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

Impact of Swirl Flow on Combustor Liner Heat Transfer and Cooling: A Numerical Investigation With Hybrid Reynolds-Averaged Navier–Stokes Large Eddy Simulation Models

[+] Author and Article Information
Lorenzo Mazzei

Department of Industrial Engineering,
University of Florence,
via S. Marta 3,
Florence 50139, Italy
e-mail: lorenzo.mazzei@htc.de.unifi.it

Antonio Andreini

Department of Industrial Engineering,
University of Florence,
via S. Marta 3,
Florence 50139, Italy
e-mail: antonio.andreini@htc.de.unifi.it

Bruno Facchini

Department of Industrial Engineering,
University of Florence,
via S. Marta 3,
Florence 50139, Italy
e-mail: bruno.facchini@htc.de.unifi.it

Fabio Turrini

Combustors Product Engineering,
GE Avio S.r.l.,
via Primo Maggio 56,
Rivalta di Torino, TO 10040, Italy
e-mail: fabio.turrini@avioaero.com

1Corresponding author.

Contributed by the Combustion and Fuels Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received July 13, 2015; final manuscript received August 17, 2015; published online November 3, 2015. Editor: David Wisler.

J. Eng. Gas Turbines Power 138(5), 051504 (Nov 03, 2015) (10 pages) Paper No: GTP-15-1261; doi: 10.1115/1.4031622 History: Received July 13, 2015; Revised August 17, 2015

This paper reports the main findings of a numerical investigation aimed at characterizing the flow field and the wall heat transfer resulting from the interaction of a swirling flow provided by lean-burn injectors and a slot cooling system, which generates film cooling in the first part of the combustor liner. In order to overcome some well-known limitations of Reynolds-averaged Navier–Stokes (RANS) approach, e.g., the underestimation of mixing, the simulations were performed with hybrid RANS–large eddy simulation (LES) models, namely, scale-adaptive simulation (SAS)–shear stress transport (SST) and detached eddy simulation (DES)–SST, which are proving to be a viable approach to resolve the main structures of the flow field. The numerical results were compared to experimental data obtained on a nonreactive three-sector planar rig developed in the context of the EU project LEMCOTEC. The analysis of the flow field has highlighted a generally good agreement against particle image velocimetry (PIV) measurements, especially for the SAS–SST model, whereas DES–SST returns some discrepancies in the opening angle of the swirling flow, altering the location of the corner vortex. Also the assessment in terms of Nu/Nu0 distribution confirms the overall accuracy of SAS–SST, where a constant overprediction in the magnitude of the heat transfer is shown by DES–SST, even though potential improvements with mesh refinement are pointed out.

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References

Figures

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Fig. 1

Measured and predicted flow field on the median plane

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Fig. 2

Classical flow pattern of an array of swirles (top) and dome-attached swirling flow (bottom) [15]

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Fig. 3

Experimental apparatus [7]

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Fig. 4

Position of the PIV measurements planes

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Fig. 5

Sketch of the computational domain

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Fig. 6

Computational grids: mesh 1 (left, coarse) and 2 (right, fine)

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Fig. 7

Flow field on the center plane

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Fig. 8

Profiles of velocity component in streamwise direction (center plane)

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Fig. 9

Two-dimensional velocity on the median plane (PVC visualized by a constant pressure isosurface)

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Fig. 10

Effect of mesh refinement and turbulence modeling on the criterion proposed by Pope (center plane)

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Fig. 11

Effect of mesh refinement on the criterion proposed by Celik et al. [25] (center plane)

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Fig. 12

Nusselt number distributions on the central sector

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Fig. 13

Sketch of the main recirculation structures inside the test section

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Fig. 14

Laterally averaged Nusselt number augmentation

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