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Physical and Numerical Simulation of Supersonic Gas Jets Blown onto a Liquid Sn40Wt Pct Bi Alloy Surface

  • Open Access
  • 10-10-2025
  • Original Research Article
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Abstract

This study delves into the intricate dynamics of supersonic gas jets impacting a liquid Sn40Wt Pct Bi alloy surface, a critical aspect of bath smelting reactors in metallurgical processes. By combining physical and numerical simulations, the research aims to optimize gas injection systems, enhancing the efficiency of these reactors and contributing to the circular economy. Key topics include the hydrodynamic phenomena at the gas-liquid interface, the formation and behavior of drops, bubbles, and melt sloshing/splashing, and the impact of different operating conditions on gas penetration depth. The study also explores the use of computational fluid dynamics (CFD) and water model experiments for validating numerical models. Results indicate that the interaction between high-speed gas jets and liquid metal surfaces is complex and highly dynamic, with significant implications for the efficiency of metallurgical processes. The research concludes that understanding these interactions is essential for optimizing gas injection systems and improving the overall performance of bath smelting reactors.
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Supplementary Information

The online version contains supplementary material available at https://doi.org/10.1007/s11663-025-03767-6.

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Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
α, -
VoF volume fraction
β, deg
Half opening angle of the nozzle diverging section
γ, deg
Nozzle inclination angle (0 deg horizontal, 90 deg vertical)
η, kg/(m s)
Dynamic viscosity
κ, –
Specific heat ratio
λ, W/(m K)
Thermal conductivity
ν, m2/s
Kinematic viscosity
ρ, kg/m3
Fluid density
σ, N/m
Surface tension between Sn40wt pct Bi and argon
A, m2
Area, surface
AOD
Argon oxygen decarburization
BOF
Basic oxygen furnace
cp, J/(kg K)
Specific heat capacity at constant pressure
CFD
Computational fluid dynamics
D, m
Diameter
H, m
Axial distance (along top-lance axis) between the point of gas discharge (nozzle outlet) and liquid metal level; height (in general)
h, J/kg
Enthalpy
HPC
High performance computing
k, m2/s2
Turbulent kinetic energy
L, m
Length; length scale
LIMMCAST
Liquid metal model for continuous casting
Ma, -
Mach number
\(\dot{m}\), kg/s
Mass flow rate
p, Pa
Pressure
Re, –
Reynolds number
SAS
Scale adaptive simulation
SST
Shear stress transport
t, s
Time
T, K
Temperature
TBRC
Top blowing rotary converter
TSL
Top-submerged lance
Tu, –
Turbulence intensity
u, v, w, m/s
Fluid flow velocity components
UDV
Ultrasonic Doppler velocimetry
URANS
Unsteady Reynolds-averaged Navier-Stokes
V, m3
Volume
\(\dot{V}\), m3/s
Volume flow rate
VoF
Volume of fluid
x,y,z,m
Coordinates

Introduction

Bath smelting reactors with injection systems are a key component in pyro-metallurgical processes and, as a recycling unit within the higher-level meaning,[1] are an important element for the circular economy. Understanding the hydrodynamic phenomena is a central aspect of this; simply said, the efficiency of the system is principally defined by the transfer processes at the various interfaces. These characteristics interact directly or indirectly under different operating conditions with the gas penetration depth, formation of drops, bubbles, and melt sloshing/splashing.[2,3]
The metal and non-ferrous metal industry is keenly aware of this, and many process innovations have emerged through the years. Around 70 years ago, the advent of converter technology such as the argon oxygen decarburization (AOD) and the basic oxygen furnace (BOF) process[49] along with bath smelting processes such as the top-blown rotary converter (TBRC) and the top-submerged lance (TSL)[1012] process revolutionized and intensified processing in the steelmaking and non-ferrous metals industries.
Central to these innovations are top-lance and/or bottom injection systems, which have become a crucial component of these technologies.[2] The system, consisting of nozzles and stirrers, primarily injects fuel, oxygen, and nitrogen into the slag domain, thereby significantly influencing the hydrodynamics of the hot metal bath. This, in turn, affects critical process parameters that include reaction kinetics, heat transfer, splashing, and the gas–slag interface, ultimately affecting the overall efficiency of the metallurgical process. Recent experimental and simulation work was reviewed for the TSL, where various splashing phenomena as a function of gas-liquid metal and slag interactions were discussed.[10,13]
Given the complex nature and critical importance of these systems, a comprehensive understanding of the interaction between high-speed gas jets and liquid metal (and molten slag) surfaces is essential. Previous studies have provided valuable insights into these phenomena using a combination of physical and numerical simulations. Notably, computational fluid dynamics (CFD) was utilized, occasionally complemented by water model experiments that serve as a benchmark for model validation. Various CFD approaches were employed to simulate the gas–liquid interface, for example, the volume of fluid (VoF) method, the Cartesian cut cell method, and thermochemical non-equilibrium models.
For these studies, the authors mostly apply the unsteady Reynolds-averaged Navier–Stokes (URANS) equations with the VoF method and a two-equation turbulence model to simulate the jet-metal interaction.[3,69,12,1424] The VoF approach tracks the interface between immiscible fluids and is particularly effective in capturing the complex, transient behavior of the liquid metal surface under the influence of gas jets.[69,18] In these studies, typical flow parameters that are quantitatively calculated include, among other things, the penetration depth of the jet into the liquid metal domain, the diameter of the cavity, and the mixing time of the liquid metal bath. Due to the large calculation times required, two phases (liquid metal, gas) are considered in most cases and only short process times (< 1 s) are simulated.[3,69,12,14,16,2227] The cartesian cut cell method is an alternative approach to representing the free surface, often combined with the VoF method for enhanced accuracy.[18] In addition, approaches based on thermochemical non-equilibrium models are employed, when high-temperature effects such as vibrational energy excitation and dissociation are significant. This applies to the case of oxygen jets impinging on liquid iron containing carbon.[20]
Examples of successful validations, primarily focusing on the penetration depth of the jet into the liquid metal, are discussed in.[79,1517,20,26] Usually, physical experiments apply to down-scaled water models, offering insights into the jet impingement phenomena.[79,26,28] These tests visualize the cavity formation, the wave propagation, and the splashing behavior that are impossible to observe in high-temperature metallurgical settings. High-speed cameras are used to capture the transient behavior of the water surface and image analyses to quantify parameters such as cavity depth and diameter.[79,26] To ensure the water model accurately reflects the dynamics of the metallurgical reactor, the similarity laws between both systems are used by matching key dimensionless numbers, for example, the Froude and Weber number.[7] The studies have demonstrated a good match between the predicted cavity depths from CFD and experiments in both water model tests and scaled-down representations of the metallurgical reactor, mainly in the steelmaking sector.[7,8] This agreement confirms the ability of the models to capture the basic physics of jet impingement, despite some discrepancies under low-pressure conditions.[20] The studies also show that the penetration depth increases as the lance height decreases and the operating pressure rises[79,26]; this finding is consistent with the principles of fluid dynamics. However, the physical and numerical simulations reveal that the cavity is highly unstable and oscillates with time due to wave propagation. This instability contributes to liquid metal splashing and influences the overall mixing and reaction kinetics. Investigations have identified multiple mechanisms involved in the generation of metal drops, including direct ejection from the cavity rim, tearing of liquid sheets or films, and wave-induced breakup. The relative dominance of these mechanisms depends on factors such as lance height, lance inclination angle, nozzle type, and fluid properties.[30]
It is clear from the above that significant advances have been made with numerical modeling. However, some limitations for future research still remain:
  • Accurately predicting the splashing of liquid metal remains a challenge, i.e., the models may not fully capture the complex interactions between single or multiple jets and the turbulent flow field.
  • While some studies have explored the influence of liquid metal properties such as viscosity and surface tension, a more comprehensive understanding of their influence on the splashing and overall bath dynamics is needed, especially considering that experimental models closer to reality should involve liquid metals.
  • Quantitative criteria for different cavity modes (for example, dimpling, splashing, penetrating) observed in water models need to be further developed for industrial applications to facilitate better control and optimization of the metal production process.
  • While vertical impinging jets have been largely investigated, angled lancing as used in TBRC has received little attention.
  • To date, CFD validation using liquid metal experimental data has hardly taken place due to the limited number of experiments available.
Therefore, in view of the aforementioned, this paper will
  • Take advantage of the large-scale liquid metal model for continuous casting (LIMMCAST) test facility at Helmholtz-Zentrum Dresden-Rossendorf (HZDR), dedicated to modeling casting processes and multiphase flows pertinent to metallurgical processes.[1,10,13,29,30] The facility is operated with a Sn40wt pct Bi alloy as a working fluid, chosen for its thermophysical properties similar to those of liquid steel.[31] The low operating temperature of the Sn40wt pct Bi alloy of 220 °C (493 K) compared to the 1600 °C (1873 K) of the steelmaking process facilitates the use of advanced measurement techniques, offering high-resolution data for the complex fluid flow phenomena, which is almost impossible to obtain in liquid steel. This further extends HZDR’s experience, which also includes investigations of liquid metal splashing phenomena applying GaInSn alloys.[1,10,13,30]
  • Extend previous development and validation of numerical models for blowing gas onto metallic melts (liquid metal) on the basis of conventional water model tests up to experiments with liquid metal.
Key techniques at the HZDR test facility include visual inspections with high-speed cameras to capture the dynamics of the free liquid metal surface, providing initial insights into surface level movement, bubble plume dynamics, and surface wave formation. Electrical resistance probes measure the local void fraction, indicating the gas proportion in the liquid metal, while advanced double-contact probes determine bubble velocity and size, with flexible probe grid arrangements. Ultrasound Doppler velocimetry (UDV) measures the Sn40wt pct Bi velocity field by analyzing the Doppler shift of ultrasound signals scattered by particles, providing profiles of the vertical velocity component and revealing flow patterns induced by gas injection.[31] The obtained data assist in establishing boundary conditions for CFD simulations, enhancing the accuracy of predicting and understanding the behavior in metallurgical reactors. Previous experiments at this test facility were carried out exclusively with gas injection at the bottom of the fluid vessel.
The configuration in this study is fundamentally different. A top gas injection system is considered where an intense gas jet impinges on the free metal surface at various distances between the nozzle outlet and the liquid metal level. A similar configuration with a submerged nozzle (top-submerged lance, TSL) was investigated in a small-scale experimental setup using X-ray radiography.[13] In contrast to bottom gas injection, in which the dynamics of complex bubble flows inside the fluid were investigated, it is to be expected that the relevant phenomena occur above the surface of the bath. For this reason, the focus here is on visual observation in the space above the liquid metal using video recordings.
To understand top-blown injection into liquid metal visually and computationally better, this paper will also discuss CFD results by
  • Applying a modified large cylindrical vessel filled with a molten Sn40wt pct Bi alloy used in HZDR’s LIMMCAST facility.
  • Using a sonic (Ma = 1.00) and a supersonic (Ma = 1.85) nozzle installed at a defined distance and under different inclination angles above the liquid metal level.
  • Making qualitative comparison of videos of liquid metal splashing obtained from the experiments with CFD results. The CFD simulations are unique in showing the impact of the gas jet on the free metal surface, in particular the penetration depth of the jet, the occurrence of surface instabilities, the formation and ejection of drops and ligaments as well as the overall size of the phase interface (gas-metal).
The blowing cavity region is crucial for determining the overall liquid metal surface, i.e., interphase boundary area surface plus droplet surface, which ultimately determines the efficiency. Therefore, an increase in the gas-liquid interfacial area would also improve the greening potential of the respective metallurgical smelting technologies. One particular aspect concerns the splashing behavior with the lance at a non-orthogonal angle relative to the surface, as is usual in TBRC technology for processing e-waste and copper materials, among other things.
In summary, this study presents a unique experiment that allows the splashing behavior of a liquid metal following the impact of an intense gas jet to be systematically investigated for the first time. This allows new data to be obtained for the validation of numerical models that was previously inaccessible. The coupled approach of physical and numerical simulation using liquid metal substantially improves the predictive capabilities and efficiency of metallurgical and non-ferrous metals processes. Consequently, this will contribute considerably to a better understanding of the underlying physics and driving the circular economy of society’s consumption to its limits.

Experimental Setup

Industrial Reference Case

The injection of gas into liquid metal using supersonic nozzles generally takes place in all top-blowing and partially in top-submerged lancing technology, where a reactive or non-reactive gas phase or a gas-solid/liquid fuel mixture are injected into a liquid medium through a top-lance system, such as the AOD, BOF,[4,69] the TBRC, and the TSL.[10,12,32,33] These smelting and refining technologies use mainly cylindrical furnaces with a single central lance equipped with a multi-hole nozzle lance tip.
Figure 1 shows an example of a TBRC, representative of top-blowing technology, which is the focus of this paper. The influencing factors for gas injection and the typical reaction zones relevant to their metallurgical process are as follows:
a.
The freeboard containing the combusting and gas-rise zone is located in the upper part of the furnace above the splashing zone, where process gases are generated and subsequently post-combusted with the ambient infiltrated air, if present.
 
b.
The splashing zone, which is defined as the interface between the gas and metal domain. Liquid slag is ejected above the bath and splashing drops and ligaments interact physically and chemically with upward-flowing gases.
 
c.
The liquid metal bath (slag) and reaction zone are located below the splashing zone. In the reaction zone, which is an integral part of the slag phase, the main cavity in the bath is formed and heat recovery occurs in this region as energy from oxidized gases is transferred to splash slag drops returning to the bath region. The liquid metal bath below is quiescent compared with the violently shaken top reaction zone, but the aim is still to generate enough bath movement with the momentum gas flow rate and induce bubble motion that a good mass transfer can take place on the surface areas.
 
d.
The metal or matte phase at bottom of the furnace, where separation of the liquid metal takes place due to density difference and settling occurs; this region forms below the slag phase.
 
Fig. 1
Example of industrial application: Top blowing rotary converter (TBRC) with top-blowing lance and schematic showing main dimensions of the blowing cavity
Full size image
The interaction of the different gas and liquid phases and the resulting surface area are critical aspects for maximizing the reaction, mass, and heat transfer efficiency. Early experiments and initial industrial applications have shown that the physical processes and chemical reactions in the individual zones described above depend essentially on the type of gas injection in the liquid metal and the resulting momentum of the gas jet.[10,13,3436] Therefore, in Figure 1, the highlighted cavity is the focus of this work.
The lance setup (number of nozzles, nozzle geometry, gas supply pressure, lance inclination angle, distance nozzle-liquid metal surface, and type of gas), which generates the gas jet, is of particular significance. The gas jet creates oxidizing, neutral, or reducing conditions in the furnace by regulating the air–fuel ratio in the gas control unit of the injection system to control the slag chemistry (via the oxygen partial pressure) in the bath.[3] All of the above aspects influence the splashing and mixing phenomena; however, chemical reactions are excluded from this work.

Lab-Scale Experimental Setup: Vessel, Nozzles, Gas Injection System

A key requirement for the model experiment is that essential features of the industrial process are replicated as realistically as possible. In the present case, the focus is primarily on the direct impact that the gas jet has when it impinges on the liquid metal surface. For this reason, a supersonic gas jet is blown from a defined position above onto the free surface of a liquid metal at rest. The main difference between liquid metal and water is that the metal has a significantly higher density and surface tension. This suggests that the dynamics of the bath surface and the detachment behavior of drops and fluid elements are different than in water. The experimental setup used in this study is an integral part of the LIMMCAST facility at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), which is designed for the physical modeling of flow processes in continuous steel casting.[29] LIMMCAST is operated with the binary alloy Sn40wt pct Bi, and the liquidus temperature of which is approx. 170 °C. Relevant thermophysical properties of this model fluid are very similar to those of liquid steel.[37]
The current experiments are carried out in a cylindrical vessel made of stainless steel with an inner diameter of D1 = 600 mm and the height of the metal bath set at H1 = 600 mm (cf. Figures 2(a), 4, and Table I). Electric heaters were installed to control the temperature of the liquid metal during the measurements, and the side wall is provided with thermal insulation. A lid is mounted on the container containing various adapters that are used for installing the gas supply or monitoring the liquid metal surface by means of video technology.
Fig. 2
Experimental setup at HZDR: (a) longitudinal section of the vessel filled with the Sn40wt pct Bi alloy, (b) isometric projection of the vessel lid, (c) Top view of the vessel lid with inspection windows and borescope position
Full size image
Table I
Geometric Data of HZDR Vessel, Supersonic Nozzles, and Process Data (The Calculation of the Supersonic Nozzle Data in this Table is Based on the Mathematical Principles of the Isentropic Theory of Flow[39])
Vessel
  
HZDR
CFD domain
D1
mm
600
400
H1
mm
600
200
H2
mm
400
150
  
Nozzle I
Nozzle II
\(\dot{m}\)
kg/s
2.317 × 10-3
7.546 × 10-3
\({\dot{V}}_{0}\)
Nm3/s
1.300 × 10-3
4.233 × 10-3
p0
bar
2.070
6.790
T0
K
293.15
293.15
D2
mm
8.0
8.0
D*
mm
2.2
2.2
D3
mm
2.2
2.6
H3
mm
5.0
4.6
H4
mm
1.3
H5
mm
6.2
6.2
H6
mm
350
87.9
β
deg
0
2.5
u*
m/s
275.53
275.53
p*
bar
1.013
3.324
T*
K
221.25
221.25
u3
m/s
275.53
404.00
T3
K
221.25
138.56
Ma3
-
1.000
1.853
Ambience
p
bar
1.01325
T
K
293.15
Four Laval nozzles of different sizes (1.00 ≤ Ma ≤ 1.85) were designed and manufactured to generate the sonic and supersonic gas jets. A Laval nozzle is a tube which is pinched in the middle, first narrows (converging section), and then widens (diverging section), with the transition from one to the other being smooth, cf. Figure 4. The specific characteristic of a Laval nozzle is that the outlet velocity is predetermined by the ratios p*/p0, T*/T0, ρ*0, the volumetric gas flow rate \({\dot{V}}_{0}\) , the back-pressure p, and ultimately by the nozzle geometry. In this study, however, it was decided to focus on just two nozzles that produce Mach numbers of Ma3 = 1.00 and Ma3 = 1.85 at their outlet (position (3), cf. Figure 4). The nozzles were designed according to the isentropic theory of flow,[39] and the characteristic data apply to the nozzles used here, are:
  • Nozzle I: p0 = 2.070 bar, \({\dot{V}}_{0}\) = 0.078 Nm3/min, β = 0°, \(\dot{m}\) = 2.317 × 10-3 kg/s, Ma3 = 1.00
  • Nozzle II: p0 = 6.790 bar, \({\dot{V}}_{0}\) = 0.254 Nm3/min, β = 2.5 deg, \(\dot{m}\) = 7.546 × 10-3 kg/s, Ma3 = 1.85
For more details, cf. Table I. During the experiment, the respective nozzle is fitted to a gas lance with an outer diameter of 15 mm and vertically aligned from above with the liquid metal surface (cf. Figure 2(b)). The distance H between the nozzle outlet and the liquid metal surface can be varied over a wide range, including submerging the nozzle in the molten metal; this study focuses on distances H between 10 mm and 150 mm.
To fill the vessel before starting the experiments, the liquid metal is pushed by pressurized argon from a storage tank into the vessel through a feed line in the bottom. The filling process is finished when a level of H1 = 600 mm above the steel plate is reached. The diameter-to-height ratio of D1/H1 = 1 of the fluid volume then corresponds to the typical value in the industrial process.

Measurement Concept and Visual Inspection of Free Metal Surface

The measurements presented in this study focus on a visual observation of the processes on the free surface due to the impact of the gas jet. The lid of the fluid container is equipped with three observation windows where two cameras and the illumination system are installed (cf. Figure 2(b)). One window is placed in the center of the lid, allowing a vertical line of sight to the central part of the bath surface. Two further windows are installed at a defined radial distance and an angle of 25  deg relative to the vertical position. Furthermore, the lid has a couple of feedthroughs through which, for example, individual sensors can be introduced into the measuring volume.
A full-frame mirrorless camera (Sony α7III) with a fixed focal length of 40 mm is used to observe the free metal surface and the space above. This camera allows frame rates of up to 100 frames/s in HD with an exposure time of 1/500 s used in most cases. All videos are recorded in full HD with a 16:9 aspect ratio and a resolution of 1920 x 1080 pixels.
Various lighting systems were tested. The Godox LC30B, Bi-Color LED lamp, which has a brightness capability of up to 6500 Lux, is used for all recordings presented in this study. However, one major challenge is that the liquid metal features a highly reflective surface, which carries the risk of severe overexposure.
A portable high-temperature water-cooled borescope (HTO-038 from CESYCO, OptoPrecision GmbH) is used to obtain a viewpoint from inside the vessel in addition to the access through the lid (cf. Figure 3). This provides a better observation of the impingement point of the supersonic jet and the vertical movement of the fluid filaments ejected from the bath by the gas jet. The borescope is mounted (aligned vertically) at one of the feedthroughs on the vessel lid (radial distance r = 240 mm). In principle, the tip of the borescope can be equipped with various types of lenses. The lens used in this series of experiments results in an optical axis that deviates 70  deg from the vertical axis. This optical lens system at the tip of the borescope opens a circular field of view with an aperture angle of 60  deg. To provide a certain degree of protection against hot liquid metal splashes and high temperatures, the lens system is sealed off from the outside by a sapphire glass window. In addition, the lens is shielded by a customized protective cover made of stainless steel. To record the metal surface during the experiments from this viewpoint inside the otherwise closed vessel, the borescope is connected to the Sony α7III camera.
Fig. 3
Experimental setup at HZDR: (a) Schematic showing the position of the borescope next to the lance and the corresponding field of view, (b) Photograph of the borescope without camera and cooling tubes
Full size image

Numerical Setup

In order to simulate the splashing behavior of the Sn40wt pct Bi alloy as a result of the impinging supersonic argon jet, some simplifications had to be assumed for the CFD model:
  • Since the simulation is, even with massive parallelization, computationally extremely intensive due to the small time step (∆t = 2.0 × 10-5 s) required, only selected cases of the vertical (γ = 90 deg) and inclined (γ = 45 deg) lance equipped with different nozzles (nozzle I with Ma3 = 1.00, nozzle II with Ma3 = 1.85) at H = 50 mm are calculated in an initial step.
  • Compared to the vessel size (D1 = 600 mm, H1 = 600 mm, H2 = 400 mm) of the HZDR test facility, the computational domain is reduced both in diameter and height (D1 = 400 mm, H1 = 200 mm, H2 = 150 mm) in order to save mesh cells (cf. Figures 2, 4, Table I).
  • It is assumed that the region above the liquid metal bath is filled completely with argon and that only argon can flow in via the pressure boundary condition (2) at the top of the computational domain (cf. Figure 4). However, both fluids are allowed to leave this region.
  • The Sn40wt pct Bi alloy is regarded as an incompressible, Newtonian fluid with constant material properties[37] (cf. Table II).
  • Argon is assumed to be compressible (ρ = ρ(p,T)) with constant fluid properties η, cp, λ, and σ; the latter value is the surface tension between Sn40wt pct Bi and argon.
  • There is no heat exchange with the environment, and chemical reactions do not occur.
Fig. 4
Schematic of computational domain with designations of vessel and nozzle II (p0 = 6.790 bar, \({\dot{V}}_{0}\) = 0.254 Nm3/min, Ma3 = 1.85)
Full size image
Table II
Fluid Properties Used for Numerical Simulation
  
Sn40wt pct Bi
Argon
ρ
kg/m3
7912
Ideal gas law
cp
J/(kg K)
795
520.6
λ
W/m2
40
0.0158
η
kg/(m s)
2.374 × 10-3
2.125 × 10−5
σ
N/m
0.456
κ
1.65
T
K
493.15
293.15

Governing Equations

The simulation is based on the Unsteady Reynolds-averaged Navier–Stokes (URANS) equations:
$$\frac{\partial \rho }{{\partial t}} + \frac{{\partial (\rho u_{i} )}}{{\partial x_{i} }} = 0$$
(1)
$$ \frac{{\partial (\rho u_{i} )}}{\partial t} + \frac{{\partial (\rho u_{i} u_{j} )}}{{\partial x_{j} }} = - \frac{\partial p}{{\partial x_{i} }} + \frac{\partial }{{\partial x_{j} }}\left[ {\mu_{eff} \left( {\frac{{\partial u_{i} }}{{\partial x_{j} }} + \frac{{\partial u_{j} }}{{\partial x_{i} }}} \right) - \frac{2}{3}\delta_{ij} \frac{{\partial u_{k} }}{{\partial x_{k} }}} \right] + \rho g_i $$
(2)
$$ \frac{\partial (\rho h)}{{\partial t}} + \frac{{\partial (\rho u_{i} h)}}{{\partial x_{i} }} = \frac{\partial p}{{\partial t}} + \frac{{\partial u_{i} p}}{{\partial x_{i} }} + \frac{\partial }{{\partial x_{i} }}\left( {\lambda \frac{\partial T}{{\partial x_{i} }}} \right) + \rho \dot{q} + \frac{{\partial u_{i} }}{{\partial x_{j} }}\left[ {\mu_{eff} \left( {\frac{{\partial u_{i} }}{{\partial x_{j} }} + \frac{{\partial u_{j} }}{{\partial x_{i} }}} \right) - \frac{2}{3}\delta_{ij} \frac{{\partial u_{k} }}{{\partial x_{k} }}} \right] + u_{i} \rho g_i $$
(3)
In order to model the turbulence, the Transition SST model with standard settings is used. Since all equations are described in detail in,[38] they are not presented here.
The time-dependent motion of the gas–metal interface is calculated using the volume of fluid (VoF) model.[38] This surface tracking approach was developed for immiscible multiphase flows where the location of the interface between the phases is of interest. An additional transport equation for the volume fraction αs of the secondary phase is solved as follows:
$$ \frac{{\partial \alpha_{s} }}{\partial t} + u_{i} \frac{{\partial \alpha_{s} }}{{\partial x_{i} }} = 0 $$
(4)
The volume fraction of the primary phase is αp = 1 - αs. The following applies to the secondary phase:
αs = 0: cell is filled with primary phase, αp = 1 - αs,
αs = 1: cell is filled with secondary phase,
0 ≤ αs ≤ 1: cell shares both phases and the phase interface is located in the cell.
In a multiphase system with n phases, (n−1) equations are required. The coupling between the momentum conservation and the phases depends on the density ρ and the viscosity ν:
$$\begin{array}{c}\rho ={\rho }_{s}{\alpha }_{s}+(1-{\alpha }_{s}) {\rho }_{p}\\ \nu ={\nu }_{s}{\alpha }_{s}+(1-{\alpha }_{s}) {\nu }_{p}\end{array}$$
(5)
Thus, the liquid metal surface is treated as discontinuity of the material data. Since the problem involves a high momentum transfer from the supersonic argon jet into the liquid metal phase, the entire fluid domain is strained with domains of very high and low Re numbers. At the start of the simulation, in particular, this might lead to convergence issues that require manual user input.

Mesh, Boundary Conditions, and Solver Settings

The computational domain is shown in Figure 4 and was meshed with ANSYS ICEM-CFD. It must be noted that the domain excludes the gas supply pipe and the nozzle. The mesh consists of 12.34 million hexahedrons and is locally refined in the regions of the free argon jet as well as directly above and below the liquid metal surface, cf. Figure 5. The smallest hexahedra have an edge length of 0.025 mm, the largest, especially near the vessel wall and in the upper argon domain, an edge length of 2.83 mm. For example, the nozzle outlet surface has been resolved by 100 mesh cells along the nozzle outlet diameter D3. The mesh quality has been checked by the orthogonality criterion. The number of mesh cells represents a good compromise between computing time and spatial resolution of the metal drops formed. The initial phase interface (position (1), cf. Figure 4) between the liquid metal and the gaseous phase is defined as the interior surface.
Fig. 5
Computational domain of ANSYS ICEM-CFD mesh, 12.34 million hexahedrons, global mesh with nozzle II (p0 = 6.790 bar, \({\dot{V}}_{0}\) = 0.254 Nm3/min, Ma3 = 1.85)
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For example, the supersonic nozzle II is operated at its design conditions of \({\dot{V}}_{0}=\) 4.233 × 10-3 Nm3/s, p0 = 6.790 bar, p = 1.01325 bar, and β = 2.5 deg, i.e., over- or under-expansion phenomena such as shock and/or expansion waves do not occur. The gas flow inside the nozzle was not modeled because the outlet conditions (p3 = p, T3, u3, Ma3) can be precisely predicted by the isentropic theory of flow,[35] cf. Table I. Thus, the nozzle provides outlet conditions of u3 = 404.00 m/s, T3 = 138.56 K, and Ma3 = 1.85. The distance H between the nozzle outlet A3 and the liquid metal surface is in all cases, and for the inclined nozzle as well, cf. Figure 1, H = 50 mm.
For the numerical simulation, all further boundary conditions are chosen to meet the experimental setup. The inlet conditions for the mass flow rate \(\dot{m}=\) 7.546 × 10-3 kg/s, the total (stagnation) temperature T0 = T3 = 293.15 K, and the turbulence intensity Tu3 = 5 pct are set at the nozzle outlet (3). At the top of the vessel (2), a pressure boundary condition is used (p = 1.01325 bar, T = 493.15 K, Tu = 5 pct). All walls (4) are set as no-slip boundary conditions with standard settings.
The three-dimensional, transient, compressible, and multiphase flow of argon and Sn40wt pct Bi is computed with the ANSYS FLUENT 2024R2.01 pressure-based solver in double precision mode. For the VoF model, the implicit time-marching method with implicit body force formulation and volume fraction cutoff value of 1 × 10-16 are used. The bounded second-order implicit linearization is used for temporal discretization. Mass, energy, and turbulence equations are spatially discretized by second-order upwind schemes. The momentum equation uses the bounded central differencing scheme, and the volume fraction equation uses the compressive approach for spatial discretization. The pressure–velocity correction is made with the SIMPLEC procedure, and the PRESTO scheme is used for pressure discretization. Default values for all under-relaxation factors were used. The calculations were performed on a HPC cluster with 64 parallel processes. For 1.84 s of real top-blowing process, the computing time was approx. four weeks.
Although the numerical simulation has been carried out for just a few seconds of real process, important conclusions can be drawn. During this period, the cavity and other fluid-dynamic characteristics have almost completely been formed so that the free surface Ac can be derived. In contrast to the experiment, the process parameters (\({\dot{V}}_{0}\), p0, γ, H) can be easily changed, sometimes even without creating a new mesh, but only a numerical value has to be changed. It is expected that the calculation time can be further reduced by higher parallelization using 256 or more nodes and this will enable detailed case studies. However, it is also planned to transfer the validated ANSYS-FLUENT model to the OpenFOAM environment, whereby the computing power is no longer limited by the available licenses but only by the number of nodes. The OpenFOAM model can then be used to simulate industrial plants that are larger than the test facility by a factor of 10. Here, CFD is the only way to observe mixing and splashing phenomena inside the metallurgical reactor. Since the spatial scales of droplets and bubbles are also 10 times larger in the industrial plant than in the Sn40wt pct Bi vessel, the number of mesh cells required will hardly increase compared to the experiment and the calculation times will remain comparable. The consideration of the so far neglected slag phase does not pose a problem for the CFD code, as only one further equation has to be solved in the VoF model.

Results

Experimental Results

This study focuses on a visual observation of the impact of the gas jet on the free bath surface of a liquid metal alloy. The images presented in the following sections impressively demonstrate the effect of the gas jet's momentum on the stability of the liquid metal surface. It is expected that this impact increases with the intensity of the gas jet, which in the experiment was varied by using different nozzles and by adjusting the distance between the nozzle outlet and the liquid metal surface.
The dynamics of various surface effects and the onset and development of certain instabilities can be observed very well in a short time span immediately after the gas jet is switched on. This enables the influences of different parameters to be characterized effectively. In cases where the exposure was particularly intense, the volume above the liquid metal bath is filled with a multitude of drops and fluid fragments, so that the individual configurations are very difficult to distinguish from one another on the basis of single images. Figures 6 and 7 show a series of images for nozzle I (Ma3 = 1.00) and nozzle II (Ma3 = 1.85). The liquid metal surface that the gas jet encounters is initially flat and at rest. The deformation of the surface starts at the point of impact of the jet. There, the fluid is displaced downward and radially to the side, creating surface waves that propagate from the center toward the side wall. A blowing cavity is formed directly below the nozzle, the depth of which is scaled with the intensity of the gas jet. As the intensity of the jet exceeds a certain threshold, the first drops detach from the surface. However, further evolution depends largely on the type of nozzle and the distance from the liquid metal.
Fig. 6
Start-up sequence of the gas-blowing process illustrated by images of the free metal surface acquired at time intervals of ∆t = 0.15 s; experimental setup; nozzle I, p0 = 2.070 bar, \({\dot{V}}_{0}\) = 0.078 Nm3/min, Ma3 = 1.00, γ = 90 deg; (a) to (f) H = 50 mm, (g) to (l) H = 10 mm
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Fig. 7
Start-up sequence of the gas-blowing process illustrated by images of the free metal surface acquired at time intervals of ∆t = 0.15 s; experimental setup; nozzle II, p0 = 6.790 bar, \({\dot{V}}_{0}\) = 0.254 Nm3/min, Ma3 = 1.85, γ = 90 deg; (a) to (f) H = 50 mm, (g) to (l) H = 10 mm
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Figure 6 illustrates the start-up process for nozzle I at a distance of H = 50 mm (two top rows) and H = 10 mm (two bottom rows); the qualitative evaluation is started for the case H = 50 mm. The first images of each series [Figures 6(a), (g)] show the moment 0.15 s after the gas initially contacts the metal surface. Even after such a short time, a depression zone forms with a diameter approximately equal to that of the lance, consisting of a smaller cavity surrounded by an almost circular rim. As time proceeds, the area occupied by deformations initially expands [Figures 6(b), (c)]. The diameter of the directly disturbed zone reaches values of about 50 mm to 60 mm and then appears to remain almost constant and does not increase further [Figures 6(d) through (f)]. However, the degree of deflections has increased and the vertical indentation is greater. Smaller volumes of fluid rise and fall again. From the static images, it is difficult to discern the separation of small drops from the zone around the gas impact zone and their outward radial projection. To gain a better insight, refer to the supplementary material (video 1). A few larger drops are easier to follow because they quickly fall back into the bath at short distance from the point of impact of the gas jet, leaving circular patterns there [cf. Figure 6(e)].
The situation changes significantly when nozzle I is brought to within H = 10 mm of the bath surface, intensifying the effect of the jet. Already with the first gas contact, small amounts of fluid are released from the bath at the point of impact [Figure 6(g)]. A compact fluid film forms around the point of impact and moves upward. Individual fluid ligaments break away from this film and then break up into small drops, which move outward like a series of pearls on a string [Figure 6(h)]. A short time later, the upward movement comes to a standstill, the film ruptures and begins to fall back toward the fluid level [Figure 6(i)]. The moment of impact on the bath surface is seen in Figure 6(j). Since the falling film also moves outward, the deformation zone of the bath surface increases significantly [Figure 6(k)]. A corresponding video of this experiment can be found in the supplementary material (video 2).
For comparison, the same constellation with nozzle II is shown in Figure 7. At the beginning, the formation of the cavity where the distance is H = 50 mm [Figure 7(a)] is even more pronounced than for the nozzle I. The further chronological sequence reveals significant differences compared to nozzle I. Figures 7(b) and (c) clearly show that a multitude of individual drops are released from the bath and catapulted away. Moreover, the formation and detachment of splashes and liquid metal fragments can be seen, which are considerably larger than the individual drops but do not form a continuous film either. In Figures 7(a) through (c), bubbles can also be seen that remain below the liquid metal surface. However, these were not created at that time but are a remnant from the previous experiment. These bubbles have not yet burst because they are stabilized by the oxide film on the surface over a longer period of time. From Figure 7(c) onwards, it can be clearly seen how larger filaments of liquid detach from the bath. When these large number of fragments fall back, a significantly larger area of the bath surface is disturbed [Figure 7(d)]. During the further course, the formation of further fluid fragments occurs quasi-continuously although seemingly randomly. This is accompanied by the appearance of a large number of splashes and drops, which are probably released directly from the surface or result from the further disintegration of the larger fluid filaments [Figures 7(e), (f)], cf. supplementary material (video 3).
As distance H decreases, the effect of the gas jet is further intensified. This can already be seen in Figure 7(g), where, in addition to the appearance of the cavity, the emerging formation of the liquid films and the emission of separated drops are observed. The gas jet introduces considerably more momentum into the surface deformation. The volume of fluid films that are ejected increases significantly. The films quickly disintegrate into individual fragments that reach a comparatively high ejection height before falling back [Figures 7(h) through (k)]. The impact of these large fragments on the liquid metal causes enormous disturbances, deflections of the bath surface, and surface waves [Figure 7(l)]. The attached video provided in the supplementary material (video 4) impressively shows that within a very short time the space above the liquid metal bath is almost completely filled with drops, splashes, and projecting liquid metal films, so that it is almost impossible to capture the individual fluid particles in their entirety, as well as to follow their trajectory and development of the shape. The fact that all these image series were recorded in an extremely short time interval of only 0.15 s underscores the high dynamics of the processes.
In addition to visual access from above through the container lid, the experimental setup offers the option of observing the process from the side using a borescope. Figure 8 illustrates the disintegration of the metal surface when exposed to nozzle I. The four individual images compare different distances between the nozzle and the bath level. The images were taken at least 30 s after the gas jet was switched on, i.e., when the blowing process was already in a quasi-stationary state and no longer within the start-up phase as in Figures 6 and 7. At a distance of H = 150 mm, it can be seen that only a few small drops form. The cavity and concentric wave fronts can be distinguished; however, the disturbed zone remains limited to a specific area [Figure 8(a)]. If nozzle I is brought 50 mm closer to the bath surface (H = 100 mm), the liquid metal surface appears much more agitated, and significantly, more drops are ejected from the surface. On the surface, there are indications of smaller fluid films, but these do not detach from the bath. Here, too, only a limited area of the free surface is affected by the perturbations [Figure 8(b)]. As the distance decreases further [Figure 8(c) H = 50 mm, Figure 8(d) H = 10 mm], the number of drops and splashes, the size of the liquid metal films, and the height that the diverse fluid fragments can reach above the bath surface continue to increase. The videos for all the experiments shown in Figure 8 can be found in the supplementary material (videos 5–8).
Fig. 8
Snapshots of the space above free metal surface captured with the borescope (cf. Fig. 3); experimental setup; nozzle I, p0 = 2.070 bar, \({\dot{V}}_{0}\) = 0.078 Nm3/min, Ma3 = 1.00, γ = 90 deg, bath level H1 = 600 mm; (a) H = 150 mm, (b) H = 100 mm, (c) H = 50 mm, (d) H = 10 mm
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The corresponding endoscopic images for nozzle II are presented in Figure 9. It is immediately obvious that this case differs significantly from the situation with nozzle I. Even at a large distance of H = 150 mm, the space above the bath level consists of a large number of drops and splashes [Figure 9(a)]. Furthermore, the liquid metal surface is severely disturbed over a larger area; in particular, drop impacts can be detected at greater distances from the point of impact of the gas jet. Within the disturbance zone, intensive billowing can be observed with the formation of smaller fluid films, which, however, do not rise too far above the bath level. With H = 100 mm, the energy of the gas jet is sufficient to eject larger liquid metal films that move away from the point of impact in a funnel shape [Figure 9(b)]. The acceleration is obviously so strong that these films do not remain stable and coherent for a long time, but rather quickly disintegrate into small splashes and drops that are propelled quite a distance. This also clearly shows the area affected by the disturbance, which now takes up the majority of the entire bath surface. This tendency continues if the distance is reduced to H = 50 mm [Figure 9(c)]. The liquid metal films increase in size, their shape is complex and heavily frayed, and splashes and drops at the edges are generated constantly. When nozzle II is situated directly on the bath surface at a distance of H = 10 mm, large liquid metal films are catapulted out of the metal bath [Figure 9(d)]. The energy is sufficient for these bulky and heavy fragments to reach a considerable height, so that the region where the metal films split into splashes and drops is outside the field of view of the borescope. As for nozzle I in Figure 8, the corresponding videos can be found in the supplementary material (videos 9 - 12). The videos also reveal the occurrence of large-scale metal bath movements in the form of dynamic surface waves or sloshing of the liquid metal. In the case of small nozzle distances of 10 mm < H < 50 mm, in particular, it can be seen that the re-entry of the large liquid metal fragments into the bath not only leads to the production of further splashes but also triggers and amplifies sloshing motions due to their considerable mass.
Fig. 9
Snapshots of the space above free metal surface captured with the borescope (cf. Fig. 3); experimental setup; nozzle II, p0 = 6.790 bar, \({\dot{V}}_{0}\) = 0.254 Nm3/min, Ma3 = 1.85, γ = 90 deg, bath level H1 = 600 mm; (a) H = 150 mm, (b) H = 100 mm, (c) H = 50 mm, (d) H = 10 mm.
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The images presented so far confirm the impression that the bath level and ejected drops and larger fluid fragments above are highly dynamic and extremely volatile, especially when hitting the high-intensity gas jet. Figure 10 contains a time series of six images acquired in succession with a time step of ∆t = 0.02 s for nozzle II located at a distance of H = 50 mm, cf. supplementary material (video 3). When focusing on the central area around the point of impact of the gas jet, similar structures can be seen across the series of images, which nevertheless show a considerable rate of change in this short period of time. The structures appearing on a larger radius, on the other hand, seem to be somewhat more stable, since they are not directly within the zone dominated by the gas jet. In Figure 10, an example of a structure is marked by a red circle, which apparently represents a smaller fluid film that protrudes slightly from the bath; this flow pattern is shown in all the images. In the last image [Figure 10(f)] this fluid film mergers with another similar structure. It is interesting to note that this fluid ligament apparently moves along an azimuthal path, which suggests a rotating bath motion. This phenomenon could be deceptive, however, as it is not evident from the images how closely this structure is connected to the surface of the bath. A closer inspection of more frames of this sequence over a longer timespan reveals that this structure originally forms in a neighboring zone closer to the lance, at a moment when the gas jet is ejecting a larger fluid ligament from the bath. From the two-dimensional images, it is not possible to clarify whether this is a detached part of the fluid ligament or a surface wave created by falling splashes. Only the latter would allow a conclusion to be drawn about the bath motion. Since we did not perform parallel flow measurements in the present study, this cannot be conclusively verified here.
Fig. 10
Snapshots of the space above free metal surface; experimental setup; nozzle II, p0 = 6.790 bar, \({\dot{V}}_{0}\) = 0.254 Nm3/min, Ma3 = 1.85, γ = 90 deg, H = 50 mm; time series of images recorded at ∆t = 0.02 s; supplementary material (video 3)
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Numerical Results

A supersonic gas jet affected by splashing drops behaves differently from a classic supersonic jet that enters an undisturbed and gaseous environment under regular conditions. The classic jet shows a core region with a length of about 5 times the nozzle outlet diameter D3, where pressure p, velocity u, temperature T, and density ρ are nearly constant and then decrease further downstream; the overall length of the supersonic region is approx. 10 – 20 × D3. Such a jet has a small cross-sectional area and remains undisturbed over a relatively long distance. In the present case, the situation is somewhat different, as the splashing metal drops significantly disturb the expansion of the jet and vice versa. Drops of different size, form, velocity, and momentum are ejected out of the cavity and upward into the gaseous region and clearly change the spread of the jet. As a result, the jet oscillates significantly in all directions, i.e., back and forth. Both the jet’s core region and the supersonic region are significantly shorter, i.e., the jet quickly loses velocity and momentum.
As an example, Figure 11 shows instantaneous results for the sonic nozzle I (Ma3 = 1.00, γ = 90 deg) and supersonic nozzle II (Ma3 = 1.85, γ = 90 and 45 deg) at different angles and how this arrangement generally affects the splashing of metal drops. The gas–metal interface, i.e., the surface of the liquid metal bath and all drops, is again represented by the volume fraction α = 0.5.
Fig. 11
CFD simulation; (a) Nozzle I, p0 = 2.070 bar, \({\dot{V}}_{0}\) = 0.078 Nm3/min, Ma3 = 1.00, H = 50 mm, γ = 90 deg; (b) Nozzle II, p0 = 6.790 bar, \({\dot{V}}_{0}\) = 0.254 Nm3/min, Ma3 = 1.85, H = 50 mm (axial), γ = 90 deg; (c) Nozzle II, p0 = 6.790 bar, \({\dot{V}}_{0}\) = 0.254 Nm3/min, Ma3 = 1.85, H = 50 mm, γ = 45 deg; gray surface: iso-surface with volume fraction α = 0.5; colored surface: sectional plane through iso-volume (20 m/s < u < 420 m/s) colored by velocity (logarithmic scale)
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With nozzles I, II acting in the vertical direction [Figures 11(a), (b)], a wide range of drops is pulled out from the annular edge of the blowing cavity and splashes upward toward the lance tip, which can increase the risk of a nozzle blockage or damage. Thus, the high transient jet is considerably disturbed and deflected, hits another region of the turbulent cavity domain, and pulls out more drops there, which again move upward toward the lance tip. At every time unit, a large number of drops is always present in the jet region so that the propagation of the jet is disturbed.
If the supersonic jet hits the metal surface at an angle of γ = 45 deg and with the same axial distance H = 50 mm between nozzle outlet and metal bath surface [cf. Figure 11(c)], the cavity becomes elliptical, the diameter increases, the depth decreases, and the drops splash against the sidewall of the vessel. However, in this case, the jet spreads more freely and shows an increased supersonic jet length. The depth Hc of the blowing cavity [cf. Figure 11(b)] can be specified if the vertical distance between the deepest location of the cavity and the mean metal level is averaged over the simulated process time; the same applies for the diameter Dc of the cavity, and the results are shown in Table III.
Table III
Diameter Dc of Cavity, Depth Hc of Cavity, and Effective Gas-Metal Surface Ac (Melt Bath Level Plus Drop Surface); All Values are Time-Averaged Over Simulated Process Time
 
Dc (mm)
Hc (mm)
Ac (m2)
Video
Liquid metal surface at rest
N.A.
N.A.
0.126
 
Nozzle I, Ma3 = 1.00, H = 50 mm, γ = 90 deg
40
50
0.144
Nozzle II, Ma3 = 1.85, H = 50 mm, γ = 90 deg
70
80
0.201
13, 14
Nozzle II, Ma3 = 1.85, H = 50 mm, γ = 45 deg
110
60
0.191
15, 16
Figure 12 shows exemplary results for nozzle II, which is vertically aligned at a distance of H = 50 mm above the metal surface at rest. The jet is characterized by a red colored iso-volume containing a velocity range of 100 m/s < u < 400 m/s. It should be noted again that nozzle II was designed for p0 = 6.790 bar, \({\dot{V}}_{0}\) = 4.233 × 10-3 Nm3/s, p = 1.01325 bar, and β = 2.5 deg; these input data result in theoretical nozzle outlet values of u3 = 404.00 m/s, Ma3 = 1.85, and T3 = 138.56 K. However, the CFD results are somewhat lower. For the blowing period of 0 s < t < 1.84 s, time-averaged values of u3 = 389.6 m/s, Ma3 = 1.620, and T3 = 149.7 K result at the outlet. Directly below the nozzle, the jet expands slightly, so that local gas velocities higher than 400 m/s occur in the jet core region.
Fig. 12
CFD simulation, nozzle II, p0 = 6.790 bar, \({\dot{V}}_{0}\) = 0.254 Nm3/min, Ma3 = 1.85, H = 50 mm, γ = 90 deg, time between images: ∆t = 0.012 s
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If two monitoring points are considered on the vertical y-axis, the first point at the level of the free metal surface (y = 0), and the second point 5 mm below the nozzle outlet (y = 45 mm), the time-averaged velocity, and the fluctuation velocity are \(\overline{u }\)(y = 0) = 102.8 m/s and \({u}_{rms}^{\prime}\) (y = 0) = 55.9 m/s or \(\overline{u }\) (y = 45 mm) = 391.5 m/s and \({u}_{rms}^{\prime}\) (y = 45 mm) = 7.2 m/s. Figuratively speaking, the jet contains flow regimes with extreme fluctuations that hit the metal surface and create a very unstable, oscillating cavity.
For the numerical simulation, nozzle II can be subjected to the maximum flow rate of \(\dot{m}\) = 7.546 × 10-3 kg/s right at the start (t = 0) of the calculation, if an initial step of ∆t = 1 × 10-6 s is chosen. During the initial blowing period (0 s < t < 0.5 s) of gas onto the liquid metal, the deepest cavity is formed with a mean penetration depth of Hc ≈ 100 mm. In the further course of blowing (0.5 s < t < 1.84 s), a mean penetration depth of Hc ≈ 80 mm and a mean diameter of Dc ≈ 70 mm are achieved (cf. Table III), i.e., the quasi-steady-state cavity is approximately as deep as it is wide. Drops and ligaments are torn from the edge of the cavity via shear forces and splash toward the lance tip. The mean velocity of the liquid metal surface at the edge of the cavity is about 4 m/s. Due to the highly stochastic behavior of the surface, new drops and cavities are constantly forming, i.e., the entire region below the nozzle is extremely chaotic. However, this is advantageous for the TBRC process because it allows the metal bath to be mixed very well and to react chemically in all zones.
In this study, the smallest length scale that can be resolved is limited by the size of the smallest mesh cell (0.025 mm). It can be seen that the smallest resolvable drops have a diameter of D ≈ 1 mm, and the largest drops D ≈ 10 mm or greater. The drops are transported with high momentum to the upper boundary of the computational domain, i.e., they cross a vertical distance of 150 mm and leave the top of the vessel via the local pressure boundary condition. However, the HZDR experiments show many more tiny drops with diameters well below 1 mm that are generated and splash against the vessel lid; these drops cannot be resolved by the CFD mesh.
Starting from the cavity, ring-shaped surface waves run radially outward from the center of the vessel to the wall, are reflected, and hit the front of the next incoming wave. As a result, the metal surface moves evenly upward and downward with a frequency of f ≈ 0.4 Hz; this frequency can also be seen in the experimental data in a first approximation.
An important metallurgical variable is the overall size of the gas–metal interface (the sum of the free surface and the surface of all drops formed) since most chemical reactions take place here; in the following, this surface is referred to as Ac. If the volume fraction α = 0.5 is used as a basis, the surface Ac of the initially smooth metal level increases from Ac = 0.126 m2 to a time-averaged (0.5 s < t < 1.84 s) surface of Ac = 0.201 m2 which corresponds to a 60 pct increase, cf. Table III. However, the real surface is somewhat larger due to the unresolved drops and limited resolution of the fractal surface. To gain an impression of the transient phenomena simulated for nozzle II (p0 = 6.790 bar, \({\dot{V}}_{0}\) = 0.254 Nm3/min, Ma3 = 1.85, H = 50 mm, γ = 90 deg), cf. the supplementary material (videos 13,14).
As an example, Fig. 13 shows the vertical nozzle I (Ma3 = 1.00, γ = 90 deg) and inclined nozzle II (Ma3 = 1.85, γ = 45 deg) both located at a distance of 50 mm above the liquid metal surface. In the case of sonic blowing [Figures 13(a), (b)], there is much less splashing, and the effective free metal surface Ac is far smaller compared to the supersonic situation, cf. Table III. The qualitative agreement with the HZDR experiment [cf. Figure 8(c)] is good, although the metal drops in the experiment tend to splash somewhat higher into the surrounding area.
Fig. 13
CFD simulation; (a), (b) nozzle I, p0 = 2.070 bar, \({\dot{V}}_{0}\) = 0.078 Nm3/min, Ma3 = 1.00, H = 50 mm, γ = 90 deg; (c), (d) Nozzle II, p0 = 6.790 bar, \({\dot{V}}_{0}\) = 0.254 Nm3/min, Ma3 = 1.85, H = 50 mm (axial), γ = 45 deg; time between images ∆t = 0.012 s
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In the case of angled blowing with supersonic nozzle II [Figures 13(c), (d)], the metal drops are ejected toward the tank wall and increase the risk of metal-slag building-up there. In general, far fewer drops enter the actual gas jet, which therefore oscillates significantly less while showing high velocities at the same time. The blowing cavity becomes oval and is less deep than with vertical blowing, cf. Table III. From a qualitative point of view, the number of drops formed is lower than with the vertically aligned nozzle II, and the drops are larger and form individual ligaments. The effective surface induced by the inclined nozzle II is Ac = 0.191 m2 and is therefore comparable to that of vertical blowing; compared to the static metal bath, this corresponds to an increase of 51 pct., cf. Table III and supplementary material (videos 15,16).
Figure 14 shows a comparison between the numerical (a) through (e) and the experimental (f) through (j) results during vertical blowing with supersonic nozzle II. The boundary conditions of the experiment and the numerical simulation are largely identical, so that a direct, albeit qualitative comparison is possible. However, it must be borne in mind that the computational domain (D1 = 400, H1 = 200 mm) for the numerical case for limiting the number of mesh cells is smaller than the one in the experiment (D1 = 600, H1 = 600 mm). It should also be noted that the image section of the numerical case [cf. Figures 14(a) through (e)] is slightly larger than in the experiment [Figures 14(f) through (j)]. Nevertheless, in terms of surface movement and drop formation, both methods show good qualitative agreement, which is particularly clear when evaluating the individual video sequences in the supplementary material, cf. videos 13, 14.
Fig. 14
CFD simulation (a) to (e) vs. experiment (f) to (j), nozzle II, p0 = 6.790 bar, \({\dot{V}}_{0}\) = 0.254 Nm3/min, Ma3 = 1.85, H = 50 mm, γ = 90 deg, ∆t = 0.04 s for all sequences; cf. supplementary material (videos 3, 13,14)
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The results presented in Table III and the graphical representations in Figures 11, 12, 13, and 14, in relation to the physical observations from the experiments, suggest the following:
CFD simulations have proven to be a reliable tool for predicting the surface area at the gas–metal interface. This is particularly important for enhancing the diffusion of volatile compounds from liquid phases—especially slag—into the gas phase. As a result, the flue dust formed can be collected for further processing and material recovery.
Additionally, liquid splashing increases the momentum and energy transfer, thereby improving energy control. It also intensifies the interaction between the liquid metal and the refractory lining, which can lead to increased refractory wear.
The improved understanding of mixing behavior provides valuable insights for furnace design, particular with regard to interfacial reactions and related metallurgical phenomena.

Summary

The injection of process gas into liquid metal using supersonic jets is state of the art in top-blowing and in top-submerged lancing technology. To optimize these processes and expand their industrial applications (BOF, AOD, TBRC process), it is important to understand the hydrodynamic gas-metal flow phenomena. However, it is almost impossible to examine these effects while production is underway, e.g., due to the severe process conditions with extremely high temperatures, due to safety-related aspects or because suitable measuring technology is simply not available. Therefore, in this study, model experiments are conducted at low temperatures by blowing a high velocity gas jet from above onto the surface of the liquid Sn40wt pct Bi alloy to analyze the interface between the gas and liquid phases. Determining the actual interfaces for the transfer of mass, momentum and energy could help to improve the top-blowing efficiency.
The optical visualization in the experiments effectively illustrates the complexity and dynamics of the blowing process. Observations can be maintained for several minutes until the inspection windows become obscured by adhering metal drops and splashes, which limits the field of view. This duration is sufficient to identify essential characteristics influenced by certain parameters, i.e., primarily nozzle type (nozzle I with Ma = 1.00, nozzle II with Ma = 1.85), distance (10 mm < H < 150 mm), and alignment (γ = 90 deg (perpendicular), γ = 45 deg) relative to the metal bath surface. However, quantitative evaluation is challenging, especially with higher gas jet momentum, due to the large number of ejected fragments that obscure the view. A multi-camera setup could potentially enable better analyses, though the current setup provides valuable qualitative insights for validating numerical simulations.
Against the background of the general picture formulated above, this paper is an innovative first step toward classifying essential features of the behavior of the free surface of a liquid metal bath under the influence of an impinging gas jet. The following findings were made:
  • Using qualitative video analysis in a unique test setup for liquid metal, important trends regarding stability, deflection, and fragmentation of the bath surface can be identified as a function of relevant process parameters.
  • The experiments show that surface waves propagate radially from the impact point. With increasing intensity of the momentum input, a threshold value can be determined, above which the first drops separate from the liquid metal. The drops are initially tiny, but usually they already move at very high speed. Larger splashes and fluid films are observed at higher intensities, inducing a sloshing behavior of the metal bath.
  • The experimental observations can be maintained for several minutes before the glass of the inspection windows in front of the cameras becomes so obscured with adhering drops and splashes that large portions of the field of view go dark. These time intervals are sufficiently long to recognize and distinguish the development of essential characteristics under the influence of various process parameters, i.e., primarily the nozzle type, distance, and alignment to the relative bath surface.
  • Obviously, the processes below the metal bath level cannot be examined with this experiment. However, in some of the videos, it can be seen that individual gas bubbles apparently detach from the cavity and temporarily enter the interior of the fluid volume before they reappear at the surface at a certain distance from the point of gas impact.
  • A powerful CFD model for liquid metal two-phase flows has been successfully developed, the results of which are a good match with the experimental observations.
  • For both the sonic and the supersonic nozzle, vertical blowing always transports liquid metal drops directly into the jet region, destabilizes the gas jet, and reduces the jet velocity, thus dissipating the jet’s momentum; the cavity becomes more stochastic, chaotic, turbulent, unstable, and oscillating. In turn, this general behavior also induces a highly stochastic blowing cavity. The fluctuations of the jet can also contribute to the sloshing of the bath, although the impact of the submerging ligaments is expected to be more significant due to their mass.
  • With vertical blowing, especially with small distances between the nozzle and metal bath level, the metal drops splash directly against the lance tip, and this phenomenon increases the risk of nozzle damage and blockages.
  • Vertical blowing penetrates deeper into the metal bath, which is useful for BOF or AOD operations due to the more intensive mixing and, for example, decarburization of the liquid metal domain, while angled blowing induces shallower cavity.
  • As with the TBRC converters, angled blowing appears to create a more stable blowing situation while minimizing the momentum loss of the jet; the cavity becomes oval, the diameter of the cavity increases, and the depth of the cavity decreases compared to vertical blowing.
  • Angled blowing leads to considerable splashes on the tank wall and thus to a potential accumulation of liquid metal and slag on the tank wall. A smaller number of drops is produced, but the drops are larger and form individual ligaments.
  • Compared to vertical blowing, angled blowing results in a slight reduction in the effective interfacial area, which becomes relevant for chemical processes.
Significant challenges for quantitative characterization arise from the complexity of the process. The high momentum input by the gas jet and its transient nature induces a dynamic and vigorous fragmentation of the liquid metal surface. In many experiments, the space above the free bath level is widely filled with a variety of fluid filaments, starting with drops of various sizes, larger splashes, and ligaments in different and rapidly changing shapes. This makes the field of view extremely limited since the liquid metal ligaments obscure each other. The gas–liquid interface, which is a central process variable, is highly segmented and subject to permanent and drastic changes. Tracking the high-speed drops requires high spatial and temporal resolution. Numerical simulations that claim to fully resolve these phenomena require computing times of several weeks to reproduce just a few seconds of the process, making such calculations quite costly.

Conclusions and outlook

The results summarized in the previous chapter lead us to the following conclusions:
  • The fragmentation of the free surface of the liquid metal bath by the supersonic gas jet reveals a largely stochastic, turbulent character.
  • Such a flow behavior effectively promotes mixing processes and chemical reactions at the gas–metal interface and is therefore beneficial for achieving high efficiency levels in industrial processes.
  • The enormous temporal dynamics and the complicated structures of the fluid flow elements make detailed quantitative analyses challenging.
  • This complexity requires an expansion of resources for quantitative data analysis to enable us to provide data with high spatial and temporal resolution for the validation of numerical models. This may involve upgrading optical methods or expanding measurement capabilities to include X-ray radiography and X-ray tomography.
As the next step in the continuation of this study, the authors are considering an extension of the experimental and numerical setup. In the focus is an improvement of the optical equipment to capture and classify the fluid ligaments that are released from the liquid metal domain by the impinging gas jet. The focus of the work in progress is also on the development and adaptation of powerful evaluation algorithms to obtain measurement data for a more quantitative comparison with the numerical simulations. In addition, a new test setup will include the configuration of inclined lances for TBRC. These investigations will help to optimize the lance design in the converter. In addition, suitable model fluids will be used in future experiments to cover the free liquid metal surface and thus simulate the presence of a slag layer. This represents another major step toward realistic modeling of metallurgical processes.

Competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Title
Physical and Numerical Simulation of Supersonic Gas Jets Blown onto a Liquid Sn40Wt Pct Bi Alloy Surface
Authors
B. Willers
T. Wondrak
K. Timmel
S. Eckert
F. Diaz
M. Kalisch
M. A. Reuter
H.-J. Odenthal
Publication date
10-10-2025
Publisher
Springer US
Published in
Metallurgical and Materials Transactions B / Issue 6/2025
Print ISSN: 1073-5615
Electronic ISSN: 1543-1916
DOI
https://doi.org/10.1007/s11663-025-03767-6

Supplementary Information

Below is the link to the electronic supplementary material.
Supplementary file1 (MP4 83445 kb)
Supplementary file2 (MP4 92542 kb)
Supplementary file3 (MP4 95890 kb)
Supplementary file4 (MP4 93862 kb)
Supplementary file5 (MP4 26233 kb)
Supplementary file6 (MP4 28047 kb)
Supplementary file7 (MP4 32075 kb)
Supplementary file8 (MP4 32019 kb)
Supplementary file9 (MP4 37573 kb)
Supplementary file10 (MP4 38852 kb)
Supplementary file11 (MP4 34091 kb)
Supplementary file12 (MP4 36527 kb)
Supplementary file13 (MP4 57247 kb)
Supplementary file14 (MP4 59826 kb)
Supplementary file15 (MP4 33114 kb)
Supplementary file16 (MP4 37609 kb)
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