The mechanochemical activation of leaching processes in a disintegrator

The article is devoted to the problem of the completeness of the use of raw materials extracted from the subsoil while minimizing damage to the environment. One of the directions of deep extraction of metals from mineral raw materials by leaching metals with activation of processes in a high-speed mill-disintegrator is detailed. A certificate is given on the use of the first disintegrator in mining. The purpose of the study is indicated as the optimization of the design of a high-speed activator – disintegrator. The phenomenon of changing the properties of a substance during processing in a disintegrator is characterized. The results of the study of the mechanism of increasing activity during the leaching of tailings in a drum mill are presented. The results of a study of indicators of mechanochemical activation of tailings leaching processes in high-speed activators are presented. The quantitative values of the parameters of extraction of metals into solution during leaching of enrichment tailings in a laboratory disintegrator are systematized in comparison with agitation leaching. A new design of the disintegrator with a combination of mechanical activation and thermal exposure is proposed. The possibility of using the disintegrator technology when driving a vertical mine shaft is considered. The results of mechanochemical activation of ore and coal leaching processes with extraction of metals up to 70% of their content in tailings are presented. The problems of mastering the technology with mechanochemical activation of processes with deep utilization of tailings are outlined.

Keywords: ore, enrichment, tailings, disintegrator, leaching, metal, activation, mechanochemistry, ecological, waste, zero waste, sustainable resource use, industrial development.
For citation:

Golik V. I., Kukartsev V. A., Panfilova T. A., Tynchenko V. S., Konyukhov V. Yu. The mechanochemical activation of leaching processes in a disintegrator. MIAB. Mining Inf. Anal. Bull. 2023;(11-1):175-189. [In Russ]. DOI: 10.25018/0236_1493_2023_111_0_175.

Acknowledgements:
Issue number: 11
Year: 2023
Page number: 175-189
ISBN: 0236-1493
UDK: 504.55.054:622(470.6)
DOI: 10.25018/0236_1493_2023_111_0_175
Article receipt date: 06.07.2023
Date of review receipt: 20.09.2023
Date of the editorial board′s decision on the article′s publishing: 10.10.2023
About authors:

V.I. Golik, Dr. Sci. (Eng.), Professor, Moscow Polytechnic University, 107023, Moscow, Russia; North Caucasus State Technological University, 362021, Vladikavkaz, Russia, e-mail: v.i.golik@mail.ru,
ORCID ID: 0000-0002-1181-8452, Elibrary: 497371, Scopus Author ID: 6602135324, ResearcherI D: U-9000-2019,
V.A. Kukartsev1, Cand. Sci. (Eng.), Assistant Professor, Polytechnical School, e-mail: vlad_saa_2000@mail.ru,
T.A. Panfilova1, Cand. Sci. (Eng.), Assistant Professor, School of Petroleum and Natural Gas Engineering, e-mail: tpanfilova@sfu-kras.ru,
V.S. Tynchenko1, Cand. Sci. (Eng.), Assistant Professor, School of Petroleum and Natural Gas Engineering; Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005, Moscow, Russia; Reshetnev Siberian State University of Science and Technology, 660037, Krasnoyarsk, Russia, e-mail: vadimond@mail.ru,
V.Yu. Konyukhov, Cand. Sci. (Eng.), Professor, Assistant Professor, e-mail: konyukhov_vyu@mail.ru, Irkutsk National Research Technical University, 664074, Irkutsk, Russia,
1 Siberian Federal University, 660041, Krasnoyarsk, Russia.

 

For contacts:

V.I. Golik, e-mail: v.i.golik@mail.ru.

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