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2025 ANS Winter Conference & Expo
November 8–12, 2025
Washington, DC|Washington Hilton
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Nuclear News 40 Under 40: The wait is over
Following the enthusiastic response from the nuclear community in 2024 for the inaugural NN 40 Under 40, the Nuclear News team knew we had to take up the difficult task in 2025 of turning it into an annual event—though there was plenty of uncertainty as to how the community would receive a second iteration this year. That uncertainty was unfounded, clearly, as the tight-knit nuclear community embraced the chance to celebrate its up-and-coming generation of scientists, engineers, and policy makers who are working to grow the influence of this oft-misunderstood technology.
Constantine P. Tzanos
Nuclear Technology | Volume 183 | Number 1 | July 2013 | Pages 88-100
Technical Paper | Thermal Hydraulics | doi.org/10.13182/NT13-A16994
Articles are hosted by Taylor and Francis Online.
Heat transfer coefficients have been computed for flow in a pipe and flow between two plates with correlations and turbulence models based on Reynolds Averaging of the Navier-Stokes (RANS) equations. Predictions of the correlations and those of RANS turbulence models have been compared with experimental data of flow in a pipe. The correlations considered are those of Dittus-Boelter, Seider-Tate, Petukhov, and Sleicher-Rouse, while the turbulence models include the standard high Reynolds number, the Reynolds stress model, the low Reynolds number, and the v2f model. There are significant differences in the predictions of the correlations as well as in those of the turbulence models. Although computational fluid dynamics simulations have wider applicability and provide more information than simulations using correlations, the heat transfer coefficient predicted by the turbulence models is not always more accurate than that predicted by correlations. The discrepancy in the heat transfer coefficient predicted by the turbulence models is due mainly to discrepancies in the prediction of turbulence near the wall and to the uncertainty in the value of the turbulent Prandtl number.