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Ono, Kiyoo; Yanagida, Minoru; Katoh, Tokio; Miwa, Mamoru; Okamoto, Tetsuo

doi:10.4262/denkiseiko.52.149

Cited by 17 publications

(6 citation statements)

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“…Normalized steel recirculation rate as a function of argon purging rate; symbols indicate results of conventional LES‐based CFD simulations (mean, min, and max values), whereas lines show correlations from (solid line) Wei and Yu, [ 2 ] (dashed line) Ono et al, [ 3 ] and (dashed–dotted line) Kuwabara et al [ 1 ] …”

Section: Results: Conventional Cfd Simulationsmentioning

confidence: 99%

“…As a result, several empirical correlations for the recirculation rate have been proposed. [ 1–4 ] Most of them include the influence of the main geometrical features of the plant as well as the gas flow rate and in some cases the pressure inside the VC. Recirculation models have also been combined with compartment models, which differentiate between kinetic reaction mechanism in the VC and species mixing in the ladle.…”

Section: Introductionmentioning

confidence: 99%

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Steel Alloy Homogenization During Rheinsahl–Heraeus Vacuum Treatment: Conventional Computational Fluid Dynamics, Recurrence Computational Fluid Dynamics, and Plant Observations

Pirker

Puttinger

Rössler

et al. 2020

steel research int.

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Computational fluid dynamics (CFD) simulations of steel flow in an Rheinsahl–Heraeus (RH) process are realized by a discrete phase model (DPM) for the driving bubble plumes, a volume of fluid (VoF) method for the free surface in the vacuum chamber (VC), and a large eddy simulations (LES) model for the transport and mixing of steel alloys. CFD simulations are opposed to particle image velocimetry (PIV) analyses of flow pattern at the bath surface in the VC. While simple Reynolds averaged turbulence models fail to reproduce these plant observations, LES agrees fairly well. Furthermore, the steel recirculation rate is compared with empirical correlations from the literature, yielding good agreement with respect to the dependency of the recirculation rate on the gas injection rate. The absolute value of the recirculation rate increases by 15%, in case (realistic) eroded edges are considered instead of a (unrealistic) sharp‐edged geometry. Data‐assisted recurrence CFD (rCFD) is applied to accelerate conventional CFD. The rCFD simulations yield a computational speed‐up of four orders of magnitude, enabling real‐time LES at full grid resolution of three million cells. Titanium homogenization in the steel ladle is addressed by means of rCFD and compared with corresponding plant trials yielding good agreement.

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Section: Results: Conventional Cfd Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Steel Alloy Homogenization During Rheinsahl–Heraeus Vacuum Treatment: Conventional Computational Fluid Dynamics, Recurrence Computational Fluid Dynamics, and Plant Observations

Pirker

Puttinger

Rössler

et al. 2020

steel research int.

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“…Assuming that J 1 is a Bessel function of the first order and N 1 is a Neumann function (Bessel function of the second order), the solution of this equation ϕ(r, z) could be expressed as follows [13]:…”

Section: Eigenvalue Of Spheromak Configuration Considering the Diametmentioning

confidence: 99%

Comparative experiments of co‐ and counter‐helicity merging in the compact toroid merging device TS‐4

Tsuruda

Ono

Katsurai

2003

Electrical Engineering Japan

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SUMMARYFor the past 15 years, the TS-3 merging project has explored several new types of CT/ST (Compact Tori and Spherical Tokamak): merging formation of FRCs (Field Reversed Configuration), magnetic reconnection experiment, and ultrahigh beta ST formation. The successful results of these experiments have enabled us to construct an upscaled merging device, namely, the TS-4. The new TS-4 has two flux cores (major radius = 0.5 m) for inductive plasma formation, a center coil (external toroidal field coil and OH coil), for q value control and plasma sustaining, and DC external field coils. The initial operation of the TS-4 (since 2001) demonstrated co-helicity and counter-helicity merging of two spheromaks. The counter-helicity merging revealed annihilation of toroidal magnetic field with a significant overshoot motion of reconnected field lines. It resulted in the formation of a high-beta (≈ 0.8) FRC. The produced FRC has a significant field deformation, suggesting a contribution of the toroidal plasma flow to its equilibrium. The co-helicity merging doubled the toroidal fluxes of spheromak, causing its flux conversion from toroidal to poloidal. The merging spheromaks relaxed into another spheromak with beta ≈ 0, suggesting the large thermal energy loss due to its non-aximetric dynamo activity.

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“…Many researchers are concerned of improving the refining efficiency and extending the service life of the RH equipment to reduce costs. It is generally considered that the circulation rate and the mixing time are two significant parameters during the RH process. Thus, many researchers have developed physical or mathematical models to simulate the multiphase fluid flow, mixing phenomena, behaviors of bubbles and inclusions, and decarburization process during the RH treatment.…”

Section: Introductionmentioning

confidence: 99%

“…[4] Many researchers are concerned of improving the refining efficiency and extending the service life of the RH equipment to reduce costs. It is generally considered that the circulation rate [5][6][7][8][9][10] and the mixing time [10][11][12][13][14][15][16] are two significant parameters during the RH process. Thus, many researchers have developed physical [13,[17][18][19][20][21] or mathematical models [10,12,[22][23][24][25][26][27] to simulate the multiphase fluid flow, [13,18,22,[26][27][28][29] mixing phenomena, [10][11][12][13][14][15][16][28][29][30][31] behaviors of bubbles and inclusions,` [ 22,30,<...>…”

Section: Introductionmentioning

confidence: 99%

Modeling on the Fluid Flow and Mixing Phenomena in a RH Steel Degasser with Oval Down‐Leg Snorkel

Yong

Liu

Ren

et al. 2018

steel research int.

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The RH vacuum refining process is vitally important for the production of ultra‐low‐carbon steels, due to its effective degassing and homogenizing. A combined physical and mathematical modeling approach is performed in the current study to investigate the multiphase fluid flow and mixing phenomena during the RH vacuum refining process. The numerical simulation coupled VOF and DPM is used to obtain the flow pattern and the interface profile in the RH reactor in the water‐air system. Turbulent characteristics are predicted by a modified k‐ϵ model. A water model is used to validate calculated results. Based on the results of RH water modeling, the 2D‐velocity distribution in the section Y = 0 is captured by particle image velocimetry (PIV) system. To improve the refining efficiency and the service life time of the RH reactor, a new designed RH degasser with an optimized down‐leg snorkel is established. The oval down‐leg snorkel with a larger cross‐sectional area will increase the circulation rate of the fluid by 20% and weaken the impact on the ladle wall compared with the traditional one, which has immense potential in future applications to improve the service life of the ladle.

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Cited by 17 publications

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Steel Alloy Homogenization During Rheinsahl–Heraeus Vacuum Treatment: Conventional Computational Fluid Dynamics, Recurrence Computational Fluid Dynamics, and Plant Observations

Steel Alloy Homogenization During Rheinsahl–Heraeus Vacuum Treatment: Conventional Computational Fluid Dynamics, Recurrence Computational Fluid Dynamics, and Plant Observations

Comparative experiments of co‐ and counter‐helicity merging in the compact toroid merging device TS‐4

Modeling on the Fluid Flow and Mixing Phenomena in a RH Steel Degasser with Oval Down‐Leg Snorkel

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