Prediction of Surface Roughness of Abrasive Belt Grinding of Superalloy Material Based on RLSOM-RBF

It is difficult to accurately predict the surface roughness of belt grinding with superalloy materials due to the uneven material distribution and complex material processing. In this paper, a radial basis neural network is proposed to predict surface roughness. Firstly, the grinding system of the s...

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Detalles Bibliográficos
Autores principales: Liu, Ying, Song, Shayu, Zhang, Youdong, Li, Wei, Xiao, Guijian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510046/
https://www.ncbi.nlm.nih.gov/pubmed/34640122
http://dx.doi.org/10.3390/ma14195701

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510046/
https://www.ncbi.nlm.nih.gov/pubmed/34640122
http://dx.doi.org/10.3390/ma14195701

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