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Title: Effect of preliminary alkali desilication on ammonia pressure leaching of low-grade copper–silver concentrate
Authors: Karimov, K.
Shoppert, A.
Rogozhnikov, D.
Kuzas, E.
Zakhar’yan, S.
Naboichenko, S.
Issue Date: 2020
Publisher: MDPI AG
Citation: Effect of preliminary alkali desilication on ammonia pressure leaching of low-grade copper–silver concentrate / K. Karimov, A. Shoppert, D. Rogozhnikov, E. Kuzas, et al. . — DOI 10.3390/met10060812 // Metals. — 2020. — Vol. 6. — Iss. 10. — P. 1-17.
Abstract: Ammonia leaching is a promising method for processing low-grade copper ores, especially those containing large amounts of oxidized copper. In this paper, we study the effect of Si-containing minerals on the kinetics of Cu and Ag leaching from low-grade copper concentrates. The results of experiments on the pressure leaching of the initial copper concentrate in an ammonium/ammonium-carbonate solution with oxygen as an oxidizing agent are in good agreement with the shrinking core model in the intra-diffusion mode: in this case, the activation energies were 53.50 kJ/mol for Cu and 90.35 kJ/mol for Ag. Energy-dispersive X-ray spectroscopy analysis (EDX) analysis showed that reagent diffusion to Cu-bearing minerals can be limited by aluminosilicate minerals of the gangue. The recovery rate for copper and silver increases significantly after a preliminary alkaline desilication of the concentrate, and the new shrinking core model is the most adequate, showing that the process is limited by diffusion through the product layer and interfacial diffusion. The activation energy of the process increases to 86.76 kJ/mol for Cu and 92.15 kJ/mol for Ag. Using the time-to-a-given-fraction method, it has been shown that a high activation energy is required in the later stages of the process, when the most resistant sulfide minerals of copper and silver apparently remain. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
metadata.dc.rights: info:eu-repo/semantics/openAccess
SCOPUS ID: 85086659437
WOS ID: 000551928600001
PURE ID: 13145695
ISSN: 2075-4701
DOI: 10.3390/met10060812
metadata.dc.description.sponsorship: Russian Science Foundation, RSF: 0836-2020-0020
Funding: This work was financially supported by the Russian Science Foundation Project No. The SEM-EDX analyses were funded by State Assignment, grant number 0836-2020-0020.
RSCF project card: 18-19-00186
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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