| About this Abstract |
| Meeting |
MS&T21: Materials Science & Technology
|
| Symposium
|
Advanced Characterization of Materials for Nuclear, Radiation, and Extreme Environments
|
| Presentation Title |
Finding a Balance in FeCrAl Alloys: Utilizing Advanced Characterization, Testing, and Machine Learning to Balance Properties |
| Author(s) |
Andrew K. Hoffman, Vipul Gupta, Daniel Ruscitto, Bojun Feng, Sayan Ghosh, Raul Rebak |
| On-Site Speaker (Planned) |
Andrew K. Hoffman |
| Abstract Scope |
Due to their excellent performance in high temperature steam accident scenarios, FeCrAl alloys are being considered for commercial accident tolerant fuel cladding. Because FeCrAl alloys have traditionally been used for other high temperature applications (such as high temperature heating coils), understanding their behavior at lower temperatures and in light water reactor corrosion environments is paramount in accelerating the qualification of these materials. To elucidate a broader understanding of FeCrAl alloy behavior from a balanced perspective, GE Research is conducting experiments looking at the phase stability, corrosion behavior, and mechanical properties of FeCrAl alloys with varying compositions and microstructures. This experimental data is supplemented with CALPHAD modeling and probabilistic machine learning with intelligent experimental design to predict FeCrAl alloys optimized for performance and cost. |