An increase in the rate of mine workings excavation leads to the ingress of large amount of dust into the mine atmosphere. Ensuring the aerological safety of coal mines drifting faces according to the dust factor is an urgent task.
To reduce the level of dustiness of a dead mine roadheading during its sinking, the scrubbers built into the roadheader are used. In this case, the joint operation of the ventilation system and the dust extraction system is not considered. This leads to the risk of occurrence of the stagnation zones or air recirculation near the bottom-hole area. At the intensive ventilation with a high air flow, the dust is removed, and the dust extraction system becomes useless. As the analysis showed, currently there are no methods that allow to take into account these two processes simultaneously.
The idea of using computer modeling in the Ansys software package is proposed. To correctly solve the problems of optimizing the scrubber operation, a method is given for determining the grid parameters, as well as for setting the initial and boundary conditions. All the data obtained were verified at the coal mines of Russia.
To achieve maximum efficiency, it is proposed to use the dust and aerodynamic criteria of the scrubber operation, which will allow to increase the mining operations safety. The dust criterion characterizes the efficiency of the dust extraction systems. The aerodynamic criterion allows to determine the joint operation mode in which there will be no recirculation and not ventilated zones.
To take into account the large number of factors that affect the ventilation of a dead mine working and the operation of the dust extraction system, an artificial intelligence was added to computer modeling in system design. It is implemented in the ANSYS DesignXplorer module.
In a given range of changing factors during the operation of artificial intelligence, by performing multiple calculations, such a combination of operating parameters of the two systems is obtained, at which the efficiency is maximum.
2. Korshunov G., Nikulin A., Kovshov S., Mrackova E. Review of Dust Deposition and Dust Explosion Proofness in Mine Workings. Fire protection, Safety and Security 2017: International Scientific Conference. Zvolen: Technical University in Zvolen, 2017. pp. 86–93.
3. Trubitsyn A.A., Trubitsyna N.V., Podobrazhin S.N. Efficiency of application of new liquid wetting agent «Neolas» for dust control. Bezopasnost Truda v Promyshlennosti = Occupational Safety in Industry. 2003. № 9. pp. 18–19. (In Russ.).
4. Gendler S.G., Rudakov M.L., Kuznetsov V.S. Evaluation Principles of the Dust Influence of Mining Enterprises on the Environment. Latvian Journal of Physics and Technical Sciences. 2019. Vol. 56. Iss. 3. pp. 62–69. DOI: 10.2478/lpts-2019-0020
5. Patts J.R., Colinet J.F., Janisko S.J., Barone T.L., Patts L.D. Reducing float coal dust: Field evaluation of an inline auxiliary fan scrubber. Mining Engineering. 2016. Vol. 68. Iss. 12. pp. 63–68. DOI: 10.19150/me.6883
6. Wimshurst A. Fluid Mechanics 101. Calculators & Tools. Available at: https://www.fluidmechanics101.com/pages/tools.html (accessed: July 2, 2020).
7. ANSYS Fluent Tutorial Guide. Release 18.0. Available at: http://users.abo.fi/rzevenho/ansys%20fluent%2018%20tutorial%20guide.pdf (accessed: July 2, 2020).
8. Kobylkin A.S. Dust distribution at a coal shearer in the face area. Gornyy informatsionno-analiticheskiy byulleten = Mining Informational and Analytical Bulletin. 2020. № 6-1. pp. 65–73. (In Russ.). DOI: 10.25018/0236-1493-2020-61-0-65-73
9. Arya S., Novak T. Numerical Investigation of the Effect of a Novel Wet Scrubber on Dust Reduction in an Underground Coal Mine. Mining, Metallurgy and Exploration. 2020. Vol. 37. pp. 129–139. DOI: 10.1007/s42461-019-00135-2
10. Arya S., Sottile J., Rider J.P., Colinet J.F., Novak T., Wedding C. Design and experimental evaluation of a flooded-bed dust scrubber integrated into a longwall shearer. Powder Technology. 2018. Vol. 339. pp. 487–496.
11. Puchkov L.A., Kaledina N.O., Kobylkin S.S. Systemic approach to reducing methane explosion hazard in coal mines. Eurasian Mining. 2015. № 2. pp. 3–6. DOI: 10.17580/em.2015.02.01
12. Puchkov L.A., Kaledina N.O., Kobylkin S.S. System solutions for ensuring coal mines methane safety. Gornyi zhurnal = Mining journal. 2014. № 5. pp. 12–16. (In Russ.).
13. Kobylkin A., Musina V., Batugin A., Ponomarev V., Vorobyeva O., Vishnevskaya E. Modeling of Aerodynamic Process for Coal Waste Dump Located in Geodynamically Dangerous Zone. Available at: https://iopscience.iop.org/article/10.1088/1755-1315/221/1/012087/pdf (accessed: July 2, 2020). DOI: 10.1088/1755-1315/221/1/012087
14. Levin L.Yu., Semin M.A., Klyukin Yu.A. Estimation of wall roughness functions acceptability in CFD simulation of mine ventilation networks. Available at: http://www.ipme.ru/ipme/conf/APM2014/2014-PDF/2014-025.pdf (accessed: July 2, 2020).
