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Research Papers: Gas Turbines: Combustion, Fuels, and Emissions

Computational Modeling of Turbulent Mixing of a Transverse Jet

[+] Author and Article Information
Elizaveta M. Ivanova1

Institute of Combustion Technology, German Aerospace Center (DLR), Stuttgart 70569, Germanyelizaveta.ivanova@dlr.de

Berthold E. Noll

Institute of Combustion Technology, German Aerospace Center (DLR), Stuttgart 70569, Germanyberthold.noll@dlr.de

Manfred Aigner

Institute of Combustion Technology, German Aerospace Center (DLR), Stuttgart 70569, Germanymanfred.aigner@dlr.de

1

Corresponding author.

J. Eng. Gas Turbines Power 133(2), 021505 (Oct 28, 2010) (7 pages) doi:10.1115/1.4002015 History: Received April 14, 2010; Revised June 02, 2010; Published October 28, 2010; Online October 28, 2010

This paper presents numerical simulations of turbulent mixing of a jet in crossflow. The test case is chosen to resemble scalar mixing processes in the premixing zones of gas turbine combustion chambers. Steady and unsteady simulations employing three different computational approaches are presented: steady Reynolds-averaged Navier–Stokes, unsteady Reynolds-averaged Navier–Stokes, and scale-adaptive simulations. Presented results comprise the (time-averaged) profiles of flow velocities, turbulent kinetic energy of the flow, Reynolds stresses, passive scalar distribution, turbulent scalar fluxes, and the turbulent variance of the passive scalar. All presented results are directly validated against experimental data. Additionally, two parameter studies are presented. Both studies are related to the accuracy of the turbulent scalar mixing predictions for all used simulation methods. In the first study, the dependence of the scalar mixing predictions on the value of the turbulent Schmidt number is considered. In the second study, the dependence of the predicted turbulent scalar variance on the used modeling approach is analyzed.

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Copyright © 2011 by American Society of Mechanical Engineers
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Figures

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Figure 1

Flow configuration, computational domain, and coordinate system

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Figure 2

Basic computational grid (800,000 points)

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Figure 3

Components of the flow velocity vector. z/d=0. For URANS and SAS, time-averaged profiles are presented.

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Figure 4

Turbulent kinetic energy and ux′uy′¯. z/d=0. For URANS and SAS, k and ux′uy′¯ are the sum of the resolved and modeled parts.

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Figure 5

Profiles of the modeled, the resolved, and the total turbulent kinetic energy of the flow in URANS and SAS

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Figure 6

Dimensionless turbulent viscosity in the symmetry plane of the computational domain (time-averaged for URANS and SAS)

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Figure 7

Square root of ux′2¯ and uy′2¯. z/d=0. For URANS and SAS, ux′2¯ and uy′2¯ are the sum of the resolved and modeled parts.

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Figure 8

Grid dependence of the Uy¯ velocity component and of the turbulent kinetic energy. y/d=5 and z/d=0.

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Figure 9

Mean dimensionless scalar. z/d=0. For URANS and SAS, time-averaged profiles are presented.

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Figure 10

Mean dimensionless scalar. Profiles along the z-axis. RANS profiles along the negative z-direction are obtained by the mirroring of the profiles along the positive z-direction. For URANS and SAS, time-averaged profiles are presented.

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Figure 11

Square root of the turbulent scalar variance and turbulent scalar flux. σf=0.25 and z/d=0. For URANS and SAS, f′2¯ and f′ux′¯ are the sum of the resolved and unresolved components. The unresolved part of f′2¯ is obtained via Eq. 6.

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Figure 12

Square root of the turbulent scalar variance. σf=0.25 and z/d=0. For URANS and SAS, f′2¯ is the sum of the resolved and unresolved parts.

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