Interaction Effect and Optimization of Tool Wear Factors in Crankshaft Turning
To mitigate tool wear effectively and improve machining efficiency as much as possible,the sig-nificance and interaction mechanism of cutting parameter effects were analyzed by combining Box-Behnken response surface and multivariate nonlinear regression,and the regression equation of tool wear with interac-tion effect was fitted.Based on the NSAG-Ⅱ algorithm,the cutting parameters are used as design varia-bles,and the tool wear regression equation and the machining efficiency equation are used as multi-objec-tive optimization functions to optimize the cutting parameters to achieve the purpose of reducing the tool wear speed.The results show that there is a significant positive interaction effect between feed rate and spindle speed.The maximum fitting difference of the established tool wear regression equation in the 95%confidence interval does not exceed 0.000 6,and the error between the optimization result and the numeri-cal simulation result does not exceed 2%,which can effectively reduce tool wear.
NETL
NSTL
万方数据
维普
