NEUP CINR-17-12701: Development and Experimental Benchmark of Computational Models to Predict Cladding Temperature and Vapor Removal from UNF Canisters during Drying Operations

This research will develop physics-based computational tools to predict used nuclear fuel cladding temperatures within, and water vapor removal rates from, canisters during existing and proposed drying processes, with a range of gas pressures (including rarefication), and steady and unsteady external gas flows rates. The tools will be used to develop drying processes that minimize drying time while maintaining cladding temperatures safely below radial hydride formation limits.

Additional Info

Field	Value
Awarded Institution	University of Nevada, Reno
PI	Miles Greiner