Technology optimization for processing of raw materials from heterogeneous carbonate deposits
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- Category: Content №6 2024
- Last Updated on 28 December 2024
- Published on 30 November -0001
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Authors:
P.B.Saik*, orcid.org/0000-0001-7758-1083, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O.S.Dreshpak, orcid.org/0000-0003-1019-4382, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O.V.Cherniaiev, orcid.org/0000-0001-8288-4011, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O.O.Anisimov, orcid.org/0000-0001-8286-7625, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2024, (6): 052 - 058
https://doi.org/10.33271/nvngu/2024-6/052
Abstract:
Purpose. The research is aimed at determining the qualitative and quantitative characteristics of complex limestone processing from the Oleshiv limestone deposit while calculating the energy absorption rates in the processes of processing non-metallic mineral raw materials.
Methodology. The authors of the paper sampled limestone in three outcropped locations of the Oleshiv mineral deposit. The degree of limestone purity in marketable products by type of fraction is examined using an X-ray DRON-3 diffractometer. The ultimate compressive strength of limestone is determined in laboratory conditions using a specialized test press KL 200/CE-Tecnotest. Energy absorption rates are calculated based on parameters characterizing the main stages of limestone processing, including crushing, transportation and screening.
Findings. The main trends in the field of limestone mining and processing have been analyzed, highlighting previously unresolved problems. On the example of processing limestone from the Oleshiv deposit, a technological scheme for its beneficiation has been developed; qualitative and quantitative parameters of the beneficiation process have been determined; the mineral composition of the fractional marketable product has been studied; the parameters of limestone compressive strength, as well as energy absorption rates in the processing processes to obtain finished products have been found.
Originality. The patterns of change in the flux limestone content during its beneficiation with preliminary dry extraction of marketable fractions of 80–130, 40–80 and 20–40 mm have been revealed. The patterns of the finished product yield distribution have been identified, taking into account the movement of clay-sand raw materials in the 0–20 mm fraction and its combination with the preliminary extraction of the 0–40 mm fraction before crushing. Based on mineralogical analysis of limestone composition by fraction types, it has been found that the degree of its purity increases from 85.54 to 94.0 %. The energy absorption rates during limestone processing have been determined, taking into account the physical-mechanical properties of the mineral and the parameters of equipment operation.
Practical value. A technological scheme for the beneficiation of limestone from the Oleshiv deposit has been developed, which allows for the production of seven fractions of limestone and one fraction of clay-sand raw materials. This scheme is optimized to maximize the extraction of the useful component, while ensuring high quality of the final product. The dynamics of energy absorption during limestone crushing, transportation, and screening has been determined, which makes it important to develop further recommendations for optimizing energy consumption in crushing processes.
Keywords: limestone, processing, energy absorption, strength, Oleshiv deposit
References.
1. Singh, N. B. (2022). Clays and Clay Minerals in the Construction Industry. Minerals, 12(3), 301. https://doi.org/10.3390/min12030301.
2. Pavithra, A., & Murali, K. (2023). Crushed-stone sand for use in the development of self-compacting concrete (SCC). Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2023.03.571.
3. Shaldarbekov, K., Mukhanova, G., Dossova, S., Nurmukhambetova, Z., Mussaeva, G., & Shaldarbekova, K. (2018). Regional projects selection based on multi-criteria evaluation. Journal of Advanced Research in Law and Economics, 9(6(36)), 2026-2034. https://doi.org/10.14505/jarle.v9.6(36).16.
4. Kuandykov, T. A., Karmanov, T. D., Kuldeyev, E. I., Yelemessov, K. K., & Kaliev, B. Z. (2022). New technology of uncover the ore horizon by the method of in-situ leaching for uranium mining. News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Science, (3), 142-154. https://doi.org/10.32014/2022.2518-170X.186.
5. Sobko, B., & Hrytsenko, L. (2021). The current state of surface development of non-metallic mineral deposits for the production of crushed stone products. Collection of Research Papers of the National Mining University, 66, 7-16. https://doi.org/10.33271/crpnmu/66.007.
6. Saik, P., Cherniaiev, O., Anisimov, O., Dychkovskyi, R., & Adamchuk, A. (2023). Mining of non-metallic mineral deposits in the context of Ukraine’s reconstruction in the war and post-war periods. Mining of Mineral Deposits, 17(4), 91-102. https://doi.org/10.33271/mining17.04.091.
7. Kanagaraj, B., Anand, N., Johnson Alengaram, U., Samuvel Raj, R., & Karthick, S. (2024). Limestone calcined clay cement (LC3): A sustainable solution for mitigating environmental impact in the construction sector. Resources, Conservation & Recycling Advances, 21, 200197. https://doi.org/10.1016/j.rcradv.2023.200197.
8. Chubenko, V. A., Khinotskaya, A., Yarosh, T., Saithareiev, L., & Baskanbayeva, D. (2022). Investigation of energy-power parameters of thin sheets rolling to improve energy efficiency. IOP Conference Series: Earth and Environmental Science, (1049), 012051. https://doi.org/10.1088/1755-1315/1049/1/012051.
9. Yelemessov, K. K., Baskanbayeva, D. D., Sabirova, L. B., & Akhmetova, S. D. (2023). Justification of an acceptable modern energy-efficient method of obtaining sodium silicate for production in Kazakhstan. IOP Conference Series: Earth and Environmental Science, 1254(1), 012002. https://doi.org/10.1088/1755-1315/1254/1/012002.
10. Saik, P., Cherniaiev, O., Anisimov, O., & Rysbekov, K. (2023). Substantiation of the Direction for Mining Operations That Develop under Conditions of Shear Processes Caused by Hydrostatic Pressure. Sustainability, 15(22), 15690. https://doi.org/10.3390/su152215690.
11. Shaldarbekov, K. B., Mukhanova, G. S., Dossova, S. N., Mussaeva, G. K., Nurmukhambetova, Z. S., & Shaldarbekova, K. B. (2018). Problems of Regional Industrial Projects Realization. Journal of Advanced Research in Law and Economics, 9(6(36)), 2119-2128. https://doi.org/10.14505/jarle.v9.6(36).27.
12. Gorova, A., Pavlychenko, A., Kulyna, S., & Shkremetko, O. (2012). Ecological problems of post-industrial mining areas. Geomechanical Processes During Underground Mining, 35-40. https://doi.org/10.1201/b13157-7.
13. Bazaluk, O., Petlovanyi, M., Sai, K., Chebanov, M., & Lozynskyi, V. (2024). Comprehensive assessment of the earth’s surface state disturbed by mining and ways to improve the situation: case study of Kryvyi Rih Iron-ore Basin, Ukraine. Frontiers in Environmental Science, 12, 1480344. https://doi.org/10.3389/fenvs.2024.1480344.
14. Cheberiachko, S., Yavorska, O., Deryugin, O., Lantukh, D., Bas, I., Kruzhilko, O., & Melnyk, V. (2023). Improving Safety of Passenger Road Transportation. Transactions on Transport Sciences, 14(2), 11-20. https://doi.org/10.5507/tots.2023.003.
15. Kenzhaliyev, B. K., Abikak, Y. B., Gladyshev, S. V., Manapova, A. I., & Imangaliyeva, L. M. (2024). Destruction of mineral components of red mud during hydrothermal extraction of scandium. Engineering Journal of Satbayev University, 146(2), 9-17. https://doi.org/10.51301/ejsu.2024.i2.02.
16. Bazaluk, O., Ashcheulova, O., Mamaikin, O., Khorolskyi, A., Lozynskyi, V., & Saik, P. (2022). Innovative activities in the sphere of mining process management. Frontiers in Environmental Science, (10), 878977. https://doi.org/10.3389/fenvs.2022.878977.
17. Lozhnikov, O., Sobko, B., & Pavlychenko, A. (2023). Technological Solutions for Increasing the Efficiency of Beneficiation Processes at the Mining of Titanium-Zirconium Deposits. Inżynieria Mineralna, 1(1). https://doi.org/10.29227/im-2023-01-07.
18. Pilov, P. I., & Dreshpak, A. S. (2017). Mathematical model for predicting limestone enrichment indicators. International Journal of Energy for a Clean Environment, 18(4), 319-333. https://doi.org/10.1615/interjenercleanenv.2018021634.
19. Rysbekov, K. B., Toktarov, A. A., & Kalybekov, T. (2021). Technique for Justifying the Amount of the Redundant Developed Reserves Considering the Content of Metal in the Mining Ore. IOP Conference Series: Earth and Environmental Science, 666(3), 032076. https://doi.org/10.1088/1755-1315/666/3/032076.
20. Lawan Muhammad, U. (2018). Limestone as Solid Mineral to Develop National Economy. American Journal of Physical Chemistry, 7(2), 23. https://doi.org/10.11648/j.ajpc.20180702.13.
21. Alassaf, Y., Mabrouk, A., Jamei, M., & Ahmed, A. (2024). A Failure Criterion of Weak and Crushable Limestone Rock in Mining Field containing Karstic Cavities. Engineering, Technology & Applied Science Research, 14(3), 14692-14697. https://doi.org/10.48084/etasr.7295.
22. Fattahi, H., & Ghaedi, H. (2024). Optimizing mining economics: predicting blasting costs in limestone mines using the RES-based method. International Journal of Mining and Geo-Engineering, 58(2), 181-190. https://doi.org/10.22059/ijmge.2024.363654.595091.
23. dos Santos, Y. R. P., Gomes, I., Lima, A., Barbosa, J., Correia Filho, O., Antonino, A. C. D., Duarte, D., & Rodrigues, M. (2024). Production of Synthetic Carbonate Rocks Using Limestone Mining Waste: Mineralogical, Petrophysical and Geomechanical Characterization. Resources, 13(6), 78. https://doi.org/10.3390/resources13060078.
24. Dreshpak, O., Dreshpak, N., & Vypanasenko, S. (2022). Technology of raw material enrichment of inhomogeneous carbonate deposits and evaluation of its energy efficiency. Prospects for developing resource-saving technologies in mineral mining and processing, 194-214. https://doi.org/10.31713/m1107.
25. Gaćina, R., & Dimitrijević, B. (2022). Reducing environmental impact caused by mining activities in limestone mines. Podzemni Radovi, 40, 37-44. https://doi.org/10.5937/podrad2240037g.
26. Parthiban, P., Ganapathy, R. S., Karthick, S., Ganesh, V. N., Praburanganathan, S., & Athawale, S. G. (2023). A review on environmental impact assessment of limestone mining operations. AIP Conference Proceedings, 2690, 020006. https://doi.org/10.1063/5.0119833.
27. Kafu, B., & Mlaba, S. (2024). Assessing the Impact of Quarrying as an Environmental Ethic Crisis: A Case Study of Limestone Mining in a Rural Community. Preprint. https://doi.org/10.20944/preprints202401.1691.v1.
28. Sokur, M. I., Biletskyi, V. S., Yehurnov, O. I., Vorobiov, O. M., Smyrnov, V. O., & Bozhyk, D. P. (2017). Preparing minerals for beneficiation: monograph. Kremenchuk: KrNU imeni Mykhaila Ostrohradskoho.
29. Patyk, M., Bodziony, P., & Krysa, Z. (2021). A Multiple Criteria Decision Making Method to Weight the Sustainability Criteria of Equipment Selection for Surface Mining. Energies, 14(11), 3066. https://doi.org/10.3390/en14113066.
30. Saik, P., Dreshpak, O., Ishkov, V., Cherniaiev, O., & Anisimov, O. (2024). Change in the qualitative composition of non-metallic mineral raw materials as a result of blasting operations. Mining of Mineral Deposits, 18(3), 114-125. https://doi.org/10.33271/mining18.03.114.
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