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Dark-field imaging based on post-processed electron backscatter diffraction patterns of bulk crystalline materials in

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Summary

This study introduces a new scanning electron microscope technique using electron backscatter diffraction (EBSD) patterns for dark-field (DF) imaging. This method enhances the visualization of deformation structures in materials like steel and iron.

Keywords:
Dark-field (DF)DeformationElectron backscatter diffraction (EBSD)Electron channeling contrast imaging (ECCI)Electron channeling pattern (ECP)Scanning electron microscope (SEM)

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Area of Science:

  • Materials Science
  • Electron Microscopy
  • Crystallography

Background:

  • Electron backscatter diffraction (EBSD) is crucial for analyzing material microstructures.
  • Dark-field (DF) imaging in scanning electron microscopy (SEM) provides contrast based on diffraction.
  • Existing methods like electron channeling contrast imaging (ECCI) have limitations in visualizing deformation.

Purpose of the Study:

  • To develop and validate a novel offline dark-field imaging technique using EBSD patterns (EBSPs) in SEM.
  • To improve the resolution and flexibility of DF imaging for materials analysis.
  • To enhance the understanding of deformation mechanisms in materials.

Main Methods:

  • Acquisition of DF images in SEM using an offline procedure based on EBSD patterns.
  • Generation of EBSD-DF images by selecting specific reflections within EBSPs.
  • Reporting pixel intensity around selected points for image contrast at EBSP scale resolution.

Main Results:

  • The developed EBSD-DF technique provides contrast based on diffraction information at the pixel scale.
  • The offline nature allows selection of any diffraction condition for imaging.
  • Demonstrated high capability in rigorously describing deformation structures around micro-hardness indents in steel and iron specimens.

Conclusions:

  • The new EBSD-DF technique offers superior monitoring of deformation structures compared to ECCI.
  • This method significantly improves the understanding of deformation mechanisms.
  • It aids in a better comprehension of ECCI contrast mechanisms.