• DocumentCode
    3473735
  • Title

    The Online Monitoring System of Tool Wear in Numerical Control Plunge Milling Based on PC104 Bus

  • Author

    Sun, Jianjun ; Zhu, Pingyu ; Li, Xiaoyu ; Liu, Huanling ; Yuan, Zhixing ; Qin, Xuda

  • Author_Institution
    Tianjin Polytech. Univ., Tianjin
  • fYear
    2007
  • fDate
    18-21 Aug. 2007
  • Firstpage
    1679
  • Lastpage
    1683
  • Abstract
    Nowadays, the trend of milling technique is high speed machining. Plunge milling is one of the most efficient machining with high metal removal rate. The online monitoring of tool wear has been the key of plunge milling process. In this paper, the technique of tool wear monitoring in plunge milling process was studied. An online monitoring and faults diagnosis system based on PC104 bus and Lab VIEW was established. The system can acquire and analyze the vibration signals by acceleration sensors that were put in the milling tool holder. The model between the tool wear and vibration signals in plunge milling 45# steel was built by fitting of multivariable linear regression on the base of experiment. The model was realized on the open NC system, monitoring the tool wear degree quantificational. Through the verification to experiment data, the model was effective and reliable, and the error of forecast tool wear value was within 10% by the tool wear model. The model provided an important reference for the research of tool wear on the plunge milling.
  • Keywords
    computerised numerical control; condition monitoring; fault diagnosis; milling; peripheral interfaces; regression analysis; sensors; steel; vibrations; virtual instrumentation; wear; Lab VIEW; PC104 bus; acceleration sensor; faults diagnosis system; high speed machining; multivariable linear regression; numerical control; online monitoring system; plunge milling; steel; tool wear; vibration signal; Acceleration; Computer numerical control; Fault diagnosis; Machining; Milling; Monitoring; Predictive models; Sensor systems; Signal analysis; Steel; LabVIEW; PC104 bus; online monitoring; plunge milling; tool wear model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2007 IEEE International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-1531-1
  • Type

    conf

  • DOI
    10.1109/ICAL.2007.4338842
  • Filename
    4338842