Fluid Flow Analysis of Jets from Nozzles in Top Blown Process.

Tago, Yukari; Higuchi, Yoshihiko

doi:10.2355/isijinternational.43.209

Cited by 62 publications

(61 citation statements)

References 9 publications

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“…[19] They showed that the calculated core length of the single-hole jet agreed with experimental measurements to within 5%, over the investigated range of values. The simulation also confirmed that a higher ambient temperature leads to a lower gas density and higher gas velocity, but that it has little effect on the dynamic pressure of the jet.…”

Section: The Ld Convertersupporting

confidence: 59%

“…The smooth design gave a more stable velocity output, but the design with sharp corners led to higher velocities at higher ambient pressures. [8] It was also pointed out that, as Tago et al had reported, [19] a higher ambient temperature leads to a much higher velocity, although the effect on the dynamic pressure was much less noticeable. [8] Li and Cang used Computational Fluid Dynamics to model supersonic oxygen jets entering at high ambient temperatures, [20] it was shown that an increase in the ambient temperature led to an increase in the jet potential core.…”

Section: The Ld Convertermentioning

confidence: 98%

“…They also concluded that the Reynolds Stress Model (RSM) gives a better prediction of the jet behavior than the standard k-e model when multiple interacting jets were considered. [19] Song et al used CFD to describe the spreading and shape of supersonic jets under the influence of different ambient temperatures and pressures. [7] Songś work was primarily directed toward understanding the effects of the large pressure variations in the VOD process cycle and how they would affect the choice of de Laval nozzle design.…”

Section: The Ld Convertermentioning

confidence: 99%

“…Tilliander [41] 2002 AOD 2D Steady k-e Heat transfer and fluid flow, AOD nozzle Tago [19] 2003 BOF 2D/ 3D transient k-e/RSM Jet pattern and coalescense Tilliander [39] 2004 AOD 3D Transient k-e Side blowing, nozzle submodel Odenthal [26] 2005 BOF 3D Transient k-e Combined blowing Singh [58] 2007 BOF 3D n/a k-e Bottom blowing, optimization of tuyere position…”

Section: Modeling the Decarburizarion Processmentioning

confidence: 99%

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Review on CFD Simulation and Modeling of Decarburization Processes

Ersson

Tilliander

2017

steel research int.

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Over the last few decades, a number of CFD models have been dedicated to increasing the understanding of the decarburization processes in steelmaking. However, these processes are highly complex with large variations in time and length, and this makes the systems extremely demanding to simulate. Several reports have been published where parts of the processes have been investigated numerically, but to date no models have been presented that can handle the entire complexity of the processes. Here, a review of the research performed on the subject from 1998 to 2016 is given. A table summarizing the models used and the key focus of the studies is given, and it can be concluded that the effort put in so far to investigate the decarburization in steelmaking is substantial, but not complete. The currently available numerical models give an insight into process parameters such as reactions, mixing time, temperature distribution and thermal losses, off-gas post combustion and de-dusting, and also nozzle configuration. With the recent developments in numerical modeling and the increase in hardware capability, the future of simulation and modeling of the decarburization processes in steelmaking seems bright.

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Section: The Ld Convertersupporting

confidence: 59%

Section: The Ld Convertermentioning

confidence: 98%

Section: The Ld Convertermentioning

confidence: 99%

Section: Modeling the Decarburizarion Processmentioning

confidence: 99%

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Review on CFD Simulation and Modeling of Decarburization Processes

Ersson

Tilliander

2017

steel research int.

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“…K. Nakanishi et al 9) investigated the mixing rate of molten steel and mass transfer rate between slag and metal in Q-BOP through water model experiments. Extensive studies were also carried out on the stirring behavior andbehavior mixing characteristics in top blown, [10][11][12][13][14][15] bottom blown, [16][17][18][19][20][21][22] as well as combined blown [23][24][25][26][27][28][29] converter at different stages 30) during a heat using water models. However, the transport phenomena in steel bath are so complex that many phenomena cannot be presented by water model experiments such as the compressibility of high speed oxygen, the interaction behavior between different phases, high temperature performance, etc.…”

mentioning

confidence: 99%