Identification of tool breakage with time series analysis in milling operations Conference

Tansel, IN, McLaughlin, C. (1991). Identification of tool breakage with time series analysis in milling operations . 28 59-65.



cited authors

  • Tansel, IN; McLaughlin, C

fiu authors

abstract

  • The on-line monitoring of tool cutting conditions and tool breakage is very important for automated factories of the future. In this paper, the time series based tooth period modeling technique (TPMT) is proposed to detect tool breakage by monitoring a cutting force or torque signal in any direction. TPMT uses the Fast a Posteriori Error Sequential Technique (FAEST) for the on-line modeling of the cutting force or torque signals. Tool breakage is detected by evaluating the characteristics of the monitored signal in each tooth period. TPMT was tested on simulated and experimental and milling data. The proposed technique detected tool breakage in all the test cases without giving a false alarm when cutting conditions (depth of cut) changed.

publication date

  • December 1, 1991

start page

  • 59

end page

  • 65

volume

  • 28