Modeling of Liquid Flow in a Packed Bed in the Presence of Gas Flow

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

doi:10.1007/s11663-007-9042-5

Cited by 6 publications

(5 citation statements)

References 19 publications

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“…Knowing the correct shape and size of the cavity helps in understanding the heat, mass and momentum transfer accurately in these reactors. 1,2) Using the proper theory [3][4][5] or correlations, [6][7][8][9][10] it is possible to predict the raceway size in a reasonable way for both increasing and decreasing gas velocity case. However, hardly any theory, using continuum approach, is available to predict the raceway shape which also affects the aerodynamics of the blast furnace and thus the heat and mass transfer.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Raceway Shape and Size

2007

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Prediction of raceway shape and size has always been a challenging task. Based on the previous finding that raceway boundary is an iso-stress boundary, its shape and size has been predicted using a continuum approach. A relation has also been developed to get the stress at the raceway boundary at different blast velocity. Predicted raceway boundary is compared with the experimental raceway boundary/shape and size along with the comparison of theoretical and experimental pressure distribution. A reasonable agreement between the theoretical and experimental raceway shape and size is found. Extension of the work in real blast furnace case is also discussed.

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Section: Introductionmentioning

confidence: 99%

Prediction of Raceway Shape and Size

2007

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“…The point at which the liquid detaches from the upper particle and falls on the lower particle is governed by the moment equation. 26) As long as moment of the liquid (about the detachment point) moving on the particle is less than zero, the liquid stays in contact with the particle; otherwise, it detaches and falls on the lower particle.…”

Section: Modeling Of Liquid Flowmentioning

confidence: 99%

“…An X-ray technique is used to visualize the liquid flow. 25,26) Their study revealed that liquid percolates as a series of droplets and rivulets in a non-wetting system. So, the modelling of nonwetting liquid flow via the continuum hypothesis would be in serious contradiction to the observation when the system is non-wetting or when the liquid flow rate is low.…”

Section: Introductionmentioning

confidence: 99%

“…The liquid flow in this study has been modelled using the force balance technique developed by Gupta et al 10,22) and subsequently used by various other authors. 12,26,29,30) The earlier theory of discrete liquid flow proposed by Gupta et al 10,22) was not only rigorously validated against experiments by Singh and Gupta, 31) but also modified it by including the liquid rupture phenomena. They also verified the influence of gas flow on the non-wetting liquid flow in structured packing.…”

Section: Introductionmentioning

confidence: 99%

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Discrete Liquid Flow Behavior in a 2D Random Packed Bed

Gadi,

Gupta

2023

ISIJ Int.

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In many systems, the liquid flows in discrete rivulet/droplet form rather than continuous in non-wetting or low liquid flow rate conditions. A discrete liquid flow (DLF) theory has been used by a few researchers to describe these systems such as Ironmaking blast furnace. A few investigators have applied the discrete flow of liquid in structured packing where the particles are arranged in a particular pattern where void size and shape are fixed. However, in the real world, the packing system is random, for which the DLF theory has not been extended/verified. Also, DLF theory has not been verified for 2D structural packing in the absence of gas flow rigorously. In this article, this theory is not only validated for structural packing in the absence of gas flow but also extended and validated for 2D random packing. Random packing has been created using the Discrete Element Method. The void size and shape are determined using a novel graphbased algorithm in the random 2D bed to study the liquid flow. The liquid flow behaviour has been studied in various conditions, like changing the packing size and bed height. This study confirms that the bed topology plays an important role in dictating the liquid flow behavior in a randomly packed bed.

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“…In 2007, Singh et al has come up with a model, where they have taken care of the phenomena of droplet detaching from the solid surface by moment balance equation and rupture of rivulet phenomena. When the moment becomes negative, it has been assumed that liquid detaches from the solid surface.…”

Section: Liquid Flowmentioning

confidence: 99%

Flow Phenomena in the Dripping Zone of Blast Furnace − A Review

Ghosh

Nurni

Ballal

2017

steel research int.

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Dripping zone plays a crucial role in modern high productivity blast furnaces; it affects production rate, hot metal quality, and process efficiency. This is a four phase region, where gas, solid, liquid, and powder coexist with each other. Solid and liquid flow downward driven by gravity, whereas gas and powder suspended in the gas flow upward due to the pressure force. The flow of four phases in this region is considerably different from that in the upper shaft region due to the geometry and the presence of deadman zone at the center and discrete raceways at the periphery. This paper presents the review of the current status of the understanding of this flow phenomena of different phases namely, granular solids, dripping liquids, powder, and gas. Discussion on the fundamental aspects of the flow of each phase are followed by review of the current status of experimental investigations and modeling efforts. Gaps in understanding and challenges ahead for future investigations are suggested.

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Modeling of Liquid Flow in a Packed Bed in the Presence of Gas Flow

Cited by 6 publications

References 19 publications

Prediction of Raceway Shape and Size

Prediction of Raceway Shape and Size

Discrete Liquid Flow Behavior in a 2D Random Packed Bed

Flow Phenomena in the Dripping Zone of Blast Furnace − A Review

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