文章摘要
张 磊,王赫鸣,刘远强,徐 海,王 志.电动水上飞机低噪声螺旋桨翼型优化*[J].,2023,42(4):871-879
电动水上飞机低噪声螺旋桨翼型优化*
Aerofoil optimization of low noise propeller for electric seaplane
投稿时间:2022-04-15  修订日期:2023-06-29
中文摘要:
      以某型电动水上飞机螺旋桨使用的RAF-6翼型为研究对象,首先通过CFD/FW-H方法计算得到二维翼型的升、阻力系数以及气动噪声;其次使用型函数线性叠加描述翼型的几何形状;进而,以型函数系数为变量,将翼型的气动噪声最低作为优化目标,保证翼型气动性能不过多损失为约束,使用引入响应面模型的遗传算法对翼型进行降噪优化。通过优化翼型与基准翼型的对比可知,在保障翼型气动性能的前提下,优化翼型气动噪声声压级降低了2.17dB,且在各个频率与各个方向上噪声均明显降低。
英文摘要:
      Taking the RAF-6 airfoil, which is used by an electric seaplane, as the research object. Firstly, the lift and drag coefficient and aerodynamic noise of the two-dimensional airfoil were calculated by CFD/FW-H method. Secondly, linear superposition of shape function is used to describe the geometry of the airfoil. Furthermore, an aerodynamic noise optimization was conducted by using genetic algorithm applied with response surface model. The optimization takes the coefficient of shape function as the variable, the minimum aerodynamic noise of the airfoil as the optimization objective, and the aerodynamic performance of the airfoil as the constraint. The comparision between the optimized airfoil and the original airfoil shows that on the premise of ensuring the aerodynamic performance of the optimized airfoil, the sound pressure level of the optimized airfoil is reduced by 2.17dB, and the noise is significantly reduced in all frequencies and directions.
DOI:10.11684/j.issn.1000-310X.2023.04.023
中文关键词: 气动噪声  螺旋桨  翼型优化  降噪  遗传算法
英文关键词: Aerodynamic noise  Propeller  Airfoil Optimization  Noise reduction  Genetic algorithm
基金项目:辽宁省教育厅重点攻关类项目
作者单位E-mail
张 磊 中国民用航空沈阳航空器适航审定中心 沈阳 zhangl@syacc.org 
王赫鸣 沈阳航空航天大学航空发动机学院 沈阳 1119463815@qq.com 
刘远强 沈阳航空航天大学 Liuyuanqiang1988@126.com 
徐 海 中国民用航空沈阳航空器适航审定中心 沈阳 xuh@syacc.org 
王 志* 沈阳航空航天大学航空发动机学院 wangzi629@163.com 
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