Development of the method to operatively control quality of iron ore raw materials at open and underground extraction
DOI:
https://doi.org/10.15587/1729-4061.2018.144003Keywords:
quality of mineral raw materials, logging of wells, gamma radiation, total iron, magnetic ironAbstract
The main task of the mining industry is to improve the efficiency of extraction and processing of iron ore. One of the main factors contributing to solving the task is determining the content of iron in the ore body at the initial stage of production chain. Traditional methods of chemical analysis that are widely used at present to achieve this goal do not possess a sufficient degree of responsiveness and require about two hours to obtain the results. That typically does not make it possible to properly adjust the parameters of the technological process of ore processing, but only provides for the opportunity to ascertain the status of the production process at the time of sampling.
Existing methods of accomplishing this task, which possess a sufficient degree of efficiency, are based on the use of direct methods. These include the nuclear-physical (interaction between gamma-radiation and mountain mass), magnetometric (changing the relative magnetic permeability when interacting with magnetic iron), ultrasound (a change in the ultrasonic wave propagation in the examined material) methods.
In order to improve the accuracy of determining the percentage of a mineral component in the examined mountain mass, in this work we have improved the nuclear-physical method for determining the content of total iron in iron ore lumps. The improvement of the method makes it possible to enhance the accuracy of control over a mineral component in the studied material by 1.5 % by registering not only the gamma quanta reflected from the surface, but the absorbed particles as well. We have experimentally established the sensitivity level (K=1.32‒1.38), which characterizes a change in the intensity of the registered radiation due to a change in the content of iron in the irradiated material. We have also established the level of a statistical error (<0.65 %) in order to ensure the permissible measurement accuracy.
Based on a given method, we have proposed an information-measuring system for monitoring, analysis, and forecasting the qualitative characteristics of ore under conditions of an enrichment plant. The application of this system makes it possible for technological personnel to promptly intervene in the production process and to adjust the qualitative-quantitative parameters of oreReferences
- Lutsenko, I. (2016). Definition of efficiency indicator and study of its main function as an optimization criterion. Eastern-European Journal of Enterprise Technologies, 6 (2 (84)), 24–32. doi: https://doi.org/10.15587/1729-4061.2016.85453
- Azaryan, A., Azaryan, V. (2015). Use of Bourger-Lambert-Bera law for the operative control and quality management of mineral raw materials. Metallurgical and Mining Industry, 1, 4–8.
- Kiran, K. U., Ravindraswami, K., Eshwarappa, K. M., Somashekarappa, H. M. (2015). Experimental and simulated study of detector collimation for a portable 3″ × 3″ NaI(Tl) detector system for in-situ measurements. Journal of Radiation Research and Applied Sciences, 8 (4), 597–605. doi: https://doi.org/10.1016/j.jrras.2015.07.006
- Sabharwal, A. D., Sandhu, B. S., Singh, B. (2009). Investigations of effect of target thickness and detector collimation on 662 keV multiply backscattered gamma photons. Radiation Measurements, 44 (4), 411–414. doi: https://doi.org/10.1016/j.radmeas.2009.06.010
- Azaryan, A. A., Azaryan, V. A., Trachuk, A. A. (2013). Quick response quality control of mineral raw materials in the pipeline. European Science and Technology. Materials of the V International scientific and practice conference. Munich, 325–331.
- Azaryan, A. (2015). Research of influence single crystal thickness NaJ (TL) on the intensity of the integrated flux of scattered gamma radiation. Metallurgical and Mining Industry, 2, 43–46.
- Kurth, H., Edwards, M. (2008). Use of on-belt analysers for improved process control of conveyed materials. Proceedings Metallurgical Plant Design and Operating Strategies (MetPlant 2008). Melbourne, 493–507.
- Minnett, R. C. A. (2010). The state of sampling practice in the South African minerals industry. Proceedings Sampling Conference. Melbourne, 31–50.
- Azaryan, A. A., Azaryan, V. A., Driga, V. V. (2011). Sistema operativnogo kontrolya kachestva zhelezistyh kvarcitov na konveyere. Kachestvo mineral'nogo syr'ya, 184–191.
- Azaryan, A. A., Driga, V. V., Shvydkiy, A. V. et. al. (2008). Analiz rezul'tatov ekspluatacii datchika zheleza magnitnogo v usloviyah GOKa «ArselorMittal Krivoy Rog». Metallurgicheskaya i gornorudnaya promyshlennost', 2, 111–113.
- Azaryan, A. A., Kucher, V. G., Shvec, D. V. (2017). Perspektivy postroeniya sistem avtomaticheskogo regulirovaniya processa magnitnoy separacii na baze pogruzhnyh analizatorov soderzhaniya magnitnogo zheleza. Kachestvo mineral'nogo syr'ya.
- Shvec, D. V. (2018). Avtomaticheskoe upravlenie processom izmel'cheniya magnetitovyh rud na osnove opredeleniya ih prochnosti. Kachestvo mineral'nogo syr'ya, 2.
- Azaryan, A. A., Dryga, V. V., Cybulevskiy, Yu. E. (2005). Issledovanie avtogeneratornogo metoda kontrolya soderzhaniya zheleza magnitnogo v produktah obogashcheniya. Kachestvo mineral'nogo syr'ya, 117–123.
- Sandomirskij, S. G. (2011). Perspectives of development of magnetic control of the large-size cast iron castings structure. Litiyo i Metallurgiya, 3 (62), 157–162.
- Sandomirskij, S. G. (2008). Magnetic control of the steel and cast iron articles structure. Modern state (review). Litiyo i Metallurgiya, 2 (46), 33–42.
- Porkuyan, O. V., Sotnikova, T. G. (2010). Kombinirovannyy metod opredeleniya otnositel'nogo soderzhaniya magnetita v tverdoy faze zhelezorudnoy pul'py. Vestnik Nac. tekhn. un-ta "KhPI", 12, 29–36.
- Morkun, V., Tron, V., Goncharov, S. (2015). Automation of the ore varieties recognition process in the technological process streams based on the dynamic effects of high-energy ultrasound. Metallurgical and Mining Industry, 2, 31–34. Available at: http://www.metaljournal.com.ua/assets/Journal/english-edition/MMI_2015_2/006Tron.pdf
- Morkun, V., Tcvirkun, S. (2014). Investigation of methods of fuzzy clustering for determining ore types. Metallurgical and Mining Industry, 5, 11–14. Available at: http://www.metaljournal.com.ua/assets/Journal/3-MorkunTs.pdf
- Morkun, V., Morkun, N. (2018). Estimation of the Crushed Ore Particles Density in the Pulp Flow Based on the Dynamic Effects of High-Energy Ultrasound. Archives of Acoustics, 43 (1), 61–67. doi: https://doi.org/10.24425/118080
- Goncharov, S. A. (2009). Povyshenie effektivnosti obogatitel'nyh tekhnologiy putem vozdeystviya vysokoenergeticheskogo ul'trazvuka na pererabatyvaemoe syr'e. Visnyk Kryvorizkoho natsionalnoho universytetu, 23, 236–239.
- Xu, Y., Guan, Z., Jin, Y., Tian, Y., Liu, Y., Xu, C., Shi, Y. (2017). Study of the ultrasonic propagation law in the gas-liquid two-phase flow of deepwater riser through numerical simulation. Journal of Petroleum Science and Engineering, 159, 419–432. doi: https://doi.org/10.1016/j.petrol.2017.09.051
- Kundu, S., Kumari, A., Pandit, D. K., Gupta, S. (2017). Love wave propagation in heterogeneous micropolar media. Mechanics Research Communications, 83, 6–11. doi: https://doi.org/10.1016/j.mechrescom.2017.02.003
- Louisnard, O. (2012). A simple model of ultrasound propagation in a cavitating liquid. Part I: Theory, nonlinear attenuation and traveling wave generation. Ultrasonics Sonochemistry, 19 (1), 56–65. doi: https://doi.org/10.1016/j.ultsonch.2011.06.007
- Louisnard, O. (2012). A simple model of ultrasound propagation in a cavitating liquid. Part II: Primary Bjerknes force and bubble structures. Ultrasonics Sonochemistry, 19 (1), 66–76. doi: https://doi.org/10.1016/j.ultsonch.2011.06.008
- Shayakhmetov, B., Issagulov, A., Baisanov, A., Karakeyeva, G., Issagulovа, D. (2014). Studying phase structure of burned ferrous manganese ores by method of nuclear gamma – resonance spectroscopy. Metallugiyja, 53 (2), 231–234.
- Dzyublik, A. Ya., Sadykov, E. K., Petrov, G. I., Arinin, V. V., Vagizov, F. H., Spivak, V. Yu. (2013). Mossbauer forward scattering spectra of ferromagnets in radio-frequency magnetic field. Yaderna fizyka ta enerhetyka, 13 (1), 73–82.
- Viana, S. A. A., Souza, A. S., Araujo, W. C., Ribeiro, R. V. Iron Ore Composition Monitoring Using an Automated On-Line X-Ray Spectrometer Analyzer. Available at: http://www.apc-analytics.com/sites/default/files/pdf_documents/isa_show_2008_-_solas_brauer_0.pdf
- Lutsenko, I., Oksanych, I., Shevchenko, I., Karabut, N. (2018). Development of the method for modeling operational processes for tasks related to decision making. Eastern-European Journal of Enterprise Technologies, 2 (4 (92)), 26–32. doi: https://doi.org/10.15587/1729-4061.2018.126446
- Lutsenko, I., Fomovskaya, E., Koval, S., Serdiuk, O. (2017). Development of the method of quasi-optimal robust control for periodic operational processes. Eastern-European Journal of Enterprise Technologies, 4 (2 (88)), 52–60. doi: https://doi.org/10.15587/1729-4061.2017.107542
- Cvirkun, S. L. (2014). Avtomaticheskaya sistema soprovozhdeniya krupnokuskovoy rudy na konveyernoy lente. Visnyk Kryvorizkoho natsionalnoho universytetu, 36, 229–234.
- Azaryan, A. A., Gritsenko, A. N. (2011). Mobile station for logging of blast holes. Novi technologiyi, 4, 52–55.
- Arena, T., McTiernan, J. (2011). On-belt analysis at Sepon Copper operation. Proceedings Metallurgical Plant Design and Operating Strategies (MetPlant 2011). Melbourne, 527–535.
- Delwig, C., Fettweis, H., Schnitzler, T., Wienströer, S., Ferguson, S., Noble, G. (2011). Use of an online elemental analyser to optimize the sinter process at ThyssenKrupp Steel Europe, Duisburg, Germany. Proceedings Iron Ore Conference. Melbourne, 381–388.
- Azaryan, A., Pikilnyak, A., Shvets, D. (2015). Complex automation system of iron ore preparation for beneficiation. Metallurgical and mining industry, 8, 64–66. Available at: https://www.metaljournal.com.ua/assets/Journal/english-edition/MMI_2015_8/011Azaryan.pdf
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Albert Azaryan, Andrey Gritsenko, Annait Trachuk, Dmitriy Shvets
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.