Hydrodynamics of gas stirred melts: Part I. Gas/liquid coupling

Sahai, Y.; Guthrie, R. I. L.

doi:10.1007/bf02664576

Cited by 139 publications

(94 citation statements)

References 17 publications

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“…Phase on Mixing and Plausible Functional Relationships The many physical and mathematical model studies [11][12][13][14] carried to date have combined to confirm that flow phenomena under typical ladle metallurgy steelmaking conditions (viz., 0.7ϽL/DϽ1.5, e m ϳ0.01 W/kg and n L ϭ10 Ϫ6 m 2 /s, negligible overlying second phase etc.) are essentially dominated by the inertial and the gravitational forces.…”

Section: Quantification Of the Influence Of The Uuppermentioning

confidence: 99%

Mixing Models for Slag Covered, Argon Stirred Ladles

et al. 2010

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Section: Quantification Of the Influence Of The Uuppermentioning

confidence: 99%

Mixing Models for Slag Covered, Argon Stirred Ladles

et al. 2010

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“…It was observed that the experimental results could be simulated by using Eqs. (9), (12) and (13). These results were obtained under limited experimental conditions.…”

Section: Discussionmentioning

confidence: 65%

“…(Ap/n)ϭ0.0071ϫlog(Q/n(gL) 0.5 )ϩ0.0392........ (13) This equation can only be used when some plume eyes exist separately. However, if the plume eyes merge into a single large eye, it is necessary to measure the area of the large eye for using Eq.…”

Section: Discussionmentioning

confidence: 99%

Effect of Bottom Bubbling Conditions on Surface Reaction Rate in Oxygen–Water System

et al. 2010

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In secondary steelmaking, the enhancement of the reaction rate in the low carbon period during the decarburization of steel is considered the most effective method to produce ultralow carbon steel. In a previous study, it was revealed that the surface reaction is dominant during the final stage of the actual refining process. In order to improve the surface reaction rate, it is necessary to enlarge the reaction region, which is usually achieved by increasing the plume eye area. In this study, water model experiments were carried out to estimate the influence of bottom stirring conditions on the gas-liquid reaction rate; for this purpose, the deoxidation rate during the bottom bubbling process was measured. Five types of nozzle configurations were used to study the effect of the plume eye area on the reaction rate at various gas flow rates. The results reveal that the surface reaction rate is influenced by the gas flow rate and the plume eye area. An empirical correlation was developed for the reaction rate and the plume eye area. This correlation was applied to estimate the gas-liquid reaction rate at the bath surface.

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“…According to the macroscopic plume model proposed by Sahai and Guthrie, 24) the average velocity of a plume, Up, is estimated by (1) where Q is the gas flow, L is the liquid depth, and R is the ladle radius.…”

Section: Flow Patterns In the Ladlementioning

confidence: 99%

Determination of Mixing Time in a Ladle-Refining Process Using Optical Image Processing

Kuo

2011

ISIJ Int.

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Water model experiments were performed to measure the mixing time and to investigate the effect of nozzle depth in a ladle-refining process. The depth of the submergence nozzle was varied by 6.0, 7.2, and 8.4 cm, which correspond to fractional depths of 0.5, 0.6, and 0.7, respectively. A new technique was proposed in the present study to measure the mixing time using optical image processing. The mixing time for fractional depths of 0.5, 0.6, and 0.7 determined is 26, 19, and 20 sec, respectively. The gas dispersions in the plume zone are distributed asymmetrically. An increase in the nozzle depth, which enhances recirculation speeds, leads to a decrease in mixing time.

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Hydrodynamics of gas stirred melts: Part I. Gas/liquid coupling

Cited by 139 publications

References 17 publications

Mixing Models for Slag Covered, Argon Stirred Ladles

Mixing Models for Slag Covered, Argon Stirred Ladles

Effect of Bottom Bubbling Conditions on Surface Reaction Rate in Oxygen–Water System

Determination of Mixing Time in a Ladle-Refining Process Using Optical Image Processing

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