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Process mineralogy of Dalucao rare earth ore and design of beneficiation process based on AMICS

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Abstract

The test results of the automated mineral identification and characterization system (AMICS), including the mineral composition, particle size distribution, dissemination state and degree of liberation of the target minerals, could be used to improve the beneficiation process. Taking the Dalucao rare earth ore located in Dechang, Sichuan Province, China (with an average content of 2.40 wt%) as the research object in this paper, the chemical composition, phase composition and dissemination state of the minerals were tested by AMICS, and the minerals of different fineness were ground. The concentrate yield, grade and recovery rate of the minerals of different fineness were compared through flotation tests. When the grinding lasted for 5 min and 82.60% of mineral grains passed through the − 74-μm sieve, the yield, grade and recovery rate could reach 20.19%, 8.75% and 73.64%, respectively (as the best grinding fineness), under the same flotation conditions.

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Acknowledgements

This study was financially supported by the Science and Technology Support Project in Sichuan (No. 2017GZ0400))

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Authors and Affiliations

  1. School of Materials and Chemistry and Chemical Engineering, Chengdu University of Technology, Chengdu, 610059, China

    Yu Jiao, Ke-Hui Qiu, Pei-Cong Zhang, Jun-Feng Li, Wen-Tao Zhang & Xian-Fei Chen

  2. School of Science, Xichang University, Xichang, 615000, China

    Yu Jiao

  3. Institute of Materials Science and Technology, Chengdu University of Technology, Chengdu, 610059, China

    Ke-Hui Qiu

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  1. Yu Jiao
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Correspondence to Ke-Hui Qiu.

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Jiao, Y., Qiu, KH., Zhang, PC. et al. Process mineralogy of Dalucao rare earth ore and design of beneficiation process based on AMICS. Rare Met. 39, 959–966 (2020). https://doi.org/10.1007/s12598-020-01446-w

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  • DOI: https://doi.org/10.1007/s12598-020-01446-w

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