Paper Title:
On-Line Prediction Model of Ultrasonic Polishing Surface Roughness
  Abstract

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, X.Q. Yang, B. Zhao, "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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