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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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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.
Y. W. Wang, C. H. King, B. S. Pei
Nuclear Technology | Volume 83 | Number 1 | October 1988 | Pages 56-64
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT88-A34175
Articles are hosted by Taylor and Francis Online.
A wide range of combinations of gas and liquid flow rates that form various flow patterns are investigated. By analyzing the signal spectra detected by a single sensor using light techniques, the criteria for identifying two-phase flow patterns are proposed. By applying these criteria with only one parameter, the high-frequency contribution fraction (HFCF), the reasonable identifying performance is 76% when churn flow is counted and 88% when churn flow is not counted. When ᾱ is added as an auxiliary to HFCF, the identifying performance can be increased to 83 and 96%, depending on whether churn flow is counted. Both parameters can be acquired by signals from a single void fraction sensor. The criteria are expected to apply to other void fraction measurable systems for identifying two-phase flow patterns.
