Control method for forward slipping coefficient of hot rolled silicon steel

Abstract

The invention provides a control method for forward slipping coefficient of hot rolled silicon steel. The method comprises steps of additionally arranging a forward slipping control module in a finish rolling model control program, determining the set forward slipping coefficient of each finishing mill according to silicon steel marks and rolling specifications, learning and adjusting the forward slipping coefficients according to actual rolling conditions and loop states, and automatically recovering the forward slipping coefficients after being adjusted in a next rolling period so as to cause the forward slipping coefficient of each finishing mill to be more suitable for features and rolling characteristics of the silicon steel, therefore, the adaptability of the forward slipping coefficient is improved, the possibility of loop accumulation and quality accidents can be reduced, the problem of unstable rolling in silicon steel rolling, in particular to an initial stage of each roller changing period is solved, and the production is ensured to be carried out smoothly.

Description

technical field [0001] The invention belongs to the technical field of rolling technology, and in particular relates to a method for automatically adjusting and controlling the forward slip coefficient of a finishing mill during hot rolling of silicon steel. Background technique [0002] There is a looper device between the hot rolling and finishing stands of the strip steel, which is used to control the flow change between the front and rear stands. The forward slip coefficient is an important parameter to control the metal flow matching between the front and rear racks. In the finishing rolling control, the forward slip coefficient is usually adjusted automatically by model self-learning. The specific process is that the forward slip coefficient used for this piece of steel is After the piece of steel is rolled, the coefficient adjusted by the model self-learning program is based on the actual loop control situation of the previous piece of steel. The coefficient is adjus...

AI Technical Summary

Problems solved by technology

However, in the actual production process, it is found that even in this control mode, when silicon steel is rolled, usually the first few steel loops in each rolling cycle are still unstable, and the indicators such as rolling stability and plate shape are not easy to control

The reason is that the rolling adaptability of the silicon steel is poor due to the particularity of its own performance. For the silicon steel rolled at the end of each rolling cycle (roll change cycle), the updated forward slip coefficient is the same as that of the next rolling cycle. The initial rolling conditions of the cycle cannot be well adapted, so that the set value of the rolling speed cannot reach a more reasonable state, which in turn causes the stacking or pulling of the strip during the rolling process.

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