CFD Model Studies of Dust Dispersion in Driven Dog Headings

Magdalena Tutak, Jarosław Brodny, Antoni John, Janos Száva (), Sorin Vlase and Maria Luminita Scutaru ()
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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
Maria Luminita Scutaru: Department of Mechanical Engineering, Transilvania University of Brasov, B-dul Eroilor, 29, 500036 Brasov, Romania

Mathematics, 2022, vol. 10, issue 20, 1-12

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.

Keywords: dust dispersion; driven dog heading; CFD model; underground mining (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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