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dc.contributor.authorLee, KF
dc.contributor.authorEaves, N
dc.contributor.authorMosbach, Sebastian
dc.contributor.authorOoi, D
dc.contributor.authorLai, J
dc.contributor.authorBhave, A
dc.contributor.authorManz, A
dc.contributor.authorGeiler, JN
dc.contributor.authorNoble, JA
dc.contributor.authorDuca, D
dc.contributor.authorFocsa, C
dc.date.accessioned2019-02-13T00:30:25Z
dc.date.available2019-02-13T00:30:25Z
dc.date.issued2019-01-09
dc.identifier.issn0148-7191
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/289310
dc.description.abstract© 2019 SAE International. All Rights Reserved. Model guided application (MGA) combining physico-chemical internal combustion engine simulation with advanced analytics offers a robust framework to develop and test particle number (PN) emissions reduction strategies. The digital engineering workflow presented in this paper integrates the kinetics & SRM Engine Suite with parameter estimation techniques applicable to the simulation of particle formation and dynamics in gasoline direct injection (GDI) spark ignition (SI) engines. The evolution of the particle population characteristics at engine-out and through the sampling system is investigated. The particle population balance model is extended beyond soot to include sulphates and soluble organic fractions (SOF). This particle model is coupled with the gas phase chemistry precursors and is solved using a sectional method. The combustion chamber is divided into a wall zone and a bulk zone and the fuel impingement on the cylinder wall is simulated. The wall zone is responsible for resolving the distribution of equivalence ratios near the wall, a factor that is essential to account for the formation of soot in GDI SI engines. In this work, a stochastic reactor model (SRM) is calibrated to a single-cylinder test engine operated at 12 steady state load-speed operating points. First, the flame propagation model is calibrated using the experimental in-cylinder pressure profiles. Then, the population balance model parameters are calibrated based on the experimental data for particle size distributions from the same operating conditions. Good agreement was obtained for the in-cylinder pressure profiles and gas phase emissions such as NOx. The MGA also employs a reactor network approach to align with the particle sampling measurements procedure, and the influence of dilution ratios and temperature on the PN measurement is investigated. Lastly, the MGA and the measurements procedure are applied to size-resolved chemical characterisation of the emitted particles.
dc.publisherSAE International
dc.titleModel Guided Application for Investigating Particle Number (PN) Emissions in GDI Spark Ignition Engines
dc.typeConference Object
prism.issueIdentifierJanuary
prism.publicationDate2019
prism.publicationNameSAE Technical Papers
prism.volume2019-January
dc.identifier.doi10.17863/CAM.36559
dcterms.dateAccepted2018-10-31
rioxxterms.versionofrecord10.4271/2019-26-0062
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2019-01-09
dc.contributor.orcidMosbach, Sebastian [0000-0001-7018-9433]
dc.identifier.eissn0148-7191
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Societal Challenges (724145)
cam.issuedOnline2019-01-09
pubs.conference-nameSymposium on International Automotive Technology 2019
rioxxterms.freetoread.startdate2020-01-09


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