Some Kinetic Aspects of Reduction of FeO in Molten Slags by Solute Carbon.

Paramguru, R. K.; Ray, H. S.; Basu, Projjal

doi:10.2355/isijinternational.37.756

Cited by 22 publications

(8 citation statements)

References 1 publication

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“…The steel melt, also, affects the slag composition. Based on many researchers, [47][48][49][50][51][52] there is a composition dependence between steel composition and slag composition, since the steel melt carbon content affects the slag iron oxide content.…”

Section: Operating Conditionsmentioning

confidence: 99%

Computational Simulation Model for Metallurgical Effects during EAF Refining Stage: Waiting and Arcing Time

Elkoumy¹,

El-Anwar

Fathy³

et al. 2018

ISIJ International

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3D computational fluid dynamics models using Fluent were developed to investigate the steel melt flow during waiting and arcing time. Both models were transient that analyzed 60 seconds to investigate the flow characteristics considering variation in steel melt thermo-physical parameters and operating conditions. The velocity of melt movement was high enough to make a turbulent flow (solved with realize k-ε turbulence model). It was found that the steel melt flow velocity increases by a combined effect of the steel melt temperature and composition, and slag pressure. The slag pressure increases by a double effect of slag density and height, and the steel melt fluid flow velocity changes with the slag pressure. The effect of the slag thickness is more significant than the effect of thermo-physical properties of steel melt. Although, the maximum steel melt velocity "during arcing time" may be as large as 0.67 m/s located at steel met outlet, the melt exhibits completely dead zones with minimum flow velocity distribution especially at the bottom and circumference areas. This indicates the importance of combined stirring and large reaction rates to achieve a complete homogeneous melt especially at bottom and circumference areas.

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Section: Operating Conditionsmentioning

confidence: 99%

Computational Simulation Model for Metallurgical Effects during EAF Refining Stage: Waiting and Arcing Time

Elkoumy¹,

El-Anwar

Fathy³

et al. 2018

ISIJ International

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“…Therefore, we have compared the k FeO data for droplets with 0.014 and 0.021 wt pctS in current study, i.e., those for which the slag had a high liquid fraction with cases from Shibata et al and Monaghan et al containing high total iron oxide (>29 wt pct) as shown in Figure 5(b). By studying reduction of iron oxide in FeO-rich slag, most investigators [16][17][18][19][20][21][22][23][24] proposed that the reaction was first order with respect to FeO concentration in the bulk slag, and was most likely controlled by FeO mass transfer in the slag. If this is the case, the apparent rate constant can be converted to a mass transfer coefficient for FeO in the slag as done by Woolley and Pal.…”

Section: A Mass Transfer Of Feo In the Slagmentioning

confidence: 99%

The Dynamic Interfacial Oxygen Potential Between Iron-Carbon Droplets and Oxidizing Slag

Dogan

Coley

2017

Metall Mater Trans B

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The dynamic nature of the interfacial oxygen potential during dephosphorization was investigated based on the concept that P O 2 at the interface between slag and liquid metal is determined by the balance between oxygen supply from reducible oxides in the slag and oxygen consumption by alloying elements in the metal. Combining this approach with the knowledge that at the phosphorus reversion point the interfacial oxygen potential can be determined from the bulk phosphorus partition ratio, the mass transfer coefficient for FeO, k FeO , was determined for different slags and found to increase with increasing FeO content. In foamy slags, k FeO was found to be a linear function of slag liquid fraction. Equating the mass transfer rate of FeO in the slag with decarburization rate, the dynamic interfacial oxygen potential was calculated over the course of the reaction, and its effect on the rate determining step for dephosphorization was evaluated.

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“…Empirical models were presented by Mills and others to predict the slag density, based on slag composition and temperature. The mutual reactions between the slag and the steel melt at the interface were also investigated by many researchers . These investigations focused on the effect of carbon additions on the reduction of the iron oxide slag content, as well as its effect on foam slag and EAF productivity .…”

Section: Introductionmentioning

confidence: 99%

Empirical Model for Predicting Process Parameters during Electric Arc Furnace Refining Stage Based on Real Measurements

Elkoumy

Fathy

Megahed

et al. 2019

steel research int.

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The present study aims at building a road map‐model for the steel melt compositional variations during the electric arc furnace (EAF) refining stage. The model is based on real measurements and compared to thermodynamic predictions. The studied parameters are steel melt carbon content and temperature. Herein, high‐temperature investigations (1550–1700 °C) with different chemistry ranges (mainly carbon content, 0.02–0.20% C) are carried out during the refining stage operation. The work develops a detailed empirical model to simulate the industrial EAF refining stage, which can be used to implement different optimization and control strategies for the EAF refining process. Furthermore, the study investigates the refining stage metallurgical phenomenon and the different operating conditions used to produce different steel grades over a wide range of carbon content; from ultra‐low carbon steel “0.02% C” till medium carbon steel grades “0.20% C.” Moreover, the work controls the steel melt tapping parameters for best cost achievement of steel melt yield and electrical energy consumption using simple measurements. These measurements are fitted into simple regression equations and contour plots for best refining stage control of the desired steel grade to be produced.

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Some Kinetic Aspects of Reduction of FeO in Molten Slags by Solute Carbon.

Cited by 22 publications

References 1 publication

Computational Simulation Model for Metallurgical Effects during EAF Refining Stage: Waiting and Arcing Time

Computational Simulation Model for Metallurgical Effects during EAF Refining Stage: Waiting and Arcing Time

The Dynamic Interfacial Oxygen Potential Between Iron-Carbon Droplets and Oxidizing Slag

Empirical Model for Predicting Process Parameters during Electric Arc Furnace Refining Stage Based on Real Measurements

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