Prediction and analysis of rolling process temperature field for silicon steel in tandem cold rolling

In order to accurately predict the rolling process temperature field for the high-grade non-oriented silicon steel in five stands tandem cold rolling, a model with multi-layer grids in thickness direction is established with the control volume heat balance method by considering the actual heat sources including the deformation heat, the friction heat, and the heat transfer processes including the contact heat loss and the emulsion heat transfer. Firstly, according to the actual parameters in the industrial field, the entire rolling process temperature field is accurately predicted under the premise of ensuring the model’s convergence. And the model’s reliability is verified by the measured temperature in the field. Secondly, the result shows that the lateral temperature distribution of silicon steel is uneven, and the lateral temperature difference reaches the maximum at the exit of the fifth stand (S5). At last, the strip in S5 is taken as the object to analyze the effects of different rolling parameters on the temperature distribution. The result shows that the reduction rate has a significant effect on the strip temperature distribution while the friction coefficient and the rolling speed have little effects; in addition, the larger the reduction rate, the higher the whole temperature, the smaller the lateral temperature difference and the longitudinal temperature difference. In the long run, the results will provide great references for the rolling parameters adjustment due to temperature control in the industrial field.