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Research Papers

Numerical and Experimental Investigation of Turning Flow Effects on Innovative Pin Fin Arrangements for Trailing Edge Cooling Configurations

[+] Author and Article Information
C. Bianchini

Department of Energy Engineering “Sergio Stecco”, University of Florence, Via di Santa Marta 3, 50139 Firenze, Italycosimo.bianchini@htc.de.unifi.it

B. Facchini, F. Simonetti, L. Tarchi

Department of Energy Engineering “Sergio Stecco”, University of Florence, Via di Santa Marta 3, 50139 Firenze, Italy

S. Zecchi

 Avio Group, Via I Maggio 56, 10040 Rivalta di Torino, Italy

J. Turbomach 134(2), 021005 (Jun 22, 2011) (8 pages) doi:10.1115/1.4003230 History: Received September 01, 2010; Revised September 21, 2010; Published June 22, 2011; Online June 22, 2011

The effect of the array configuration of circular pin fins is investigated from a numerical and experimental point of view reproducing a typical cooling scheme of a real high pressure aero-engine blade. The airstream enters the domain of interest radially from the hub inlet and exits axially from the trailing edge (TE) outlet section. More than 100 turbulators are inserted in the wedge-shaped TE duct to enhance the heat transfer: A reference array implementing seven rows of staggered pins is compared with an innovative pentagonal arrangement. Investigations were made considering real engine flow conditions: Both numerical calculations and experimental measurements were performed fixing Re=18,000 and Ma=0.3 in the TE throat section. The effect of the tip mass flow rate was also taken into account, investigating 0% and 25% of the TE mass flow rate. The experimental activity was aimed at obtaining detailed heat transfer coefficient maps over the internal pressure side (PS) surface by means of the transient technique with thermochromic liquid crystals. Particle image velocimetry measurements were performed and surface flow visualizations were made by means of the oil and dye technique on the PS surface. Steady-state Reynolds averaged Navier–Stokes simulations were performed with two different computational fluid dynamics (CFD) codes: the commercial software Ansys CFX® 11.0 and an in-house solver based on the opensource toolbox OpenFOAM® , to compare the performance and predictive capabilities. Turbulence was modeled by means of the kω shear stress transport (SST) model with a hybrid near-wall treatment allowing strong clustering of the wall of interest as well as quite coarse refinement on the other viscous surfaces.

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Figures

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Figure 2

Experimental setup

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Figure 8

PIV results for G2.5—axial velocity u at L1 inlet

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Figure 9

PIV results for G2.5—radial velocity v at L1 inlet

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Figure 4

HTC maps for G2.5—comparison of experimental and numerical results—W/m2 K

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Figure 5

HTC maps for G2.6—comparison of experimental and numerical results—W/m2 K

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Figure 6

Spanwise averaged HTC—comparison of experimental and numerical results—W/m2 K

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Figure 7

Oil and dye surface visualization details—G2.5 and G2.6—Re=18,000

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Figure 10

PIV results—G2.5 velocity maps at tip outlet—Re=18,000 tip 0%—u2+v2 m/s

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Figure 1

Investigated geometries

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