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

Algorithm Design and Application of Laminar Cooling Feedback Control in Hot Strip Mill

2012 ◽  
Vol 19 (4) ◽  
pp. 39-42 ◽  
Author(s):  
En-yang Liu ◽  
Dian-hua Zhang ◽  
Jie Sun ◽  
Liang-gui Peng ◽  
Bai-hong Gao ◽  
...  
Keyword(s):  
Feedback Control ◽  
Algorithm Design ◽  
Hot Strip Mill ◽  
Laminar Cooling ◽  
Hot Strip ◽  
Design And Application

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.

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

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 Design and Application of an Optimum Backup Roll Contour Configured with CVC Work Roll in Hot Strip Mill

2012 ◽  
Vol 52 (9) ◽  
pp. 1637-1643 ◽  
Author(s):  
Xiaodong Wang ◽  
Fei Li ◽  
Benhai Li ◽  
Lijie Dong ◽  
Baohui Zhang
Keyword(s):  
Work Roll ◽  
Hot Strip Mill ◽  
Backup Roll ◽  
Hot Strip ◽  
Design And Application
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