Vibration based characterization of tool wearing in micro-milling of ceramics

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 own-developed, 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.