Effects of Multiple-Hole Baffle Arrangements on Flow Fields in a Five-Strand Asymmetric Tundish

Zhang, Binglong; Liu, Fuhai; Zhu, Rupeng; Zhu, Jinfeng

doi:10.3390/ma13225129

Cited by 15 publications

(12 citation statements)

References 18 publications

(33 reference statements)

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“…The thickness of the dendritic layer eventually increases, thereby clogging the inner wall of the outlet of the steel nozzle, as is shown in Figure 5 . Titanium and aluminum oxides also form inclusions in slabs when molten steel solidifies [ 17 ]. Owing to the low ductility of titanium and aluminum oxide inclusions, interlayer defects form around these inclusions during hot rolling.…”

Section: Resultsmentioning

confidence: 99%

Optimization of Continuous Casting for Preventing Surface Peeling Defects on Titanium-Containing Ferrite Stainless Steel

Feng

Lin

Chen³

et al. 2023

Materials

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The surfaces of cold-rolled titanium-containing ferrite stainless steel (TCFSS) strips produced from scrap are prone to severe peeling owing to cracking near slab inclusions during hot rolling. In this study, the Taguchi method was used to prevent peeling defects and clogging of the submerged entrance nozzle, and the optimal casting parameters, such as the degree of casting overheating, casting speed, stirring time, and inclination, were determined. The results showed that increasing the degree of casting overheating and decreasing the casting speed prevented clogging and effectively mitigated peeling defects. Sample A3B1C3D2 had the optimal parameters to reduce the clog thickness to less than 1.5 mm, i.e., a degree of overheating of 60 °C, a casting speed of 0.80 m/min, a stirring time of 12.0 s, and an inclination angle of 6.0°. Sample A3B1C1D3 had the optimal parameters to prevent peeling defects, i.e., a degree of overheating of 60 °C, a casting speed of 0.80 m/min, a stirring time of 10.0 s, and an inclination angle of 6.2°. When casting using these optimal parameters, no peeling defects were observed on the surfaces of the TCFSS strips. The TCFSS strips produced using the optimized parameters exhibited the required mechanical properties and satisfied the design criteria. The parameters included a tensile strength of ≥415 MPa, a yield strength of ≥205 MPa, an elongation of ≥22%, and a hardness of ≤89 HRB.

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Section: Resultsmentioning

confidence: 99%

Optimization of Continuous Casting for Preventing Surface Peeling Defects on Titanium-Containing Ferrite Stainless Steel

Feng

Lin

Chen³

et al. 2023

Materials

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“…According to related studies, four factors, the height of the stabilizer stopper, whether the stabilizer has a hole, the opening type of the double-layer retaining wall, and the opening diameter, will all have an impact on the flow field of the tundish [29][30][31][32], denoted by A, B, C, and D, respectively. The results of the experimental program combination are shown in Table 2.…”

Section: Orthogonal Experimental Design Resultsmentioning

confidence: 99%

Analysis of Optimization Weights for Flow Field of Internal Rotation Stabilizer Coupled with Porous Retaining Wall

Liu

Jin

Feifang

et al. 2021

Metals

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In this paper, the flow field of the approximate T-shaped tundish and the removal rate of fine inclusions are improved by changing the parameters of the flow control device of the SCB (stabilizer coupling baffle) structure. Studies have shown that the synergistic effect of the DPRW (double porous retaining wall) structure and the IRS (internal rotation stabilizer) structure has excellent performance in mixing the temperature composition of the molten steel, increasing the average residence time of the molten steel, reducing the volume fraction of the dead zone, and improving the removal rate of fine inclusions. The opening method and diameter of the double-layer retaining wall have a greater impact on the flow field parameters. The larger the diameter, the more conducive to increasing the average residence time, and the smaller the diameter, the more conducive to increasing the removal rate of fine inclusions.

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“…Usually, the RTD curve of ideal tracer in the mathematical model is validated by experimental data in the water model. [57][58][59] But in fact, there are huge difference between the ideal tracer and the actual tracer. Figure 5 shows that, with the increase of the tracer mass concentration or the tracer volume, the actual RTD curve (with solute buoyancy) changes from single flat peak to single sharp peak and then to double peaks.…”

Section: Mathematical Modelmentioning

confidence: 99%

Challenge of Residence Time Distribution Curve in Tundish for Continuous Casting of Steel

Ding

Lei

Chen

et al. 2022

steel research int.

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The residence time distribution (RTD) curve is a simple and useful method to analyze the flow behavior in the tundish. In the last decades, analysis result acquirement based on the RTD curve has been applied to design and optimize the flow control devices in a simple bare tundish or a multistrand tundish. There are many factors to affect the acquirement and analysis of the RTD curve, such as the tracer, the measuring technology, and the analysis model. In order to find a solution for the above issues, the latest progress and research status of RTD curve are discussed in the fields of water model, mathematical model, RTD analysis model, and measuring technology. After comparison, the KCl solution is a good tracer, and its tracer concentration and volume can be determined by the dimensionless tracer parameter (Dtp). The extended combined model can be applied to analyze the RTD curve by pulse input of tracer, and the mean residence time is the key parameter to identify the difference in fluid characteristics among the strands.

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Effects of Multiple-Hole Baffle Arrangements on Flow Fields in a Five-Strand Asymmetric Tundish

Cited by 15 publications

References 18 publications

Optimization of Continuous Casting for Preventing Surface Peeling Defects on Titanium-Containing Ferrite Stainless Steel

Optimization of Continuous Casting for Preventing Surface Peeling Defects on Titanium-Containing Ferrite Stainless Steel

Analysis of Optimization Weights for Flow Field of Internal Rotation Stabilizer Coupled with Porous Retaining Wall

Challenge of Residence Time Distribution Curve in Tundish for Continuous Casting of Steel

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