In Process Recognition of Cutting States

Abstract

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 behavior of the chip, and factors affecting the workpiece such as chatter and part dimensions. The subject includes sensors for process monitoring, signal processing and sensor fusion for decisionmaking and, often, process control. This paper reviews the importance of monitoring the cutting process and presents information on sensors for process monitoring. 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 networks. Examples of sensor systems for cutting state determination are presented using acoustic emission and other sensors.