http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
CFRP 마이크로 드릴가공에서 다중신호를 이용한 드릴 상태감시
이두희(Doo-Hee Lee),윤지찬(Ji-Chan Yoon),이종환(Jong-Hwan Lee),김정석(Jeong-Suk Kim) 한국생산제조학회 2018 한국생산제조학회지 Vol.27 No.5
The machinability of carbon fiber reinforced plastic (CFRP) is very poor because of its properties that make it difficult-to-machine, and machining trouble is often observed during microdrilling owing to easy drill wear and fracture. Therefore, it is important to effectively monitor the drill tool state in microdrilling operations. Cutting force and acoustic emission (AE) signals are often used to monitor tool states during limited cutting conditions. Using the cutting force and AE signals simultaneously is suggested in this investigation to increase the effectiveness of monitoring tool states in microdrilling. The relationship between tool wear propagation and these signal characteristics are verified for various feed rates, and a good correlation is obtained from the signal processing results in the frequency domain. The power threshold level of simultaneous cutting force and AE signals in the frequency domain can be adopted to monitor microdrilling states of CFRP drilling.
알루미늄 합금(Al6061-T6)의 마이크로밀링가공에서 버 발생과 신호 특성의 상관관계 분석
김현중(Hyun-Jung Kim),구준영(Joon-Young Koo),윤지찬(Ji-Chan Yoon),이종환(Jong-Hwan Lee),김정석(Jeong-Suk Kim) 한국생산제조학회 2016 한국생산제조학회지 Vol.25 No.6
The formation of micro-burrs in micro-milling processes causes several problems related to productivity and surface integrity. It should be minimized and suppressed by effective monitoring of the cutting conditions. This paper presents the correlation between the micro-burr length and cutting signals in the micro-milling process of an Al alloy (Al6061-T6). The acoustic emission (AE) signals and cutting force signals are acquired during the experiments. The characteristics of the cutting signals are obtained by analyzing the AE root mean square value and resultant cutting force. In addition, the micro-burr length is measured according to the cutting conditions by analyzing a scanning electron microscopy image of the machined surface. The results of this study can be used to enhance the surface quality of micro parts.