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Control regularities of the useful mineral extraction from ore feed stream with ball grinding. Spectral analysis

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Category: Information technologies, systems analysis and administration

Last Updated on 11 January 2018

Published on 11 January 2018

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Authors:

I.K. Mladetskyi, Doctor of Technical Sciences, Professor, National Mining University, Professor of the Mineral Processing Department, Dnipro, Ukraine

Ya.H. Kuvaiev, Candidate of Technical Science, Associate Professor, National Mining University, Leading Researcher of Research Department, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

N.S. Priadko, Doctor of Technical Sciences, Senior Research Fellow, National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Institute of Technical Mechanics, Senior Research Fellow of the Thermogasdynamic Power Plants Laboratory, Dnipro, Ukraine

Abstract:

Purpose. Using spectral and frequency analysis methods, to determine the indicative events characterizing a
process condition on a control channel “content of useful mineral in ore – content of useful mineral in a concentrate” of ore concentrating plant with ball grinding to exclude the operator from control contour.

Methodology. Spectral and frequency analysis of control object.

Findings. The analysis of the logarithmic amplitude-frequency characteristic of an enrichment section showed that the control strategy of a section and an ore concentrating plant in general through the “content of useful mineral in ore – content of useful mineral in a concentrate” channel should be based on reaction to a parameter value deviation of saleable concentrate from the set values. The spectral analysis of useful mineral content in ore and saleable concentrate and the frequency characteristics obtained on the basis of commercial operation data allowed allocating some indicative events which characterize an enrichment process condition through the specified control channel.

Originality. It has been shown for the first time that automatic control systems for the enrichment section and concentrating factory in general through the channel described above should be constructed according to the reaction to the deviation of saleable concentrate characteristics from the set ones. The analysis of dispersion spectrum parameters of general iron content in initial ore and a concentrate and amplitude-frequency characteristics through the control channel obtained during commercial operation at an ore concentrating factory has been carried out for the first time.

Practical value. The obtained results can be used for creation of automatic system of situational management of an ore dressing process of ferrous and non-ferrous metals both at separate sections with ball crushing and at factories consisting of these sections.

References

1. Driga, V. V., 2011. A research and classification of the magnetite ore accuracy reducing factors of the continuous quality control. In: Quality of mineral raw materials: Col. Sc. Pap. Acad. of Mining Sciences of Ukraine, Kryvyi Rih: SAC Ukrrud-prom. – Kryvyi Rih. pp. 168–179.

2. Morozov, V. V., Shek, V. M. and Morozov, Yu. P., 2016. Enhancement of intellectual methods of management of enrichment processes on the basis of the viziometrik analysis of ore. Mountain sciences and technologies, 2, pp. 31–42.

3. Kondratets, V. O. and Matsui, A. M., 2016. Researches of pulp stream formation condition at sand chute an one spiral classifier. Visnik of National Technical University “KhPІ”, 6(1178), pp. 24–30.

4. Mishchenko, V. O., Olevskyi, V. I. and Olevska, Yu. B., 2015. Mathematical models of enrichment for automated control systems for quality of magnetite declamation. Bulletin of National Technical University “HPI”: Mechanic-technology systems and complexes, 52(1161), pp. 36–40.

5. Kondratets, V. O. and Serbul, O. M., 2010. The precision decrease of stochastic SAR pulp rarefaction in the mill with circular loading by signal filtering. Technics in agricultural production, mechanical engineering, automation: Col. Sci. Pap. Kirovohradskyi National Technical University, 23, pp. 78–84.

6. Azarian, A. V., 2012. The guaranteed production control of ore enrichment on the basis of Fuzzy-system. Radio-electronic and computer system, 6, pp. 109–113.

7. Kupin, A. I., 2009. Program-technical realization of intellectual automatic control system of technology complex. Naukovy Visnyk Chernivetskogo Universitetu: Zbirnyk Naukovyh Prats. Computer systems and components, 446, pp. 84–93.

8. Horolskyi, V. P., Horolskyi, D. V. and Titorenko, K. G., 2015. Multilevel intellectual optimization system of mining and processing plan power consumption. Herald of Khmelnytskyi national university. Engineering, 2, pp. 192–198.

9. Mladetskyi, I. K., Kuvaiev, Ya. H. and Priadko, N. S., 2017. Control regularities of the useful mineral extraction from ore feed stream with ball grinding. Correlation analysis. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 4, рр. 91‒98.

10. Kuvaiev, I. A., Mladetskyi, I. and Oriol, M., 2016. Promising approach to the identification and classification of steady-state operation of an iron-ore dressing section. In: Power Engineering and Information Technologies in Technical Objects Control, Annual publication. Leiden: CRC Press/Balkema. pp. 67–73.

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