• DocumentCode
    713307
  • Title

    Conductance sensor for micromachining. A case study on monitoring tool-workpiece contact

  • Author

    Castano, Fernando ; Haber, Rodolfo E. ; del Toro, Raul M. ; Beruvides, Gerardo

  • Author_Institution
    Centre for Autom. & Robot, UPM, Arganda del Rey, Spain
  • fYear
    2015
  • fDate
    17-19 March 2015
  • Firstpage
    1422
  • Lastpage
    1426
  • Abstract
    This paper proposes a conductance sensor and a procedure for real-time monitoring of micromaching processes. This procedure is based on a computationally efficient method to detect both the state of tool-workpiece contact dynamic and tool breakage. The measurement of electrical voltage drop is done by supplying an AC current through the contact impedance and this is the main input signal of the algorithm. The design of a conductance sensor is verified experimentally. The assessment of the prototype demonstrates a success rate of 90% in detecting the cutting states. These results are the basis for developing and implementing embedded system for real-time and tool condition monitoring of micromachining processes at industrial level.
  • Keywords
    cutting; cutting tools; electric admittance measurement; embedded systems; fracture; machine tools; micromachining; process monitoring; production engineering computing; signal processing; voltage measurement; AC current; conductance sensor design; contact impedance; cutting state detection; electrical voltage drop measurement; embedded system; main input signal; monitoring tool-workpiece contact; real-time micromaching process monitoring; tool breakage; tool-workpiece contact dynamic; Artificial intelligence; Contacts; Cutting tools; Micromachining; Monitoring; Real-time systems; Voltage measurement; Micromachining process; conductance sensor design; high precision system; tool-piece contact resistance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2015 IEEE International Conference on
  • Conference_Location
    Seville
  • Type

    conf

  • DOI
    10.1109/ICIT.2015.7125296
  • Filename
    7125296