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ISSN 0254-0096 CN 11-2082/K

太阳能学报 ›› 2022, Vol. 43 ›› Issue (4): 440-445.DOI: 10.19912/j.0254-0096.tynxb.2020-0970

• 电化学储能安全性与退役动力电池梯次利用关键技术专题 • 上一篇    下一篇

基于DMO的风力机叶片细观纤维铺角优化设计

马志坤1, 孙鹏文, 张兰挺, 王栋4, 龙凯2   

  1. 1.内蒙古工业大学机械工程学院,呼和浩特 010051;
    2.新能源电力系统国家重点实验室(华北电力大学),北京 102206;
    3.内蒙古自治区先进制造技术重点实验室,呼和浩特 010051;
    4.北汽福田汽车股份有限公司研究院,北京 102206
  • 收稿日期:2020-09-11 出版日期:2022-04-28 发布日期:2022-10-28
  • 通讯作者: 张兰挺(1965—),女,硕士、教授,主要从事风力机叶片结构设计与优化方面的研究。zhanglt@imut.edu.cn。
  • 基金资助:
    国家自然科学基金(51865041); 新能源电力系统国家重点实验室开放课题(LAPS20019); 内蒙古自然科学基金(2019MS05070; 2020MS05022)

OPTIMIZATION DESIGN OF MICRO PLY ANGLE FOR WIND TURBINES BLADE BASED ON DMO

Ma Zhikun1, Sun Pengwen, Zhang Lanting, Wang Dong4, Long Kai2   

  1. 1. School of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China;
    2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University), Beijing 102206, China;
    3. Inner Mongolia Key Laboratory of Advanced Manufacturing Technology, Hohhot 010051, China;
    4. Research Institute, Beiqi Foton Motor Co., Ltd., Beijing 102206, China
  • Received:2020-09-11 Online:2022-04-28 Published:2022-10-28

摘要: 为进一步发挥复合材料铺层参数的可设计性潜力,提出融合离散材料优化法与遗传算法的叶片铺层角度优化方法。构建以细观单元铺层角度为设计变量、刚度最大为目标函数、应力最小为约束条件的叶片细观纤维铺层角度优化数学模型。应用Python语言编写算法求解程序,并与Abaqus软件交互进行求解,得到叶片各单元各层优化的铺层角度、铺层顺序和各铺层纤维的厚度。以1.5 MW叶片为例,优化后叶片的最大位移和Tsai-Wu失效因子明显减小,性能显著提升,验证了该方法与算法的有效性和可行性。

关键词: 拓扑优化, 数学模型, 风力机叶片, 铺层角度, 离散材料优化

Abstract: In order to further develop the design potential of ply parameters of composite layer, an optimization method of ply angle for wind turbine blade is proposed, which combines DMO method with genetic algorithm. The topology optimization mathematical model for micro ply angle of blade is established, which takes the element ply angle as design variable, the maximum stiffness as the objective function and the minimum stress as the constraint condition. Python language is used to write the algorithm program and solve the problem interacted with Abaqus software. Finally the optimized ply angle of each unit and layer are obtained. Taking 1.5 MW blade as an example, the maximum displacement and Tsai-Wu failure factor of optimized blade are reduced, and the properties are significantly improved. The effectiveness and feasibility of the method are verified.

Key words: topology optimization, mathematical model, wind turbine blades, ply angle, discrete material optimization

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