使用 CFD-DEM 耦合方法对铁矿石球团烧制进行实验和数值研究

IF 4.1 2区 材料科学 Q2 ENGINEERING, CHEMICAL Particuology Pub Date : 2024-06-17 DOI:10.1016/j.partic.2024.05.018
Hafez Amani , Eskandar Keshavarz Alamdari , Mostafa Keshavarz Moraveji , Bernhard Peters
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引用次数: 0

摘要

铁矿球团是炼铁工艺的主要原料。虽然对铁矿球团压入过程的数值建模进行了大量研究,但对反应器内从球团开始发生的复杂热化学过程,特别是颗粒内部尺度的热化学过程的描述却很少。在这方面,CFD-DEM 等离散-连续方法可以生成更真实、不规则的颗粒集合体,从而对空隙变化、壁效应、温度分布和相关传质现象进行更准确的预测。本研究提出了一种基于计算流体动力学(CFD)和离散元素法(DEM)的数值模型,用于模拟铁矿石球团的热压 缩过程。该模型解决了连续相和离散相的热量、质量和动量守恒方程,提供了该过程热化学方面的详细信息。为验证模型在热历史和最终转化率方面的预测,进行了中试规模的压延实验。实验发现,颗粒和球团大小等入口装料规格对造粒设备的生产率有显著影响,这凸显了该模型在优化工艺和提高设备生产率方面的潜力。
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Experimental and numerical investigation of iron ore pellet firing using coupled CFD-DEM method

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 induration 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.

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来源期刊
Particuology
Particuology 工程技术-材料科学:综合
CiteScore
6.70
自引率
2.90%
发文量
1730
审稿时长
32 days
期刊介绍: The word ‘particuology’ was coined to parallel the discipline for the science and technology of particles. Particuology is an interdisciplinary journal that publishes frontier research articles and critical reviews on the discovery, formulation and engineering of particulate materials, processes and systems. It especially welcomes contributions utilising advanced theoretical, modelling and measurement methods to enable the discovery and creation of new particulate materials, and the manufacturing of functional particulate-based products, such as sensors. Papers are handled by Thematic Editors who oversee contributions from specific subject fields. These fields are classified into: Particle Synthesis and Modification; Particle Characterization and Measurement; Granular Systems and Bulk Solids Technology; Fluidization and Particle-Fluid Systems; Aerosols; and Applications of Particle Technology. Key topics concerning the creation and processing of particulates include: -Modelling and simulation of particle formation, collective behaviour of particles and systems for particle production over a broad spectrum of length scales -Mining of experimental data for particle synthesis and surface properties to facilitate the creation of new materials and processes -Particle design and preparation including controlled response and sensing functionalities in formation, delivery systems and biological systems, etc. -Experimental and computational methods for visualization and analysis of particulate system. These topics are broadly relevant to the production of materials, pharmaceuticals and food, and to the conversion of energy resources to fuels and protection of the environment.
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