| DOI | Trouver le DOI : https://doi.org/10.1504/IJMR.2009.022743 |
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| Auteur | Rechercher : Banerjee, Avisekh; Rechercher : Bordatchev, Evgueni V.1; Rechercher : Choudhury, Sounak Kumar |
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| Affiliation | - Conseil national de recherches du Canada. Institut des matériaux industriels du CNRC
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| Format | Texte, Article |
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| Sujet | on-line monitoring; turning operation; surface roughness; bifurcated opto-electrical transducer; regression models; neural network models; pattern recognition |
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| Résumé | This work studies the feasibility of on-line monitoring of surface roughness in turning operations using a developed opto-electrical transducer. Regression and Neural Network (NN) models are exploited to predict surface roughness and compared to actual and on-line measurements. The comparative study suggests feasibility of using the transducer within 15% tolerance. Pattern recognition analysis of on-line roughness and vibration displacements is used for reliable (>93%) classification of actual roughness. The results provide important information for the future development of on-line diagnostics and control of surface roughness in turning operation. |
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| Date de publication | 2009 |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 21274329 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 1863da16-3912-45d6-8904-52a062cc6bd1 |
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| Enregistrement créé | 2015-03-10 |
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| Enregistrement modifié | 2020-04-16 |
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