Method for improving preset precision of rolling force of Sendzimir rolling mills in unstable-state rolling phases

Abstract

The invention discloses a method for improving the preset precision of rolling force of Sendzimir rolling mills in unstable-state rolling phases. The method is characterized by comprising steps of compiling rolling models for computing the rolling force; correcting and optimizing friction coefficient models in the rolling models by the aid of model self-learning processes; iteratively computing friction coefficients of unstable-state phases of each previous pass by the aid of measured data and using the friction coefficients as friction coefficients of unstable-state phases of each next pass for computing preset values of the rolling force of the next pass. The method has the advantages that the preset computational precision of the rolling force can be greatly improved on the basis of improving the friction coefficient models, the mean relative deviation between the unstable-state preset rolling force and measured rolling force is 4.63%, the probability of relative deviation lower than 10% is 96.94%, accordingly, the thickness control precision of band steel can be effectively improved, the quality of products can be improved, and the method has important application value on improving the preset precision of the rolling force of the Sendzimir rolling mills in the unstable-state rolling phases during actual production.

Description

technical field [0001] The invention belongs to the technical field of stainless steel production and manufacture, and relates to a method for improving the rolling force preset precision in the unsteady-state rolling stage of a Sendzimir rolling mill. Background technique [0002] After decades of unremitting development, the thickness accuracy of cold-rolled strip steel has reached a very high level. The thickness deviation of strip steel in the high-speed steady-state rolling stage can generally be controlled within 3%, and the thickness of some newly-built or rebuilt units The accuracy can even reach within 1%. In order to pursue higher product quality, the center of gravity of people's attention gradually shifts to the unsteady rolling stage. In the unsteady rolling stage of the speed-up and down-speed rolling of the Sendzimir mill, because the rolling speed is small and constantly changing, a stable lubricating oil film cannot be formed in the rolling zone. These hav...

AI Technical Summary

Problems solved by technology

In the unsteady rolling stage of the speed-up and down-speed rolling in the Sendzimir mill, because the rolling speed is small and constantly changing, a stable lubricating oil film cannot be formed in the rolling zone. These have caused the friction coefficient and deformation resistance in the unsteady rolling stage to be different from those in the steady rolling stage. Therefore, the friction coefficient and deformation resistance calculated by the traditional rolling force model are quite different from the actual situation. large, and then the deviation of the calculated rolling force preset value is also large, and the inaccurate rolling force preset directly leads to low precision of strip thickness control

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