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CFD Model Studies of Dust Dispersion in Driven Dog Headings

Author

Listed:
  • Magdalena Tutak

    (Faculty of Mining, Safety Engineering and Industrial Automation, Silesian University of Technology, 41-800 Zabrze, Poland)

  • Jarosław Brodny

    (Faculty of Organization and Management, Silesian University of Technology, Roosevelta 26-28, 41-800 Zabrze, Poland)

  • Antoni John

    (Faculty of Mechanical Engineering, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Poland)

  • Janos Száva

    (Department of Mechanical Engineering, Transilvania University of Brasov, B-dul Eroilor, 29, 500036 Brasov, Romania)

  • Sorin Vlase

    (Department of Mechanical Engineering, Transilvania University of Brasov, B-dul Eroilor, 29, 500036 Brasov, Romania
    Romanian Academy of Technical Sciences, 010071 Bucharest, Romania)

  • Maria Luminita Scutaru

    (Department of Mechanical Engineering, Transilvania University of Brasov, B-dul Eroilor, 29, 500036 Brasov, Romania)

Abstract

Dust is one of the most burdensome hazards found in the environment. It is composed of crushed solids that pose a threat to the health and life of people, machines and machine components. At high concentration levels, it can reduce visibility. All of these negative phenomena occur during the process of underground mining, where dust hazards are common. The negative impact of dust on the efficacy of the mining process prompts research in this area. The following study presents a method developed for model studies of dust dispersion in driven dog headings. This issue is immensely important due to the fact that these dog headings belong to a group of unidirectional excavations (including tunnelling). This paper presents the results of model studies on dust dispersion in driven dog headings. The main focus is on the analysis of the distribution of dust concentration along a dog heading during the mining process. In order to achieve this goal, a model test method based on the finite volume method, which is included in the group of CFD methods, was developed. Analyses were carried out for two different values of dust emission from the face of the excavation for the transient state. The results made it possible to determine areas with the highest potential for dust concentration. The size and location of these areas are mainly dependent on the amount of dust emissions during the mining process. The results can support the process of managing dust prevention and protection of workers during the mining excavation process.

Suggested Citation

  • Magdalena Tutak & Jarosław Brodny & Antoni John & Janos Száva & Sorin Vlase & Maria Luminita Scutaru, 2022. "CFD Model Studies of Dust Dispersion in Driven Dog Headings," Mathematics, MDPI, vol. 10(20), pages 1-12, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:20:p:3798-:d:942831
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    References listed on IDEAS

    as
    1. Jarosław Brodny & Magdalena Tutak, 2018. "Exposure to Harmful Dusts on Fully Powered Longwall Coal Mines in Poland," IJERPH, MDPI, vol. 15(9), pages 1-16, August.
    2. Bingcheng Li & Min Zeng & Qiuwang Wang, 2022. "Numerical Simulation of Erosion Wear for Continuous Elbows in Different Directions," Energies, MDPI, vol. 15(5), pages 1-22, March.
    Full references (including those not matched with items on IDEAS)

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