Heat transfer to liquid metals in a hexagonal rod bundle with grid spacers: Experimental and simulation results

Pacio, J.; Litfin, K.; Batta, A.; Viellieber, Mathias; Class, Andreas G.; Doolaard, H.; Roelofs, F.; Manservisi, Sandro; Menghini, F.; Böttcher, Michael E.

doi:10.1016/j.nucengdes.2014.11.001

Cited by 39 publications

(3 citation statements)

References 18 publications

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“…The bundle is bounded by adiabatic solid walls. This particular configuration is used for experimental analysis [18]. Due to the symmetry of the geometry and boundary conditions it is possible to simulate only one twelfth of the entire bundle.…”

Section: Hexagonal Rod Bundlementioning

confidence: 99%

Numerical Validation of a Four Parameter Logarithmic Turbulence Model

Cerroni¹,

Vià²,

Manservisi³

et al. 2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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Abstract. Computational Fluid Dynamics codes are used in many industrial applications in order to evaluate interesting physical quantities, such as the heat transfer in turbulent flows. Commercial CFD codes use only turbulence models with an imposed constant turbulent Prandtl number P r t , which can give accurate results only for simulations when a strong similarity between the velocity field and the temperature field can be assumed. For fluids with a low Prandtl number, as for heavy liquid metals, a constant turbulent Prandtl number leads to an overestimation of the heat transfer, so experimental results and Direct Numerical Simulation cannot be reproduced. In this work we propose a new k-Ω-k θ -Ω θ turbulence model as an improvement of the k-ω-k θ -ω θ turbulence model, already validated by the authors, where Ω and Ω θ are calculated as the natural logarithm of the variables ω and ω θ . With this reformulation of the previous turbulence model we obtain some important advantages in numerical stability and robustness of the code. Results for the simulations of fully developed turbulent flows in two and three dimensional geometries are reported and compared with experimental correlations and DNS data, when available.

show abstract

Section: Hexagonal Rod Bundlementioning

confidence: 99%

Numerical Validation of a Four Parameter Logarithmic Turbulence Model

Cerroni¹,

Vià²,

Manservisi³

et al. 2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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show abstract

“…Furthermore, some liquid metals, like sodium, can flow in the liquid phase at a wide range of temperatures without need for high pressurized systems [1]. Due to these properties, liquid metals are currently considered in a broad range of industrial applications, including the production of steel and semiconductors, in thermal solar plants [2,3] and in Generation IV nuclear power plants [4][5][6], i.e., the Lead Fast Reactor (LFR) and the Sodium Fast Reactor (SFR).…”

Section: Introductionmentioning

confidence: 99%

A New Anisotropic Four-Parameter Turbulence Model for Low Prandtl Number Fluids

Barbi

Giovacchini

Manservisi

2021

Fluids

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Due to their interesting thermal properties, liquid metals are widely studied for heat transfer applications where large heat fluxes occur. In the framework of the Reynolds-Averaged Navier–Stokes (RANS) approach, the Simple Gradient Diffusion Hypothesis (SGDH) and the Reynolds Analogy are almost universally invoked for the closure of the turbulent heat flux. Even though these assumptions can represent a reasonable compromise in a wide range of applications, they are not reliable when considering low Prandtl number fluids and/or buoyant flows. More advanced closure models for the turbulent heat flux are required to improve the accuracy of the RANS models dealing with low Prandtl number fluids. In this work, we propose an anisotropic four-parameter turbulence model. The closure of the Reynolds stress tensor and turbulent heat flux is gained through nonlinear models. Particular attention is given to the modeling of dynamical and thermal time scales. Numerical simulations of low Prandtl number fluids have been performed over the plane channel and backward-facing step configurations.

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“…In this paper we assess a new logarithmic formulation of a four parameter turbulence model and show that, in this form, the numerical computation has many advantages: for example, near wall boundary conditions in x; x h are constant, the characteristic thermal and dynamical times can be computed directly as inverse of x and x h respectively, their ratio, R, simply as x=x h and their logarithmic forms are always positive so that artificial bounds can be avoided [1,[15][16][17].…”

Section: Introductionmentioning

confidence: 99%

A k–Ω–kθ–
Vià
¹
,
Manservisi
²
,
Menghini
³

2016
International Journal of Heat and Mass Transfer
Self Cite
23
0
14
0
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Heat transfer to liquid metals in a hexagonal rod bundle with grid spacers: Experimental and simulation results

Cited by 39 publications

References 18 publications

Numerical Validation of a Four Parameter Logarithmic Turbulence Model

Numerical Validation of a Four Parameter Logarithmic Turbulence Model

A New Anisotropic Four-Parameter Turbulence Model for Low Prandtl Number Fluids

A k–Ω–kθ–
Vià
¹
,
Manservisi
²
,
Menghini
³

2016
International Journal of Heat and Mass Transfer
Self Cite
23
0
14
0
View full text Add to dashboard Cite

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Heat transfer to liquid metals in a hexagonal rod bundle with grid spacers: Experimental and simulation results

Cited by 39 publications

References 18 publications

Numerical Validation of a Four Parameter Logarithmic Turbulence Model

Numerical Validation of a Four Parameter Logarithmic Turbulence Model

A New Anisotropic Four-Parameter Turbulence Model for Low Prandtl Number Fluids

A k–Ω–kθ–Vià1, Manservisi2, Menghini3 2016International Journal of Heat and Mass TransferSelf Cite230140View full textAdd to dashboardCite

Contact Info

Product

Resources

About

A k–Ω–kθ–
Vià
¹
,
Manservisi
²
,
Menghini
³

2016
International Journal of Heat and Mass Transfer
Self Cite
23
0
14
0
View full text Add to dashboard Cite