Prediction of coiling temperature on run-out table of hot strip mill using data mining

2006 ◽  
Vol 177 (1-3) ◽  
pp. 121-125 ◽  
Author(s):  
H.B. Xie ◽  
Z.Y. Jiang ◽  
X.H. Liu ◽  
G.D. Wang ◽  
A.K. Tieu
Keyword(s):  
Data Mining ◽  
Hot Strip Mill ◽  
Coiling Temperature ◽  
Hot Strip ◽  
Using Data

An On-Line Model to Calculate the Strip Temperature at Run-Out Table of Tisco’s Hot Strip Mill

2003 ◽  
Author(s):  
A. Mukhopadhyay ◽  
S. Sikdar ◽  
S. Sen
Keyword(s):  
Mechanical Properties ◽  
Mathematical Model ◽  
Hot Strip Mill ◽  
Water Cooling ◽  
Coiling Temperature ◽  
Line Model ◽  
Finite Difference Technique ◽  
Hot Strip ◽  
On Line ◽  
Explicit Finite Difference

A Mathematical model has been developed to predict the temperature profile of the strip during water-cooling on the Run-out Table (ROT) of the Hot Strip Mill (HSM). This work describes the development and implementation of the model at Tisco’s HSM. The model has been developed using Explicit Finite Difference technique to predict the coiling temperature (CT). The model has been implemented successfully after having been validated with the actual coiling temperature (CT) for several thousand coils. A number of grades of steel with various thicknesses have been tested with this on-line model and the agreement of actual CT with the predicted ones was found very good. The on-line model is used to calculate the cooling rates at different segments of the strip that are used to obtain microstructure and mechanical properties.

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

scholarly journals Algorithmic design and application of feedback control for coiling temperature in hot strip mill

2017 ◽  
Vol 9 (9) ◽  
pp. 168781401772864 ◽  
Author(s):  
Yafeng Ji ◽  
Xiao Hu ◽  
LianYun Jiang ◽  
Jie Sun ◽  
Hao Wang
Keyword(s):  
Feedback Control ◽  
Hot Strip Mill ◽  
Coiling Temperature ◽  
Hot Strip ◽  
Algorithmic Design ◽  
Design And Application

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.

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.

Research for Coiling Temperature Control System and Mathematical Model on Hot Strip Mill

2011 ◽  
Vol 411 ◽  
pp. 274-278
Author(s):  
Lei Zhang ◽  
Hai Gang Xu ◽  
Chao Zhang ◽  
Chao Wei Duan
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Temperature Control System ◽  
Hot Strip Mill ◽  
Engineering Practice ◽  
Steel Mill ◽  
Laminar Cooling ◽  
Coiling Temperature ◽  
Strip Steel ◽  
Hot Strip

Laminar Cooling is an indispensable part of hot strip steel mill. Based on the devices, instruments and control requirements of 1150mm hot strip steel mill in a certain actual Iron & Steel Co., the laminar cooling control system is designed, including hardware figuration, network framework, software functions, mathematical model, etc. The engineering practice proves that the control system is steady and reliable, and it has the value being popularized in the other similar production line.

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