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  • 标题:Optimization research based on local exhaust of oil mist particles in cutting machine tool
  • 本地全文:下载
  • 作者:Qinpeng Meng ; Fei Wang ; Qidong Li
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2022
  • 卷号:356
  • 页码:1-5
  • DOI:10.1051/e3sconf/202235605082
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Oil particles generated from metalworking fluids(MWFs) in machining process can lead serious health problem to operator. Local exhaust hood is an effective engineering method to capture oil particles and other contamination which is wildly used in manufacture workshop. In this paper, exhaust hood capture efficiency with various height, air volume and particle size was gotten by Computational Fluid Dynamic(CFD) technology. Though further analysis of the CFD result, feature air velocity was introduced. Then an equation of feature velocity and capture efficiency was established by multi regression method. According to this equation one improvement solution was studied: Set to flexible enclosure for up exhaust hood. The solution raised particle capture efficiency on each size significant, the result is equivalent to low down up exhaust hood for 60cm.
  • 关键词:Machining;Oil particles;Feature air velocity;Flexible enclosure
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