Numerical Simulation of Collision-Coalescence and Removal of Inclusions in a Tundish

Yang, Bin; Lei, Hong; Bi, Qian; Xiao, Yuanyou; Zhao, Yan

doi:10.1007/s11837-018-3061-3

Cited by 22 publications

(6 citation statements)

References 21 publications

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“…[ 34 ] 2) The behavior of the inclusions was neglected because their volume concentration in the molten steel was small, i.e., approximately 271 ppm. [ 35 ] 3) The molten steel flow field was assumed to be in a steady state.…”

Section: Numerical Simulation Of Molten Steel Flow In the Tundishmentioning

confidence: 99%

“…Similar to the experiment reported in a previous study, [ 35 ] the “stimulus‐response” method is applied in the simulation to obtain the RTD at each nozzle outlet. Specifically, after obtaining the converged flow field, the tracer, whose physical properties are the same as those of the molten steel, is injected into the tundish through the ladle shroud for 1 s. Simultaneously, the variation in the tracer concentration at each outlet with time is recorded.…”

Section: Numerical Simulation Of Molten Steel Flow In the Tundishmentioning

confidence: 99%

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Evaluation of Molten Steel Flow Behaviors in a Multistrand Tundish via Numerical Simulation and Grey Relational Analysis with a New Dimensionless Operator

Wu,

Liu,

et al. 2023

steel research int.

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Optimizing the tundish structure can effectively improve billet or solid product quality. The correlation between the structural parameters of the baffle and the flow characteristics of molten steel in a tundish is a prerequisite for tundish structural optimization. In this study, molten steel flow behaviors are stimulated in a five‐strand tundish using computational fluid dynamics. The behaviors are characterized by the dead‐zone ratio of the entire tundish and the flow consistency of five strands at the outlets. Further, the influences of different structural parameters on the characteristics are analyzed, and the degree of influence is evaluated using grey relational analysis (GRA). Four traditional nondimensionalization operators are used for GRA. However, the results obtained from different operators are inconsistent. Therefore, a benchmark deviation dimensionless operator is proposed to improve the accuracy of GRA. The improved grey correlation degrees are consistent with the results obtained through numerical simulation. The rank of the grey correlation degree indicates that the diameter and inclination angle of Orifice B, which is at the lower position of the baffle, are highly correlated with the dead‐zone ratio. The inclination angles should have a larger correlation degree for flow consistency than the orifice diameter.

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Section: Numerical Simulation Of Molten Steel Flow In the Tundishmentioning

confidence: 99%

Section: Numerical Simulation Of Molten Steel Flow In the Tundishmentioning

confidence: 99%

Evaluation of Molten Steel Flow Behaviors in a Multistrand Tundish via Numerical Simulation and Grey Relational Analysis with a New Dimensionless Operator

Wu,

Liu,

et al. 2023

steel research int.

View full text Add to dashboard Cite

show abstract

“…The inclusion mass and population conservation model [25][26][27], which are verified by the industrial experiment [26] are applied to describe the inclusion collision-aggregation in the tundish.…”

Section: Inclusion Collision-coalescence Modelmentioning

confidence: 99%

Quasi-Symmetric Transfer Behavior in an Asymmetric Two-Strand Tundish with Different Turbulence Inhibitor

Yang

Lei

Zhao

et al. 2019

Metals

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The task of the tundish is to supply and distribute the molten steel with the similar temperature and the similar inclusion mass concentration to the continuous casting mold. But it is difficult for the asymmetric tundish to accomplish this task. Thus, the scheme about the asymmetric turbulence inhibitor and the baffle wall with guided holes is proposed to optimize the tundish. In order to have a deep insight into the metallurgical behavior in the asymmetric tundish, numerical simulation is applied to describe the fluid flow, the heat transfer, RTD (residence time distribution) curve, and inclusion collision aggregation behavior. Numerical results show that the predicted temperature and inclusion concentration agree with the industrial experimental data. In the asymmetric two-strand tundish, the asymmetric turbulence inhibitor and the baffle wall with guided holes can extend the mean residence time at the left outlet, reduce the temperature difference between the two outlets, and prompt the inclusion removal rate at the left outlet.

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“…[17][18][19][20][21][22] Common flow control means include setting up weirs, dams, turbulence controllers, etc. [23] In recent years, researchers have become increasingly interested in tundish flow control. Chen et al [24] used two tundish designs to study the deposition of inclusions at the steel-slag interface for different inclusions sizes, different steel-slag interfaces, and different absorption conditions.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation Study on the Influence of Tundish Filter on Molten Steel Flow and Inclusions Removal

Ding,

Feng,

Luo

et al. 2024

steel research int.

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To study the influence of filter devices on the cleanliness and flow velocity of molten steel in the tundish, the Reynolds averaged Navier–Stokes equations, the species transport, and the discrete phase model are chosen to analyze and optimize the evolution of molten steel flow field and inclusions removal. The results demonstrate that the filter significantly affects molten steel flow and the removal of inclusions. More filter holes mean more inclusions can contact the filter, and the filter can absorb more inclusions. By changing the number and distribution of filter holes in the filter, the uniform flow of molten steel in the filter section is obtained. The total removal rate of inclusions increases from 64% of the original tundish case to 80% of the optimized case. With the increase in the number of filter holes, the Residence Time Distribution (RTD) curve shape of molten steel changes from narrow and high to wide and short, the tracer's appearance time and peak time at the tundish outlet are prolonged, the average residence time grows from 445 to 738 s, and the dead zone volume is reduced from 39.9% to a mere 0.5%.

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Numerical Simulation of Collision-Coalescence and Removal of Inclusions in a Tundish

Cited by 22 publications

References 21 publications

Evaluation of Molten Steel Flow Behaviors in a Multistrand Tundish via Numerical Simulation and Grey Relational Analysis with a New Dimensionless Operator

Evaluation of Molten Steel Flow Behaviors in a Multistrand Tundish via Numerical Simulation and Grey Relational Analysis with a New Dimensionless Operator

Quasi-Symmetric Transfer Behavior in an Asymmetric Two-Strand Tundish with Different Turbulence Inhibitor

Numerical Simulation Study on the Influence of Tundish Filter on Molten Steel Flow and Inclusions Removal

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