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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Bibliographic Details
Main Authors: Ying Liu, Shayu Song, Youdong Zhang, Wei Li, Guijian Xiao
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/14/19/5701