Differential evolution based soft optimization to attenuate vane-rotor shock interaction in high-pressure turbines

Authors:
Michael M. Joly;Tom Verstraete;Guillermo Paniagua
Affiliations:
von Karman Institute for Fluid Dynamics, Chaussée de Waterloo 72, B-1640 Rhode Saint Genèse, Belgium;von Karman Institute for Fluid Dynamics, Chaussée de Waterloo 72, B-1640 Rhode Saint Genèse, Belgium;von Karman Institute for Fluid Dynamics, Chaussée de Waterloo 72, B-1640 Rhode Saint Genèse, Belgium
Venue:
Applied Soft Computing
Year:
2013

Citing 3
Cited 1

Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces

Journal of Global Optimization
Multiobjective optimization using a Pareto differential evolution approach

CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
An overview of evolutionary algorithms in multiobjective optimization

Evolutionary Computation

Multidisciplinary design optimization of a compact highly loaded fan

Structural and Multidisciplinary Optimization

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Abstract

This article presents a soft computing methodology to design turbomachinery components experiencing strong shock interactions. The study targets a reduction of unsteady phenomena using evolutionary optimization with robust, high fidelity, and low computational cost evaluations. A differential evolution (DE) algorithm is applied to optimize the transonic vane of a high-pressure turbine. The vane design candidates are examined by a cost-effective Reynolds-averaged Navier-Stokes (RANS) solver, computing the downstream pressure distortion and aerodynamic efficiency. A reduction up to 55% of the strength of the shock waves propagating downstream of the stand-alone vane was obtained. Subsequently to the vane optimization, unsteady computations of the vane-rotor interaction were performed using a non-linear harmonic (NLH) method. Attenuation above 60% of the unsteady forcing on the rotor (downstream of the optimal vane) was observed, with no stage-efficiency abatement. These results show the effectiveness of the proposed soft optimization to improve unsteady performance in modern turbomachinery exposed to strong shock interactions.