Soot Particle Classifications in the Context of a Resistive Sensor Study

Adrien Reynaud (1, 2, 3, 4) , Mickael Leblanc (1) , Stéphane Zinola (1) , Philippe Breuil (2, 3, 4) , Jean-Paul Viricelle (2, 3, 4)

1 IFPEN - IFP Energies nouvelles
2 LGF-ENSMSE - Laboratoire Georges Friedel
3 SPIN-ENSMSE - Centre Sciences des Processus Industriels et Naturels
4 PTSI-ENSMSE - Département Procédés de Transformations des Solides et Instrumentation

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 particle size has been studied using successively an electrostatic and an aerodynamic classification, showing the same trend.

Mots clés: aerodynamic classification; electrostatic classification; sensor; soot

Domaines: Génie des procédés; Ingénierie de l'environnement

Adrien Reynaud, Mickael Leblanc, Stéphane Zinola, Philippe Breuil, Jean-Paul Viricelle. Soot Particle Classifications in the Context of a Resistive Sensor Study. 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⟩. ⟨hal-01997899⟩