Dispersion and migration characteristics of multisource respirable dust in development panels during tunnelling processes Article Swipe
Ming Qiao
,
Jon Roberts
,
Ting Ren
,
Jennifer Hines
,
Jianming Wu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.tust.2024.105778
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.tust.2024.105778
Underground miners in Australia are facing continued threats from dust-related diseases. To address these issues, improved knowledge of airflow migration patterns and respirable dust dispersion characteristics within a continuous-miner-driven heading under an exhausting ventilation system is required. Based on site-specific conditions of a development heading in New South Wales, a three-dimensional computational fluid dynamics (CFD) model was constructed and validated with onsite dust monitoring data, where a good agreement was achieved. Three scenarios of coal cutting at the middle, floor and roof positions were considered and simulated, with dust generated at four different sources. The simulation results indicated that the operators on the left-hand-side (LHS) with the extraction duct should be equipped with fit-for-purpose personal protective equipment and stay behind the ventilation duct inlet during coal cutting process, while miners standing at the right-hand-side (RHS) of the continuous miner for roof and rib bolting and machine operating should stay immediately behind the roof and rib bolting rig where dust concentration is relatively low. In addition, an increase in airflow rate through the exhausting ventilation duct or a reduction in the distance from the duct inlet to the heading face assisted in reducing dust levels within the heading, particularly at the LHS of the continuous miners. Finally, compared to the scenario of the current ventilation scheme, an on-board exhausting ventilation system could improve dust removal performance, with dust concentration at the breathing level reducing by approximately 43.6%. This modelling study can advance the understanding of multi-source dust diffusion characteristics in the heading face and provide guidance on dust mitigation, thus improving the health and safety of miners and creating a cleaner underground working environment.
Related Topics
Concepts
Duct (anatomy)
Roof
Coal mining
Airflow
Ventilation (architecture)
Inlet
Computational fluid dynamics
Engineering
Heading (navigation)
Mining engineering
Marine engineering
Environmental science
Coal
Structural engineering
Mechanical engineering
Waste management
Aerospace engineering
Pathology
Medicine
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.tust.2024.105778
- OA Status
- hybrid
- Cited By
- 12
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4395106445
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4395106445Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.tust.2024.105778Digital Object Identifier
- Title
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Dispersion and migration characteristics of multisource respirable dust in development panels during tunnelling processesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-04-24Full publication date if available
- Authors
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Ming Qiao, Jon Roberts, Ting Ren, Jennifer Hines, Jianming WuList of authors in order
- Landing page
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https://doi.org/10.1016/j.tust.2024.105778Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.tust.2024.105778Direct OA link when available
- Concepts
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Duct (anatomy), Roof, Coal mining, Airflow, Ventilation (architecture), Inlet, Computational fluid dynamics, Engineering, Heading (navigation), Mining engineering, Marine engineering, Environmental science, Coal, Structural engineering, Mechanical engineering, Waste management, Aerospace engineering, Pathology, MedicineTop concepts (fields/topics) attached by OpenAlex
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12Total citation count in OpenAlex
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2025: 9, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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