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Tool for automatic macrozone characterization from EBSD data sets of titanium alloys.

B Fernández Silva1, M Jackson1, K Fox2

  • 1Department of Material Science and Engineering, University of Sheffield, Sheffield S1 3JD, United Kingdom.

Journal of Applied Crystallography
|June 7, 2023
PubMed
Summary
This summary is machine-generated.

A new MATLAB tool automatically identifies macrozones in titanium forgings using a refined crystallographic orientation analysis. This improves characterization of microtexture heterogeneities impacting fatigue performance in gas turbine engine components.

Keywords:
characterizationcrystal misorientation criteriaelectron backscatter diffractionmacrozonestexturetitanium alloys

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Area of Science:

  • Materials Science
  • Metallurgy
  • Crystallography

Background:

  • Microtexture heterogeneities, known as macrozones, are prevalent in titanium forgings due to thermomechanical processing.
  • These macrozones, characterized by grains with similar crystallographic orientation, reduce resistance to crack propagation.
  • A link exists between macrozones and reduced cold-dwell-fatigue performance in gas turbine engine components.

Purpose of the Study:

  • To develop and apply a computational tool for automatic macrozone identification from electron backscatter diffraction (EBSD) data.
  • To implement a more conservative approach considering both c-axis tilting and rotation for macrozone definition.
  • To enhance the characterization of microtexture heterogeneities in titanium forgings.

Main Methods:

  • Development of a MATLAB-based computational tool for macrozone identification.
  • Utilizing EBSD data sets for texture analysis.
  • Applying criteria based on disorientation angle and density-fraction for macrozone detection.

Main Results:

  • Successful automatic identification of macrozones in titanium forgings.
  • Validation of clustering efficiency using pole-figure plots.
  • Demonstration of the tool's applicability to both equiaxed and bimodal microstructures.

Conclusions:

  • The developed computational tool provides an effective method for macrozone identification.
  • The conservative approach improves the definition of macrozone boundaries and disorientation spread.
  • This tool aids in understanding and mitigating the impact of macrozones on fatigue performance.