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On the influence of the NOₓ equilibrium reaction on mixed potential sensor signals : a comparison between FE modelling and experimental data

Title data

Ritter, Thomas ; Lattus, Julia ; Hagen, Gunter ; Moos, Ralf:
On the influence of the NOₓ equilibrium reaction on mixed potential sensor signals : a comparison between FE modelling and experimental data.
In: Sensors and Actuators B: Chemical. Vol. 296 (2019) . - 126627.
ISSN 0925-4005
DOI: https://doi.org/10.1016/j.snb.2019.126627

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Sensor zur direkten Ermittlung des Umsatzes eines Autoabgaskatalysators
HA 5339/1-1

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

The detection of NOx in automotive exhaust gas is a challenge for electrochemical gas sensors. In most cases, measuring systems are unsuitable to distinguish between NO and NO2. Mixed potential sensors can theoretically determine with sufficient selectivity NO or NO2. One issue to be considered is that heterogeneous catalysis brings the NOx mixtures partly into the thermodynamic equilibrium. Therefore, the influence of this NOx conversion is investigated in this paper. For this purpose, an FE model for mixed potential sensors is used to verify whether the NOx equilibrium must be taken into account in order to simulate the sensor behavior in the measurements. It is explained how the necessary parameters for the model are quantified. It is shown that the sensor behavior can be reproduced without considering the equilibrium if NO or NO2 is dosed alone. In the NO/NO2 mixture, on the other hand, it is no longer possible for a model without NOx equilibrium to agree with the experimental data. Only when considering the heterogeneously catalyzed NOx conversion, it is possible to explain numerically the measured data with astonishing agreement. Furthermore, the resulting data set can be used for other electrode geometries without having to characterize them electrochemically again.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Functional Materials > Chair Functional Materials - Univ.-Prof. Dr.-Ing. Ralf Moos
Profile Fields > Advanced Fields > Advanced Materials
Research Institutions > Central research institutes > Bayreuth Center for Material Science and Engineering - BayMAT
Research Institutions > Research Units > BERC - Bayreuth Engine Research Center
Faculties
Faculties > Faculty of Engineering Science > Chair Functional Materials
Profile Fields
Profile Fields > Advanced Fields
Research Institutions
Research Institutions > Central research institutes
Research Institutions > Research Units
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 03 Jul 2019 07:02
Last Modified: 22 Nov 2023 14:28
URI: https://eref.uni-bayreuth.de/id/eprint/49806