About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
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Symposium
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AI/Data Informatics: Computational Model Development, Validation, and Uncertainty Quantification
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Presentation Title |
M-5: Advanced Analytics on 3D X-ray Tomography of Irradiated Silicon Carbide Claddings |
Author(s) |
Fei Xu, Joshua J. Kane, Peng Xu, Jason Schulthess, Sean Gonderman |
On-Site Speaker (Planned) |
Fei Xu |
Abstract Scope |
Silicon Carbide (SiC) ceramic matrix composite (CMC) cladding is currently being pursued as one of the leading candidates for accident tolerant fuels. Material properties and defects were only measured on the material surfaces which cannot provide essential measurements to evaluate the material performance. Computed tomography (CT) is available at INL’s Materials and Fuels Complex, which can provide data-rich and non-destructive characterization. In this work, we presented a novel analytic method to unveil the defects in SiC CMC cladding and the discussion of the results from multiple samples. Moreover, the implementation of a new model to detect fiber toes structure on reconstructed 3D images is also introduced. Lastly, conclusive findings are included in this work. In the future, more transmission electron microscopy (TEM) experiments based on small-scale samples will be conducted to figure out the reasons causing cracks/defects, and a physic-informed model to predict crack propagation will be developed. |
Proceedings Inclusion? |
Planned: |
Keywords |
Characterization, Computational Materials Science & Engineering, Extraction and Processing |