Advanced Process Modelling of Hot Metal Desulphurisation by Injection of Mg and CaO

Visser, Hessel-Jan; Boom, R.

doi:10.2355/isijinternational.46.1771

Cited by 25 publications

(40 citation statements)

References 3 publications

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“…② Desulfurization by CaO with [Mg] Deoxidation H. J. Visseri and R. Boom 26) reported a hot metal desulfurization mechanism by lime-magnesium injection. From analysis of desulfurization slag, they indicated that desulfurization mechanisms can be understood by both ① and ②. G. A.…”

Section: Mgs S Cao S Cas S Mgo Smentioning

confidence: 99%

“…Many studies have been carried out to evaluate the effects of various additives for desulfurization. [7][8][9] Hot metal desulfurization processes using Mg-containing wire addition [10][11][12] or metallic Mg injection [13][14][15][16] were developed in actual plants. Hot metal desulfurization with Mgbased flux proceeds with gaseous Mg and causes lower temperature drop in the hot metal.…”

Section: Introductionmentioning

confidence: 99%

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Hot Metal Desulfurization Behavior with Dolomite Flux

Nakai¹,

Kikuchi²,

Miki³

et al. 2013

ISIJ Int.

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Hot metal desulfurization behavior with dolomite flux was examined in heat treatment tests of pellets and in small-scale and commercial-scale hot metal desulfurization tests by mechanical stirring. In the heat treatment tests of pellets, the Mg gas generation ratio at 1 673 K increased as the CaO/MgO ratio increased. The Mg gas generation ratio reached 90% with dolomite, which was 1.4 times higher than that with CaO + MgO at the same CaO/MgO. With calcined dolomite and Al ash, CaO efficiency for hot metal desulfurization at 1 673 K was 20-30%, which was around double the results with CaO + MgO and CaO. In the desulfurization slag, sulfur was concentrated not with Mg, but Ca and Al were found in an EPMA analysis and detected as CaS by X-ray diffraction. Desulfurization with calcined dolomite and Al ash is considered to proceed by ① desulfurization by Mg(g) and fixing of MgS as CaS, and ② desulfurization by CaO with Mg de-oxidation. 200 t commercial-scale hot metal desulfurization tests with mechanical stirring were carried out. The obtained Mg efficiency for desulfurization was in the range of 15-25% with Mg consumption of 1-1.3 kg/t as MgO. These results were within the same trend as in other studies using metallic Mg and MgO with Al.

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Section: Mgs S Cao S Cas S Mgo Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hot Metal Desulfurization Behavior with Dolomite Flux

Nakai¹,

Kikuchi²,

Miki³

et al. 2013

ISIJ Int.

View full text Add to dashboard Cite

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“…So far, the improving on injection operation parameters, 6,7) the structure of nozzles, 8,9) and the injection location 10) has been carried out, while its effect on disintegration…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation on Bubble Behavior of Disintegration and Dispersion in Stirring-Injection Magnesium Desulfurization Process

Liang²,

He³

2017

ISIJ Int.

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“…(1) Dependendo do teor de carbono e silício do metal e de SiO2 e Al2O3 da escória podem ocorrer as seguintes reações [2,3]. Conforme mostrado nas reações 1, 3 e 5, a reação entre o enxofre e a cal forma o sulfeto de cálcio (CaS), o qual se forma em torno da partícula de CaO.…”

Section: Introductionunclassified

Desenvolvimento De Modelo Para Prever a Eficiência De Misturas Dessulfurantes De Ferro Gusa Através De Termodinâmica Computacional

Oliveira¹,

Oliveira²,

Soares³

et al. 2017

Anais Do Seminário De Aciaria, Fundição E Metalurgia De Não-Ferrosos

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ResumoEste trabalho tem como objetivo o uso de modelos termodinâmicos da literatura e termodinâmica computacional no estudo de dessulfuração de ferro-gusa através de misturas CaO-Fluorita e CaO-Sodalita. As experiências foram realizadas com a adição de diferentes misturas destes sistemas em ferro-gusa a uma temperatura de 1400°C. Os resultados dos testes foram analisados e comparados com os obtidos pelos modelos termodinâmicos da literatura e o software de termodinâmica computacional ThermoCalc. Através dos modelos da literatura foram calculados basicidade óptica, capacidade de sulfeto (Cs) e partição de enxofre (Ls). Pelo software ThermoCalc foram calculados o teor de enxofre de equilíbrio no metal, fases sólidas, e a quantidade de líquido em cada uma das misturas dessulfurantes utilizadas no processo a uma temperatura de 1.400ºC. O ThermoCalc mostrou-se mais preciso que os modelo da literatura na análise da capacidade de dessulfuração das misturas utilizadas neste trabalho. Palavras-chave: Ferro-gusa; Dessulfuração; Termodinâmica computacional; Modelos termodinâmicos. DEVELOPMENT OF A MODEL FOR PREDICTING THE HOT METAL DESULFURIZING MIXTURES EFFICIENCY BY COMPUTATIONAL THERMODYNAMICS AbstractThis work aims at the use of literature models thermodynamics and computational thermodynamics in the study of hot metal desulfurization through CaO-Fluorspar and CaO-Sodalite mixtures. Experiments were performed with the addition of different mixtures from these systems in molten hot metal at a temperature of 1,400°C. The test results were analyzed and compared with those obtained by the literature models thermodynamics and computational thermodynamics software program ThermoCalc. Through literature models were calculated optical basicity, sulfide capacity (Cs) and sulfur partition (Ls). By software ThermoCalc were calculated the equilibrium sulfur content in the metal, solid phases, and the amount of liquid in each desulfurizing mixture used in the process at a temperature of 1,400 o C. ThermoCalc showed up more accurate than literature model of Cs and Ls in analysis of desulfurizing efficiency of the mixtures used in this paper.

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Advanced Process Modelling of Hot Metal Desulphurisation by Injection of Mg and CaO

Cited by 25 publications

References 3 publications

Hot Metal Desulfurization Behavior with Dolomite Flux

Hot Metal Desulfurization Behavior with Dolomite Flux

Numerical Simulation on Bubble Behavior of Disintegration and Dispersion in Stirring-Injection Magnesium Desulfurization Process

Desenvolvimento De Modelo Para Prever a Eficiência De Misturas Dessulfurantes De Ferro Gusa Através De Termodinâmica Computacional

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