Semi-Empirical Prediction Model Modification of Hot Metal Viscosity in Blast Furnace

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Authors: Shanchao Gao, Xu Geng, Xiaobo Zhang, Chuntang Jia, Zhenghong Zhao
Cited by: 0
References: 10

Abstract

The temperature and concentration dependences of viscosity for blast furnace molten iron were theoretically studied in this paper. Afterwards, a series of semi-empirical viscosity prediction models were compared, and several of which that are suitable for blast furnace molten iron were optimized. The Fe-C system was used as the only benchmark during the whole research to quantify the relationship between component content and melt viscosity. Then, the component action coefficient of viscosity was introduced by fitting the previous viscosity results of iron-based melt. In terms of verification, the viscosity of blast furnace molten iron was measured by using an oscillating cup viscometer, and five semi-empirical viscosity models were selected to calculate the viscosity based on the corresponding concentration of experimental samples. Consequently, by comparing the experimental and calculation results of viscosity, it was concluded that the Hirai model based on the Andrade quasi-crystal theory is the most suitable viscosity prediction model of molten iron in a blast furnace.

Fields of Study & Subjects

Metallurgical Processes and Thermodynamics Iron and Steelmaking Processes Thermodynamic and Structural Properties of Metals and Alloys

Publication details

Journal / source
Processes
Volume
14
Issue
5
Pages
755–755
Publication date
26 February 2026
Language
EN