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

Abstract:

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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.

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Periodical:

Edited by:

Shen Dong and Yingxue Yao

Pages:

189-194

DOI:

10.4028/www.scientific.net/KEM.339.189

Citation:

S. Y. Wang et al., "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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$35.00

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