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Research Papers: Gas Turbines: Turbomachinery

Innovative Turbine Stator Well Design Using a Kriging-Assisted Optimization Method

[+] Author and Article Information
Julien Pohl

Marie Curie Fellow,
School of Mechanical Engineering,
University of Leeds,
Leeds LS2 9JT, UK
e-mail: jul.pohl@gmx.de

Harvey M. Thompson

Professor
Computational Fluid Dynamics,
School of Mechanical Engineering,
University of Leeds,
Leeds LS2 9JT, UK

Ralf C. Schlaps

Design Systems Engineering,
Rolls-Royce PLC,
Derby DE24 8BJ, UK

Shahrokh Shahpar

CFD Methods,
Rolls-Royce plc.,
Derby DE24 8BJ, UK

Vincenzo Fico, Gary A. Clayton

Thermo-Fluid Systems,
Rolls-Royce plc.,
Derby DE24 8BJ, UK

Contributed by the Turbomachinery Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received September 28, 2016; final manuscript received October 6, 2016; published online February 14, 2017. Editor: David Wisler.

J. Eng. Gas Turbines Power 139(7), 072603 (Feb 14, 2017) (9 pages) Paper No: GTP-16-1472; doi: 10.1115/1.4035288 History: Received September 28, 2016; Revised October 06, 2016

At present, it is a common practice to expose engine components to main annulus air temperatures exceeding the thermal material limit in order to increase the overall engine performance and to minimize the engine specific fuel consumption. To prevent overheating of the materials and thus the reduction of component life, an internal flow system is required to cool and protect the critical engine parts. Previous studies have shown that the insertion of a deflector plate in turbine cavities leads to a more effective use of reduced cooling air, since the coolant is fed more effectively into the disk boundary layer. This paper describes a flexible design parameterization of an engine representative turbine stator well geometry with stationary deflector plate and its implementation within an automated design optimization process using automatic meshing and steady-state computational fluid dynamics (CFD). Special attention and effort is turned to the flexibility of the parameterization method in order to reduce the number of design variables to a minimum on the one hand, but increasing the design space flexibility and generality on the other. Finally, the optimized design is evaluated using a previously validated conjugate heat transfer method (by coupling a finite element analysis (FEA) to CFD) and compared against both the nonoptimized deflector design and a reference baseline design without a deflector plate.

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References

Figures

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Fig. 1

Stator well flow structure with stationary deflector plate

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Fig. 2

Schematic representation of the optimization strategy using Kriging in SOFT

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Fig. 3

Mesh of upstream TSW cavity with deflector plate merged to the main annulus

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Fig. 4

Geometrical parameter definition of the deflector plate: (a) shape definition and (b) position inside the cavity

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Fig. 5

Convergence history of the optimization

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Fig. 6

An objective function over constraint for evaluated designs

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Fig. 7

An overview of the Kriging prediction contoured by the adiabatic rotor disk temperature θdisc,ad

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Fig. 8

Contours of swirl ratio for the optimized (left) and nonoptimized deflector plate (right) in a midplane cut

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Fig. 9

Contours of fluid temperature for the optimized (left) and nonoptimized deflector plate (right) in a midplane cut

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Fig. 10

Metal temperature contours for three different geometries

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Fig. 11

Comparison of metal temperatures

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