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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.
A. I. Nikitenko, S. M. Tolokonnikov
Fusion Science and Technology | Volume 51 | Number 4 | May 2007 | Pages 705-716
Technical Paper | doi.org/10.13182/FST07-A1468
Articles are hosted by Taylor and Francis Online.
A method of ICF targets parameters reconstruction from the set of backlit shadowgraph images was developed. Proposed approach can be used for nondestructive inner (DT ice in the case of cryotarget) surface quality characterization of single- and double-layered targets and shells.Previously designed computer 3D ray-tracing model allowed us to carry out detailed investigation of the target shadowgraph image formation, to localize rays forming bright ring and to infer analytical description of this rays' group. Having been guided by this experience we designed an algorithm of inner surface shape determination using bright ring location on target's image and developed corresponding software package.This package provides a wide set of image processing tools: both general processing (pointwise operations, spatial filtering, maximums and edges localization, etc.) and specific methods (3D reconstruction, inner and outer surfaces RMS and power spectra estimation, results' visualization in different forms, etc).Proposed method and its software implementation were tested using two kinds of image sets - set of backlit photographs of real one-layered shells and set of digitally synthesized shadowgraph images.