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Argonne: Where AI research meets education and training
Last September, in the Chicago suburb of Lemont, Ill., Argonne National Laboratory hosted its first AI STEM Education Summit. More than 180 educators from high schools, community colleges, and universities; STEM administrators; and experts in various disciplines convened at “One Ecosystem, Many Pathways–Building an AI-Ready STEM Workforce” to discuss how artificial intelligence is reshaping STEM-related industries, including the implications for the nuclear engineering classroom and workforce.
J. F. L. M. Brukx, G. P. R. Hansen, P. Voj
Nuclear Technology | Volume 33 | Number 1 | April 1977 | Pages 5-16
Technical Paper | Reactor | doi.org/10.13182/NT77-A31759
Articles are hosted by Taylor and Francis Online.
As part of the emergency core cooling studies for the SNR-300 reactor, the transient thermohydraulic behavior of the reactor inlet plenum was investigated. Using a simplified and scaled-down model of the plenum and using sodium as the working fluid, thermal shock experiments were performed for different mass flow rates and initial temperature differences. The measured temperature distributions of the test section were compared with calculated results of a computer program. Satisfactory agreement between theoretical and experimental results was obtained only if the influence of superimposed free convection on forced convection heat transfer was taken into account. The heat transfer coefficients used were theoretical results calculated by the computer program CØFFCØ. The experimental results consolidated the theoretical heat transfer coefficients for turbulent combined free and forced convection for a modified Rayleigh number ranging from 4 × 105 to 6 × 106.