Integrated multifidelity, multidisciplinary evolutionary design optimization of counterrotating compressors

被引:33
作者
Joly, Michael M. [1 ]
Verstraete, Tom [1 ]
Paniagua, Guillermo [1 ]
机构
[1] von Karman Inst Fluid Dynam, Turbomachinery & Prop Dept, B-1640 Rhode St Genese, Belgium
关键词
Evolutionary computing; differential evolution; multidisciplinary design optimization; turbomachinery; counterrotating compressor; DIFFERENTIAL EVOLUTION; MULTIOBJECTIVE OPTIMIZATION; GENETIC ALGORITHM; SYSTEM;
D O I
10.3233/ICA-140463
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In high-speed air-breathing propulsion, compact turbomachinery is essential to reduce the engine size and weight. Hence, high compression ratios are required in the compressor stages. This paper proposes an optimization-based integrated design approach, which unifies aerodynamic and structural issues and provides innovative solutions in reduced time-to-market and development cost compared to traditional design methods. The methodology consists of two successive evolutionary optimizations; the first with low-fidelity radial distributions based on experimental correlations and the second with high-fidelity aerostructural performances. The key to allow a smooth transition between the low-fidelity preliminary design phase and the high-fidelity three-dimensional rotor shape optimization is a novel geometrical parameterization based on span-wise distributions. A differential evolution algorithm is employed to confront simultaneously the concurrent multidisciplinary objectives of aerodynamic efficiency and structural integrity. The proposed methodology was demonstrated with the design of a two-stage highly loaded compact counterrotating compressor.
引用
收藏
页码:249 / 261
页数:13
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