Validation of Advanced Combustion Models Applied to Two-Stage Combustion in a Heavy Duty Diesel Engine

2009-01-0714

04/20/2009

Event
SAE World Congress & Exhibition
Authors Abstract
Content
Two advanced combustion models have been validated with the KIVA-3V Release 2 code in the context of two-stage combustion in a heavy duty diesel engine. The first model uses CHEMKIN to directly integrate chemistry in each computational cell. The second model accounts for flame propagation with the G-equation, and CHEMKIN predicts autoignition and handles chemistry ahead of and behind the flame front. A Damköhler number criterion was used in flame containing cells to characterize the local mixing status and determine whether heat release and species change should be a result of flame propagation or volumetric heat release. The purpose of this criterion is to make use of physical and chemical time scales to determine the most appropriate chemistry model, depending on the mixture composition and thermodynamic properties of the gas in each computational cell.
Recently developed spray models have been included in the KIVA code to reduce the dependency of the mesh size on the spray processes. In order to test the models over a range of conditions, several engine operating parameters were varied, including pilot start-of-injection timing, pilot injection duration, main start-of-injection timing, boost pressure, and EGR percent. The in-cylinder pressure and predicted NOx and soot emissions from the simulations were compared with available experimental data. Differences between the CHEMKIN model and G-equation model in the context of two-stage combustion are assessed. The results show that flame propagation is not significant in two-stage combustion under the current operating conditions.
Meta TagsDetails
DOI
https://doi.org/10.4271/2009-01-0714
Pages
15
Citation
Cantrell, B., Ge, H., Reitz, R., and Rutland, C., "Validation of Advanced Combustion Models Applied to Two-Stage Combustion in a Heavy Duty Diesel Engine," SAE Technical Paper 2009-01-0714, 2009, https://doi.org/10.4271/2009-01-0714.
Additional Details
Publisher
Published
Apr 20, 2009
Product Code
2009-01-0714
Content Type
Technical Paper
Language
English