A 14-CPU Distributed Automatic Gauge Control System for a Hot Strip Mill

1997 ◽  
Vol 30 (13) ◽  
pp. 109-113
Author(s):  
Ho-Hoon Lee
1998 ◽  
Vol 31 (23) ◽  
pp. 211-216 ◽  
Author(s):  
Y. Wakamiya ◽  
I. Nitta ◽  
K. Yano ◽  
T. Itoh ◽  
H. Matsuda

1990 ◽  
Vol 56 (526) ◽  
pp. 1620-1625
Author(s):  
Hiroyuki HINO ◽  
Ryuichi OZONO ◽  
Hidehiko TSUKAMOTO ◽  
Kazuhiro TSUKUDA

2014 ◽  
Vol 543-547 ◽  
pp. 1233-1236
Author(s):  
Wen Peng ◽  
Geng Sheng Ma ◽  
He Nan Bu ◽  
Jian Zhao Cao ◽  
Dian Hua Zhang

In order to improve the thickness precision, the model adaption method is of great concern which is a necessary component in the thickness control system. The sample concept is first taken into the model adaption in hot tandem mill, from which the learning coefficients are updated by a series of samples. Comparing to the single sample in traditional method, the new method can consider the variance in the length direction. And the source data is more comprehensive, the robustness is increased with flexible proportion coefficients. The thickness precision in stable production process is enhanced to 35μm. On-line result shows practical value and on-line application prospect.


2015 ◽  
Vol 756 ◽  
pp. 592-597 ◽  
Author(s):  
Alexander Sergeevich Karandaev ◽  
Vadim Rifhatovich Khramshin ◽  
Igor Yuryevich Andryushin ◽  
Andrew Grigoryevich Shubin ◽  
Boris Mikhailovich Loginov

The paper studies issues of improvement of the automatic gauge control system (AGCS) in the continuous hot-strip train. The factors influencing longitudinal strip gauge deviations have been classified. It has been proved that Davy McKee AGCS installed at the 2,000 mill of OJSC Magnitogorsk Iron and Steel Works (OAO MMK) does not provide control accuracy factors required at the light gauge strip rolling. The paper considers the functional chart of the improved AGCS realizing algorithm of the dynamic gauge correction. Experimental studies confirm that the developed chart helps to decrease longitudinal strip gauge deviations and, hence – to improve the quality of the products.


1992 ◽  
Vol 25 (19) ◽  
pp. 141-146
Author(s):  
T. Kato ◽  
H. Sekine ◽  
T. Kikuchi ◽  
Y. Hayasi ◽  
T. Kuraishi

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