This paper presents a methodology aimed at the identification of a catastrophic tool failure (CTF) in turning processes based on multiple sensor monitoring. Experimental turning tests were carried out under various cutting conditions (cutting speed, feed, depth of cut) using a multi-sensor monitoring system consisting of a triaxial force sensor to acquire the three components of the cutting force and an acoustic emission sensor. Signals analysis, interpretation and processing was performed on the multi-sensor signals acquired during the turning process and relevant statistical features were extracted and used to develop a methodology for the automatic CTF detection during turning.
Balsamo, V., Caggiano, A., Jemielniak, K., Kossakowska, J., Nejman, M., Teti, R. (2016). Multi Sensor Signal Processing for Catastrophic Tool Failure Detection in Turning. In Procedia CIRP (pp.939-944). SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS : Elsevier B.V. [10.1016/j.procir.2016.01.010].
Multi Sensor Signal Processing for Catastrophic Tool Failure Detection in Turning
Caggiano, Alessandra;
2016-01-01
Abstract
This paper presents a methodology aimed at the identification of a catastrophic tool failure (CTF) in turning processes based on multiple sensor monitoring. Experimental turning tests were carried out under various cutting conditions (cutting speed, feed, depth of cut) using a multi-sensor monitoring system consisting of a triaxial force sensor to acquire the three components of the cutting force and an acoustic emission sensor. Signals analysis, interpretation and processing was performed on the multi-sensor signals acquired during the turning process and relevant statistical features were extracted and used to develop a methodology for the automatic CTF detection during turning.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
