Research of optimization method for friction coefficient model in cold rolling process

The friction coefficient model in cold rolling process is a nonlinear polynomial. In order to get the parameters of friction coefficient model which can better reflect the real rolling condition,we perform regression analysis on the parameters through optimized method by making full use of the actual process data. The practical application proves that it can improve the calculation precision of the friction coefficient model in cold rolling process and provide a basis for high accuracy rolling.