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 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.
Issue Date: 27-Mar-2019
Date of Acceptance: 3-Dec-2018
URI: http://hdl.handle.net/10044/1/66960
DOI: https://dx.doi.org/10.4271/03-12-02-0015
ISSN: 1946-3944
Publisher: SAE International
Start Page: 203
End Page: 217
Journal / Book Title: SAE International Journal of Engines
Volume: 12
Issue: 2
Copyright Statement: © 2019 University of Leeds; Published by SAE International. This Open Access article is published under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits distribution, and reproduction in any medium, provided that the original author(s) and the source are credited.
Sponsor/Funder: Jaguar Land Rover Limited
Funder's Grant Number: 4200083609
Keywords: Science & Technology
Transportation Science & Technology
SI Engine
Thermodynamic modelling
Laminar burning velocity
0901 Aerospace Engineering
0902 Automotive Engineering
0913 Mechanical Engineering
Publication Status: Published
Article Number: 03-12-02-0015
Appears in Collections:Faculty of Engineering
Mechanical Engineering

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