Detection of abnormal cutting using pattern recognition of spectrum map (1st report, detection of self-excited chatter vibration)

摘要

The fully automated running of machine tools requires early and automatic detection and prevention of abnormal cutting. Therefore, the purpose of this study is to determine a new method of detecting self-excited chatter vibration. Using this method, the occurrence of self-excited chatter vibration during a turning operation is evaluated by a neural network using a spectrum map of cutting tool vibration.