摘要
作为风电机组的核心部件,叶片的性能将直接影响风力机的安全、稳定运行.为发挥复合纤维的可设计潜力,提高叶片的刚度,对其铺层参数开展优化设计.以叶片最大位移为目标函数、铺层角度为设计变量,考虑对称性制造约束,建立了优化问题的数学模型.应用PYTHON语言对ABAQUS软件进行二次开发,采用遗传算法对模型进行求解计算,得到了优化的叶片铺层方案.结果表明:优化后叶片的最大位移降低了6.86%,刚度性能得到提升,验证了该方法的可行性和有效性.
As a core component of wind turbine,the performance of blades will directly affect its safety and reliability of operation.In order to increase the designable potential of composite fiber material and stiffness of blade,the optimal design of ply parameters is researched.Taking the maximum displacement of blade as the optimal objective function,ply angle as a design variable and symmetry manufacture as a constraint,the optimized mathematical model was established.The second development of ABAQUS is carried out with the Python language,the model is solved by genetic algorithm,and the optimized ply scheme of blade is obtained.The results show that the maximum displacement of the optimized blade is reduced by 6.86%,and the stiffness of the blades is also improved.Thus,the feasibility and validity of the method is verified.
作者
郭文强
孙鹏文
张兰挺
龙凯
GUO Wen-qiang;SUN Peng-wen;ZHANG Lan-ting;LONG Kai(School of Mechanical Engineering,Inner Mongolia University of Technology,Hohhot 010051,China;State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China)
出处
《内蒙古工业大学学报(自然科学版)》
2020年第5期356-361,共6页
Journal of Inner Mongolia University of Technology:Natural Science Edition
基金
国家自然科学基金项目(51865041)
内蒙古自然科学基金项目(2019MS05070)
新能源电力系统国家重点实验室开放课题(LAPS20019)。
关键词
铺层角度
优化数学模型
遗传算法
对称约束
风力机叶片
ply angle
optimized mathematical model
genetic algorithm
symmetric constraint
wind turbine blade