Application of forward models to crystal orientation refinement

Abstract

Two approaches are proposed for the refinement of electron diffraction pattern indexing. The approaches require two basic ingredients: an accurate physics-based forward model and an algorithm to search the local orientation neighborhood. Forward models for electron backscatter diffraction (EBSD) and electron channeling pattern (ECP) modalities are coupled with either a multi-resolution brute-force search algorithm or a bound optimization by quadratic approximation algorithm. The efficacy of the methods is evaluated for varying levels of error in the pattern projection center. The EBSD modality shows an orientation improvement when the projection center error is within ±1% of the full detector width, whereas the ECP modality shows improvement up to a ±5% error. The algorithms are applied to an experimental EBSD scan for partially recrystallized 90/10 brass; the results show that the refinement is necessary to remove the artifacts introduced by the discrete sampling nature of the dictionary indexing method. Finally, a pattern center correction factor is derived for orientations obtained from dictionary indexing for large-area EBSD scans.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 03, 2017
Source ID
10.1107/s1600576717014200

Entities

People

  • Farangis Ram
  • Marc De Graef
  • Saransh Singh

Organizations

  • Air Force Office of Scientific Research
  • Office of Naval Research

Tags

Readers

  • Computational Modeling and Simulation
  • Neural Network Machine Learning.
  • Powder metallurgy of Titanium alloys.

Technology Areas

  • Microelectronics