EBSD数据分析
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• Misorientation:
– Definitions - Orientation vs. Misorientation – Distribution Functions (MDFs) – Plotting MDFs
• Other tools:
– Plotting Distributions – Interactive tools
Partitioning Datasets
- Choose which points to include in analysis by setting up selection formula
Use to select by individual point attributes
Use to select by grain attributes
• Two types of distributions can be calculated:
DCiosnctrineuteouOsDOFD:F: •• BGiennseirzaelizdeedfSinpehserthicealvHoalurmmoeniocf eFaucnhctieolnesm: Reannt kindoefriineenstathtieon s“rpeascoelut(i5onox” 5oofxth5eo)function •• FEaqusitvcaalelcntutloataioFnourier transform •s•rmatSCraneuaxknilimctngauuutblhmamlstebi)oebfnorurt(ti3mmn2eooitsrsiwstaenteesaexskftftueetreceetxpivtlyuerweisth i•f Tthimeeniunmtenbseivreof grains is small (•cMonosstildyearptphreopnruiamtebfeorr woef adkaetar pteoxitnutrsesper cell required to a• cShoimeveesrmeoaostohinnagbislyinlohwerennotise)
Analysis of EBSD Data (L17)
27-750, Fall 2009
Texture, Microstructure & Anisotropy, Fall 2009
Carnegie Mellon
B. El-Dasher*, A.D. Rollett, G.S. Rohrer, P.N. Kalu
- If both conditions are met, the -pCorienat’tseo“rcielenatnaetiodnuips” cdhaotasesenttaos abeneawnediagthabsoert’s at random - Repeat low cleanup levels -(Wn=ri3temthaex)“culnetailnneod mupo”redaptoaisnetst dcihreacntglyetfoorfilbeest results
Plotting Orientation Distributions
• One must select the types of data visualization desired
• IPEnouvelersrefsigpPuaorcleespFlsioghtuorews tahre dsuhsiseotdrwibsuttothioenildluisotrfaibteustipowenchicfihc corrfyyisnsttaaellnpsliatynpelansneoasrmalsw.arr.et. sfpuaanrmaclptlieolelnroefethtroeenEceulfesrraammpele •adinFregoclretiostnhse (ggeenneerraaltlyionRDo,f mn•pT•reeoTDUopechrsr&keedeeesNdtettosDhntota)iobnnfevdtiwisceoaheuxndisatceduhleirzePdeFeaso,nasntmteehrpeealedyt awreetfeilmlreaens.c“efibferarm” teextpularenes is •beRinegsoclountsioidnedreedf:in1e0s0, 010 hanodw0m01anaryestlyicpeicsalacrheoices p• oMsusltiibple ipnlatnheespalolsto need
• By definition an orientation is always relative. The OIM uses the sample surface to define the orthogonal reference frame.
e2s
e1s
• Quantities are transformed from sample frame to crystal frame
to be entered one at a time
Cut out scan sections
Check the partition stats & definition
Change the partition properties: - Decide which points to include - Define a “grain”
Imports data as partitions
j1
F
j2
NB: a more comprehensive discussion of reference frames is given later
Orientation Distribution Functions
• The ODF displays how the measured orientations are distributed in orientation space
hpO-igoCuhinoteptnsudtetiCtxOioIisnpt t2io: nOsr:ientation of 6-n
- nUesaeretostrneemigohvbeobrasdisptohientssadmuee to-aOspvietesarwcohriatoetthGceu.rBrrsent dataset
Neighbor Correlation Example
No Cleanup Level 3
Level 0
Note that Higher cleanup levels are iterative (i.e. Level 3= Levels 0,1,2,3)
Definition of Orientation
• Cleaning up the data:
– Types – Examples of Neighbor correlation
• Orientation:
– System Definition – Distribution Functions (ODFs) – Plotting ODFs
Overview
Grain Definitions
• OIM defines a set of points to constitute a grain if:
- A path exists between any two points (in the set) such that it does not traverse a misorientation angle more than a specified tolerance - The number of points is greater than a specified number Points with a CI less than specified are excluded from statistics
Navigating the menus
• There are two menus that access virtually everything:
Check the scan stats
Creates new partitions
Rotate the orientations of each point about sample frame
Selection formula is explicitly written here
Data Cleanup
GGNNrreaeaiigingnhhDbCbioIlaorStrCitoaPOInnCh:rdiaoearsrnrdeeti.lzaCCatiotooiornrnree:lalattioionn
Access to routines that cleanup the dataset
Use this to export text .ang files
Access to menu for: - Maps - Texture calculation - Texture plots
Export grain ID data associated with each point
MRSEC
Last revised: 7th Nov. ‘09
*now with the Lawrence Livermore Natl. Lab.
Overview
• Understanding the program:
– Important menus – Definition of Grains in OIM – Partitioning datasets
----ACPSPcheatesarmrfnfooegrnrmemlaysseeodtdGhnoeropannCoilnyiaInDoltlsnfiplatophtliolinaopittnsodtsibionnuwtnstihothet bwCideniIaltsohltenaeinsgsaseadttotgoharfanuiynsaingtoggraivbtienhneathmgsardiatneioinmffinwtuheimetdh -h-mFAiTgoophrsoectislnnoetturawibmenientubhctpeaionrtlmieoevenfaesncalhepniad:grhrtCaboiIonfortifhnteghe g-np-rMeaoCiigonnohstnwstbd,iuotithtsrhioeewtnhfuipte1hlh:imafhOsaiogersmihetweninnsituiathmmtCituohbImneeisromCof oIf6s-nt scanunrsuiretsrmeaoigrubienonesendrtdionnstfegounigpsteheoigebdinhsotiebrnssopariosinniandgltiyfspfzeoinriengntst is -d-utTahUsataeasknde(scpwurthehrrveeeennontmrtispeaonljoiotnwartittiyConIopfaopniodnitnCstsI owa(fmritehiseihnoignraiheegingCrthaaI,bitniaoonrfnridnoagmonnpgbloyleinian>t gfweclhiwothosbst)aedn)
Note: Points that are excluded are given a grain ID of 0 (zero) in exported files
Grain Definitions
Examples of definitions
3 deghat each color represents 1 grain
– Definitions - Orientation vs. Misorientation – Distribution Functions (MDFs) – Plotting MDFs
• Other tools:
– Plotting Distributions – Interactive tools
Partitioning Datasets
- Choose which points to include in analysis by setting up selection formula
Use to select by individual point attributes
Use to select by grain attributes
• Two types of distributions can be calculated:
DCiosnctrineuteouOsDOFD:F: •• BGiennseirzaelizdeedfSinpehserthicealvHoalurmmoeniocf eFaucnhctieolnesm: Reannt kindoefriineenstathtieon s“rpeascoelut(i5onox” 5oofxth5eo)function •• FEaqusitvcaalelcntutloataioFnourier transform •s•rmatSCraneuaxknilimctngauuutblhmamlstebi)oebfnorurt(ti3mmn2eooitsrsiwstaenteesaexskftftueetreceetxpivtlyuerweisth i•f Tthimeeniunmtenbseivreof grains is small (•cMonosstildyearptphreopnruiamtebfeorr woef adkaetar pteoxitnutrsesper cell required to a• cShoimeveesrmeoaostohinnagbislyinlohwerennotise)
Analysis of EBSD Data (L17)
27-750, Fall 2009
Texture, Microstructure & Anisotropy, Fall 2009
Carnegie Mellon
B. El-Dasher*, A.D. Rollett, G.S. Rohrer, P.N. Kalu
- If both conditions are met, the -pCorienat’tseo“rcielenatnaetiodnuips” cdhaotasesenttaos abeneawnediagthabsoert’s at random - Repeat low cleanup levels -(Wn=ri3temthaex)“culnetailnneod mupo”redaptoaisnetst dcihreacntglyetfoorfilbeest results
Plotting Orientation Distributions
• One must select the types of data visualization desired
• IPEnouvelersrefsigpPuaorcleespFlsioghtuorews tahre dsuhsiseotdrwibsuttothioenildluisotrfaibteustipowenchicfihc corrfyyisnsttaaellnpsliatynpelansneoasrmalsw.arr.et. sfpuaanrmaclptlieolelnroefethtroeenEceulfesrraammpele •adinFregoclretiostnhse (ggeenneerraaltlyionRDo,f mn•pT•reeoTDUopechrsr&keedeeesNdtettosDhntota)iobnnfevdtiwisceoaheuxndisatceduhleirzePdeFeaso,nasntmteehrpeealedyt awreetfeilmlreaens.c“efibferarm” teextpularenes is •beRinegsoclountsioidnedreedf:in1e0s0, 010 hanodw0m01anaryestlyicpeicsalacrheoices p• oMsusltiibple ipnlatnheespalolsto need
• By definition an orientation is always relative. The OIM uses the sample surface to define the orthogonal reference frame.
e2s
e1s
• Quantities are transformed from sample frame to crystal frame
to be entered one at a time
Cut out scan sections
Check the partition stats & definition
Change the partition properties: - Decide which points to include - Define a “grain”
Imports data as partitions
j1
F
j2
NB: a more comprehensive discussion of reference frames is given later
Orientation Distribution Functions
• The ODF displays how the measured orientations are distributed in orientation space
hpO-igoCuhinoteptnsudtetiCtxOioIisnpt t2io: nOsr:ientation of 6-n
- nUesaeretostrneemigohvbeobrasdisptohientssadmuee to-aOspvietesarwcohriatoetthGceu.rBrrsent dataset
Neighbor Correlation Example
No Cleanup Level 3
Level 0
Note that Higher cleanup levels are iterative (i.e. Level 3= Levels 0,1,2,3)
Definition of Orientation
• Cleaning up the data:
– Types – Examples of Neighbor correlation
• Orientation:
– System Definition – Distribution Functions (ODFs) – Plotting ODFs
Overview
Grain Definitions
• OIM defines a set of points to constitute a grain if:
- A path exists between any two points (in the set) such that it does not traverse a misorientation angle more than a specified tolerance - The number of points is greater than a specified number Points with a CI less than specified are excluded from statistics
Navigating the menus
• There are two menus that access virtually everything:
Check the scan stats
Creates new partitions
Rotate the orientations of each point about sample frame
Selection formula is explicitly written here
Data Cleanup
GGNNrreaeaiigingnhhDbCbioIlaorStrCitoaPOInnCh:rdiaoearsrnrdeeti.lzaCCatiotooiornrnree:lalattioionn
Access to routines that cleanup the dataset
Use this to export text .ang files
Access to menu for: - Maps - Texture calculation - Texture plots
Export grain ID data associated with each point
MRSEC
Last revised: 7th Nov. ‘09
*now with the Lawrence Livermore Natl. Lab.
Overview
• Understanding the program:
– Important menus – Definition of Grains in OIM – Partitioning datasets
----ACPSPcheatesarmrfnfooegrnrmemlaysseeodtdGhnoeropannCoilnyiaInDoltlsnfiplatophtliolinaopittnsodtsibionnuwtnstihothet bwCideniIaltsohltenaeinsgsaseadttotgoharfanuiynsaingtoggraivbtienhneathmgsardiatneioinmffinwtuheimetdh -h-mFAiTgoophrsoectislnnoetturawibmenientubhctpeaionrtlmieoevenfaesncalhepniad:grhrtCaboiIonfortifhnteghe g-np-rMeaoCiigonnohstnwstbd,iuotithtsrhioeewtnhfuipte1hlh:imafhOsaiogersmihetweninnsituiathmmtCituohbImneeisromCof oIf6s-nt scanunrsuiretsrmeaoigrubienonesendrtdionnstfegounigpsteheoigebdinhsotiebrnssopariosinniandgltiyfspfzeoinriengntst is -d-utTahUsataeasknde(scpwurthehrrveeeennontmrtispeaonljoiotnwartittiyConIopfaopniodnitnCstsI owa(fmritehiseihnoignraiheegingCrthaaI,bitniaoonrfnridnoagmonnpgbloyleinian>t gfweclhiwothosbst)aedn)
Note: Points that are excluded are given a grain ID of 0 (zero) in exported files
Grain Definitions
Examples of definitions
3 deghat each color represents 1 grain