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International Journal of Coal Preparation and Utilization Volume 42, 2022 - Issue 7
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Challenges of using froth features to predict clean coal ash content in coal flotation

Jiakun TanKey Laboratory of Coal Processing & Efficient Utilization of Ministry of Education, School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou, ChinaView further author information
,
Long LiangKey Laboratory of Coal Processing & Efficient Utilization of Ministry of Education, School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou, ChinaCorrespondence[email protected]
View further author information
,
Yaoli PengKey Laboratory of Coal Processing & Efficient Utilization of Ministry of Education, School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou, ChinaView further author information
&
Guangyuan XieKey Laboratory of Coal Processing & Efficient Utilization of Ministry of Education, School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou, ChinaView further author information
Pages 1991-2027 | Received 23 Jun 2019, Accepted 28 Jun 2020, Published online: 12 Jul 2020

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Read on this site (2)

Milan Chattopadhyay, Amrit Anand & Shalini Gautam. (2023) A comparative evaluation of co-gasification of blends of low grade and washed coals with high-rank coal in a fixed bed reactor. International Journal of Coal Preparation and Utilization 0:0, pages 1-18.
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Jiakun Tan, Long Liang, Yaoli Peng & Guangyuan Xie. (2022) Correction of froth gray value in the prediction of clean coal ash content in coal flotation. International Journal of Coal Preparation and Utilization 42:9, pages 2742-2755.
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Articles from other publishers (1)

Xianwu Huang, Yuxiao Wang, Haili Shang & Jinshan Zhang. (2023) Multiscale Convolutional Network for Repairing Coal Slime Foam Images. ACS Omega 8:10, pages 9547-9554.
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