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Optimal proportioning of iron ore in sintering process based on improved multi-objective beluga whale optimisation algorithm

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Journal of iron and Steel Research(International) 2024年第7期31卷 1597-1609页

作者： Zong-ping Li Xu-dong Li Xue-tong Yan Wu Wen Xiao-xin Zeng Rong-jia Zhu Ya-hui Wang Ling-zhi Yi Zhongye Changtian International Engineering Co. Ltd.Changsha 410205HunanChina College of Automation and Electronic Information Xiangtan UniversityXiangtan 411105HunanChina College of Electrical and Information Engineering Hunan UniversityChangsha 410082HunanChina

Proportioning is an important part of sintering,as it affects the cost of sintering and the quality of sintered *** address the problems posed by the complex raw material information and numerous constraints in the sintering process,a multi-objective optimisation model for sintering proportioning was established,which takes the proportioning cost and TFe as the optimisation ***,an improved multi-objective beluga whale optimisation(IMOBWO)algorithm was proposed to solve the nonlinear,multi-constrained multi-objective optimisation *** algorithm uses the con-strained non-dominance criterion to deal with the constraint problem in the ***,the algorithm employs an opposite learning strategy and a population guidance mechanism based on angular competition and two-population competition strategy to enhance convergence and population *** actual proportioning of a steel plant indicates that the IMOBWO algorithm applied to the ore proportioning process has good convergence and obtains the uniformly distributed Pareto ***,compared with the actual proportioning scheme,the proportioning cost is reduced by 4.3361¥/t,and the TFe content in the mixture is increased by 0.0367%in the optimal compromise ***,the proposed method effectively balances the cost and total iron,facilitating the comprehensive utilisation of sintered iron ore resources while ensuring quality assurance.

关键词： Sintering process Proportioning iron ore Multi-objective beluga whale optimisation algorithm Proportioning cost

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Insight into the Origin of iron ore Based on Elemental Contents of Magnetite and Whole-Rock Geochemistry:A Case of the Bipindi Banded iron Formations,Nyong Complex,SW Cameroon

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Journal of Earth Science 2024年第1期35卷 16-28页

作者： Landry Soh Tamehe Huan Li Sylvestre Ganno Zuxing Chen Yanick Brice Lemdjou Safiyanu Muhammad Elatikpo School of Geosciences and Info-Physics Central South UniversityChangsha 410083China Department of Earth Sciences University of Yaounde IYaounde 3412Cameroon Institute of Oceanology Chinese Academy of SciencesQingdao 266071China Department of Geology Ahmadu Bello University ZariaZaria 810107Nigeria

The Bipindi iron ore district is located in the central section of the Nyong Complex at the northwestern margin of the Congo Craton in Southwest *** iron district contains numerous iron mineralization hosted by the Mewongo,Bibole,Kouambo,and Zambi banded iron formations(BIFs).These BIFs contain magnetite as the main iron ore mineral associated with pyrite,and gangue minerals are quartz with minor chlorite and *** origin of iron ore from these BIFs was investigated using a combination of in-situ magnetite and whole-rock *** studied BIF ore samples have a narrow range of TFe between 30.90 wt.%and 43.20 wt.%,indicating a low-grade *** geochemical signatures of magnetite such as low contents of base metals(e.g.,Cu,Co,V,and Zn)and low Co/Zn ratios600 and>75,respectively),we suggest that magnetite was derived from a mixture of seawater and~0.1%low-temperature hydrothermal fluids in an oxidizing ***,low-temperature hydrothermal and later metamorphic fluids were necessary for the transformation of the protolith Nyong Complex BIFs to iron ore.

关键词： banded iron formations iron ore geochemistry Congo Craton trace element composition LA-ICP-MS

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Proposing a machine learning approach to analyze and predict basic high-temperature properties of iron ore fines and its factors

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Journal of iron and Steel Research(International) 2024年第5期31卷 1082-1094页

作者： Qing-ke Sun Yao-zu Wang Jian-liang Zhang Zheng-jian Liu Le-le Niu Chang-dong Shan Yun-fei Ma Institute of Artificial Intelligence University of Science and Technology BeijingBeijing100083China School of Intelligence Science and Technology University of Science and Technology BeijingBeijing100083China School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing100083China

The basic high-temperature properties of iron ore play a crucial role in optimizing sintering and ore blending,but the testing process for these properties is complex and has significant lag time,which cannot meet the actual needs of ore blending.A prediction model for the basic high-temperature properties of iron ore fines was thus proposed based on a combination of machine learning algorithms and genetic ***,the prediction accuracy of different machine learning models for the basic high-temperature properties of iron ore fines was ***,a random forest model optimized by genetic algorithms was built,further improving the prediction accuracy of the *** test results show that the random forest model optimized by genetic algorithms has the highest prediction accuracy for the lowest assimilation temperature and liquid phase fluidity of iron ore,with a determination coefficient of 0.903 for the lowest assimilation temperature and 0.927 for the liquid phase fluidity after *** trained model meets the fluctuation requirements of on-site testing and has been successfully applied to actual production on site.

关键词： iron ore Basic high-temperature property Machine learning Random forest Genetic algorithm

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Effect mechanism of aluminum occurrence and content on the induration characteristics of iron ore pellets

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International Journal of Minerals,Metallurgy and Materials 2023年第12期30卷 2334-2346页

作者： Hongyu Tian Deqing Zhu Jian Pan Congcong Yang Weiqun Huang Mansheng Chu School of Metallurgy Northeastern UniversityShenyang 110819China School of Minerals Processing and Bioengineering Central South UniversityChangsha 410083China Ecological Geology Brigade of Jiangxi Geological Bureau Nanchang 330030China Engineering Research Center of Frontier Technologies for Low-carbon Steelmaking(Ministry of Education) Shenyang 110819China

With the intensified depletion of high-grade iron ores,the increased aluminum content in iron ore concentrates has become unavoidable,which is detrimental to the pelletization ***,the effect mechanism of aluminum on pellet quality must be *** this study,the influence of aluminum occurrence and content on the induration of hematite(H)and magnetite(M)pellets was investigated through the addition of corresponding Al-containing additives,including alumina,alumogoethite,gibbsite,and *** mineralogical analysis,combined with the thermodynamic properties of different aluminum occurrences and the quantitative characterization of consolidation behaviors,were conducted to determine the related *** results showed that the alumina from various aluminum occurrences adversely affected the induration characteristics of pellets,especially at an aluminum content of more than 2.0wt%.The thermal decomposition of gibbsite and kaolinite tends to generate internal stress and fine cracks,which hinder the respective microcrystalline bonding and recrystallization between *** adverse effect on the induration characteristics of fired pellets with different aluminum occurrences can be relieved to varying degrees through the formation of liquid phase bonds between the hematite *** is more beneficial to the induration process than the other three aluminum occurrences because of the formation of more liquid phase,which improves pellet *** research results can further provide insights into the effect of aluminum occurrence and content in iron ore concentrates on downstream processing and serve as a guide for the utilization of high-alumina iron ore concentrates in pelletization.

关键词： iron ore pellet aluminum occurrence consolidation behavior element migration

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Investigation on the granulation behavior of iron ore fine in a horizontal high-shear granulator

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Particuology 2022年第9期20卷 57-64页

作者： Yang You Jiabao Guo Gang Li Zhuang Zheng Yong Li Yaowei Yu Xuewei Lv College of Materials Science and Engineering Chongqing UniversityChongqing 400044China Chongqing Key Laboratory of Vanadium-Titanium Metallurgy and New Materials Chongqing UniversityChongqing 400044China State Key Laboratory of Advanced Special Steel Shanghai Key Laboratory of Advanced FerrometallurgySchool of Materials Science and EngineeringShanghai UniversityShanghai 200444China State Key Laboratory of Mechanical Transmissions Chongqing UniversityChongqing 400044China

High-shear granulation is widely used in many particulate industries for its good capability to improve the size,strength and composition uniformity of powder *** work conducted an experimental study to investigate the granulation behavior of iron ore fine in a horizontal high-shear granulator,such as granules size distribution,granules growth rate,and permeability of the granules *** results show that the granule size and permeability of packed granules bed increase gradually with increasing the granulation time,and the growth of granules can be divided into three stages:the rapid growth stage,the slow growth stage and the relatively stable *** the higher rotational speed and larger number of impellers increase the kinetic energy and collision frequency of the particles,which causes the increase of average granule size,growth rate and permeability of granules packed *** the other hand,the shear damage effect of the impellers on the granules is also enhanced with the increase of rotational speed and impeller number,resulting in significant granule size segregation.

关键词： High shear granulation iron ore Particle Size distribution

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Fracture characteristics of iron ore under uncoupled blast loading

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International Journal of Mining Science and Technology 2022年第4期32卷 657-667页

作者： Jinjing Zuo Renshu Yang Min Gong Xinmin Ma Yanbing Wang School of Civil and Resource Engineering University of Science and Technology BeijingBeijing 100083China State Key Laboratory for Geomechanics and Deep Underground Engineering(Beijing) Beijing 100083China School of Mechanics and Civil Engineering China University of Mining and Technology-BeijingBeijing 100083China

A blasting experiment was conducted on iron ore samples by considering multiple coupling charge *** resulting internal fracture and damage characteristics were quantitatively analyzed via computerized tomography(CT),scanning,and three-dimensional(3D)model *** results show that the iron ore primarily displayed radial and circumferential cracks along the blast hole under an explosive *** the decoupling coefficient was small,the crack surface was dominated by transgranular fractures in the form of intracrystalline *** the uncoupling coefficient increased,the crack surface exhibited transgranular and intergranular coupled fracture *** fractal theory to analyze crack distribution characteristics,as the decoupled coefficient increased,the body fractal dimension tended to decrease,and the degree of damage gradually *** degree of damage reached a turning point when the decoupling charge coefficient was approximately 1.33.A numerical simulation suggested that the explosion energy transmitted to the iron ore and the effective stress decrease sharply when the decoupling coefficient exceeds *** some optimal uncoupling coefficient range,excessive fragmentation of the ore body is prevented,thereby allowing full use of the explosive energy.

关键词： Blasting iron ore X-ray CT Damage evolution Fractal dimension

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Effects of process parameters on the growth behavior and granule size distribution of iron ore mixtures in a novel high-shear granulator

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International Journal of Minerals,Metallurgy and Materials 2022年第12期29卷 2152-2161页

作者： Yang You Jiabao Guo Gang Li Zhuang Zheng Yong Li Xuewei Lü College of Materials Science and Engineering Chongqing UniversityChongqing 400044China Chongqing Key Laboratory of Vanadium–Titanium Metallurgy and New Materials Chongqing UniversityChongqing 400044China

This work proposes a novel horizontal high-shear granulator for iron ore granulation before sintering *** granulation behavior such as growth process and structure of granules were firstly analyzed,followed by the effects of operation conditions such as water content,initial particle size distribution,and the concentrate *** results show that the granule size increased significantly with increasing the granulation time,and the structure of granule can be divided into three types:non-nuclei,single-nuclei,and *** promotes the coalescence and growth of particles,and a better granulation performance was obtained at the water content of 8.8wt%under the current raw material *** the nuclei particle ratio led to an increase in average size of granules and permeability of the granules bed,but a decrease in growth ***,with increasing of concentrate ratio,granulation performance such as granule size,bed permeability,and uniformity became worse.

关键词： horizontal high-shear granulation iron ore granule structure granulation performance size distribution

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Influence of initial iron ore particle size on CO2 gasification behavior and strength of ferro-coke

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Journal of iron and Steel Research(International) 2020年第8期27卷 875-886页

作者： Run-sheng Xu Shu-liang Deng Heng Zheng Wei Wang Ming-ming Song Wei Xu Fang-fang Wang State Key Laboratory of Refractories and Metallurgy Wuhan University of Science and TechnologyWuhan 430081HubeiChina Chair of Metallurgy Montanuniversitat LeobenLeoben A-8700Austria Wuhan iron and Steel Co. Ltd.Wuhan 430081HubeiChina School of Energy and Power Engineering Beihang UniversityBeijing 100191China Ningbo Institute of Technology Beihang UniversityNingbo 315800ZhejiangChina

Highly reactive ferro-coke has been widely studied due to its contribution to the energy saving and emission reduction in blast furnace ironmaking. To optimize the coking process of ferro-coke and improve its metallurgical properties, it is necessary to clarify the influence of initial iron ore on the strength, micro-morphology and CO2 gasification reaction behavior of formed ferro-coke. The effects of initial iron ore particle size (0.50–1.00, 0.25–0.50 and 0.074–0.125 mm) on the CO2 gasification reaction of ferro-coke were analyzed using thermo-analysis technique. In addition, the effects of initial iron ore particle size on the strength and morphology of ferro-coke were investigated by drum test, digital microscopy and scanning electron micro-scopy. The results show that iron reduced from iron ore has a great promotion effect on the CO2 gasification reaction of ferro-coke. The smaller the particle size of initial iron ore, the more intense the gasification reaction, and the lower the starting temperature for gasification reaction of ferro-coke. The results of kinetic calculation show that the apparent activation energy of ferro-coke decreases with the decreasing particle size of blended iron ore. The particle size of initial iron ore has a great impact on the strength of ferro-coke. The ferro-coke prepared by 0.25–0.50 mm iron ore presents the best strength in this experiment.

关键词： Ferro-coke iron ore Particle size Strength Gasification reaction

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Coupling effect and characterization modeling of iron ore fines mixing and granulating at 0-1 mm

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Journal of iron and Steel Research(International) 2019年第11期26卷 1154-1161页

作者： Dai-fei Liu Xian-ju Shi Chao-jun Tang Hai-peng Cao Jun Li School of Energy and Power Engineering Changsha University of Science and TechnologyChangsha 410114HunanChina ironmaking Section Wuhan Branch of Baosteel Central Research Institute(R&D Center of Wuhan Iron&Steel Co.Ltd.)Wuhan 430000HubeiChina

Characteristic of iron ore is the essential factor of *** ores,namely specularite,magnetite concentrate and limonite,were selected as adhesion powder to investigate granulating behavior and evolution process of *** and modeling were performed to represent granulating behavior on the basis of selectivity,ballability and adhesion *** mass fraction of water and particles size of adhesion and nucleation were set at(11±1)%,0-1 mm and 3-5 mm,*** results show that selectivity and ballability promote the evolution of *** water absorption rate of specularite and the ballability of limonite are *** coupling effects exist in two ores mixing and present positive effect when the proportion of magnetite concentrate is greater than that of specularite or specularite and limonite *** three ores mixing,the coupling effect presents a complex superposition state.A characterization model of adhesion rate of mixing granulation was established by random forest *** output is adhesion rate,and its inputs include water absorption rate,balling index and mixing *** model parameters are 957 trees and four branches,and the training and prediction errors of the model are 2.3%and 3.7%,*** indicates that the random forest model can be used to represent coupling effects of mixing granulation.

关键词： iron ore Granulating Coupling effect Modeling Random forest algorithm

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Reduction of 1-3 mm iron ore by H_2 in a fluidized bed

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International Journal of Minerals,Metallurgy and Materials 2009年第6期16卷 620-625页

作者： Jian-ming Pang Pei-min Guo Pei Zhao Chao-zhen Cao Ding-guo Zhao Duo-gang Wang The State Key Laboratory for Advanced Steel Processes and Materials Central Iron and Steel Research Institute Beijing 100081 China

The reduction of 1-3 mm fine powder of iron ore by H2 was conducted in a lab-fabricated kg class high temperature fluidized bed. The results show that the differential pressure in the fluidized bed, which has small fluctuation with time, increases with the increase of gas flowing velocity. The utilization ratio of gas decreases when the reaction lasts longer time indicating that the reaction is faster at the beginning of reduction and becomes slower in the latter process. The higher the reaction temperature is, the higher the utilization ratio of gas is, but the difference of utilization ratio among the different temperatures becomes smaller with time. The utilization ratio of gas and the metallization ratio can reach 9% and 84% respectively at 750℃ for 20 min, which shows the reduction reaction by H2 is very fast. The increase of metallization ratio with gas velocity performs quite good linearity, which shows that a higher velocity of reducing gas can be used to improve the productivity of the reactor when H2 is used as reducing gas. With the increase of charge height, the metallization ratio decreases, but the utilization ratio of gas increases. The reaction temperature can be reduced to 700-750℃ from 800-850℃ when H2 is used as reducing gas.

关键词： hydrogen fluidized bed fine powder iron ore ironmaking reduction reaction

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