Metallurgical and Materials Transactions B

, Volume 47, Issue 5, pp 2861–2874 | Cite as

Evaluation of Existing Viscosity Data and Models and Developments of New Viscosity Model for Fully Liquid Slag in the SiO2-Al2O3-CaO-MgO System

  • Chen Han
  • Mao Chen
  • Weidong Zhang
  • Zhixing Zhao
  • Tim Evans
  • Baojun Zhao
Article
First Online:

Abstract

Metallurgical properties of slag are determined to a great extent by its viscosity. High-temperature viscosity measurements are time-consuming and expensive. It is necessary to develop an accurate viscosity model for blast furnace slag in the SiO2-Al2O3-CaO-MgO system using reliable viscosity data. This paper describes a systemic evaluation procedure to determine the viscosity data to be used for model development. 1780 viscosity data from 10 to 65 wt pct SiO2, 3.5 to 40 wt pct Al2O3, 2 to 60 wt pct CaO, and 2 to 38 wt pct MgO in the SiO2-Al2O3-CaO-MgO system have been accepted for model evaluation after critical reviews. The existing 14 viscosity models in SiO2-Al2O3-CaO-MgO system is also reviewed and evaluated. Based on the structure of alumina-silicate slag and evaluated viscosity data, a new viscosity model has been proposed for the system SiO2-Al2O3-CaO-MgO. A new term “probability,” based on the basic oxide and electronegativity, is introduced to calculate the integral activation energy of slag. The model has been evaluated and compared with existing viscosity models in three different composition ranges in SiO2-Al2O3-CaO-MgO system for different applications. The new model reports an outstanding agreement between predictions and experimental data. The industrial implications of the new model have also been discussed in ironmaking and steelmaking processes.

Keywords

Viscosity Measurement Blast Furnace Slag Viscosity Data Viscosity Model Slag Composition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgments

The authors would like to acknowledge the financial support from Shougang Group, China and Rio Tinto Iron Ore, Australia.

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Copyright information

© The Minerals, Metals & Materials Society and ASM International 2016

Authors and Affiliations

  • Chen Han
    • 1
  • Mao Chen
    • 1
  • Weidong Zhang
    • 2
  • Zhixing Zhao
    • 2
  • Tim Evans
    • 3
  • Baojun Zhao
    • 1
  1. 1.School of Chemical EngineeringThe University of QueenslandBrisbaneAustralia
  2. 2.Shougang Research Institute of TechnologyBeijingChina
  3. 3.Rio Tinto Iron OreSydneyAustralia

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