Numerical study of diesel particulate matter distribution in an underground mine isolated zone

The increased use of diesel engines in underground mines, together with increased mine depth, cause challenges in maintaining diesel particulate matter (DPM) at acceptable levels in underground environments. In 2012, the International Agency for Research on Cancer (IARC) classified DPM as carcinogen...

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Main Authors: Xu, Guang, Chang, P., Mullins, B., Zhou, F., Hu, S.
Format: Journal Article
Published: Elsevier 2018
Online Access:http://hdl.handle.net/20.500.11937/71406
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author Xu, Guang
Chang, P.
Mullins, B.
Zhou, F.
Hu, S.
author_facet Xu, Guang
Chang, P.
Mullins, B.
Zhou, F.
Hu, S.
author_sort Xu, Guang
building Curtin Institutional Repository
collection Online Access
description The increased use of diesel engines in underground mines, together with increased mine depth, cause challenges in maintaining diesel particulate matter (DPM) at acceptable levels in underground environments. In 2012, the International Agency for Research on Cancer (IARC) classified DPM as carcinogenic to humans. To control the DPM exposure, it is important to understand DPM distribution and dispersion characteristics. In this study, an isolated zone in an underground mine in the US was taken as the physical model and the computational fluid dynamics (CFD) method was used to study the DPM distribution for two operational scenarios. The simulation results were compared with existing validation data. Compared to studies that treat DPM as a continuous phase, a better agreement with the experimental data is achieved in this study which uses the discrete phase to represent DPM. High DPM concentrations were identified in the two scenarios. This information can be potentially used to optimise auxiliary ventilation designs.
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institution Curtin University Malaysia
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publishDate 2018
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spelling curtin-20.500.11937-714062019-02-12T05:44:39Z Numerical study of diesel particulate matter distribution in an underground mine isolated zone Xu, Guang Chang, P. Mullins, B. Zhou, F. Hu, S. The increased use of diesel engines in underground mines, together with increased mine depth, cause challenges in maintaining diesel particulate matter (DPM) at acceptable levels in underground environments. In 2012, the International Agency for Research on Cancer (IARC) classified DPM as carcinogenic to humans. To control the DPM exposure, it is important to understand DPM distribution and dispersion characteristics. In this study, an isolated zone in an underground mine in the US was taken as the physical model and the computational fluid dynamics (CFD) method was used to study the DPM distribution for two operational scenarios. The simulation results were compared with existing validation data. Compared to studies that treat DPM as a continuous phase, a better agreement with the experimental data is achieved in this study which uses the discrete phase to represent DPM. High DPM concentrations were identified in the two scenarios. This information can be potentially used to optimise auxiliary ventilation designs. 2018 Journal Article http://hdl.handle.net/20.500.11937/71406 10.1016/j.powtec.2018.08.075 Elsevier restricted
spellingShingle Xu, Guang
Chang, P.
Mullins, B.
Zhou, F.
Hu, S.
Numerical study of diesel particulate matter distribution in an underground mine isolated zone
title Numerical study of diesel particulate matter distribution in an underground mine isolated zone
title_full Numerical study of diesel particulate matter distribution in an underground mine isolated zone
title_fullStr Numerical study of diesel particulate matter distribution in an underground mine isolated zone
title_full_unstemmed Numerical study of diesel particulate matter distribution in an underground mine isolated zone
title_short Numerical study of diesel particulate matter distribution in an underground mine isolated zone
title_sort numerical study of diesel particulate matter distribution in an underground mine isolated zone
url http://hdl.handle.net/20.500.11937/71406