on the publication serverTitle data
Herrmann, Julia ; Hagen, Gunter ; Kita, Jaroslaw ; Noack, Frank ; Bleicker, Dirk ; Moos, Ralf:
Multi-gas sensor to detect simultaneously nitrogen oxides and oxygen.
In: Journal of Sensors and Sensor Systems.
Vol. 9
(2020)
Issue 2
.
- pp. 327-335.
ISSN 2194-878X
DOI: https://doi.org/10.5194/jsss-9-327-2020
Abstract in another language
Due to tightened emission limits, the efficiency of exhaust gas aftertreatment systems has to be further enhanced. Therefore, inexpensive and robust NOx sensors are required to be installed not only in automotive exhausts, but also in any other kind of combustion-based application. In this contribution, an impedimetric NOx sensor is presented. The impedance of a functional thick film (KMnO4, manufactured in a screen-printing technique on planar alumina substrates) depends selectively on the NOx concentration in the exhaust but shows a dependency on the oxygen concentration. Therefore, an additional temperature-independent resistive oxygen sensor structure was integrated on the same sensor platform. BFAT (BaFe0.74Al0.01Ta0.25O3−δ (BaFe0.74Al0.01Ta0.25O3−δ) was used for this purpose, and the measurement was conducted in the dc resistance mode. It serves not only to determine the oxygen concentration in the exhaust, but also to correct the oxygen dependency of the NOx sensor.
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 > Research Centres > Bayreuth Center for Material Science and Engineering - BayMAT Research Institutions > Research Units > BERC - Bayreuth Engine Research Center |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
| Date Deposited: | 13 Oct 2020 08:43 |
| Last Modified: | 13 Oct 2020 08:43 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/58202 |
