Numerical Simulation on Multiphase Flow and Slag Entrainment During Casting Start of a Slab Continuous Casting Tundish

Chen, Hongliang; Liu, Zhentong; Li, Feng‐Chen; Lyu, Binyu; Chen, Wei; Zhang, Lifeng

doi:10.1007/s11663-023-02815-3

Cited by 6 publications

(2 citation statements)

References 36 publications

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“…This allows the treatment of new a old grades as separate components to study the steel grade transition in the tundish. T numerical simulations of the tundish flow field [19][20][21][22][23][24][25] and numerical simulations of F-EMS electromagnetic field [26][27][28][29][30] have become relatively mature. This paper does delve further into the modeling process for the tundish steel grade transition and F-EM The steel grade transition of a bloom encompasses various intricate physical p nomena, including fluid flow, heat transfer, solidification, an electromagnetic field, a solute transport.…”

Section: Simulation Model 21 Model Description and Assumptionsmentioning

confidence: 99%

Numerical Simulation of Macro-Segregation Phenomena in Transition Blooms with Various Carbon Contents

Song,

Sun,

Chen

2024

Metals

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This paper presents a numerical simulation of the steel grade transition from the ladle nozzle to the solidification end of the bloom. The simulation is based on models encompassing fluid flow, solidification, heat transfer, an electromagnetic field, and solute transport. To validate the accuracy of the steel grade transition model, transition blooms of high-carbon steel are sampled. Subsequently, the model is applied to investigating the steel grade transition between medium-carbon steel and low-carbon steel. The findings indicate that the regions exhibiting significant differences between their molten steel flow velocity and bloom casting speed in the strand model are primarily concentrated within 1 m below the meniscus. Additionally, the mushy zone in the strand model possesses a substantial volume. Solute elements continuously permeate the liquid phase from the solid phase through the mushy zone. Consequently, the distribution of solute elements in the transition bloom is primarily influenced by the molten steel flow in the tundish and macro-segregation in the casting process. The segregation degree of each solute element varies among grades with different carbon contents. In the austenite phase, the segregation degree of each element follows the order C > Si > Mo > Mn > Cr > Ni, while in the ferrite phase, the segregation degree is ordered as C > Si = Mn. Considering macro-segregation, the transition bloom partition model proves to be more stringent than the original partition method. This results in longer transition blooms when a significant difference exists between the new and old grades. For example, in Scheme 1, the original plan transition bloom length is 8.88 m, whereas the new plan transition bloom length is 10.88 m. Similarly, in Scheme 2, the original plan transition bloom length is 34.64 m, and the new plan transition bloom length is 35.16 m. Conversely, shorter partition intervals occur when there is an overlap in the composition of the new and old grades. In Scheme 3, the original plan partition interval for the new and old grades is 4.08 m, while the new plan partition interval is reduced to 0.94 m.

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Section: Simulation Model 21 Model Description and Assumptionsmentioning

confidence: 99%

Numerical Simulation of Macro-Segregation Phenomena in Transition Blooms with Various Carbon Contents

Song,

Sun,

Chen

2024

Metals

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“…In recent years, tundish metallurgy has emerged as a widely studied field among scholars. To meet the demands of producing clean steel, researchers have employed both physical [1][2][3][4][5] and mathematical [6][7][8][9][10][11] simulation methods, focusing on the flow of molten steel. This entails optimizing flow control devices [12,13], adjusting process parameters [14,15], implementing gas blowing in the tundish [16,17], and utilizing induction heating technology [18,19].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Fluid Flow and Tracer Dispersion in Four-Strand Tundish under Fewer Strand Casting and Sudden Blockage of Strand Conditions

Song,

Luo,

et al. 2024

Metals

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The study focuses on the four-strand tundish as the research object, aiming at the phenomenon of fewer strand casting (stable blockage) and sudden blockage of the tundish in industrial production. Numerical simulation methods are employed to compare the velocity vectors, flow fields, residence time distribution (RTD) curves, and outflow percentage curves under stable blockage and sudden blockage of the tundishes with a double-weir structure, U-shaped weir structure, and U-shaped weir structure with holes in the front. The results indicate that, after sudden blockage of the tundish strands, the flow field transitions from an unstable four-strand flow field to a stable three-strand flow field. Both the double-weir tundish and the U-shaped weir tundish reach a stable state after 200 s, while the U-shaped weir tundish with holes in the front reaches stability after 150 s. Additionally, compared to other structures, the tundish strands of the U-shaped weir with holes in the front are less affected by blockage, showing better consistency among strands and better adaptability under non-standard casting conditions.

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Numerical Investigation on Transient Flow and Inclusion Removal Behavior in Tundish During Ladle Change Process

Zhang,

Wang,

et al. 2024

steel research int.

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The removal of inclusion particles is an important function of tundish metallurgy. During ladle change, the liquid level fluctuation around the ladle shroud is severe, which may affect the effectiveness of inclusion removal. In the present study, the fluid flow characteristics and inclusion‐removal behavior in the tundish during ladle change are investigated by numerical simulation method. And the effectiveness of flow control devices on the flow characteristics of molten steel is evaluated. It is found that the escape rate of inclusion particles during ladle change is ordered as emptying process < steady process < filling process. The proper combination of weir, dam, and turbulence inhibitor can optimize the conditions for the floating and removal of inclusion particles to the greatest extent. In the tundish with weir and dam, the escape rates of inclusion particles with sizes of 10, 50, and 100 μm throughout the entire ladle change period are respectively reduced by 9.8%, 1.6%, and 1.4%, compared to not using flow control devices. With a combination of weir, dam, and turbulence inhibitor, the escape rates of the three types of inclusion particles are reduced by 24.7%, 9.9%, and 1.2%, respectively.

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Numerical Simulation on Multiphase Flow and Slag Entrainment During Casting Start of a Slab Continuous Casting Tundish

Cited by 6 publications

References 36 publications

Numerical Simulation of Macro-Segregation Phenomena in Transition Blooms with Various Carbon Contents

Numerical Simulation of Macro-Segregation Phenomena in Transition Blooms with Various Carbon Contents

Comparison of Fluid Flow and Tracer Dispersion in Four-Strand Tundish under Fewer Strand Casting and Sudden Blockage of Strand Conditions

Numerical Investigation on Transient Flow and Inclusion Removal Behavior in Tundish During Ladle Change Process

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