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

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Title: A comparison of EGR correction factor models based on SI engine data
Authors: Smith, JK
Ruprecht, D
Kountouriotis, A
Aleiferis, P
Richardson, D
Item Type: Journal Article
Abstract: The paper compares the accuracy of different exhaust gasrecirculation (EGR) correction factor models under engineconditions. The effect of EGR on the laminar burningvelocity of a EURO VI E10 specification gasoline (10%Ethanol content by volume) has been back calculatedfrom engine pressure trace data, using the Leeds Univer-sity Spark Ignition Engine Data Analysis (LUSIEDA) re-verse thermodynamic code. The engine pressure dataranges from 5% - 25% EGR (by mass) with the runningconditions, such as spark advance and pressure at in-take valve closure, changed to maintain a constant en-gine load of 0.79 MPa gross mean effective pressure(GMEP). Based on the experimental data, a correlationis suggested on how the laminar burning velocity reduceswith increasing EGR mass fraction. This correlation, to-gether with existing models, was then implemented intothe quasi-dimensional Leeds University Spark Ignition En-gine (LUSIE) predictive engine code and resulting predic-tions are compared against measurements. It was foundthat the new correlation is in good agreement with exper-imental data for a diluent range of 5-25%, providing thebest fit for both engine loads investigated, whereas exist-ing models tend to overpredict the reduction of burningvelocity due to EGR.
Issue Date: 27-Mar-2019
Date of Acceptance: 3-Dec-2018
URI: http://hdl.handle.net/10044/1/66960
ISSN: 1946-3944
Publisher: SAE International
Journal / Book Title: SAE International Journal of Engines
Sponsor/Funder: Jaguar Land Rover Limited
Funder's Grant Number: 4200083609
Keywords: 0901 Aerospace Engineering
0902 Automotive Engineering
0913 Mechanical Engineering
Publication Status: Accepted
Appears in Collections:Faculty of Engineering
Mechanical Engineering



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