The velocity field in the molten slag region of esr systems: a comparison of measurements in a model system with theoretical predictions

Choudhary, M.; Szekely, J.; Medovar, B. I.; Emelyanenko, Yu. G.

doi:10.1007/bf02666953

Cited by 31 publications

(17 citation statements)

References 4 publications

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“…The influence of CO bubbles on bath stirring was considered negligible because they only affect the immediate vicinity of the electrodes. Velocities calculated in the present work was marginally higher than in other similar studies, the latter ranging from 0.03 to 0.43 m/s [6,7,10,11,27,28,31,35,36] . This may be attributed to lower slag viscosity values in this study ( Table 1 ) compared to the literature.…”

Section: Velocitycontrasting

confidence: 43%

A CFD analysis of slag properties, electrode shape and immersion depth effects on electric submerged arc furnace heating in ferronickel processing

Karalis

Karkalos

Cheimarios

et al. 2016

Applied Mathematical Modelling

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a b s t r a c tA 2D, steady-state computational fluid dynamics (CFD) analysis of an industrial electric arc furnace (EAF) is presented. The analysis accounts for the electrode shape and immersion depth, as well as for the dependence of Joule heating on the properties of the slag. The equations for the electric potential, momentum and heat transfer were solved across four distinct regions (i.e. air, slag, ferronickel and firebricks) and the final profile of the slag/metal interface was calculated as a function of the operating parameters of the furnace. The results indicate that the amount of Joule heat produced by the Söderberg electrodes increased with increasing applied voltage and electrical conductivity of the slag; the Joule heat peaked for a value of slag electrical conductivity equal to 3 S/m. A highly conductive slag along with a greater electrode immersion depth was found to facilitate the melting process. The maximum slag velocity values computed were of the order of 0.8 m/s in the vicinity of the electrode tips.

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Section: Velocitycontrasting

confidence: 43%

A CFD analysis of slag properties, electrode shape and immersion depth effects on electric submerged arc furnace heating in ferronickel processing

Karalis

Karkalos

Cheimarios

et al. 2016

Applied Mathematical Modelling

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“…We cannot obtain local solidification time directly, so Flemings [39] put forward the relationship of LST and dendritic spacing as shown in Eq. [36]:…”

Section: Molten Steel Pool and Remelting Ratementioning

confidence: 98%

“…These results are similar to previous simulation results. [5][6][7][8][9][35][36][37] C. Electrode Fusion Model…”

Section: A Validation Of the Mathematical Modelmentioning

confidence: 99%

Comprehensive Mathematical Model for Simulating Electroslag Remelting

Dong

Fan

Cao

et al. 2016

Metall Mater Trans B

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Droplet formation and departure from an electrode tip affect the temperature distribution in liquid slag and a molten steel pool, as well as the removal of nonmetallic inclusions in the electroslag remelting process. In this article, magneto-hydrodynamics modules coupled with a volume of fluid (VOF) model (as described in VOF model theory) for tracking phase distribution have been employed to develop the electrode fusion model and to investigate formation and departure of a droplet from the electrode tip. Subsequently, the remelting rate and molten steel pool have been achieved based on the electrode fusion model. Results indicate that a droplet can increase the flow rate of liquid slag, especially the region of droplet fall through the slag pool; yet it has little impact on the flow distribution. Asymmetric flow can take place in a slag pool due to the action of the droplet. The depth of the molten steel pool increases in the presence of droplets, but the width of the mushy zone decreases. In addition, the shape of the electrode tip is not constant but changes with its fusion. The remelting rate is calculated instead of being imposed in this work. The development of the model supports further understanding of the process and the ability to set the appropriate operating parameters, especially for expensive and easy segregation materials.

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“…A reliable power efficiency is achieved from literature. 30) Nevertheless, it has to be modified built on the actual condition of our experiment. A value of 0.18 has been adopted in the work.…”

Section: Fluid Flowmentioning

confidence: 99%

Comparison of Thermo-electromagneto-hydrodynamic Multi-physical Fields in ESR Furnace with Vibrating and Traditional Electrodes

Wang

2017

ISIJ Int.

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The velocity field in the molten slag region of esr systems: a comparison of measurements in a model system with theoretical predictions

Cited by 31 publications

References 4 publications

A CFD analysis of slag properties, electrode shape and immersion depth effects on electric submerged arc furnace heating in ferronickel processing

A CFD analysis of slag properties, electrode shape and immersion depth effects on electric submerged arc furnace heating in ferronickel processing

Comprehensive Mathematical Model for Simulating Electroslag Remelting

Comparison of Thermo-electromagneto-hydrodynamic Multi-physical Fields in ESR Furnace with Vibrating and Traditional Electrodes

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