Journal of the Korean Society for Precision Engineering (한국정밀공학회지)
- Volume 13 Issue 10
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- Pages.62-70
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- 1996
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- 1225-9071(pISSN)
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- 2287-8769(eISSN)
The Prediction of the Cutting Characteristics in Cryogenic Cutting Using Neural Network
신경회로망을 이용한 극저온 절삭특성의 예측
- Kim, Chill-Su ;
- Oh, Sueg-Young ;
- Oh, Sun-Sae
- 김칠수 (중경공업전문대학 기계설계학과) ;
- 오석영 (한국수자원공사 수자원연구소) ;
- 오선세 (대전기능대학 생산기계기술학과)
- Published : 1996.10.01
Abstract
We experimented on cutting characteristics-cutting force, behavior of cutting temperature, surface roughness. chip thickness under low temperature, which generated by liquid nitrogen(77K). The work-pieces were freezed to-195 .deg. C and liquid nitrogen was also sprinkled on cutting area in order to decrease an experimental error of machining in low temperature. The workpiece was became to -195 .deg. C in5 minutes. In cooled condition surface roughness of workpiece was better than normal condition. In addition, we investigated the possibility that surface roughness of workpiece and cutting force can be predicted analyzing cutting conditions by the trained neural network.
Keywords