Aerodynamic and Aeroacoustic Optimization of Propeller Based on Hanson Noise Model

基于Hanson噪声模型的螺旋桨气动与噪声优化设计

School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China

Received: 2 September 2019

Abstract

Aiming at the multi-objective optimization design problem of propeller aerodynamics and noise, the three-dimensional geometric deformation of the whole blade is carried out by the free-form surface deformation method based on non-uniform rational B-spline. In order to save the calculation cost of optimization, the RANS method and the Hanson model are combined to predict pure tone noise, and the prediction accuracy is comparable to the accuracy of the FW-H equation coupled with URANS method. Kriging surrogate model and non-dominated sorting genetic algorithm are used to search for optimal value, and a multi-objective optimization design framework for propeller aerodynamics and noise is established. This method is used to optimize the blade shape of a passenger airliner propeller, and the airfoil torsion angle and chord length of different positions are optimized as design variables. Compared with the basic blade, the noise value of the axial monitoring point near the cruise configuration under the wind tunnel experiment condition is reduced by about 0.25 dB at the same time as the power is reduced. In the case of a slight increase in power, the noise is reduced by about 1 dB.

摘要

针对螺旋桨气动与噪声多目标优化设计问题，采用基于非均匀有理B样条的自由曲面变形方法对全桨叶进行三维几何变形。为节省优化计算成本，将RANS方法和Hanson模型相结合预测纯音噪声，其预测精度与耦合URANS方法的FW-H方程相当。在此基础上，采用Kriging代理模型与非支配关系排序遗传算法进行优化搜索，建立了螺旋桨气动与噪声多目标优化设计框架。采用该框架对某民航客机螺旋桨进行优化设计，优化以叶片不同展向站位的翼型扭转角和弦长作为设计变量。相比基础桨叶，在功率不增加的情形下，巡航构型风洞试验状态的轴向监测点噪声值最大下降约0.25 dB，在功率略有增加的情形下，噪声降低约1 dB。