Cutting Force Signal Pattern Recognition for Chip Form Identification

This paper reports on the activities of a jointly research work carried out by two Laboratories at the University of Kentucky, USA, and the University of Naples Federico II, Italy. The joint research work comprised the following main activities: (a) generation, detection, and storage of cutting force sensor signals obtained during sensor-based monitoring of machining processes with variable cutting conditions generating different chip forms, and (b) cutting force signal (CFS) characterization and feature extraction through advanced processing methodologies, aimed at comparing chip form monitoring results achieved on the basis of innovative signal analysis and processing.