Mathematical Model for Forecasting Temperature of Molten Steel during the Continuous Casting Process

Cao Yongguo; Yang Shouli; Li Dingyi

doi:10.13374/j.issn1001-053x.1997.02.001

Volume 19 Issue 2

Aug. 2021

Turn off MathJax

Article Contents

Article Navigation > Chinese Journal of Engineering > 1997 > 19(2): 125-129

Cao Yongguo, Yang Shouli, Li Dingyi. Mathematical Model for Forecasting Temperature of Molten Steel during the Continuous Casting Process[J]. Chinese Journal of Engineering, 1997, 19(2): 125-129. doi: 10.13374/j.issn1001-053x.1997.02.001

Citation:

Cao Yongguo, Yang Shouli, Li Dingyi. Mathematical Model for Forecasting Temperature of Molten Steel during the Continuous Casting Process[J]. Chinese Journal of Engineering, 1997, 19(2): 125-129. doi: 10.13374/j.issn1001-053x.1997.02.001

Citation:

PDF( 424 KB)

Mathematical Model for Forecasting Temperature of Molten Steel during the Continuous Casting Process

doi: 10.13374/j.issn1001-053x.1997.02.001

1. Metallurgy School, UST Beijing, Beijing 100083, China;
2. Central Institute of Iron and Steel Research

Received Date: 1996-03-25
Available Online: 2021-08-27

Abstract

Abstract

The regularity of liquid steel temperature during BOF tapping to the tundish process was studied. With the neural network theory, a mathematical model for forecasting the temperature change of molten steel and its non-lineal functional relations with the influencing factors during CC have been established. With this model, the steel temperature in the CC process can be predicted more correctly.
- liquid steel temperature,
- neural network,
- forecast