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

The Korean Society of Manufacturing Process Engineers (한국기계가공학회)
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A Study on the Wear Condition Diagnosis of Grinding Wheel in Micro Drill-bit Grinding System

마이크로 드릴비트 연마 시스템 연삭휠의 마모 진단 연구

  • Kim, Min-Seop (Department of Mechanical Engineering(Department of Aeronautics, Mechanical and Electronic Convergence Engineering), Kumoh National Institute of Technology) ;
  • Hur, Jang-Wook (Department of Mechanical Engineering(Department of Aeronautics, Mechanical and Electronic Convergence Engineering), Kumoh National Institute of Technology)
  • 김민섭 (금오공과대학교 기계공학과(항공기계전자융합공학전공)) ;
  • 허장욱 (금오공과대학교 기계공학과(항공기계전자융합공학전공))
  • Received : 2021.12.28
  • Accepted : 2022.02.08
  • Published : 2022.03.31
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Abstract

In this study, to diagnose the grinding state of a micro drill bit, a sensor attachment location was selected through random vibration analysis of the grinding unit of the micro drill-bit grinding system. In addition, the vibration data generated during the drill bit grinding were collected from the grinding unit for the grinding wheels under the steady and worn conditions, and data feature extraction and dimension reduction were performed. The wear of the micro-drill-bit grinding wheel was diagnosed by applying KNN, a machine-learning algorithm. The classification model showed excellent performance, with an accuracy of 99.2%. The precision, recall and f1-score were higher than 99% in both the steady and wear conditions.

Keywords

Acknowledgement

본 연구는 중소기업청(중소벤처기업부)의 맞춤형 기술파트너 지원사업의 연구결과로 수행되었음(G21S312033701).

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