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Article . 2006
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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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Reynolds-Stress Model for Eulerian multiphase

Reynolds-stress model for Eulerian multiphase
Authors: D. Cokljat; M. Slack; S. A. Vasquez; A. Bakker; MONTANTE, GIUSEPPINA MARIA ROSA;

Reynolds-Stress Model for Eulerian multiphase

Abstract

Summary: This paper presents a way of modelling turbulence in multiphase flows within the context of the Reynolds-Stress Model. The model has been implemented in the general-purpose unstructured finite volume code Fluent V6. Two multiphase turbulence approaches were considered: mixture and dispersed models. The mixture model solves the Reynolds-stress transport equations on the mixture level only. The dispersed approach solves the Reynolds-stress transport equations for the continuous phase, while the turbulence closure for the dispersed phases is achieved by an extension of the theory of dispersion of discrete particles by homogeneous turbulence. The dispersed model was used to calculate bubbly flow over a cylindrical back-step and the flow in an unbaffled stirred vessel. The mixture approach was used to calculate an industrially relevant cyclone flow.

Country
Italy
Keywords

multiphase flows, Three or more component flows, Turbulent transport, mixing, Reynolds-stress model, RSM, Finite volume methods applied to problems in fluid mechanics, computational fluid dynamics, turbulent flows, CFD, Eulerian multiphase, turbulence modelling

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    influence
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selected citations
These citations are derived from selected sources.
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!
57
Top 10%
Top 10%
Average
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