Modeling of the turbulent combustion in a machine with fast compression

Title:

Modeling of the turbulent combustion in a machine with fast compression

Creator:

Affad, Elhoussin and Assou, Mohamed

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:40d5ec49-0186-4a10-afda-528709162389
uuid:40d5ec49-0186-4a10-afda-528709162389

Subject:

turbulent combustion, chemistry, and reduced mechanisms

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

Combustion is a complex field, because it simultaneously involves several disciplines such as the heat transfer, the chemistry, the turbulence, the transport of mass etc. In this work we tried to model an experiment having a combustion chamber with a geometry close to that of spark ignition engine. This modeling based on the approach of calculated probability density function (pdf). In fact, we used a transport equation for the probability density function similar to the modeling case of the physical and chemical species. Indeed, theoretical study of this pdf is very developed, but its applications remain very limited for the several reasons. This pdf method was coupled with a simplified chemistry and introduced into the KIVAII code in order to simulate the combustion process in a rectangular combustion chamber which is very similar to that of spark ignition engine (SI). The results found by this model of combustion are compared with the experiment at different operating conditions such as the propane/air equivalence ratio, temperature and pressure. The final results and the conclusions are satisfactory. In this paper, we present only the results relating to a given operation conditions with a study of the sensitivity of the flame radius on the equivalence ratio. and Obsahuje seznam literatury

Language:

English

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

405-411

Source:

Engineering mechanics: international journal for theoretical and applied mechanics | 2006 Volume:13 | Number:6

Harvested from:

CDK

Metadata only:

false