Numerical simulation and tool parameters optimization of aluminum alloy transmission intermediate shell.

( 7 ) is converted to: 9 y = M 0 + M 1 x 1 + M 2 x 2 + M 3 x 3 + M 4 x 4 The regress () function in MATLAB are was used to calculate and process 16 groups of data, and the linear regression equation of the roughness prediction model was obtained 40 : 10 R a = 2.904 b 01 0.136 r 01 - 0.251 γ 0 - 0.061 α 0 - 0.102 Regression analysis and F test were performed on the roughness prediction model, F = 91.22 > F 0.05 (4,11) = 5.936, and the regression equation of the prediction model was highly significant at the level of α = 0.05, indicating that the surface roughness formula and experimental data fit each other with high reliability.

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