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作 者:任正义[1] 赫鹏 杨立平[3] REN Zheng-yi;HE Peng;YANG Li-ping(National Experimental Teaching Demonstration Center of Engineering Training,Harbin Engineering University,Heilongjiang Harbin150001,China;School of Mechanical and Electrical Engineering,Harbin Engineering University,Heilongjiang Harbin150001,China;Institute of Energy Storage Technology and Application,Harbin Engineering University,Heilongjiang Harbin150001,China)
机构地区:[1]哈尔滨工程大学工程训练国家级实验教学示范中心,黑龙江哈尔滨150001 [2]哈尔滨工程大学机电工程学院,黑龙江哈尔滨150001 [3]哈尔滨工程大学储能技术与应用研究所,黑龙江哈尔滨150001
出 处:《机械设计与制造》2021年第4期117-120,125,共5页Machinery Design & Manufacture
基 金:国家863项目《适用于风力发电的飞轮储能关键技术研究》(2013AA050802)。
摘 要:介绍了极限转速为15000r/min,储能量为600wh的空心飞轮转子的优化设计方法,根据飞轮储能系统设计要求利用三维软件SolidWorks对飞轮模型进行建模与有限元软件ansys workbench进行仿真分析与优化,首先进行初步建模,然后通过改变其模型轮辐曲线找到更优的飞轮形状并提取其轮辐曲线的结构参数,再通过多目标遗传算法对飞轮转子进行优化设计及研究,以飞轮质量更轻,极转动惯量更大以及应力应变更小为约束条件,提取其飞轮结构几何尺寸为设计变量进行优化,得出一种更优的飞轮结构形式。结果表明,优化后得到的飞轮转子形状较原模型相比性能更佳。The optimal design method of the hollow flywheel rotor with the limit rotation speed of 15000r/min and the stored energy of 600 wh is introduced.According to the design requirements of the flywheel energy storage system,the three-dimensional software SolidWorks is used to model the flywheel model and the simulation analysis and optimization of the finite element software ansys workbench.The preliminary modeling is carried out,and then the shape of the flywheel is changed to find the better flywheel shape and the structural parameters of the spoke curve are extracted.Then the multi-objective genetic algorithm is used to optimize the design and research of the flywheel rotor,so that the flywheel is lighter in weight and extremely rotating.The inertia is larger and the stress should be changed to a small constraint.The geometrical dimensions of the flywheel structure are extracted to optimize the design variables,and a better flywheel structure is obtained.The results show that the shape of the flywheel rotor obtained after optimization is better than that of the original model.
关 键 词:飞轮转子 遗传算法 优化设计 有限元 应力 转动惯量
分 类 号:TH16[机械工程—机械制造及自动化] TH133.3
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