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Diesel Particulate Matter Dispersion Analysis in Underground Metal/Nonmetal Mines Using Computational Fluid Dynamics



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  • Personal Author:
    Zheng Y
  • Description:
    Diesel Particulate Matter (DPM) is a natural by-product from operating diesel engines. Since diesel power is a major source of energy for mining operations today, the adverse health effects of DPM are of a great concern. To thoroughly resolve DPM problems, it is critical that DPM propagation characteristics be understood to arrive at a sensible and practical method for addressing DPM-related issues. To achieve this, a computational fluid dynamics (CFD) method is used to simulate DPM dispersion and to predict its concentration distribution. Industrial field studies were reconstructed to evaluate the possibility of different CFD models. Experiments were also carried out in the Missouri University of Science and Technology (MISSOURI S&T) Experimental Mine to validate the selected CFD model. Based on the verified CFD model, the DPM dispersion pattern in both a straight entry and a dead-end entry were studied. The effect of variables (for example, different mining operations, inclination of dead-end entry, buoyancy effects, orientation of the tailpipe and a vehicle's motion) on DPM distribution were systematically simulated to reveal high DPM regions in similar real mining scenarios. Different main airflow speeds, diesel particulate filter (DPF), and local ventilation devices were evaluated for effectiveness in clearing the DPM plume. This research can provide a means for identifying high DPM-level areas which can be used in miner health and safety training. It can also improve the understanding of the impacts of various control measures on DPM distribution which can result in an objective decision-making scheme for mining engineers to choose individual or a combination of control strategies to upgrade a miner's working environment. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • Publisher:
    Missouri University of Science & Technology
  • Document Type:
    Text
  • Funding:
    Grant
  • Genre:
    Dissertation
  • Place as Subject:
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • Pages in Document:
    1-261
  • NIOSHTIC Number:
    nn:20055025
  • Citation:
    Rolla, MO: Missouri University of Science & Technology, 2011 Dec; :1-261
  • Federal Fiscal Year:
    2012
  • NORA Priority Area:
    Mining
  • Performing Organization:
    Missouri University of Science & Technology, Rolla
  • Peer Reviewed:
    False
  • Start Date:
    20040901
  • Source Full Name:
    Diesel particulate matter dispersion analysis in underground metal/nonmetal mines using computational fluid dynamics
  • End Date:
    20100830
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:2e79b0211c558a587c0bf8b3a358df5f4528ad6d8d7404f0838cb20eecf3d08c83d089d7e9f21de11e72ee9b088efa2318636fe3428a4d974115588f2eaa271e
  • Download URL:
  • File Type:
    Filetype[PDF - 10.02 MB ]
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