Study of gas cavity size hysteresis in a packed bed using DEM

Singh, Varsha; Gupta, G. S.; Sarkar, Sabita

doi:10.1016/j.ces.2007.07.002

Cited by 18 publications

(13 citation statements)

References 17 publications

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“…17. 33,35) It is shown that depth and height of the raceway vary with time. Gas flow, coke movement and porosity also vary with the fluctuation of raceway.…”

Section: )mentioning

confidence: 99%

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Recent Progress and Future Perspective on Mathematical Modeling of Blast Furnace

Ueda¹,

Natsui²,

Nogami³

et al. 2010

ISIJ Int.

146

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Currently low reducing agent operation of blast furnace has been actively pursued in ironmaking due to the global warming. The precise and reliable control of blast furnace aiming at the low reducing operation is required to attain smoothly the stable operation. It is considered that the mathematical model on the ironmaking process can play an important role to ensure the stable blast furnace operation. A mathematical model is a powerful tool to improve conventional processes and to design new processes in ironmaking. These tendencies and requirements are common to every country. Thus, the development of advanced mathematical models of blast furnace like DEM (Discrete Element Method) has attracted a special attention in ironmaking field. Moreover, the combined model of DEM with the continuum model is under development for the purpose of the accurate understanding of inner state of blast furnace. In this paper, the recent activity and progress on the development of advanced mathematical model of blast furnace and future perspective for desirable model are described.KEY WORDS: ironmaking; blast furnace; mathematical model; discrete element method; solid flow; particle method; contiuum model. Review Fig. 1. Transition of blast furnace operating condition in Japan.

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“…17. 33,35) It is shown that depth and height of the raceway vary with time. Gas flow, coke movement and porosity also vary with the fluctuation of raceway.…”

Section: )mentioning

confidence: 99%

“…Influence of gas volume on shape of the raceway was studied by two dimensional model which including solid and gas. 35) Natusi et al discussed the appropriate way to decide contact and rolling frictions of particle and demonstrated influence of the frictions on the solid motion by three-dimensional DEM in sector shaped region near tuyere.…”

Section: )mentioning

confidence: 99%

Recent Progress and Future Perspective on Mathematical Modeling of Blast Furnace

Ueda¹,

Natsui²,

Nogami³

et al. 2010

ISIJ Int.

146

View full text Add to dashboard Cite

show abstract

“…It was found that the size of the hysteresis loops scaled linearly with bed diameter and bed height. Using the discrete element method (DEM) and EulerianEulerian simulations, Singh et al [20] and Wen and Bi [16,15] observed hysteresis in the jet length as a function of the orifice velocity. However, despite these previous reports it is still not clear how the particle characteristics influence the jet height hysteresis.…”

Section: Introductionmentioning

confidence: 99%

Magnetic resonance imaging (MRI) study of jet height hysteresis in packed beds

Köhl¹,

Lu²,

Third³

et al. 2013

AIP Conference Proceedings

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Abstract.The jet-spout transition in fluidized beds can show hysteretic behavior. In this study the jet-spout transition was studied as a function of orifice velocity for particles of different size and shape using Magnetic Resonance Imaging (MRI). The measurements showed that the particle shape primarily affect to the width of the hysteresis loop whereas particle size governs the position of the hysteresis loop with regards to the orifice velocity.

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“…raceway or hearth, in a BF under simplified conditions. Some studies [27][28][29][30][31][32][33] use a combined approach of DPS and CFD (Computational Fluid Dynamics) to investigate the influence of gas phase on solid flow in a BF, mainly focused on the raceway where gas-solid interaction is strong. The success, although largely limited to academic investigation, prompts larger scale, more detailed analysis of solid flow in a BF by the discrete approach.…”

Section: Introductionmentioning

confidence: 99%

“…The application of DPS to BF has been made by some researchers on various aspects, including burden distribution at the top, [18][19][20][21] gas-solid flow in BF shaft [22][23][24][25][26] and raceway, [27][28][29][30][31][32][33] and solid behaviour in the hearth. those studies are mainly focused on a particular region, e.g.…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of the Transient Multiphase Flow in an Ironmaking Blast Furnace

Zhou

Zhu

et al. 2010

ISIJ Int.

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Discrete particle simulation (DPS) has been applied to multiphase flow modelling in an ironmaking blast furnace (BF), including burden distribution at the top, gas-solid flow in the BF shaft and raceway, and liquid-solid flow in the hearth. In this work, the approach is further extended to take into account the transient features of gas and particle flow coupled with liquid tapping operation. In the simulation, two types of particles of coke and ore with different physical properties are considered, together with different shapes of the cohesive zone and the shrinkage of size of ore particles in the cohesive zone to present ore reduction. The simulated results show that the flow of both solid and gas phases varies spatially and temporally, particularly in the cohesive zone. Gas flow is strongly affected by the layered structure of ore and coke particles in the cohesive zone. A coke-free zone can form in the hearth, and the boundary profile between the coke-free zone and the coke bed depends on the amount of liquid accumulated in the hearth, gas and solid flow rates in the raceway, and coke consumption in different regions at the interface of liquid and the coke bed. The results show that the complicated transient multiphase-flow in a BF can be captured by the present approach which may be extended to account for heat transfer and chemical reaction in the future.KEY WORDS: multiphase flow; discrete particle simulation; computational fluid dynamics; blast furnace; cohesive zone. 515

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Study of gas cavity size hysteresis in a packed bed using DEM

Cited by 18 publications

References 17 publications

Recent Progress and Future Perspective on Mathematical Modeling of Blast Furnace

Recent Progress and Future Perspective on Mathematical Modeling of Blast Furnace

Magnetic resonance imaging (MRI) study of jet height hysteresis in packed beds

Numerical Investigation of the Transient Multiphase Flow in an Ironmaking Blast Furnace

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