基于石墨烯强化MQL的GH4169合金铣削表面质量研究

为了改善GH4169合金铣削加工的表面质量，基于微量润滑(MQL)技术，将石墨烯纳米粒子添加到植物油基切削液中以强化其冷却润滑性能.结合正交试验方案，采用极差分析和方差分析方法，研究了MQL参数(石墨烯质量分数、切削液流量、气体压强)对表面粗糙度的影响规律，并得到了最优的参数组合.研究结果表明，石墨烯质量分数对GH4169合金铣削加工表面粗糙度的影响是最显著的，其次是气体压强，最后是切削液流量；同时，最优的表面粗糙度为0.406μm，最优参数组合为石墨烯质量分数0.1%，切削液流量60mL/h，气体压强0.6MPa；适当的MQL参数可以显著地改善切削区的冷却润滑状态，从而改善表面质量，降低表面粗糙度.

Study on the Milling Surface Quality of GH4169 Alloy Based on Graphene-Enhanced MQL Method

In order to improve the surface quality of GH4169 alloy during the milling process， the graphene nanoparticle was added to the vegetable-oil-based cutting fluid to enhance the cooling and lubrication performances based on MQL(minimum quantity lubrication). The effects of the graphene nanoparticle concentration， cutting fluid flow rate and gas pressure on the surface roughness were studied by the range analysis and variance analysis based on the orthogonal experimental scheme. Besides， the optimal parameter combination was obtained. The results showed that the effect of the graphene nanoparticle concentration on the surface roughness is the most significant， followed by the cutting fluid flow rate， and finally the gas pressure. Meanwhile， the optimal surface roughness is 0.406μm， and the optimal parameter combination is graphene nanoparticle concentration 0.1%， cutting fluid flow rate 60mL/h， and gas pressure 0.6MPa. It could be concluded that appropriate MQL parameters can significantly improve the cooling and lubrication state in the cutting zone during the MQL milling of GH4169 alloy， thereby improving the surface quality and reducing the surface roughness.