publication . Conference object . Article . Other literature type . 2019

Model Guided Application for Investigating Particle Number (PN) Emissions in GDI Spark Ignition Engines

David Ooi; Amit Bhave; Jiawei Lai; Jennifer Noble; D. Duca; Sebastian Mosbach; Nick A. Eaves; Jan N. Geiler; Kok Foong Lee; Andreas Manz; ...
Open Access English
  • Published: 16 Jan 2019
  • Publisher: HAL CCSD
© 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 popula...
free text keywords: [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [], Population, education.field_of_study, education, Gasoline direct injection, Mechanics, Combustion chamber, Internal combustion engine, Ignition system, law.invention, law, Particle size, Particle, Particle number
Funded by
EC| PEMs4Nano
Portable Nano-Particle Emission Measurement System
  • Funder: European Commission (EC)
  • Project Code: 724145
  • Funding stream: H2020 | RIA
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