Journal of the Korean Society of Manufacturing Process Engineers (한국기계가공학회지)

The Korean Society of Manufacturing Process Engineers (한국기계가공학회)
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Tool Breakage Detection Using Feed Motor Current

이송모터 전류신호를 이용한 공구파손 검출

  • Jeong, Young Hun (School of Mechanical Engineering, Kyungpook National University)
  • 정영훈 (경북대학교 기계공학부)
  • Received : 2015.11.26
  • Accepted : 2015.12.02
  • Published : 2015.12.31
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Abstract

Tool condition monitoring plays one of the most important roles in the improvement of both machining quality and productivity. In this regard, various process signals and monitoring methods have been developed. However, most of the existing studies used cutting force or acoustic emission signals, which posed risks of interference with the machining system in dynamics, fixturing, and machining configuration. In this study, a feed motor current signal is used as a process signal representing process and tool states in tool breakage monitoring based on an adaptive autoregressive model and unsupervised neural network. From the experimental results using various cases of tool breakage, it is shown that the developed system can successfully detect tool breakage before two revolutions of the spindle after tool breakage.

Keywords

References

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