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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.
Willard G. Winn
Nuclear Technology | Volume 103 | Number 2 | August 1993 | Pages 262-273
Technical Paper | Radiation Application | doi.org/10.13182/NT93-A34848
Articles are hosted by Taylor and Francis Online.
Germanium detector efficiencies for vial geometries are modeled as ε = k[1- exp(-bh)]/bh, where h is the sample fill-level of the vial and k and b are constants relative to h. The model is tested against experimental data generated with 6 germanium detectors (8.8 to 90% standard efficiencies), 3 vials (24- to 64-mm diameters, 4- to 65-mm fill-levels), and 11 gamma energies (88 to 1836 keV). These data represent over 1000 comparisons between the model and experimental measurements. The overall agreement is within a few percent, with average deviations <1.0% and root-mean-square deviations <3%. For typical applications, the model requires only a few (2 to 3) vial calibration measurements, as opposed to the larger number (6 to 8) typically used for empirical data fitting. Methods and examples are discussed for use of the general model. Limits of the gen eral model, attenuation corrections for different sample media, and nondestructive assay calibrations for slab samples are also discussed. Also, possible model extensions are discussed for including gamma-energy dependence and Marinelli counting geometries.