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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.
Ahmad Al Rashdan, Vivek Agarwal
Nuclear Technology | Volume 205 | Number 8 | August 2019 | Pages 1053-1061
Technical Paper – Special section on Big Data for Nuclear Power Plants | doi.org/10.1080/00295450.2019.1601469
Articles are hosted by Taylor and Francis Online.
The migration of paper-based work packages to an electronic version for the nuclear power industry results in opportunities for work optimization through data analytics and integration. This can only be achieved if the work package is broken into its data elements and stored in a structured data form. The contribution of this paper is the development of a set of guidelines that enables creating a data model from breaking the work package into its data elements. The data model can be used to create a common information model for work packages at nuclear power plants. The results presented and discussed in this paper highlight distinctive data model characteristics regarding the work element properties and associations; work package topology; properties cascade; elements and properties function; templates and instances; and steps flow. In total, 13 guidelines were identified as part of this work. The resulting benefits from the extracted data model are enabling step-level review of the work, reducing planning effort, and automating work package creation and formatting. In addition, coupling work process data with other data sources at the plant improves overall maintenance activity efficiency by enabling capabilities such as real-time schedule update and automatic allocation and release of work resources.