Flow Optimization in Multi-Strand Billet Caster Tundish...
Transcript of Flow Optimization in Multi-Strand Billet Caster Tundish...
Flow Optimization in Multi-Strand Billet Caster Tundish using
Computational Fluid Dynamics
Antariksh Gupta, Rajeev Kumar Singh, Nirmal Pradhan
Research and Development Center for Iron and Steel, SAIL, Ranchi, India
E-mail: [email protected], [email protected], [email protected]
Tundish is the last metallurgical reactor whose aim is to provide stable feed of liquid metal
for casting with good and thermal homogeneity. Aim of this work was to develop a
mathematical model to optimize the tundish geometry for improving chemical and thermal
homogeneity using computational fluid dynamics. The velocity vector fields and the flow
characteristics for the tundishwith different positions of flow modification device “dam” are
mathematically simulated. Options for different positions of dam are available in a billet
caster tundish due to large number of strands being operated from same tundish. The 3D
model, meshing and fluid flow simulation is carried out using Design Modeler, Meshing and
Fluent respectively from ANSYS 17.0 package. The tundish designed is of 4.954 m3 capacity
for IISCO Steel Plant (ISP), Steel Authority of India, Ltd. The results from the velocity
vector fields and the flow pattern for different position of dam are utilized to study ways for
prevention of flow short circuiting and temperature homogenization across the tundish at
different strand outlets.
INTRODUCTION
With increasing demands of quality steel products, the importance of continuous casting of
steel as manufacturing step is increasing exponentially. Unlike past, in latent yearstundishis
being viewed as continuous metallurgical reactor instead of a buffer or a simple distribution
vessel [1]. Tundish metallurgy is now widely researched domain andunder tundish
metallurgy, a modern day steel making tundish is designed to provide maximum opportunity
for carrying out various metallurgical operations such as inclusion separation, inclusion
floatation, alloy trimming of steel, and thermal and chemical homogenization.Optimizing
ABSTRACT
the efficiency of these processes involves close control of flow characteristics of molten
steel inside the tundish. If the flow is not properly controlled it might have negative effects
on quality of steel i.e. quality may even deteriorate from the quality of incoming steel
ladle.Heat and mass transfer governs majority of metallurgical operations, consequently, the
nature of the fluid flow (viz., spatial velocity distribution, turbulent kinetic energy etc.)
influences tundish performance considerably.
Generally, two research methods, physical modelling and mathematical simulation [2–5],
are used for the tundish configurations optimization and flow control devices, such as weirs,
dams, baffles with inclined holes, and turbulence inhibitors (TI), have been widely used to
increase residence times, plug and mixed flow volume of liquid steel [6–8].
Since detailed knowledge of the molten steel flow is a prerequisite to any effective flow-
control optimization, significant efforts have been made by researchers to investigate fluid
flow phenomena in tundish systems. Estimation of the various residence time distribution
(RTD) parameters via the pulse tracer addition technique has been widely used to study the
fluid flow patterns in tundish system [9–11]. In such studies, a tracer is injected through the
incoming stream and its concentration at the exit is recorded as a function of time. The plot
of the exit concentration against time is known as the RTD curve. The RTD of the fluid in a
tundish is analyzed to characterize the flow which, normally, includes the determination of
the extent of mixing (plug and mixed volumes) and the dead volume in the tundish. And it
has been generally considered that the mathematical model is able to simulate RTD
phenomena realistically [12–14].
In the present work, fluid flow in a 35 T billet caster tundish having six strands with
different positions of dam is investigated by mathematical models. In each case of study,
flow characteristics, velocity patterns and RTD curves are obtained. The objective of this
work is to study the effects of the flow control devices on the fluid flow pattern and RTD
curves in present tundish of billet caster.
PHYSICAL DESCRIPTION OF PROBLEM
The modelled geometry of six strand billet caster along with pouring shroud and outlet
nozzlesprepared using ANSYS Design Modeller 17.0 is as shown in Fig.1(a) and 1(b)
Fig: 1(a)
Fig: 1(b)
Metal height in the tundish during operation is around 750 mm equivalent to operational
steel volume of about 4.954 m3. Fluid inlet to tundish is by a 110 mm diameter shroud.
During operation shroud is immersed in liquid steel upto a depth of around 385 mm. Six
outlets (one per strand) are present in tundish as shown in Fig. 1a & 1b. Outlet nozzles
attached to tundish outlets are designed such as to converge the outgoing flow to cylindrical
shaped outlet ports each of length 150 mm. Flow modelling is carried along with these
nozzles to minimize the disturbing effect of sudden expansion on the flow inside tundish.
Top view showing position of inlet shroud and tundish outlet ports in half tundish (owing to
symmetrical shape) is as in Fig.2 below
Outlet Nozzles
Ladle to Tundish Shroud
Tundish
* All dimensions are in mm
Fig 2.0: Schematic of half Tundish top view
Mathematical Formulation
The flow field in the tundish is computed by solving the mass and momentum conservation
equations in a boundary fitted coordinate system along with a set of realistic boundary
conditions. The species continuity equation is solved in a temporal manner to capture the
local variation of the concentration of the tracer in the tundish. The free surface of the liquid
in the tundish was considered to be flat and the slag depth was considered to be
insignificant. With these two assumptions the flow field was solved with the help of the
following equations with a built in k–ε turbulence model because the flow field is normally
turbulent in the tundish.
Governing Equations:
Continuity Equation
𝜕
𝜕𝑥𝑖 𝜌𝑈𝑖 = 0 ..................(1)
Momentum
𝐷(𝜌𝑈𝑖)
𝐷𝑡= −
𝜕𝑝
𝜕𝑥𝑖+
𝜕
𝜕𝑥𝑗 𝜇
𝜕𝑈𝑖
𝜕𝑥𝑗+
𝜕𝑈𝑗
𝜕𝑥𝑖 − 𝜌𝑢𝑖𝑢𝑗 ..................(2)
Turbulent Kinetic Energy
𝐷(𝜌𝑘 )
𝐷𝑡= 𝐷𝑘 + 𝜌𝑃 − 𝜌𝜖 .......................(3)
Rate of dissipation of k
𝐷(𝜌휀 )
𝐷𝑡= 𝐷휀 + 𝐶1𝜌𝑃
휀
𝑘− 𝐶2
𝜌휀2
𝑘 ......................(4)
Concentration
𝜕
𝜕𝑡 𝜌𝐶 +
𝜕
𝜕𝑥𝑖 𝜌𝑢𝑖𝐶 =
𝜕
𝜕𝑥𝑖
𝜇
𝜎𝑐
𝜕𝐶
𝜕𝑥𝑖 ......................(5)
Where,
𝑢𝑖𝑢𝑗 =2
3𝑘𝛿𝑖𝑗 − 𝑣𝑡
𝜕𝑈𝑖
𝜕𝑥𝑗+
𝜕𝑈𝑗
𝜕𝑥𝑖
𝑣𝑡 = 0.09𝑘2
휀
𝐷∅ =𝜕
𝜕𝑥𝑗 𝜇 +
𝜇𝑡
𝜎∅
𝜕∅
𝜕𝑥𝑗
𝑃 = −𝑢𝑖𝑢𝑗 𝜕𝑈𝑖
𝜕𝑥𝑗
Constants: C1=1.44, C2=1.92, σc=1.0, σk=1.0, σε=1.3
Computation of Active and Dead Volume
The procedure adopted for computation of these tundish parameters are adopted from
previous works discussed by Sahai and Emi[15]. The simplest type of a combined model
and the one most frequently used for the flow characterization in tundishes assumes that the
following three kinds of flow regions are present in the total volume of the fluid in a
tundish.
Plug flow region,
Mixed region, and
Dead Region
Any combination of the plug flow and well-mixed flow volumes maybe termed as an active
volume. The residence time distribution curve is shown in Fig. 3. As shownin this figure,
the minimum residence time (Ɵmin) corresponds to the plug volume fraction (Vp/V), and
maximum concentration (Cmax) is equal to the inverse of the well mixed volume
fraction(V/Vm). WhereVp,Vm, and Vare the plug, mixed, and total volumes, respectively.
For the simplicity of discussion, the dead volume may be divided into two types. In the first
type, the liquid in the dead region is considered to be completely stagnant such that the
incoming fluid does not even enter this region. In the second type, the fluid in this region
move very slowly, and as a result some fluid stays much longer in the vessel. In fact, the
fluid in the dead region continually exchanges with the fluid in the active region. Thus, the
fluid which stays in the vessel for a period longer than two times the mean residence time is
considered as the dead volume. The dead volume in most of the normally operating
tundishes falls in the second type, and is characterized by a long tail extending beyond the
two times the mean residence time.
The average residence time of the fluid for any given tundish at a constant volumetric flow
rate remains constant. Thus, the slower moving fluid or dead volume stays longer in the
tundish at the expense of other fluid. In other words, if some fluid assumes much longer
residence time in the tundish, an equivalent amount of other fluid has, accordingly, a shorter
residence time in the tundish. This faster moving melt may not spend sufficient time to
separate and float out the non-metallic inclusions. Also, molten metal in the dead (slow
moving) regions may lose sufficient heat, and may start to solidify metal. Thus, tundishes
are designed to have dead volume as small as possible.
Consider a combined model consisting of an active (plug flow and well-mixed flow) and a
dead region. Let the total volumetric flow rate through the system be Q which is also
divided in Qa through the active region and Qd through the dead region. For completely
stagnant dead volume Qd will be zero and Q will be equal to Qa.
For a dead region with slowly movingfluid, a typicalexperimentally obtained RTDis
shownin Fig. 3. ARTDcurve corresponding to a pulse input is knownas theC-curve. Let the
dimensionless meantime of the C-curveupto the cut-off point of dimensionless time,
Ɵ=2beӪc,then
Ӫc=𝑚𝑒𝑎𝑠𝑢𝑟𝑒𝑚𝑒𝑎𝑛𝑡𝑖𝑚𝑒𝑢𝑝𝑡𝑜𝜃 =2
𝑚𝑒𝑎𝑛𝑟𝑒𝑠𝑖𝑑𝑒𝑛𝑐𝑒𝑡𝑖𝑚𝑒 .......................(6)
Fig 3.0: Typical Residence Time Distribution (RTD) curve for flow in tundish
Ӫc=𝑉𝑎 𝑄𝑎
𝑉 𝑄 =
𝑉𝑎
𝑉×
𝑄
𝑄𝑎 ...................(7)
𝑉𝑎
𝑉=
𝑄𝑎
𝑄× Ӫc ...................(8)
Thus, the dead volume fraction
𝑉𝑑
𝑉= 1 −
𝑄𝑎
𝑄× Ӫc ....................(9)
The term Qa/Q is the area under the C-curve from Ɵ=0 to 2, and represents the fractional
volumetric flow rate through the active region. With the presence of dead region(s), the
measured average dimensionless residence time, Ӫc< 1
If the dead region is completely stagnant so that the flowing fluid does not enter or leave the
region, the volume of the system through which the fluid flows in the system is effectively
reduced to Va. Thus, the deadvolumefraction will be
𝑉𝑑
𝑉= 1 − Ӫc ..................(10)
The dead volume fraction with stagnant volume is given by Eq. (10), which is a special case
of Eq. (8). The dead volume with the slowly moving fluid is given by Eq. (9).
Boundary Conditions and Solution Methodology
Boundary conditions can be well visualized with referenceto Fig. 1a& 1b. The walls areset
to a no slip condition. At the inlet the velocity ofthe incoming jet was set to a prescribed
value of 0.521 m/s(2.079 ton/min of liquid steel) with a turbulent intensity of5 % and
hydraulic diameter equivalent to diameter of inlet shroud i.e. 0.11 m. The top surface of the
tundish is taken to be a freesurface where zero shear stress condition is applied accordingto
references. The bottom of the tundish istreated as a wall where no slip conditions are used
for thevelocity. At the outlets a pressure outlet boundary condition is applied.At the outlet
and at the free surfacealso zero gradient conditions for the tracer is used. Atthe inlet the
concentration of the tracer is kept to one (1) till five secondsafter which the concentration is
changed to zero (0). Fiveseconds is normally very small compared to the mean
residencetime of the tundish so the influx of the tracer during itstravel is not likely to change
the local velocity field becausethe mass influx of the tracer is also very small.
Solution of the model has been carried out using meshing and fluent components of ANSYS
17.0 package. Inbuilt models in ANSYS FLUENT 17.0 are used for solving above discussed
equations for obtaining the solution.
RESULTSANDDISCUSSIONS
Velocity Profile
Figure 4, 5, 6 are velocity vector profile from the front plane just above outlet nozzle. For
the sake of clarity the advantage of symmetry is used and only one half of the tundish is
shown. Inlet stream coming from the shroud flow towards the bottom of the tundish. After
striking the bottom it spreads radially outward in all directions. A part of the stream flows
along the bottom which on encountering with dams at different locations changes direction
and rises to the top. The other part of stream rises along the wall and flow outwards towards
the extreme end of the tundish. A part of the bottom stream appears out of the outlets if it
does not encounter any dam before it reaches the outlet. One thing which clearly stands out
is that the dam forces the incoming steel to rise towards the top which is beneficial. The
liquid steel rising to the top can help in promoting inclusion floatation. Moreover, liquid
steel rising to the top helps in improving the mixing in the vessel thereby promoting
chemical and thermal homogeneity.
Fig 4.0: Velocity vector profile over tundish outlet plane for Configuration 3,4
The flow before dam is very strong compared to other regions of the tundish. This is
because most of the flow passes out from the tundish from outlet 4 causing very weak flow
near outlet 5 and 6.
Fig 5.0: Velocity vector profile over tundish outlet plane for Configuration 1,6
For the configuration when dam is before outlet 6 the flow profile shows some improvement
over previous configuration. However, the flow is stronger above outlet 6 with weaker flows
over outlet 4 and 5.
Fig 6.0: Velocity vector profile over tundish outlet plane for Configuration 2, 5
In this configuration we find that the flow is more uniform over all the three outletswhen the
dam is placed just before outlet 5. In this case majority of the vectors are directed
downwards from the top. This reveals that a major portion of the flow must have risen to the
top which is now being directed downwards. This helps in increasing the mixing in the
tundish which can be quantitatively evaluated using the Residence Time Distribution
Analysis of the vessel
Residence Time Distribution
Table 1 shows the distribution of active volume in the tundish for the three cases. Active
volume has been calculated for all the six strands. For the purpose of calculating active
volume, the total volume of tundish was divided into six equal parts and it was assumed that
in ideal situation equal amount of liquid steel should flow out from each strand outlet. From
the table, it is very much clear that when dams are placed before 2 and 5, the spread of
active volume across all strands is more uniform than other two cases. The spread is
calculated as the difference between the maximum and the minimum active volume. The
configuration also has minimum variance for all the strands (outlets) indicating uniform
flow for this configuration.
Table 1.0: Active volume of tundish for different configurations
Table 2.0: Peak residence time of tundish for different configurations
Table 2 shows the distribution of peak residence time for the three configurations studied. It
can be seen that peak residence time (which is a measure of time taken by new incoming
metal to reach the outlets) is high for outlets 1 and 6 in case of configurations 1,6 and 3,4.
This suggests that the time taken by stream coming out from the outlets is more that the
mean residence time which can lead to cooling of these streams. The peak residence time for
the configuration 2, 5is around 0.5 even for the outer streams which suggests that hotter
metal will be coming to outlets. Also the spread and variance in case of 2,5 is lower as
compared to other configurations suggesting more uniformity in flow.
Configuration Strand
1
Strand
2
Strand
3
Strand
4
Strand
5
Strand
6
Spread Variance
1,6 0.92 0.83 0.35 0.44 0.84 0.83 0.57 0.058
2,5 0.68 0.67 0.54 0.54 0.68 0.67 0.14 0.005
3,4 0.83 0.71 0.35 0.30 0.71 0.83 0.53 0.055
Configuration Strand
1
Strand
2
Strand
3
Strand
4
Strand
5
Strand
6
Spread Variance
1,6 1.28 0.53 0.1 0.2 0.56 1.44 1.340 0.308
2,5 0.51 0.15 0.015 0.015 0.145 0.5 0.495 0.051
3,4 1.13 0.43 0.11 0.031 0.426 1.12 1.099 0.231
CONCLUSIONS
From current study of flow characteristics of various configurations importance of “Dam” as
a tundish furniture is well understood. Dams have a great role in improving the flow
uniformity in multi strand tundish. The advantages of dam can be even maximized with its
proper positioning, which is very necessary to avoid short circuiting and optimize flow. For
the current tundish geometry studied, it has been found that placement of dam (almost
halfway) just before the outlet 2 and 5 provides most optimum flow characteristics.
REFERENCES
1. D. Mazumdar and R. I. L. Guthrie, “Physical and mathematical modelling of continuous casting tundish
systems,” ISIJ International, vol. 39, no. 6, pp. 524–547, 1999.
2. L. Zhong, B. Li, Y. Zhu, R. Wang, W. Wang, and X. Zhang, “Fluid flow in a four-strand bloom
continuous casting tundish with different flow modifiers,” ISIJ International, vol. 47, no. 1, pp. 88–94,
2007.
3. A. Braun, M. Warzecha, and H. Pfeifer, “Numerical and physical modeling of steel flow in a two-
strand tundish for different casting conditions,” Metallurgical and Materials Transactions B, vol. 41, no.
3, pp. 549–559, 2010.
4. T. Merder and J. Pieprzyca, “Numerical modeling of the influence subflux controller of turbulence on
steel flow in the tundish,” Metalurgija, vol. 50, no. 4, pp. 223–226, 2011.
5. M. Warzecha and T. Merder, “Numerical analysis of the non-metallic inclusions distribution and
separation in a two-strand Tundish,” Metalurgija, vol. 52, no. 2, pp. 153–156, 2013.
6. R. D. Morales, J. J. de Barreto, S. López-Ramirez, J. Palafox-Ramos, and D. Zacharias, “Melt flow
control in a multistrandtundish using a turbulence inhibitor,” Metallurgical and Materials Transactions
B, vol. 31, no. 6, pp. 1505–1515, 2000.
7. S. López-Ramirez, J. D. J. Barreto, J. Palafox-Ramos, R. D. Morales, and D. Zacharias, “Modeling
study of the influence of turbulence inhibitors on the molten steel flow, tracer dispersion, and inclusion
trajectories in tundishes,” Metallurgical and Materials Transactions B, vol. 32, no. 4, pp. 615–627,
2001.
8. B. Moumtez, A. Bellaouar, and K. Talbi, “Numerical investigation of the fluid flow in continuous
casting Tundish using analysis of RTD curves,” Journal of Iron and Steel Research International, vol.
16, no. 2, pp. 22–29, 2009.
9. P. K. Jha and S. K. Dash, “Effect of outlet positions and various turbulence models on mixing in a
single and multi strandtundish,” International Journal of Numerical Methods for Heat and Fluid Flow,
vol. 12, no. 5, pp. 560–584, 2002.
10. A. Kumar, S. C. Koria, and D. Mazumdar, “An assessment of fluid flow modelling and residence time
distribution phenomena in steelmaking tundish systems,” ISIJ International, vol. 44, no. 8, pp. 1334–
1341, 2004.
11. T. Merder, “Effect of casting flow rate on steel flow phenomenna in Tundish,” Metalurgija, vol. 52, no.
2, pp. 161–164, 2013.
12. A. Kumar, D. Mazumdar, and S. C. Koria, “Experimental validation of flow and tracer-dispersion
models in a four-strand billet-casting tundish,” Metallurgical and Materials Transactions B, vol. 36, no.
6, pp. 777–785, 2005.
13. K. J. Craig, D. J. de Kock, K. W. Makgata, and G. J. de Wet, “Design optimization of a single-strand
continuous caster tundish using residence time distribution data,” ISIJ International, vol. 41, no. 10, pp.
1194–1200, 2001.
14. K. Chattopadhyay, M. Isac, and R. I. L. Guthrie, “Physical and mathematical modelling of steelmaking
tundish operations: a review of the last decade (1999–2009),” ISIJ International, vol. 50, no. 3, pp. 331–
348, 2010.
15. Y.Sahai and T. Emi, “Melt Flow characterization in Continuous Casting Tundishes,” ISIJ International,
vol. 36, no. 6, pp. 667–672, 1996.