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Design Exploration of Helicopter Blades for HSI Noise and Aerodynamic Performance

机译:HSI噪声和空气动力性能的直升机叶片设计探索

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In this study, the high-speed impulsive (HSI) noise and aerodynamic performance of helicopter blades were improved using multi-objective design exploration (MODE) comprised of multi-objective shape optimization and data mining. To broaden the design space of the problem, geometry definitions with a high degree of freedom were adopted. As a result, remarkable improvements in both HSI noise and aerodynamic performance were achieved. For data mining, analysis of variance (ANOVA) and self-organizing map (SOM) were used to extract design knowledge of the helicopter blades. The results indicated that tip chord length and blade twist are important factors for HSI noise and aerodynamic performance, respectively. Based on the design knowledge obtained from data mining, an additional design variable (twist) was introduced. The solutions obtained from the shape optimization using variable twist showed better blade loading performance than that from shape optimization using fixed twist.
机译:在这项研究中,使用多目标设计探索(MODE)(包括多目标形状优化和数据挖掘)改善了直升机叶片的高速脉冲噪声(HSI)和空气动力学性能。为了拓宽问题的设计空间,采用了高度自由的几何定义。结果,在HSI噪声和空气动力学性能上均取得了显着改善。对于数据挖掘,使用方差分析(ANOVA)和自组织图(SOM)来提取直升机叶片的设计知识。结果表明,叶尖弦长和叶片扭曲分别是影响HSI噪声和空气动力性能的重要因素。基于从数据挖掘中获得的设计知识,引入了一个附加的设计变量(扭曲)。与使用固定扭曲的形状优化相比,使用可变扭曲的形状优化获得的解决方案显示出更好的叶片加载性能。

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