신경회로망을 이용한 채터진동의 인프로세스 감시

  • 박철 (부산대 정밀기계과 대학원) ;
  • 강명창 (부산대 정밀기계과 대학원) ;
  • 김정석 (부산대 정밀기계과, 정밀정형 및 금형가공 연구센타)
  • Published : 1993.10.01

Abstract

Chatter vibration is an unwanted phenomenon in metal cutting and it always affects surface finish, tool life machine life and the productivity of machining process. The In-process monitoring & control of chatter vibration is necessarily required to automation system. In this study, we constructed the multi-sensing system using Tool Dynamometer,Accelerometer and AE(Acoustic Emission) sensor for the credible detection of chatter vibration. And a new approach using a neural network to process the features of multi-sensor for the recognition of chatter vibration in turning operation is proposed. With the back propagation training process, the neural network memorize and classify the feature difference of multi-sensor signals.

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