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Robust methodology for the EBSD local misorientation analysis of surface cold work.

Ivan Bogachev1, Kevin M Knowles1, Grant J Gibson2

  • 1University of Cambridge, Department of Materials Science and Metallurgy, 27 Charles Babbage Road, Cambridge, CB3 0FS, UK.

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|August 13, 2024
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Summary

This study details a method for measuring cold work depth and magnitude in surface-hardened nickel-based superalloys using electron backscattered diffraction. The findings offer a adaptable approach for analyzing surface-hardened materials.

Keywords:
Local misorientation analysisNickel-based superalloyScanning electron microscopyShot peeningSingle crystals

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Area of Science:

  • Materials Science
  • Surface Engineering
  • Crystallography

Background:

  • Cold work and its depth are critical in surface engineering for metallic materials.
  • Surface hardening techniques induce significant cold work, affecting material properties.
  • Accurate quantification of cold work is essential for predicting performance.

Purpose of the Study:

  • To develop and detail a methodology for quantifying cold work depth and magnitude in surface-hardened materials.
  • To analyze electron backscattered diffraction (EBSD) image datasets for reliable cold work estimation.
  • To investigate the influence of scanning electron microscope (SEM) and post-acquisition parameters on EBSD analysis outcomes.

Main Methods:

  • Utilized electron backscattered diffraction (EBSD) image datasets from surface-hardened nickel-based superalloy single crystals.
  • Employed local misorientation analysis to establish estimates of cold work depth and magnitude.
  • Systematically varied scanning electron microscope (SEM) acquisition and post-acquisition analysis parameters to assess their impact.

Main Results:

  • Successfully established a reliable methodology for estimating cold work depth and magnitude from EBSD data.
  • Detailed the effects of various SEM acquisition and post-acquisition parameters on the accuracy of cold work analysis.
  • Published the Python script used for the analysis, ensuring reproducibility and adaptability.

Conclusions:

  • The presented methodology provides accurate quantification of cold work in surface-hardened nickel-based superalloys.
  • The findings highlight the importance of optimizing SEM and post-acquisition parameters for reliable EBSD analysis.
  • The methodology and script are adaptable for diverse surface-hardened materials and techniques, advancing surface engineering research.