TY - JOUR
T1 - A collaborative effort towards the accurate prediction of turbulent flow and heat transfer in low-Prandtl number fluids
AU - Shams, Afaque
AU - Roelofs, Ferry
AU - Tiselj, Iztok
AU - Oder, Jure
AU - Bartosiewicz, Yann
AU - Duponcheel, Mathieu
AU - Niceno, Bojan
AU - Guo, Wentao
AU - Stalio, Enrico
AU - Angeli, Diego
AU - Fregni, Andrea
AU - Buckingham, Sophia
AU - Koloszar, Lila
AU - Villa Ortiz, Augustin
AU - Planquart, Philippe
AU - Narayanan, Chidambaram
AU - Lakehal, Djamel
AU - Van Tichelen, Katrien
AU - Jäger, Wadim
AU - Schaub, Thomas
N1 - Score=10
PY - 2020/9/1
Y1 - 2020/9/1
N2 - This article reports the experimental and DNS database that has been generated, within the framework of the EU SESAME and MYRTE projects, for various low-Prandtl flow configurations in different flow regimes. This includes three experiments: confined and unconfined backward facing steps with low-Prandtl fluids, and a forced convection planar jet case with two different Prandtl fluids. In terms of numerical data, seven different flow configurations are considered: a wall-bounded mixed convection flow at low-Prandtl number with varying Richardson number (Ri) values; a wall-bounded mixed and forced convection flow in a bare rod bundle configuration; a forced convection confined backward facing step (BFS) with conjugate heat transfer; a forced convection impinging jet for three different Prandtl fluids corresponding to two different Reynolds numbers of the fully developed planar turbulent jet; a mixed-convection cold-hot–cold triple jet configuration corresponding to Ri = 0.25; an unconfined free shear layer for three different Prandtl fluids; and a forced convection infinite wire-wrapped fuel assembly. This wide range of reference data is used to evaluate, validate and/or further develop different turbulent heat flux modelling approaches, namely simple gradient diffusion hypothesis (SGDH) based on constant and variable turbulent Prandtl number; explicit and implicit algebraic heat flux models; and a second order turbulent heat flux model. Lastly, this article will highlight the current challenges and perspectives of the available turbulence models, in different codes, for the accurate prediction of flow and heat transfer in low-Prandtl fluids.
AB - This article reports the experimental and DNS database that has been generated, within the framework of the EU SESAME and MYRTE projects, for various low-Prandtl flow configurations in different flow regimes. This includes three experiments: confined and unconfined backward facing steps with low-Prandtl fluids, and a forced convection planar jet case with two different Prandtl fluids. In terms of numerical data, seven different flow configurations are considered: a wall-bounded mixed convection flow at low-Prandtl number with varying Richardson number (Ri) values; a wall-bounded mixed and forced convection flow in a bare rod bundle configuration; a forced convection confined backward facing step (BFS) with conjugate heat transfer; a forced convection impinging jet for three different Prandtl fluids corresponding to two different Reynolds numbers of the fully developed planar turbulent jet; a mixed-convection cold-hot–cold triple jet configuration corresponding to Ri = 0.25; an unconfined free shear layer for three different Prandtl fluids; and a forced convection infinite wire-wrapped fuel assembly. This wide range of reference data is used to evaluate, validate and/or further develop different turbulent heat flux modelling approaches, namely simple gradient diffusion hypothesis (SGDH) based on constant and variable turbulent Prandtl number; explicit and implicit algebraic heat flux models; and a second order turbulent heat flux model. Lastly, this article will highlight the current challenges and perspectives of the available turbulence models, in different codes, for the accurate prediction of flow and heat transfer in low-Prandtl fluids.
KW - Heat transfer
KW - Low-Prandtl
KW - Experiment
KW - DNS
KW - Turbulence models
UR - https://ecm.sckcen.be/OTCS/llisapi.dll/open/40187788
U2 - 10.1016/j.nucengdes.2020.110750
DO - 10.1016/j.nucengdes.2020.110750
M3 - Article
SN - 0029-5493
VL - 366
SP - 1
EP - 20
JO - Nuclear Engineering and Design
JF - Nuclear Engineering and Design
M1 - 110750
ER -