On-Line Prediction Model of Ultrasonic Polishing Surface Roughness

Abstract:

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In order to solve the difficulty of on-line measuring the surface roughness of workpiece under ultrasonic polishing, the artificial neural networks and fuzzy logic systems are introduced into the on-line prediction model of surface roughness. The surface roughness identification method based on fuzzy-neural networks is put forward and used to the process of plane polishing. In the end, the on-line prediction model of surface roughness is established. The actual ultrasonic polishing experiments show that the accuracy of this prediction model is up to 96.58%, which further evidence the feasibility of the on-line prediction model.

Info:

Periodical:

Edited by:

Bo Zhao, Guanglin Wang, Wei Ma, Zhibo Yang and Yanyan Yan

Pages:

539-543

DOI:

10.4028/www.scientific.net/KEM.455.539

Citation:

M. Zhang et al., "On-Line Prediction Model of Ultrasonic Polishing Surface Roughness", Key Engineering Materials, Vol. 455, pp. 539-543, 2011

Online since:

December 2010

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Price:

$35.00

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