Intelligent Setting Method of Laminar Cooling Process for Hot Rolled Strip

2013 ◽  
Vol 756-759 ◽  
pp. 4377-4381
Author(s):  
Jing Hou ◽  
Jin Xiang Pian ◽  
Yan Ling Sun ◽  
Ke Xu
Keyword(s):  
Working Condition ◽  
Cooling Water ◽  
Water Volume ◽  
Rolled Strip ◽  
Model Parameters ◽  
Case Based Reasoning ◽  
Laminar Cooling ◽  
Cooling Process ◽  
Coiling Temperature ◽  
Operation Condition

In order to improve the control accuracy of the coiling temperature of strip in the laminar cooling process when working condition is varying, an intelligent setting method of the cooling water volume is researched in this paper. The strip coiling temperature mechanism model is built firstly. Secondly, the key model parameters are identified with case-based reasoning (CBR) technology to improve the model accuracy. Lastly, the cooling water volume setting method based the model is proposed where disturbance input method is applied. The simulation result showed that the proposed method can improve the strip coiling temperature accuracy when the operation condition is changing. The strip coiling temperature accuracy can be improved due to the CBR technology which can adjust the key model parameters according to the varying operation condition. So, the setting values based the improved model are adjusted with the changing working condition, with self-adaptive ability.

FE Analysis of Hot Strips’ Temperature Distribution in Laminar Cooling Process

2014 ◽  
Vol 900 ◽  
pp. 647-650
Author(s):  
Yu Qing Zheng ◽  
Jing Yu Cui
Keyword(s):  
Heat Transfer ◽  
Temperature Distribution ◽  
Rolled Strip ◽  
Fe Model ◽  
Laminar Cooling ◽  
Cooling Process ◽  
Transfer Coefficients ◽  
Position Effects ◽  
Simulation Accuracy ◽  
Hot Rolled

The temperature distribution of the hot-rolled strip in the ROT cooling process was calculated and analyzed using ABAQUS in this paper. The complicated heat transfer coefficients of hot strip considering the position effects of top and bottom nozzles, and the non-uniform heat transfer situation along the width direction were defined by user subroutine. The simulation results were in good correlation with test results. It’s helpful for further analysis to improve the temperature distribution uniformity and the simulation accuracy for FE model, and guide the on-site production.

Prediction of Coiling Temperature of Hot Rolled Strip Based on BP Neural Network

2014 ◽  
Vol 633-634 ◽  
pp. 679-683
Author(s):  
En Yang Liu ◽  
Wen Peng ◽  
Ning Cao ◽  
Si Rong Yu ◽  
Jun Xu ◽  
...  
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Rolled Strip ◽  
Laminar Cooling ◽  
Coiling Temperature ◽  
Online Application ◽  
Hot Rolled Strip ◽  
Highly Nonlinear ◽  
Rolling Plant ◽  
Hot Rolled

Coiling temperature of hot rolled strip is one of the important parameters which affect performances of hot rolled strip. The control of coiling temperature is highly nonlinear and time-varying. Based on the laminar cooling control system of a hot rolling plant, a coiling temperature prediction model based on BP neural network was established. Many factors which affect coiling temperature control were taken into account, and the BP neural network was trained by actual production data. The simulation was carried out, which indicates that coiling temperature can be predicted precisely, and the BP neural network model has the prospect of online application.

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.

The New Model of Laminar Cooling System and its Fieldbus System

2014 ◽  
Vol 941-944 ◽  
pp. 2405-2409
Author(s):  
Hai Fang Wang
Keyword(s):  
Control System ◽  
Control Method ◽  
Cooling System ◽  
System Structure ◽  
Temperature Control System ◽  
Rolled Strip ◽  
Laminar Cooling ◽  
Coiling Temperature ◽  
Intelligent Sensor ◽  
Cooling Control

Hot strip cooling temperature and its cooling rate is get by strip cooling system and coiling temperature of hot rolled strip is an important parameter on its performance index. A clew regarded as the laminar cooling control system is controlled by general linear analytical model. Under detailed analysis of its control system structure, basic theory, analytical method, system design and control method, the structure of the temperature control system is characterized by feed-forward control as the main combined with feed-backward control as the assistant, the configuration software for laminar cooling process is constructed, the mathematics model is present, the characteristic of emerging fieldbus control system is analyzed, and the configuration of fieldbus is brought forward and sketch of distributed structure of laminar cooling control system in a hot rolling mill based on fieldbus and intelligent sensor is presented.

scholarly journals Tribological Analysis of Oxide Scales during Cooling Process of Rolled Microalloyed Steel

2014 ◽  
Vol 1017 ◽  
pp. 435-440 ◽  
Author(s):  
Zheng Yi Jiang ◽  
Xiang Long Yu ◽  
Jing Wei Zhao ◽  
Cun Long Zhou ◽  
Qing Xue Huang ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Oxide Scale ◽  
Cooling Rate ◽  
Hot Rolling ◽  
Physical Simulation ◽  
Microalloyed Steels ◽  
Rolled Strip ◽  
Cooling Process ◽  
Coiling Temperature ◽  
Ultra Fast Cooling

The composition and phase transformation of oxide scale in cooling process (after hot rolling) of rolled microalloyed steels affect tribological features of rolled strip and downstream process, and the produced steel surface quality. In this study, physical simulation of surface roughness transfer during cooling process with consideration of ultra fast cooling (UFC) was carried out in Hille 100 experimental rolling mill, the obtained oxide scale was examined with SEM to show its surface and phase features. The results indicate that the surface roughness of the oxide scale increases as the final cooling (coiling) temperature increases, and the flow rate of the introduced air decreases. The cracking of the surface oxide scale can be improved when the cooling rate is 20 °C/s, the strip reduction is less than 12 %, and the thickness of oxide scale is less than 15 μm, independent of the surface roughness. A cooling rate of more than 70 °C/s can increase the formation of retained wustite and primary magnetite precipitates other than the precipitation of α-iron. This study is helpful in optimising the cooling process after hot rolling of microalloyed steels to obtain quality surface products.

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