Simulation Parameters
In the present work, a commercial wide-thick slab continuous caster was selected as the specific research objective, as shown in Figure 2. This caster is composed of fourteen segments and divided into nine cooling zones after the primary cooling region in the mold. The bulging deformation of the wide-thick slab was calculated at three strand positions in Figure 2 (Location 1, Location 2, Location 3) located in the bending, bow, and straightening regions, respectively. More detailed parameters of the cooling zones and the continuous caster structure at the three strand positions are listed in Tables I and II, respectively.
Table I Parameters of the Cooling Zones
Table II Parameters of the Continuous Caster Structure at Three Strand Positions
The chosen steel grade is peritectic steel, and its nominal composition is 0.16 wt pct C, 0.25 wt pct Si, 0.70 wt pct Mn, 0.024 wt pct P, and 0.006 wt pct S. Due to the symmetry of the slab in both the thickness and width directions, one quarter of the commonly produced 2000 mm × 280 mm section size slab was selected for the 2D heat transfer model and the 3D bulging model. Due to the large section size of the wide-thick slab and the characteristics of the nozzle arrangement in the secondary cooling region, the water flux distribution along the slab width direction is non-uniform. According to the arranged position of nozzles in a row, the water flux distribution of zone 5 to 8 shown in Figure 2 was measured. The corresponding nozzle arrangement in zone 5 to 8 and the measured water flux distribution are, respectively, shown in Figures 3(a) and (b) (2100 mm in Figure 3(a) indicates the maximum width of the slab section size that could be produced by the present CC machine, and 2000 mm × 280 mm in Figure 3(b) is the studied slab section size in the present paper). Figure 3(b) clearly shows that the water flux distribution percentage is similar with different water and air pressures and decreasing from slab wide surface center to corner. The water flux distribution in zone 1 to 4 is assumed to be uniform because the nozzles are densely arranged (7 nozzles in a row) to achieve strong cooling intensity at the early casting stage.
2D Heat Transfer Model
Based on some simplified assumptions,[35] a 2D heat transfer model was established to calculate the solidified shell profile and its temperature distribution, as illustrated in Figure 4. 4-node quadrilateral elements with 2 mm side length were applied to evenly mesh the calculation domain. During the calculation, the time step was set as constant of 0.2 second.
The solidification process of the 2D heat transfer model can be described by a transient heat conduction equation as follows:
$$ \frac{\partial }{\partial x}\left( {\lambda \frac{\partial T}{\partial x}} \right) + \frac{\partial }{\partial z}\left( {\lambda \frac{\partial T}{\partial z}} \right){ + }\rho L\frac{{\partial f_{s} }}{\partial t} = \rho c\frac{\partial T}{\partial t}, $$
(1)
where T and t are the temperature in °C and calculation time in s, respectively; and ρ, c, and λ are the temperature-dependent density, specific heat, and conductivity in kg/m3, J/(kg K), and W/(m K), respectively; L is the latent heat of steel solidification and equal to 272000[36] J/kg; fs is the solid fraction.
To acquire more accurate thermal material properties of the peritectic steel, a microsegregation model that was described in detail in the present authors’ previous work[33] was used to calculate the phase fraction evolution, as shown in Figure 5(a). Based on the phase fraction evolution, the thermal material properties of conductivity, density, and enthalpy, as shown in Figures 5(b) through (d), respectively, were calculated using the formulas proposed by Li and Thomas.[36] It should be noted that the thermal conductivity of liquid steel is magnified by a few times compared to that in the solid state for considering the improving effect of molten steel flow on heat conduction of steel.[33,34]
Cooling boundary conditions, such as the heat flux in the mold (qmold), the heat transfer coefficient between the strand and cooling water (h
iw
), and the heat transfer coefficient of radiation (hrad) below the mold, were calculated according to the present authors’ previous work.[33] It should be noted that the measured non-uniform water flux distribution along the slab width direction, as shown in Figure 3(b), was applied to the calculation of h
iw
. Additionally, roll contact, as one of the main cooling phenomena below the mold (the other two cooling phenomena are sprayed cooling water and radiation), significantly influences the solidification process of the continuous casting steel. Given this, an investigation aiming to quantitatively evaluate the influence of the roll contact on the slab heat transfer and stress–strain was carried out by Xia.[37] Using a thermocouple embedded in the strand surface, the slab surface temperature variation caused by roll contact was measured. Then, the key parameters for the heat transfer process between the rolls and the strand, such as the heat transfer coefficients and the contact length, were derived using the measured data and the inverse calculation method. In the present work, the influence of roll contact on the solidification was considered according to the actual position of the rolls and the key parameters obtained by Xia. During the calculation, the 2D heat transfer model was assumed to move from meniscus along the casting direction at the casting speed. When the model was located in the roll contact region, the extracted heat flux by rolls was calculated as follows:
$$ q_{\text{con}} = h_{\text{con}} \cdot (T_{\text{surf}} - T_{\text{roll}} ), $$
(2)
where hcon is the heat transfer coefficient between the rolls and strand in W/(m2·K) and Tsurf and Troll are the temperatures of the strand surface and the roll in K, and Troll is taken as 423 K.[37]
3D Bulging Model
Based on the parameters of the continuous caster given in Table II and the calculated profile of the solidified shell at three strand positions according to the 2D heat transfer model, a 3D bulging model of the wide-thick slab over several roll pitches was then established, as illustrated in Figure 6. 6-node pentahedron elements with 3 to 5 mm sides were used to unevenly mesh the 3D bulging model. During the calculation, automatic time step was employed, and the maximum and minimum time step are, respectively, 0.01 and 0.2 second.
Bulging deformation is not only composed of time-independent elastic deformation, but also the time-dependent inelastic deformation. An elasto-viscoplastic model[38] that characterizes the material structure evolution through the inelastic strain was used to describe the bulging deformation behavior of the casting steel:
$$ \dot{\varepsilon }_{\text{p}} = C\exp \left( {\frac{ - Q}{T}} \right)\left[ {\sigma - a_{\varepsilon } \varepsilon_{\text{p}}^{{n_{\varepsilon } }} } \right]^{n} , $$
(3)
where T is temperature, K; C = 46550 + 71400 (pct C) + 12000 (pct C)2, carbon content-dependent function, MPa−ns−m−1; Q = 44650, activation energy constant, K; a
ε
= 130.5 − 5.128 × 10−3T, temperature-dependent constant MPa s-nε; n
ε
= − 0.6289 + 1.114 × 10−3T, temperature-dependent inelastic strain exponent; n = 8.132 − 1.540 × 10−3T, temperature-dependent net stress exponent; σ is stress, MPa; εp is inelastic strain.
The elastic modulus and Poisson’s ratio were calculated using Eqs. [4] and [5], which were obtained from the numerical fitting of the experimental data by Mizukami[39] and Uehara.[40]
$$ E(T) = 968 - 2.33T + 1.9 \times 10^{ - 3} \times T^{2} - 5.18 \times 10^{ - 7} T^{3} $$
(4)
$$ \upsilon = 8.23 \times 10^{ - 5} T + 0.278, $$
(5)
where E is elastic modulus, GPa; υ is the Poisson’s ratio; T is the temperature, °C.
The yield stress of the research steel grade was measured and applied during the establishment of the 3-D bulging model, and Figure 7 shows the measured yield stress under different temperatures.
The temperature history of nodes calculated by the 2D heat transfer model was applied as a thermal load for the 3D bulging model by an interpolating method based on the strand position and the relationship of node locations between the models. The displacement of nodes on the symmetrical planes was constrained along the direction perpendicular to the symmetrical planes.
To consider the dynamic contact between the rolls and the slab, rolls were modeled as rigid bodies and rotated around their axes at casting speed. The slab was driven forward by the interfacial friction force between it and the driving rolls. The friction coefficient was chosen as 0.3[26,29,41] for the driving rolls and 0.001[29] for the driven rolls. The node to segment contact algorithm was adopted to detect the contact between the rolls and slab, and the tolerance of contact penetration was set as 0.25 mm.[41] The ferrostatic pressure was applied on the solidification front and calculated according to the vertical height from the meniscus as follows:
$$ P = \rho_{\text{l}} gH, $$
(6)
where P is the ferrostatic pressure, Pa; ρl is the steel density at liquidus temperature, kg/m3; g is the gravity acceleration, m/s2; and H is the vertical height from the meniscus, m.
Model Validation
The 2D heat transfer model and the 3D bulging deformation model were verified when the 2000 mm × 280 mm section slab was cast at 0.8 m/min.
To verify the non-uniform solidification results along the slab width direction predicted by the heat transfer model, the surface temperature and solidified shell thickness at the different positions (P0.5, P0.7) indicated in Figure 8(a) were measured using an infrared camera (A40, FLIR) and nail shooting experiments at the exit of Segs. 8 and 9 and were compared with the predicted results in Figures 8(b) and (c). Nail shooting experiment had been widely used to measure the solidified shell thickness by the previous researchers[33,34,41,42] due to its simplicity and accuracy. The principle of this experiment, which had been described in detail in the previous work of Long,[42] is that the sulfur embedded in the slot of the nail surface diffused in the mushy region after the nail is shot into the strand. The location where the diffusion of the sulfur occurs could be clearly distinguished on the macrograph of the slab, and the shell thickness could be obtained by measuring the distance between the slab surface and the location where the sulfur begins to diffuse. It can be clearly seen in Figures 8(b) and (c) that the surface temperature and shell thickness at P0.7 are obviously higher and thinner than those at P0.5 owing to the continuously declining water flux from slab center to corner, as shown in Figure 3(b). The absolute value of the relative error between the predicted and the measured results is less than 2.6 pct for temperature and 3.0 pct for shell thickness. Furthermore, predicted temperature dips of approximately 80 °C can be observed due to the roll contact, which is generally in agreement with the measured results of Xia.[37]
Previous researchers verified their bulging FE models by comparing the maximum bulging deflection predicted by the FE model with either the measured results[24,28,30] or the results calculated by formulas.[22] Due to the lack of measurements of the bulging deflection for the wide-thick slab under an uneven cooling condition, the latter method is adopted in the present paper.
For calculating the maximum bulging deflection, Han[2] proposed a calculation formula based on a beam model with both edges fixed, and Sheng[12] derived a calculation formula with clear physical meaning using creep law. Furthermore, a calculation equation for bulging deflection of the flat plate was employed by Toishi[22] to validate the established bulging FE model by him. These formulas are expressed as follows:
$$ \delta_{\hbox{max} } = \frac{{Pl^{4} }}{{3200E_{e} S^{3} }}\sqrt t $$
(7)
$$ \delta_{\hbox{max} } = \frac{{Pl^{4} }}{{3200ES^{3} }}\left( {1 + \sqrt t } \right) $$
(8)
$$ \delta_{ \hbox{max} } = (1/16) \times ({\text{Pl}}^{2} /{\text{ES}}^{3} ) \times \{ (12/2) - 3\upsilon S^{2} + \upsilon (b + S)^{2} \}, $$
(9)
where δmax is the maximum bulging deflection, cm; P is the ferrostatic pressure, kg/cm2; l is the roll pitch, cm; t is the time for slab to travel a pitch, min; E and Ee are the elastic modulus and equivalent elastic modulus, kg/cm2; S is the shell thickness, cm; b is the slab width, cm; and ν is the Poisson’s ratio.
Table III compares the calculated maximum bulging deflection at the mid-width of the wide-thick slab by Formulas [7] through [9] with the predicted results. It shows that the predicted results agree well with the range of maximum bulging deflection values calculated by these formulas, which verifies the reasonability of the developed FE model in this study.
Table III Comparison of the Maximum Bulging Deflection Calculated by the FE Model and the Formulas