DOI: 10.5937/jaes18-26076
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions.
Volume 18 article 681 pages: 230 - 237
The development of science and technology involves the use of specialized software packages designed, among
other things, for mathematical modeling and simulation of enrichment processes. One of the goals of using this type
of software is to optimize technological treatment processes, design of processing plants, etc. However, since the corresponding software is not always freely available, or it does not exist, there is a need to develop application tools.
The objective is to study the application of object-oriented programming to evaluate the enrichment of raw materials
by gravitational methods.This paper presents the results of mathematical modeling of the gravitational separation of
a mixture of polymineral gold-pyrite, gold-quartz, and gold-arsenopyrite intergrown pieces. The obtained alignment
charts allow estimating the enrichment of raw materials depending on the unlocking degree of intergrown pieces. As
a result of the study, a criterion was proposed to evaluate the possibility of gravitational grain separation, grain size,
and unlocking degree. A chart for evaluating the possibility of gravitational separation was proposed.
The work is carried out with financial support of Ministry of Education and Science of Russian Federation according to grant program “Research and development
in priority areas of development of Russia's scientific
and technical complex for 2014 – 2020”, the project №
05.616.21.0127 (RFMEFI61620X0127).
1. Korchevenkov S., & Aleksandrova T. (2018). Investigation of the influence a morphologic characteristic of the noble metal particles on gravity efficiency devices. International Multidisciplinary Scientific Geo Conference: SGEM: Surveying Geology & mining Ecology Management. Vol. 18. – Pp. 99-104.
2. Myazin V.P., & Litvintsev S.A. (2018). Increasing the efficiency of gravity extraction of gold from complex gold-polymetallic ores. Proceedings of the Siberian Branch of the Section of Earth Sciences of the Russian Academy of Natural Sciences. Geology, exploration and development of mineral deposits. Vol. 41. - No. 1 (62).
3. Algebraistova, N.K., Samorodskiy, P.N., Kolotushkin, D.M., & Prokopyev, I.V. (2018). Technology of gold recovery from gold-bearing technogenicraw materials. Obogashchenie Rud, (1), pp. 33-37.
4. Mkandawire, N.P., Mc Grath, T., Bax, A., Eksteen, J. Potential of the dense media cyclone for gold ore preconcentration (2020) Mineral Processing and Extractive Metallurgy: Transactions of the Institute of Mining and Metallurgy, 129 (1), pp. 87-95
5. Verkhoturov M.V. (2006). Gravity methods of enrichment. Text book. for a university. M .: MAKS Press. Pp. 352.
6. Lvov V., Sishchuk J., & Chitalov L. (2017). Intensification of Bond ball mill work index test through various methods. International Multidisciplinary Scientific Geo Conference: SGEM: Surveying Geology & mining Ecology Management. Vol. 17. – №. 1.1. – Pp. 857-863.
7. Nikolaeva, N.V., Taranov, V.A., & Afanasova, A.V. (2015). Ore strength analysis in planning ore pretreatment circuit Information about author. Gornyi Zhurnal, 2015 (12), pp. 9-13.
8. Algebraistova, N.K., Makshanin, A.V., Burdakova, E.A., Samorodskiy, P.N., & Markova, A.S. (2015). Development of stage gravity fl owsheet for recovery of noble metals, Obogashchenie Rud, (2), pp. 3-7.
9. Wills B. A., & Finch J. (2019). Wills' mineral processing technology: an introduction to the practical aspects of ore treatment and mineral recovery. – Butterworth-Heinemann, 2015.
10. Wang, X., Qin, W., Jiao, F., Yang, C., Cui, Y., Li, W., Zhang, Z., Song, H. Mineralogy and pretreatment of a refractory gold deposit in Zambia (2019) Minerals, 9 (7), № 406.
11. Lowes, Callan & Zhou, J & Galvin, Kevin. (2018). Gravity Separation of Gold Ore using the REFLUX™ Classifier to Achieve Coarse Particle Gangue Rejection. Chemeca. Pp. 74.
12. Vasiliev A. M. (2011). Analysis of formulas for the free fall velocity of spherical particles. Ore dressing. No. 2. - Pp. 22-26.
13. Matveev, I.A., Matveev, A.I., Eremeeva, N.G., &Grigorev, Y.M. (2018). Experimental and theoretical investigation of the behavior of particles in water fl ow. Mining Informational and Analytical Bulletin, (11), pp. 171-177.
14. Aleksandrova T.N. & Kuskov V.B. (2014).Development of methods for increasing efficiency of gravitational extraction of small and thin gold from scales of different genesis. Journal of Mining Institute. Vol. 210, p. 69-77.
15. Yemelyanov, V., Nedelkin, A., & Yemelyanova, N. (2020). Expert system software for assessing the technical condition of critical lined equipment doi:10.1007/978-3-030-37916-2_92
16. Stival, M., Cunha, E. J. N. S., Cunha, M., & Rocha, J. R. C. D. (2019). Application of ludic activity for learning of chemical concepts: Case study. [Aplicacao de atividade ludica para o aprendizado de conceitos quimicos: Estudo de caso] Periodico Tche Quimica, 16(32), 783-793.
17. Yemelyanov, V. A., Yemelyanova, N. Y., Nedelkin, A. A., Glebov, N. B., & Tyapkin, D. A. (2019). Information system to determine the transported liquid iron weight. Paper presented at the Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, El Con Rus 2019, 377-380. doi:10.1109/EIConRus.2019.8656693
18. Teles, A. C., Freitas, A. C. D. P., & Rodrigues, A. C. (2019). Failures detection methods in chemical process using artificial intelligence. [Comparacao de metodos de deteccao de falhas em processos quimicos utilizando inteligencia artificial] Periodico Tche Quimica, 16(32), 61-68.
19. Yemelyanov, V. A., Nedelkin, A. A., & Olenev, L. A. (2019). An object-oriented design of expert system software for evaluating the maintenance of lined equipment. Paper presented at the 2019 International Multi-Conference on Industrial Engineering and Modern Technologies, Far East Con 2019, doi:10.1109/FarEastCon.2019.8934414