A Study on the Monitoring System of the Grinding Troubles Utilizing Neural Networks(l)

신경회로망을 이용한 연삭가공의 트러블 인식에 관한 연구(I)

  • Ha, M.K. ;
  • Kwak, J.S. ;
  • Song, J.B. ;
  • Kim, G.H.Kim, H.S.
  • 하만경 (부경대학교 기계설계학과) ;
  • 곽재섭 (부산대학교 대학원) ;
  • 송지복 (부산대학교 정밀기계공학과/기계기술연구소) ;
  • 김건회김희술 (창원대학교 공과대학영남대학교 기계공학과)
  • Published : 1996.09.01

Abstract

Recent researches in the trouble monitoring system of grinding process have emphasized the use of deep knowledge. Such works include the monitoring and diagnostic systems for cylindrical grinding using sensors on chatter vibration and grinding burn during the process. But, since grinding operations are especially related with a lalrge amount of ambique parameters, it is effectively difficult to detect the grinding troubles occuring during the grinding process. In this paper, monitoring system for grinding utilizes the neural networks based on grinding power signatures. The monitoring system of grinding operations, which makes use of PDP neural networks, is presented. Then, the implementation results by computer simulations and experimental data with respect to chatter vibration and grinding burn are compared.

Keywords