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作 者:宋翔 余培汛[1] 白俊强[1] 韩啸[1] 彭嘉辉 SONG Xiang;YU Peixun;BAI Junqiang;HAN Xiao;PENG Jiahui(School of Aeronautics, Northwestern Polytechnical University, Xi′an 710072, China)
出 处:《西北工业大学学报》2020年第4期685-694,共10页Journal of Northwestern Polytechnical University
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。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.
关 键 词:自由曲面变形方法(FFD) 多重参考坐标系(MRF) Hanson噪声模型 非支配关系排序算法(NSGAⅡ)
分 类 号:V211.4[航空宇航科学与技术—航空宇航推进理论与工程]
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