Surface Roughness Prediction of High Speed Milling Based on Back Propagation Artificial Neural Network

Jin Ping Hu; Yan Li; Jing Chong Zhang

doi:10.4028/www.scientific.net/AMR.201-203.696

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 201-203Surface Roughness Prediction of High Speed Milling...

Surface Roughness Prediction of High Speed Milling Based on Back Propagation Artificial Neural Network

Abstract:

Prediction of surface roughness is an important research for machining quality analysis. In order to predict surface roughness in machining, increasing productivity under ensuring milling, the artificial neural network is introduced into milling area. To build high-speed milling surface roughness prediction model using BP neural network. Prediction results are compared with experimental value, which shows that this method can achieve better prediction accuracy. It has certain significance for parameters selection of high-speed milling and quality control of the surface.