Vibration based characterization of tool wearing in micro-milling of ceramics during waveform toolpath

The main aim of the paper is to monitor micro- milling tool wearing process offline, by a microscopic measurement on one hand, and using high-frequency vibration online, during cutting process, other. Relations between rake face wear stages measured online offline parameters were determined applying an owndeveloped, artificial neural network based feature selection solution. As result, experiment-based research appoints that variable component(s) which characterizes key, three phases, in same way as real occur, waveform path