Novel Remapping Approach for HR-EBSD based on Demons Registration

TL;DR

This paper introduces a novel remapping method for HR-EBSD using demons registration, achieving higher accuracy and speed, and demonstrates its effectiveness on simulated and real additively-manufactured Inconel 625 data.

Contribution

The study presents a new demons registration-based remapping approach that improves angular resolution and computational efficiency for HR-EBSD analysis.

Findings

Demons registration has lower angular resolution than traditional methods at >9° misorientation.

GPU acceleration reduces registration time to under 1 second for 10° misorientation.

The method accurately detects residual stresses and GND structures in experimental data.

Abstract

In this study, the possibility of utilizing a computer vision algorithm, i.e., demons registration, to accurately remap electron backscatter diffraction patterns for high resolution electron backscatter diffraction applications is presented. First, the angular resolution of demons registration is demonstrated to be lower than the conventional cross-correlation based method, particularly at misorientation angles > 9 degrees. In addition, GPU acceleration has been applied to significantly boost the speed of iterative registration between a pair of patterns with 10{\deg} misorientation to under 1s. Second, demons registration is implemented as a first-pass remapping, followed by a second pass cross-correlation method, which results in angular resolution of ~0.5*10-4 degrees, a phantom stress value of ~35MPa and phantom strain of ~2*10-4, on dynamically simulated patterns, without the need of implementing robust fitting or iterative remapping. Lastly, the new remapping method is applied to a large experimental dataset collected from an as-built additively-manufactured Inconel 625 cube, which shows significant residual stresses built-up near the large columnar grain region and regularly arranged GND structures.