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Influence of Thermal Radiation on Layered Dust Explosions



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  • Personal Author:
  • Description:
    Multidimensional unsteady numerical simulations were carried out to explore the influence of thermal radiation on the propagation and structure of layered coal dust explosions. The simulation solved the reactive compressible Navier-Stokes equations coupled to an Eulerian kinetic-theory-based granular multiphase model. The radiation heat transfer is modeled by solving the radiation transfer equation using the third-order filtered spherical harmonics approximation. The radiation was assumed to be gray and all boundaries of the domain are black at 300 K. The reaction mechanism is based on global irreversible reactions for each physical process including devolatilization, char burning, moisture vaporization, and methane combustion. The governing equations were solved using a high-order Godunov method. Several simulation configurations were considered: layer volume fractions of 47% and 1%, channel lengths of 10 m and 40 m, and radiative and non-radiative cases. The results show that gray radiation has a significant influence on the propagation and structure of a layered dust explosion. However, radiation can have opposite effects on different scenarios. For example, radiation promotes the propagation of the dust flame when the layer volume fraction was 1% and in the short-channel cases where reflected shock-flame interactions are important. However, radiation enhances quenching for the 47% volume fraction dust layer in the longer channel. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISSN:
    0950-4230
  • Document Type:
  • Funding:
  • Genre:
  • Place as Subject:
  • CIO:
  • Topic:
  • Location:
  • Volume:
    72
  • NIOSHTIC Number:
    nn:20068068
  • Citation:
    J Loss Prev Process Ind 2021 Sep; 72:104509
  • Contact Point Address:
    Swagnik Guhathakurta, Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, 32611, USA
  • Email:
    swagnik@ufl.edu
  • Federal Fiscal Year:
    2021
  • Performing Organization:
    University of Maryland
  • Peer Reviewed:
    True
  • Start Date:
    20150901
  • Source Full Name:
    Journal of Loss Prevention in the Process Industries
  • End Date:
    20180831
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:f566e93f7c3b82d5b319bff503dd7b2eb9d472ee3e5293eb8ceb9fee575f8cfc80e83c1c5a0a285f67533dddc66acc5e7698b28176a2bde35cf61ef775530521
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  • File Type:
    Filetype[PDF - 6.83 MB ]
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