Morphology and microstructure of diesel particulates

The effect of particulate matter on the climate depends on its scattering properties (influenced by morphology) and refractive index (dependent on microstructure). The morphology and microstructure of particulates from two different engines were studied. The first set of soot samples was collecte...

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Main Author: Soewono, Arka
Language:English
Published: University of British Columbia 2009
Online Access:http://hdl.handle.net/2429/5409
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-BVAU.2429-54092014-03-26T03:35:46Z Morphology and microstructure of diesel particulates Soewono, Arka The effect of particulate matter on the climate depends on its scattering properties (influenced by morphology) and refractive index (dependent on microstructure). The morphology and microstructure of particulates from two different engines were studied. The first set of soot samples was collected from a 1.9L Volkswagen Turbo Direct Injection engine with or without a catalytic converter, using two different fuel types (ULSD and B20) and six speed/load combinations. The second set of the samples was taken from a Cummins ISX heavy-duty engine using the Westport pilot-ignited direct injection natural-gas fuelling system for three different speed/load combinations. The soot morphology was investigated using transmission electron microscopy (TEM), emphasizing the fractal properties. A Matlab-based image processor was used to extract geometrical properties of soot. Thirty-five aggregates were analyzed for each sample. The fractal dimensions (Di) were computed using the aggregate dimension and pair correlation methods. For the soot collected from VW engine, it was found that fuel type (ULSE) and B20) and the presence of a catalytic converter did not affect the fractal dimensions of soot aggregates, while engine load conditions had slight influence on Df. At constant engine RPM, fractal dimensions started to decline as the engine torque was significantly increased. For the soot produced by the natural gas engine, similar changes in the fractal dimension with respect to the engine load were also observed. Both methods of computing Df produced similar trends. Raman spectroscopy was used to quantify the degree of structural disorder present in soot. The Raman spectral analysis was done using two-band (“G” at ~1578 and “D” ~l340 cm⁻­­­¹ and five-band (U, Dl, D2, D3, D4 at about 1580,1350, 1500, 1620 and 1200 cm⁻­­­¹ respectively) combinations. For the soot sampled from VW engine, the results from both methods showed that B20 soot exhibited much greater structural disorder and the degree of graphitization of the soot increased as the engine load increased. Likewise, the Raman analysis of the soot from the Cummins engine also showed that the increased in engine load condition caused increases in the degree of the structural order of soot. 2009-03-03T16:41:26Z 2009-03-03T16:41:26Z 2008 2009-03-03T16:41:26Z 2008-11 Electronic Thesis or Dissertation http://hdl.handle.net/2429/5409 eng University of British Columbia
collection NDLTD
language English
sources NDLTD
description The effect of particulate matter on the climate depends on its scattering properties (influenced by morphology) and refractive index (dependent on microstructure). The morphology and microstructure of particulates from two different engines were studied. The first set of soot samples was collected from a 1.9L Volkswagen Turbo Direct Injection engine with or without a catalytic converter, using two different fuel types (ULSD and B20) and six speed/load combinations. The second set of the samples was taken from a Cummins ISX heavy-duty engine using the Westport pilot-ignited direct injection natural-gas fuelling system for three different speed/load combinations. The soot morphology was investigated using transmission electron microscopy (TEM), emphasizing the fractal properties. A Matlab-based image processor was used to extract geometrical properties of soot. Thirty-five aggregates were analyzed for each sample. The fractal dimensions (Di) were computed using the aggregate dimension and pair correlation methods. For the soot collected from VW engine, it was found that fuel type (ULSE) and B20) and the presence of a catalytic converter did not affect the fractal dimensions of soot aggregates, while engine load conditions had slight influence on Df. At constant engine RPM, fractal dimensions started to decline as the engine torque was significantly increased. For the soot produced by the natural gas engine, similar changes in the fractal dimension with respect to the engine load were also observed. Both methods of computing Df produced similar trends. Raman spectroscopy was used to quantify the degree of structural disorder present in soot. The Raman spectral analysis was done using two-band (“G” at ~1578 and “D” ~l340 cm⁻­­­¹ and five-band (U, Dl, D2, D3, D4 at about 1580,1350, 1500, 1620 and 1200 cm⁻­­­¹ respectively) combinations. For the soot sampled from VW engine, the results from both methods showed that B20 soot exhibited much greater structural disorder and the degree of graphitization of the soot increased as the engine load increased. Likewise, the Raman analysis of the soot from the Cummins engine also showed that the increased in engine load condition caused increases in the degree of the structural order of soot.
author Soewono, Arka
spellingShingle Soewono, Arka
Morphology and microstructure of diesel particulates
author_facet Soewono, Arka
author_sort Soewono, Arka
title Morphology and microstructure of diesel particulates
title_short Morphology and microstructure of diesel particulates
title_full Morphology and microstructure of diesel particulates
title_fullStr Morphology and microstructure of diesel particulates
title_full_unstemmed Morphology and microstructure of diesel particulates
title_sort morphology and microstructure of diesel particulates
publisher University of British Columbia
publishDate 2009
url http://hdl.handle.net/2429/5409
work_keys_str_mv AT soewonoarka morphologyandmicrostructureofdieselparticulates
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