ArticleName |
The use of a simulation model for reducing the size of mineral particles
in the modeling of crushing and grinding processes |
ArticleAuthorData |
Mining Institute of Kola Scientific Centre of RAS (Apatity, Russia):
Nikitin R. M., Researcher, Candidate of Engineering Sciences, remnik@yandex.ru Biryukov V. V., Researcher Kameneva Yu. S., Junior Researcher Vishnyakova I. N., Junior Researcher |
Abstract |
In this article, the simulation model for mineral particle size reduction developed at the Mining Institute of the Kola Science Centre of the Russian Academy of Sciences is used as the basis for describing the approach to modeling crushing and grinding processes based on generating the distribution density for the sum of mineral particles formed using the reflected normal Gauss–Laplace distribution. Samples of sulfide copper-nickel ore of the Pechenga ore field and ROM iron and low-iron ore of JSC Olcon were used in the study. The results obtained demonstrate the use of the simulation model in the development of a software module for simulating the operation of the corresponding process equipment. The model may be applied independently to specific processes of particle size reduction (types and energy intensity ratings of the equipment used, physical and mechanical properties of solid particles) for the operational forecasting of mineral processing results. The time dependence is shown for the size distribution of mineral particles, which takes into account the properties of the material being ground, the particular type of equipment and the specific energy effect on the material being ground. This work was financially supported under research topic 0226-2019-0063 «Development of the theory for the processing of strategic mineral raw materials of the Kola mining complex in accordance with the environmental strategy for the development of the industry», No. AAAA-A19-119040390026-3. The authors are grateful to the rest of the team of contributors: the director of the Mining Institute of the Kola Science Centre of the RAS, Doctor of Engineering Sciences S. V. Lukichev and Head of Laboratory, Candidate of Engineering Sciences G. V. Mitrofanova. |
References |
1. Agranovskaya E. А. Calculation of quantitative schemes using an electronic analog machine. Obogashchenie Rud. 1969. No. 5. pp. 28–31. 2. Agranovskaya E. А., Blekhman I. I., Finkelshteyn G. А., Shapiro R. B. Prospects for the application of technical diagnosis and centralized memory in the field of ore beneficiation. Obogashchenie Rud. 1969. No. 5. pp. 45–51. 3. Tikhonov О. N. Introduction to the dynamics of mass transfer of beneficiation technology processes. Leningrad: Nedra, 1973. 240 p. 4. Barskiy L. А., Kozin V. Z. System analysis in mineral processing. Мoscow: Nedra, 1978. 486 p. 5. Shupov L. P. Computer simulation and calculation of beneficiation schemes. Мoscow: Nedra, 1980. 288 p. 6. Karmazin V. V., Mladetskiy I. К., Pilov P. I. Calculations of technological indicators of mineral processing. Мoscow: Gornaya Kniga, 2006. 221p. 7. Leonov S. B., Petrov А. V. Simulation of technological processes of mineral processing. Irkutsk: Irkutsk State Technical University, 1996. 242 p. 8. Petrov А. V. System modeling. Irkutsk: Irkutsk State Technical University, 2000. 268 p. 9. Vaisberg L. А., Rubisov D. G. Vibratory screening of bulk materials: Process modeling and technological calculation of screens. St. Petersurg: Mekhanobr, 1994. 45 p. 10. Alpatov Yu. N. Structural-parametric synthesis of multiconnected control systems. St. Petersurg: Lan', 2019. 288 p. 11. Ksenofontov B. S., Titov K. V. Imitating modeling and operator method of the analysis of processes of floatation water purification. Ekologiya Promyshlennogo Proizvodstva. 2015. No. 4. pp. 35–39. 12. Ksenofontov B., Titov K., Firsova A. Jordan–Gauss successive elimination method in solution of pneumohydraulic flotation water purification problems. IOP Conf. Series: Materials Science and Engineering. 2019. Vol. 192, Iss. 1. Art. No. 012009. DOI: 10.1088/1757-899X/492/1/012009. 13. Nikolaeva N. V., Aleksandrova T. N., Elbendari A. M. Ore strength property evaluation in the design of ore preparation cycles. Proc. of the International European rock mechanics symposium. St. Petersburg, 22–26.05.2018. pp. 333–338. 14. Aleksandrova T. N., Nikolaeva N. V., Lvov V. V., Romashev A. O. Ore processing efficiency improvements for precious metals based on process simulations. Obogashchenie Rud. 2019. No. 2. pp. 8–13. DOI: 10.17580/or.2019.02.02. 15. Nikolaeva N. V., Romashev A. O., Aleksandrova T. N. Degree evaluation of grinding on fractional composition at destruction of polymineral raw materials. Proc. of the XXIX IMPC, Moscow, September 17–21, 2018. Pt. 2. Comminution & Classification. Paper 605. pp. 217–223. USB flash drive. 16. Biryukov V. V., Skorokhodov V. F., Nikitin R. M., Oleynik A. G. Creation of the flow chart models for raremetal mineral raw material processing using system analysis methods. Trudy Kolskogo Nauchnogo Tsentra RAS. 2017. Vol. 8, No. 3–8. pp. 124–134. 17. Skorokhodov V. F., Khokhulya M. S., Opalev A. S., Fomin A. V., Biryukov V. V., Nikitin R. M. Applied aspects of computer modeling of multiphase media hydrodynamics in the research of mineral separation processes during ore beneficiation. Fiziko-tekhnicheskie Problemy Razrabotki Poleznykh Iskopayemykh. 2019. No. 2. pp. 139–153. 18. Jeswiet J., Szekeres A. Energy consumption in mining comminution. Procedia CIRP. 2016. Vol. 48. pp. 140–145. 19. Moosakazemi F., Tavakoli Mohammadi M. R., Mohseni M., Karamoozian M., Zaker M. Effect of design and operational parameters on particle morphology in ball mills. International Journal of Mineral Processing. 2017. Vol. 165. pp. 1–49. 20. Tavares L. M. A review of advanced ball mill modelling. KONA Powder and Particle Journal. 2017. Vol. 34. pp. 106–124. 21. Mulenga F. K. Sensitivity analysis of Austin's scaleup model for tumbling ball mills — Part 1. Effects of batch grinding parameters. Powder Technology. 2017. Vol. 311. pp. 398–407. 22. Charles R. J. Energy-size reduction relationships in comminution. Transactions of the Metallurgical Society of the American Institute of Mining, Metallurgical and Petroleum Engineers. 1957. Vol. 208. pp. 80–88 23. Lukichev S. V., Nikitin R. M., Biryukov V. V. A simulation model of minerals' grade size reduction. Gorny Informatsionno-analiticheskiy byulleten'. 2019. No. S37. pp. 514–522. |