Method for improving precision of size control for continuous hot-rolled novel first coil

Abstract

The invention belongs to the technical field of automatic rolling control and provides a method for improving precision of size control for a continuous hot-rolled novel first coil. During rolling of the novel first coil, a novel steel variety subprogram and a layer model parameter adjustment subprogram are automatically added to setting and calculation of a conventional continuous hot rolling procedure. The method has the advantages that the two subprograms are automatically called during procedure setting and calculation, model parameters in corresponding layers are judged, searched and adjusted, the precision of size control for the novel first coil is improved, and the problem that the precision of size control for the novel first coil during rolling is poor is solved; especially, when few types and specifications of steel are rolled in the initial use stage of a rolling mill, the method can be applied to quickly improve model rolling parameters of the adjacent layers, maintenance is easier for model maintainers, and workload of maintainers is reduced.

Description

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AI Technical Summary

Benefits of technology

This patented technology proposes an improved way to measure dimensions on rolls during production processes without having them be damaged or worn out over time by reducing their size. It solves problems with previous methods such as lack precision due to factors like temperature variations between different parts of the same machine used for manufacturing it's final product.

Problems solved by technology

Technological Problem addressed in this patents relates to ensuring accurate dimensions controllability (CD) in industrial processes involving heat continuously casted strips made up mostly of carbon steels that require high quality surface finishes like those required for advanced materials. Current methods involve manually adjustment of parameter tables based upon trial measurements taken over several hours before final product manufacture begins. These manual corrections may also lead to incorrect calculations due to imperfections in the underlying physics governing equation. Additionally, current techniques have limitations in terms of adaptive learning capabilities which allow automatic tunings without human intervention.

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