Abstract

The milling of titanium alloy has been widely used in aerospace field for the advantages of high-quality and high-efficiency. In order to provide the theoretical basis of practical production through optimizing the milling parameters of titanium alloy material and improving the milling property of Ti-6Al-4V, the orthogonal design approach is adopted to analyze the milling force experiment of three typical microstructure of Ti-6Al-4V titanium alloy, utilizing the algorithm of least squares establishes the multivariate linear regression equations of the milling parameters on the main milling force and conducts the regression analysis, obtained more accurate empirical formula of milling force of Ti-6Al-4V titanium alloy under different heat treatment process. Furthermore, the significances of the regression equation and regression coefficients are testing with using MATLAB statistical software. Consequently, the optimum heat treatment processing and the optimal milling parameters are obtained through analyzing the results above.

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