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润滑环境对黑色金属单点金刚石车削加工表面质量的影响

Influence of Lubricant Environment on Machined Surface Quality in Single-Point Diamond Turning of Ferrous Metal.

作者信息

Zhou Menghua, Wang Jianpeng, Zhang Guoqing

机构信息

Shenzhen Key Laboratory of High Performance Nontraditional Manufacturing, College of Mechatronics and Control Engineering, Shenzhen University, Nan-hai Ave 3688, Shenzhen 518060, China.

Levoit Structure Research and Development Department, Vesync Company Limited, Zhongshanyuan Ave, Shenzhen 518060, China.

出版信息

Micromachines (Basel). 2021 Sep 15;12(9):1110. doi: 10.3390/mi12091110.

Abstract

In the field of single-point diamond turning (SPDT), machining ferrous metal is an important research topic with promising application. For SPDT of ferrous metal, the influence of lubricant on the workpiece surface morphology remains to be studied. In this study, three lubricant machining environments were selected to carry out specific control experiments. The machined surface morphology and cutting force in different lubricant machining environments were analyzed. The experiment results showed that the lubricant environment will have significant impacts on the quality of the machined surface morphology of ferrous metal. In the environment of minimum quantity lubrication machining (MQLM-oil), better machined surface quality can be obtained than that in ordinary dry machining (ODM) and high-pressure gas machining (HGM). Furthermore, the cutting force captured in the ODM and HGM environment increased with the increase of the cutting depth, while the cutting force in the MQLM-oil environment remained almost unchanged. That indicates MQLM-oil can suppress the formation of hard particles to improve the machining quality.

摘要

在单点金刚石车削(SPDT)领域,加工黑色金属是一个具有广阔应用前景的重要研究课题。对于黑色金属的SPDT,润滑剂对工件表面形貌的影响仍有待研究。在本研究中,选择了三种润滑加工环境进行具体的对照实验。分析了不同润滑加工环境下的加工表面形貌和切削力。实验结果表明,润滑环境对黑色金属加工表面形貌的质量有显著影响。在微量润滑加工(MQLM-油)环境下,可获得比普通干式加工(ODM)和高压气体加工(HGM)更好的加工表面质量。此外,ODM和HGM环境下捕获的切削力随着切削深度的增加而增大,而MQLM-油环境下的切削力几乎保持不变。这表明MQLM-油可以抑制硬颗粒的形成,从而提高加工质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/246b/8468222/8472219b1bd8/micromachines-12-01110-g001.jpg

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