|About this Abstract
||2022 TMS Annual Meeting & Exhibition
||Advanced Characterization and Modeling of Nuclear Fuels: Microstructure, Thermo-physical Properties
||N-2: An Experimentally Validated Mesoscale Model for the Effective Thermal Conductivity of UZr Fuels
||Monika Singh, Timothy Coffman, Fergany Badry, Moiz Butt, Mohammed Gomaa Abdoelatef, Katie Anderson, James Jewell, Rory R. Kennedy, Collin J. Knight , Mitchell K. Meyer, Sean McDeavitt, Karim Ahmed
|On-Site Speaker (Planned)
The effective thermal conductivity of nuclear fuels strongly depends on the underlying microstructure. We conducted a combined experimental and computational work to investigate this relationship in UZr fuels with different microstructures and theoretical densities. A microstructure informed model was developed to simulate effective thermal conductivity of UZr fuels at different temperatures and porosity levels. The model accounts for the thermal resistance of the interfaces and able to predict the effective conductivity of the fuel for different fuel densities, microstructures, and temperatures. A companion experimental work was also conducted to correlate the effective thermal conductivity of U-10Zr pellets and the underlying microstructure using 3D x-ray tomography and the laser flash method. The model was validated against the experimental data obtained in this work.
||Computational Materials Science & Engineering, Nuclear Materials,