About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
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| Symposium
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Accelerated Qualification Methods for Nuclear Reactor Structural Materials
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| Presentation Title |
High-throughput dual-ion beam irradiation and autonomous synthesis platform for accelerated nuclear materials design for fusion applications |
| Author(s) |
Adrien Couet, Nathan Curtis, Nicholas Crnkovich, Nate Eklof, Zack Rielley, Matthias Beuting, Qingyuan Li, Ali Nabaa, Riya Anandpara, Pravan Omprakash, John Cavin, Rohan Mishra, Lianyi Chen |
| On-Site Speaker (Planned) |
Adrien Couet |
| Abstract Scope |
Accelerating the qualification of structural materials for advanced reactors, including fusion, requires rapid, reproducible testing under extreme environments. We present the recent results of a novel high-throughput dual-beam ion irradiation system to study refractory high-entropy alloys (RHEAs) under fusion-relevant conditions. RHEAs are designed using a machine learning based DFT and CALPHAD approach and are processed through a novel autonomous high-throughput additive manufacturing system. The irradiation platform at UW-Madison now supports dual-beam exposure and includes an in-line thermal conductivity microscope for rapid post-irradiation characterization, in addition to rapid evaluation of irradiation induced hardening, void swelling, and surface morphology. Results on a subset of RHEAs, as well as less compositionally complex alloys will be presented. This approach is enabling the down-selection and performance prediction of radiation-tolerant alloys with unprecedented speed, supporting the broader goal of reducing nuclear material qualification timelines. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Nuclear Materials, High-Entropy Alloys |