4.5 Article

An unsteady RANS study of thermal striping in a T-junction with sodium streams mixing at different temperatures

Journal

FRONTIERS IN ENERGY RESEARCH
Volume 10, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fenrg.2022.991763

Keywords

liquid metal-cooled fast reactor; T-junction; URANS; thermal stripping; thermal mixing

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Thermal striping in a T-junction with sodium streams mixing at different temperatures is studied using unsteady Reynolds-averaged simulation (RANS). The momentum ratio is found to have the greatest influence on the flow pattern, while the temperature difference and the bulk Reynolds number have little influence. The location of the separation point of the recirculation zone increases with the momentum ratio, while the location of the thermal front decreases with it. The sensitivity of temperature fluctuations to low-Reynolds-number turbulence models is investigated, revealing that the turbulence models underestimate the time-varying temperature fluctuations.
Thermal striping in a T-junction with sodium streams mixing at different temperatures is studied using unsteady Reynolds-averaged simulation (RANS). Different parameters including the momentum ratio of the streams (0.2-4.3), the temperature difference between the streams (15-35 K), and the bulk Reynolds number (5,000-9,000) are investigated. Simulation results demonstrate that the flow pattern is mainly determined by the momentum ratio, while the temperature difference and the bulk Reynolds number have little influence within the range considered. The location of the separation point of the recirculation zone increases with the momentum ratio while the location of the thermal front decreases with it. In addition, the sensitivity of the temperature fluctuations to a range of low-Reynolds-number turbulence models are studied, which demonstrate that the time-varying temperature fluctuations predicted by these turbulence models are significantly smaller than the experimental measurements. High-fidelity simulations which fully resolve the temperature fluctuations will be carried out as the future work to complement the statistics of the temperature fluctuation.

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