Chatter Identification in Milling of Titanium Alloy Using Machine Learning Approaches with Non-Linear Features of Cutting Force and Vibration Signatures
The generation of chatter during machining operations is extremely detrimental to the cutting tool life and the surface quality of the workpiece. The present study aims to identify chatter conditions during the end milling of Ti6Al4V alloy. Experimental modal analysis is carried out, and stability l...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Prognostics and Health Management Society
2024-03-01
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| coleção: | International Journal of Prognostics and Health Management |
| Assuntos: | |
| Acesso em linha: | https://papers.phmsociety.org/index.php/ijphm/article/view/3590 |
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