Numerical analysis of molten steel flow in ladle of RH process.

Tsujino, Ryoji; Nakashima, Junji; Hirai, Masazumi; Sawada, Ikuo

doi:10.2355/isijinternational.29.589

Cited by 40 publications

(26 citation statements)

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“…They found two major circulating loops; one in the region below the downleg and the other major recirculation flow between the upleg and the downleg snorkels. In some of the recent studies by Szatkowski et al, 1) Tsujino et al 4) and Kato et al 7) it has been shown that by pass flow from downleg to upleg is unlikely to occur in the RH ladle even at a reduced circulation rate or reduced distance between upleg and downleg snorkels. The by pass flow observed in the above studies may be the result of using a two dimensional model to represent a three dimensional flow in the ladle.…”

Section: Methodsmentioning

confidence: 97%

Mixing Evaluation in the RH Process Using Mathematical Modelling

et al. 2004

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Mixing phenomena in a RH process has been studied numerically by solving the Navier Stokes equations along with the species concentration equation in a cartesian coordinate system comprising the geometry of the ladle and the snorkel fitted to it. The solution of the species concentration equation has been utilized to compute the mixing time in the RH ladle under different flow conditions. The numerical procedure and solution algorithm has been first verified by comparing the numerically obtained tracer dispersion curve, with the actual plant measurement, which agrees fairly well with each other. Mixing time for the RH process has been computed for different downleg snorkel size, snorkel immersion depth (SID) and steel velocity within the downleg and a non-dimensional mixing time correlation has been developed for the RH ladle taking the above three pertinent input parameters into considerations. The correlated non-dimensional mixing time equation predicts fairly well the computed result as well as the actual mixing time being observed in the plant.

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Section: Methodsmentioning

confidence: 97%

Mixing Evaluation in the RH Process Using Mathematical Modelling

et al. 2004

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“…In order to understand the fluid flow behavior in the ladle, two dimensional and three dimensional models were developed. 1,4,[6][7][8][9][10] In a two dimensional model, 1,6) short circuiting of flow between the legs was observed which does not represent the real situation, but the three dimensional models [7][8][9][10] never showed short circuiting. In all these ladle studies, the presence of the vacuum vessel was ignored (RH operation was not taken in to picture) because it was too difficult to simulate the flow in both the ladle and the RH vessel.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Circulation Flow Rate in the RH Degasser Using Discrete Phase Particle Modeling

Kishan

Dash

2009

ISIJ Int.

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Conservation equations for mass and momentum with a two equation k-e model are solved for the continuous phase along with a discrete phase particle modeling (representing gas bubbles) in the RH degasser to predict the circulation flow rate of water in a scaled down model and then the numerical solution has been extended to the real plant case for the prediction of steel circulation flow rate in the actual RH vessel. The prediction of the circulation flow rate of water from the present numerical solution matches reasonably well with that of the experimental observation, taking into account various uncertainties those have been imbedded in the numerical model. RH operation for multi up legs and single down leg for a water model shows that the circulation flow rate falls with the number of up legs and there is an optimum number of down legs for which the circulation flow rate is the maximum for the case of a single up leg. For the actual RH operation in plant it was seen that the circulation flow rate increases with the increase in snorkel diameter and snorkel immersion depth (SID). However, it is apparent that there is existence of optimum SID for maximum circulation flow rate. For different down leg immersion depth the circulation flow rate in the RH depends heavily on the up leg immersion depth. The actual RH operation of the plant for the multi up leg and down leg cases was found to be exactly similar in nature to that of the water model cases.KEY WORDS: circulation flow rate; multi leg RH; discrete particle modeling. 495

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“…2 -and the value of subatmospheric pressure created in the vacuum chamber. Such values are the main parameters of the process, and their optimal choice depends on the chemical composition of the out-gassed steel [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

“…Determining the optimal parameters of the liquid steel degassing process in RH apparatus in industrial conditions is difficult and expensive [3][4][5]. Thus, the convenient solution is to carry out research with the use of water models and computational simulation (applied commonly in metallurgy of steel and non-ferrous metals) [6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Physical Modelling Of The Steel Flow In RH Apparatus

Pieprzyca¹,

Merder²,

Saternus³

et al. 2015

Archives of Metallurgy and Materials

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The efficiency of vacuum steel degassing using RH methods depends on many factors. One of the most important are hydrodynamic processes occurring in the ladle and vacuum chamber. It is always hard and expensive to determine the flow character and the way of steel mixing in industrial unit; thus in this case, methods of physical modelling are applied. The article presents the results of research carried out on the water physical model of RH apparatus concerning the influence of the flux value of inert gas introduced through the suck legs on hydrodynamic conditions of the process. Results of the research have visualization character and are presented graphically as a RTD curves. The main aim of such research is to optimize the industrial vacuum steel degassing process by means of RH method.

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Numerical analysis of molten steel flow in ladle of RH process.

Cited by 40 publications

References 0 publications

Mixing Evaluation in the RH Process Using Mathematical Modelling

Mixing Evaluation in the RH Process Using Mathematical Modelling

Prediction of Circulation Flow Rate in the RH Degasser Using Discrete Phase Particle Modeling

Physical Modelling Of The Steel Flow In RH Apparatus

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