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ebsd數(shù)據(jù)分析ppt課件(已修改)

2025-05-24 13:59 本頁面
 

【正文】 Analysis of EBSD Data (L17)27750,Fall2022Texture,Microstructureamp。Anisotropy,Fall2022B.ElDasher*,.Rollett,.Rohrer,.KaluLast revised: 7th Nov. ‘09*nowwiththeLawrenceLivermoreNatl.Lab.Overview? Understandingtheprogram:– Importantmenus– DefinitionofGrainsinOIM– Partitioningdatasets? Cleaningupthedata:– Types– ExamplesofNeighborcorrelation? Orientation:– SystemDefinition– DistributionFunctions(ODFs)– PlottingODFsOverview? Misorientation:– DefinitionsOrientationvs.Misorientation– DistributionFunctions(MDFs)– PlottingMDFs? Othertools:– PlottingDistributions– InteractivetoolsNavigating the menus? Therearetwomenusthataccessvirtuallyeverything:CreatesnewpartitionsImportsdataaspartitionsAccesstoroutinesthatcleanupthedatasetUsethistoexporttext.angfilesCheckthescanstatsRotatetheorientationsofeachpointaboutsample frameCutoutscansectionsAccesstomenufor:MapsTexturecalculationTextureplotsExport grain ID dataassociatedwitheachpointCheck the partitionstatsamp。definitionChange the partitionproperties:DecidewhichpointstoincludeDefinea“grain”Grain Definitions? OIMdefinesasetofpointstoconstituteagrainif:Apathexistsbetweenanytwopoints(intheset)suchthatitdoesnottraverseamisorientationanglemorethanaspecifiedtoleranceThenumberofpointsisgreaterthanaspecifiednumberPointswithaCIlessthanspecifiedareexcludedfromstatisticsNote:PointsthatareexcludedaregivenagrainIDof0(zero)inexportedfilesGrain DefinitionsExamplesofdefinitions3degrees 15degreesNotethateachcolorrepresents1grainPartitioning Datasets ChoosewhichpointstoincludeinanalysisbysettingupselectionformulaUsetoselectbyindividual pointattributesUsetoselectbygrainattributesSelectionformulaisexplicitlywrittenhereGrainCIStandardization:ChangestheCIofallpointswithinagraintobethatofthehighestwithineachgrainMostusefulifaminimumCIcriterionisusedinanalyzingdata(preventslowCIpointswithinagrainfrombeinglost)Data CleanupNeighborOrient.CorrelationPerformedonallpointsinthedatasetForcleanupleveln:Condition1:Orientationof6nnearestneighborsisdifferentthancurrentpoint(misorientationanglechosen)Condition2:Orientationof6nnearestneighborsisthesameaseachotherIfbothconditionsaremet,thepoint’sorientationischosentobeaneighbor’satrandomRepeatlowcleanuplevels(n=3 max)untilnomorepointschangeforbestresultsNeighborPhaseCorrelationSameasGrainDilationbutinsteadofusingthegrainwithmostnumberofneighboringpoints,thephasewiththemostnumberofneighboringpointsisusedOutputOptions:OverwritecurrentdatasetCreate“cleanedup”datasetasanewdatasetWritethe“cleanedup”datasetdirectlytofileNeighborCICorrelationPerformedonlyonpointswithCIlessthanagivenminimumTheorientationandCIoftheneighborwithhighestCIisassignedtothesepointsUsewhenmajorityofpointsarehighCI,andonlyafewbadpointsexistGrainDilation:ActsonlyonpointsthatdonotbelongtoanygrainasdefinedApointbeespartofthegrainwiththemostnumberofsurroundingpointsTakestheorientationandCIoftheneighboringpointwithhighestCIUsetoremovebadpointsduetopitsoratNeighbor Correlation ExampleNoCleanup Level0Level3NotethatHighercleanuplevelsareiterative(.Level3=Levels0,1,2,3)Definition of Orientation? Bydefinitionanorientationisalwaysrelative.TheOIMusesthesamplesurfacetodefinetheorthogonalreferenceframe.? Quantitiesaretransformedfromsampleframetocrystalframee1se2s?1 F ?2NB: a more prehensive discussion of reference frames is given laterOrientation Distribution Functions? The ODF displays how the measured orientations aredistributedinorientationspace? Twotypesofdistributionscanbecalculated:DiscreteODF:?Binsizedefinesthevolumeofeachelementinorientationspac
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