Research and Design of Sticker Breakout Prediction System in Continuous Casting Process
Author of the article:ZHOU Xiaofeng;XIAO Junsheng;WANG Zhichun
Author's Workplace：Department of Electrical Engineering, Baotou Vocational Technical College, Baotou 014035, China;School ofInformation Engineering, Inner Mongolia University of Science & Technology, Baotou 014010, China
Key Words：continues casting sticking breakout molten steel leakage prediction BP neural network
Abstract：
The forming process of sticking breakout was introduced, and the temperature variation characteristics of mold wall in normal working condition and bonding process were compared and analyzed. BP neural network was used to establish the temperature identification model for molten steel leakage prediction. 200 groups of typical historical temperature data of a steel plant were used for training. The simulation experiment was carried out by using the virtual instrument platform to build the molten steel leakage prediction experiment system. The results show that the method is practical, accurate and certain application value.
