Combined Large-Eddy and Direct Numerical Simulations of a Planar Jet with Heated Co-Flow with Medium and Low Prandtl Fluids

Journal Article (2022)
Author(s)

E. Cascioli (Belgian Nuclear Research Centre, TU Delft - ChemE/Transport Phenomena)

S. Keijers (Belgian Nuclear Research Centre)

K. Van Tichelen (Belgian Nuclear Research Centre)

J. Elin Vesper (TU Delft - ChemE/Transport Phenomena)

S. Kenjeres (TU Delft - ChemE/Transport Phenomena)

Research Group
ChemE/Transport Phenomena
Copyright
© 2022 E. Cascioli, S. Keijers, K. Van Tichelen, J.E. Vesper, S. Kenjeres
DOI related publication
https://doi.org/10.1016/j.ijheatmasstransfer.2022.122774
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 E. Cascioli, S. Keijers, K. Van Tichelen, J.E. Vesper, S. Kenjeres
Research Group
ChemE/Transport Phenomena
Volume number
191
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Abstract

In the present work, we have applied a combined dynamic large-eddy simulation (LES) and direct numerical simulation (DNS) approach for a three-dimensional planar jet in a turbulent forced convection regime (Re = 18000) with a heated co-flow. Results from LES are compared with Reynolds Averaged Navier-Stokes (RANS) simulations and experimental data. We have analyzed flow and heat transfer features for four values of the characteristic Prandtl numbers (Pr = 0.71, 0.2, 0.025, and 0.006), which are representatives of air, He-Xe gas mixture, Lead-Bismuth Eutectic (LBE), and sodium, respectively. The latter two low-Prandtl fluids have been considered because of their role as primary coolants in advanced fast pool-type reactor prototypes (such as the Multi-purpose Hybrid Research Reactor for High-tech Applications (MYRRHA) at SCK•CEN, Belgium). We have provided detailed insights into instantaneous and long-term time-averaged behavior of the velocity and temperature fields (the first- and second-order moments). Furthermore, we have analyzed profiles of characteristic velocity and temperature time scales and dissipation rates, as well as the power spectra of the streamwise velocity component and temperature at several characteristic locations. The mean temperature profiles demonstrated rather low sensitivity for various values of the Prandtl number. In contrast, profiles of the temperature standard deviation exhibited larger variations, decreasing in magnitude with lower Prandtl values. Here presented results of the high fidelity numerical simulations (dynamic LES/DNS) for the low-Prandtl working fluids can be used for further development, testing, and validation of the advanced RANS-type turbulence models.