Comprehensive Monitoring System for Cutting Process

抄録

One of the problems of current monitoring systems is a lack of flexibility for managing changes in the machining environment. The purpose of this research is to construct a monitoring system that can cope flexibly with changes in the machining environment without sacrificing accuracy of detection. The monitoring system developed involves plural subsystems, and was applied to monitor the chipping at an end mill. The subsystems employ artificial neural networks based on the cutting force signals and the cutting conditions. The flexibility and reliability of the monitoring system were much improved by operating the subsystems in parallel.