Research on CNC Process Parameters Optimization Based on Process Planning Knowledge

被引:1
|
作者
Gao Xiaobing [1 ]
Yan Xue [2 ]
Wu Fujia [1 ]
机构
[1] Xian Technol Univ, Sch Mech & Elect Engn, Xian, Peoples R China
[2] Northwestern Polytech Univ, Sch Mech Engn, Xian, Peoples R China
关键词
Dynamic cutting force; Parameters Optimization; Knowledge Driving;
D O I
10.4028/www.scientific.net/AMR.411.398
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
CNC milling process parameters is the key issue to improve quality and productivity of product and save cost. Especially, in the end milling of the pockets, the radial depth and real feed vary as the end mill moves along the corner. This will result in the unstable of the cutting force and the bad accuracy of the milled pockets. In this paper, according to analysis of CNC machining process, the model of dynamic cutting force based on knowledge in the end milling of the pockets is established, which is predicted by the model of cutting force coefficient. The optimization milling parameters can be calculated in terms of the model of dynamic cutting force in the pockets, work piece material properties. In the end, the experiment proves the process of optimization.
引用
收藏
页码:398 / +
页数:3
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