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Division Spotlight
Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Argonne’s METL gears up to test more sodium fast reactor components
Argonne National Laboratory has successfully swapped out an aging cold trap in the sodium test loop called METL (Mechanisms Engineering Test Loop), the Department of Energy announced April 23. The upgrade is the first of its kind in the United States in more than 30 years, according to the DOE, and will help test components and operations for the sodium-cooled fast reactors being developed now.
X. Cheng, M. Zhao (KIT), X. J. Liu (SJTU)
Proceedings | Advances in Thermal Hydraulics 2018 | Orlando, FL, November 11-15, 2018 | Pages 227-240
The present study proposes two sets of correlations of heat transfer to supercritical water for the cases with given heat flux and given wall surface temperature, respectively. Three steps are taken to develop the new correlations. At first a large data base was established. The reliability of each test point in the data base was assessed with respect to its consistence and reproducibility. In the second step, important dimensionless parameters were identified with two different approaches, i.e. the Spearman's rank correlation and the group-wise statistic assessment. Both approaches led to the similar outcomes and identified the most important dimensionless parameters, which can be used to predict the heat transfer coefficient. In the third step, two sets of correlations were proposed for the cases of given heat flux and given wall surface temperature, respectively, to avoid iterative procedure and subsequently possible multiple solutions. Both correlations give reasonable prediction of the experimental data. Nevertheless, the correlation for the cases with given wall surface temperature shows much better accuracy than that for the cases of given heat flux.