Thermodynamic and Kinetic Model of the Converter Steelmaking Process. Part 1: The Description of the <scp>BOF</scp> Model

Lytvynyuk, Yuriy; Schenk, Johannes; Hiebler, Martin; Sormann, Axel

doi:10.1002/srin.201300272

Cited by 40 publications

(49 citation statements)

References 25 publications

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“…The coupled system of simultaneous mass transfer limited reactions was then solved with the help of an electro‐neutrality condition

\underset{i}{100% \sum} ν_{i, false[normalO false]} J_{i} = 0

where

ν_{i, false[normalO false]}

is the stoichiometric coefficient of dissolved oxygen with respect to species i . This modeling approach came to be known as the coupled reaction model and has been applied for simulation of a variety of different steelmaking processes …”

Section: Mathematical Modeling Of Hot Metal Desulfurization Processmentioning

confidence: 99%

“…This modeling approach came to be known as the coupled reaction model and has been applied for simulation of a variety of different steelmaking processes. [61,65,[100][101][102][103][104][105] As for hot metal desulfurization, the approach of Ohguchi et al [59] was applied later by Sawada et al, [61] Kitamura et al, [65] and Vargas-Ramirez et al [72] All three models accounted for both transitory and permanent reaction mechanisms. [61,65,72] The models of Sawada et al [61] and Kitamura et al [65] represent different development stages of the same model and thus share many similarities.…”

Section: ½Smentioning

confidence: 99%

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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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“…The coupled system of simultaneous mass transfer limited reactions was then solved with the help of an electro‐neutrality condition

\underset{i}{100% \sum} ν_{i, false[normalO false]} J_{i} = 0

where

ν_{i, false[normalO false]}

Section: Mathematical Modeling Of Hot Metal Desulfurization Processmentioning

confidence: 99%

Section: ½Smentioning

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

“…Several dynamic models [4][5][6][7][8][9] for the BOF have been developed in recent years. Jalkanen [4] developed the CONSIM 5 simulator for the BOF.…”

Section: Introductionmentioning

confidence: 99%

“…Another dynamic model for the basic oxygen furnace was developed by Lytvynyuk et al [7]. All the supplied oxygen is used to form iron oxide and all other refining reactions take place via reaction with FeO.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Simulation of Basic Oxygen Furnace (BOF) Operation

2020

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Basic oxygen furnaces (BOFs) are widely used to produce steel from hot metal. The process typically has limited automation which leads to sub-optimal operation. Economically optimal operation can be potentially achieved by using a dynamic optimization framework to provide operators the best combination of input trajectories. In this paper, a first-principles based dynamic model for the BOF that can be used within the dynamic optimization routine is described. The model extends a previous work by incorporating a model for slag formation and energy balances. In this new version of the mathematical model, the submodel for the decarburization in the emulsion zone is also modified to account for recent findings, and an algebraic equation for the calculation of the calcium oxide saturation in slag is developed. The dynamic model is then used to simulate the operation of two distinct furnaces. It was found that the prediction accuracy of the developed model is significantly superior to its predecessor and the number of process variables that it is able to predict is also higher.

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“…[36][37][38] In this approach, the equilibrium constants are modified to effective equilibrium constants, which in combination with electro-neutrality condition, are employed to solve a system of parallel mass transfer limited reactions.…”

Section: Effective Equilibrium Constant Methodsmentioning

confidence: 99%