About this Abstract |
Meeting |
2022 TMS Annual Meeting & Exhibition
|
Symposium
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Materials Design and Processing Optimization for Advanced Manufacturing: From Fundamentals to Application
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Presentation Title |
Finding a Balance in FeCrAl, Optimizing Fabrication Routes and Chemistry Utilizing Experiments, Modeling, and Machine Learning |
Author(s) |
Andrew K. Hoffman, Vipul Gupta, Bojun Feng, Sayan Ghosh, Rajnikant Umretiya, Raul Rebak |
On-Site Speaker (Planned) |
Andrew K. Hoffman |
Abstract Scope |
FeCrAl alloys have traditionally been used for commercial applications when high temperature oxidation resistance is crucial such as heating elements and catalytic converters. More recently, FeCrAl alloys have garnered the attention of the nuclear industry as they make prime candidates for accident tolerant fuel cladding. Because this material has not traditionally been used in light water reactor environments, it’s important to optimize the properties of FeCrAl alloys for this unique application. This study includes work at General Electric to optimize corrosion and mechanical properties of FeCrAl alloys by adjusting the fabrication route and chemistry of these alloys. Additionally, machine learning is being utilized to identify optimized alloys. Results from experiments, modeling, and machine learning will be presented. |
Proceedings Inclusion? |
Planned: |
Keywords |
Nuclear Materials, Phase Transformations, Machine Learning |