Modelling the Influence of Different Soot Types on the Radio-Frequency-Based Load Detection of Gasoline Particulate Filters.
ash
diesel particulate filter (DPF)
finite element method (FEM)
gasoline particulate filter (GPF)
radio frequency (RF)
soot mass determination
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
06 May 2020
06 May 2020
Historique:
received:
25
03
2020
revised:
29
04
2020
accepted:
02
05
2020
entrez:
10
5
2020
pubmed:
10
5
2020
medline:
10
5
2020
Statut:
epublish
Résumé
Gasoline particulate filters (GPFs) are an appropriate means to meet today's emission standards. As for diesel applications, GPFs can be monitored via differential pressure sensors or using a radio-frequency approach (RF sensor). Due to largely differing soot properties and engine operating modes of gasoline compared to diesel engines (e.g., the possibility of incomplete regenerations), the behavior of both sensor systems must be investigated in detail. For this purpose, extensive measurements on engine test benches are usually required. To simplify the sensor development, a simulation model was developed using COMSOL Multiphysics
Identifiants
pubmed: 32384796
pii: s20092659
doi: 10.3390/s20092659
pmc: PMC7248741
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Bayerische Forschungsstiftung
ID : AZ-1288-17
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