslycollected.Inputpoweranddynamicresistancewereselectedasmonitoringwaveforms.Eightcharacteristicparametersrelatingtoweldqualitywereextractedfromthemonitoringwaveforms.Secondly,tensile-shearstrengthofthespot-weldedjointwasemployedasevaluatingtargetofweldquality.Throughcorrelationanalysisbetweeneverytwoparametersofcharacteristicvector,fivecharacteristicparameterswerereasonablyselectedtofoundamappingmodelofweldqualityestimation.Atlast,themodelwasrealizedbymeansofthealgorithmsofRadialBasicFunctionneuralnetworkandsamplematrixes.Theresultsshowedvalidationsbyasatisfactioninevaluatingweldqualityofmildsteeljointon-lineinspotweldingprocess.

简介：Laserblankweldingisbecomingmoreandmoreimportantintheautomotiveindustryandthequalityoftheweldiscriticalforasuccessfulapplication.Afullyautomatedsolutionisrequiredtoinspectthequalityoftheblanks.ThispaperpresentsavisioninspectionsystemwithaCMOScamerawhichusesART2networktoinspectthedefectson-linetoobtainthegeometryandthequalityoftheweldseam.TheneuralnetworkART2hasthecapabilityofself-learningfromtheenvironment.Itcandistinguishthedefectsthathavebeenlearnedbeforeandgivenewoutputsfornewdefects.SoART2networkissuitableforweldqualityinspectioninlaserblankwelding.Additionally,aCO_2laserisusedfortheblankbutt-welding.

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简介：Duetothedisturbancesofspatters,dustsandstrongarclight,itisdifficulttodetectthemoltenpooledgeandtheweldlinelocationinCO2weldingprocesses.Themedianfilteringandself-multiplicationwasemployedtopreprocesstheimageoftheCO2weldinginordertodetecteffectivelytheedgeofmoltenpoolandthelocationofweldline.TheB-splinewaveletalgorithmhasbeeninvestigated,theinfluenceofdifferentscalesandthresholdsontheresultsoftheedgedetectionhavebeencomparedandanalyzed.TheexperimentalresultsshowthatbetterperformancetoextracttheedgeofthemoltenpoolandthelocationofweldlinecanbeobtainedbyusingtheB-splinewavelettransform.Theproposededgedetectionapproachcanbefurtherappliedtothecontrolofmoltendepthandtheseamtracking.

简介：TheeffectsofethanolsolutionsonlowerpowerArICPdischargewerestudiedbymeasuringplasmatemperatures(gastemperature,excitationtemperature,ionizationtemperatureandelectrontemperature)andelectronnumberdensities.Thetemperaturesandelectronnumberdensitieswerereducedwiththeincreasingofethanolconcentration.TheICPsystemismuchapartfromLTEconditions.Thus,ethanolsolutionswillplaceareducingeffectonspectrallineintensity.