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

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DOIResolve DOI: http://doi.org/10.1016/j.cpc.2016.06.016
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TypeArticle
Journal titleComputer Physics Communications
ISSN0010-4655
SubjectLaminar diffusion flame; Soot model; Ethylene; Methane
AbstractMitigation 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.
Publication date
LanguageEnglish
AffiliationMeasurement Science and Standards; National Research Council Canada
Noteyes
Peer reviewedYes
NPARC number23000681
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Record identifier272e70ef-192e-4b81-9295-b45cffb073d5
Record created2016-08-23
Record modified2016-08-23
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