Study on the Basic Characteristics of Iron Ore Powder with Different Particle Sizes

Li, Zezheng; Li, Yifan; Duan, Yuanshuai; Yang, Aimin; Xu, Zhenghan; Zhi, Jian-Ming

doi:10.3390/min12080973

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…It is influenced by various factors, including pore space size, connectivity, and resistance to gas flow within the particle accumulation present in the blast furnace. The formation mechanism of blast furnace permeability is related to the following factors, as shown in Figure 3 [17][18][19]:…”

Section: Investigation Into the Mechanism Of Blast Furnace Permeabilitymentioning

confidence: 99%

“…The formation mechanism of the blast furnace gas flow involves all aspects of the gas flow in the blast furnace, including the tuyere state, hearth structure, blast furnace charge, furnace temperature, furnace pressure, and other factors. Consequently, there are several interconnected factors between blast furnace permeability and the formation mechanism of blast furnace gas flow [17][18][19][20][21][22][23]. First, the permeability of the blast furnace, whether good or poor, significantly impacts the gas flow within it, influencing the speed and direction of the gas movement.…”

Section: Analysis Of the Coupling Mechanism Between Blast Furnace Per...mentioning

confidence: 99%

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Research and Application of Coupled Mechanism and Data-Driven Prediction of Blast Furnace Permeability Index

Tan,

Li,

Han

et al. 2023

Applied Sciences

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In order to ensure the stable operation of blast furnace production, it is necessary to keep abreast of the trends in the gas permeability index of the blast furnace. As one of the key parameters to be monitored in the process of blast furnace smelting, the gas permeability index directly reflects the performance of the blast furnace in the actual production of the furnace. Continuous monitoring of the permeability index is required in the actual production of the blast furnace in order to effectively guarantee the stable and smooth operation of the blast furnace. The aim of this study is to accurately predict the trend in the blast furnace gas permeability index by constructing an intelligent prediction model and utilizing a data-driven approach to monitor the gas permeability index and ensure the stable operation of the blast furnace. First, based on the actual production data of a #2 blast furnace of an iron and steel enterprise, an isolated forest algorithm is applied to detect and eliminate the outliers in the original data, and then a data driver set is constructed after normalization of the deviation. Second, by analyzing the coupling mechanism between the blast furnace permeability and gas flow, as well as Spearman correlation analysis and MIC maximum information coefficient (MIC) analysis, key parameters are screened out as feature variables from the data-driven set. Finally, a wavelet neural network algorithm is used to construct an intelligent prediction model of the blast furnace gas permeability index. Compared with a BP neural network (BP), a particle swarm-optimized BP neural network (PSO-BP), and XGBoost, the wavelet neural network shows obvious advantages when the error is controlled in the range of ±0.1, and the prediction accuracy can reach 95.71%. The model is applied to the actual production of a #2 blast furnace of an iron and steel enterprise, and the results show that the predicted value of the blast furnace permeability index is highly consistent with the actual value of real-time blast furnace production, which verifies its excellent characteristics.

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Section: Investigation Into the Mechanism Of Blast Furnace Permeabilitymentioning

confidence: 99%

Section: Analysis Of the Coupling Mechanism Between Blast Furnace Per...mentioning

confidence: 99%

Research and Application of Coupled Mechanism and Data-Driven Prediction of Blast Furnace Permeability Index

Tan,

Li,

Han

et al. 2023

Applied Sciences

Self Cite

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show abstract

“…Abundant iron deposits in China, however the majority are of inferior quality, which makes most Chinese enterprises rely on imported iron ore for sintering production, leading China to become the world's largest importer of iron ore [1][2][3]. However, due to regional factors and economic factors, a Chinese iron and steel enterprise rarely uses imported ore powder in sintering production, and the main sintering raw material is locally produced iron ore.…”

Section: Introductionmentioning

confidence: 99%

Dual effect of MgO on softing–melting performance of high gangue sinter: changes of slag viscosity and phase composition

Zhang

Wang

et al. 2023

Ironmaking & Steelmaking

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In this paper, through softening-melting test of sinter with high MgO content produced by iron and steel enterprises, the double influence of high MgO concentration on soft melting performance of sinter was researched. The experimental results show that in the sinter melting process, on the one hand, the slag viscosity will gradually decrease from 0.107 to 0.095 Pa•S at 1540°C with the increase in MgO content in the sinter. On the other hand, with the increase in MgO content, the content of solid oxide in sinter slag at 1540°C increases from 2.41% to 15.31%, the separation of slag and iron at high temperature also makes a large number of MgO elements precipitate out in solid phase, which hinders the flow performance of slag. In addition, the influence amplitude of MgO content on the melting performance of sinter mainly depends on gangue content in sinter.

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Optimization of the Evaluation Method for Bentonite Used in Iron Ore Pelletizing

Mo,

Feng,

Wang

et al. 2024

Metall Mater Trans B

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Study on the Basic Characteristics of Iron Ore Powder with Different Particle Sizes

Cited by 6 publications

References 3 publications

Research and Application of Coupled Mechanism and Data-Driven Prediction of Blast Furnace Permeability Index

Research and Application of Coupled Mechanism and Data-Driven Prediction of Blast Furnace Permeability Index

Dual effect of MgO on softing–melting performance of high gangue sinter: changes of slag viscosity and phase composition

Optimization of the Evaluation Method for Bentonite Used in Iron Ore Pelletizing

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