About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
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Symposium
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Advanced Characterization Techniques for Quantifying and Modeling Deformation
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Presentation Title |
L-4: Pythonic ODFs and SODFs for EBSD and Far Field HEDM |
Author(s) |
Austin Gerlt, Eric Payton, Donald Boyce, Joel Bernier, Paul Shade, Mark Obstalecki, Stephen Niezgoda |
On-Site Speaker (Planned) |
Austin Gerlt |
Abstract Scope |
Orientation distribution functions (ODFs) describe the statistical likelihood of finding a given local orientation within a volume of interest. Likewise, Stress orientation Distribution Functions (SODFs) give information about the elastic mechanical state of a material as a function of orientation. Several parameterizations exist for efficiently solving both, with H.J. Bunge’s spherical harmonics approach in 1984 and Ashish Kumar’s finite element approach in 1996 being the two most popular.
Both methods have had excellent open source adaptations since the early 2000’s (Most notably MTEX by Ralph Hielscher and ODFPF by Donald Boyce, respectively), but to the author’s knowledge, neither have been implemented in a free to use software language. This talk will discuss two parallel efforts for implementing these methods into pythonic toolsets (ORIX for spherical harmonics and HEDM for finite element, respectively), thus lowering the barrier of entry for the global community into the world of texture analysis. |
Proceedings Inclusion? |
Planned: |
Keywords |
Characterization, Computational Materials Science & Engineering, |