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Determining Grain Boundary Position and Geometry from EBSD Data: Limits of Accuracy.

David T Fullwood1, Sarah Sanderson1, Sterling Baird1

  • 1Department of Mechanical Engineering, Brigham Young University, Provo, UT84602, USA.

Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
|February 18, 2022
PubMed
Summary

Accurately determining crystalline material geometry requires accounting for the excitation volume (EV) in electron backscatter diffraction (EBSD) data. Transition curves improve grain boundary (GB) positioning accuracy, highlighting limitations of standard EBSD software.

Keywords:
EBSDMonte CarloSEMexcitation volumegrain boundariesnickel

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Area of Science:

  • Materials Science
  • Crystallography
  • Electron Microscopy

Background:

  • Accurate interpretation of geometrical sample information from electron backscatter diffraction (EBSD) data is crucial for nanoscale crystalline materials.
  • The finite size of the excitation volume (EV) in EBSD can introduce errors in geometrical determination.

Purpose of the Study:

  • To develop a method for accurately determining grain boundary (GB) geometry by accounting for the excitation volume (EV) in EBSD data.
  • To compare different metrics from EBSD data as proxies for simulated backscattered electrons.
  • To establish criteria for comparing experimental and simulated EBSD transition curves.

Main Methods:

  • Utilizing transition curves from line scans across grain boundaries (GBs).
  • Comparing various EBSD data metrics against Monte Carlo simulations of backscattered electrons.
  • Deriving criteria for comparing experimental and simulated transition curves.

Main Results:

  • Transition curves provide an accurate method for determining the sample surface GB position.
  • Standard EBSD software may introduce significant errors in GB position determination.
  • The excitation volume (EV) is generally too shallow to reveal subsurface GB geometry, such as inclination angle.

Conclusions:

  • Accounting for the excitation volume (EV) using transition curves enhances the accuracy of grain boundary (GB) geometry determination from EBSD data.
  • The study identifies limitations of standard EBSD software and provides a method for more precise GB positioning.
  • Subsurface geometry, like GB inclination, cannot be reliably determined with this method due to the shallow EV.