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Technical Paper

Characterization of Snowmobile Particulate Emissions

2000-06-19
2000-01-2003
The primary goal of this project was to characterize particulate emissions from a snowmobile engine through measurement of particulate matter volatile organic fraction (VOF), particle size, and biological activity. Emissions were evaluated using both a mineral oil and a biosynthetic oil. Basic criteria pollutants were also measured from diluted exhaust using conventional techniques. Particulate matter volatile organic fraction was determined using a gas chromatographic method (DFI/GC). Particle size was characterized using a scanning mobility particle sizer (SMPS), and particulate matter biological activity was measured using a modification of the Ames bioassay procedure. Results revealed that more than 99 percent of the particles were ultrafine (Dp<100nm), with a peak concentration in the nanoparticle (Dp<50nm) size range. It was also observed that the use of a biosynthetic lubricant increased both volatile and total PM mass emissions compared to the mineral lubricant.
Technical Paper

A Next-Generation Emission Test Procedure for Small Utility Engines - Part 1, Background and Approach

1990-09-01
901595
Measurement of emissions from small utility engines has usually been accomplished using steady-state raw emissions procedures such as SAE Recommended Practice J1088. While raw exhaust measurements have the advantage of producing modal exhaust gas concentration data for design feedback; they are laborious, may influence both engine performance and the emissions themselves, and have no provision for concurrent particulate measurements. It is time to consider a full-dilution procedure similar in principle to automotive and heavy-duty on-highway emission measurement practice, leading to improvements in many of the areas noted above, and generally to much higher confidence in data obtained. When certification and audit of small engine emissions become a reality, a brief dilute exhaust procedure generating only the necessary data will be a tremendous advantage to both manufacturers and regulatory agencies.
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