Applications of the method

Characterization of a nanopipe dislocation in GaN by means of HR-EBSD and field dislocation mechanics analysis

“…Often used to describe projections in computer vision, the latter is measured by an iterative inverse-compositional Gauss Newton algorithm [10], modified to integrate a correction of optical distortions caused by camera lenses [12]. The reader is also referred to chapters 1 to 5 in [18] for all details.…”

Experimental measurement of dislocation density in metallic materials: A quantitative comparison between measurements techniques (XRD, R-ECCI, HR-EBSD, TEM)

“…Often used in computer vision to describe projections, the latter is measured by an iterative inverse-compositional Gauss Newton algorithm, modified to integrate a correction of optical distortions caused by camera lenses [51]. The reader is also referred to chapters 3 to 5 in [35] for all details. The Nye's dislocation tensor is computed according to the Nye-Kröner theory [13,36]:…”

“…Weighed Burgers vector method proposes to consider a kind of Burgers circuit in order to reduce the imprecision at low disorientation angles [27], but only three components of the curvature tensor are considered and the contribution of elastic strain is also neglected. The latter is nevertheless a reasonable assumption in plastically deform metals [28,29], but not at slightly disoriented materials such as in GaN single crystals [29].…”

“…As a solution, the High (angular) Resolution EBSD (HR-EBSD) technique was developed under the impetus of Wilkinson et al [30] and recently experienced a revival with the emergence of global image registration approaches [31][32][33], like the method used in this study [34,35]. All these methods apply digital image correlation techniques to a pair of Kikuchi patterns in order to measure their relative displacement field with subpixel accuracy.…”

Conditions near a crack tip: Advanced experiments for dislocation analysis and local strain measurement

“…Fundenberger et al 34 introduced an "on-axis" configuration, which enables faster acquisition time, lower pattern distortion, and a slightly better spatial resolution compared to the conventional "off-axis" configuration. By coupling the crosscorrelation algorithms and on-axis TKD, Ernould et al 35 could investigate the grain internal disorientations and GND densities of a nanocrystalline pure aluminum. Wang et al 36 reported that by applying a monolithic active pixel sensor-based direct electron detector, high-quality EBSD patterns or high-speed pattern acquisition (up to 5988 fps) can be achieved.…”