首页|Experimental and numerical investigation of iron ore pellet firing using coupled CFD-DEM method

Experimental and numerical investigation of iron ore pellet firing using coupled CFD-DEM method

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Iron ore pellets are the main feedstock in ironmaking processes.While extensive research has addressed numerical modeling of the iron ore pellet induration process,little effort has been made to describe the intricate thermochemical processes occurring within the reactor starting from the pellet and particularly at the intra-particle scale.In this regard,discrete-continuous methods like CFD-DEM can generate more realistic,irregular particle assemblies,which leads to significantly more accurate predictions of voidage variation,wall effects,temperature distribution,and associated mass transfer phenomena.This study presents a numerical model based on computational fluid dynamics(CFD)coupled with the discrete element method(DEM)to simulate the thermal induration process of iron ore pellets.The presented model solving heat,mass,and momentum conservation equations for both continuous and discrete phases,provides detailed information on the thermochemical aspects of the process.Pilot-scale indu-ration experiment was conducted to validate model predictions in terms of thermal history and final conversion fraction.It was found that inlet charge specifications,such as particle and pellet size,significantly impact the productivity of pelletizing plants,highlighting the potential of the presented model to optimize the process and improve plant productivity.

CFD-DEMHeat and mass transferIron ore pelletsPowder and pellet sizeModeling

Hafez Amani、Eskandar Keshavarz Alamdari、Mostafa Keshavarz Moraveji、Bernhard Peters

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School of Material Engineering and Advanced Processes,Amirkabir University of Technology(Tehran Polytechnic),424 Hafez Ave,Tehran,15875-4413,Iran

Faculté des Sciences,de la Technologie et Médicine,University of Luxembourg,Campus Kirchberg 6,Rue Coudenhove-Kalergi,Kirchberg L-1359,Luxembourg

Ministry of Science,Research and Technology(MSRT)of Iran

99-4109

2024

颗粒学报(英文版)
中国颗粒学会 中国科学院过程工程研究所

颗粒学报(英文版)

CSTPCD
影响因子:0.632
ISSN:1674-2001
年,卷(期):2024.93(10)