Comparison of the Particulate Matter Index and Particulate Evaluation Index Numbers Calculated by Detailed Hydrocarbon Analysis by Gas Chromatography (Enhanced ASTM D6730) and Vacuum Ultraviolet Paraffin, Isoparaffin, Olefin, Naphthene, and Aromatic Analysis (ASTM D8071)

Chapman, Elana; Salyers, John T.; Wispinski, Daniel; Scussel, Michael; Hodgson, A.E.M.; Pryor, Sophia; Akers, Veronica; McGahan, Jessica; Cochran, Jack

doi:10.4271/2021-01-5070

Cited by 1 publication

(1 citation statement)

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“…Results are reported in mass percent and volume percent. The standard ASTM D8071 method report has been modified to break out the hydrocarbon group type totals by carbon number bins from C3 to C15 for the purpose of VUV PMI and VUV PMI A* calculations [71,94]. C2-naphthalenes and biphenyl are also reported.…”

Section: Vuv Pmi and Vuv Pmi A*mentioning

confidence: 99%

A Review and Perspective on Particulate Matter Indices Linking Fuel Composition to Particulate Emissions from Gasoline Engines

Leach¹,

Chapman²,

Jetter³

et al. 2021

SAE Int. J. Fuels Lubr.

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Particulate matter (PM) indices-those linking PM emissions from gasoline engines to the composition and properties of the fuel-have been a topic of significant study over the last decade. It has long been known that fuel composition has a significant impact on particulate emissions from gasoline engines. Since gasoline direct injection (GDI) engines have become the market-leading technology, this has become more significant because the evaporative behavior of fuel increases in importance. Several PM indices have been developed to provide metrics describing this behavior and correlating PM emissions. In this article, 16 different PM indices are identified and collected-to the authors' knowledge, all of the indices are available at the time of writing. The indices are reviewed and discussed in the context of the information required to calculate them, as well as their utility. The authors believe that there is a need for indices that provide both a detailed and robust correlation, as well as those that are less sophisticated yet sufficient for specific use cases. Future research is suggested to guide the technical community toward improvements in the indices' methods and equations for both high and low fidelity and high and low time investment.

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Section: Vuv Pmi and Vuv Pmi A*mentioning

confidence: 99%