An SPH Study of Molten Matte–Slag Dispersion

Natsui, Shungo; Nashimoto, Ryota; Kumagai, Toru; Kikuchi, Tatsuya

doi:10.1007/s11663-017-0930-z

Cited by 15 publications

(11 citation statements)

References 32 publications

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“…In this study, the free surface of the liquid iron and slag are 0.04992 and 0.01248 m 2 , respectively, and the initial iron-slag interface area is 0.02110 m 2 . See Section 2 and a previous report [46] for the counting procedure of n. Figure 6 depicts the time change of the estimated interfacial area of each phase. At t = 0.1 s, the melt penetrates the coke bed, and both interfacial areas significantly vary simultaneously.…”

Section: Resultsmentioning

confidence: 99%

Numerical Study of Binary Trickle Flow of Liquid Iron and Molten Slag in Coke Bed by Smoothed Particle Hydrodynamics

et al. 2020

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In the bottom region of blast furnaces during the ironmaking process, the liquid iron and molten slag drip into the coke bed by the action of gravity. In this study, a practical multi-interfacial smoothed particle hydrodynamics (SPH) simulation is carried out to track the complex liquid transient dripping behavior involving two immiscible phases in the coke bed. Numerical simulations were performed for different conditions corresponding to different values of wettability force between molten slag and cokes. The predicted dripping velocity changes and interfacial shape were investigated. The relaxation of the surface force of liquid iron plays a significant role in the dripping rate; i.e., the molten slag on the cokes acts as a lubricant against liquid iron flow. If the attractive force between the coke and slag is smaller than the gravitational force, the slag then drops together with the liquid iron. When the attractive force between the coke and slag becomes dominant, the iron-slag interface will be preferentially detached. These results indicate that transient interface morphology is formed by the balance between the momentum of the melt and the force acting on each interface.

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Section: Resultsmentioning

confidence: 99%

Numerical Study of Binary Trickle Flow of Liquid Iron and Molten Slag in Coke Bed by Smoothed Particle Hydrodynamics

et al. 2020

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“…Recently, Natsui et al 155) investigated transient behavior of interfaces with in molten slag/molten matte including suspended slag droplets in copper smelting processes. Parametric studies on slag properties and droplet size concluded that the interface tension is the primary factor to decide interface shape, droplet size and settling time.…”

Section: Smooth Particle Hydrodynamics (Sph)mentioning

confidence: 99%

Mathematical Modeling of Multiphase Flow in Steel Continuous Casting

2019

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This paper reviews multiphase flow models for continuous casting of steel from classical models to recent methods. These multiphase flow models are classified into six groups in this paper: quasi-multiphase models, multi-fluid models, moving grid methods, interface tracking methods, particle based models/ methods and hybrid models. For each model, the governing equations are summarized and the inherent advantages and disadvantages are discussed. Example applications of each model are presented from previous literature, illustrating typical results and accuracy that can be obtained. The objective of this paper is to guide readers to choose an appropriate multiphase flow model for their application. Argon gas bubble effects on the flow pattern can be modeled with simple mixture models, Eulerian-Eulerian models, Multiple size group models which also track bubble size distributions, and Discrete-Phase Models (DPM). Gas pockets and slug flow, which can occur inside the nozzle are more complex, and hybrid models which combine different models together, such as Eulerian-Eulerian, level-set, Volume of Fluid (VOF), and DPM, appear promising. The shape of the slag/steel interfacial profile, level fluctuations, and slag entrainment can be modeled with free surface methods, such as moving grid, VOF, or other interface tracking methods. Particle transport and entrapment, including inclusions and gas bubbles can be added via DPM models and also require a capture criterion model. Solidification and meniscus phenomena require flow models coupled with heat transfer and solidification.

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“…On the other hand, recent numerical analyses by the Lagrangian approach, which can track moving calculation points, has been adopted for multi-fluid physics problems in a high-temperature metallurgical process with a complicated interface. 11,[27][28][29][30][31][32][33] The advantage of this method is the explicit tracking of time-varying fluid interfaces, which is difficult to observe experimentally. The smoothed particle hydrodynamics (SPH) method, which discretizes a continuous fluid phase by moving particles, is suitable for the analysis of interfacial flow, even for the large number of dispersed liquid phase.…”

Section: Detailed Modeling Of Melt Dripping In Coke Bed By Dem -Sphmentioning

confidence: 99%

“…Since the density varies under SPH assumption, it is essential that ρ be defined as a density function 〈ρ〉 i for each particle ρ i →〈ρ〉 i , as detailed in a previous study. 29,30) 2.1.…”

Section: (4)mentioning

confidence: 99%

Detailed Modeling of Melt Dripping in Coke Bed by DEM – SPH

et al. 2018

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A high-resolution numerical model was performed for a detailed understanding of packed-bed structures constructed by actual scale cokes, and the molten slag (SiO 2-CaO-Al 2 O 3) trickle flow characteristics in the lower part of an actual blast furnace. Smoothed particle hydrodynamics (SPH) simulations can track the motion of liquids containing dispersed droplets, and the discrete element method (DEM) with a multisphere approach makes possible to simulate non-spherical solid-particle motion. We carried out highresolution large-scale trickle flow simulations using more than 10 million particles, carried out case studies of statistical processing, and evaluated the effects of physical properties varied by the composition or temperature of slag samples. We clarified that there is a limitation to predict the holdup accurately based on the capillary number, which is a widely used approach. We analyzed the influence of melt viscosity on trickle flow, and clarified that an increase in viscosity increases holdup because limiting the effective flow path and suppressing the dispersion of the droplets promoted the enlargement of each stagnant droplet. This detailed direct dynamic model could explain the mechanism underlying different holdup tendencies in conventional research.

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An SPH Study of Molten Matte–Slag Dispersion

Cited by 15 publications

References 32 publications

Numerical Study of Binary Trickle Flow of Liquid Iron and Molten Slag in Coke Bed by Smoothed Particle Hydrodynamics

Numerical Study of Binary Trickle Flow of Liquid Iron and Molten Slag in Coke Bed by Smoothed Particle Hydrodynamics

Mathematical Modeling of Multiphase Flow in Steel Continuous Casting

Detailed Modeling of Melt Dripping in Coke Bed by DEM – SPH

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