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  • 标题:Use of Neural Networks in Tool Wear Prediction
  • 本地全文:下载
  • 作者:Juraj Kundrík ; Marek Kočiško ; Martin Pollák
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2019
  • 卷号:299
  • 页码:1-6
  • DOI:10.1051/matecconf/201929904003
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Modern CNC machine tools include a number of sensors that collect machine status data. These data are used to control the production process and for control of the CNC machine status. No less importantpart of the production process is also a machine tool. The condition of the cutting tool is important for the production quality and its failure can cause serious problems. Monitoring the condition of thecutting tool is complicated due to its dimensions and working conditions. The article describes how the tool wear can be predicted from the measured values of vibration and pressure by using neural networks.
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