Multi Sensor Signal Processing for Catastrophic Tool Failure Detection in Turning

Vittorio Balsamo , Alessandra Caggiano , Krzysztof Jemielniak , Joanna Kossakowska , Mirosław Nejman , Roberto Teti

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.
Author Vittorio Balsamo
Vittorio Balsamo,,
-
, Alessandra Caggiano
Alessandra Caggiano,,
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, Krzysztof Jemielniak ITW
Krzysztof Jemielniak,,
- The Institute of Manufacturing Processes
, Joanna Kossakowska ITW
Joanna Kossakowska,,
- The Institute of Manufacturing Processes
, Mirosław Nejman ITW
Mirosław Nejman,,
- The Institute of Manufacturing Processes
, Roberto Teti
Roberto Teti,,
-
Journal seriesProcedia CIRP , ISSN 2212-8271
Issue year2016
Vol41
Pages939-944
Publication size in sheets0.5
Keywords in EnglishCatastrophic tool failure; Turning; Sensor monitoring; Signal processing; Feature extraction
DOIDOI:10.1016/j.procir.2016.01.010
URL http://www.sciencedirect.com/science/article/pii/S2212827116000214
Languageen angielski
Score (nominal)5
ScoreMinisterial score = 0.0, 28-11-2017, ArticleFromJournal
Ministerial score (2013-2016) = 5.0, 28-11-2017, ArticleFromJournal - czasopismo zagraniczne spoza list
Citation count*0 (2016-07-08)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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