Investigation of Cutting Path Effect on Spindle Vibration and AE Signal Features for Tool Wear Monitoring in Micro Milling

In the development of a tool wear monitoring system in milling, complex cutting path always brings challenges to system’s reliability production line. The effect on acoustic emission (AE) and vibration signals during micro milling processes was investigated this study by implementing three types paths experiment. To generate data for analysis, an experiment conducted research platform using AE sensor accelerometer installed fixture attached spindle housing. demonstrate performance wear, simple linear classifier is proposed, along with signal features generated from different lengths bandwidth size frequency domain. results show that straight line, corner square path, circle are each other. increase length features, which will reduce effect, could improve developed system. However, suggest avoiding feature generation might be better strategy developing