Prediction of Surface Roughness of U71Mn Steel Milling Based on RBF Neural Network


U71Mn high manganese steel
orthogonal test
Surface Roughness
RBF Neural Network

How to Cite

Shudong, Z., Hang, Y., Xiyu, L., & Kevin, J. S. (2022). Prediction of Surface Roughness of U71Mn Steel Milling Based on RBF Neural Network. Journal of Basic & Applied Sciences, 18, 65–71. Retrieved from


In order to predict the surface roughness of U71Mn high manganese steel before actual milling operation, an orthogonal experiment was designed. Based on the intelligent algorithm of Radial Basis Functions (RBF) neural network, an accurate prediction model of surface roughness is done with MATLAB. By comparing the predicted data of RBF neural network model with the actual measured data, it is proven that the model is accurate and effective.



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