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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Үндсэн зохиолчид:	Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi, Haitham A. Mahmoud, Robert Cep, Sachin Salunkhe, Emad Abouel Nasr
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Frontiers Media S.A. 2024-04-01
Цуврал:	Frontiers in Materials
Нөхцлүүд:	machine learning approach condition monitoring hobbing cutter failure mode effect analysis (FMEA) hyperparameter optimization CNC hobbing machine
Онлайн хандалт:	https://www.frontiersin.org/articles/10.3389/fmats.2024.1377941/full
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!