Multi Sensor Signal Processing for Catastrophic Tool Failure Detection in Turning
Vittorio Balsamo , Alessandra Caggiano , Krzysztof Jemielniak , Joanna Kossakowska , Mirosław Nejman , Roberto Teti
AbstractThis 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.
|Journal series||Procedia CIRP , ISSN 2212-8271|
|Publication size in sheets||0.5|
|Keywords in English||Catastrophic tool failure; Turning; Sensor monitoring; Signal processing; Feature extraction|
|Score|| = 0.0, 21-08-2020, ArticleFromJournal|
= 5.0, 21-08-2020, ArticleFromJournal
|Publication indicators||= 7; = 11; = 18.0|
|Citation count*||19 (2020-09-02)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.