首页|Aerodynamic Characteristics and Noise Collaborative Optimization of an Airfoil

Aerodynamic Characteristics and Noise Collaborative Optimization of an Airfoil

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Aerodynamic noise is the main problem restricting its development nowadays in green energy,ocean engineering and aerospace engineering.In order to limit the aerodynamic noise of an airfoil structure,a method is proposed in this paper by designing low noise airfoils.This method optimized the aerodynamic noise of two-dimensional airfoil,and considered the aerodynamic performance of the airfoil at the same time.Based on Joukowski conformal transformation,airfoil geometry is pararneterized firstly.Then,the optimization model taking the lift-to-drag ratio and airfoil self-noise as the design objective,is established to modify the airfoil by active set algorithm until the airfoil can satisfy the design condition.Finally,the noise of the optimized airfoil is verified according to the prediction theory of airfoil noise.Moreover,the relationship between airfoil geometry and noise is analyzed.The results show that the lift-to-drag ratio of the optimized airfoil increased,and the noise also decreased.Thus,the optimization method can be used to address special design of low-noise airfoil.Besides,the optimization method in this paper can provide reference for improving lift-to-drag ratio and reducing noise of the airfoil in aircraft and submarine rudder system.

wind turbine bladelift-to-drag ratioaerodynamic noiseoptimization design of airfoilactive set algorithm

ZHAN Zhihuan、GU Chaojie、XIAO Qing、CHEN Dongyang

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Beijing Research Institute of Mechanical & Electrical Technology, Beijing 100041, China

College of Electrical, Energy and Power Engineering,Yangzhou University, Yangzhou 225127, Jiangsu, China

China Ship Development and Design Center, Wuhan 430064, Hubei, China

Supported by the Natural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of China

BK2019087111672261

2020

10.19823/j.cnki.1007-1202.2020.0030

武汉大学自然科学学报(英文版)
武汉大学

武汉大学自然科学学报(英文版)

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影响因子：0.066
ISSN：1007-1202
年,卷(期)：2020.25(3)
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