基于灰色关联分析的微量润滑系统工艺参数优化

为解决钛合金铣削加工中微量润滑系统工艺参数优化问题,采用正交试验法以空气流量、切削液用量、切削液浓度为变量,表面粗糙度Ra和切削力为评价指标开展钛合金微量润滑铣削试验。基于灰色关联和主成分分析法对微量润滑系统工艺参数进行多目标优化,通过分析各因素对灰色关联度的影响规律,确定了最佳系统参数组合为空气流量90L/min、切削液用量15mL/h、切削液浓度70%。经验证优化后的工艺参数可有效提高工件表面质量,减小切削力,为合理选择微量润滑系统工艺参数提供了参考依据。

Optimization of Process Parameters of Minimum Quantity Lubrication System Based on Grey Relation Analysis

In order to solve the problem of parameter optimization of minimum quantity lubrication(MQL)system in titanium alloy milling,Taguchi method was used.With air flow rate,cutting fluid usage and cutting fluid concentration as variables,surface roughness Ra and cutting force as evaluation indexes,the MQL milling test of titanium alloy was carried out.Multi-objective optimization of minimum quantity lubrication system parameters was carried out using grey relation analysis and principal component analysis method.By analyzing the influence of various factors on grey relation grade,the optimal combination of system parameters was determined to be air flow rate of 90L/min,cutting fluid usage of 15mL/h and cutting fluid concentration of 70%.The optimized process parameters can effectively improve the surface quality of the workpiece and reduce the cutting force,which provides a reference for the reasonable selection of parameters of MQL system.