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Colin Judge: Testing structural materials in Idaho’s newest hot cell facility
Idaho National Laboratory’s newest facility—the Sample Preparation Laboratory (SPL)—sits across the road from the Hot Fuel Examination Facility (HFEF), which started operating in 1975. SPL will host the first new hot cells at INL’s Materials and Fuels Complex (MFC) in 50 years, giving INL researchers and partners new flexibility to test the structural properties of irradiated materials fresh from the Advanced Test Reactor (ATR) or from a partner’s facility.
Materials meant to withstand extreme conditions in fission or fusion power plants must be tested under similar conditions and pushed past their breaking points so performance and limitations can be understood and improved. Once irradiated, materials samples can be cut down to size in SPL and packaged for testing in other facilities at INL or other national laboratories, commercial labs, or universities. But they can also be subjected to extreme thermal or corrosive conditions and mechanical testing right in SPL, explains Colin Judge, who, as INL’s division director for nuclear materials performance, oversees SPL and other facilities at the MFC.
SPL won’t go “hot” until January 2026, but Judge spoke with NN staff writer Susan Gallier about its capabilities as his team was moving instruments into the new facility.
Shripad T. Revankar, Seungmin Oh, Wenzhong Zhou, Gavin Henderson
Nuclear Technology | Volume 170 | Number 1 | April 2010 | Pages 28-39
Technical Paper | Special Issue on the 2008 International Congress on Advances in Nuclear Power Plants / Thermal Hydraulics | doi.org/10.13182/NT10-A9443
Articles are hosted by Taylor and Francis Online.
A condensation correlation was developed for vapor and air mixture condensation in a vertical tube based on experimental data and a mechanistic model based on heat and mass analogy model. Parametric computations were performed using a heat and mass analogy model for various operating parameters of the passive condenser system. The parameters investigated were noncondensable gas mass fraction Wbulk, mixture gas Reynolds number ReG, and Jacob number JaG. An alternating conditional expectation (ACE) regression algorithm was used to develop the condensation heat transfer correlation for the passive condenser. A total of 102600 data points was used as input to the ACE. Local condensation heat transfer correlations in terms of Nusselt number (Nucond) obtained were: Nucond = 0.08Wbulk-0.9ReG1.1exp(-42.5JaG) for turbulent flow and Nucond = 160Wbulk-0.9exp(-42.5JaG) for laminar flow. The correlations are valid for 0 Wbulk 0.5, 0 ReG 4 × 104 , 0.002 JaG 0.05. The prediction of the developed correlation agreed well with the available experimental data. The correlations are useful in predicting the heat transfer characteristics of a passive containment cooling system (PCCS) in an economic simplified boiling water reactor. These correlations apply to the three modes of PCCS operation, namely through-flow mode, complete condensation mode, and cyclic condensation and venting mode.