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Metamodel-Assisted Optimization of a High-Lift Low Pressure Turbine Blade

[+] Author Affiliations
Fabio Bigoni, Roberto Maffulli, Tony Arts, Tom Verstraete

von Karman Institute for Fluid Dynamics, Rhode Saint Genèse, Belgium

Paper No. GT2017-63991, pp. V02CT47A011; 8 pages
doi:10.1115/GT2017-63991
From:
  • ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition
  • Volume 2C: Turbomachinery
  • Charlotte, North Carolina, USA, June 26–30, 2017
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-5080-0
  • Copyright © 2017 by ASME

abstract

The scope of this work is to perform a single-objective optimization of the high-lift and aft-loaded T2 low pressure turbine blade profile previously designed at the von Karman Institute for Fluid Dynamics (VKI). At correct engine Mach and Reynolds numbers and for a uniform inflow at low turbulence level, a laminar separation bubble occurs in the decelerating part of the suction side.

The main goal of the optimization is to obtain a high-lift and aft-loaded blade characterized by lower aerodynamic losses with respect to the original profile.

The optimization uses a metamodel-assisted Differential Evolution algorithm, with an Ordinary Kriging metamodel performing the low-fidelity evaluations and Numeca FINE/Turbo for the high-fidelity ones.

The numerical results relative to the optimized profile are compared with those obtained for the baseline profile, in order to highlight the improvements on the blade aerodynamic performance coming from the optimization process.

Copyright © 2017 by ASME

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