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author:

Chen, K. (Chen, K..) [1] | Liu, L. (Liu, L..) [2] | Zuo, W. (Zuo, W..) [3] | Yin, W. (Yin, W..) [4] | Sheng, Q. (Sheng, Q..) [5] | Yao, J. (Yao, J..) [6]

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Abstract:

It is important to investigate the liberation properties of gangue minerals and establish liberation models for low-grade iron ores to reject gangue early. In this study, three types of iron ores from different iron deposits were ground to different particle size distributions by locked-cycle grinding and batch grinding. The liberation distribution of quartz, the most dominant gangue mineral among the three types of iron ores, was tested by Mineral Liberation Analyzer (MLA). Afterward, the liberation distribution of the three types of quartz was fitted using the beta distribution function, and their shape parameters were related to particle sizes to develop the liberation model. MLA test results showed that the liberation distribution of quartz with different grinding methods was basically the same. The developed liberation model predicted the liberation distribution of quartz in low-grade iron ores from different iron deposits well, and its coefficient of determination (R 2) was between 0.90 and 0.98. This study deepens the understanding of the liberation rules of quartz in low-grade iron ores from different iron deposits, and on this basis, a more efficient liberation model based on the beta distribution function is developed. © 2023, Society for Mining, Metallurgy & Exploration Inc.

Keyword:

Different iron deposits Liberation distribution Liberation modeling Quartz

Community:

  • [ 1 ] [Chen K.]School of Resources and Civil Engineering, Northeastern University, Shenyang, 110819, China
  • [ 2 ] [Liu L.]Ansteel Beijing Research Institute CO., LTD., Beijing, 102200, China
  • [ 3 ] [Zuo W.]Zijin School of Geology and Mining, Fuzhou University, Fujian, Fuzhou, 350108, China
  • [ 4 ] [Yin W.]School of Resources and Civil Engineering, Northeastern University, Shenyang, 110819, China
  • [ 5 ] [Sheng Q.]College of Chemistry and Chemical Engineering, Xi’an University of Science and Technology, Xi’an, 710054, China
  • [ 6 ] [Yao J.]School of Resources and Civil Engineering, Northeastern University, Shenyang, 110819, China

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Source :

Mining, Metallurgy and Exploration

ISSN: 2524-3462

Year: 2023

Issue: 6

Volume: 40

Page: 2495-2504

1 . 5

JCR@2023

1 . 5 0 0

JCR@2023

JCR Journal Grade:3

CAS Journal Grade:4

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WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 2

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