Recent progress and potential challenges in coal upgrading via gravity dry separation technologies

Zhou, Chenyang; Liu, Xibo; Zhao, Yuemin; Yang, Xuliang; Li, Yanjiao; Dong, Liang; Chen, Duan; Rao, Zhonghao

doi:10.1016/j.fuel.2021.121430

Cited by 33 publications

(16 citation statements)

References 139 publications

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“…The analysis showed that the size ratio limit between higher and lower density particles should be less than 1:4 to eliminate the particle mixing which reduces the separation efficiency. The analysis indicated also that the optimum air velocity is 1202-1252 m/s with an optimum pulsating air frequency of 3-4 Hz [52,56].…”

Section: Current Development In Air Jigmentioning

confidence: 93%

Section: Recent Trends In Dry Separation Technologiesmentioning

confidence: 99%

“…Dry separation technologies have gained more attention than wet technologies in recent years to avoid water consumption, slimes issues in water, solid dewatering problems, and water recycling necessities [52]. Thus, varieties of countries such as China, India, and Turkey have applied new rules to inspire the growth of dry separation technologies instead of wet separation ones [52]. The recent trends in the existing dry separation technologies and the associated basic principles have been thoroughly summarized, and the major dry density-based segregation technologies are shown in Fig.…”

Section: Recent Trends In Dry Separation Technologiesmentioning

confidence: 99%

“…A semi-industrial air jig of 300 kg/h capacity was developed in Germany to process coal samples from several countries such as Turkey, Brazil, and Germany. Whereas an industrial air jig of 50-120 t/h capacity was built in the United States [52].…”

Section: Recent Industrial Applications Of Air Jigmentioning

confidence: 99%

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Recent Trends in Mineral Processing Based on Density and Particle Size – A review

Sobhy¹

2022

International Journal of Materials Technology and Innovation

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Most mineral beneficiation development in the world focus on size and density-based separation technologies. In recent years, ore size-based and density-based separation technologies have attracted more consideration to obtaining rough or final highquality products. Due to the dissimilarity of physical properties like particle size and density, valuable and gangue minerals can be segregated via size-based and density-based separation technologies. Removing the impurities and recovering the target minerals are accomplished by size-based separation technologies alone or are usually followed by cleaning processes utilizing density-based separation abilities. The density variation among valuable and gangue minerals leads to dissimilarities in settling velocity in a fluid medium (air or water) to promote the density-based separation process. In addition, the effect of densitybased separation processes is strongly influenced by the range of particle sizes to be treated. This paper thoroughly reviews the literature on recent advances in various gravity and sizing separation technologies, such as cyclones, enhanced wet separation, and dry separation from theoretical and technical aspects.

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Section: Current Development In Air Jigmentioning

confidence: 93%

Section: Recent Trends In Dry Separation Technologiesmentioning

confidence: 99%

Section: Recent Trends In Dry Separation Technologiesmentioning

confidence: 99%

Section: Recent Industrial Applications Of Air Jigmentioning

confidence: 99%

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Recent Trends in Mineral Processing Based on Density and Particle Size – A review

Sobhy¹

2022

International Journal of Materials Technology and Innovation

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“…Gangue [ 3 ], which is a companion of coal mining, is a kind of stone with low combustion value or even non-combustibility. Therefore, it is necessary to separate coal gangue from raw coal [ 4 , 5 ]. China’s coal industry has entered a new stage of intellectualization [ 6 ], which makes the intelligent separation of coal gangue more and more meaningful.…”

Section: Introductionmentioning

confidence: 99%

Coal gangue recognition based on spectral imaging combined with XGBoost

Zhou

Lai

2023

PLoS ONE

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The identification of coal gangue is of great significance for its intelligent separation. To overcome the interference of visible light, we propose coal gangue recognition based on multispectral imaging and Extreme Gradient Boosting (XGBoost). The data acquisition system is built in the laboratory, and 280 groups of spectral data of coal and coal gangue are collected respectively through the imager. The spectral intensities of all channels of each group of spectral data are averaged, and then the dimensionality is reduced by principal component analysis. XGBoost is used to identify coal and coal gangue based on the reduced dimension spectral data. The results show that PCA combined with XGBoost has the relatively best classification performance, and its recognition accuracy of coal and coal gangue is 98.33%. In this paper, the ensemble-learning algorithm XGBoost is combined with spectral imaging technology to realize the rapid and accurate identification of coal and coal gangue, which is of great significance to the intelligent separation of coal gangue and the intelligent construction of coal mines.

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An alternative approach to improve the compatibility of PCE in cement paste blend with coal gangue powder

Xie,

Li,

Sun

et al. 2023

Waste Dispos. Sustain. Energy

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Recent progress and potential challenges in coal upgrading via gravity dry separation technologies

Cited by 33 publications

References 139 publications

Recent Trends in Mineral Processing Based on Density and Particle Size – A review

Recent Trends in Mineral Processing Based on Density and Particle Size – A review

Coal gangue recognition based on spectral imaging combined with XGBoost

An alternative approach to improve the compatibility of PCE in cement paste blend with coal gangue powder

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