The Removal of Inclusions with Different Diameters in Tundish by Channel Induction Heating: A Numerical Simulation Study

Yi, Bing; Zhang, Guifang; Jiang, Qi–Chuan; Zhang, Peipei; Tian, Nan

doi:10.3390/ma16155254

Cited by 5 publications

(4 citation statements)

References 24 publications

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“…In our earlier work [17], we verified the inclusion particle trajectory-tracking model under electromagnetic induction-heating conditions and demonstrated the model's dependability from both a qualitative and quantitative perspective, so we will not go into details on this topic here.…”

Section: Mathematical Model Verificationmentioning

confidence: 92%

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Simulation Study on the Influence of Different Molten Steel Temperatures on Inclusion Distribution under Dual-Channel Induction-Heating Conditions

Yi,

Zhang,

Jiang

et al. 2023

Materials

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Impurity elimination in tundishes is an essential metallurgical function in continuous casting. If inclusions in a tundish cannot be effectively removed, their presence will have a serious impact on the quality of the bloom. As a result, this research investigates the locations of inclusion particles in a six-strand induction-heating tundish in depth, combining the flow, temperature, and inclusion trajectories of molten steel under electromagnetic fields. The results show that a pinch effect occurred in the induction-heating tundish, and a rotating magnetic field formed in the channel, with a maximum value of 0.158 T. The electromagnetic force was directed toward the center of the axis, and its numerical distribution corresponds to the magnetic flux density distribution, with a maximum value of 2.11 × 105 N/m3. The inclusion particles’ movement speed accelerated as the molten steel’s temperature rose, and their distribution in the channel was identical to the rotating flow field distribution. When the steel’s temperature rose from 1750 K to 1850 K, the removal percentage of inclusion particles in the discharge chamber rose by 9.20%, the removal rate at the outlet decreased from 8.00% to 3.00%, and the adhesion percentage of inclusion particles in the channel decreased from 48.40% to 44.40%.

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Section: Mathematical Model Verificationmentioning

confidence: 92%

“…The molten steel in the tundish flows according to the continuity equation, the Navier-Stokes equation, and the k-ε equation, which are applied to the calculation of flow field physics. The energy conservation equation governs the heat transmission of molten steel [17,18] and is used in fluid heat transfer physics.…”

Section: Governing Equationsmentioning

confidence: 99%

Simulation Study on the Influence of Different Molten Steel Temperatures on Inclusion Distribution under Dual-Channel Induction-Heating Conditions

Yi,

Zhang,

Jiang

et al. 2023

Materials

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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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“…Yi et al established a six-flow double-channel T-shaped induction heating tundish mathematical model. The effects of induction heating conditions on the removal of inclusions in the tundish were investigated, and the impact of various inclusion particle sizes on the removal effect of inclusions under induction heating was explored [15]. The effect of Cu on the formation of reversed austenite in super martensitic stainless steel was investigated by Jiang et al using X-ray diffraction (XRD), a transmission electron microscope (TEM), and an energy-dispersive spectrometer (EDS) [16].…”

mentioning

confidence: 99%

Recovery of Non-Ferrous Metal from Metallurgical Residues

Chen

2023

Materials

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The Removal of Inclusions with Different Diameters in Tundish by Channel Induction Heating: A Numerical Simulation Study

Cited by 5 publications

References 24 publications

Simulation Study on the Influence of Different Molten Steel Temperatures on Inclusion Distribution under Dual-Channel Induction-Heating Conditions

Simulation Study on the Influence of Different Molten Steel Temperatures on Inclusion Distribution under Dual-Channel Induction-Heating Conditions

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

Recovery of Non-Ferrous Metal from Metallurgical Residues

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