基于MMOGA的某超高速包装机推手机构动平衡优化  

Dynamic Balance Optimization of an Ultra High-speed Packaging Machine based on a Micro Multi-objective Genetic Algorithm

作　　者：胡波[1] 陈国淳 李慧洁 周长江[1] Hu Bo;Chen Guochun;Li Huijie;Zhou Changjiang(College of Mechanical and Vehicle Engineering,Hunan University,Changsha 410082,China;China Airport Construction Group Corporation,Beijing 100102,China)

机构地区：[1]湖南大学机械与运载工程学院,湖南长沙410082 [2]中国民航机场建设集团有限公司,北京100102

出　　处：《机械传动》2018年第10期58-63,共6页Journal of Mechanical Transmission

基　　金：国家自然科学基金项目(51675168);湖南省重点研发计划项目(2016JC2001);高性能复杂制造国家重点实验室开放基金项目(Kfkt2017-10)

摘　　要：为了改进某型超高速包装机推手机构的动态性能,对该机构进行动平衡优化。基于多刚体动力学理论,建立该推手机构的动力学模型,分析出主要产生惯性载荷的零部件。建立该部件的数学模型,推导出摆动力和摆动力矩方程。基于微型多目标遗传算法(MMOGA),综合考虑摆动力和摆动力矩的均方根值,以杆件的质量、质心位置等为变量,对该部件进行动平衡优化。根据变量的较优值,重新设计长臂推手的结构。优化后推手机构的摆动力与摆动力矩分别减小了23. 6%和29. 5%,且长臂推手的固有频率远离了260 Hz(激振频率)。上述结果表明,经过优化,该型包装机推手机构的动力学性能得到了较明显的改善,避免了长臂推手的共振现象。To improve the dynamic performance of the pusher device in an ultra high-speed packaging machine,the optimization design and analysis on dynamic balance are performed.Based on the multi-rigid-body dynamics theory,a dynamic model of the pusher device is established.Major components for producing inertia force and torque are acquired according to the dynamic model.The equations of shake force and torque are derived by building a mathematical model for the components.Taking the root-mean-square of shake force and torque into account,dynamic balance of the components with variables of mass and barycentre location is optimized based on a micro multi-objective genetic algorithm.According to the optimal value of variables,the structure of the pushing hands is redesigned.After optimization,the shake force and torque of the packaging machine are reduced by 23.6%and 29.5%respectively,and natural frequency of pushing hands is not close to 260 Hz anymore.The results show that dynamic performance of the pusher device is improved obviously and the resonance is avoided.

关 键 词：超高速包装机 推手机构 微型多目标遗传算法 动平衡优化 

分 类 号：TB486[一般工业技术—包装工程]