摘要
介绍了在CAK5085dj数控车床上,利用KISTLER9257B对切削力进行实测,并与切削力经验公式和MATLAB神经网络预测模型所得的切削力进行比较,得出最符合实际的切削力预测模型,实现对切削力的快速精确预测;实测了数控车床刚度,估算了工艺系统受力变形误差,并将此预测结果应用到车削加工仿真中。
By using KISTLER 9257B for measuring of actual cutting force in CAK 5085dj CNC lathe.A cutting force forecast model in line with the actual is obtained by comparing the measuring results with the calculation of cutting force empirical formula and MATLAB neural network prediction model,and realized fast and accurate prediction of cutting force.Measured the CNC lathe angular rigidity,estimated deformation of machining system by cutting force,and applied this forecasting result in turning machining simulation.
出处
《机械设计与制造》
北大核心
2009年第12期181-183,共3页
Machinery Design & Manufacture
基金
吉林省教育厅资助项目(2007第110号)
关键词
切削力
工艺系统
预测
变形
神经网络
Cutting force
Machining system
Predictions
Deformation
Neural network