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Research Papers

Improved Modeling Capabilities of the Airflow Within Turbine Case Cooling Systems Using Smart Porous Media

[+] Author and Article Information
Yanling Li

Department of Aeronautical and
Automotive Engineering,
Loughborough University,
Loughborough LE11 3TU, UK
e-mail: y.li3@lboro.ac.uk

A. Duncan Walker

Department of Aeronautical and
Automotive Engineering,
Loughborough University,
Loughborough LE11 3TU, UK
e-mail: a.d.walker@lboro.ac.uk

John Irving

Rolls-Royce plc,
P.O. Box 31, Moor Lane,
Derby DE24 8BJ, UK
e-mail: John.Irving2@Rolls-Royce.com

1Corresponding author.

Manuscript received May 15, 2018; final manuscript received October 26, 2018; published online November 22, 2018. Assoc. Editor: Riccardo Da Soghe.

J. Eng. Gas Turbines Power 141(5), 051003 (Nov 22, 2018) (12 pages) Paper No: GTP-18-1212; doi: 10.1115/1.4041933 History: Received May 15, 2018; Revised October 26, 2018

Impingement cooling is commonly employed in gas turbines to control the turbine tip clearance. During the design phase, computational fluid dynamics (CFD) is an effective way of evaluating such systems but for most turbine case cooling (TCC) systems resolving the small scale and large number of cooling holes is impractical at the preliminary design phase. This paper presents an alternative approach for predicting aerodynamic performance of TCC systems using a “smart” porous media (PM) to replace regions of cooling holes. Numerically CFD defined correlations have been developed, which account for geometry and local flow field, to define the PM loss coefficient. These are coded as a user-defined function allowing the loss to vary, within the calculation, as a function of the predicted flow and hence produce a spatial variation of mass flow matching that of the cooling holes. The methodology has been tested on various geometrical configurations representative of current TCC systems and compared to full cooling hole models. The method was shown to achieve good overall agreement while significantly reducing both the mesh count and the computational time to a practical level.

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References

Lattime, S. B. , and Steinetz, B. M. , 2004, “ High-Pressure Turbine Engine Clearance Control Systems: Current Practices and Future Directions,” AIAA J. Propul. Power, 20(2), pp. 302–311. [CrossRef]
Lattime, S. B. , Steinetz, B. M. , and Robbie, M. G. , 2005, “ Test Rig for Evaluating Active Turbine Blade Tip Clearance Control Concepts,” AIAA J. Propul. Power, 21(3), pp. 552–563. [CrossRef]
Melcher, K. J. , and Kypuros, J. A. , 2003, “ Towards a Fast-Response Active Turbine Tip Clearance Control,” NAAA Center for Aerospace Information, Hanover, MD, Report No. NASA/TM-2003-212627/REV1. https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20040031316.pdf
Andreini, A. , Soghe, R. D. , Facchini, B. , Maiuolo, F. , Tarchi, L. , and Coutandin, D. , 2013, “ Experimental and Numerical Analysis of Multiple Impingement Jet Arrays for an Active Clearance Control System,” ASME J. Turbomach., 135(3), p. 031016. [CrossRef]
Miller, D. S. , 1990, Internal Fluid Systems, 2nd ed., British Hydromechanics Research Association, Cranfield, UK, pp. 92–94.
Laxmi, K. M. , Kumar, V. R. , and Rao, Y. V. H. , 2013, “ Modelling and Simulation of Gas Flow Velocity in Catalytic Converter With Porous,” Int. J. Eng. Res. Appl., 3(3), pp. 518–522. http://www.ijera.com/papers/Vol3_issue3/CJ33518522.pdf
Pitsh, S. , Holmberg, S. , and Angster, J. , 2010, “ Ventilation System Design for a Church Pipe Organ Using Numerical Simulation and On-Site Measurement,” Build. Environ., 45(12), pp. 2629–2643. [CrossRef]
Alshare, A. A. , Simon, T. W. , and Strykowski, P. J. , 2010, “ Simulations of Flow and Heat Transfer in a Serpentine Heat Exchanger Having Dispersed Resistance With Porous-Continuum and Continuum Models,” Int. J. Heat Mass Transfer, 53(5/6), pp. 1088–1099. [CrossRef]
Missirlis, D. , Yakinthos, K. , Storm, P. , and Goulas, A. , 2007, “ Modelling Pressure Drop of Inclined Flow Through a Heat Exchanger for Aero-Engine Applications,” Int. J. Heat Fluid Flow, 28(3), pp. 512–515. [CrossRef]
Patursson, Ø. , Swift, M. R. , Tsukrov, I. , Simonsen, K. , Baldwin, K. , Fredriksson, D. W. , and Celikkol, B. , 2010, “ Development of a Porous Media Model With Application to Flow Through and Around a Net Panel,” Ocean Eng., 37(2–3), pp. 314–324. [CrossRef]
Vasilic, K. , Meng, B. , Kühne, H. C. , and Roussel, N. , 2011, “ Flow of Fresh Concrete Through Steel Bars: A Porous Medium Analogy,” Cem. Concr. Res., 41(5), pp. 496–503. [CrossRef]
Ford, C. L. , Carrotte, J. F. , and Walker, A. D. , 2013, “ The Application of Porous Media to Simulate the Upstream Effects of Gas Turbine Injector Swirl Vanes,” Comput. Fluids, 77, pp. 143–151. [CrossRef]
Pruthviraj, U. , Yaragal, S. C. , and Nagaraj, M. K. , 2013, “ Numerical Prediction of Air Flow Through Perforated Plates on Flat Surface,” Int. J. Innovative Res. Sci. Eng. Technol., 2(7), pp. 2863–2869. http://www.rroij.com/open-access/numerical-prediction-of-air-flow-through-perforated-plates-on-flat-surface.pdf
Hwang, J. J. , and Cheng, C. S. , 2001, “ Impingement Cooling in Triangular Ducts Using an Array of Side-Entry Wall Jets,” Int. J. Heat Mass Transfer, 44(5), pp. 1053–1063. [CrossRef]
Rowbury, D. A. , Oldfield, M. L. G. , and Lock, G. D. , 2001, “ A Method for Correlating the Influence of External Crossflow on the Discharge Coefficients of Film Cooling Holes,” ASME J. Turbomach., 123(2), pp. 258–265. [CrossRef]
Chi, Z. , Kan, R. , Ren, J. , and Jiang, H. , 2013, “ Experimental and Numerical Study of the Anti-Crossflows Impingement Cooling Structure,” Int. J. Heat Mass Transfer, 64, pp. 567–580. [CrossRef]
Bailey, J. C. , Intile, J. , Fric, T. F. , Tolpadi, A. K. , Nirmalan, N. V. , and Bunker, R. S. , 2003, “ Experimental and Numerical Study of Heat Transfer in a Gas Turbine Combustor Liner,” ASME J. Eng. Gas Turbines Power, 125(4), pp. 994–1002. [CrossRef]
Spring, S. , Lauffer, D. , Weigand, B. , and Hase, M. , 2010, “ Experimental and Numerical Investigation of Impingement Cooling in a Combustor Liner Heat Shield,” ASME J. Turbomach., 132(1), p. 011003. [CrossRef]
Da Soghe, R. , and Andreini, A. , 2013, “ Numerical Characterization of Pressure Drop Across the Manifold of Turbine Casing Cooling System,” ASME J. Turbomach., 135(3), p. 031017. [CrossRef]
ANSYS Fluent, 2013, “ ANSYS Fluent User's Guide r15,” Chapter 6: Cell Zone and Boundary Conditions, ANSYS, Canonsburg, PA, pp. 223–247.
Hoque, M. M. , Alam, M. M. , Ferdows, M. , and Beg, O. A. , 2013, “ Numerical Simulation of Dean Number and Curvature Effects on Magneto-Biofluid Flow Through a Curved Conduit,” Proc. Inst. Mech. Eng., Part H, 227(11), pp. 1155–1170. [CrossRef]

Figures

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Fig. 1

Typical TCC system: (a) side view and (b) end view

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Fig. 2

Manifold flow distribution [5]

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Fig. 3

Porous media representation of impingement cooling holes: (a) perforated plate (typical of impingement cooling holes) and (b) PM

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Fig. 4

An example of the computational domain used for the sensitivity study

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Fig. 5

Effect of flow angle and area ratio on mass flow distribution: aAR2=5,bAR2=4,cAR2=3,(d)AR2=2, eAR2=2,ΔT=0−400K, and (f)AR2=1

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Fig. 6

Normalized velocity magnitude contour plots with θ=68deg (showing 6 out of 20 IH): (a)AR2=5, (b)AR2=4, (c)AR2=3, (d)AR2=2, and (e)AR2=1

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Fig. 7

Computational domains with T-shaped inlet (t/d = 0.58, s/d = 8.33): (a) IH case and (b) PM case

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Fig. 8

Computational domains with T-shaped inlet (t/d = 0.58, s/d = 8.33): (a) without curvature and (b) with curvature

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Fig. 9

Mass flow distributions for cases with T-shaped inlet: (a)AR2=4, (b)AR2=3, (c)AR2=2, (d)AR2=2,ΔT=0−400K, and (e)AR2=1

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Fig. 10

Normalized velocity magnitude contour pots (left: IH case; right: PM case, showing first 7 out of 20 IH): (a)AR2=4, (b)AR2=3, (c)AR2=2, and (d)AR2=1

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Fig. 11

Effect of t/d on normalized mass flow distribution: (a)AR2=2 and (b)AR2=1

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Fig. 12

Normalized velocity magnitude contour plots with AR2 = 2 (showing 7 out of 20 IH)

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Fig. 13

Mass flow distribution for cases with t/d ratio of 0.35: (a)AR2=2 and (b)AR2=1

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Fig. 14

Mass flow distribution with T-shaped inlet: (a) effect of curvature, IH, AR2 = 2 and (b) comparison with PM, δ = 0.01

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Fig. 15

Normalized velocity magnitude contour plots for T-shaped inlet cases (IH): (a) no curvature, AR2 = 2, (b) high curvature (δ = 0.02), AR2 = 2, (c) low curvature (δ = 0.01), AR2 = 2, and (d) low curvature (δ = 0.01), AR2 = 1

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Fig. 16

Normalized velocity magnitude contour plots for T-shaped inlet cases (PM): (a) high curvature (δ = 0.02), AR2 = 2 and (b) low curvature (δ = 0.01), AR2 = 2

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