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

doi:10.12068/j.issn.1005-3026.2020.03.015

Abstract

Abstract: 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.

Key words: graphene nanoparticle, MQL(minimum quantity lubrication), GH4169 alloy, milling machining, surface quality, parameter optimization

CLC Number:

TH161

LI Ming， YU Tian-biao， ZHANG Rong-chuang， WANG Wan-shan. Study on the Milling Surface Quality of GH4169 Alloy Based on Graphene-Enhanced MQL Method[J]. Journal of Northeastern University Natural Science, 2020, 41(3): 387-392.

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