scholarly journals A precision on-line model for the prediction of roll force and roll power in hot-strip rolling

2002 ◽  
Vol 33 (10) ◽  
pp. 3255-3272 ◽  
Author(s):  
W. J. Kwak ◽  
J. H. Lee ◽  
S. M. Hwang ◽  
Y. H. Kim
Keyword(s):  
Roll Force ◽  
Hot Strip Rolling ◽  
Strip Rolling ◽  
Line Model ◽  
Hot Strip ◽  
On Line

scholarly journals FE-based On-line Model for the Prediction of Roll Force and Roll Power in Hot Strip Rolling.

2000 ◽  
Vol 40 (10) ◽  
pp. 1013-1018 ◽  
Author(s):  
W. J. Kwak ◽  
Y. H. Kim ◽  
H. D. Park ◽  
J. H. Lee ◽  
S. M. Hwang
Keyword(s):  
Roll Force ◽  
Hot Strip Rolling ◽  
Strip Rolling ◽  
Line Model ◽  
Hot Strip ◽  
On Line

An FE Based On-line Model for the Prediction of Work Roll Thermal Profile in Hot Strip Rolling

2010 ◽  
Author(s):  
Ji Won Choi ◽  
Jung Hyeung Lee ◽  
Cheng Gang Sun ◽  
Sang Moo Hwang ◽  
F. Barlat ◽  
...  
Keyword(s):  
Work Roll ◽  
Hot Strip Rolling ◽  
Strip Rolling ◽  
Thermal Profile ◽  
Line Model ◽  
Hot Strip ◽  
On Line

Friction Estimation and Roll Force Prediction during Hot Strip Rolling

2016 ◽  
Vol 23 (12) ◽  
pp. 1268-1276 ◽  
Author(s):  
Wei-gang Li ◽  
Chao Liu ◽  
Ning Feng ◽  
Xi Chen ◽  
Xiang-hua Liu
Keyword(s):  
Roll Force ◽  
Hot Strip Rolling ◽  
Strip Rolling ◽  
Force Prediction ◽  
Hot Strip ◽  
Friction Estimation

Coiling Temperature Prediction and Application Based on Genetic-Neural Network on Hot Strip Mill

2013 ◽  
Vol 448-453 ◽  
pp. 3417-3420 ◽  
Author(s):  
Tie Jun Sun ◽  
Wei Dong Yang ◽  
Hai Gao ◽  
Hong Tao Mi
Keyword(s):  
Neural Network ◽  
Hot Strip Mill ◽  
Hot Strip Rolling ◽  
Coiling Temperature ◽  
Strip Rolling ◽  
Control Precision ◽  
Hot Strip ◽  
On Line ◽  
Genetic Neural Network ◽  
Coiling Temperature Control

Coiling temperature control (CTC) is very important to the quality of the strip steel in Hot Strip Rolling Mill. In the paper, genetic algorithm and neural network method to predict coiling temperature on hot strip mill were put forward. The genetic-neural network was trained and checked with actual production data. The result indicates that the method can real-time predict the strip coiling temperature. The on-line prediction model and step track method has been put into use. The result shows that the method can settle lag influence in feedback control and the CTC control precision is improved greatly.

scholarly journals Multistep networks for roll force prediction in hot strip rolling mill

2021 ◽  
pp. 100245
Author(s):  
Shuhong Shen ◽  
Denzel Guye ◽  
Xiaoping Ma ◽  
Stephen Yue ◽  
Narges Armanfard
Keyword(s):  
Rolling Mill ◽  
Roll Force ◽  
Hot Strip Rolling ◽  
Strip Rolling ◽  
Force Prediction ◽  
Hot Strip
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