지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2012.10
- 수록면
- 142 - 147 (6page)
이용수
초록· 키워드
오류제보하기
Machining tool conditions directly affect to quality of product and productivity of manufacturing. Many researches performed for tool condition monitoring in machining process to improve quality and productivity. Conventional methods use characteristics of signal for cutting force, motor current consumption, vibration of machine tools and machining sound. Recently, diameter of machining tool is become smaller for minimizing of mechanical parts. Tool condition monitoring using conventional methods are relatively difficult because micro machining using small diameter tool has low machining load and high cutting speed. These days, the direct monitoring for tool conditions using vision system is performed actively. But, vision system is affected by external conditions such as back ground of image and illumination. In this study, minimizing technology of external conditions using distribution analysis of image data are developed in micro machining using small diameter drill and tap. The image data is gathered from vision system. Several sets of experiment results are performed to verify the characteristics of the proposed machining technology.
목차
ABSTRACT
1. 서론
2. 영상처리 기술
3. 레이저 슬릿빔을 이용한 방법
4. 픽셀 분산도를 이용한 방법
5. 결론
후기
REFERENCES
참고문헌 (6)
참고문헌 신청
1. [학술지(정기간행물)] - Kim, W. S / 1996 / An Experimental Study on the Detection of Tool Failure in Face Milling Processes / J. of KSMTE 5 (3) : 73 ~ 79
2. [학술지(정기간행물)] - Kim, G. D / 2001 / Prediction of the Amount of Tool Fracture in Face Milling using Cutting Force Signal / J. of KSME 25 : 972 ~ 979
3. [학술지(정기간행물)] - Lee, J. M / 1995 / Tool Breakage Monitoring by Feed Motor Current during Milling Process / J. of KSPE 12 (3) : 63 ~ 72
4. [학술지(정기간행물)] - Kwon, O. D / 1993 / Tool Condition Monitoring Technique using Computer Vision and Pattern Recognition / J. of KSME 17 : 27 ~ 37
강익수, 정연식, 권동희, 김전하, 김정석, 안중환. 마이크로 엔드밀링에서 AE 신호를 이용한 공구상태 감시. Journal of the Korean Society for Precision Engineering. 2006
2. [학술지(정기간행물)] - Kim, G. D / 2001 / Prediction of the Amount of Tool Fracture in Face Milling using Cutting Force Signal / J. of KSME 25 : 972 ~ 979
3. [학술지(정기간행물)] - Lee, J. M / 1995 / Tool Breakage Monitoring by Feed Motor Current during Milling Process / J. of KSPE 12 (3) : 63 ~ 72
4. [학술지(정기간행물)] - Kwon, O. D / 1993 / Tool Condition Monitoring Technique using Computer Vision and Pattern Recognition / J. of KSME 17 : 27 ~ 37
강익수, 정연식, 권동희, 김전하, 김정석, 안중환. 마이크로 엔드밀링에서 AE 신호를 이용한 공구상태 감시. Journal of the Korean Society for Precision Engineering. 2006
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UCI(KEPA) : I410-ECN-0101-2014-581-001100822