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      Modeling of turbulent flow through radial diffuser

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          Abstract

          The work considers the modeling of turbulent flow in radial diffuser with axial feeding. Due to its claimed capability to predict flow including features such as separation, curvature and adverse pressure gradient, the RNG k-epsilon model of Orzag et al. (1993) is applied in the present analysis. The governing equations are numerically solved using the finite volume methodology. Experiments were conducted to assess the turbulence model. Numerical results of pressure distribution on the front disk surface for different flow conditions when compared to the experimental data indicated that the RNG k-epsilon model is adequate to predict this class of flow.

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          Most cited references20

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          The numerical computation of turbulent flows

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            Numerical heat transfer and fluid flow

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              Statistische Theorie nichthomogener Turbulenz

              J Rotta (1951)
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                Author and article information

                Journal
                jbsms
                Journal of the Brazilian Society of Mechanical Sciences
                J. Braz. Soc. Mech. Sci.
                The Brazilian Society of Mechanical Sciences (Rio de Janeiro, RJ, Brazil )
                0100-7386
                2000
                : 22
                : 1
                : 31-41
                Affiliations
                [01] Florianopolis SC orgnameFederal University of Santa Catarina orgdiv1Department of Mechanical Engineering Brazil
                Article
                S0100-73862000000100003 S0100-7386(00)02200103
                10.1590/S0100-73862000000100003
                a49378b0-7a5a-4663-a61d-883b3bd4d8f8

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 26, Pages: 11
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                SciELO Brazil


                Radial Diffuser,RNG k-epsilonmodel,Turbulence
                Radial Diffuser, RNG k-epsilonmodel, Turbulence

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