Poluliakh A.D., Poluliakh D.A., Kostyria S.V., Kabakova L.B. Extractions of size granding classes in undersize

Geoteh. meh. 2019, 145, 66-76

https://doi.org/10.1051/e3sconf/201910900070

EXTRACTIONS OF SIZE GRANDING CLASSES IN UNDERSIZE

1Poluliakh A.D., 2Poluliakh D.A., 3KostyriaS.V., 3Kabakova L.B.

1ME «Ukrndivuhlezbahachennya» SE «Vuhleinnovatsiya», 2National Technical University Dnipro Polytechnic, 3Institute of Geotechnical Mechanics named by N. Poljakov of National Academy of Sciences of Ukraine

UDC  622.74                                                      

Language: English

Abstract.

The first technological operation is carried out using dry screening, the second is wet screening, and the third is desliming.

In order to calculate the indices of the indicated technological operations, it is necessary to establish the values of the extraction of the fineness classes of the starting material in the sublattice product and the moisture content of the oversize product. Loads and operating parameters of the equipment corresponded to the passport data. With dry preparatory screening, the boundary size of the separation was 50, 25, 13, and 6 mm, with wet – 13 mm, and with desliming - 0.5; 1.0 and 2.0 mm.

On the basis of averaging 544 balances of particle size distribution of screening products, the coefficients of extracting the size classes into the sublattice product are established for dry and wet preparatory screening of raw coal and de-slurring of a small machine class.

Studies have shown that with an increase in the size of the openings of the working surface of the screens, these coefficients increase. In addition, with a decrease in the boundary fineness of separation, the output of the under-sieve product sharply decreases. With these sizes of separation, the difference between the yields of the under-sieve products of adjacent sieves is on average 10% (absolute).

The article presents the calculations of the coefficient of humidity reduction for an oversize product produced by the formulas. From the above data it follows that with a decrease in the boundary fineness of separation, the moisture of the oversize product in comparison with the moisture content of the starting material decreases due to the allocation of the wettest fineness classes.

These dependencies can be used to calculate the qualitative and quantitative indicators of the preparation of machine classes from raw coal, and using the fractional compositions of the particle sizes of raw coal, it is possible to determine the fractional compositions of the machine classes and their categories of enrichment, and, consequently, the rate of contamination of the products of subsequent enrichment operations.

Keywords: raw coal, preparatory screening, engine class, extraction of size classes.

 

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About the authors

Poluliakh Oleksandr Danylovych, Doctor of Technical Sciences (D,Sc.), Profesor, Chief Researcher, Separate Unit “Ukrainian Research and Design Institute for Coal Processing and Bracketing” of the State Enterprise “Scientific and Technical Center“ Uglinovatsiya ”, Dnipro, Ukraine, tehotdel.ukrnii @ gmail.com

Poluliakh Danylo Oleksandrovych, Candidate of Technical Sciences (Ph.D.), Associate Professor, Associate Professor in the Department of Mineral Processing, National Technical University "Dnipro Polytechnic", Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.

Kostyria Sergii Volodymyrovych, Master of Science, Junior Researcher in the Department of Geodynamic Systems and Vibration Technologies, Institute of Geotechnical Mechanics named by N. Poljakov of National Academy of Sciences of Ukraine (IGTM, NAS of Ukraine),  Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.

Kabakova Liudmyla Borysivna, Candidate of Technical Sciences (Ph.D.), Senior Researcher in the Department of Vibratory Pneumatic Transporting Systems and Complexes, Institute of Geotechnical Mechanics named by N. Poljakov of National Academy of Sciences of Ukraine (IGTM, NAS of Ukraine),  Dnipro, Ukraine