|About this Abstract
||2021 TMS Annual Meeting & Exhibition
||Thermal Property Characterization, Modeling, and Theory in Extreme Environments
||Mesoscale Modeling of the Effective Thermal Conductivity of a UO2-Mo Composite Nuclear Fuel
||Karim Ahmed, Fergany Badry
|On-Site Speaker (Planned)
The effective thermal conductivity of nuclear fuels strongly depends on the underlying microstructure. We developed a novel mesoscale model to investigate this relationship in UO2-Mo fuel composites. The model accounts for the thermal resistance of the UO2-Mo interface and able to predict the effective conductivity of the fuel for different fuel compositions, microstructures, and temperatures. The model has been implemented in the MOOSE framework. The model predicts higher effective thermal conductivity of UO2- Mo fuel for microstructures with continuous distribution of second phase than microstructures with dispersed second phase particles for the same volume fraction and temperature. The model results agree well with the experimental data from literature.