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  4. A comparison of EGR correction factor models based on SI engine data
 
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A comparison of EGR correction factor models based on SI engine data

Publikationstyp
Journal Article
Date Issued
2019
Sprache
English
Author(s)
Smith, Jamie Karl  
Ruprecht, Daniel  orcid-logo
Roberts, Philip John  
Kountouriotis, Alexandros  
Aleiferis, Pavlos  
Richardson, David  
TORE-URI
http://hdl.handle.net/11420/10502
Journal
SAE International journal of engines  
Volume
12
Issue
2
Start Page
203
End Page
217
Citation
SAE International Journal of Engines 12 (2): 203-217 (2019)
Publisher DOI
10.4271/03-12-02-0015
Scopus ID
2-s2.0-85065913067
Publisher
Society of Automotive Engineers
Peer Reviewed
true
The article compares the accuracy of different exhaust gas recirculation (EGR) correction factor models under engine conditions. The effect of EGR on the laminar burning velocity of a EURO VI E10 specification gasoline (10% Ethanol content by volume) has been back calculated from engine pressure trace data, using the Leeds University Spark Ignition Engine Data Analysis (LUSIEDA) reverse thermodynamic code. The engine pressure data ranges from 5% to 25% EGR (by mass) with the running conditions, such as spark advance and pressure at intake valve closure, changed to maintain a constant engine load of 0.79 MPa gross mean effective pressure (GMEP). Based on the experimental data, a correlation is suggested on how the laminar burning velocity reduces with increasing EGR mass fraction. This correlation, together with existing models, was then implemented into the quasi-dimensional Leeds University Spark Ignition Engine (LUSIE) predictive engine code and resulting predictions are compared against measurements. It was found that the new correlation is in good agreement with experimental data for a diluent range of 5%-25%, providing the best fit for both engine loads investigated, whereas existing models tend to overpredict the reduction of burning velocity due to EGR.
Subjects
EGR
Laminar burning velocity
SI Engine
Thermodynamic modelling
DDC Class
004: Informatik
510: Mathematik
530: Physik
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