摘要
随着风电发电技术的不断发展,对风力机的各项性能要求越来越高,气动噪声问题已成为风电行业研究的关键方向。以提高叶片的气动性能和降低噪声为设计目标,基于改进的Hicks-Henne型函数优化翼型结构方程,并结合多目标粒子群优化算法,对S8035翼型进行优化设计;利用Xfoil软件对优化后的翼型进行评估计算,并对其气动噪声和流动特性进行模拟仿真。分析结果表明优化后的叶片具有更好的气动特性和更低的噪声特性,验证了该设计方法的可行性。
With the development of wind power generation technology,the requirements for various performances of wind turbines are higher.Aerodynamic noise problem has become a key research direction of the wind power industry.Designed to improve the aerodynamic performance of the blade and reduce noise,this paper aims to improve the aerodynamic performance of the blade and reduce the noise,optimize the airfoil structural equation based on the improved Hicks-Henne function,and combine the multi-objective particle swarm optimization algorithm to optimize the design of the S8035 airfoil.Further more,the optimized airfoils are evaluated using XFOIL software and simulations are conducted to investigate their aerodynamic noise and flow characteristics.The results show that the optimized blade has better aerodynamic characteristics and lower noise,which verifies the feasibility of the design method.
作者
李莺珏
魏克湘
周舟
LI YingJue;WEI KeXiang;ZHOU Zhou(Department of Mechanical Engineering,Hunan Institute of Engineering,Xiangtan 411104,China;Hunan Province Engineering Laboratory of Wind Power Operation Maintenance and Testing Technology,Xiangtan 411104,China;Xiangtan Electric Manufacturing Co.,Ltd,Xiangtan 411102,China)
出处
《机械强度》
CAS
CSCD
北大核心
2020年第2期392-397,共6页
Journal of Mechanical Strength
基金
国家自然科学基金项目(11472103)
湖南省自然科学基金项目(2017JJ4017)资助。
关键词
风力发电
翼型结构
气动噪声
优化设计
多目标粒子群算法
Wind power
Airfoil structure
Aerodynamic noise
Optimal design
Multi-objective particle swarm algorithm
