Advanced high turning compressor airfoils for low Reynolds number condition. Part I: Design and optimization
Advanced high turning compressor airfoils for low Reynolds number condition. Part I: Design and optimization
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先进的高转速压缩机翼型适用于低雷诺数条件。
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
H. Schreiber
中科院分区：
文献类型：
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作者：
Toyotaka Sonoda;Y. Yamaguchi;T. Arima;M. Olhofer;B. Sendhoff;H. Schreiber
使用进化算法开发了低雷诺数条件（Re = 1.3 × 10 5 ）下的高性能压气机翼型，以提高出口导叶（OGV）的性能，该出口导叶用于公务喷气式飞机小型涡扇发动机的单个低压涡轮（LPT）。设计过程采用两种不同的数值优化方法，进化策略（ES）和多目标遗传算法（MOGA），以最小化低雷诺数条件下设计点的总压损失和偏差角。特别是，对于MOGA，考虑了针对入射角变化的鲁棒性。优化过程包括叶片几何形状的表示、数值网格的生成以及使用准三维纳维-斯托克斯求解器和 k-ω 湍流模型（包括新实现的过渡模型来评估性能）进行叶片间分析。对两种优化叶片的总体空气动力学性能和边界层特性进行了数值讨论。通过与传统受控扩散翼型（CDA）的比较，证明了两种优化翼型的优越性能。性能优势已通过详细的实验研究得到证实，这些实验研究将在本文的第二部分中介绍。
High performance compressor airfoils at a low Reynolds number condition at (Re = 1.3 × 10 5 ) have been developed using evolutionary algorithms in order to improve the performance of the outlet guide vane (OGV), used in a single low pressure turbine (LPT) of a small turbofan engine for business jet aircrafts. Two different numerical optimization methods, the evolution strategy (ES) and the multi-objective genetic algorithm (MOGA), were adopted for the design process to minimize the total pressure loss and the deviation angle at the design point at low Reynolds number condition. Especially, with respect to the MOGA, robustness against changes of the incidence angle is considered. The optimization process includes the representation of the blade geometry, the generation of a numerical grid and a blade-to-blade analysis using a quasi-three-dimensional Navier-Stokes solver with a k-ω turbulence model including a newly implemented transition model to evaluate the performance. Overall aerodynamic performance and boundary layer properties for the two optimized blades are discussed numerically. The superior performance of the two optimized airfoils is demonstrated by a comparison with conventional controlled diffusion airfoils (CDA). The advantage in performance has been confirmed by detailed experimental investigations, which are presented in Part II of this paper.