Homogenization of non-conductive particles in EM induced metal flow in a cylindrical vessel

Ščepanskis, Mihails; Jakovičs, Andris; Nacke, B.

doi:10.22364/mhd.46.4.11

Cited by 15 publications

(26 citation statements)

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“…It was also stated in [11] that the homogenization takes place between the zones of the main vortices and has an oscillating nature. The rate of the homogenization depends on the size and relative density of the particles.…”

Section: Previous Investigationsmentioning

confidence: 99%

“…The model used by Kirpo was enchanced by Ščepanskis et al by means of a development of OpenFOAM software code [11]: 1) the initial cloud of the particles was situated on the top surface of the melt, which corresponds to the industrial case of admixture injection, and 2) the Lagrange equation was supplemented with lift, acceleration and added mass forces. The calculations predicted the scheme of the particle motion during the industrial process of the admixture homogenization in the last paper.…”

Section: Previous Investigationsmentioning

confidence: 99%

“…The calculations predicted the scheme of the particle motion during the industrial process of the admixture homogenization in the last paper. The general objective of the paper [11] was to investigate numerically process of the homogenization of non-conductive admixture particles in ICF, but not enough attention was paid to the analysis of the significance of all forces in the model. The importance of full set of the forces was proved as the separating trajectories of the particles with equal initial position but different set of forces.…”

Section: Previous Investigationsmentioning

confidence: 99%

“…It should be underlined that this limit in a particle size and following results are relevant only for ICF of the mentioned laboratory scale, while the obtained dependences should be universal. Mentioned effect can be prevented by increasing the flow velocity (see theoretical investigation in [11]). It is also clear that the size of the main eddies influences the balance of the forces in the middle zone.…”

Section: Statistical Analysis Of the Forcesmentioning

confidence: 99%

“…We inject 75 particles in a horizontal plane near the top surface of the crucible. During the period of 10 s the initial cloud of the particles is distributed more or less homogeneous inside the zones of the main vortices (see figure 1), but the number of particles is different between the zones of the upper and the lower main eddies [11]. So we skip this transitional period and start to collect data after that.…”

Section: Statistical Analysis Of the Forcesmentioning

confidence: 99%

See 4 more Smart Citations

Statistical analysis of the influence of forces on particles in EM driven recirculated turbulent flows

Ščepanskis

Jakovičs

Baake

2011

J. Phys.: Conf. Ser.

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The present paper contains an analysis of the statistical distribution of forces affecting non-conducting particles dispersed in an EM induced recirculated flow in induction furnaces. The simulation is conducted adopting the LES-based Euler-Lagrange approach in the limit of dilute conditions (one-way coupling). It is done by means of a development of OpenFOAM software code. The used Lagrange equation for particle tracking includes drag, EM, buoyancy, lift, acceleration and added mass forces. The relevant approximations for the forces are chosen on the basis of the statistical analysis of the non-dimensional parameters (particle Reynolds number, shear stress and acceleration parameter). The effect of force distribution on particle homogenization is described under different density ratios and particle sizes. The recommendations of the consistence of the Lagrange model for the simulation of the particle motion in the laboratory scale induction crucible furnace are given in conclusion.

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Section: Previous Investigationsmentioning

confidence: 99%

Section: Previous Investigationsmentioning

confidence: 99%

Section: Previous Investigationsmentioning

confidence: 99%

Section: Statistical Analysis Of the Forcesmentioning

confidence: 99%

Section: Statistical Analysis Of the Forcesmentioning

confidence: 99%

See 3 more Smart Citations

Statistical analysis of the influence of forces on particles in EM driven recirculated turbulent flows

Ščepanskis

Jakovičs

Baake

2011

J. Phys.: Conf. Ser.

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Numerical Investigation of Filtration Influenced by Microscale CO Bubbles in Steel Melt

2019

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Herein, the influence of the formation of carbon monoxide bubbles on steel cleaning and inclusion removal is addressed. The focus herein is the effect of filter surface bubbles formation on the level of melt cleanliness and the cleaning efficiency. The CO bubbles develop due to the reaction between carbon and oxygen on the filter's surface. A numerical model is developed to consider the effect of this phenomenon on the cleanliness of steel melt. The CO bubbles leave the filter and capture nonmetallic inclusions, moving them upward in the melt, eventually transporting the inclusions to the free surface of the melt, where they are deposited and removed from the melt. In this model, it is assumed that the bubble volume increases either linearly or exponentially because of this reaction. The results show that the formation of CO bubbles on the filter walls does not significantly increase the number of removed inclusions from the melt compared with the formation of bubbles on the inclusion surface. These results indicate that the formation of CO bubbles on the inclusions surface is the primary cause for the increase of cleanliness of the melt.

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A Model for Homogenization of Solid Alloying Admixtures in an Induction Crucible Furnace

Ščepanskis

Jakovičs

Baake

et al. 2014

steel research int.

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The paper presents a methodology for identification of homogenization time of alloying inclusions in an induction crucible furnace. The methodology is based on the Large Eddy Simulation (LES) Euler-Lagrange calculation of inclusions and a regression model for size of the inclusions and their density. The presented regression model avoids the repeated LES calculations and, therefore, is suitable for an optimization task.

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Homogenization of non-conductive particles in EM induced metal flow in a cylindrical vessel

Cited by 15 publications

References 0 publications

Statistical analysis of the influence of forces on particles in EM driven recirculated turbulent flows

Statistical analysis of the influence of forces on particles in EM driven recirculated turbulent flows

Numerical Investigation of Filtration Influenced by Microscale CO Bubbles in Steel Melt

A Model for Homogenization of Solid Alloying Admixtures in an Induction Crucible Furnace

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