Abstract
In practical production process, the average of silicon content in hot metal (HM) of COREX process (the average is 1.58%) is obviously higher than that in blast furnace (the value is below 0.6%), which leads to an increase in the cost of steelmaking. In this work, the factors affecting and impact mechanism of silicon content in HM were investigated by statistical analysis using actual operating data. The analysis indicates that the fuel rate, binary basicity of slag and the temperature of HM are positively correlated with the silicon content, while the sulfur content of HM and binary basicity of burden are negatively correlated with the silicon content. On this basis, a back propagation neural network was developed to predict and control the silicon content in HM. All the findings of this work are useful for guiding and optimizing the COREX operation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Prachethan Kumar P et al (2006) Factors affecting fuel rate in corex process. Ironmaking Steelmaking 33(4):293–298
Zhang Y (2007) Build of new type steel works with environmental protection, energy saving and resource recycling utilization. Iron Steel 42(1):76–80
Böhm C et al (2004) Greenhouse gas emissions and the iron and steel industry, with a focus on COREX technology. Metallurgia Italiana 96(10):79–83
Tsuchiya N et al (1976) The transfer of silicon from the gas phase to molten iron in the blast furnace. Metall Trans B 7(3):315–320
Chen J (2001) A predictive system for blast furnaces by integrating a neural network with qualitative analysis. Eng Appl Artif Intell 14(1):77–85
Lee SC et al (2000) The effects of operational parameters on the transport phenomena in COREX melter-gasifier. ISIJ Int 40(11):1073–1079
Prachethan Kumar P et al (2008) Influence of operational parameters on silicon in hot metal from corex. Ironmaking Steelmaking 35(2)108–114
Wu SL et al (2017) Analysis of operational parameters affecting the sulfur content in hot metal of the COREX process. Metall Mater Trans B 48(1):276–285
Thorpe TN et al. Oxidation of pyrite in coal to magnetite. Fuel 63(5):662–668
Wang XL (2013) Metallurgy of iron and steel. Metallurgical Industry Press, Beijing, pp 124–127
Qu YX et al (2012) A comprehensive static model for COREX process. ISIJ Int 52(12):2186–2193
Wang C et al (2011) Analysis of factors affecting fuel consumption and optimization of COREX process. Baosteel Technol 6:37–43
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 The Minerals, Metals & Materials Society
About this paper
Cite this paper
Wen, B., Wu, S., Zhou, H., Zhang, J., Gu, K. (2018). Research on Factors Affecting and Prediction Model of Silicon Content in Hot Metal of COREX. In: Hwang, JY., et al. 9th International Symposium on High-Temperature Metallurgical Processing. TMS 2018. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-319-72138-5_58
Download citation
DOI: https://doi.org/10.1007/978-3-319-72138-5_58
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-72137-8
Online ISBN: 978-3-319-72138-5
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)