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Développement d'un capteur de suies pour application automobile - Etude des paramètres clés affectant sa réponse

Abstract : Road transport contributes to a part of the particulate matter emissions, especially in big cities. Due to the negative effect of these pollutants on the human health and environment, more and more stringent emission standards for automotive are applied. These emissions are now limited in number of particles per kilometer and the vehicle need to indicate when there is some failure of the systems of depollution (OBD: On-Board diagnostic).Resistive sensors have shown good results to measure soot particles mass concentration. They have advantage of being a simple and robust technology that can be easily manufactured at a cheap price. The sensor principle consists of conductance measurement between two platinum electrodes. Conductance increases with soot deposition.This work aims to define the key parameters that affect the sensors response. Three particles flow with different particles size distributions (centered at 90, 70 and 50 nm) were used and characterized. A fourth flow was used to see the impact of a lower mass concentration. The sensor response exposed to these different flows was studied. It was shown that the sensor sensibility and response times are optimal for a given polarization voltage between the electrodes whose value depends on the size distribution. This phenomenon was explained by the different electrical properties of the soot particles and modeled by equilibrium of soot accumulation and their combustion by Joule heating that permitting to simulate the sensor temporal response.
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https://tel.archives-ouvertes.fr/tel-01823856
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Submitted on : Tuesday, June 26, 2018 - 3:09:32 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:15 PM
Long-term archiving on: : Wednesday, September 26, 2018 - 10:06:39 PM

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  • HAL Id : tel-01823856, version 1

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Didier Grondin. Développement d'un capteur de suies pour application automobile - Etude des paramètres clés affectant sa réponse. Autre. Université de Lyon, 2017. Français. ⟨NNT : 2017LYSEM012⟩. ⟨tel-01823856⟩

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