Zobrazeno 1 - 3
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pro vyhledávání: '"Nagesh Tambake"'
Autor:
Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi, Sachin Salunkhe, Robert Čep, Emad Abouel Nasr
Publikováno v:
Advances in Mechanical Engineering, Vol 16 (2024)
The state of cutting tools profoundly influences the efficiency of the machining processes within the manufacturing industry. Cutting tool faults are highly undesirable and can adversely impact the performance of machine tools, leading to a shortened
Externí odkaz:
https://doaj.org/article/9c210a180fad41e0835d8d0178955950
Autor:
Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi, Haitham A. Mahmoud, Robert Cep, Sachin Salunkhe, Emad Abouel Nasr
Publikováno v:
Frontiers in Materials, Vol 11 (2024)
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 dow
Externí odkaz:
https://doaj.org/article/cf82f08ee4664b13a993f4150a3ef4fb
Publikováno v:
Materials Today: Proceedings. 72:1061-1067
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f80551d623a9aad62f498bf588802a7
https://doi.org/10.1016/j.matpr.2022.09.163
https://doi.org/10.1016/j.matpr.2022.09.163