Transactions of the Korean Society of Machine Tool Engineers (한국공작기계학회논문집)

The Korean Society of Manufacturing Technology Engineers (한국생산제조학회)
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Acoustic Emission Monitoring of Milling Burr Formation Using Wavelet Transform

웨이브렛 변환을 이용한 밀링 버 생성 음향방출 모니터링

  • 이성환 (한양대학교 기계공학과) ;
  • 마채훈 (한양대학교 대학원 메카트로닉스.시스템 공학과) ;
  • 조용원 (한양대학교 대학원 메카트로닉스.시스템 공학과)
  • Published : 2006.08.01
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Abstract

Detection of exit burr is very important in manufacturing automation. In this paper, acoustic emission(AE) was used to detect the burr formation during milling. By using wavelet transformation, AE data was compressed without unnecessary details. Then the transformed data were used as selected features (inputs) of a back-propagation artificial neural net. In order to validate the proposed scheme, the wavelet based ANN results were compared with cutting condition(cutting speed, feed, depth of cut, etc.) based ANN results.

Keywords

References

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