초록 열기/닫기 버튼
In micro-scale milling, many machining problems are caused by micro-burrs that occur during micro-machining processing. Unlike conventional machining, the production efficiency of micro-machining decreases due to increases in process time and costs due to deburring processes. Micro-burrs are not easy to remove, so it is necessary to suppress their generation by machining condition monitoring. The purpose of this study is to analyze the change of micro-burr size according to the machining conditions in micro-milling process. The wavelet transform technique was used to investigate the correlation between the micro-burr characteristics and the processed signals of cutting force and acoustic emissions; thus, effective burr condition monitoring in micro-milling is proposed.
