Effect of Thermal Buoyancy Force on the Flow, Temperature Distribution and Residence Time Distribution of Molten Steel in the Slab Casting Tundish

Sun, Haibo; Yan, Bingji; Zhang, Jiaquan

doi:10.1002/9781118364697.ch39

Cited by 8 publications

(9 citation statements)

References 16 publications

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“…In our previous study,35 the black ink dispersion in the hydrodynamic model tundish at different time under physical (P) model and its corresponding tracer dispersion in the real plant tundish under the mathematical (M) model were compared as shown in Figure 5. As can be seen, the agreement of tracer dispersion between the hydrodynamic modeling and mathematical modeling was fairly good.…”

Section: Methodsmentioning

confidence: 99%

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Effects of Salt Tracer Amount, Concentration and Kind on the Fluid Flow Behavior in a Hydrodynamic Model of Continuous Casting Tundish

Chen

Cheng

Sun

et al. 2012

steel research int.

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The hydrodynamic modeling method that widely used to simulate the fluid flow was reconsidered and discussed in this paper. The effects of injected salt tracer amount, concentration and kind on the fluid flow behavior in a hydrodynamic model tundish were investigated. The results were compared with the mathematical modeling calculation results, that the tracer density effect was eliminated. The residence time distribution (RTD) curve of tracer introduced deviated to the left side of the calculated curve, besides the deviation was increased as dimensionless tracer amount (the ratio of tracer amount to hydrodynamic model tundish volume) increased from 0.202 × 10−3 to 1.008 × 10−3. The results of tracer concentration study were similar, namely the deviation was increased with concentration increased; on the other hand, the deformation of a “stair‐shape” RTD curve occurred when tracer concentration was much lower (at dimensionless tracer amount of 0.168 × 10−3 with converting to saturated solution). Besides, the effect of tracer kind on the accuracy of hydrodynamic modeling was also studied; the measurements of KCl solution with lower density than that of NaCl solution exhibited more of accuracy. Finally, the optimized tracer in hydrodynamic model tundish of present work is saturated KCl solution with dimensionless tracer amount of 0.202 × 10−3.

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Section: Methodsmentioning

confidence: 99%

“… Black ink dispersion in the hydrodynamic model and its comparison with mathematical model at different time, a) 0.8s, b) 2s, c) 32s, and d) 56s 35…”

Section: Methodsmentioning

confidence: 99%

Effects of Salt Tracer Amount, Concentration and Kind on the Fluid Flow Behavior in a Hydrodynamic Model of Continuous Casting Tundish

Chen

Cheng

Sun

et al. 2012

steel research int.

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“…For this reason, although this work is not related to tundishes, the non-isothermal operating conditions of the tundish have been studied with interest, [7][8][9][10][11][12][13] where it is clear, that the tundish performance depends on the steel being delivered by the ladle.…”

Section: Analysis Of the Effect Of Gas Injection System On The Heatin...mentioning

confidence: 99%

Analysis of the Effect of Gas Injection System on the Heating Rate of a Gas Stirred Steel Ladle Assisted by Physical Modeling and PIV-PLIF Measurements

et al. 2023

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In this work, the Planar Laser-Induced Fluorescence (PLIF) technique is applied to study the effect of the number of nozzles, their radial position and the gas flow rate on the thermal mixing during the secondary steel refining under non-isothermal conditions in a water model. In the physical model, three burners have been used to simulate the arc heating during the liquid metal processing.The results suggest that an increase in the gas flow rate and injection nozzles located at the bottom of the model, in the same radial and angular positions as the heat sources affecting the liquid surface, improve the system's heating efficiency.The use of PLIF proved to be a relevant tool to analyze the heat transfer phenomena and increase the thermal performance of the ladle, opening the possibility of carrying out experiments in non-isothermal physical models of steelmaking reactors, which are currently scarce.

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“…The thermal buoyancy has a significant effect on the flow pattern and temperature distribution of molten steel in a tundish. Sun et al [13] studied the effect of thermal buoyancy on the fluid flow, temperature distribution and residence time distribution (RTD) of molten steel in a single-strand slab tundish, and the results showed that the RTD parameters were very different in the isothermal and non-isothermal water models. Singh et al [14] optimized the FCDs in a single-strand tundish, and the results showed that the use of a non-isothermal model is important, as it was found that even a small change in temperature played a vital role in the fluid flow inside the tundish.…”

Section: Introductionmentioning

confidence: 99%

Fluid Flow and Heat Transfer Behaviors under Non-Isothermal Conditions in a Four-Strand Tundish

Zhu

Peng

Jiang

et al. 2022

Metals

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In the continuous casting process, the fluid flow of molten steel in the tundish is in a non-isothermal state. Because of the geometric shape and process parameters of a multi-strand tundish, the fluid flow behavior of each strand is quite inhomogeneous, and the difference in temperature, composition and inclusion content between each strand is great, which directly affects the quality of the steel products. In this paper, the fluid flow, heat transfer phenomena and inclusion trajectories in a four-strand tundish with and without flow-control devices (FCDs) are investigated using a water model and numerical simulation in isothermal and non-isothermal conditions. The results show that natural convection has a significant influence on the flow pattern and temperature distributions of molten steel in the tundish. Without FCDs, the average residence times of the molten steel in the tundish obtained by the isothermal water model, non-isothermal water model and non-isothermal mathematical model were 251.2 s, 263.3 s and 266.0 s, respectively, and the dead zone volumes were 21.51%, 29.26% and 28.21%, respectively. With FCDs, the average residence times of the molten steel obtained by the isothermal water model, non-isothermal water model and non-isothermal mathematical model were 293.0 s, 304.0 s and 305.2 s, respectively, and the dead zone volumes were 43.98%, 50.23% and 52.78%, respectively. The flow characteristics of the molten steel in the tundish were different between the isothermal and non-isothermal conditions. Compared with isothermal conditions, the numerical simulation results were closer to the water model results in non-isothermal conditions. The trial results showed that the fluid flow in a tundish has a non-isothermal characteristic, and the results in non-isothermal conditions can better reflect the actual fluid flow and heat transfer behaviors of molten steel in a tundish.

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Effect of Thermal Buoyancy Force on the Flow, Temperature Distribution and Residence Time Distribution of Molten Steel in the Slab Casting Tundish

Cited by 8 publications

References 16 publications

Effects of Salt Tracer Amount, Concentration and Kind on the Fluid Flow Behavior in a Hydrodynamic Model of Continuous Casting Tundish

Effects of Salt Tracer Amount, Concentration and Kind on the Fluid Flow Behavior in a Hydrodynamic Model of Continuous Casting Tundish

Analysis of the Effect of Gas Injection System on the Heating Rate of a Gas Stirred Steel Ladle Assisted by Physical Modeling and PIV-PLIF Measurements

Fluid Flow and Heat Transfer Behaviors under Non-Isothermal Conditions in a Four-Strand Tundish

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