About this Abstract |
| Meeting |
2027 TMS Annual Meeting & Exhibition
|
| Symposium
|
Transmutation Effects in Materials in Fission, Fusion, and Spallation Environments
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| Presentation Title |
Automated Cavity Detection for High-Throughput Void Swelling Characterization |
| Author(s) |
Aaron Gabriel S. Penders, Jana Howard, Logan Clowers, Christopher Bearcroft, Mukesh Bachhav |
| On-Site Speaker (Planned) |
Aaron Gabriel S. Penders |
| Abstract Scope |
Volumetric swelling quantification remains a limiting step in qualifying structural alloys for advanced fission and fusion reactors, where accelerated alloy down-selection is essential to meeting near-term deployment timelines. Conventional irradiation studies and manual cavity characterization fail to probe the full irradiation parameter space these alloys may encounter in service. This work presents a high-throughput post-irradiation examination framework pairing a dual dynamic shutter system with automated computer vision based cavity detection. Dual-beam Fe2+/He2+ irradiations were performed across four candidate alloys at the Michigan Ion Beam Laboratory, imposing a continuous lateral He2+ implantation gradient across each alloy. Mask R-CNN based detection models were employed to resolve volumetric swelling and cavity number densities across the gradient at a throughput unattainable by manual STEM analysis. This combined semi-automated methodology captures swelling response continuously across transmutation gas content, establishing a scalable framework for rapid alloy qualification. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Nuclear Materials, Characterization, Computational Materials Science & Engineering |