Predicting the Dynamic Parameters for Milling Thin-Walled Blades with a Neural Network
Accurately predicting the time-varying dynamic parameters of a workpiece during the milling of thin-walled parts is the foundation of adaptively selecting chatter-free machining parameters. Hence, a method for accurately and quickly predicting the time-varying dynamic parameters for milling thin-wal...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2024-02-01
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| Serie: | Journal of Manufacturing and Materials Processing |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2504-4494/8/2/43 |
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