A New Semi-analytical Model for Prediction of the Strand Surface Temperature in the Continuous Casting of Steel in the Mold Region

Alizadeh, Mostafa; Jahromi, Ahmad Jenabali; Abouali, Omid

doi:10.2355/isijinternational.48.161

Cited by 26 publications

(23 citation statements)

References 15 publications

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“…[8][9][10][11][12][13][14][15] It is evident that the extreme shell thinning effects lead to strand breakouts and here is the importance of understanding shell growth mechanisms to cast peritectic steels; in addition, this steel is known for presenting more longitudinal cracks.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Heat Transfer and Steel Shell Growth in a Curved Slab Mold

et al. 2013

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The main aims of the present research is the study of steel flow under temperature gradient to understand the convective effects on the flow patterns inside the mold and its effects on the shell growth kinetics under more realistic conditions. In order to achieve this, a non-isothermal mathematical model is developed based on the Navier-Stokes equations together with the k-ε turbulence model, the volume of fluid model to solve the multiphase system air-slag-steel and a solidification model. Comparing isothermal and non-isothermal results, it is observed that the buoyancy forces are large enough to modify radically the lower recirculation flows inducing shorter and upwards streams; however, the upper recirculation flows do not show strong changes. Shell growth does not necessarily follow a steady parabolic growth and it is more dependent on the washing effects of convective steel streams. Therefore, shell thickness reports heterogeneous and irregular magnitudes through the four faces of the slab. In addition, mold curvature provides uneven shell growth in the inner side of the slab while in the outer side the shell thickness observes a more regular growth. Shell thickness is irregular and discontinuous all around the upper periphery of the slab; therefore, this region is very sensitive to cracking. Finally, the numerical results for liquid steel solidification are compared to published results of shell growth showing a very good qualitative agreement.

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Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Heat Transfer and Steel Shell Growth in a Curved Slab Mold

et al. 2013

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“…In the mold region, the average heat flux is applied to describe the heat exchange effect in the actual domain [30]:…”

Section: Initial and Boundary Conditionsmentioning

confidence: 99%

Effects of EMS Induced Flow on Solidification and Solute Transport in Bloom Mold

Fang

Wang

et al. 2017

Metals

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Abstract:The flow, temperature, solidification, and solute concentration field in a continuous casting bloom mold were solved simultaneously by a multiphysics numerical model by considering the effect of in-mold electromagnetic stirring (M-EMS). The mold metallurgical differences between cases with and without EMS are discussed first, and then the solute transport model verified. Moreover, the effects of EMS current intensity on the metallurgical behavior in the bloom mold were also investigated. The simulated solute distributions were basically consistent with the test results. The simulations showed that M-EMS can apparently homogenize the initial solidified shell, liquid steel temperature, and solute element in the EMS effective zone. Meanwhile, the impingement effect of jet flow and molten steel superheat can be reduced, and the degree of negative segregation in the solidified shell at the mold corner alleviated from 0.74 to 0.78. However, the level fluctuation and segregation degree in the shell around the center of the wide and narrow sides were aggravated from 4.5 mm to 6.2 mm and from 0.84 to 0.738, respectively. With the rise of current intensity the bloom surface temperature, level fluctuation, stirring intensity, uniformity of molten steel temperature, and solute distribution also increased, while the growth velocity of the solidifying shell in the EMS effective zone declined and the solute mass fraction at the center of the computational outlet (z = 1.5 m) decreased. M-EMS with a current intensity of 600 A is more suitable for big bloom castings.

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“…(6) where z is the coordinate along the round axis (z=0 at the meniscus), α is a constant (it was set to 1), 14) and qa is the local apparent heat flux density at the meniscus. It can be determined that: 15) ............. (7) where ρw and Cw are the density and the specific heat of water at the average temperature in the mold, ΔT T w is the total increase in the cooling water temperature, Pm and Hm are the perimeter and length of the mold, respectively, and Q is the volume flow rate of cooling water.…”

Section: Heat Transfer Modelmentioning

confidence: 99%

“…The program was first validated using the analytical model developed by Alizadeh et al 15) and the shell thickness profile reported in Ming et al 12) In addition, the model was validated by measuring the surface temperatures in different locations on the 410 mm diamater round billet using a pyrometer. Figure 2 compares the predicted temperature profile with the measured data points, demonstrating that the agreement between the predicted values and the pyrometer measurements is quite good.…”

Section: Heat Transfer Modelmentioning

confidence: 99%

Modeling Solidification Microstructures of Steel Round Billets Obtained by Continuous Casting

et al. 2011

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The knowledge of the position of the columnar to equaxial transition (CET) is of paramount importance to evaluate the internal quality of continuous casting (CC) products. One way to control the operational CC conditions with the objective of assuring a given quality level is to develop a numerical program able to calculate the local solidification rate (R), the local thermal gradient (G) and the local time of solidification (tf) and to relate these parameters to the CET by means of a predictive model. In the present investigation, the dendritic morphology and the CET transition of three round billets made of a low carbon steel (0.14%C) and produced by CC are characterized, and a computer model is developed to evaluate the R, G and tf-parameters. Referencing the well-known CET transition model developed by Hunt, a simple prediction equation is thus obtained for the steel under study and it is used to propose guidelines for the optimization of the CC operational parameters.

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A New Semi-analytical Model for Prediction of the Strand Surface Temperature in the Continuous Casting of Steel in the Mold Region

Cited by 26 publications

References 15 publications

Numerical Simulation of Heat Transfer and Steel Shell Growth in a Curved Slab Mold

Numerical Simulation of Heat Transfer and Steel Shell Growth in a Curved Slab Mold

Effects of EMS Induced Flow on Solidification and Solute Transport in Bloom Mold

Modeling Solidification Microstructures of Steel Round Billets Obtained by Continuous Casting

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