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Heat Transfer Numerical Simulations with the Four Parameter k-w-kt-et Model for Low-Prandtl Number Liquid Metals

Authors: S. Bnà; G. Bornia; D. Cerroni; MANSERVISI, SANDRO; F. Menghini; SCARDOVELLI, RUBEN;

Heat Transfer Numerical Simulations with the Four Parameter k-w-kt-et Model for Low-Prandtl Number Liquid Metals

Abstract

The present work addresses a new effort towards the improvement of turbulence models for low-Prandtl number fluids, like heavy liquid metals, whose interest arises in many fields such as in the study of innovative nuclear fission reactors. The commonly used turbulence models are based on a similarity between the modeling of the velocity and energy Reynolds stress tensors that relies on the constant turbulent Prandtl number hypothesis. Unfortunately, for low-Prandtl number fluids, this assumption fails to reproduce the available experimental correlations and a rather different convective heat transfer behavior is observed. In order to simulate accurately liquid metal turbulent flows, in this work we consider the algebraic flux model (AFM) together with the four parameter k-w-kt-et model. We show some finite element numerical results by investigating the case of a vertical annular geometry. These results are compared with the simple eddy diffusivity (SED) and the generalized gradient diffusion hypothesis (GGDH) models. For a large range of forced flows the k-w-kt-et model is a powerful tool for predicting the heat transfer in flows with large dissimilarity between velocity and thermal fields.

Country
Italy
Keywords

turbulence models; low-Prandtl number fluids; k-w-kt-et model

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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