2016
DOI: 10.1007/s11663-016-0743-5
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Mathematical Modeling on the Growth and Removal of Non-metallic Inclusions in the Molten Steel in a Two-Strand Continuous Casting Tundish

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Cited by 74 publications
(50 citation statements)
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“…(10). 27,28,[43][44][45] ......... (10) where α t is the coagulation coefficient for the turbulent collision; ε is the turbulent energy dissipation rate, taken as 0.01 m 2 /s 3 in this calculation, and μ is the dynamic viscosity of liquid steel, 6.92 × 10 − 3 Pa·s. A IMI is the Hamaker constant between a colliding pair of inclusions in molten steel.…”
Section: Surface Tension and Interfacial Tension Of Steel Inmentioning
confidence: 99%
“…(10). 27,28,[43][44][45] ......... (10) where α t is the coagulation coefficient for the turbulent collision; ε is the turbulent energy dissipation rate, taken as 0.01 m 2 /s 3 in this calculation, and μ is the dynamic viscosity of liquid steel, 6.92 × 10 − 3 Pa·s. A IMI is the Hamaker constant between a colliding pair of inclusions in molten steel.…”
Section: Surface Tension and Interfacial Tension Of Steel Inmentioning
confidence: 99%
“…Compared with the devices mentioned in the previous research works, the SFG designed in the current work is simple, durable, and replaceable device. The computational fluid dynamics (CFD) simulations were performed to investigate the flow pattern of the molten steel in the tundish, particularly the swirling flow pattern in the SEN, using the commercial software ANSYS FLUENT 18.0 in which the CFD simulation has been widely adopted to predict the flow pattern in the tundishes . The efficiency of the swirling flow generator was quantitatively described and discussed by a self‐defined parameter.…”
Section: Introductionmentioning
confidence: 99%
“…It is important to remove nonmetallic inclusions from molten steel by agglomeration, coalescence and flotation [1][2][3][4][5] for the purpose of obtaining clean steel. Many experimental and theoretical studies have been done on the agglomeration behavior of fine particles in liquid: agglomeration structure by using a fractal dimension, [6][7][8][9][10][11] wettability of particles, 12,13) heterogeneous agglomeration with a different surface electrification and size, [14][15][16][17][18] particle collision frequency in turbulent flow, 19,20) particle-size grouping.…”
Section: Introductionmentioning
confidence: 99%