Журналы →  Gornyi Zhurnal →  2026 →  №4 →  Назад

FROM THE OPERATIONAL EXPERIENCE OF THE MINING COMPANIES AND THE ORGANIZATION
INSTITUTE OF SUBSURFACE RESOURCE MANAGEMENT, IRKUTSK NATIONAL RESEARCH TECHNICAL UNIVERSITY
Название Modeling flotation processes in ore benefication (Review). Part I: Mathematical and numerical modeling
DOI 10.17580/gzh.2026.04.04
Автор Fedotov K. V., Sarapulova G. I., Fedotov P. K.
Информация об авторе

Irkutsk National Research Technical University, Irkutsk, Russia

K. V. Fedotov, Head of Department, Doctor of Engineering Sciences, Professor
G. I. Sarapulova, Doctor of Chemical Sciences, Professor, sara131@mail.ru
P. K. Fedotov, Doctor of Engineering Sciences, Professor

Реферат

A review of publications on modeling the flotation process during ore benefication based on domestic and foreign journals over the past 25 years, including those from the open access MDPI, has been conducted. The increasing dynamics of describing and predicting flotation as a multi-speed and multi-phase physical and chemical continuum is demonstrated. A variety of linear and nonlinear relationships between the operating parameters of the flotation process, chemical reagents and mineral properties are identified, and various types of interactions and methods for describing the state of the foam are recorded. The quantitative assessment is carried out using mathematical models and numerical methods, neural network modeling, machine vision, as well as a new emerging field—the molecular–dynamic modeling. The purpose of the work is not to create an encyclopedic review, since there are quite a few tools and methods of modeling identified by publications, but to highlight the dominant trends and the most common techniques, to identify the more effective ones by the results of the works. Part I of this review presents a selective analysis of articles on mathematical and numerical modeling of the flotation process. The review will be useful for researchers studying flotation processes in ore benefication, as it reflects current trends in modeling complex multiphase flotation systems using various approaches based on global publications.

Ключевые слова Ore benefication, flotation processes, review, mathematical and numerical modeling, modern trends
Библиографический список

1. Chanturiya V. A., Aleksandrova T. N. Contribution by the Russian Academy of Sciences to the development of minerals concentration and processing technology. Marking the 300th anniversary of the Russian Academy of Sciences. Tsvetnye Metally. 2024. No. 1. pp. 7–17.
2. Ruan Y., He D., Chi R. Review on beneficiation techniques and reagents used for phosphate ores. Minerals. 2019. Vol. 9, Iss. 4. ID 253.
3. De Carvalho J. A. E., Brandão P. R. G., Henriques A. B., De Oliveira P. S. et al. Selective flotation of apatite from micaceous minerals using Patauá palm tree oil collector. Minerals Engineering. 2020. Vol. 156. ID 106474.
4. Cheng R., Li C., Liu X., Deng S. Synergism of octane phenol polyoxyethylene-10 and oleic acid in apatite flotation. Physicochemical Problems of Mineral Processing. 2017. Vol. 53, No. 2. pp. 1214–1227.
5. Abramov A. A. Theory of creation of innovation flotation technologies. Part II. Physical and chemical modeling theory of the selective flotation processes of non-ferrous metals’ ores. Tsvetnye Metally. 2013. No. 3. pp. 11–15.
6. Alexandrova T. N., Romashev A. O., Kuznetsov V. V. Development of a methodological approach to establishing the floatability of finely disseminated sulfides. Obogashchenie Rud. 2020. No. 2. pp. 9–14.
7. Solozhenkin P. M. Flotation of minerals with thiols on the basis of computer modeling. Resource-Saving and Environmental Protection during Concentration and Processing of Mineral Raw Materials (Plaksin’s Lectures–2016) : International Conference Proceedings. Moscow : Ruda i Metally, 2016.
8. Shean B. J., Cilliers J. J. A review of froth flotation control. International Journal of Mineral Processing. 2011. Vol. 100, Iss. 3-4. pp. 57–71.
9. Jovanović I., Miljanović I. Modelling of flotation processes by classical mathematical methods—A review. Archives of Mining Sciences. 2015. Vol. 60, No. 4. pp. 905–919.
10. Shumilova L. V., Kostikova O. S. Effect of operating parameters on Jameson cell flotation machine performance—Jameson Cell. MIAB. 2014. No. 6. pp. 207–212.
11. Bouchard J., Desbiens A., Del Villar R., Nunez E. Column flotation simulat ion and control: An overview. Minerals Engineering. 2009. Vol. 22, Iss. 6. pp. 519–529.
12. Harbort G., Clarke D. Fluctuations in the popul arity and usage of flotation columns—An overview. Minerals Engineering. 2017. Vol. 100. pp. 17–30.
13. Betancourt F., Bürger R., Diehl S., Gutiérrez L., Martí M. C. et al. A model of froth flotation with drainage: Simulations and comparison with experiments. Minerals. 2023. Vol. 13, Iss. 3. ID 344.
14. Viduetsky M. G., Garifulin I. F., Maltsev V. A., Purgin A. P. Some aspects of modernization of pneumatic flotation machines of a column type. Tsvetnye Metally. 2021. No. 5. pp. 14–22.
15. Lebedok A. V. Pneuflot® technology application for fine gold and borogypsum slime flotation. Obogashchenie Rud. 2018. No. 4. pp. 17–19.
16. Skorokhodov V. F., Nikitin R. M., Oleynik A. G. The computer modeling application for research of flotation process hydrodnaics. Trudy Kolskogo nauchnogo tsentra RAN. 2012. No. 6(13). pp. 141–149.
17. Bondarenko A. V., Karamyshev N. I., Katsman Ya. M. An approach to creation of methodological and mathematical support for automatic analytical control system for flotation processes of ore concentration. Gornaya Promyshlennost. 2021. No. 5-2. pp. 72–77.
18. Abramov A. A. Collection of proceedings. Vol. 6. Flotation. Physical and chemical modeling of processes. Moscow : Gornaya kniga, 2010. 607 p.
19. Aldrich C., Smith L. K, Verrelli D. I., Bruckard W. J., Kistner M. Multivariate image analysis of realgar–orpiment flotation froths. Mineral Processing and Extractive Metallurgy. 2018. Vol. 127, Iss. 3. pp. 146–156.
20. Gzogyan T. N., Gzogyan S. R., Grishkina E. V. Comparative technological evaluation of schemes for the enrichment of oxidized ferruginous quartzites. Eurasian Mining. 2021. No. 2. pp. 40–46.
21. Samygin V. D., Grigorev P. V. Modeling hydrodynamic effect on flotation selectivity. Part I: Air bubble diameter and turbulent dissipation energy. Journal of Mining Science. 2015. Vol. 51, No. 1. pp. 157–163.
22. Chettibi M., Abramov A. A., Boutrid A. Physicochemical modeling of galena flotation system. Journal of Mining Science. 2014. Vol. 50, No. 6. pp. 1069–1078.
23. Dospaev M. M., Figurinene I. V., Gabdullin S. T. Combined electrochemical sulfidization of refractory oxidized copper ores. Obogashchenie Rud. 2024. No. 5. pp. 19–24.
24. Gharai M., Venugopal R. Modeling of flotation process—An overview of different approaches. Mineral Processing and Extractive Metallurgy Review. 2016. Vol. 37, Iss. 2. pp. 120–133.
25. Amanbaev T. R. Modeling of flotation process in dispersed systems. Theoretical Foundations of Chemical Engineering. 2014. Vol. 48, No. 2. pp. 188–198.
26. Zatonskiy A. V., Malysheva A. V. Modernization of algorithms for flare detection of froth layer parameters during flotation of potash ores. Obogashchenie Rud. 2018. No. 2. pp. 35–41.

27. Fayed H., Ragab S. Numerical simulations of two-phase flow in a self-aerated flotation machine and kinetics modeling. Minerals. 2015. Vol. 5, Iss. 2. pp. 164–188.
28. Bergh L. G., Yianatos J. B. The long way toward multivariate predictive control of flotation processes. Journal of Process Control. 2011. Vol. 21, Iss. 2. pp. 226–234.
29. Quintanilla P., Neethling S. J., Brito-Parada P. R. Modelling for froth flotation control: A review. Minerals Engineering. 2021. Vol. 162. ID 106718.
30. Saravani A. J., Mehrshad N., Massinaei M. Fuzzy-based modeling and control of an industrial flotation column. Chemical Engineering Communications. 2014. Vol. 201, Iss. 7. pp. 896–908.
31. Nakhaei F., Hassanzadeh A., Cisternas L. A. Editorial for Special Issue Design, Modeling, Optimization and Control of Flotation Process. Minerals. 2024. Vol. 14, Iss. 4. ID 391.
32. Kabemba A. M., Mutombo K., Waters K. E. A predictive geometallurgical framework for flotation kinetics in complexes platinum group metal orebodies: Mode of occurrencebased modification of the Kelsall model using particle swarm optimization. Minerals. 2025. Vol. 15, Iss. 7. ID 701.
33. Casali A., Gonzalez G., Agusto H., Vallebuona G. Dynamic simulator of a rougher flotation circuit f or a copper sulphide ore. Minerals Engineering. 2002. Vol. 15, Iss. 4. pp. 253–262.
34. Hasidi O., Abdelwahed E. H., Alaoui-Chrifi M. A. E., Qazdar A., Benzakour I. et al. Digital twin of minerals proces sing operations for an advanced monitoring and supervision: Froth flotation process case study. The International Journal of Advanced Manufacturing Technology. 2024. Vol. 132, Iss. 1-2. pp. 1031–1049.

Language of full-text русский
Полный текст статьи Получить
Назад