Predictive maintenance of cutting tools using artificial neural networks
In the manufacturing industry, preventative maintenance of cutting tools plays a critical role in ensuring operational efficiency and minimizing downtime. This paper addresses the problem of accurately predicting the wear level of a cutting tool by applying artificial neural networks. The study uses...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2024-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/01/e3sconf_titds2023_02021.pdf |