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Evaluating the ability of slw model in numerical simulation of radiative turbulent reacting flow in industrial application

Darbandi, M ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1115/FEDSM2018-83431
  3. Publisher: American Society of Mechanical Engineers (ASME) , 2018
  4. Abstract:
  5. In this paper, the turbulent reacting flow in an industrial furnace is numerically simulated using the RANS equations. The two-equation standard k-ε and the eddy dissipation models are used respectively to close the turbulent closure problem and to consider the turbulence-chemistry interaction. The radiation transfer equation is solved using the discrete ordinates method (DOM). To calculate the radiation absorption coefficient in participating combustion gases, we use the spectral line-based weighted sum of grey gases (SLW) model and compare the achieved results with famous gray-based model, i.e., the weighted-sum-of-gray-gases (WSGG) model. The results of this research show that using the SLW model, the predicted heat transfer from the flame to the furnace walls is reduced due to the thermal radiation. So, the predicted temperature filed increases up to 5% near the outlet of furnace in comparison with the results of WSGG model, which is in more agreement with the experimental data. These results indicate that if one wishes to accurately predict the temperature field and the temperature sensitive quantities such as the NOx emission, one should use the spectral-based models to calculate the radiation absorption coefficient. The details are discussed in the results section. Copyright © 2018 ASME
  6. Keywords:
  7. Computational fluid dynamics ; Fluid mechanics ; Discrete ordinates method ; Eddy dissipation models ; Radiation absorption ; Radiation transfer equations ; Temperature sensitive ; Turbulence-chemistry interactions ; Turbulent reacting flows ; Weighted-sum-of-gray-gases ; Heat transfer
  8. Source: ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting, FEDSM 2018, 15 July 2018 through 20 July 2018 ; Volume 2 , 2018 ; 08888116 (ISSN); 9780791851562 (ISBN)
  9. URL: https://asmedigitalcollection.asme.org/FEDSM/proceedings/FEDSM2018/51562/Montreal,%20Quebec,%20Canada/272089