Surface Roughness Prediction of Titanium Alloy during Abrasive Belt Grinding Based on an Improved Radial Basis Function (RBF) Neural Network

Titanium alloys have become an indispensable material for all walks of life because of their excellent strength and corrosion resistance. However, grinding titanium alloy is exceedingly challenging due to its pronounced material characteristics. Therefore, it is crucial to create a theoretical rough...

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Detalles Bibliográficos
Autores principales: Shan, Kun, Zhang, Yashuang, Lan, Yingduo, Jiang, Kaimeng, Xiao, Guijian, Li, Benkai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673320/
https://www.ncbi.nlm.nih.gov/pubmed/38005153
http://dx.doi.org/10.3390/ma16227224

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673320/
https://www.ncbi.nlm.nih.gov/pubmed/38005153
http://dx.doi.org/10.3390/ma16227224

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