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Numerical study on DPM dispersion and distribution in an underground development face based on dynamic mesh

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Title: Numerical study on DPM dispersion and distribution in an underground development face based on dynamic mesh
Authors: Ping Chang, Guang Xu, Jinxin Huang
Source: International Journal of Mining Science and Technology, Vol 30, Iss 4, Pp 471-475 (2020)
Publisher Information: Elsevier, 2020.
Publication Year: 2020
Collection: LCC:Mining engineering. Metallurgy
Subject Terms: Diesel particulate matter, Underground mines, Ventilation, Computational fluid dynamics, Dynamic mesh, Mining engineering. Metallurgy, TN1-997
More Details: In 2012, the International Agency for Research on Cancer (IARC) classified diesel particulate matter (DPM) as a carcinogen to human. With the increased usage of diesel equipment in underground mines, miners have a high risk of over-exposure to DPM, which has drawn many concerns from the public. This study used computational fluid dynamics (CFD) to analyse the DPM dispersion and concentration distribution characteristics in an underground development face based on an onsite experiment. The DPM emitted from a moving loader under a forcing auxiliary ventilation system was simulated. The motion of the load-haul-dump (LHD) in the tunnel was represented by a dynamic mesh method. The species transport approach was applied to study the DPM behaviours. High DPM concentration zones were then identified based on the simulation results. The results could provide guidelines for work practices and be helpful to an optimum auxiliary ventilation design to reduce underground miner exposure.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2095-2686
Relation: http://www.sciencedirect.com/science/article/pii/S2095268620304092; https://doaj.org/toc/2095-2686
DOI: 10.1016/j.ijmst.2020.05.005
Access URL: https://doaj.org/article/b7fb87f950da4187890347a1ca80b06e
Accession Number: edsdoj.b7fb87f950da4187890347a1ca80b06e
Database: Directory of Open Access Journals
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  Data: Numerical study on DPM dispersion and distribution in an underground development face based on dynamic mesh
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  Data: <searchLink fieldCode="AR" term="%22Ping+Chang%22">Ping Chang</searchLink><br /><searchLink fieldCode="AR" term="%22Guang+Xu%22">Guang Xu</searchLink><br /><searchLink fieldCode="AR" term="%22Jinxin+Huang%22">Jinxin Huang</searchLink>
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  Data: International Journal of Mining Science and Technology, Vol 30, Iss 4, Pp 471-475 (2020)
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  Data: Elsevier, 2020.
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  Data: 2020
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  Data: LCC:Mining engineering. Metallurgy
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  Data: <searchLink fieldCode="DE" term="%22Diesel+particulate+matter%22">Diesel particulate matter</searchLink><br /><searchLink fieldCode="DE" term="%22Underground+mines%22">Underground mines</searchLink><br /><searchLink fieldCode="DE" term="%22Ventilation%22">Ventilation</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+fluid+dynamics%22">Computational fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+mesh%22">Dynamic mesh</searchLink><br /><searchLink fieldCode="DE" term="%22Mining+engineering%2E+Metallurgy%22">Mining engineering. Metallurgy</searchLink><br /><searchLink fieldCode="DE" term="%22TN1-997%22">TN1-997</searchLink>
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  Data: In 2012, the International Agency for Research on Cancer (IARC) classified diesel particulate matter (DPM) as a carcinogen to human. With the increased usage of diesel equipment in underground mines, miners have a high risk of over-exposure to DPM, which has drawn many concerns from the public. This study used computational fluid dynamics (CFD) to analyse the DPM dispersion and concentration distribution characteristics in an underground development face based on an onsite experiment. The DPM emitted from a moving loader under a forcing auxiliary ventilation system was simulated. The motion of the load-haul-dump (LHD) in the tunnel was represented by a dynamic mesh method. The species transport approach was applied to study the DPM behaviours. High DPM concentration zones were then identified based on the simulation results. The results could provide guidelines for work practices and be helpful to an optimum auxiliary ventilation design to reduce underground miner exposure.
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      – Text: English
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        PageCount: 5
        StartPage: 471
    Subjects:
      – SubjectFull: Diesel particulate matter
        Type: general
      – SubjectFull: Underground mines
        Type: general
      – SubjectFull: Ventilation
        Type: general
      – SubjectFull: Computational fluid dynamics
        Type: general
      – SubjectFull: Dynamic mesh
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      – SubjectFull: Mining engineering. Metallurgy
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            NameFull: Guang Xu
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            NameFull: Jinxin Huang
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