摘要
针对曲轴件加工质检合格率较低、加工过切量较大的问题,提出基于改进粒子群的曲轴件数控加工刀具轨迹自动优化方法。先以刀具轨迹长度最小为目标建立轨迹优化目标函数,设定相应的约束条件,再通过改进粒子群惯性权重参数更新方法及增加压缩因子,实现对粒子群算法的改进,最后利用改进粒子群对最优轨迹求解,自动优化基于改进粒子群的曲轴件数控加工刀具轨迹。实验证明,该方法可对曲轴件数控加工刀具轨迹进行优化,且其应用后曲轴件加工质检合格率得到有效提升,加工过切量得到有效控制,具有良好的优化效果。
Aiming at the problems of low quality inspection rate and large cutting amount in crankshaft machining,an automatic optimization method for crankshaft CNC machining tool trajectory based on improved particle swarm optimization is proposed.Firstly,a trajectory optimization objective function is established with the goal of minimizing the length of the tool trajectory,and corresponding constraint conditions are set.Then,by improving the particle swarm inertia weight parameter update method and increasing the compression factor,the particle swarm algorithm is improved.Finally,the improved particle swarm is used to solve the optimal trajectory and automatically optimize the tool trajectory for crankshaft CNC machining based on the improved particle swarm.Experimental results have shown that this method can optimize the tool grajectory for CNC machining of crankshaft parts,and its application effectively improves the quality inspection rate of crankshaft parts,effectively controls the amount of over cutting during machining,and has a good optimization effect.
作者
王丽霞
WANG Lixia(Yanhuang Technological College,Huai'an,Jiangsu 223400,China)
出处
《自动化应用》
2024年第11期258-260,共3页
Automation Application
关键词
改进粒子群
曲轴件
数控加工
刀具轨迹
improving particle swarm
crankshaft
CNC machining
tool trajectory
