Abstract
The machining process can be considered as a planned interaction of the workpiece and the cutting tool. In an unmanned manufacturing system, the results of this interaction are to be continuously monitored so that any changes in the machining environment can be sensed for corrective actions. In order to design the adaptive control for the turning operation, the adaptive control optimization and the process monitoring system for chip form identification, chatter vibration detection and built-up edge detection are proposed. Acoustic emission and force sensors are applied to identify the cutting state. The necessary action is provided by a decision table which has been derived from a number of experimental results. Several cutting tests have proved the validity of the proposed system in monitoring, controlling and optimizing the cutting process.
