Open AccessStudy on Alloying Yield in Deoxidization and Alloying of Iron and Steel
Author(s) -
Chunhua Lin,
Shuaijun Liu,
Linli Zhang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/461/1/012063
Subject(s) - deoxidization , smelting , metallurgy , yield (engineering) , alloy , ranking (information retrieval) , value (mathematics) , materials science , mathematics , computer science , statistics , artificial intelligence
With the development of the iron and steel industry, the automation of iron and steel smelting batching scheme has become the research focus of the present. In this paper, Grey correlation model is established and the ranking of the factors influencing the yield of alloy is obtained. By establishing the stepwise regression model, the predicted value of alloying yield is got. The predicted value and the actual value of alloying yield are compared by MATLAB, which proves that the predicted value of the model is accurate and the accuracy is high. The model and conclusions are of guiding significance to the production and smelting of alloy steel.