基于石墨烯强化MQL的GH4169合金铣削表面质量研究

doi:10.12068/j.issn.1005-3026.2020.03.015

东北大学学报:自然科学版 ›› 2020, Vol. 41 ›› Issue (3): 387-392.DOI: 10.12068/j.issn.1005-3026.2020.03.015

基于石墨烯强化MQL的GH4169合金铣削表面质量研究

李明^1,2，于天彪^1,2，张荣闯³，王宛山^1,2

(1.东北大学机械工程与自动化学院，辽宁沈阳110819； 2.东北大学辽宁省大型装备智能设计与制造技术重点实验室，辽宁沈阳110819； 3.东北大学秦皇岛分校控制工程学院，河北秦皇岛066004)

收稿日期:2019-06-10 修回日期:2019-06-10 出版日期:2020-03-15 发布日期:2020-04-10
通讯作者: 李明
作者简介:李明(1988-)，男，河北衡水人，东北大学博士研究生；于天彪(1968-)，男，吉林榆树人，东北大学教授，博士生导师；王宛山(1946-)，男，辽宁沈阳人，东北大学教授，博士生导师.
基金资助:
国家重点研发计划项目(2017YFA0701200)；国家自然科学基金-辽宁省联合基金重点资助项目(U1508206)；中央高校基本科研业务费专项资金资助项目(N182303034，N170307009)；沈阳市科技创新平台项目(18006001).

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

LI Ming^1,2， YU Tian-biao^1,2， ZHANG Rong-chuang³， WANG Wan-shan^1,2

1. School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China; 2. Liaoning Provincial Key Laboratory of Intelligent Design and Manufacturing Technology for Large Equipment， Northeastern University， Shenyang 110819， China; 3. School of Control Engineering， Northeastern University at Qinhuangdao， Qinhuangdao 066004， China.

Received:2019-06-10 Revised:2019-06-10 Online:2020-03-15 Published:2020-04-10
Contact: LI Ming
About author:-
Supported by:
-

摘要/Abstract

摘要： 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.

关键词: 石墨烯纳米粒子, MQL, GH4169合金, 铣削加工, 表面质量, 参数优化

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

中图分类号:

TH161

李明，于天彪，张荣闯，王宛山. 基于石墨烯强化MQL的GH4169合金铣削表面质量研究[J]. 东北大学学报:自然科学版, 2020, 41(3): 387-392.

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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基于石墨烯强化MQL的GH4169合金铣削表面质量研究

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

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