EBSD数据分析-共43页课件.ppt
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- EBSD 数据 分析 43 课件
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1、Analysis of EBSD Data (L17)27-750, Fall 2009Texture, Microstructure & Anisotropy, Fall 2009B. El-Dasher*, A.D. Rollett, G.S. Rohrer, P.N. KaluCarnegie Mellon MRSECLast revised: 7th Nov. 09*now with the Lawrence Livermore Natl. Lab.Overview Understanding the program: Important menus Definition of Gra
2、ins in OIM Partitioning datasets Cleaning up the data: Types Examples of Neighbor correlation Orientation: System Definition Distribution Functions (ODFs) Plotting ODFsOverview Misorientation: Definitions - Orientation vs. Misorientation Distribution Functions (MDFs) Plotting MDFs Other tools: Plott
3、ing Distributions Interactive toolsNavigating the menus There are two menus that access virtually everything:Creates new partitionsImports data as partitionsAccess to routines that cleanup the datasetUse this to export text .ang filesCheck the scan statsRotate the orientations of each point about sa
4、mple frameCut out scan sectionsAccess to menu for: - Maps - Texture calculation - Texture plotsExport grain ID data associated with each pointCheck the partition stats & definitionChange the partition properties:- Decide which points to include- Define a “grain”Grain Definitions OIM defines a set of
5、 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 numberPoints with a CI less than specified are excluded from statistics Note: P
6、oints that are excluded are given a grain ID of 0 (zero) in exported files Grain DefinitionsExamples of definitions3 degrees15 degreesNote that each color represents 1 grainPartitioning Datasets-Choose which points to include in analysis by setting up selection formulaUse to select by individual poi
7、nt attributesUse to select by grain attributesSelection formula is explicitly written hereGrain CI Standardization:- Changes the CI of all points within a grain to be that of the highest within each grain- Most useful if a minimum CI criterion is used in analyzing data (prevents low CI points within
8、 a grain from being lost) Data CleanupNeighbor Orient. Correlation- Performed on all points in the datasetFor cleanup level n:- Condition 1: Orientation of 6-n nearest neighbors is different than current point (misorientation angle chosen)- Condition 2: Orientation of 6-n nearest neighbors is the sa
9、me as each other- If both conditions are met, the points orientation is chosen to be a neighbors at random- Repeat low cleanup levels (n=3 max) until no more points change for best resultsNeighbor Phase Correlation- Same as Grain Dilation but instead of using the grain with most number of neighborin
10、g points, the phase with the most number of neighboring points is used Output Options:-Overwrite current dataset-Create “cleaned up” dataset as a new dataset-Write the “cleaned up” dataset directly to fileNeighbor CI Correlation- Performed only on points with CI less than a given minimum - The orien
11、tation and CI of the neighbor with highest CI is assigned to these points- Use when majority of points are high CI, and only a few bad points existGrain Dilation:- Acts only on points that do not belong to any grain as defined- A point becomes part of the grain with the most number of surrounding po
12、ints- Takes the orientation and CI of the neighboring point with highest CI- Use to remove bad points due to pits or at G.Bs Neighbor Correlation ExampleNo CleanupLevel 0Level 3Note that Higher cleanup levels are iterative (i.e. Level 3= Levels 0,1,2,3)Definition of Orientation By definition an orie
13、ntation is always relative. The OIM uses the sample surface to define the orthogonal reference frame.Quantities are transformed from sample frame to crystal framee1se2sj1Fj2NB: a more comprehensive discussion of reference frames is given laterOrientation Distribution FunctionsThe ODF displays how th
14、e measured orientations are distributed in orientation spaceTwo types of distributions can be calculated:Discrete ODF: Bin size defines the volume of each element in orientation space (5ox5ox5o) Fast calculation Suitable for most texture strengths but not weak textures if the number of grains is sma
15、ll (consider the number of data points per cell required to achieve reasonably low noise)Continuous ODF: Generalized Spherical Harmonic Functions: Rank defines the “resolution” of the function Equivalent to a Fourier transform Calculation time rises steeply with rank number (32 is an effective maxim
16、um) Time intensive Mostly appropriate for weaker textures Some smoothing is inherentPlotting Orientation DistributionsOne must select the types of data visualization desired Pole figures show the distribution of specific crystal planes w.r.t. sample reference frame For the generation of more than on
17、e PF, they need to be added one at a time. Inverse Pole Figures are used to illustrate which crystal plane normals are p a r a l l e l t o s a m p l e directions (generally RD, TD & ND) The indices entered represent which sample reference frame plane is being considered: 100, 010 and 001 are typical
18、 choices Multiple planes also need to be entered one at a time Euler space plot shows the distribution of intensity as a function of the Euler angles Used to visualize pockets of texture as well as “fiber” textures Resolution defines how many slices are possible in the plot Types of ODF/Pole Figure/
19、 Inverse PF PlotsChoose texture and desired plot typeU s e t o a d d multiple plots to the same image NB: a more comprehensive discussion of reference frames is given laterThe Average Orientation of the pixels in a grainis given by this equation:RD10 000 orientations near to the Brass component:repr
20、esented by a 111 pole figure and, in the complete Euler space to show the 24 equivalents resulting from application of cubic crystal symmetry111Preparation of the data for analysisi=1,24.q.qq/ )q.qq(qN21N21M(g)quivalent M(g)mesur. Si cristalCourtesy of N. BozzoloVery simple, nest-ce pas?However, the
21、re is a problem. As a consequence of the crystal symmetry, there are several equivalent orientations.This example illustrates the point:Cho J H, Rollett A D and Oh K H (2019) Determination of a mean orientation in electron backscatter diffraction measurements, Metall. Mater. Trans. 36A 3427-38j1=0j1
22、=5j1=10j1=15.max = 5.56.Parameters for texture analysisCourtesy of N. Bozzolomax = 5.3716x16x83225max = 4.4432x32x168225max = 5.56Resolution 32x32x16Gaussian 3Lmax 22Bin Size5Effect of the binning resolutionEffect of the width of the GaussianParameters for texture analysisCourtesy of N. Bozzolomax =
23、 5.17Lmax = 16max = 5.56Lmax = 22Effect of the maximum rank in the series expansion, Lmaxmax = 2.43Lmax = 5max = 4.04Lmax = 8max = 6.36Lmax = 34Resolution 32x32x16Gaussian 3Lmax 22Bin Size5Courtesy of N. Bozzolomax = 31 !Same, with 10 binning :Direct Methodmax = 5.56In effect the harmonic method giv
24、es some ”smoothing . Without this, a coarse binning of, say, 10, produces a very “lumpy” result.j1=5Courtesy of N. Bozzoloj j0= 87.6 at 0 35 3080000 grains6.6 at 0 35 307.1 at 0 35 258.2 at 0 30 258.3 at 15 30 302000 grains5.8 at 5 30 157.3 at 345 35 5015.5 at -5 35 5016000 grains6.7 at 0 35 307.9 a
25、t 0 35 306.9 at -5 35 359.0 at -5 30 40Gaussienne de j j0= 4Triclinic sample symmetryj j0= 4j j0= 8Statistical Aspects Number of grains measured Width of the Gaussian ( and/or Lmax) Influence of the sample symmetryZirconium, equiaxedSections thru the OD at constant j1 (Lmax = 34)16.011.38.05.64.02.8
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