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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.
Helmut Elbel, José LóPez Jiménez
Nuclear Technology | Volume 43 | Number 1 | April 1979 | Pages 88-99
Technical Paper | Fuel | doi.org/10.13182/NT79-A16177
Articles are hosted by Taylor and Francis Online.
The heat transfer coefficient of the interface between the fuel and the cladding of fast reactor fuel rods with different burnups was derived through the analysis of the structure of the UO2-PUO2 fuel A decrease of the heat transfer with increasing burn-up was found, resulting in rising fuel surface temperatures. The predictions of a theoretical heat transfer model agreed well with the experimental result. The deterioration of the heat transfer could be explained by fission gas release into the residual gap between fuel and cladding. Heat transfer through contact spots played a negligible role due to low contact pressure and very early formation of an oxide layer on the cladding.