The purpose of this paper is to reduce the crop losses at two ends and both sides of a plate in the rolling process, to produce a rectangular plan view pattern plate and to enhance the total product yield of the plates.
Based on sample data and the unchangeable principle of the slab volume in the rolling process, the predictive MAS control models were set‐up. They are width broad MAS predictive model, width broad MAS control model, gaugemeter automatic gauge control (GM‐AGC) model, and plates tracking model. After the models were tuned, the rolling test was implemented at LinFen Iron & Steel Co., Ltd.
It is found that by accurately predictive online modeling of MAS methods, the plan view pattern control can be applied in plate mills.
As the rolling process is in high temperature, the plan view pattern is difficult to be detected. Normally, the real‐time abnormity distortion cannot be obtained.
The test results showed that the crop losses are reduced and the product yield is greatly increased.
This paper presents an accurately predictive online modeling of MAS method.
Yao, X., Yu, X., Wu, Q. and Liang, Q. (2010), "The application research of plan view pattern control in plate rolling", Kybernetes, Vol. 39 No. 8, pp. 1351-1358. https://doi.org/10.1108/03684921011063655Download as .RIS
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