Paper Title:
Predictive Model of Surface Roughness in High-Speed End Milling Process by Factorial Design of Experiments
  Abstract

Predictive models are presented for the surface roughness in high-speed end milling of 0.45%C steel and P20 die-mould steel based on statistical test and multiple-regression analysis. The data for establishing model is derived from experiments conducted on a high-speed machining centre by factorial design of experiments. The significances of the regression equation and regression coefficients are tested in this paper. The effects of milling parameters on surface roughness are investigated by analyzing the experimental curves.

  Info
Periodical
Edited by
Shen Dong and Yingxue Yao
Pages
189-194
DOI
10.4028/www.scientific.net/KEM.339.189
Citation
S. Y. Wang, X. Ai, J. Zhao, "Predictive Model of Surface Roughness in High-Speed End Milling Process by Factorial Design of Experiments", Key Engineering Materials, Vol. 339, pp. 189-194, 2007
Online since
May 2007
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