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Development of an Alternative Predictive Model for Gasoline Vehicle Particulate Matter and Particulate Number
Technical Paper
2019-01-1184
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The Particulate Matter Index (PMI) is a helpful tool which provides an indication of a fuel’s sooting tendency. Currently, the index is being used by various laboratories and OEMs as a metric to understand the gasoline fuels impact on both sooting found on engine hardware and vehicle out emissions. This paper will explore a new method that could be used to give indication of the sooting tendency of the gasoline range fuels, called the Particulate Evaluation Index (PEI), and provide the detailed equation in its initial form. In addition, the PEI will be shown to have a good correlation agreement to PMI. The paper will then give a detailed explanation of the data used to develop it. Initial vehicle PM/PN data will also be presented that shows correlations of the indices to the vehicle response.
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Citation
Chapman, E., Winston-Galant, M., Geng, P., and Pryor, S., "Development of an Alternative Predictive Model for Gasoline Vehicle Particulate Matter and Particulate Number," SAE Technical Paper 2019-01-1184, 2019, https://doi.org/10.4271/2019-01-1184.Also In
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