2022
DOI: 10.1016/j.matchar.2022.111909
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Improved EBSD indexation accuracy by considering energy distribution of diffraction patterns

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Cited by 7 publications
(5 citation statements)
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“…The method IDIC-D once again demonstrates the high extendibility of integrated digital image correlation in EBSD analyses. The radial distortion parameter adds to the growing list of accessible physical quantities by IDIC-EBSD: displacement gradient tensor [7,8,9], Euler angle triplet and projection center coordinates [22], overlapping Kikuchi bands at grain boundaries [25], distribution of heterogeneous electron energies of EBSPs [28]. Whenever a physical quantity can be incorporated in the (efficient) generation of a simulated EBSP from pre-calculated master patterns, it can be identified via the correlation with the experimental patterns.…”
Section: Algorithm Of Idic-d To Assess Radial Distortionmentioning
confidence: 99%
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“…The method IDIC-D once again demonstrates the high extendibility of integrated digital image correlation in EBSD analyses. The radial distortion parameter adds to the growing list of accessible physical quantities by IDIC-EBSD: displacement gradient tensor [7,8,9], Euler angle triplet and projection center coordinates [22], overlapping Kikuchi bands at grain boundaries [25], distribution of heterogeneous electron energies of EBSPs [28]. Whenever a physical quantity can be incorporated in the (efficient) generation of a simulated EBSP from pre-calculated master patterns, it can be identified via the correlation with the experimental patterns.…”
Section: Algorithm Of Idic-d To Assess Radial Distortionmentioning
confidence: 99%
“…The brightness profile of Kikuchi bands is closely linked to the sample tilt angle [26]. The inhomogeneous distribution of diffracted electron energy influences the K-band width at different parts of the patterns [27], and IDIC has demonstrated its capability to identify the electron energies and thus provide better indexation results [28]. Kikuchi bands have brighter upper edges and darker lower ones, a phenomenon named excess-deficiency (abbreviated as ED hereinafter).…”
Section: Introductionmentioning
confidence: 99%
“…A proper cost function, which incorporates the noise level of experimental EBSPs, is proposed to lower calibration uncertainty. The algorithm is also highly tunable, and the number of targeting parameters can be modified freely to adapt to different scenarios [22,23]. For example, the IDIC variant based on the pattern Gradients (IDIC-G) [24] can be used to accommodate the excess-deficiency effect.…”
Section: Introductionmentioning
confidence: 99%
“…However, most previous works focused on the uncertainty rather than the accuracy of indexation, as the true values of crystal orientation are seldom known. One exception is Si wafer samples with known cutting planes, in which case large EBSD scans help to calibrate the EBSD setup, and thus better assess the orientation accuracy [23]. One possible solution to the absence of true crystal orientation is to estimate the accuracy of the simulated patterns [4,11], but the conclusion needs to be validated on experimental data.…”
Section: Introductionmentioning
confidence: 99%
“…These electrons form a diffraction pattern [36] on a digital sensor and software interprets the lattice phase and orientation of the scattering site [37,38]. With processing times of a few milliseconds per site, an EBSD map of an area can be collected within an hour or a few hours, with several million data points [39,40].…”
Section: Introductionmentioning
confidence: 99%