Assessment of the Predictive Capabilities of a Combustion Model for a Modern Downsized Turbocharged SI Engine

Paper #:
  • 2016-01-0557

Published:
  • 2016-04-05
DOI:
  • 10.4271/2016-01-0557
Citation:
Mirzaeian, M., Millo, F., and Rolando, L., "Assessment of the Predictive Capabilities of a Combustion Model for a Modern Downsized Turbocharged SI Engine," SAE Technical Paper 2016-01-0557, 2016, doi:10.4271/2016-01-0557.
Pages:
10
Abstract:
A 0D phenomenological turbulence model, based on the K-k and k- ɛ approaches, was coupled with a predictive turbulent combustion model using the commercial code GT-Suite, and its predictive capabilities were assessed for a downsized turbocharged SI engine.Differently from the 3D-CFD approach which is typically utilized to describe the evolution of the in-cylinder flow field, and which has very high computational requirements, the 0D phenomenological approach adopted in this work gives the opportunity to predict the evolution of the in-cylinder charge motion and the subsequent combustion process by means of a turbulent combustion model, with a significantly reduced computational effort, thus paving the way for the simulation of the whole engine operating map.Moreover, a procedure has been adopted to calibrate the turbulent combustion model parameters by means of a Design of Experiments (DoE) coupled with Genetic Algorithm (GA) approach, in order to predict the burn rate at various engine operating points.Finally, a detailed validation process, based on an extensive experimental data set, was carried out concerning the predicted burn rates and the in-cylinder pressure traces for several engine operating points, including load, speed and spark timing sweeps, achieving a satisfactory agreement and thus confirming the reliability of the proposed approach.
Access
Now
SAE MOBILUS Subscriber? You may already have access.
Buy
Select
Price
List
Download
$27.00
Mail
$27.00
Members save up to 40% off list price.
Share
HTML for Linking to Page
Page URL

Related Items

Book
2005-06-17
Technical Paper / Journal Article
2003-10-27
Technical Paper / Journal Article
2003-10-27
Training / Education
2017-05-15
Technical Paper / Journal Article
2003-10-27