- AE(acoustic emission)센서를 이용한 공구파손검출에 관한 연구
- ㆍ 저자명
- 이재종,송준엽,박화영,Lee. Jae-Jong,Song. Jun-Yeop,Park. Hwa-Yeong
- ㆍ 간행물명
- 기계연구원소보
- ㆍ 권/호정보
- 1989년|19권 2호|pp.61-68 (8 pages)
- ㆍ 발행정보
- 한국기계연구원
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
As the system monitoring technology become required in order to improve the system performance and the productivity, we’ve studied to the detection for the tool wear and the tool breakage using AE sensors that is able to detection of generated high frequency stress pulse at cutting. The detection system is consist of a sensing part, a amplifier part, a signal processing part, and a analysis & output part. The moment (a rms and a kurtosis) of statistical method is used for analysis of AE singnal. The experiment are carried out in a CNC lathe. In this study, we achieved that the amplitude level of the AE signal and statistical moments was largely changed as the tool failure. The change rate of Kurtosis was especially large, but the change rate of the rms was small.