Effect of Fluid Physical Properties on the Emulsification

Savolainen, Jari; Fabritius, Timo; Mattila, Olli

doi:10.2355/isijinternational.49.29

Cited by 41 publications

(48 citation statements)

References 6 publications

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“…19) Many physical water-experiments have also been reported in the literature. 16,17,[20][21][22] Frohberg et al 20) reported mean diameters ranging from 2.3 to 2.8 mm, while Savolainen et al 22) observed average droplet sizes in the range of 2.0 to 8.5 mm.…”

Section: )mentioning

confidence: 99%

A Mathematical Model for the Reduction Stage of the AOD Process. Part II: Model Validation and Results

et al. 2013

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A process model was proposed by Järvinen and co-authors for modelling the side-blowing decarburisation stage of the Argon-Oxygen Decarburisation (AOD) process. In Part I, a new mathematical model was derived for the reduction stage and coupled with the decarburisation model developed earlier. This paper, Part II, considers the validation of the model for the reduction stage with full-scale production data from a 150 t AOD converter in operation at Outokumpu Stainless Oy, Tornio Works, Finland. The results indicate that the model can accurately predict the end composition of the steel bath. Moreover, the model can be used to study rate phenomena during the reduction stage. Model predictions suggest that the reduction rate of chromium oxides is controlled initially by mass transfer of silicon onto the reaction surface and later by the diffusive mass transfer of chromium oxides in the slag droplets. Sensitivity of the model predictions to different initial bath temperatures, blowing times, ferrosilicon particle sizes and ferrosilicon feed rates was studied.

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Section: )mentioning

confidence: 99%

A Mathematical Model for the Reduction Stage of the AOD Process. Part II: Model Validation and Results

et al. 2013

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“…No modelamento físico, quando se estuda as interações entre metal e escória, o sistema água/óleo possui uma limitação quanto à diferença de densidade. De modo a modificar este parâmetro, uma prática comum é utilizar soluções aquosas: de cloreto de zinco, como por exemplo, Lin e Guthrie [5] e Arruda [6]; ou cloreto de sódio, Savolainen et al [7]. Para aplicar uma solução de ZnCl2 como fluido similar ao aço no modelamento físico de um reator RH é necessário desenvolver um método para determinar a taxa de circulação, pois o método por condutivimetria comumente utilizado para este fim, não pode ser aplicado devido à alta concentração de íons na solução.…”

Section: Introductionunclassified

Taxa De Circulação E Previsão Do Comportamento Metal/Escória Em Modelo Físico De Um Reator Rh

Peixoto¹,

Barony²,

Gabriel³

et al. 2017

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

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ResumoNo reator RH, a otimização do fluxo recirculatório de aço entre a câmara de vácuo e a panela é a chave para promover as reações de refino. Neste trabalho, foram utilizados água e solução de cloreto de zinco (ZnCl2) como fluido similar ao aço para investigar a taxa de circulação no modelo a frio de um reator RH em escala 1:7,5. A taxa de circulação foi determinada utilizando o método de pontes de Strain Gages. A técnica PIV foi utilizada de modo a calibrar e validar os resultados. O aumento da vazão de gás de 30l/min para 120l/min resultou na elevação da taxa de circulação para ambos os fluidos. Cálculos preliminares demonstraram que há grande diferença nas condições de arraste de escória entre os sistemas água/óleo e ZnCl2/óleo. Palavras-chave: Modelamento físico; PIV; Desgaseificador RH. CIRCULATION RATE AND PREDICTION OF THE METAL/SLAG BEHAVIOR IN PHYSICAL MODEL OF A RH REACTOR AbstractIn RH reactor, the optimization of the steel circulatory flow between the vacuum chamber and the ladle is the key factor to promote the refining reactions. In this work, water and zinc chloride solution (ZnCl2) were employed as similar fluid to steel in order to investigate the circulation rate in a cold model of a RH reactor built on 1:7.5 scale. The circulation rate was determined using the method of strain gage bridges. The PIV technique was used to calibrate and validate the results. With an increasing on gas flow rate from 30l/min to 120l/min, the recirculation flow rate increased for both fluids (água e ZnCl2). Initial calculations showed that there is a great difference in the conditions of slag dragging between water/oil and ZnCl2/oil systems.

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“…[1][2][3][4][5] Cramb and Jimbo 3) discovered that the interfacial energy between liquid slag and steel is a key factor in determining the emulsification. They estimated based on the interfacial and buoyant energy calculation that surface energy that can be described by interfacial tension between slag and steel is the dominant factor effecting on the emulsification.…”

Section: Introductionmentioning

confidence: 99%

CFD Model for Emulsification of Slag into the Steel

et al. 2009

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A CFD model based on water model experiments has been created to simulate slag entrainment and droplet formation. Multiphase Volume of Fluid (VOF) method is used to track the interface between slag and steel and User Defined File (UDF) code is applied to track separate droplets. Four oil-water systems and three slag-metal systems were simulated. The main objective of this research was to obtain droplet diameter distributions and the average droplet diameter in several different cases. With slag-metal cases the main interest was the effect of interfacial tension to droplet formation. With oil-water systems we studied the effect oil layer width and oil viscosity. The obtained droplet diameter distributions show that the dominant droplet size is 2-3 mm in every oil-water systems. In slag-metal systems the dominant size varies between 1-2 mm and 2-3 mm. The simulations show also that the average droplet size in all cases is 2.78-3.63 mm. The results were compared to the studies available in the literature.

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Effect of Fluid Physical Properties on the Emulsification

Cited by 41 publications

References 6 publications

A Mathematical Model for the Reduction Stage of the AOD Process. Part II: Model Validation and Results

A Mathematical Model for the Reduction Stage of the AOD Process. Part II: Model Validation and Results

Taxa De Circulação E Previsão Do Comportamento Metal/Escória Em Modelo Físico De Um Reator Rh

CFD Model for Emulsification of Slag into the Steel

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