基于改进BP神经网络优化的牛头刨床动力学仿真  

Dynamic simulation of shaper based on improved BP neural network

作　　者：王莹 许洋洋 薛东彬[2] WANG Ying;XU Yangyang;XUE Dongbin(School of Mechanical and Electrical Engineering, Zhengzhou University of Industrial Technology, Zhengzhou 451150, China;School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 450007, China)

机构地区：[1]郑州工业应用技术学院机电工程学院,郑州451150 [2]河南工业大学机电工程学院,郑州450007

出　　处：《中国工程机械学报》2018年第1期30-34,共5页Chinese Journal of Construction Machinery

基　　金：河南省自然科学基金资助项目(2013B460024)

摘　　要：针对牛头刨床刨头切削速度不平稳问题,采取改进BP神经网络对六杆机构进行优化.建立牛头刨床六杆机构运动简图模型,推导出刨头动力学方程式.构造六杆机构运动参数优化目标函数,采用改进BP神经网络对六杆机构约束参数进行优化.将优化后的参数导入到Solidworks软件中建立三维模型,并且进行动力学仿真.仿真结果显示,与优化前相比,优化后的牛头刨床,不仅延长了刨头的工作时间,而且在工作行程过程中,速度和加速度(0.3~0.8s)运动较为平稳,牛头刨床振动幅度降低.采用改进BP神经网络优化牛头刨床六杆机构,可以提高刨头工作效率和切削的稳定性.Aiming at the problem that the cutting speed is not smooth,the improved BP neural network is used to optimize the six bar mechanism.The kinematic sketch model of six bar mechanism is established,and the dynamic equation of the head is derived.The objective function of the six bar mechanism is constructed,and the parameters of the six bar mechanism are optimized by the improved BP neural network.The optimized parameters were imported into the Solidworks software to establish the threedimensional model,and the dynamic simulation was carried out.The simulation results show that compared with before optimization,after optimization of the shaper,not only extend the plough working time,and the velocity and acceleration in the process of working stroke（0.3-0.8 s）movement is relatively stable,the amplitude of the vibration shaper decreased.The improved BP neural network is used to optimize the six bar mechanism,which can improve the efficiency and stability of the cutting head.

关 键 词：牛头刨床 六杆机构 改进BP神经网络 优化 仿真 

分 类 号：TH113[机械工程—机械设计及理论]