About this Abstract |
Meeting |
2024 TMS Annual Meeting & Exhibition
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Symposium
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Accelerated Qualification of Nuclear Materials Integrating Experiments, Modeling, and Theories
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Presentation Title |
Development of a Fission Gas Swelling Model for U-Mo Fuel Incorporating Fission Density, Grain Size, Fission Rate, and Coolant Inlet Temperature |
Author(s) |
ATM Jahid Hasan, Benjamin Beeler |
On-Site Speaker (Planned) |
ATM Jahid Hasan |
Abstract Scope |
There is a renewed interest in U-Mo fuel due to its forthcoming application in high-performance research reactors in the US. The main issue with U-Mo fuel is excessive swelling during operation. Fuel performance simulations have shown that the existing fission gas swelling (FGS) models may predict swelling incorrectly if microstructural features are not accounted for. Thus, a predictive FGS model incorporating fission density, grain size, fission rate, and coolant inlet temperature is implemented in this work. This model assumes FGS to be a sum of two logistic functions of fission density. The parameters of the logistic functions are then made to be functions of grain size. Finally, FGS is set to be scalable as a quadratic function of fission rate and coolant inlet temperature. This model is able to correctly reproduce lower-length-scale simulation predictions for fission gas swelling and can be implemented into engineering-scale fuel performance codes for safety analyses. |
Proceedings Inclusion? |
Planned: |
Keywords |
Nuclear Materials, Computational Materials Science & Engineering, Modeling and Simulation |