Particle Size Segregation in the Falling Stream of Burden Materials

Guha, Mriganshu; Nag, Samik; Kundu, Saurabh; Patra, Mantu; Sinha, Subhash Kumar; Kumar, Sanjay

doi:10.2355/isijinternational.49.1816

Cited by 9 publications

(9 citation statements)

References 3 publications

(6 reference statements)

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“…Thus, the mass fraction of fine particles is highest close to the center of the chute corresponding to the "inner" part of the falling trajectory, whereas larger particles tend to segregate toward the outer part of the stream. This observation is consistent with experimental results 34 and observations reported by other authors. 25 Still, there are some discrepancies: While no particles of intermediate and large size fall into boxes 1−5, the simulations indicate that about 10% of the intermediate particles would do so.…”

Section: Resultssupporting

confidence: 94%

Flow of Pellet and Coke Particles in and from a Fixed Chute

Saxén

2012

Ind. Eng. Chem. Res.

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The velocity distribution of particles in the chute of a bell-less charging equipment affects the burden segregation and distribution in the blast furnace. This paper studies the angular and translational velocity distributions of particles during their flow along and from an inclined fixed chute through experiments and simulations by the discrete element method. The simulation results are validated by comparison with observed mass fractions collected in boxes at the end of the falling trajectories and by measuring the average velocity of particles along the chute. Angular and translational velocity distributions along and across the chute are reported, and the effect of the particle size distribution and particle shape are studied. The results show that the angular velocity distribution in cross sections of the chute exhibits a V-shaped appearance, that is, opposite the distribution of the translational velocity. The mass fractions of the particles in the trajectories show a similar distribution, regardless of particle size and shape. The mean angular velocity increases and the translational velocity decreases with a growing particle size distribution, while particle shape only influences the angular velocity.

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Section: Resultssupporting

confidence: 94%

Flow of Pellet and Coke Particles in and from a Fixed Chute

Saxén

2012

Ind. Eng. Chem. Res.

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“…N is the total number of other particles contact with particle i. In addition, the calculation method of contact forces and torques in equations (1) and (2) are shown in literature [24].…”

Section: Model Descriptions 21 Mathematical Modelmentioning

confidence: 99%

“…Thus, the particle motion and distribution law in the hopper and the stock surface has been studied by the scholars and ironmaking workers. The research methods of particle motion and distribution law during the charging process are mainly divided into three types, physical experiment [1][2][3][4][5][6][7], single particle mathematical model [8][9][10][11][12][13][14] and discrete element method (DEM) simulation [15][16][17][18][19]. First, the cost of the physical experiment is very expensive, so it cannot be adopted as a normal research method.…”

Section: Introductionmentioning

confidence: 99%

Investigation on the uneven distribution of different types of ores in the hopper and stock surface during the charging process of blast furnace based on discrete element method

Cheng

Niu

et al. 2019

Metall. Res. Technol.

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The model of an actual 4070 m3 bell-less top blast furnace with two parallel hoppers was established, and the distribution of the sinter, pellet, and lump ore in the hopper and the stock surface was analyzed based on the discrete element method. The results show that the distribution of different types of ores is not uniform in the hopper already. In the radial direction of the stock surface, the sinter volume fraction in the center and peripheral region of the stock surface is higher than that in the intermediate region of the stock surface, but the volume distribution of the pellet and lump ore is opposite to the sinter volume distribution. Owing to the size of lump ore is small, so the pressure drop of burden layer in the intermediate region of the stock surface is larger than that in the center and peripheral region. In the circumferential direction of the stock surface, the standard deviation of the volume distribution of the sinter, pellet, and lump ore is 1.28, 0.92 and 0.49, respectively.

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“…The results shows that for ore, sinter and coke, the burden materials in the falling stream segregate according to their size. 40,41) The mass distribution in the falling stream is represented as a normal distribution: 41) where ydr is the mass fraction collected in the interval [r, r + dr] during the experiment, μ is the location of the mass flow center and σ is the width of the material stream. Remark: The burden flow in the free board should be treated as a mass flow with a specific width, because the width of the burden mass flow has an impact on the burden profile.…”

Section: Particles In the Freeboardmentioning

confidence: 99%

Development of Blast Furnace Burden Distribution Process Modeling and Control

et al. 2017

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The burden distribution process is an important and efficient measure to maintain the stable operation of the blast furnace. An accurate burden distribution model will reveal the impact on the internal furnace state and help to optimize the blast furnace production index. This article reviews the recent development of the modeling and control techniques in the burden distribution process. The current modeling methods of the blast furnace burden distribution can mainly be divided into the following types: the mechanismbased method, the physical scale model-based experiments and the data-driven method. However, most of the existing modeling methods are not applicable to general blast furnaces because it depends on the specific furnace structure and parameters. Furthermore, with the advancement in measurement technology, sensors now provide rich amount of online measurement of the blast furnace iron-making process. This makes the data analysis more challenging. It is imperative to establish new modeling methods for the burden distribution process. Therefore, this paper points out the new trends in modeling and control of the blast furnace burden distribution process. First, a dynamic clustering method based on dynamic time warping and adaptive resonance theory is introduced. Second, the inverse dynamic model-based burden distribution control is developed. Furthermore, a multi-model-based switch for modeling the fluctuating blast furnace process is formulated. Finally, the reinforcement learning method for the dynamic optimization of the production index is recommended.

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Particle Size Segregation in the Falling Stream of Burden Materials

Cited by 9 publications

References 3 publications

Flow of Pellet and Coke Particles in and from a Fixed Chute

Flow of Pellet and Coke Particles in and from a Fixed Chute

Investigation on the uneven distribution of different types of ores in the hopper and stock surface during the charging process of blast furnace based on discrete element method

Development of Blast Furnace Burden Distribution Process Modeling and Control

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