Empirical soot formation and oxidation model
Modelling internal combustion engines can be made following different approaches, depending on the type of problem to be simulated. A diesel combustion model has been developed and implemented in a full cycle simulation of a combustion, model accounts for transient fuel spray evolution, fuel-air mix...
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VINCA Institute of Nuclear Sciences
2009-01-01
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Online Access: | http://www.doiserbia.nb.rs/img/doi/0354-9836/2009/0354-98360903035B.pdf |
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doaj-d307c1da58e54d19b6266cbc6ba81cc22021-01-02T08:02:34ZengVINCA Institute of Nuclear SciencesThermal Science0354-98362334-71632009-01-01133354610.2298/TSCI0903035B0354-98360903035BEmpirical soot formation and oxidation modelBoussouara Karima0Kadja Mahfoud1Laboratory of mechanic, University of Constantine, AlgeriaLaboratory of mechanic University of Constantine, AlgeriaModelling internal combustion engines can be made following different approaches, depending on the type of problem to be simulated. A diesel combustion model has been developed and implemented in a full cycle simulation of a combustion, model accounts for transient fuel spray evolution, fuel-air mixing, ignition, combustion, and soot pollutant formation. The models of turbulent combustion of diffusion flame, apply to diffusion flames, which one meets in industry, typically in the diesel engines particulate emission represents one of the most deleterious pollutants generated during diesel combustion. Stringent standards on particulate emission along with specific emphasis on size of emitted particulates have resulted in increased interest in fundamental understanding of the mechanisms of soot particulate formation and oxidation in internal combustion engines. A phenomenological numerical model which can predict the particle size distribution of the soot emitted will be very useful in explaining the above observed results and will also be of use to develop better particulate control techniques. A diesel engine chosen for simulation is a version of the Caterpillar 3406. We are interested in employing a standard finite-volume computational fluid dynamics code, KIVA3V-RELEASE2.http://www.doiserbia.nb.rs/img/doi/0354-9836/2009/0354-98360903035B.pdfflameturbulencemodellingsoot formation and oxidation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Boussouara Karima Kadja Mahfoud |
spellingShingle |
Boussouara Karima Kadja Mahfoud Empirical soot formation and oxidation model Thermal Science flame turbulence modelling soot formation and oxidation |
author_facet |
Boussouara Karima Kadja Mahfoud |
author_sort |
Boussouara Karima |
title |
Empirical soot formation and oxidation model |
title_short |
Empirical soot formation and oxidation model |
title_full |
Empirical soot formation and oxidation model |
title_fullStr |
Empirical soot formation and oxidation model |
title_full_unstemmed |
Empirical soot formation and oxidation model |
title_sort |
empirical soot formation and oxidation model |
publisher |
VINCA Institute of Nuclear Sciences |
series |
Thermal Science |
issn |
0354-9836 2334-7163 |
publishDate |
2009-01-01 |
description |
Modelling internal combustion engines can be made following different approaches, depending on the type of problem to be simulated. A diesel combustion model has been developed and implemented in a full cycle simulation of a combustion, model accounts for transient fuel spray evolution, fuel-air mixing, ignition, combustion, and soot pollutant formation. The models of turbulent combustion of diffusion flame, apply to diffusion flames, which one meets in industry, typically in the diesel engines particulate emission represents one of the most deleterious pollutants generated during diesel combustion. Stringent standards on particulate emission along with specific emphasis on size of emitted particulates have resulted in increased interest in fundamental understanding of the mechanisms of soot particulate formation and oxidation in internal combustion engines. A phenomenological numerical model which can predict the particle size distribution of the soot emitted will be very useful in explaining the above observed results and will also be of use to develop better particulate control techniques. A diesel engine chosen for simulation is a version of the Caterpillar 3406. We are interested in employing a standard finite-volume computational fluid dynamics code, KIVA3V-RELEASE2. |
topic |
flame turbulence modelling soot formation and oxidation |
url |
http://www.doiserbia.nb.rs/img/doi/0354-9836/2009/0354-98360903035B.pdf |
work_keys_str_mv |
AT boussouarakarima empiricalsootformationandoxidationmodel AT kadjamahfoud empiricalsootformationandoxidationmodel |
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1724357022192762880 |