Water Temperature Compensation Method for Improving the Temperature Control Accuracy of Strip Steel Coiling in Laminar Cooling

Abstract

The invention discloses a water temperature compensation method for improving the temperature control accuracy of strip steel coiling in laminar flow cooling, which comprises the following steps: S1, through historical rolling data of hot-rolled strip steel produced based on the strip steel laminar flow cooling model analysis to obtain the genetic coefficient compensation reference value K under different water temperature deviations; S2, based on the self-learning genetic coefficient of the strip laminar cooling model, determine the overall genetic coefficient value X of the strip; S3, according to the genetic coefficient compensation reference value K and the band The overall genetic coefficient value X of the steel, calculate the actual genetic coefficient compensation value of the strip under different water temperature deviations Y=K*X; S4, according to the actual genetic coefficient compensation value of the strip, calculate the actual value of each section of the strip under different water temperature deviations Genetic coefficient value = genetic coefficient value of each section + actual genetic coefficient compensation value of strip steel; S5. According to the actual genetic coefficient value of each section of strip steel, control the amount of boiling water of the laminar flow cooling model of strip steel. The invention is simple and reliable, ensures the stability of the coiling temperature control and reduces the production cost.

Description

Technical field [0001] The present invention belongs to the technical field of steel hot rolling temperature control, and in particular to a water temperature compensation method for increasing the control accuracy of hot rolled strip. Background technique [0002] The hot-rolled strip steel winding temperature must meet a certain process requirement, the winding temperature is too high or too low, which will bring a poor impact on the tissue and performance of the steel, and the control accuracy of the coiled temperature reflects the control level of the hot rolling production line. One of the important indicators. At present, there have been various mathematical models with lamination cooling temperature control as the core, according to the characteristics of laminar flow, the mathematical model can generally be divided into temperature set unit, feedforward control unit, feedback control unit, model self-learning unit. The laminar cooling mathematical model is usually usually...

AI Technical Summary

Problems solved by technology

[0007] However, the existing hot-rolled strip coiling temperature control method still has the defect of inaccurate control accuracy. The main reason is that due to the different layers of the strip, the water required for the strip and the genetic coefficient vary greatly. The strip steel with a small genetic coefficient itself has high rolling water temperature and low water temperature for learning strip steel. The model compensates the coefficient on the basis of learning the strip steel genetic coefficient, which may cause too much water and low temperature.

On the contrary, for the strip steel with small genetic coefficient itself, the rolling water temperature is low, and the learning strip steel water temperature is high. After the model compensates for a coefficient, the water volume may be too small and the coiling temperature may be high.

At the same time, for some steel strips with large genetic coefficients, due to their large genetic coefficients, after compensating a fixed coefficient, the compensation value has little influence on the overall genetic coefficient. Even if the water temperature varies greatly, the actual boiling water volume does not change much , resulting in abnormal coiling temperature accuracy

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