Estimation of predictive dust content in the faces of coal mines taking into account the peculiarities of the wettability of coal dust

The actual dust situation in shortwall and longwall faces of coal mines remains the most unfavorable and largely depends on the effectiveness of dust dedusting measures. The selection of dedusting measures is carried out on the basis of the predicted dust content. The formulas, which used for its calculation, do not take into account the time and specifics of the wetting of coal dust with solutions of mine wetting agents, and therefore do not reflect to the extent the real state of the mine atmosphere in terms of the dust factor. The paper shows the shortcomings of the existing methodology for assessing the predictive dust content in the faces of coal mines; the indicators of specific dust emission of coal seams mined at the mines of JSC «SUEK-Kuzbass» are analyzed; the results of studies of the wettability of coal dust of various compositions and measurements of dust content in the working faces of coal mines carried out by the authors are given. Based on the totality of experimentally obtained data and analyzed cumulative factors, using the methods of correlation-regression analysis, a multiple linear regression to calculate the predicted dust content was obtained. The proposed formula has an impact on the dust content of a number of mining-geological and physical characteristics of coal seams and mining parameters of their processing. To calculate the wetting time of coal dust, which determines in a wide range the features of its soaring and sedimentation rate, a formula is proposed. Formula takes into account the variability of the physicochemical properties of coal dust of dense petrographic composition, the type of wetting agent and the concentration of its working solution.

Kornev A. V., Ledyaev N. V., Kabanov E. I., Korneva M. V. Estimation of predictive dust content in the faces of coal mines taking into account the peculiarities of the wettability of coal dust. MIAB. Mining Inf. Anal. Bull. 2022;(6−2):115—134. [In Russ]. DOI: 10.25018/0236_1493_2022_62_0_115.

Kornev A. V., Cand. Sci. (Eng.), Head of the Laboratory, Associate Professor at the Department of Industrial Safety, https://orcid.org/0000-0001-6371-9969, Saint Petersburg Mining University, 199106, St. Petersburg, 21st Line V. I., 2, Russia,
e-mail: Kornev_AV@pers.spmi.ru;
Ledyaev N. V., Head of Enterprise Emergency Stability Department, JSC «SUEK-Kuzbass», 652507, Leninsk-Kuzneckij, Vasil’eva, 1, Russia, e-mail: ledyaevnv@suek.ru;
Kabanov E. I., Cand. Sci. (Eng.), Assistant at the Department of Industrial Safety, https://orcid.org/0000-0001-7580-9099, Saint Petersburg Mining University, 199106, St. Petersburg, 21st Line V. I., 2, Russia, e-mail: Kabanov_EI@pers.spmi.ru;
Korneva M. V., Cand. Sci. (Eng.), Leading Engineer of the Department of Methodological Support of the Educational Process, Saint Petersburg Mining University, 199106, St. Petersburg, 21st Line V. I., 2, Russia, e-mail: Korneva_MV@pers.spmi.ru.

Kornev A. V., e-mail: Kornev_AV@pers.spmi.ru.

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