제목(국문) | 개방형 CNC를 갖는 공작기계에 실장한 열변형량 예측 시스템 |
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제목(영문) | Prediction System of Thermal Errors Implemented on Machine Tools with Open Architecture Controller |
저자 |
김선호
(Sun Ho Kim
,동의대학교
)
▷공저자 네트워크 보기
고태조 (Tae Jo Ko ,영남대학교 ) ▷공저자 네트워크 보기 안중환 (Jung Hwan Ahn ,부산대학교 ) ▷공저자 네트워크 보기 |
초록 | The accuracy of the machine tools is degraded because of thermal error of structure due to thermal variation. To improve the accuracy of a machine tools, measurement and prediction of thermal error is very important. The main part of thermal source is spindle due to high speed with friction. The thermal error of spindle is very important because it is over 70% in total thermals errors. In this paper, the suitable thermal error prediction technology for machine tools with open architecture controller is developed and implemented to machine tools. Two thermal error prediction technologies, neural network and multi-linear regression, are .investigated in several methods. The multi-linear regression method is more effective for implementation to CNC. The developed thermal error prediction technology is implemented on the internal function of CNC. |
keyword | Thermal error (열변형 오차), Neural network (신경회로망), Multi linear regression(다중선형회귀), Open architecture controller(개방형 컨트롤러) |
저널명 | 한국정밀공학회지 ▷관련저널보기 |
VOL | 25 |
PAGE | 52-59 |
발표년도 | 2008 |
원문파일 |
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