Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Diagnosis of the Drill Wear Based on Fuzzy Logic

퍼지 논리을 이용한 드릴의 마모 상태 진단

  • 권오진 (한국기술교육대학교 대학원 기계공학과) ;
  • 최성주 (한국기술교육대학교 기계공학부) ;
  • 조현찬 (한국기술교육대학교 정보기술공학부)
  • Published : 2001.12.01
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Abstract

One of the most important technology in PA(Factory Automation) is to construct the diagnostic system for manufacturing process. To improve the productibility in the factory, the state of tools such as bite, drill, endmill should be monitored continuously. In this study, fuzzy logic was used to check the wear of drill in drilling process. The input variables to construct the fuzzy rules are cutting force and the rate of cutting force's change. The experiment was done with the fixed spindle speed and feed rate in cutting condition.

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