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Research Papers

Novel Compressor Blade Shaping Through a Free-Form Method

[+] Author and Article Information
Alistair John

Department of Mechanical Engineering,
University of Sheffield,
Sheffield S1 3JD, UK
e-mail: adjohn1@sheffield.ac.uk

Shahrokh Shahpar

Rolls-Royce plc.,
Derby DE24 8BJ, UK
e-mail: shahrokh.shahpar@rolls-royce.com

Ning Qin

Department of Mechanical Engineering,
University of Sheffield,
Sheffield S1 3JD, UK
e-mail: n.qin@sheffield.ac.uk

Contributed by the International Gas Turbine Institute (IGTI) of ASME for publication in the JOURNAL OF TURBOMACHINERY. Manuscript received September 7, 2016; final manuscript received December 24, 2016; published online March 15, 2017. Editor: Kenneth Hall.

J. Turbomach 139(8), 081002 (Mar 15, 2017) (11 pages) Paper No: TURBO-16-1228; doi: 10.1115/1.4035833 History: Received September 07, 2016; Revised December 24, 2016

This paper describes the use of the free-form-deformation (FFD) parameterization method to create a novel blade shape for a highly loaded, transonic axial compressor. The novel geometry makes use of precompression (via an S-shaping of the blade around midspan) to weaken the shock and improve the aerodynamic performance. It is shown how free-form-deformation offers superior flexibility over traditionally used parameterization methods. The novel design (produced via an efficient optimization method) is presented and the resulting flow is analyzed in detail. The efficiency benefit is over 2%, surpassing other results in the literature for the same geometry. The precompression effect of the S-shape is analyzed and explained, and the entropy increase across the shock (along the midblade line) is shown to be reduced by almost 80%. Adjoint surface sensitivity analysis of the datum and optimized designs is presented, showing that the S-shape is located in the region predicted to be most significant for changes in efficiency. Finally, the off-design performance of the blade is analyzed across the rotor characteristics at various speeds.

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References

Benini, E. , 2004, “ Three-Dimensional Multi-Objective Design Optimization of a Transonic Compressor Rotor,” J. Propul. Power, 20(3), pp. 559–565. [CrossRef]
Duta, M. C. , Shahpar, S. , and Giles, M. B. , 2007, “ Turbomachinery Design Optimization Using Automatic Differentiated Adjoint Code,” ASME Paper No. GT2007-28329.
Chen, N. , Zhang, H. , Xu, Y. , and Huang, W. , 2007, “ Blade Parameterization and Aerodynamic Design Optimization for a 3D Transonic Compressor Rotor,” J. Therm. Sci., 16(2), pp. 105–114. [CrossRef]
Wang, X. , Wang, S. , and Han, W. , 2008, “ Multi-Objective Aerodynamic Design Optimization Based on Camber Line and Thickness Distribution for a Transonic Compressor Rotor,” ASME Paper No. IMECE2008-66345.
Samad, A. , and Kim, K. Y. , 2008, “ Multi-Objective Optimization of an Axial Compressor Blade,” J. Mech. Sci. Technol., 22(5), pp. 999–1007. [CrossRef]
Brooks, C. J. , Forrester, A. I. J. , Keane, A. J. , and Shahpar, S. , 2011, “ Multi-Fidelity Design Optimisation of a Transonic Compressor Rotor,” 9th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics, Istanbul, Turkey, Mar. 21–29, Vol. 2, pp. 1267–1276.
Shahpar, S. , Polynkin, A. , and Toropov, V. , 2008, “ Large Scale Optimization of Transonic Axial Compressor Rotor Blades,” AIAA Paper No. 2008-2056-891.
Polynkin, A. , Toropov, V. , and Shahpar, S. , 2010, “ Multidisciplinary Optimization of Turbomachinery Based on Metamodel Built by Genetic Programming,” AIAA Paper No. 2010-9397.
Ginder, R. B. , and Calvert, W. J. , 1987, “ The Design of an Advanced Civil Fan Rotor,” ASME J. Turbomach., 109(3), pp. 340–345. [CrossRef]
Adamczyk, J., private communication.
Hield, P., Compressor Aerodynamics Specialist, Rolls-Royce, private communication.
Dunham, J. , 1998, “ CFD Validation for Propulsion System Components (la Validation CFD des Organes des Propulseurs),” Advisory Group for Aerospace Research and Development, Neuilly-sur-Seine, France, Report No. AGARD-AR-355.
Reid, L. , and Moore, R. D. , 1978, “ Performance of Single-Stage Axial-Flow Transonic Compressor With Rotor and Stator Aspect Ratios of 1.19 and 1.26, Respectively, and With Design Pressure Ratio of 1.82,” NASA Lewis Research Center; Cleveland, OH, Report No. NASA-TP-1338.
Shahpar, S. , and Lapworth, L. , 2003, “ PADRAM: Parametric Design and Rapid Meshing System for Turbomachinery Optimisation,” ASME Paper No. GT2003-38698.
Coquillart, S. , 1990, “ Extended Free-Form Deformation: A Sculpturing Tool for 3D Geometric Modeling,” ACM SIGGRAPH Comput. Graph., 24(4), pp. 187–196.
Lapworth, L. , 2004, “ Hydra-CFD: A Framework for Collaborative CFD Development,” International Conference on Scientific and Engineering Computation (IC-SEC), Singapore, June 30–July 2, Vol. 30.
Menter, F. R. , 1993, “ Zonal Two Equation k-ω Turbulence Models for Aerodynamic Flows,” AIAA Paper 93-2906.
Seshadri, P. , Parks, G. T. , and Shahpar, S. , 2014, “ Leakage Uncertainties in Compressors: The Case of Rotor 37,” J. Propul. Power, 31(1), pp. 456–466. [CrossRef]
Chima, R. V. , 2009, “ SWIFT Code Assessment for Two Similar Transonic Compressors,” AIAA Paper No. 2009-1058.
Seshadri, P. , Shahpar, S. , and Parks, G. T. , 2014, “ Robust Compressor Blades for Desensitizing Operational Tip Clearance Variations,” ASME Paper No. GT2014-26624.
Shahpar, S. , 2005, “ SOPHY: An Integrated CFD Based Automatic Design Optimization System,” Paper No. ISABE-2005-1086.
Bruce, P. J. K. , and Colliss, S. P. , 2015, “ Review of Research Into Shock Control Bumps,” Shock Waves, 25(5), pp. 451–471. [CrossRef]
Qin, N. , Wong, W. S. , and Le Moigne, A. , 2008, “ Three-Dimensional Contour Bumps for Transonic Wing Drag Reduction,” Proc. Inst. Mech. Eng., Part G, 222(5), pp. 619–629. [CrossRef]
Schmidt, J. F. , Moore, R. D. , Wood, J. R. , and Steinke, R. J. , 1987, “ Supersonic Through-Flow Fan Design,” AIAA Paper No. 87-1746.

Figures

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Fig. 5

Fine PADRAM mesh: (a) radial slice near LE and (b) meridional view

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Fig. 4

Example of a 3D FFD control grids (datum orange, perturbed blue)

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Fig. 3

Example of an FFD grid in 2D

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Fig. 2

Representation of NASA Rotor 37

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Fig. 1

Meridional view of NASA Rotor 37 [12]

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Fig. 6

Rotor 37 CFD domain

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Fig. 7

Simulated characteristics versus experiment

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Fig. 8

Radial profiles versus experiment

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Fig. 9

Suction surface: (a) adjoint sensitivities and (b) limiting streamlines with 3D streamlines and reverse flow volume

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Fig. 10

(a) Suction surface pressure distribution and (b) slice of entropy just downstream of shock

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Fig. 12

Typical MAM optimization history

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Fig. 11

SOPHY optimization flowchart

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Fig. 20

Relative Mach number and entropy along midblade line at 70% span

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Fig. 17

Datum static pressure contours

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Fig. 18

Optimized geometry static pressure contours showing the precompression effect

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Fig. 19

Schematic of shock structures: (a) datum and (b) optimized

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Fig. 15

Relative Mach number contour comparison at: 30% (a), 50% (b), and 70% (c) span

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Fig. 16

Suction surface static pressure contours: (a) datum and (b) optimum

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Fig. 21

Coefficient of pressure at 70% span

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Fig. 22

Adjoint surface sensitivities (efficiency): (a) datum and (b) optimized

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Fig. 23

Characteristics of datum and optimized designs

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Fig. 24

Effect of skewing the optimized blade

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Fig. 25

Varying rotational speed

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Fig. 13

Midspan optimized FFD control points

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Fig. 14

Comparison of 2D blade shapes

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Fig. 26

Radial efficiency profiles for datum and optimized blades

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