Abstract
This work explores the effect of the particle matter index (PMI) and aromatic content on fuel wall impingement associated with stochastic pre-ignition (SPI). Statically significant measurements of SPI rates are directly coupled with laser induced florescence (LIF) measurements of fuel dilution from spray-linear impingement. Literature suggests that PMI is could be correlated with the number of SPI events, but the root cause(s) of PMI and SPI are directly causational or are a predicator of SPI. Three fuels have been used in this study with 3 different PMI and two different aromatic contents. The fuels are direct injected at two different injection timings, an earlier injection timing which initially targets the piston crown, 310°CA bTDC, and a later injection timing that the liner, 220°CA bTDC start of injection timings (SOI) respectively. The earlier 310 SOI injection increases soot, whereas the later 220°CA SOI targets the liner and increases wall-wetting. The findings of this work highlight that the SPI activity has a weak correlation with the soot promoted by the combustion process and increased PMI. However, SPI activity shows a strong dependency with high levels of oil dilution and aromatic content, suggesting that PMI might be an indicator of fuel chemistry conducive to SPI and the soot from increased PMI fuels is not a strong source of SPI relative to fuel wall wetting.
Original language | English |
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Journal | SAE Technical Papers |
Issue number | 2021 |
DOIs | |
State | Published - Sep 21 2021 |
Event | SAE 2021 Powertrains, Fuels and Lubricants Digital Summit, FFL 2021 - Virtual, Online, United States Duration: Sep 28 2021 → Sep 30 2021 |
Funding
This research was conducted as part of the Partnership to Advance Combustion Engines (PACE) Consortium sponsored by the U.S. Department of Energy (DOE) Vehicle Technologies Office (VTO). The PACE Consortium is a collaborative project of multiple National Laboratories that combines unique experiments with world-class DOE computing and machine learning expertise to speed discovery of knowledge, improve engine design tools, and enable market-competitive powertrain solutions with potential for best-in-class lifecycle emissions. A special thanks to DOE VTO program managers Mike Weismiller and Gurpreet Singh. 1 This research was supported by the DOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office and used resources at the National Transportation Research Center, a DOE-EERE User Facility at Oak Ridge National Laboratory. A special thanks to DOE program managers Kevin Stork, Michael Weismiller, and Gurpreet Singh for funding this work. This research was conducted as part of the Co-Optimization of Fuels & Engines (Co-Optima) project sponsored by the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies and Vehicle Technologies Offices. Co-Optima is a collaborative project of multiple National Laboratories initiated to simultaneously accelerate the introduction of affordable, scalable, and sustainable biofuels and high-efficiency, low-emission vehicle engines. A special thanks to program managers Kevin Stork, Alicia Lindauer, Gurpreet Singh, and Mike Weismiller.
Funders | Funder number |
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Co-Optimization of Fuels & Engines | |
DOE-EERE | |
Gurpreet Singh | |
U.S. Department of Energy | |
Office of Energy Efficiency and Renewable Energy | |
Oak Ridge National Laboratory |