Modeling of Temperature Prediction in LF Refining Process
LI Changxin
ZHOU Ping
ZHANG Xuemin
DONG Hui
Abstract：The current LF refining endpoint temperature prediction is mainly based on the heat balance of the LF refining process,which is achieved through existing empirical judgment,theoretical analysis,big data regression,and other methods.However,it does not fully consider factors such as the temperature drop of different ladle conditions and the waiting time after the ladle leaves the station.On the basis of fully considering the significant influencing factors in the LF refining station,this paper focuses on the actual situation and conducts regression analysis on different types of ladle conditions and production organization modes.Real time temperature prediction models and endpoint temperature prediction models for the LF refining process are constructed,and verified online in different steel mills at 4 × 120 t and 4 × 210 t,with the deviation between predicted temperature and measured temperature fully meeting normal actual production,providing accurate guidance for temperature control in the LF refining process.
Keywords：LF refiningtemperature predictioncontrol modelregression equation
Publication Date：2025-04-25
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：5( 71-74,77 )