Molten steel temperature prediction model based on bootstrap Feature Subsets Ensemble Regression Trees

2016 ◽  
Vol 101 ◽  
pp. 48-59 ◽  
Author(s):  
Xiaojun Wang ◽  
Ping Yuan ◽  
Zhizhong Mao ◽  
Mingshuang You
Keyword(s):  
Prediction Model ◽  
Molten Steel ◽  
Regression Trees ◽  
Temperature Prediction ◽  
Steel Temperature ◽  
Model Based ◽  
Molten Steel Temperature ◽  
Ensemble Regression

Temperature Prediction Model for Molten Steel in RH Refining Process

2013 ◽  
Vol 712-715 ◽  
pp. 22-25 ◽  
Author(s):  
Tia Xia ◽  
Zhu He
Keyword(s):  
Mathematical Model ◽  
Prediction Model ◽  
Molten Steel ◽  
Initial Temperature ◽  
Refining Process ◽  
Temperature Prediction ◽  
Steel Temperature ◽  
Molten Steel Temperature

A mathematical model for the RH refining process was developed and validated by the measured molten steel temperature in situ. It is showed that the model predicted temperature matched the measured value well and the average errors within ±5°C were 86.9%. The model results also showed that for every increase of 100°C of the initial temperature of the chamber inwall , the average molten steel temperature increased by about 8°C. For every blowing extra 50m3 oxygen, the steel temperature increased by about 7°C.

Sign in / Sign up

Export Citation Format

Share Document