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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July 2017
Research-Article
Innovative Turbine Stator Well Design Using a Kriging-Assisted Optimization Method
Julien Pohl,
Julien Pohl
Marie Curie Fellow,
School of Mechanical Engineering,
University of Leeds,
Leeds LS2 9JT, UK
e-mail: jul.pohl@gmx.de
School of Mechanical Engineering,
University of Leeds,
Leeds LS2 9JT, UK
e-mail: jul.pohl@gmx.de
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Harvey M. Thompson,
Harvey M. Thompson
Professor
Computational Fluid Dynamics,
School of Mechanical Engineering,
University of Leeds,
Leeds LS2 9JT, UK
Computational Fluid Dynamics,
School of Mechanical Engineering,
University of Leeds,
Leeds LS2 9JT, UK
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Ralf C. Schlaps,
Ralf C. Schlaps
Design Systems Engineering,
Rolls-Royce PLC,
Derby DE24 8BJ, UK
Rolls-Royce PLC,
Derby DE24 8BJ, UK
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Shahrokh Shahpar,
Shahrokh Shahpar
CFD Methods,
Rolls-Royce plc.,
Derby DE24 8BJ, UK
Rolls-Royce plc.,
Derby DE24 8BJ, UK
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Vincenzo Fico,
Vincenzo Fico
Thermo-Fluid Systems,
Rolls-Royce plc.,
Derby DE24 8BJ, UK
Rolls-Royce plc.,
Derby DE24 8BJ, UK
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Gary A. Clayton
Gary A. Clayton
Thermo-Fluid Systems,
Rolls-Royce plc.,
Derby DE24 8BJ, UK
Rolls-Royce plc.,
Derby DE24 8BJ, UK
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Julien Pohl
Marie Curie Fellow,
School of Mechanical Engineering,
University of Leeds,
Leeds LS2 9JT, UK
e-mail: jul.pohl@gmx.de
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
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
Rolls-Royce PLC,
Derby DE24 8BJ, UK
Shahrokh Shahpar
CFD Methods,
Rolls-Royce plc.,
Derby DE24 8BJ, UK
Rolls-Royce plc.,
Derby DE24 8BJ, UK
Vincenzo Fico
Thermo-Fluid Systems,
Rolls-Royce plc.,
Derby DE24 8BJ, UK
Rolls-Royce plc.,
Derby DE24 8BJ, UK
Gary A. Clayton
Thermo-Fluid Systems,
Rolls-Royce plc.,
Derby DE24 8BJ, UK
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. Jul 2017, 139(7): 072603 (9 pages)
Published Online: February 14, 2017
Article history
Received:
September 28, 2016
Revised:
October 6, 2016
Citation
Pohl, J., Thompson, H. M., Schlaps, R. C., Shahpar, S., Fico, V., and Clayton, G. A. (February 14, 2017). "Innovative Turbine Stator Well Design Using a Kriging-Assisted Optimization Method." ASME. J. Eng. Gas Turbines Power. July 2017; 139(7): 072603. https://doi.org/10.1115/1.4035288
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