정면 밀링 공정에서 절삭력 신호 형상 변화를 이용한 공구마모 검출에 관한 연구

서지정보

ㆍ발행기관 : 한국기계기술학회 ㆍ수록지정보 : 한국기계기술학회지 / 16권 / 4호
ㆍ저자명 : 박영복, 최덕기

목차

Abstract
1. 서론
2. 공구 수명
3. 형상 계수
4. 실험 장치 및 방법
4.1 실험 장치
4.2 실험 방법
5. 실험 결과 및 분석
6. 결론
References

영어 초록

On-line detection system of the abnormal states in a machining process needs to be developed to implement the IMS(Intelligent Manufacturing System). High productivity and efficient quality control can be achieved through the on-condition maintenance for normal tool condition. Generally it is difficult to determine the exact point of time for a tool change because a tool wear grows gradually on the contrary to other abnormal states such as tool fracture, chattering etc. In this article, the shape variation of cutting force signal generated by a insert during face milling was investigated along with a tool wear. The variance, skewness and kurtosis were used as the shape parameters to describe the shape variation and, consequently, utilized as the features to monitor a tool wear. Experimental results showed that the shape parameters could discriminate the tool condition reliably between a fresh tool and a worn tool. As a result, we proposed the method to diagnose a tool wear by combining these parameters with a neural network algorithm.

참고 자료

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