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An alignment algorithm using coherent twin boundaries as internal reference in 3D-EBSD.

Heng Li1,2, Shuang Xia1,2, Qin Bai1,3

  • 1School of Materials Science and Engineering, Shanghai University, Shanghai, PR China.

Journal of Microscopy
|August 16, 2024
PubMed
Summary
This summary is machine-generated.

A new alignment algorithm improves 3D microstructure reconstruction from electron back scattering diffraction (EBSD) data. This method enhances the accuracy of distinguishing twin boundaries in 316L austenitic stainless steel.

Keywords:
316L stainless steel3D‐EBSDalignmentserial sectioningtwin boundary

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Area of Science:

  • Materials Science
  • Metallurgy
  • Crystallography

Background:

  • Three-dimensional (3D) microstructural reconstruction is crucial for understanding material properties.
  • Serial sectioning combined with electron back scattering diffraction (EBSD) mapping is a common technique for 3D microstructural analysis.
  • Translational misalignments between adjacent 2D sections can significantly hinder accurate 3D reconstruction.

Purpose of the Study:

  • To develop a novel alignment algorithm for improving the accuracy of 3D microstructural volume reconstruction from serial sectioning EBSD data.
  • To address and reduce translational misalignments in 3D-EBSD datasets.
  • To enhance the distinction between coherent and incoherent twin boundaries in 316L austenitic stainless steel.

Main Methods:

  • Reconstruction of a 3D microstructural volume from 2D sections obtained by serial sectioning and EBSD mapping.
  • Development and application of a new alignment algorithm: linear translation by minimising the indicator (LTMI).
  • Utilizing coherent twin boundaries on {111} planes as reference for alignment, minimizing angular differences to {111} planes.

Main Results:

  • The LTMI algorithm effectively reduces translational misalignments between adjacent sections.
  • Systematic trends in translational misalignments are significantly reduced.
  • Improved accuracy in distinguishing between coherent and incoherent twin boundaries.

Conclusions:

  • The proposed LTMI alignment procedure offers superior correction of misalignments compared to existing methods for 3D-EBSD data.
  • The method enhances the reliability of 3D microstructural reconstructions.
  • Accurate identification of twin boundary types is critical for materials characterization.