Machine learning for monitoring hobbing tool health in CNC hobbing machine
Utilizing Machine Learning (ML) to oversee the status of hobbing cutters aims to enhance the gear manufacturing process’s effectiveness, output, and quality. Manufacturers can proactively enact measures to optimize tool performance and minimize downtime by conducting precise real-time assessments of...
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| 主要な著者: | , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2024-04-01
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| シリーズ: | Frontiers in Materials |
| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/articles/10.3389/fmats.2024.1377941/full |
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