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Computational Fluid Dynamics Modeling of Impinging Gas-Jet Systems: I. Assessment of Eddy Viscosity Models

[+] Author and Article Information
M. Coussirat

CDIF, Dept. Mec. de Fluïds, Universidad Politècnica de Catalunya, Av. Diagonal 647, 08028 Barcelona, Spaincoussirat@mf.upc.es

J. van Beeck, J.-M. Buchlin

 von Kármán Institute for Fluid Dynamics, Belgium

M. Mestres

Instituto de Ingeniería del Agua y Medio Ambiente, Universidad Politècnica de Valencia, Spain

E. Egusguiza, X. Escaler

CDIF, Dept. Mec. de Fluïds, Universidad Politècnica de Catalunya, Av. Diagonal 647, 08028 Barcelona, Spain

J. Fluids Eng 127(4), 691-703 (Apr 19, 2005) (13 pages) doi:10.1115/1.1949634 History: Received July 21, 2004; Revised April 19, 2005

Computational fluid dynamics plays an important role in engineering design. To gain insight into solving problems involving complex industrial flows, such as impinging gas-jet systems (IJS), an evaluation of several eddy viscosity models, applied to these IJS has been made. Good agreement with experimental mean values for the field velocities and Nusselt number was obtained, but velocity fluctuations and local values of Nusselt number along the wall disagree with the experiments in some cases. Experiments show a clear relation between the nozzle-to-plate distance and the Nusselt number at the stagnation point. Those trends were only reproduced by some of the numerical experiments. The conclusions of this study are useful in the field of heat transfer predictions in industrial IJS devices, and therefore for its design.

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Copyright © 2005 by American Society of Mechanical Engineers
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Figures

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Figure 1

Characterization of impinging jets for single round nozzle (SRN) jet or single slot nozzle (SSN) jet

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Figure 2

Left: SRN jet numerical flow pattern indicating the domain of analysis (r∕D from 0 to 3, z∕D≃0.5). Right: Experimental (35) mean velocity profiles at several positions along the bottom wall, in the domain described earlier (box on left). Re0=2.3×104,H∕D=2.0,D=0.1016m.

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Figure 3

Mean and fluctuating velocity profiles for SRN jet at position r∕D=1.0, for Re0=2.3×104,H∕D=2.0,D=0.1016m. Upper left, mean velocities; upper right, urms fluctuations; lower right, vrms fluctuations; lower right, ui′uj′¯ fluctuations (average uv in figure). Experimental data from Cooper (35).

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Figure 4

Fluctuating u′v′¯ velocity profiles for SRN jet for several r∕D, with Re0=2.3×104,H∕D=2.0,D=0.1016m, (average uv in figure). Experimental data from Cooper (35).

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Figure 5

Variation of the Nusselt number profile along the wall for SRN jet case, H∕D=2.0, and D=0.1016m. Left, Re0=2.3×104; right, Re0=7.0×104. Experimental data from Baughn and Shimizu (3).

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Figure 6

Variation of the Nusselt number at the stagnation point (Nu0) with the ratio H∕D for Re0=2.3×104. Nozzle diameter D=0.1016m. Experimental data from Baughn and Shimizu (3).

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Figure 7

Variation of the Nusselt number at the stagnation point (Nu0) for changes in the ratio H∕B (nozzle width B=3.175mm). Left, Re0=1.1×104; right, Re0=2.2×104. Experimental data from Gardon and Afkirat (5).

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Figure 8

Variation of the Nusselt number at the stagnation point Nu0 with I for Re0=2.2×104,PrT=0.85. Nozzle width B=3.175mm.

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Figure 9

Variation of the Nusselt number at the stagnation point Nu0 with the length scale for Re0=1.1×104,Pr=0.85. Nozzle width B=3.175mm. Length scale: le1=Dh,le2=0.07Dh.

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Figure 10

Variation of the Nusselt number profile along the wall for inlet turbulence intensity (I) changes, SSN jet case Re0=1.1×104,H∕B=2.0,B=3.75mm. Left, Spalart-Allmaras model; right, V2F model. Experimental data from Gardon and Afkirat (5).

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