Neural network for Prediction of the Cutting Characteristies in Cryogenic Cutting

극저온 절삭에서 절삭특성예측을 위한 신경회로망의 적용

  • 김칠수 (중경전문대 기계설계학과) ;
  • 오석영 (수자원공사 수자원연구소) ;
  • 임영호 (숭실대학교 기계공학과)
  • Published : 1994.10.01

Abstract

We experimented on cutting characteristics - cutting force, behavior of cutting temperature, surface roughness, behavior of chips-under low temperature,which generated by liquid nitrogen(77K). The workpieces were freezed to -195 .deg. C and liquid nitrogen was also sprinkled on cutting area in order to increase the efficiency of machining in low temperature. The workpiece was became to -195 .deg. C in 5 minutes. In cooled condition(CC) surface roughness of workpiece was better than normal condition(NC). In addition, we investigated the possibility that surface roughness of workpiece and shear angle can be predicted analyzing cutting condititions by the trained neural network.

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