Schmid factor aided slip pattern analysis; A method for determination of orientations of FCC crystals from slip traces

This study introduces a fast and cost-effective method for accurate crystallographic orientation determination from slip patterns of four and three traces, and from two traces with limited certainty. The method combines established graph-based and trigonometric methods and adds three new key elements: subsequent uniaxial stresses in X and Y directions, dark-field microscopy, and Schmid's law. Developed for face centered cubic (FCC) materials with low stacking fault energy and annealed structures, the method utilizes MATLAB-based algorithms and custom-built image processing software for enhanced efficiency. Its accuracy is validated against electron backscatter diffraction (EBSD) data collected prior to compression testing and slip pattern analysis. The developed software tools are made available with the study. This method offers significant potential for efficient texture and slip trace analysis.

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Publication Details

Journal
Materials Characterization
Published
2026-01-20
DOI
https://doi.org/10.1016/j.matchar.2026.116021
Primary Topic
Microstructure and mechanical properties
Type
article
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article

Schmid factor aided slip pattern analysis; A method for determination of orientations of FCC crystals from slip traces

Lassi Raami, Pasi Peura, Tuomo Nyyssönen, Jani Penttilä et al.
Materials Characterization
Microstructure and mechanical properties
article

Schmid factor aided slip pattern analysis; A method for determination of orientations of FCC crystals from slip traces

Lassi Raami, Pasi Peura, Tuomo Nyyssönen, Jani Penttilä, Veli-Tapani Kuokkala
article en

Abstract

This study introduces a fast and cost-effective method for accurate crystallographic orientation determination from slip patterns of four and three traces, and from two traces with limited certainty. The method combines established graph-based and trigonometric methods and adds three new key elements: subsequent uniaxial stresses in X and Y directions, dark-field microscopy, and Schmid's law. Developed for face centered cubic (FCC) materials with low stacking fault energy and annealed structures, the method utilizes MATLAB-based algorithms and custom-built image processing software for enhanced efficiency. Its accuracy is validated against electron backscatter diffraction (EBSD) data collected prior to compression testing and slip pattern analysis. The developed software tools are made available with the study. This method offers significant potential for efficient texture and slip trace analysis.

Materials CharacterizationVol. 233
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Microstructure and mechanical properties
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Schmid factor aided slip pattern analysis; A method for determination of orientations of FCC crystals from slip traces — Lassi Raami, Pasi Peura, et al. · Materials Characterization (2026) | TGRS Research Map | TGRS