Optimisation of the lance injection desulphurisation of molten iron using dynamic modelling

Scheepers, E.; Eksteen, Jacques; Aldrich, Chris

doi:10.1016/j.mineng.2006.04.010

Cited by 10 publications

(8 citation statements)

References 6 publications

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“…Scheepers et al derived a 1D steady state model which accounts for momentum, heat, and mass transfer in the plume formed by gas, liquid and reagent particles, as well as the contribution of the top slag. The heat balance was formulated according to Farias and Irons .…”

Section: Mathematical Modeling Of Hot Metal Desulfurization Processmentioning

confidence: 99%

A Review of Modeling Hot Metal Desulfurization

Visuri

Vuolio

Haas

et al. 2020

steel research int.

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Hot metal desulfurization serves as the main unit process for removing sulfur in blast‐furnace based steelmaking. The available body of literature on modeling hot metal desulfurization is reviewed to provide an in‐depth analysis of the approaches used and results obtained. The mathematical models for reaction kinetics have evolved from simplistic rate equations to more complex phenomenon‐based models that provide useful information on the effect of physico‐chemical properties and operating parameters on desulfurization efficiency. Data‐driven approaches with varying levels of phenomenological basis have also been proposed with the aim of achieving better predictive performance in industrial scale applications. Bath mixing has been studied using physical and numerical modeling to optimize mixing conditions in ladles and torpedo cars. The coupling of gas‐particle jets and their penetration into the liquid have been a focal point of physical and numerical modeling. In recent years, the fluid flow phenomena in mechanically stirred ladles has been studied extensively using physical and numerical modeling. These studies have focused on the fluid flow field, reagent dispersion, and bubble dispersion.

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Section: Mathematical Modeling Of Hot Metal Desulfurization Processmentioning

confidence: 99%

A Review of Modeling Hot Metal Desulfurization

Visuri

Vuolio

Haas

et al. 2020

steel research int.

View full text Add to dashboard Cite

show abstract

“…Therefore, the buoyancy force is increased, which allows the bubble to rise faster, and to decrease the residence and mixing time. To transfer an adequate momentum and to stir the molten metal in a bigger kettle, an increment in the lance depth 15 or gas flow injection is necessary. A bigger kettle shows an increase in the mixing and residence time for a constant flow rate.…”

Section: Lance and Kettle Dimensionsmentioning

confidence: 99%

“…In addition, they used thermodynamic and kinetic models to simulate the lead refining. Scheepers et al 15 modelled the desulfurization process of molten iron through the injection of calcium carbide by a submerged lance. The modelling considered the kinetic, thermodynamic and transport processes to predict the sulfur levels in pig iron for the Mittal Saldanha Steel plant.…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamic Simulation of Gas - Particle Injection Into Molten Lead

Pérez¹,

Vargas-Ramírez

Ramírez³

et al. 2014

Mat. Res.

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A multiphase-hydrodynamic model was solved with the phase field method and the Cahn-Hilliard equation to simulate the behavior of particle injection with nitrogen as conveying gas through a submerged lance into a lead bath in two dimensions. The residence and mixing time were obtained for different operating parameters like gas flow rate, lance depth, and different kettle and lance dimensions. The residence and mixing time decreased when the injection rate and the lance diameter increased. Therefore, the particle will have less opportunity to react with the liquid bath decreasing the refining metal processes efficiency. When the lance height and kettle dimensions were increased, the residence and mixing time also increased. In order to have an efficient disengagement of the particles from the carrier gas within molten lead, the operating parameters must take into account the residence and mixing times. The Cahn-Hilliard equation represents adequately the hydrodynamic behavior in the lance-kettle system studied.

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“…This promotes intergranular weakness and solidification cracking of the metal. 5) Accordingly, the desulfurization of hot metal is a vital part of the steelmaking process since sulfur in many steel products is detrimental. In general, desulfurization of hot metal is more economical than desulfurization of steel, and about 90 pct of the hot metal produced in blast furnace is desulfurized before it is sent to be processed in a steelmaking furnace.…”

Section: Introductionmentioning

confidence: 99%

Improving the Desulphurization in COREX-3000 Process by the Optimization of Chemical Compositions of Slag

Wang

et al. 2018

ISIJ Int.

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To improve the desulfurization in the COREX-3000 process, several aspects are studied and practiced. The work documented in the present paper focuses on the effects of chemical compositions of slag, such as CaO/SiO 2 , MgO, MgO/Al 2 O 3 and MnO, on desulfurization. Theoretical calculations of sulfide capacity and viscosity of slag and diffusion coefficient of S 2 − in the slag are given to study the effects of slag chemical compositions on the thermodynamics and dynamics of desulfurization. After that, experiments are carried out to verify the theoretical analyses and give the appropriate ranges of these four parameters. The suggested suitable ranges of CaO/SiO 2 , MgO content, MgO/Al 2 O 3 and MnO content for COREX-3000 are 1.20-1.30, 10 wt%-12 wt%, 0.80-0.90 and 0.4 wt%-0.7 wt%, respectively.

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Optimisation of the lance injection desulphurisation of molten iron using dynamic modelling

Cited by 10 publications

References 6 publications

A Review of Modeling Hot Metal Desulfurization

A Review of Modeling Hot Metal Desulfurization

Hydrodynamic Simulation of Gas - Particle Injection Into Molten Lead

Improving the Desulphurization in COREX-3000 Process by the Optimization of Chemical Compositions of Slag

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