Study on liquid phase formation and fluidity of iron ores

Yao, Lu; Ren, Shan; Wang, Xiaoqing; Liu, Qingcai; Zhang, Jianliang; Su, Buxin

doi:10.1051/metal/2016062

Cited by 11 publications

(2 citation statements)

References 4 publications

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“…The ore-forming process of sinter is that some low-melting substances and low-melting substances produced by solid-phase reactions during the sintering process are melted into liquid phase under the action of high temperature, and the liquid phase solidifies in the subsequent cooling process to become the strong connection of solid particles that have not been melted and particles that have dissolved into the liquid phase [ 1 ]. Against the background of the utilization of low-quality raw materials faced by China's steel industry with large total output but increasingly depleted mineral resources, sinter mineralization research has important theoretical and application value in elucidating the sintering ore-forming mechanism and improving the metallurgical properties of sinter.…”

Section: Introductionmentioning

confidence: 99%

Research on the Formation Mechanism of MgO and Al2O3 on Composite Calcium Ferrite Based on DA-RBF Neural Network

Zhang

2022

Computational Intelligence and Neuroscience

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Calcium complex ferrate is an ideal binder phase in the sintered ore phase, and a detailed study of the whole process of calcium complex ferrate generation is of great significance to improve the quality of sintered ore. In this paper, we first investigated calcium ferrate containing aluminum (CFA), which is an important precursor compound for the generation of complex calcium ferrate (SFCA), followed by a series of composite calcium ferrate generation process phase XRD detections and data preprocessing of data. Data correlation and data fitting analysis were combined with composite calcium ferrite phase diagram energy spectrum analysis to obtain the effect of MgO and Al2O3 on the formation of composite calcium ferrite. Then a modified RBF neural network model using the resource allocation network algorithm (RAN) was used to predict the generation trend of complex calcium ferrate. The parameters of the neural network are optimized with the Dragonfly algorithm, compared with the traditional RBF neural network. The prediction accuracy of the improved algorithm was found to be higher, with a prediction result of 97.6%. Finally, the predicted results were based on comparative metallurgical experimental results and data analysis. The validity and accuracy of the findings in this paper were verified.

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Section: Introductionmentioning

confidence: 99%

Research on the Formation Mechanism of MgO and Al2O3 on Composite Calcium Ferrite Based on DA-RBF Neural Network

Zhang

2022

Computational Intelligence and Neuroscience

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“…Many researchers have studied the self-fluidity of the primary liquid phase and effects of influencing factors, such as the type and particle size of iron ore and fluxing materials, chemical components of iron ore, basicity of the adhering fines, sintering temperature and soaking time [4][5][6][7][8][9][10][11]. However, the bonding strength of the sinter is not only related to the self-fluidity of the primary liquid phase, but also associated with the assimilation between the primary liquid phase and nuclei ore. For this reason, the penetration behaviours of CaO-Fe 2 O 3 system liquid phase (26, 20 and 15 wt-% CaO) on different nuclei ores were studied; the effects of surface morphology, size, porosity, density, iron mineral type and chemical composition of the nuclei ores and soaking time on the penetration behaviour were also investigated [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Flow and penetration behaviours of liquid phase on iron ore substrate and their effects on bonding strength of sinter

Zhai

Zhou

et al. 2018

Ironmaking & Steelmaking

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The flow and penetration behaviours of the liquid phase on nuclei ore play crucial roles in the bonding of the sinter. In this study, the flow and penetration tests of the liquid phase and simulation tests were conducted to study the effects of SiO 2 and Al 2 O 3 contents of the adhering fines on the flow area (FA) and maximum penetration depth (MPD) through the micro-sintering method. The effects of the FA and MPD on the bonding strength of the sinter were investigated by a bonding test of quasiparticles. The results show that during the assimilation between the primary liquid phase and haematite ore, the gangues dissolve in the primary liquid phase, promoting the transformation of quasi-calcium ferrite into quasi-calcium silicate liquid. After solidification and precipitation, the two liquids turn into the silico-ferrite of calcium and aluminium and Fe 2 O 3 -bearing silicates. Increasing SiO 2 or Al 2 O 3 content decreases the FA by raising the viscosity of the primary liquid phase. However, it increases the MPD by reducing the quaternary basicity of the adhering fines and elevating the wettability of the liquid phase. The FA has a positive effect on the bonding strength of the sinter, whereas the effect of the MPD may be indirectly negative.

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Evaluation of the Liquid Phase Fluidity During Iron Ore Sintering

Zhao

Xin

et al. 2020

The Minerals, Metals &Amp; Materials Series

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Study on liquid phase formation and fluidity of iron ores

Cited by 11 publications

References 4 publications

Research on the Formation Mechanism of MgO and Al2O3 on Composite Calcium Ferrite Based on DA-RBF Neural Network

Research on the Formation Mechanism of MgO and Al2O3 on Composite Calcium Ferrite Based on DA-RBF Neural Network

Flow and penetration behaviours of liquid phase on iron ore substrate and their effects on bonding strength of sinter

Evaluation of the Liquid Phase Fluidity During Iron Ore Sintering

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