将风力机翼型气动性能与气动噪声同时作为翼型优化目标,建立了低速翼型的多目标优化设计方法,包括利用Bezier曲线对翼型几何结构进行参数化建模,使用位势流动与边界层迭代(IBL)的流动分析方法计算翼型流场,采用Brooks-Pope-Marcolini翼型自噪声半经验模型预测气动噪声,利用Powell优化方法求得优化翼型.以naca0012翼型为例,对多种目标权重分配方案的优化目标进行设计和计算.结果表明:与原始翼型相比,在设计工况下,优化翼型的升阻比提高,噪声降低,可以获得更好的气动性能和声学性能.
Taking both the aerodynamic and aeroacoustic performance as the objectives of optimization, a multi-objective optimization method was proposed for low-speed airfoils by using Bezier curves to describe the airfoil geometry, applying the analysis method of iterative potential flow and boundary layer (IBL) flow to calculate the flow field, using the Brooks-Pope-Marcolini airfoil self-noise semi-empirical model to predict the aerodynamic noise and adopting Powell method to obtain the optimized airfoil. The multi-objective optimization method has been verified with a NACA0012 prototype airfoil in different weight assignment schemes. Results show that compared with the prototype airfoil, the optimized one has a higher liftdrag ratio, lower acoustic level and better aerodynamic and aeroacoustic performance under design condi- tions.