Method for improving thickness precision of hot continuous rolling non-oriented silicon steel

Abstract

The invention relates to a method for improving the thickness precision of hot continuous rolling non-oriented silicon steel, which comprises the following steps of: 1) reducing the rough rolling and finish rolling temperature and the finish rolling inlet temperature, reducing the volume number of phase transformation from austenite to ferrite in the finish rolling process, and improving the pre-estimation precision of a rolling force model; (2) loop tension of the finishing mill is reduced, and thickness disturbance caused by the tension is reduced. According to the method, the rolling force estimation precision of the finishing mill can be effectively improved, and the thickness precision and the width precision are improved by reducing the rough rolling and finish rolling temperature and the finish rolling start rolling temperature and adjusting the tension of the finishing mill;

Description

technical field [0001] The invention belongs to the technical field of metal material processing, in particular to a method for improving the thickness precision of hot continuous rolling non-oriented silicon steel. Background technique [0002] The hot rolling process usually utilizes the good plasticity and low deformation resistance of the austenite structure in steel to facilitate rolling. The finish rolling temperature is generally above 800°C, and the phase transition temperature of steel with ordinary carbon-manganese composition system is generally 727°C. ℃, so there is no phase change in the rolling stage. The computer model can use the characteristics of the negative correlation between the temperature of the steel and the deformation resistance to predict the rolling force relatively accurately. [0003] During the rolling process of silicon steel, since silicon is an element that expands the ferrite zone, the phase transition temperature of silicon steel is much...

AI Technical Summary

Problems solved by technology

Since the deformation resistance of ferrite is lower than that of austenite at similar temperatures, and the phase transformation will bring phase transformation heat, there is no single negative correlation between the deformation resistance of metals and temperature. The computer relies on the temperature drop model to predict The method of estimating the rolling force will cause a large deviation. The actual exit thickness of each stand does not match the estimated thickness. The unbalanced second flow rate between the stands causes the abnormal increase or decrease of the looper tension of the finishing mill, which further leads to silicon steel Deterioration of thickness and width accuracy, serious decline in rolling stability and yield