Back to Search
Start Over
Soot Particle Classifications in the Context of a Resistive Sensor Study
- Source :
- Proceedings, EUROSENSORS 2018, EUROSENSORS 2018, Materials Center Leoben Forschungs GmbH; University of Graz (Uni Graz); Graz University of Technology (TU Graz), Sep 2018, Graz, Austria. pp.987, ⟨10.3390/proceedings2130987⟩, Proceedings, Vol 2, Iss 13, p 987 (2018)
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- International audience; Since 2011, Euro 5b European standard limits the particle number (PN) emissions in addition to the particulate matter (PM) emissions. New thermal engines equipped vehicles have to auto-diagnose their own Diesel particulate filter (DPF) using on-board diagnostic (OBD) sensors. Accumulative resistive soot sensors seem to be good candidates for PM measurements. The aim of this study is to bring more comprehension about soot micro-structures construction in order to link the response of such a sensor to particle size and PN concentration. The sensor sensitivity to the particlesize has been studied using successively an electrostatic and an aerodynamic classification, showing the same trend.
- Subjects :
- Particle number
020209 energy
lcsh:A
Context (language use)
02 engineering and technology
medicine.disease_cause
7. Clean energy
01 natural sciences
soot
Automotive engineering
sensor
0202 electrical engineering, electronic engineering, information engineering
medicine
electrostatic classification
[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering
Resistive touchscreen
Diesel particulate filter
[SDE.IE]Environmental Sciences/Environmental Engineering
010401 analytical chemistry
Particulates
Soot
0104 chemical sciences
13. Climate action
Particle
Environmental science
aerodynamic classification
Particle size
lcsh:General Works
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Proceedings, EUROSENSORS 2018, EUROSENSORS 2018, Materials Center Leoben Forschungs GmbH; University of Graz (Uni Graz); Graz University of Technology (TU Graz), Sep 2018, Graz, Austria. pp.987, ⟨10.3390/proceedings2130987⟩, Proceedings, Vol 2, Iss 13, p 987 (2018)
- Accession number :
- edsair.doi.dedup.....e02a2f45a1730310a90f66328b7f787f
- Full Text :
- https://doi.org/10.3390/proceedings2130987⟩