Study of slag formation behavior in iron ore pellets based on thermodynamic calculations and experiments

IF 1.9 3区 材料科学 Q4 CHEMISTRY, PHYSICAL Calphad-computer Coupling of Phase Diagrams and Thermochemistry Pub Date : 2024-09-01 DOI:10.1016/j.calphad.2024.102729
Zheng-jian Liu , Li-ming Ma , Jian-liang Zhang , Yao-zu Wang , Qiu-ye Cai , Hui-qing Jiang , Ze-dong Zhang
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Abstract

To investigate the mechanism of slag formation during pellet consolidation, we combined thermodynamic calculations and experimental methods to study the effects of roasting temperature, basicity, and SiO2 content on slag formation. The results indicate that as the temperature increases, the solid phases clinopyroxene, orthopyroxene, and melilite transform into slag within the pellet. The roasting temperature and basicity of slags formed by different particles varied considerably. At 1250 °C, the slag content is less than 5 % in low-silica fluxed pellets, less than 15 % in medium-silica fluxed pellets, and up to approximately 20 % in high-silica fluxed pellets. Phase diagram analysis showed that CaFe2O4 and Ca2Fe2O5 formed in the pellet due to basicity differences SEM-EDS analysis showed that the slag in fluxed pellets primarily comprises the silicates Ca3Fe2(SiO4)3 and (Mg, Fe)2SiO4, as well as ferrate. The slag is distributed in a reticulated pattern within the pellets, with some quartz remaining undissolved in the slag phase and existing independently in pores.

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基于热力学计算和实验的铁矿球团造渣行为研究
为了研究球团固结过程中熔渣的形成机理,我们结合热力学计算和实验方法,研究了焙烧温度、碱性和二氧化硅含量对熔渣形成的影响。结果表明,随着温度的升高,球团内的固相cllinopyxene、orthopyxene和melilite会转变为熔渣。不同颗粒形成的熔渣的焙烧温度和碱性差异很大。在 1250 °C 时,低硅通量球团中的熔渣含量低于 5%,中硅通量球团中的熔渣含量低于 15%,而高硅通量球团中的熔渣含量高达约 20%。相图分析表明,由于碱性差异,球团中形成了 CaFe2O4 和 Ca2Fe2O5 SEM-EDS 分析表明,助熔球团中的熔渣主要由硅酸盐 Ca3Fe2(SiO4)3 和 (Mg,Fe)2SiO4 以及铁酸盐组成。熔渣在球团中呈网状分布,部分石英仍未溶解在熔渣相中,而是独立存在于孔隙中。
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来源期刊
CiteScore
4.00
自引率
16.70%
发文量
94
审稿时长
2.5 months
期刊介绍: The design of industrial processes requires reliable thermodynamic data. CALPHAD (Computer Coupling of Phase Diagrams and Thermochemistry) aims to promote computational thermodynamics through development of models to represent thermodynamic properties for various phases which permit prediction of properties of multicomponent systems from those of binary and ternary subsystems, critical assessment of data and their incorporation into self-consistent databases, development of software to optimize and derive thermodynamic parameters and the development and use of databanks for calculations to improve understanding of various industrial and technological processes. This work is disseminated through the CALPHAD journal and its annual conference.
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