Comparison of underground mine DPM simulation using discrete phase and continuous phase models
[Display omitted] •CFD modelling of diesel particulate matter distribution were established.•Species transport, Eulerian-Eulerian and Eulerian-Lagrangian methods are used.•Strength and weakness of different methods are compared and analysed. Diesel particulate matter (DPM) is carcinogenic to humans....
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Veröffentlicht in: | Process safety and environmental protection 2019-07, Vol.127, p.45-55 |
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creator | Chang, Ping Xu, Guang Zhou, Fubao Mullins, Benjamin Abishek, S. |
description | [Display omitted]
•CFD modelling of diesel particulate matter distribution were established.•Species transport, Eulerian-Eulerian and Eulerian-Lagrangian methods are used.•Strength and weakness of different methods are compared and analysed.
Diesel particulate matter (DPM) is carcinogenic to humans. DPM concentrations in underground mines are much higher than other working environments, thus pose substantial health threats to miners due to overexposure. Computational fluid dynamics is commonly used to study the DPM dispersion and assess the concentration distribution in various working environments. However, most such studies for underground mines treated DPM as a continuous phase (gas phase) in the model. DPM is a solid discrete phase, and its behaviours could be quite different from that of gaseous contaminants. This study compared DPM concentration distributions by using three modelling methods: the Eulerian-Lagrangian method and the Eulerian-Eulerian method that treats DPM as discrete phase particles, and the species transport method that treats DPM as a continuous phase gas. The model was based on a typical underground mine development face with a forcing auxiliary ventilation setup. It was found that the general DPM concentration distribution for the three numerical methods was similar for simple geometry with more uniform flow regions. However, large discrepancies existed in the development heading with complex geometry and flow features. The findings suggest that when simulating DPM, although the species transport method can provide relatively accurate results with much less computational time, the parameters of the modelled gas need to be carefully calibrated to get a better simulation result. For key areas where the diesel machinery and miners are usually located, the Eulerian-Lagrangian method should be used for more accurate analysis. |
doi_str_mv | 10.1016/j.psep.2019.04.027 |
format | Article |
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•CFD modelling of diesel particulate matter distribution were established.•Species transport, Eulerian-Eulerian and Eulerian-Lagrangian methods are used.•Strength and weakness of different methods are compared and analysed.
Diesel particulate matter (DPM) is carcinogenic to humans. DPM concentrations in underground mines are much higher than other working environments, thus pose substantial health threats to miners due to overexposure. Computational fluid dynamics is commonly used to study the DPM dispersion and assess the concentration distribution in various working environments. However, most such studies for underground mines treated DPM as a continuous phase (gas phase) in the model. DPM is a solid discrete phase, and its behaviours could be quite different from that of gaseous contaminants. This study compared DPM concentration distributions by using three modelling methods: the Eulerian-Lagrangian method and the Eulerian-Eulerian method that treats DPM as discrete phase particles, and the species transport method that treats DPM as a continuous phase gas. The model was based on a typical underground mine development face with a forcing auxiliary ventilation setup. It was found that the general DPM concentration distribution for the three numerical methods was similar for simple geometry with more uniform flow regions. However, large discrepancies existed in the development heading with complex geometry and flow features. The findings suggest that when simulating DPM, although the species transport method can provide relatively accurate results with much less computational time, the parameters of the modelled gas need to be carefully calibrated to get a better simulation result. For key areas where the diesel machinery and miners are usually located, the Eulerian-Lagrangian method should be used for more accurate analysis.</description><identifier>ISSN: 0957-5820</identifier><identifier>EISSN: 1744-3598</identifier><identifier>DOI: 10.1016/j.psep.2019.04.027</identifier><language>eng</language><publisher>Rugby: Elsevier B.V</publisher><subject>Carcinogens ; Computational fluid dynamics ; Computer applications ; Computer simulation ; Computing time ; Contaminants ; Diesel ; Diesel particulate matter ; Eulerian-Eulerian method ; Eulerian-Lagrangian method ; Fluid dynamics ; Health risks ; Hydrodynamics ; Mathematical models ; Mine ventilation ; Miners ; Mines ; Numerical methods ; Occupational health ; Particulate emissions ; Particulate matter ; Species transport method ; Transport ; Underground mines ; Uniform flow ; Vapor phases ; Ventilation</subject><ispartof>Process safety and environmental protection, 2019-07, Vol.127, p.45-55</ispartof><rights>2019 Institution of Chemical Engineers</rights><rights>Copyright Elsevier Science Ltd. Jul 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-ab6b1e8b29c3c4b14c7702d14d85e59f9d2450ef25abed1279317e779993c2f43</citedby><cites>FETCH-LOGICAL-c365t-ab6b1e8b29c3c4b14c7702d14d85e59f9d2450ef25abed1279317e779993c2f43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0957582019300539$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Chang, Ping</creatorcontrib><creatorcontrib>Xu, Guang</creatorcontrib><creatorcontrib>Zhou, Fubao</creatorcontrib><creatorcontrib>Mullins, Benjamin</creatorcontrib><creatorcontrib>Abishek, S.</creatorcontrib><title>Comparison of underground mine DPM simulation using discrete phase and continuous phase models</title><title>Process safety and environmental protection</title><description>[Display omitted]
•CFD modelling of diesel particulate matter distribution were established.•Species transport, Eulerian-Eulerian and Eulerian-Lagrangian methods are used.•Strength and weakness of different methods are compared and analysed.
Diesel particulate matter (DPM) is carcinogenic to humans. DPM concentrations in underground mines are much higher than other working environments, thus pose substantial health threats to miners due to overexposure. Computational fluid dynamics is commonly used to study the DPM dispersion and assess the concentration distribution in various working environments. However, most such studies for underground mines treated DPM as a continuous phase (gas phase) in the model. DPM is a solid discrete phase, and its behaviours could be quite different from that of gaseous contaminants. This study compared DPM concentration distributions by using three modelling methods: the Eulerian-Lagrangian method and the Eulerian-Eulerian method that treats DPM as discrete phase particles, and the species transport method that treats DPM as a continuous phase gas. The model was based on a typical underground mine development face with a forcing auxiliary ventilation setup. It was found that the general DPM concentration distribution for the three numerical methods was similar for simple geometry with more uniform flow regions. However, large discrepancies existed in the development heading with complex geometry and flow features. The findings suggest that when simulating DPM, although the species transport method can provide relatively accurate results with much less computational time, the parameters of the modelled gas need to be carefully calibrated to get a better simulation result. For key areas where the diesel machinery and miners are usually located, the Eulerian-Lagrangian method should be used for more accurate analysis.</description><subject>Carcinogens</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Computer simulation</subject><subject>Computing time</subject><subject>Contaminants</subject><subject>Diesel</subject><subject>Diesel particulate matter</subject><subject>Eulerian-Eulerian method</subject><subject>Eulerian-Lagrangian method</subject><subject>Fluid dynamics</subject><subject>Health risks</subject><subject>Hydrodynamics</subject><subject>Mathematical models</subject><subject>Mine ventilation</subject><subject>Miners</subject><subject>Mines</subject><subject>Numerical methods</subject><subject>Occupational health</subject><subject>Particulate emissions</subject><subject>Particulate matter</subject><subject>Species transport method</subject><subject>Transport</subject><subject>Underground mines</subject><subject>Uniform flow</subject><subject>Vapor phases</subject><subject>Ventilation</subject><issn>0957-5820</issn><issn>1744-3598</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKxDAUhoMoOI6-gKuC69YkTSYNuJHxCiO60K0hTU7HlGlSk1bw7W2ZWbs6cPj-c_kQuiS4IJisrtuiT9AXFBNZYFZgKo7QggjG8pLL6hgtsOQi5xXFp-gspRZjTKggC_S5Dl2vo0vBZ6HJRm8hbmOYatY5D9nd20uWXDfu9OAmZEzObzPrkokwQNZ_6QSZnmAT_OD8GMZ0aHbBwi6do5NG7xJcHOoSfTzcv6-f8s3r4_P6dpObcsWHXNermkBVU2lKw2rCjBCYWsJsxYHLRlrKOIaGcl2DnS6XJREghJSyNLRh5RJd7ef2MXyPkAbVhjH6aaWilMuSSSZmiu4pE0NKERrVR9fp-KsIVrNH1arZo5o9KszU5HEK3exD0zvw4yCqZBx4A9ZFMIOywf0X_wM7h3zv</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Chang, Ping</creator><creator>Xu, Guang</creator><creator>Zhou, Fubao</creator><creator>Mullins, Benjamin</creator><creator>Abishek, S.</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TB</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>SOI</scope></search><sort><creationdate>20190701</creationdate><title>Comparison of underground mine DPM simulation using discrete phase and continuous phase models</title><author>Chang, Ping ; Xu, Guang ; Zhou, Fubao ; Mullins, Benjamin ; Abishek, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-ab6b1e8b29c3c4b14c7702d14d85e59f9d2450ef25abed1279317e779993c2f43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Carcinogens</topic><topic>Computational fluid dynamics</topic><topic>Computer applications</topic><topic>Computer simulation</topic><topic>Computing time</topic><topic>Contaminants</topic><topic>Diesel</topic><topic>Diesel particulate matter</topic><topic>Eulerian-Eulerian method</topic><topic>Eulerian-Lagrangian method</topic><topic>Fluid dynamics</topic><topic>Health risks</topic><topic>Hydrodynamics</topic><topic>Mathematical models</topic><topic>Mine ventilation</topic><topic>Miners</topic><topic>Mines</topic><topic>Numerical methods</topic><topic>Occupational health</topic><topic>Particulate emissions</topic><topic>Particulate matter</topic><topic>Species transport method</topic><topic>Transport</topic><topic>Underground mines</topic><topic>Uniform flow</topic><topic>Vapor phases</topic><topic>Ventilation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chang, Ping</creatorcontrib><creatorcontrib>Xu, Guang</creatorcontrib><creatorcontrib>Zhou, Fubao</creatorcontrib><creatorcontrib>Mullins, Benjamin</creatorcontrib><creatorcontrib>Abishek, S.</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Process safety and environmental protection</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chang, Ping</au><au>Xu, Guang</au><au>Zhou, Fubao</au><au>Mullins, Benjamin</au><au>Abishek, S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of underground mine DPM simulation using discrete phase and continuous phase models</atitle><jtitle>Process safety and environmental protection</jtitle><date>2019-07-01</date><risdate>2019</risdate><volume>127</volume><spage>45</spage><epage>55</epage><pages>45-55</pages><issn>0957-5820</issn><eissn>1744-3598</eissn><abstract>[Display omitted]
•CFD modelling of diesel particulate matter distribution were established.•Species transport, Eulerian-Eulerian and Eulerian-Lagrangian methods are used.•Strength and weakness of different methods are compared and analysed.
Diesel particulate matter (DPM) is carcinogenic to humans. DPM concentrations in underground mines are much higher than other working environments, thus pose substantial health threats to miners due to overexposure. Computational fluid dynamics is commonly used to study the DPM dispersion and assess the concentration distribution in various working environments. However, most such studies for underground mines treated DPM as a continuous phase (gas phase) in the model. DPM is a solid discrete phase, and its behaviours could be quite different from that of gaseous contaminants. This study compared DPM concentration distributions by using three modelling methods: the Eulerian-Lagrangian method and the Eulerian-Eulerian method that treats DPM as discrete phase particles, and the species transport method that treats DPM as a continuous phase gas. The model was based on a typical underground mine development face with a forcing auxiliary ventilation setup. It was found that the general DPM concentration distribution for the three numerical methods was similar for simple geometry with more uniform flow regions. However, large discrepancies existed in the development heading with complex geometry and flow features. The findings suggest that when simulating DPM, although the species transport method can provide relatively accurate results with much less computational time, the parameters of the modelled gas need to be carefully calibrated to get a better simulation result. For key areas where the diesel machinery and miners are usually located, the Eulerian-Lagrangian method should be used for more accurate analysis.</abstract><cop>Rugby</cop><pub>Elsevier B.V</pub><doi>10.1016/j.psep.2019.04.027</doi><tpages>11</tpages></addata></record> |
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subjects | Carcinogens Computational fluid dynamics Computer applications Computer simulation Computing time Contaminants Diesel Diesel particulate matter Eulerian-Eulerian method Eulerian-Lagrangian method Fluid dynamics Health risks Hydrodynamics Mathematical models Mine ventilation Miners Mines Numerical methods Occupational health Particulate emissions Particulate matter Species transport method Transport Underground mines Uniform flow Vapor phases Ventilation |
title | Comparison of underground mine DPM simulation using discrete phase and continuous phase models |
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