On Rolling Force Preset Of Flying Gauge Change In Tandem Cold Mill

Flying gauge change (FGC) is the key technology of full continuous tandem cold mill (TCM). And the rolling force is one of the most important factors influencing strip thickness and flatness. Therefore, researches on the rolling force preset of FGC in TCM is vital important to increase its yield and improve its product quality, etc.In this thesis, it is focused on studying the rolling force preset of FGC in TCM, and two m ethods for improving the p recision o f t he rolling force p reset are presented, b y analyzing and studying current technique of FGC in full continuous tandem cold mill of Benxi Steel. The main works are as follows.First, the process of FGC in TCM is briefly explained so that the questions and their demands could be clearly understood.Second, a method improving the precision of rolling force preset is established by means of the adaptive learning models of deformation resistance and friction which are the most important factors influencing rolling force. The backward calculation models of deformation resistance and friction are based on actual rolling force and actual forward slip in order to improve the rolling force model calculation accuracy. Further, the adaptive 1 earning m odels of deformation resistance and friction are built up based on backward calculation models.Third, a method combining the neural networks with mathematical models is proposed to improve the precision of roiling force preset. The error back propagation (EBP) neural network is used to solve the concrete problem oriented to rolling force error between the measured value and the predicted value about mathematical model. By simulating with MATLAB language, the EBP network combined with mathematical models realizes a high precision preset of the rolling force in TCM-FGC.