Physicochemical properties and structure of titania-containing metallurgical slags: a review

Yan, Zhiming; Lv, Xuewei; Li, Zushu

doi:10.1007/s42243-021-00678-z

Cited by 9 publications

(1 citation statement)

References 109 publications

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“…Common oxides in molten slag can be divided into three types, including acid oxide, basic oxide, and amphoteric oxide [6,7]. As a representative of acidic oxides, SiO 2 is a strong network former, and its atomic structure basically exists as a [SiO 4 ] 4− tetrahedron.…”

Section: Introductionmentioning

confidence: 99%

Developments in Atomistic and Nano Structure Evolution Mechanisms of Molten Slag Using Atomistic Simulation Methods

Jiang,

Li,

et al. 2024

Nanomaterials

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Molten slag has different properties depending on its composition. The relationship between its composition, structure, and properties has been the focus of attention in industrial manufacturing processes. This review describes the atomistic scale mechanisms by which oxides of different compositions affect the properties and structure of slag, and depicts the current state of research in the atomic simulation of molten slag. At present, the research on the macroscopic properties of molten slag mainly focuses on viscosity, free-running temperature, melting point, and desulphurization capacity. Regulating the composition has become the most direct and effective way to control slag properties. Analysis of the microevolution mechanism is the fundamental way to grasp the macroscopic properties. The microstructural evolution mechanism, especially at the atomic and nanoscale of molten slag, is reviewed from three aspects: basic oxides, acidic oxides, and amphoteric oxides. The evolution of macroscopic properties is analyzed in depth through the evolution of the atomic structure. Resolution of the macroscopic properties of molten slag by the atomic structure plays a crucial role in the development of fundamental theories of physicochemistry.

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Section: Introductionmentioning

confidence: 99%

Developments in Atomistic and Nano Structure Evolution Mechanisms of Molten Slag Using Atomistic Simulation Methods

Jiang,

Li,

et al. 2024

Nanomaterials

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Slag Electrical Conductivity and Its Effect on Mass Transport and Interfacial Reaction Kinetics

Biswas,

Hazaveh,

Coley

2024

steel research int.

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Pyrometallurgical refining typically involves slag–metal reactions which are commonly controlled by transport of reactants in the slag or metal phase. For the simplicity of analysis, mass transport in slag is generally treated on a phenomenological basis as transport of molecules. Although this approach works well for many of the reaction systems over narrow ranges of conditions, it can fail when extrapolated over a wide range of conditions. In many refining processes, transport of oxygen in slag determines the kinetics of major reactions. Transport of oxygen in slag is strongly influenced by the electrical conductivity of slag. Whilst this has been well understood since the 1950s, there have been relatively few attempts to quantify the effects of slag electrical properties on the refining kinetics. Herein, an overview is presented focusing on the electrical properties of slags and their effects on the transport kinetics in steelmaking reactions. An analysis is conducted based on a modified version of the approach taken by Wagner to describe oxygen transport in solid oxides. Data from the literature including work from the authors’ laboratory is discussed in an evaluation of literature oxygen transport in CaO–SiO2–FetO, CaO–SiO2–Al2O3–FetO, and PbO–Fe2O3 slags.

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HIsarna Process Simulation Model: Using FactSage with Macro Facility

Yan

Htet

Hage

et al. 2023

Metall Mater Trans B

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The HIsarna process is one of the emerging technologies for reducing the carbon footprint of the ironmaking process, which is currently in the pilot plant stage. A kinetic HIsarna process simulation model based on the effective equilibrium reaction zone concept has been developed using the FactSage macro programming facility to advance understanding of the whole process. In the model, the HIsarna process is conceptually divided into various equilibrium zones involving combustion, coal pyrolysis and gasification, gas/slag/carbon reactions, and slag/metal reaction. The model has been validated through the pilot plant data, and the results are in good agreement with the quantity and composition of hot metal, slag, and gas. The HIsarna off-gas stream with high CO2 content can potentially allow capture and storage directly for carbon mitigation. The utilization of titanium magnetite ore in the HIsarna process has also been investigated via the developed model. The injection of titanium magnetite ore which has high FeO content decreases coal consumption. Still, it increases the slag volume as higher gangue content when keeping the same productivity as the pilot plant trial. The HIsarna process shows promising potential in using low-quality high titania iron ore as feed materials, but the slag system needs to be further optimized. From the heat distribution, the off-gas sensible heat accounts for a large part of the input heat due to its high temperature but can be recovered with good efficiency. The present model is an efficient tool for understanding the HIsarna process and providing theoretical guidance for future pilot research.

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Physicochemical properties and structure of titania-containing metallurgical slags: a review

Abstract: How to cite:Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 9 publications

References 109 publications

Developments in Atomistic and Nano Structure Evolution Mechanisms of Molten Slag Using Atomistic Simulation Methods

Developments in Atomistic and Nano Structure Evolution Mechanisms of Molten Slag Using Atomistic Simulation Methods

Slag Electrical Conductivity and Its Effect on Mass Transport and Interfacial Reaction Kinetics

HIsarna Process Simulation Model: Using FactSage with Macro Facility

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