Automatic Identification of Tool Wear Based on Thermography and a Convolutional Neural Network during the Turning Process

This article presents a control system for a cutting tool condition supervision, which recognises tool wear automatically during turning. We used an infrared camera for process control, which—unlike common cameras—captures the thermographic state, in addition to the visual state of the process. Desp...

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Detalles Bibliográficos
Autores principales: Brili, Nika, Ficko, Mirko, Klančnik, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967223/
https://www.ncbi.nlm.nih.gov/pubmed/33803442
http://dx.doi.org/10.3390/s21051917

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967223/
https://www.ncbi.nlm.nih.gov/pubmed/33803442
http://dx.doi.org/10.3390/s21051917

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