Development and Practice of LF Refining Furnace Temperature Prediction Model
ZHAO Ge
WANG Xueming
HE Sai
Abstract：Refining furnace(LF)is a kind of multifunctional refining equipment,which is widely used in China's iron and steel industry,and LF refining temperature control is very important to the quality of products and the continuous casting process.This paper introduces the application of the mechanism model and the BP neural network algorithm in LF refining temperature prediction in an enterprise.The proportion of the temperature prediction model is 91.95％within the range of±5 ℃,and its prediction accuracy is a major guiding significance for the production and smelting process.After the model used,the electricity saving per ton of steel is about 9.7 kW·h,and the production cost is reduced.This paper also provides a certain reference value for the development of LF temperature prediction model.
Keywords：refining furnace(LF)temperature prediction modelmechanism modelBP neural network algorithm
Publication Date：2023-12-20
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：3( 34-36 )