IN-PROCESS RECOGNITION OF CUTTING STATES

This paper reviews research focussed on the monitoring of the cutting process for the purpose of determining the state of the operation. The state includes the condition of the cutting tool, the formation and b ehavior of the chip, and factors affecting the workpiece such as chatt er and part dimensions. The subject includes sensors for process monit oring, signal processing and sensor fusion for decisionmaking and, oft en, process control, This paper reviews the importance of monitoring t he cutting process and presents information on sensors for process mon itoring, Special emphasis is on acoustic emission-based techniques and multi-sensor systems utilizing feature extraction techniques such as autoregressive models and sensor fusion techniques such as neural netw orks. Examples of sensor systems for cutting state determination are p resented using acoustic emission and other sensors.