To realize unmanned machining, it is necessary to develope a method to judge the machining state in real-time. In this investigation, an identification system of chip form and chatter vibration in turning process is proposed.
For the identification of chip form, the chip forms are classified into three groups based on its length. And it is monitored by using acoustic emission(AE) sensor, and the sensing plate which is designed to have the function of amplifying chip breaking signal. Recognisability of chip form using this method is always higher than 90% in experiments.
To select the most suitable sensor for detection of chatter vibration in a practical viewpoint, various sensors(accelerometer, dynamometer, microphone, AE sensor) are compared in experiments. Each signal is investigated in time and frequency domain and as a result, the microphone is turned out to be the most promising sensor among them.
Finally, the real-time monitoring system, which identifies the chip forms and chatter vibration and then, announces its results by CRT display and synthesized voice, is realized.
