A novel approach for real-time prediction and prevention of tool chipping in intermittent turning machining

DOI	Trouver le DOI : https://doi.org/10.1016/j.cirp.2018.04.065
Auteur	Rechercher : Hassan, M.; Rechercher : Sadek, A.¹; Rechercher : Damir, A.¹; Rechercher : Attia, M. H.¹; Rechercher : Thomson, V.
Affiliation	Conseil national de recherches du Canada. Aérospatiale
Format	Texte, Article
Sujet	cutting; condition monitoring; prefailure prediction
Résumé	An integrated tool condition monitoring system, based on a novel signal processing approach, for online prediction and prevention of tool chipping in intermittent turning is presented. It identifies the unstable crack propagation features of the prefailure phase, independent of the cutting parameters and workpiece material. A correlation between the chipping size and these features was developed for decision making, to protect machined surfaces. Experimental validation results confirmed the accuracy of the proposed system. The time required for signal processing, decision making and communication with the machine controller allows stopping the operation before part damage. No such system is presently available.
Date de publication	2018-04-26
Maison d’édition	Elsevier
Dans	CIRP Annals 67, nº 1 : 41–44.
Langue	anglais
Publications évaluées par des pairs	Oui
Numéro NPARC	23003502
Exporter la notice	Exporter en format RIS
Signaler une correction	Signaler une correction (s'ouvre dans un nouvel onglet)
Identificateur de l’enregistrement	f5e22e36-5cad-4f6b-b0ff-44aa222c240b
Enregistrement créé	2018-07-12
Enregistrement modifié	2020-03-16