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面向铣削工艺油雾粉尘的参数影响研究 被引量:1

Research on Parameter Influence of Oil Mist Dust for Milling Process
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摘要 为了研究工艺参数对铣削加工过程中污染物排放量的影响,研制了一种可检测油雾、粉尘浓度的采集工具,开展了切削参数和切削液的影响实验,通过对采集数据的比较分析,总结了工艺参数对油雾、粉尘浓度的影响规律。结果表明,随着切削参数的增大,粉尘浓度均会有不同程度的升高,进给量f、背吃刀量a p、切削速度v c对粉尘排放的影响依次减小。提高喷油速度或采用两个喷嘴,在提高粉尘排放的同时也会显著增加VOCs的危害,喷油压强的增大会使粉尘浓度逐渐升高,但对油雾浓度影响不明显。研究结果可为绿色制造资源环境数据的采集获取提供可借鉴的采集设备,为工艺评价及绿色化提升提供数据支撑。 In order to study the effect of process parameters on the pollutant emissions during milling,a collection tool that can detect the concentration of oil mist and dust was developed,and the experiment of the effects of cutting parameters and cutting fluid was carried out.Through a comparative analysis of the collected data,The effects of process parameters on oil mist and dust concentration are summarized.The results show that with the increase of cutting parameters,the dust concentration will increase to varying degrees,and the effect of the feed amount f,the amount of back knife a p,and the cutting speed v c on the dust emission will gradually decrease.Increasing the injection speed or using two nozzles will not only increase the dust emissions,but also significantly increase the harm of VOCs.The increase in injection pressure will gradually increase the dust concentration,but it will not have a significant effect on the oil mist concentration.The research results can provide reference collection equipment for the collection of green manufacturing resources and environmental data,and provide data support for process evaluation and green improvement.
作者 祁宏坚 王禹林 陈超宇 何彦 袁尧辉 QI Hong-jian;WANG Yu-lin;CHEN Chao-yu;HE Yan;YUAN Yao-hui(School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China;School of Mechanical Engineering,Chongqing University,Chongqing 400044,China;不详)
出处 《组合机床与自动化加工技术》 北大核心 2020年第12期125-128,共4页 Modular Machine Tool & Automatic Manufacturing Technique
基金 国家重点研发计划(2018YFB2002105) 重庆市杰出青年基金(cstc2020jcyj-jqx0011)。
关键词 金属切削工艺 数据采集工具 工艺优化 绿色制造 milling process data collection tool process optimization green manufacturing
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