Distribution of Particle Descending Velocity in the COREX Shaft Furnace with DEM Simulation

Kou, Mingyin; Wu, Shengli; Shen, Wei; Du, Kaiping; Zhang, Lihua; Sun, Jing

doi:10.2355/isijinternational.53.2080

Cited by 32 publications

(38 citation statements)

References 27 publications

(28 reference statements)

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“…So far, DEM has become one of the most powerful simulation methods for granular behaviors. In the ironmaking field, many researches [5][6][7][8] had been studied about the granular behavior based on DEM, and the simulation results coincided well with the experiments and industrial operation. It can be found that DEM is well developed and useful to investigate the granular behavior after comparing the results with previous work.…”

supporting

confidence: 56%

“…The geometries in the 3D model, include the shaft furnace wall and the screws, are made of steel. According to Fernandez [24] and Kou [5], because the screw may be polished by the particle flow, the static friction coefficient between the screw surface and particle is set as 0.364. The simulation parameters are collected in Table 3 [5,8,17,25,26].…”

Section: Model Simulationmentioning

confidence: 99%

“…To sum up, there have been two approaches adopted for the solid flow research, such as the physical simulation [2][3][4] and the mathematical simulation [5,6]. Compared with the mathematical simulation, the physical simulation is hard to analyze the solid flow quantificationally.…”

mentioning

confidence: 99%

“…Hence many researches had been investigated about the solid flow [2][3][4][5][6], these results are helpful for an overall understanding of the solid flow. To sum up, there have been two approaches adopted for the solid flow research, such as the physical simulation [2][3][4] and the mathematical simulation [5,6].…”

mentioning

confidence: 99%

“…Compared with the mathematical simulation, the physical simulation is hard to analyze the solid flow quantificationally. Kou et al [5] researched the effect of the bottom diameter of COREX shaft furnace, the cylinder height and the screw flight diameter on the particle velocity distribution based on DEM. However, the model he developed is not taken into account the effect of the gas flow in the shaft furnace, the height, the diameter and the bosh angle of the shaft furnace on the particle descending velocity.…”

mentioning

confidence: 99%

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DEM simulation of particle descending velocity distribution in the reduction shaft furnace

Bai

2016

Metall. Res. Technol.

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-Reduction shaft furnace is a promising alternative to blast furnace ironmaking. The particle descending velocity distribution has a great influence on the shaft furnace, which directly affects the production index and further the shaft furnace normal smelting. Therefore, a three-dimensional model (3D) is established based on the discrete element method (DEM) and computation fluid dynamic (CFD). The effect of the gas flow in the shaft furnace, the height, the diameter and the bosh angle of the shaft furnace on the particle descending velocity distribution during discharging process is investigated by the model and analyzed based on the granular dynamic theory and Janssen theory. The results show that the particle velocity reduces along the radius. The effect of the gas flow on the velocity distribution is insignificant. In order to obtain a uniform velocity distribution, it is better to increase the height, or the diameter, or to decrease the bosh angle. An improved model is proposed for the uniform velocity distribution at last.B ecause of its fast reduction rates, consistent product quality, minimal environmental impacts, and great flexibility, reduction shaft furnace is a promising alternative to blast furnace ironmaking [1]. In the shaft furnace production, iron ore particles are charging in the shaft furnace, and the reducing gas having high temperature is blown from tuyeres, then the particles are reduced during descending. If the particle descending velocity distribution is not reasonable, the iron ore particles will not be reduced better, causing the production index decreases and further affecting the shaft furnace normal smelting. Consequently, it is necessary to focus on researching the particle descending velocity distribution in the shaft furnace.Hence many researches had been investigated about the solid flow [2-6], these results are helpful for an overall understanding of the solid flow. To sum up, there have been two approaches adopted for the solid flow research, such as the physical simulation [2][3][4] and the mathematical simulation [5,6]. Compared with the mathematical simulation, the physical simulation is hard to analyze the solid flow quantificationally. Kou et al. [5] researched the effect of the bottom diameter of COREX shaft furnace, the cylinder height and the screw flight diameter on the particle velocity distribution based on DEM. However, the model he developed is not taken into account the effect of the gas flow in the shaft furnace, the height, the diameter and the bosh angle of the shaft furnace on the particle descending velocity.Numerical simulation analysis for solid flow in shaft furnace is a useful tool to understand the behavior of solid flow. So far, DEM has become one of the most powerful simulation methods for granular behaviors. In the ironmaking field, many researches [5][6][7][8] had been studied about the granular behavior based on DEM, and the simulation results coincided well with the experiments and industrial operation. It can be found that DEM is well ...

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supporting

confidence: 56%

Section: Model Simulationmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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DEM simulation of particle descending velocity distribution in the reduction shaft furnace

Bai

2016

Metall. Res. Technol.

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Experimental Study on Burden Descending Behavior in COREX Shaft Furnace with AGD Beams

Zhou

Luo

Zou

et al. 2015

steel research int.

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COREX is an industrially and commercially proven smelting reduction process. It consists of two reactors, the shaft furnace (SF) and the melter gasifier and the SF is placed above the melter gasifier. In the new design of COREX-3000 in Baosteel, China, a new technique called Areal Gas Distribution (AGD) has been adopted. With the installation of two AGD beams, the cross-sectional area varies in a complicated manner which will affect the burden descending behaviour. This work uses a cold model to investigate solid particle behaviour in the SF of COREX-3000. The effect of gas flow, discharging rate and abnormal conditions are characterised in terms of solid flow pattern. The results show that gas flow has a minor effect on burden descending behaviour. Increasing the discharging rate has an effect of reducing the quasi-stagnant zone. A gas channel is observed downstream of AGD beam and the triangle shaped free area increase with the increase of burden discharging rate. For asymmetric flow, particles descend from the top and move to the discharging outlet and a very big stagnant zone is formed on the opposite side of the discharging outlet. The effect of AGD beams on solid flow is evaluated under normal and abnormal conditions. The investigation reveals that the AGD beams affect the solid flow significantly and lead to poor adaptability of furnace to abnormal operations.

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Numerical Simulation of Burden and Gas Distributions Inside COREX Shaft Furnace

Kou¹,

Wang

et al. 2015

steel research int.

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Shaft furnace plays a very important role in the quantity and quality indexes of the COREX process. However, the simulation on the burden and gas distributions in COREX shaft furnace is still immature and hence needs further developed and improved. For instance, currently the geometric model is commonly used to simulate the COREX shaft furnace, but can only take into account one or two kinds of burden materials. To improve the simulation of the COREX shaft furnace, a three dimensional model of COREX shaft furnace is developed in this study. It applies the discrete element method (DEM) to a COREX‐3000 shaft furnace with the charging system whose size is the same as the actual one. The model simulates the charging process with four types of burdens together and then is used to investigate the effects of different distributor angles on the burden and gas distributions. Results show that the position of burden apex moves towards the wall and the height of burden profile decreases with the increase of distributor angle. Coke and flux roll away from the striking point, while ore segregates close to the striking point, and pellet always tends to move towards the central area. Coke and flux segregate more obviously in the wall area when the distributor angle is no larger than 10° while they segregate more in both the wall and the center areas when the angle is no smaller than 20°. The distributor angle is recommended to be no larger than 10° to control the central gas flow and be larger than 25° to prevent the peripheral gas from over developing.

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Distribution of Particle Descending Velocity in the COREX Shaft Furnace with DEM Simulation

Cited by 32 publications

References 27 publications

DEM simulation of particle descending velocity distribution in the reduction shaft furnace

DEM simulation of particle descending velocity distribution in the reduction shaft furnace

Experimental Study on Burden Descending Behavior in COREX Shaft Furnace with AGD Beams

Numerical Simulation of Burden and Gas Distributions Inside COREX Shaft Furnace

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