精密硬态车削多元非线性回归模型与综合优化

Multivariate nonlinear regression model and multi- objective optimization of precision hard cutting

采用均匀设计试验方法,分别建立了表面粗糙度、刀具切削行程、刀具径向振动的多元回归模型;以加工表面粗糙度最小、刀具寿命最大、刀具径向振动最小和切削效率最高为目标,对精密硬态车削过程进行了优化研究。结果表明:切削速度280 m/min,进给量0.03 mm/r,背吃刀量0.15 mm,刀尖圆弧半径0.8 mm为最佳参数组合,取得了良好的切削加工综合效果。研究成果可对精密硬态切削加工的参数选择提供借鉴和指导。

The multiple regression models of surface roughness,tool cutting stroke and tool radial vibration are established using uniform design method. With the minimum surface roughness,maximum tool life,the minimum tool radial vibration and maximum cutting efficiency as the target,the precision hard cutting process is optimized. The study makes a good cutting combined effect,the results show that cutting speed at 280 m / min,the amount of feed at 0. 03 mm / r,cutting depth at 0. 15 mm,the tip radius of circular arc at 0. 8 mm are the best combination of cutting parameters. This research could provide reference for the selection of parameters in precision hard machining.