Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...

Details

Autor(en) / Beteiligte
Titel
Calculation of mass-weighted distribution of diesel particulate matters using primary particle density
Ist Teil von
  • Journal of aerosol science, 2011-06, Vol.42 (6), p.419-427
Ort / Verlag
Oxford: Elsevier Ltd
Erscheinungsjahr
2011
Link zum Volltext
Quelle
Elsevier ScienceDirect Journals Complete
Beschreibungen/Notizen
  • Recently, the diesel engine particulate matter (PM) emission standard was changed from being based on mass to being based on both number and mass. However, it is difficult to determine the mass- and number-weighted distributions simultaneously because of the complex shapes of PM. We studied a new method to determine the mass-weighted distribution of PM using the primary particle density, and compared it with two conventional PM measurement methods using effective density and gravimetric filtration. In the method developed, the primary particle size was measured using transmission electron microscopy (TEM)-calibrated laser-induced incandescence (LII) to detect changes in the primary particle size in real-time. The number-weighted distribution of aggregates was measured with a scanning mobility particle sizer (SMPS). The mass–mobility exponent and the effective density were determined with an impactor and the SMPS. The differences in the mass concentrations for each technique were between 3.1% and 29.9%. ► Measurement of number- and mass-weighted distribution of diesel PM is conducted. ► Primary particle density is used for mass calculation. ► Result is compared with conventional mass measurement techniques. ► The difference of mass concentration is 3.1–29.9%.
Sprache
Englisch
Identifikatoren
ISSN: 0021-8502
eISSN: 1879-1964
DOI: 10.1016/j.jaerosci.2011.03.005
Titel-ID: cdi_proquest_miscellaneous_869583886

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX