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Weighted Burgers Vector analysis of orientation fields from high-angular resolution electron backscatter diffraction.
Joe Gardner1, David Wallis2, Lars N Hansen3
1Department of Earth, Ocean and Ecological Sciences, University of Liverpool, UK.
Ultramicroscopy
|December 6, 2023
Summary
High-angular resolution EBSD combined with the Weighted Burgers Vector method reveals low-angle substructures in crystalline materials. This powerful combination enhances analysis of dislocation types and densities in complex geological samples.
Area of Science:
- Materials Science
- Geophysics
- Crystallography
Background:
- The Weighted Burgers Vector (WBV) method analyzes dislocation types and densities in crystalline materials using electron backscatter diffraction (EBSD).
- High-angular resolution EBSD (HR-EBSD) significantly improves angular precision over conventional EBSD.
- The application of WBV to HR-EBSD data for analyzing low-angle substructures remained unexplored.
Purpose of the Study:
- To investigate the synergy between WBV and HR-EBSD for characterizing crystalline materials.
- To compare WBV analysis on conventional EBSD versus HR-EBSD data.
- To guide future data acquisition strategies for analyzing microstructures.
Main Methods:
- Applied the Weighted Burgers Vector (WBV) method to both conventional EBSD and high-angular resolution EBSD (HR-EBSD) datasets.
- Analyzed data from plagioclase feldspar (Earth's lower crust) and olivine (upper mantle).
- Focused on quantitative analysis of low-angle substructures and WBV direction precision.
Main Results:
- HR-EBSD processing enables quantitative WBV analysis of low-angle substructures (≈0.1°) obscured in conventional EBSD data.
- Combining WBV and HR-EBSD increases the precision of calculated WBV directions.
- This enhanced precision is crucial for inferring deformation mechanisms, especially in low-symmetry crystals like plagioclase.
Conclusions:
- HR-EBSD and WBV are complementary techniques for analyzing crystalline materials.
- The combined approach is ideal for investigating complex natural materials with unknown deformation histories.
- This method refines lattice orientation gradients, improving the understanding of geological deformation processes.

