Abstract
A 3D transient numerical model of dephosphorization kinetics coupled with flow field in a top blown converter was built. Through the model the dephosphorization reaction rate influenced by the oxygen jets and the steel flow were simulated. The results show that the dephosphorization rate at the droplet metal–slag interface is two orders of magnitude faster than that at bath metal–slag interface. When the lance oxygen pressure increases from 0.7 to 0.8 MPa, the dephosphorization rate increases notably and the end content of P has a decrease of 19 %. However, when the pressure continues rising to 0.9 MPa, the dephosphorization rate has no significant increase. In addition, the lance height shows a nearly linear relation to the end P content of steel, that the lower the height, the faster the dephosphorization rate.
Introduction
Due to the increasing grade of steel, the controlling requirement of phosphorus during steel refining process is getting higher. So the basic theory of dephosphorization, especially the kinetics, is always a hot spot of research. The dephosphorization reaction of hot metal is the first order reaction and the rate is high at steelmaking temperature. Thus the mass transfer is the rate-controlling step. The dephosphorization rate can be expressed as:
where Wm is the mass of steel and F is the interface between steel and slag. In the top blown converter there are two interfaces, which are bath steel-slag interface and droplet steel-slag interface. The area of bath steel-slag interface approximately equals to the cross section area of converter. But the total area of steel droplets is difficult to calculate due to the various sizes. Brooks et al. [1, 2, 3, 4] carried out cold model and high temperature experiment to investigate the size distribution and resistance time of the droplets, and the results show that the droplet size obeys Roser–Raamer–Sperling (RRS) distribution. Nasu [5] applied X-ray to study the effect of interfacial tension on dephosphorization and found that when the dephosphorization reaction is faster, the tension between steel-slag is smaller.
With the development of computer science, the application of computational fluid dynamics (CFD) model in converter flow field research has been successfully implemented. Lv et al. [13] built up a 3D numerical model of flow field in a top blown converter and simulated the effects of oxygen lance and pressure. The flow field in the converter plays an important role in the mass transfer and steel droplet generation, and hence the kinetics of reactions are important. Ersson [14] coupled a CFD model with a thermodynamic model to simulate the decarbonation reaction in the converter. However, the coupling model is just an exploring trial and cannot simulate an industry process.
In this study, by coupling the dephosphorization reaction kinetics model with a CFD model, the multiphase flow field and dephosphorization reaction model in a top blown converter are simulated and some effects of oxygen lance parameters will be discussed.
Modeling
Physics model
The simulated domain is the space just below the oxygen lance tip (including lance nozzles). The capacity of the converter is 80 ton and the hot metal surface height is 1,130 mm, and the lance height is 1,700 mm. The domain is central symmetry and can be simplified into 1/8 for calculation efficiency. Note that the details of geometry size are taken into consideration. The 3D model was then built (on the scale of 1:1) and meshed up with certain mesh distribution and geometric parameters, see Figure 1 and Table 1.
The designed stagnation oxygen pressure is 0.8 MPa, and once the lance parameters are given, the gas flow rate is a function of oxygen pressure. In order to investigate the influence of oxygen pressure, the flow field in converter was simulated under oxygen pressure of 0.7, 0.8 and 0.9 MPa respectively.

Geometric parameters of converter and mesh distribution.
Design parameters of oxygen lance nozzle.
Stagnation pressure, MPa | Throat diameter, mm | Throat length, mm | Exit diameter, mm | Diffuser length, mm | Inclination angle,° | Flow rate, Nm3/h* | Mach number |
---|---|---|---|---|---|---|---|
0.8 | 37.3 | 10 | 48.4 | 100 | 12 | 20,000 | 2.0 |
Note: * Nm3/h, standard cubic feet per hour, gas flow rate at 20 °C, 1 atm.
CFD model
The CFD model was built up based on the method that described in a previous report [13] in detail. The governing equations are continuity, volume fraction (VOF) and standard
Dephosphorization kinetics model
Hypothesis
In order to simplify the model, some assumptions must be made as follows:
The mass transfer in the steel is faster than that at interface;
The mass transfer of phosphorus between bath metal and slag interface obeys the penetration theory and the velocity of slag at the interface equals to that in steel;
The droplets are supposed to be spherical with uniform size;
The area of bath metal and slag interface is calculated from the mesh area approximately;
The oxygen blowing time is set to be 800 s and during this time the lance height, oxygen pressure or Lp remain no change;
The effects of other reactions on dephosphorization are negligible in this model.
The equation of dephosphorization is as:
The reaction has no gas attend or produced. The reactants of de-P reaction are from steel and slag and then the products go to slag and steel respectively. This means the reaction can only happen at steel-slag interface. There are two interfaces at the top blown converter and in this model the mixed control theory is applied.
For the bath metal–slag interface, if the resistance from reaction is neglected, the dephosphorization rate can be expressed as below:
where
Given that the mass transfer of phosphorus in the steel and slag sides obeys penetration theory [11], the mass transfer coefficients can be calculated by the following equations:
where Dm and Ds are diffusion coefficient of phosphorus in steel and slag, m2/s; um and us are velocity of steel and slag around the interface, m/s; l is cycle length of steel flow, and in this model it is the radius of converter, 2.02 m.
For the droplet metal–slag interface dephosphorization, the rate is described as:
where
Since the droplet keeps moving in the slag and can be considered as a sphere, the mass transfer of phosphorus in the surrounding slag is [15]:
where d is the diameter of droplet; Sh is Sherwood number:
In which Re is Reynolds number and Sc is Schmitt number:
In the equation above, v is the velocity of droplet moving in the slag, and in the converter condition with high viscosity slag, it is supposed to be Stokes flow. So v here can be calculated as follows:
where
In eq. (4), if
And after integration, eq. (4) becomes:
where
So by some mathematical transformations:
Equation (10) means dephosphorization amount of one droplet and thus for all the droplets above, the reaction rate is
where
At initial stage of oxygen blowing, the droplets generate but not fall back to the bath. Once the droplets begin to fall (reach the resistance time of the first droplet, t), the amount of droplets that suspending in slag reaches an equilibrium state, in which M represents the mass fraction of these droplets in total steel, kg/(kg steel).
In the converter, the whole dephosphorization rate is
Coupling of models
Considering that the dephosphorization reaction has little effect on the flow field, the two models are coupled by adopting one direction method. That means firstly the CFD model computes stable flow field results in converter and then some parameters from the CFD results, such as interface area, fluid velocity and droplet mass fraction, will be transferred to the kinetics model to simulate the dephosphorization process. The flow sheet is as shown in Figure 2. The relation between models is as shown in Table 2.

Flow sheet of coupling dephosphorization kinetics and CFD model.
Coupling relations of models.
![]() |
Results and discussion
Dephosphorization rate

Comparison of dephosphorization rates at different interfaces.
There are two interfaces in top blown converter and at both of them dephosphorization reaction happens. As is shown in Figure 3, Vp1 and Vp2 are dephosphorization rates and they both decline with time, which is caused by the decreasing phosphorus content. Besides, Vp1 is two magnitudes larger than Vp2, which is consistent with the results of Molloseau [16], who has reported that the decarbonation rate with emulsion is two magnitudes bigger than that without droplets generated. This means that the dephosphorization reaction mainly happens at the droplet metal–slag interface and is governed by the droplet generation parameters. Although the size of single droplet is small, the big specific surface area leads to a large total area.
Effect of oxygen lance pressure
Figure 4 is velocity contour map of converter vertical section. It can be seen that with the oxygen pressure getting higher, the velocity of steel increase, the area with relatively high velocity expands.

Converter’s velocity contour map of vertical section at different oxygen pressure.

Phosphorus content in steel changing with time at different oxygen pressure.
Figure 5 shows the relationship between phosphorus content and time under different oxygen pressure, and the slope of the curve represents the dephosphorization rate. It is indicated that when the pressure gets higher, the rate decreases. As is shown, the dephosphorization rate has an obvious increase with the pressure rising from 0.7 to 0.8 MPa, and the end phosphorus content decreases 19 %. However, when the pressure increases from 0.8 to 0.9 MPa, the change of end phosphorus content is almost negligible.
The dephosphorization rate is related to many factors, such as droplet fraction, bath metal–slag interface area and steel flow velocity. For investigating the influence of different factors on end phosphorus content, their values were monitored under different pressure, see Figure 6. The drop fraction seems to be inversely correlated with the end phosphorus content, while the others do not show any obvious relationship.

Parameters related to dephosphorization kinetics at different oxygen pressure.
Effect of oxygen lance height
Figure 7 illustrates that the flow field is better at highest (2.0 m) and lowest (1.2 m) lance height, while at 1.5 m the high speed area of the flow field is smallest and the low speed area is the biggest. However, in Figure 8, the trends are different, which shows that the dephosphorization rate increases continuously with the lance height getting higher. In fact, dephosphorization has nothing to do with the flow field, but is influenced by the droplet fraction. As is shown in Figure 9, the end phosphorus content is nearly in linear relationship with lance height, and the droplet mass faction shows an inverse correlation with the end phosphorus content.

Converter’s velocity contour map of vertical section at different lance height.

Phosphorus content in steel changing with time at different lance height.

Droplet mass fraction vs end phosphorus content at different lance height.
Conclusions
A dephosphorization reaction kinetics model in top blown converter coupled with CFD model has been built. The effects of oxygen lance have been simulated by this model:
The dephosphorization reaction rate at the droplet metal–slag interface is two magnitudes bigger than that at bath metal–slag interface;
The flow field of steel has no obvious relation with dephosphorization reaction rate but is related to the interaction of oxygen jets and steel, especially the droplet mass fraction, has a direction relation with reaction rate;
When the oxygen lance pressure increases from 0.7 to 0.8 MPa, the end phosphorus becomes 19 % lower, but further to 0.9 MPa, no obvious improvement will be observed;
The end phosphorus content has a nearly linear relation with the lance height, the lower the height is, the smaller the end content is.
Funding statement: This work was financially supported by the National Natural Science Foundation of China (Grant No. 51474085 and 51374047) and the Open Fund of State Key Laboratory of Advanced Metallurgy (Grant No.KF14-02 and KF14-06).
References
[1] G. Ne Dogan, A. Brooks and M.A. Rhamdhani, ISIJ Int., 49 (2009) 24–28.10.2355/isijinternational.49.24Search in Google Scholar
[2] M.A. Rhamdhani, K.S. Coley and G.A. Brooks, Metall. Mater. Trans. B, 36 (2005) 219–227.10.1007/s11663-005-0023-2Search in Google Scholar
[3] G.A. Brooks, S. Yuhua Pan and K. Coley, Metall. Mater. Trans. B, 36 (2005) 525–535.10.1007/s11663-005-0044-xSearch in Google Scholar
[4] G.A. Brooks, K.S. Coley and G.A. Irons, ISIJ Int., 43 (2003) 983–989.10.2355/isijinternational.43.983Search in Google Scholar
[5] M. Nasu, K.C. Mills, B.J. Monaghan, A. Jakobsson and S. Seetharaman, Ironmaking Steelmaking, 26 (1999) 353–357.10.1179/030192399677211Search in Google Scholar
[6] E.T. Turkdogan, ISIJ Int., 40 (2000) 964–970.10.2355/isijinternational.40.964Search in Google Scholar
[7] B.J. Monaghan, R.J. Pomfret and K.S. Coley, Metall. Mater. Trans. B, 29 (1998) 111–118.10.1007/s11663-998-0013-2Search in Google Scholar
[8] S.-ya Kitamura, K.-ichiro Miyamoto, H. Shibata, N. Maruoka and M. Matsuo, ISIJ Int., 49 (2009) 1333–1339.10.2355/isijinternational.49.1333Search in Google Scholar
[9] K. Mori, Y. Fukami and Y. Kawai, Trans. Iron Steel Inst. Jpn., 28 (1988) 315–318.10.2355/isijinternational1966.28.315Search in Google Scholar
[10] W.K. Lewis and W.G. Whitman, Ind. Eng. Chem., 16 (1924) 1215–1220.10.1021/ie50180a002Search in Google Scholar
[11] R. Higbie, Trans. Am. Inst. Chem. Engrs., 31 (1935) 365.Search in Google Scholar
[12] P.V. Danckwerts, Ind. Eng. Chem., 43 (1951) 1460–1467.10.1021/ie50498a055Search in Google Scholar
[13] M. Lv, R. Zhu, H. Wang and R. Bai, Steel Res. Int., 84 (2013) 304–312.10.1002/srin.201200136Search in Google Scholar
[14] M. Ersson, L.H. Glund, A. Tilliander, L. Jonsson and P.R.J. Nsson, ISIJ Int., 48 (2008) 147–153.10.2355/isijinternational.48.147Search in Google Scholar
[15] W.E. Ranz and W.R. Marshall, Chem. Eng. Prog., 48 (1952) 141–146.Search in Google Scholar
[16] C.L. Molloseau and R.J. Fruehan, Metall. Mater. Trans. B, 33 (2002) 335–344.10.1007/s11663-002-0045-ySearch in Google Scholar
© 2017 Walter de Gruyter GmbH, Berlin/Boston
This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Articles in the same Issue
- Frontmatter
- Research Articles
- Estimation for Iron Redox Equilibria in Multicomponent Slags
- The Effect of Multi-inclined Holes on the Creep Properties of Nickel-Based Superalloy
- Estimation of Various Properties of CaO–“FeO”–SiO2 System at 1,673 K by Mass Triangle Model
- The Enhancing Effect of Microwave Irradiation and Ultrasonic Wave on the Recovery of Zinc Sulfide Ores
- The Self-assembled Deposition on the Surface of Mono-crystalline Silicon Induced by High-Current Pulsed Electron Beam
- Numerical Model of Dephosphorization Reaction Kinetics in Top Blown Converter Coupled with Flow Field
- Morphological Evolution of Low-Grade Silica Fume at Elevated Temperature
- Discussion of Carbon Emissions for Charging Hot Metal in EAF Steelmaking Process
- Predictive Models for Modulus of Rupture and Modulus of Elasticity of Particleboard Manufactured in Different Pressing Conditions
- Photoluminescence Properties of Eu3+-activated Silicate Phosphors
- Synthesis, Acidity and Catalytic of the Rare Earth Ce Loaded on the Composite Pore Zeolite Catalyst for Hydrogenation Cracking
Articles in the same Issue
- Frontmatter
- Research Articles
- Estimation for Iron Redox Equilibria in Multicomponent Slags
- The Effect of Multi-inclined Holes on the Creep Properties of Nickel-Based Superalloy
- Estimation of Various Properties of CaO–“FeO”–SiO2 System at 1,673 K by Mass Triangle Model
- The Enhancing Effect of Microwave Irradiation and Ultrasonic Wave on the Recovery of Zinc Sulfide Ores
- The Self-assembled Deposition on the Surface of Mono-crystalline Silicon Induced by High-Current Pulsed Electron Beam
- Numerical Model of Dephosphorization Reaction Kinetics in Top Blown Converter Coupled with Flow Field
- Morphological Evolution of Low-Grade Silica Fume at Elevated Temperature
- Discussion of Carbon Emissions for Charging Hot Metal in EAF Steelmaking Process
- Predictive Models for Modulus of Rupture and Modulus of Elasticity of Particleboard Manufactured in Different Pressing Conditions
- Photoluminescence Properties of Eu3+-activated Silicate Phosphors
- Synthesis, Acidity and Catalytic of the Rare Earth Ce Loaded on the Composite Pore Zeolite Catalyst for Hydrogenation Cracking