Slag Foaming Fundamentals - A Critical Assessment

Abstract

Slag foaming is part of steelmaking process and could bring several benefits: it helps to save energy, improves productivity, enhances the refractory service life, decreases noise pollution and protects the bath from nitrogen incorporation. Unfortunately, slag foaming is a highly dynamic process that is difficult to control. There are factors that limit the quality of the foam generated on the slag, such as: basicity, FeO content, surface tension, viscosity, carbon and oxygen injection. This paper aims to discuss the main factor that induces foaming, mathematical models proposed by different authors and the use of isothermal solubility diagram (ISD) to predict the foam quality.

Keywords: Foaming Slag; Electric Arc Furnaces; Steelmaking Slag

1. Introduction

One of the greatest consumers of electricity, electric arc furnaces (EAF), has been the subject of research in the steel production process. The use of fuel burners and oxygen injectors¹ assists greater use of chemical energy for a possible reduction in electrical energy consumption. However, the loss of energy in the form of heat to the furnace walls occurs, and this reduces energy efficiency.

To reduce this loss of energy, studies were focused on the slag, especially on the phenomenon called foamy slag.

Foamy slag is widely used, not only because it allows energy to be saved, but due to the several advantages it offers, such as ^2,3,4:

• Increased energy efficiency, since the heat from the arc is captured by the slag;

• Protection of the water panels and the roof from radiation;

• Decreased noise pollution;

• Decreased nitrogen incorporation by the bath.

This paper will make a critical assessment of the foamy slag phenomenon, analyzing the behavior of foamy slag with the variation of basicity, viscosity and chemical composition of the slag.

2. Foamy Slag

2.1. Foamy Slag Formation

Foamy slag formation can be divided into 3 steps (Figure 1). Step 1, which is O₂ injection in liquid steel phase, step 2, which is carbon injection into the slag, and step 3, which is when O₂ is injected into the slag.

Figure 1
Diagram showing the formation of CO bubbles.

Initially, oxygen is injected into the molten metal (step 1). This oxygen reacts with the existing carbon (equation 1), forming CO bubbles. The oxygen also reacts with the Fe present in the bath (equation 2).

(1) $\underset{-}{\mathit{C}}+\frac{1}{2}{\mathit{O}}_2\to \mathit{CO}$

(2) ${\mathit{Fe}}_{(\mathit{l})}+\frac{1}{2}{\mathit{O}}_2\to \mathit{FeO}$

As Fe is lost in the form of oxide, carbon is injected into the slag (step 2), performing the iron oxide reduction reaction (equation 3). This step generates CO gas, and also causes Fe to return to the bath, improving furnace performance.

(3) $\mathit{C}+(\mathit{FeO})\to \mathit{CO}+{\mathit{Fe}}_{(\mathit{l})}$

In step 3, oxygen is injected into the slag, to cause oxidation of the carbon present in the slag. In this step, carbon and oxygen can also be injected simultaneously, allowing better generation of CO and better foaming.

(4) $(\mathit{C})+\frac{1}{2}{\mathit{O}}_2\to \mathit{CO}$

In 1998, Pretorius⁶ stated that the CO generated by the bath decarburization reaction (Eq. 1) generally results in better foaming than the CO generated in the later steps. The bubbles formed by decarburization reaction in the bath are distributed more uniformly and have a smaller size, providing better stability to the foaming.

Matsuura⁷ found that the foam produced by iron oxide reduction reaction had smaller bubbles than those produced by reaction 1, producing more stable foam. He concluded that it is unclear if the decarburization reaction is as effective as the iron oxide reduction reaction in the generation of foam. If the CO from decarburization is neglected, the foaming can be controlled through the amount of carbon and oxygen injected during the process.

It is necessary to control the amounts of C and O added, because if excessive O is added, the yield may be reduced due to the loss of Fe to the slag in the form of FeO.

Besides the amount, the location where the addition is being made is also important because each injection location has its peculiarities, such as decarburization when oxygen is injected into the bath and the return of Fe, when carbon is injected into the slag. We note that a more in-depth study needs to be performed to establish at what location the injection generates better foaming, as authors hold divergent opinions^6,7.

2.2. Foaming index

Ito and Fruehan⁸, found a relationship between superficial gas velocity and slag height, which is in equation 5.

(5) $\Sigma =\Delta \mathit{H}/\Delta {\mathit{V}}_{\mathit{g}}^{\mathit{s}}$

Where:

ΔH = Variation in slag height (cm);

ΔV^(s)_g = Variation of superficial gas velocity (cm/s).

As the height of the slag grew linearly with the superficial velocity (Figure 2), and Σ became constant after a certain superficial velocity was reached, they concluded that Σ could be used as a foaming index.

Figure 2
Relationship between slag height and superficial gas velocity for several crucible diameters.

2.2.1. Mathematical models for the foaming index

Several models have been proposed by researchers to define the foaming index using the physical properties of the slag.

Equation 6 includes the model of Ito and Fruehan⁸, which did not consider the presence of solid particles and bubble size.

(6) $\Sigma =5.7\mathit{X}{10}^2\mathit{\mu }/\sqrt{\mathit{\gamma }\mathit{\rho }}$

Where:

µ = viscosity (Pa.s);

γ = surface tension (N.m^-1);

ρ = liquid density (kg.m^-3).

Jiang and Fruehan⁹ carried out a dimensional analysis in order to find the relationship between the physical properties. Thus, they found more specific relationships (equations 7 and 8).

(7) $\mathrm{Basic}\mathrm{Slag}\mathit{:}\Sigma =115\mathit{\mu }/\sqrt{\mathit{\rho }\mathit{\gamma }}$

(8) $\mathrm{Acidic}\mathrm{Slag}\mathit{:}\Sigma =0.93\mathit{\mu }/(\mathit{\rho }\raisebox{1ex}{$2$}\!\left/ \!\raisebox{-1ex}{$3$}\right.\mathit{\gamma })$

However, according to Stadler¹⁰, these relationships do not properly explain the foaming for acidic slag, either because of uncertainties associated with the measurement or prediction of slag properties.

In 1995, Zhang and Fruehan¹¹ proposed new models that considered the bubble diameter (D_b) formed in the foaming.

(9) $\mathrm{Basic}\mathrm{Slag}:\Sigma =115\frac{{\mathit{\mu }}^{1.2}}{{\mathit{\rho }\mathit{\gamma }}^{0.2}{\mathit{D}}_{\mathit{b}}^{0.9}}$

(10) $\mathrm{Acidic}\mathrm{Slag}:\Sigma =10.3\mathit{X}{10}^4\frac{{\mathit{\gamma }}^{1.2}}{{\mathit{\mu }}^{0.4}{\mathit{\rho }}^{11,4}{\mathit{D}}_{\mathit{b}}^{23}}$

For basic slag, the viscosity had a greater weight on the foaming index, while for acidic slag the most influential factor is surface tension.

In Ghag's¹² model (equation 11), viscosity was considered to have a significant effect on the height of the slag, besides considering as well the effective elasticity of the liquid film that forms the bubble (E_ff) and gravitational constant g.

(11) $\Sigma =1\mathit{X}{10}^6\frac{\mathit{\mu }{\mathit{E}}_{\mathit{ff}}}{(\mathit{\rho }\mathit{g}{)}^2{\mathit{D}}_{\mathit{b}}^3}$

Skupien and Gaskell¹³ repeated the dimensional analysis performed by Jiang and Fruehan⁹ for other surface tension values, viscosities and densities, obtaining the following correlation:

(12) $\Sigma =100\frac{{\mathit{\mu }}^{0.54}}{{\mathit{\rho }}^{0.39}{\mathit{\gamma }}^{0.15}}$

Kim et al.², suggested models for the CaO-SiO₂-FeO-Al₂O₃ system and CaO-SiO₂-FeO-MgO_sat.-X (X= Al₂O₃, MnO, P₂O₅ and CaF₂), showing the same parameters used in equation 7.

(13) $\mathrm{Basic}\mathrm{Slag}:\Sigma =214\mathit{\mu }/\sqrt{\mathit{\rho }\mathit{\gamma }}$

(14) $\mathrm{MgO}-\mathit{S}\mathrm{aturated}\mathrm{Slag}:\Sigma =999\mathit{\mu }/\sqrt{\mathit{\rho }\mathit{\gamma }}$

Note that although dependent on the same physical properties, if compared with equation 7, Kim's model (equation 13) shows a large difference in the coefficient, which is due to differences between the properties used in each analysis².

All foaming index models are based on the physical properties of the slag: viscosity (µ), surface tension (γ) and slag density (ρ). However, some authors¹⁴ found no relationship between foaming and slag properties, while others found no relationship between the experimental and theoretical results¹⁵.

It is important to draw attention to the presented models, as they were calculated for temperatures lower than the actual temperatures of the EAF Slag, around 1700ºC, besides having considered that the steel and slag are at the same temperature, but it is known that in the refining step, the temperatures are different, whereas the slag has a higher temperature than the liquid steel ¹⁶.

2.3. Influence of the viscosity

As the foamy slag depends on the rise of bubbles formed by the described reactions, it was found that slag viscosity is extremely important to effective foaming. The increase in viscosity decreases the drainage rate of the liquid foam, giving the bubble a longer residence time, increasing foam height and stability³.

The effective viscosity of the slag can be calculated (equation 12) considering the presence of solid particles.

(15) ${\eta }_{\mathit{e}}=\eta (1-1.35\theta {)}^{-5/2}$

where:

η_e - effective viscosity of the slag (Pa.s)

η - viscosity of the molten slag (Pa.s)

θ - fraction of precipitated solid phases

Figure 3 shows the effect that the viscosity has on the foaming index. An optimal slag is not completely liquid, whereas the presence of solid particles is crucial.

Figure 3
Relationship between the foaming index and effective viscosity.

The solid particles act as nucleation sites for the bubbles, causing a large amount of small bubbles to be generated in the foamy slag⁶. Figure 3 shows that an increase in viscosity provides an increase in the foaming index, reaching a peak where the optimal slag is found. However, an excessive increase in viscosity forms crusty slag and the presence of solid particles begins to be harmful, because bubble ascension is impaired.

Wu et al.¹⁷ demonstrated that for the obtained data, the surface tension and density have very little dependence with the chemical composition and the viscosity decreases as the FeO content increases, which would cause an decrease in the foaming index, strongly varying with basicity and FeO content.

It is risky to use the foaming index as the only parameter in analysis of foamy slag. All models are directly proportional to viscosity, and inversely proportional to density and surface tension. It is known that the viscosity vary with composition, and as said before, it would be a good approximation to use a constant surface tension and density in the model calculation. Then very viscous slag would have a high value of foamy index. This may lead to errors, because very viscous slag can be harmful to the foaming.

2.4. Influence of Basicity

Basicity has a strong influence on the foaming, both in the cases of acidic slag and basic slag, because the basicity is directly related to slag viscosity (Figure 4).

Figure 4
Influence of the %CaO/%SiO₂ ratio on viscosity in a) acidic slag and b) basic slag.

In acidic slag, increasing the CaO content causes a break in silica bonds causing a decrease in viscosity and, consequently, a decrease in the foaming index.

As for basic slag, an increase of the CaO content causes an increase in viscosity due to the saturation of these oxides, causing precipitation of the solid phase in the molten slag, causing to occur what was explained earlier in section 2.3.

According to Morales et al.¹⁹, silica has surfactant properties in the steel slag, allowing solid particles to bind.

2.5. FeO Influence

The FeO present in the slag, in addition to representing a decrease in the furnace yield, also causes an effect that can be deleterious to the slag due to its fluxing characteristic, causing decreased viscosity.

Figure 5 shows the viscosity variation in a CaO-SiO₂-FeO ternary diagram. The isobasicity line (B₂=1) shows that when the same ratio of %CaO/%SiO₂ is maintained, and the FeO content is increased, there is a reduction in viscosity.

Figure 5
Viscosities of CaO-SiO2-FeO slag at 1823 K – calculated by Urbain’s model. With an iso basicity line B2=1.

This shows that the FeO content is extremely important, since there is a balance between the FeO created by the injected O₂ and the FeO reduced by the carbon; if this balance is correct, there will be good foaming.

Corbari²⁰, studied how the slag behaved for different FeO contents, with basicity B₂ = 1.2, showing that for very high or very low FeO contents, the slag height and stability were lower than those found for intermediate FeO values (between 25% and 30%). In these cases, the generated foam was still present after the gas generation decreased considerably (Figure 6).

Figure 6
Relationship between slag height and time for different FeO contents.

Aminorroaya²¹ found that for basicity B₂=2.2, the highest slag height occurred in FeO contents between 20% and 25%. It also showed that for FeO contents between 20%-25%, energy consumption was lower than that found when the FeO content was between 25%-30%.

Therefore, it can be said that there is an optimum FeO content for foaming, but it was different for the two cases shown, 25-30% for Corbari²⁰ and 20-25% for Aminorraya²¹. The data from these authors show the dependence on the chemical composition, due to the difference in basicity (respectively 1.2 and 2.2).

2.6. MgO Saturation

MgO saturation ensures not only the presence of solid particles (as in the case of CaO), but also that the consumption of the refractory is not excessive, as it prevents the slag from "stealing" MgO from the refractory.

To show the saturation levels, Pretorius⁶ developed isothermal solubility diagrams (ISD), as shown in Figure 7. The double saturation point shows the ideal condition to protect the furnace refractories when in contact with the slag.

Figure 7
Generic Isothermal Saturation Diagram.

The ISDs show that the MgO saturation levels vary according to basicity and the FeO content (Figure 8). With the increase in basicity, the MgO levels required for saturation decrease. There is also a reduction in the variation of MgO saturation contents with the increase in FeO (line between points [a] and [b] in Figure 8).

Figure 8
Isothermal saturation diagrams for different basicities (a) B₃=2.0; (b) B₃=2.5; (c) B₃=3.0.

Using the FactSage v.6.4 thermodynamic simulation software, Paulino²² made ISD's with the same conditions as those used by Pretorius, showing that the behavior of the saturation line could be different (Figure 9). This software uses Gibbs energy minimization to calculate general phase diagram sections thermodynamically using the zero phase fraction line concept (ZPF). The program first scans the edge of the diagram to find the ends of the ZPF lines. Each line is then followed from beginning to end, using Gibbs energy minimization to determine the point at which a phase is just on the verge of being present²³.

Figure 9
Isothermal saturation diagrams for different basicities (a) B₂=2.0; (b) B₂=2.5; (c) B₂=3.0.

According to Paulino, the conditions for MgO saturation were the same for slag with low basicity (B₂ < 2.0). For higher basicity, the slope of the saturation line is positive, increasing the MgO saturation with the FeO contents, therefore the FeO effect in the MgO saturation line is the contrary to what was mentioned by Pretorius. Besides that, the MgO saturation and double saturation point values obtained by FactSage software were lower if compared to the values found previously.

Some of the differences may possibly be attributed to the chosen database. As the "FToxid", the main database considered, is composed by two databases: FToxid solution (FToxid53Soln.sda - contains oxide solutions); FToxid compound (FToxid53Base.cdb - contains all stoichiometric solid and liquid oxide compounds). However Paulino only used the solution model, rather than using compound solution model as well²².

Concerning the lowers MgO values obtained by the software, Tayeb et al.²⁴ analyzed FactSage's ability to accurately predict MgO saturation. Figure 10 compares the current data, filled triangles, to calculated values of FactSage, open circles. It is apparent that FactSage underestimates MgO solubility by up 2.5 wt pct, as compared to the measured data, especially at higher basicities, while showing reasonable agreement at lower basicities²⁴.

Figure 10
MgO solubility predicted by Factsage, open circles, and the measured solubility based on the chemical analysis results, filled triangles, as a function of the binary basicity at various FeO contents.

The ISDs are a quick and practical way to analyze MgO saturation and the quality of slag foaming, but some issues need to be considered, such as the presence of other oxides, because they may have large influence both on the liquid field and the double saturation point.

2.7. Influence of superficial gas velocity

For adequate foaming, the presence of CO bubbles is required; a high amount of bubbles together with good stability results in more efficient foaming. Superficial gas velocity is essential to obtain these results.

There are significant differences in the behavior of the foam generated by high and low gas velocity. These foams are called expanded slag and foamy slag, respectively³.

Figure 11 shows the "position" of the foamy slag and the expanded slag considering the fraction of gaps and superficial gas velocity. The fraction of gaps for both types of slag can be almost the same, making it easy to confuse the expanded slag with the foamy slag.

Figure 11
Summary of superficial gas velocity by fraction of gaps for foaming and non-foaming systems.

The main differences between the foamy slag and expanded slag are²⁵:

• Foamy slag: low superficial velocity; two distinct layers: a layer of foam over the layer of slag with few gaps; a large amount of bubbles, with thin walls, providing good stability, that is, the foam takes a long time to collapse even when gas generation decreases significantly.

• Expanded Slag: a uniform and mixed layer; the fraction of gaps varies according to the superficial gas velocity (Figure 10); a turbulent appearance; large gaps with thick walls separating them, causing low stability, that is, when the gas generation decreases, the height of the slag starts to decrease considerably.

Zhu et al.³ concluded that as the superficial gas velocity increases, the slag height increase rate decreases dramatically. This occurs when the amount of slag that has still not foamed is consumed, causing a change in the mechanism causing a less stable foam.

Barella et al.²⁶ stated that decrease in the height of the foam at high superficial gas velocity is associated with the increase of bubbles created in the gas diffuser. However, in industrial tests, the foam did not collapse at higher superficial velocities, since the bubbling process, under industrial conditions, led to the formation of fine bubbles that are not suitable for draining.

2.8. Influence of the bubble size

Another parameter that influences slag foaming is the bubble size. It is known that fine bubble generate better quality foaming than the foam generated by large bubbles²⁶. This is because the fine bubbles generate spherical cells that are more stable, whereas the large bubbles generate polyhedral cells, which have reduced stability¹¹.

The bubble size suffers influence of several factors, such as surfactant elements, superficial gas velocity and gas forming reactions.

Although there is disagreement among authors about the reaction that produces the finest bubbles and thus better foaming (section 2.1), it is clear the need for further study to better understand the creation of bubbles by the reactions shown in equations 1 to 3.

According to Zhang ¹¹, the size of bubbles generated in the metal/slag interface depends on the activity of the surfactant element in the bath. This is because the bubble size is determined by the ratio between the thrust and interfacial tension, depending on the contact angle. Surfactant elements, such as sulfur, increase this angle, resulting in larger bubbles and less stable foaming.

A high superficial gas velocity is associated with larger bubbles, and with this, less stable foaming. This is because large bubbles favor the drainage of the fluid film, which reduces bubble stability²⁶.

Some authors who tested different mathematical models, found no statistical evidence to justify the use of bubble size and the surface tension depression in place of the surface tension as a predictor of foaming¹⁰. But as stated before some authors found that foamy index was inversely proportional to the average bubble diameter¹¹ or to the cube of the bubble diameter¹².

3. Conclusions

Knowledge of the steel-making process is of utmost importance to understand the foamy slag phenomenon.

It is necessary to optimize several parameters so that slag foaming can have the best performance possible:

• A good amount of carbon and oxygen available so that the reactions that generate CO can occur, producing a large amount of bubbles;

• Slag saturation (%CaO and %MgO) for high viscosity, with solid particles that nucleate CO bubbles;

• Optimal FeO content of the slag;

• Low superficial gas velocity, preventing the slag from becoming expanded slag.

Since it is a complex practice, the slag foaming phenomenon can still be extensively explored and developed by researchers in order to improve the steelmaking process in the steel industry.

4. References

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Publication Dates

• Publication in this collection
  02 Mar 2017
• Date of issue
  Mar-Apr 2017

History

• Received
  25 Jan 2016
• Reviewed
  28 Nov 2016
• Accepted
  25 Jan 2017