Large Scale Simulation of Coke and Iron Ore Particle Motions and Air Flow in Actual Blast Furnace

Yuu, Shinichi; Umekage, Toshihiko; Matsuzaki, Shinya; Kadowaki, Masatomo; Kunitomo, Kazuya

doi:10.2355/isijinternational.50.962

Cited by 16 publications

(4 citation statements)

References 14 publications

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“…For example, scaffolds above a tuyere lead to an increased deflection of the gas flow toward the center of the BF. [ 22,23 ] Deflections toward the circumference could be caused by bird's nest structures due to the accumulation of unburned coal particles in the coke bed or an asymmetric geometry of the dead man (which is usually assumed to be a cone‐like structure). [ 24,25 ]…”

Section: Resultsmentioning

confidence: 99%

Toward a Better Understanding of Blast Furnace Raceway Blockages

Puttinger

Stocker

2020

steel research int.

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Operational data of two small size blast furnaces (BFs) with respect to the occurrence of raceway blockages are analyzed. These blockages mainly occur due to erratic movements in the burden. In a previous project, the authors have investigated the various types of raceway blockages and tested different approaches to implement a reliable way to detect such blockages at a very early stage. Early detection of severe blockage events is important to avoid tuyere damages and trigger operational reactions like, e.g., the shutdown of pulverized coal injection (PCI) branches. The most promising algorithm of the previous project has been implemented in the process control system of the BFs and enhanced with the additional calculation of a strength factor serving as an indicator for the severity of a blockage event. The system is now collecting data on raceway blockages since the beginning of 2019. As there is now a good data basis available, herein, the latest findings on blockage event statistics and the correlation with other operational data of the BF are presented.

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Section: Resultsmentioning

confidence: 99%

Toward a Better Understanding of Blast Furnace Raceway Blockages

Puttinger

Stocker

2020

steel research int.

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“…Recently, coworkers (2013, 2014) developed a two-fluid continuum model based on kinetic theory of granular flow to investigate bubble formation in a gas-solid fluidized bed and validated the model with experimental data obtained using ultrafast electron beam X-ray tomography. Since flow of gases and solids influence each other, especially for moving and fluidized bed reactors, efforts have been directed towards coupling the DEM for flow of particles with the CFD model for flow of gases (Tsuji et al, 1992;Tsuji, 1993;Zhou et al, 2008;Yuu et al, 2010;Ueda et al, 2010b). Marias (2003) utilized the process simulation software gPROMS TM for modeling solids processes and coupled it with the CFD tool Fluent TM for modeling fluid flow to simulate a rotary kiln incinerator.…”

Section: Fluid Flow and Heat Transfermentioning

confidence: 99%

Model-Based Optimization of Industrial Gas-Solid Reactors

Runkana

2015

KONA

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Heterogeneous non-catalytic gas-solid reactors are commonly used in the production of chemicals, metals and metal oxides, for example, rotary drum reactor for producing quick lime; blast furnace, a moving bed reactor for producing iron, etc. Industrial processes involve multicomponent mixtures of solids as most of the naturally occurring materials such as minerals are multicomponent in nature. Generally the raw materials are heterogeneous and their physical and chemical characteristics vary from one source to another. The solid particles are also usually moist, the moisture content varying from season to season. The physico-chemical phenomena that take place in these reactors include flow of gases through porous media, heat transfer between the gases, solids, equipment and the environment, evaporation and condensation of moisture, reactions between gases and solids and within a single phase, melting and solidification depending on the temperatures inside the reactor, etc. The flow of particles is also of great importance especially in rotary drum and moving bed reactors. General features of the mathematical models for non-catalytic reactors are described along with models for the phenomena mentioned above. Case studies from the iron and steel industry on model-based optimization of production of direct reduced iron in a rotary kiln and induration of wet iron ore pellets on a moving packed bed reactor are discussed here.

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“…The last two decades have also brought a huge step in computational capabilities and numerous studies have been conducted to improve the understanding of burden and gas flow inside a BF by applying the discrete element method (DEM), 13,14) or coupled models with computational fluid dynamics (CFD-DEM). [15][16][17][18][19][20] Another key factor for better understanding of unstable BF operation is continuous raceway monitoring. The move-ment of coke particles and the behavior of the coal plume in case of a PCI system are good indicators for fault detection.…”

Section: Introductionmentioning

confidence: 99%