Reference numerical database for turbulent flow and heat transfer in liquid metals

Shams, A.; Roelofs, F.; Ničeno, Bojan; Guo, Wentao; Angeli, Diego; Stalio, Enrico; Fregni, Andrea; Duponcheel, Matthieu; Bartosiewicz, Yann; Tiselj, Iztok; Oder, Jure

doi:10.1016/j.nucengdes.2019.110274

Cited by 7 publications

(3 citation statements)

References 33 publications

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“…The impinging jet configuration is characterized by the dimensionless jet-tosurface spacing, also called Aspect Ratio = AR H B / which is here set to = AR 2 as in Hattori and Nagano (2004), and by the Reynolds number = Re UB ν , with U the mean jet velocity and ν, the kinematic viscosity. Three cases were investigated using DNS (Shams et al, 2019b): a laminar, uniform velocity inlet at = Re 4000 (L4000), a fully developed turbulent inlet at Re = 4000 (T4000) and at Re = 5700 (T5700). The turbulent inlet profiles were obtained from an auxiliary channel flow simulation running simultaneously with the main jet simulation.…”

Section: Forced Convection Impinging Jet Flowmentioning

confidence: 99%

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A collaborative effort towards the accurate prediction of turbulent flow and heat transfer in low-Prandtl number fluids

Shams

Roelofs

Tiselj

et al. 2020

Nuclear Engineering and Design

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Section: Forced Convection Impinging Jet Flowmentioning

confidence: 99%

“…21. Comparison of the δ 75 velocity thickness (black) and of the δ T,75 temperature thicknesses at = Pr 1 (blue), 0.1 (green) and 0.01 (red):= Re 700 (Left) and = Re 4000 (Right) simulations (Shams et al, 2019b)…”

mentioning

confidence: 99%

A collaborative effort towards the accurate prediction of turbulent flow and heat transfer in low-Prandtl number fluids

Shams

Roelofs

Tiselj

et al. 2020

Nuclear Engineering and Design

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“…On the other hand, for lower Pr number fluids (e.g. liquid metals) the available validation data are still scarce and unreliable, especially in the natural convection regime and therefore new experiments are needed for the development of numerical models [4,5,6]. Measurement of THF is challenging as it requires simultaneous measurement of velocity and temperature fluctuations.…”

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confidence: 99%

Experimental analysis of natural convection in a differentially heated cavity

Carlesi,

Laboureur,

Planquart

et al. 2023

EPJ Web Conf.

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Turbulent heat fluxes (THFs) estimation is of paramount importance in the determination of heat transfer in fluids. Numerical models for low Prandtl number fluids are still unreliable and their experimental evaluation is a challenging task since it requires simultaneous measurement of fast velocity and temperature fluctuations. In nuclear applications, a better understanding of THFs in liquid metals could lead to more precise predictions of the primary coolant temperature for the evaluation of nominal operation (forced convection regime) and accidental conditions (mixed and/or natural convection regime). The first part of this work focuses on the selection of the measurement techniques suitable for water, GaInSn and LBE and the thorough literature review required. Tests in different setups led to the choice of sheathed type K thermocouples and fiber Bragg gratings for temperature measurements and Ultrasound Doppler Velocimetry and Hot Wire Anemometry for velocity measurements. The comparison carried out among the different techniques underlines advantages and limitations of each of them. Calibration of each technique is performed and cross-effects of temperature and velocity are evaluated. Uncertainty analyses are also carried out. To conclude, first results obtained in a differentially heated cavity made of stainless steel 316L with an edge of 60 mm are presented. DNS numerical simulations are performed to know the ranges of the quantities to be measured and to have results available for comparison with experiments.

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Numerical prediction of turbulent flow and heat transfer in buoyancy-affected liquid metal flows

Pucciarelli

Shams

Forgione

2023

Annals of Nuclear Energy

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Reference numerical database for turbulent flow and heat transfer in liquid metals

Cited by 7 publications

References 33 publications

A collaborative effort towards the accurate prediction of turbulent flow and heat transfer in low-Prandtl number fluids

A collaborative effort towards the accurate prediction of turbulent flow and heat transfer in low-Prandtl number fluids

Experimental analysis of natural convection in a differentially heated cavity

Numerical prediction of turbulent flow and heat transfer in buoyancy-affected liquid metal flows

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