Paper Title:
Research on Surface Roughness Prediction Model Based on Genetic Algorithm for Optical Ultra-Precision Machining
  Abstract

In this paper a dynamic non-linear mathematics model is proposed to predict the surface roughness in optical ultra-precision machining, which can be automatically built by evoling computer program of genetic algorithm. The new model can improve the fitting and predicting accuracy, compared with the traditional linear regression model. The numerical simulation test proves the effectiveness and accuracy of new model.

  Info
Periodical
Edited by
Kai Cheng, Yingxue Yao and Liang Zhou
Pages
369-373
DOI
10.4028/www.scientific.net/AMM.10-12.369
Citation
J. J. Du, C. F. Cheung, S. To, Z.Y. Liu, "Research on Surface Roughness Prediction Model Based on Genetic Algorithm for Optical Ultra-Precision Machining ", Applied Mechanics and Materials, Vols. 10-12, pp. 369-373, 2008
Online since
December 2007
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