About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
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Symposium
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Fatigue in Materials: Fundamentals, Multiscale Characterizations and Computational Modeling
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Presentation Title |
Capturing Spatial Fields of Deformation ahead of Fatigue Cracks in Alloys Using Dictionary-based Data Reduction Strategies on In Situ High-energy X-ray Diffraction Data |
Author(s) |
Kelly E. Nygren, Daniel Banco, Akihide Nagao, Shuai Wang, Matthew Miller, Eric Miller, Darren Pagan |
On-Site Speaker (Planned) |
Kelly E. Nygren |
Abstract Scope |
To capture the plastic deformation field ahead of a fatigue crack tip in 316L stainless steel, high-energy X-ray diffraction is combined with a new, dictionary-based data reduction algorithm. Strategies for reducing diffraction data on an area detector typically require either fully isolated diffraction peaks or fully overlapping diffraction rings, conditions often met by modifying a materials microstructure. The dictionary-based data reduction algorithm was designed to address the growing need to study “real” materials whose microstructures are complex and produce partially overlapping diffraction peaks. Utility of this method is demonstrated with a study of hydrogen pre-charged 316L austenitic stainless steel to elucidate the role of hydrogen on the development of plasticity ahead of a fatigue crack tip. Hydrogen is found to dramatically localize and enhance the defect generation ahead of the crack tip. The application of this technique for in situ fatigue crack growth studies will be discussed. |
Proceedings Inclusion? |
Planned: |
Keywords |
Characterization, Mechanical Properties, Environmental Effects |