About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Ceramics and Ceramic-Based Composites for Nuclear Applications III
|
| Presentation Title |
Image-Based Thermal Modeling of SiC/SiC Composites Using Synchrotron XCT |
| Author(s) |
David David Arregui-Mena, Christina Reinhard, Paul M Mummery, Takaaki Koyanagi |
| On-Site Speaker (Planned) |
David David Arregui-Mena |
| Abstract Scope |
Silicon carbide (SiC) ceramic matrix composites possess complex microstructures that present substantial challenges for predictive modeling in nuclear applications. Conventional thermomechanical models often overlook critical microstructural heterogeneities such as: porosity, fiber architecture, and the presence of multiple constituent phases. To address these limitations, this research proposes an image-based modeling framework informed by synchrotron x-ray computed tomography (XCT). XCT enables non-destructive, three-dimensional visualization of internal architectures, allowing for the reconstruction of realistic geometries that serve as the foundation for simulations.
In this study, the absolute thermal conductivity of three distinct SiC/SiC composites is evaluated to investigate the effects of fiber type and pore content on thermal performance. By integrating XCT-derived microstructural data, this work provides a pathway for quantifying how microstructural variations influence bulk thermal properties. The proposed framework establishes a foundation for accurate predictive models of SiC/SiC composites and supports ongoing efforts to qualify these materials for nuclear applications. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Ceramics, Characterization, Modeling and Simulation |