scholarly journals Coiling Temperature Control in Hot Strip Mill

2005 ◽  
Vol 125 (12) ◽  
pp. 1105-1112 ◽  
Author(s):  
Hiroyuki Imanari ◽  
Hiroaki Fujiyama
Keyword(s):  
Temperature Control ◽  
Hot Strip Mill ◽  
Coiling Temperature ◽  
Hot Strip ◽  
Coiling Temperature Control

Development and Application of Advanced Coiling Temperature Control System in Hot Strip Mill

2011 ◽  
Vol 421 ◽  
pp. 140-146 ◽  
Author(s):  
Liang Gui Peng ◽  
En Yang Liu ◽  
Dian Hua Zhang ◽  
Xiang Hua Liu ◽  
Fang Xu
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Heat Radiation ◽  
Hot Strip Mill ◽  
Case Based Reasoning ◽  
Laminar Cooling ◽  
Coiling Temperature ◽  
Hot Strip ◽  
Tracking Model ◽  
Coiling Temperature Control

Run out table cooling equipment and coiling temperature control (CTC) system, especially mathematic models of a hot strip mill were introduced. Heat transfer models such as air convection model, heat radiation model and laminar cooling model, process control models such as segment tracking model, feedback control model, self-learning model and case-based reasoning model were detailed described. Since online application of the new CTC system, the laminar cooling control system has been running stably and reliably with a high precision of coiling temperature.

New coiling temperature control on hot strip mill

1993 ◽  
Vol 90 (3) ◽  
pp. 403-410
Author(s):  
B. Debiesme ◽  
I. Poissonnet ◽  
P. Poissonnet ◽  
F. Penet
Keyword(s):  
Temperature Control ◽  
Hot Strip Mill ◽  
Coiling Temperature ◽  
Hot Strip ◽  
Coiling Temperature Control

On-Line Optimization of Coiling Temperature Control on Run-Out Table for Hot Strip Mills

2007 ◽  
Vol 340-341 ◽  
pp. 701-706
Author(s):  
Hai Bo Xie ◽  
Zheng Yi Jiang ◽  
Xiang Hua Liu ◽  
Guo Dong Wang ◽  
Tian Guo Zhou ◽  
...  
Keyword(s):  
Temperature Control ◽  
Control Strategies ◽  
Hot Strip Mill ◽  
Coiling Temperature ◽  
Dynamic Correction ◽  
Hot Strip ◽  
Wide Range ◽  
Objective Control ◽  
Hot Strip Mills ◽  
Coiling Temperature Control

Based on optimization setup technology, an online adaptive calculation method for improving accuracy of strip coiling temperature control on the run-out table (ROT) has been developed and implemented in hot strip mill (HSM). Multi-objective control strategies, which include coiling temperature, middle target temperature and appropriate cooling rates have been finalised. Cooling strategies, elements tracking, and dynamic correction are employed in the control system. In addition, the model optimization and soft-measure method are also introduced in the study. Rolling tests with various grades of steel covering a wide range of thickness show that the developed model can improve the accuracy of coiling temperature control to obtain an uniform mechanical properties. Good correlation has been found between the predicted temperatures and the actual coiling ones.

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.

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