Development of an Alternative Predictive Model for Gasoline Vehicle Particulate Matter and Particulate Number

2019-01-1184

04/02/2019

Event
WCX SAE World Congress Experience
Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/2019-01-1184
Pages
8
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.
Additional Details
Publisher
Published
Apr 2, 2019
Product Code
2019-01-1184
Content Type
Technical Paper
Language
English