4.7 Article

CoFlame: A refined and validated numerical algorithm for modeling sooting laminar coflow diffusion flames

期刊

COMPUTER PHYSICS COMMUNICATIONS
卷 207, 期 -, 页码 464-477

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.cpc.2016.06.016

关键词

Laminar diffusion flame; Soot model; Ethylene; Methane

资金

  1. Biofuelnet NSERC NCE
  2. Natural Sciences and Engineering Research Council of Canada
  3. Canada Foundation for Innovation under the auspices of Compute Canada
  4. Government of Ontario
  5. Ontario Research Fund-Research Excellence
  6. University of Toronto

向作者/读者索取更多资源

Mitigation of soot emissions from combustion devices is a global concern. For example, recent EURO 6 regulations for vehicles have placed stringent limits on soot emissions. In order to allow design engineers to achieve the goal of reduced soot emissions, they must have the tools to so. Due to the complex nature of soot formation, which includes growth and oxidation, detailed numerical models are required to gain fundamental insights into the mechanisms of soot formation. A detailed description of the CoFlame FORTRAN code which models sooting laminar coflow diffusion flames is given. The code solves axial and radial velocity, temperature, species conservation, and soot aggregate and primary particle number density equations. The sectional particle dynamics model includes nucleation, PAH condensation and HACA surface growth, surface oxidation, coagulation, fragmentation, particle diffusion, and thermophoresis. The code utilizes a distributed memory parallelization scheme with strip-domain decomposition. The public release of the CoFlame code, which has been refined in terms of coding structure, to the research community accompanies this paper. CoFlame is validated against experimental data for reattachment length in an axi-symmetric pipe with a sudden expansion, and ethylene-air and methane-air diffusion flames for multiple soot morphological parameters and gas-phase species. Finally, the parallel performance and computational costs of the code is investigated. (C) 2016 Elsevier B.V. All rights reserved.

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