摘要
针对风机叶片工作时最大应力集中分布在叶片距离叶根部分1/3处,极易引起叶片疲劳破坏的问题,运用粒子群优化(PSO)算法结合有限元方法对某型号1.5 MW风机叶片根部危险区域铺层厚度进行优化设计,建立最大应力数学模型,以铺层厚度为设计变量,通过迭代搜索得到最优解.结果表明:风机叶片危险区域最大应力减小了5.25 MPa,风机叶片最大变形减小了78 mm,优化后叶片的一阶固有频率为0.73 Hz,一阶屈曲因子为2.79,满足了振动和稳定要求,提高了叶片的疲劳寿命.
The maximum stress of the blade occurs in the 1/3 region of the blade,which may cause the fatigue failure of the blade.The particle swarm optimization(PSO)algorithm combined with the finite element method was used to optimize the layer thickness of a 1.5 MW wind turbine blade root dangerous area.The maximum stress mathematical model was established and the layer thickness was used as variable.The optimal solution was obtained through iterative search.The results showed that the maximum stress in the dangerous area of the blade was reduced by 5.25 MPa,the maximum deformation of the blade was decreased by 78 mm,the optimized first-order natural frequency of the blade was 0.73 Hz and the first-order buckling factor was 2.79,which satisfied the requirements of vibration and stability and improved the blade's fatigue life.
作者
沈鑫成
孙后环
吴旭龙
SHEN Xincheng;SUN Houhuan;WU Xulong(School of Mechanical and Power Engineering,Nanjing Tech University,Nanjing 211816,China)
出处
《轻工学报》
CAS
2019年第6期103-108,共6页
Journal of Light Industry
基金
江苏省六大人才高峰高层次人才资助项目(2012-ZBZZ-047)
关键词
风机叶片
铺层厚度
粒子群优化算法
wind turbine blade
layup thickness
particle swarm optimization(PSO)algorithm
