简介：

简介：Determiningtheimportanceratingsoftechnicalcharacteristicsisatypicalgroupdecision-makingprocess.Thelinguistic-basedapproachcaneffectivelymanagetheimpreciseandmulti-granularityinformationinqualityfunctiondeploymentandfacilitatedecision-makinginderivingtheimportanceratings.Basedonthelinguisticweightedaveraging(LWA)operatorandthelinguistichybridaveraging(LHA)operator,apracticalapproachisproposedtofirstaggregatetheindividualjudgmentsintoacollectivevalueforeachtechnicalcharacteristicunderlinguisticenvironment,andthenmeasurethedeviationdegreeoflinguisticvariablestoobtaintheimportanceratingsoftechnicalcharacteristics.Acasestudyshowstheapplicationoftheproposedmethod.

简介：Gradeassessmentofsteelisgenerallyperformedviathemetallographicmethod,whichistime-consumingandisnotabletoprovidetheelementaldistributioninformation.Inthispaper,wepresentamethodtomeasuretheglobularoxideinclusionratingsinsteelusinglaser-inducedbreakdownspec-troscopy（LIBS）.Themeasurementisperformedintwobasicsteps：steelsamplesarepolishedusingmetallographicsandpaperandtheA1203inclusionnumberandsizedistributioninamarkedareaareobservedusingscanningelectronmicroscope/energydispersiveX-rayspectroscopy（SEM/EDS）forfurtherLIBSscanninganalysis.ThethresholdintensitythatdistinguishessolublealuminumandinsolublealuminuminclusionsisdeterminedusingLIBScombinedwiththeSEM/EDSstatisticaldata.Carbonsteel（thesamplenumberisS9256）andbearingsteel（thesamplenumberisGCr15）areana-lyzedinscanningmode,andthenumberofA1203inclusionsindifferentsizerangesisobtainedfromthestatisticalinformationderivedfromtheA1203sizecalibrationcurve.Accordingtoheavyandthinseriesforglobularoxideinclusionsgradeassessment,themethodweproposeiscomparabletothetraditionalmetallographicmethodintermsofaccuracy;however,theprocessissimplifiedandthemeasurementspeedissignificantlyimproved.