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

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 201-203)

Edited by:

Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang

Pages:

696-699

DOI:

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

Citation:

J. P. Hu et al., "Surface Roughness Prediction of High Speed Milling Based on Back Propagation Artificial Neural Network", Advanced Materials Research, Vols. 201-203, pp. 696-699, 2011

Online since:

February 2011

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Price:

$35.00

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