Investigation of Explosion Hazard in Longwall Coal Mines by Combining CFD with a 1/40th-Scale Physical Model

Details

• Personal Author:
  Bogin, G. E. Jr. ; Brune, Jürgen F. ; Juganda, A. ; Pinheiro, H. ; Sandoval, N. ; Wilson, F.
• Description:
  To evaluate methane explosion hazards in underground longwall coal mines, researchers at the Colorado School of Mines developed a computational fluid dynamics (CFD) model along with a 1/40th-scale, optically accessible, physical model of a longwall mining section. In this project, CFD models assisted in the design of the physical model to ensure specifications were met to accurately represent the scaling physics as well as to assist in narrowing the experimental matrix and identifying key locations for sensor placement to measure velocity, pressure and gas concentrations. This research will help develop strategies for methane monitoring to prevent methane ignitions and explosions in longwall coal operations. [Description provided by NIOSH]
• Subjects:
  Coal Coal Mining Explosions Mining Occupational Health Safety Ventilation
• Keywords:
  Author Keywords: Longwall Coal Mining Computational Fluid Dynamics Explosive Gases Longwall Mining Mine Ventilation Mining Industry Scaled Modeling
• ISSN:
  0026-5187
• Document Type:
  Text
• Funding:
  Contract
• Genre:
  Abstract or Summary
• Place as Subject:
  Colorado ; OSHA Region 8
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  4 pdf pages
• NIOSHTIC Number:
  nn:20066799
• Citation:
  Min Eng 2022 Dec; 74(12):35-37
• Email:
  gbogin@mines.edu
• Federal Fiscal Year:
  2023
• Performing Organization:
  Colorado School of Mines
• Peer Reviewed:
  True
• Start Date:
  20170824
• Source Full Name:
  Mining Engineering
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:a520ad0f8cf79c56de801fcc221ac7617b4ec0ec66d7c136b745c6b294a51e609c3036a98652c9d0c415578e6b04a7106f922d34f84e13d6972c466a3a82ee30
• Download URL:
  https://stacks.cdc.gov/view/cdc/230708/cdc_230708_DS1.pdf
• File Type:
  [PDF - 1.28 MB ]