Approximation and Continuous Integration of Experimental Amber Processing Data
- M.A. Perepelkin1, V.V. Kurbatova1, V.I. Sklyanov2, V.V. Tyutyunin3, M.V. Kozlov4
1 Northeastern State University, Magadan, Russian Federation
2 Norilsk State Industrial Institute, Norilsk, Russian Federation
3 Inzhi Engineering LLC, Irkutsk, Russian Federation
4 Kaliningrad Amber Plant JSC, Yantarny settlement, Kaliningrad region, Russian Federation
Russian Mining Industry №2 / 2020 pp. 121-124
Abstract: Current level of amber processing technologies requires a comprehensive analysis of existing methods and means with an emphasis on extended continuity. The development of the real science demands complex qualitative experiments and is related to processing of a large number of measurement results. These measurements are possible with analtically selected software products, i.e. PTC Mathcad, SciPy, Maxima, Xcos, and related methods of accumulated data analysis. Execution of any experiment is a part of the modeling process, which aims to use the designed model for practical application, e.g. performing calculations of various devices, installations, etc., or for further development of the theory and practice of the amber processing technologies. In order to perform approximation of the experimental data, a review and analysis of the available approximation approaches, models and techniques were carried out; the choice of the applied method was justified, a way to implement the software system to perform the approximation was selected; reliability of the obtained models was assessed using the correlation and regression methods, and the convergence of these models with the laboratory, semi-industrial and industrial tests results was made. The paper reviews a combination of a model, a method and software tools that adequately reflects the experimental data and can be used for practical application at various stages of amber processing. The absence of experience gained by foreign and domestic enterprises that could be used in the development and enhancement of the amber processing technology, makes the use of special processing methods relevant and promising in this case.
Keywords: approximation, methods, models, production, modeling, sorting, amber
For citation: M.A. Perepelkin, V.V. Kurbatova, V.I. Sklyanov, V.V.Tutunin, M.V. Kozlov. Approximation and continuous integration amber enrichment experimental data. Gornaya promyshlennost = Russian Mining Industry. 2020;(2):121-124. (In Russ.) DOI: 10.30686/1609-9192-2020-2-121-124.
Article info:
Received: 19.04.2020
Revised: 26.04.2020
Accepted: 04.05.2020
Information about the author
Perepelkin Mikhail Alexandrovich – candidate of technical sciences, Associate Professor of the Department of Road Transport, Associate Professor of the Department of Mining, North-East State University, the city of Magadan, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Kurbatova Veronika Vladimirovna – candidate of technical sciences, Associate Professor of the Department of Mining, North-East State University, the city of Magadan, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Sklyanov Vladimir Ivanovich – candidate of technical sciences, head of the department of development of mineral deposits, Norilsk State Industrial Institute, Norilsk, Russian Federation; This email address is being protected from spambots. You need JavaScript enabled to view it.
Tyutyunin Vedeney Viktorovich – candidate of technical sciences, Director, LLC “Inzhi Engineering”, Irkutsk, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Kozlov Mikhail Vladimirovich – Head of Development and Construction Services, Kaliningrad Amber Plant JSC, Yantarny settlement, Kaliningrad Region, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
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