Mathematical modeling of blast furnace burden distribution with non-uniform descending speed

Fu, Dong; Chen, Yan; Zhou, Chenn Q.

doi:10.1016/j.apm.2015.02.054

Cited by 48 publications

(41 citation statements)

References 18 publications

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“…First, the smaller coal particles are at the bottom of the chute flow, and then distribute to the inner side of the burden stream. [9,17] Second, after hit the pile, the small particles get trapped in the voids among the large coal particles on the surface and thus percolate toward the center instead of the wall. [11] Third, the larger ones have a larger rolling momentum after colliding with the burden pile and can roll to the outer side of the burden pile.…”

Section: Effect Of the Chute Angle On The Size Segregationmentioning

confidence: 99%

Three-dimensional DEM Study of Coal Distribution in the Melter Gasifier of COREX

You

Hou

Luo

et al. 2016

steel research int.

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COREX is one of the commercialized smelting reduction ironmaking processes. It mainly includes two reactors: a reduction shaft and a melter gasifier (MG). Lump coal is used in the MG to generate reducing agents, and hence its distribution plays an important role in determining the temperature distribution and the reduction of iron ores. To understand the formation of burden profiles, a three-dimensional discrete element method (DEM) model is established and validated against experimental tests. The effects of key operational parameters such as the chute angle and the rotational speed are investigated, and the underlying mechanisms in the formation of an asymmetrical pile are analyzed. The results show that the asymmetrical pile is intrinsic to the discharge system due to the outward motion of lump coal. The results also reveal a significant size segregation of lump coal along the radial direction. Small particles tend to accumulate in the inner side of the pile while the large ones have large fractions in the outer side. The effect of the rotational speed is minor within the range from 3 to 12 rpm. These findings are helpful for the control and optimization of the MG to improve its energy efficiency.

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Section: Effect Of the Chute Angle On The Size Segregationmentioning

confidence: 99%

Three-dimensional DEM Study of Coal Distribution in the Melter Gasifier of COREX

You

Hou

Luo

et al. 2016

steel research int.

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“…Upgrades and modifications have also been made to the BF shaft model, including the implementation of non‐uniform burden descent speed, variable coke and ore layer porosity in the radial and vertical directions, and the mixing layer between coke and iron ore layers in the furnace. Using some of these upgrades, analyses of the impacts of coke layer porosity, coke particle size, and relative burden descent speed on furnace operation were conducted, indicating that decreasing coke particle size could result in a ≈2% reduction in furnace coke consumption for a given operating scenario…”

Section: Cfd Blast Furnace Model Applicationsmentioning

confidence: 99%

Review on Computational Modeling and Visualization of the Ironmaking Blast Furnace at Purdue University Northwest

Okosun

Silaen

Zhou

2019

steel research int.

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Despite the age of the process, the blast furnace remains critical to industrial ironmaking. With advances in analysis technologies and control systems, and economic pressure from competitive new ironmaking techniques, modern blast furnace operation has become more efficient. However, room still exists for improvement, particularly in the blast furnace raceway region. Further development requires better understanding of phenomena within the blast furnace, including heat transfer, mass transfer, chemical reactions, and multiphase flow. To that end, computational simulation and visualization, in multiple approaches, are increasingly used to explore blast furnace phenomena. Current computational approaches range from simplified tools designed for rapid turn‐around times to complex solvers intended to capture the movement of discrete particles within the furnace. This paper reviews recent current state‐of‐the‐art techniques for simulation and visualization of the blast furnace developed by the Center for Innovation through Visualization and Simulation (CIVS) at Purdue University Northwest (PNW), as well as an overview of other advanced techniques in the field.

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“…Therefore, controlling a void fraction in the stacked layer, i.e., the burden distribution at the top of the blast furnace, is the most effective operation for stabilizing the gas flow. Much research has been experimentally conducted and some mathematical models have been proposed to estimate and control the burden distribution [1][2][3][4][5]. These models can give useful information in the daily operation.…”

Section: Introductionmentioning

confidence: 99%

Validation of the Burden Distribution of the 1/3-Scale of a Blast Furnace Simulated by the Discrete Element Method

et al. 2019

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The objective of this paper was to develop a prediction tool for the burden distribution in a charging process of a bell-less-type blast furnace using the discrete element method (DEM). The particle behavior on the rotating chute and on the burden surface was modeled, and the burden distribution was analyzed. Furthermore, the measurements of the burden distribution in a 1/3-scale experimental blast furnace were performed to validate the simulated results. Particle size segregation occurred during conveying to the experimental blast furnace. The smaller particles were initially discharged followed by the larger ones later. This result was used as an input in the simulation. The burden profile simulated using DEM was similar to the experimental one. The terrace was found at the burden surface subsequent to ore-charging, and its simulated position simulated agreed with that of the experimental result. The surface angle of the ore layer was mostly similar. The simulated ore to coke mass ratio (O/C) distribution in the radial direction and the mean particle diameter distribution correlated with the experimental results very well. It can be concluded that this method of particle simulation of the bell-less charging process is highly reliable in the prediction of the burden distribution in a blast furnace. Author Contributions: Data curation, H.M.; Formal analysis, H.M. and Y.N.; Investigation, H.M.; Supervision, K.N. and S.N.; Validation, H.M.; Writing -original draft, H.M. Funding: This research receive no external funding. Conflicts of Interest:The authors declare no conflicts of interest.

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Mathematical modeling of blast furnace burden distribution with non-uniform descending speed

Cited by 48 publications

References 18 publications

Three-dimensional DEM Study of Coal Distribution in the Melter Gasifier of COREX

Three-dimensional DEM Study of Coal Distribution in the Melter Gasifier of COREX

Review on Computational Modeling and Visualization of the Ironmaking Blast Furnace at Purdue University Northwest

Validation of the Burden Distribution of the 1/3-Scale of a Blast Furnace Simulated by the Discrete Element Method

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