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International Journal of Thermal Sciences
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Numerical investigation of a double-circuit Ranque–Hilsch vortex tube

Authors: Alekhin, Vladimir; BIANCO, VINCENZO; Khait, Anatoliy; Noskov, Alexander;

Numerical investigation of a double-circuit Ranque–Hilsch vortex tube

Abstract

Abstract The present paper reports a numerical investigation of a double-circuit Ranque–Hilsch vortex tube. Different turbulence models, namely k – e , k – e RNG, SAS-SST, RSM-LRR and LES, have been tested, in order to understand which is the most suitable for the considered problem. The analysis is conducted on a full three-dimensional model and the results show that LES turbulence model provides the best accuracy of temperature separation prediction, standard k – e and k – e RNG have the worst accuracy, whereas RSM-LRR and SAS-SST turbulence models take an intermediate position. On the contrary, LES model is the most expensive in terms of computational time and resources. The results obtained with LES highlight very high radial velocity values, which result in the enhancement of the turbulent heat and mass transfer, which implies a more accurate prediction of the temperature separation effect. The present study concludes that LES model provides the best accuracy for the simulation of a double-circuit Ranque–Hilsch vortex tube, but at the same time RSM-LRR and SAS-SST models are a good compromise between computational efficiency and accuracy.

Country
Italy
Keywords

Vortex tube; Turbulence models; Energy separation effect; Ranque-Hilsch, Vortex tube, Turbulence models, Energy separation effect, Ranque-Hilsch

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    42
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    Top 10%
    influence
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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!
42
Top 10%
Top 10%
Top 10%