Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren

The Effect of the Thickness of the Sensitive Layer on the Performance of the Accumulating NOx Sensor

Title data

Groß, Andrea ; Richter, Miriam ; Kubinski, David J. ; Visser, Jacobus H. ; Moos, Ralf:
The Effect of the Thickness of the Sensitive Layer on the Performance of the Accumulating NOx Sensor.
In: Sensors. Vol. 12 (2012) Issue 9 . - pp. 12329-12346.
ISSN 1424-8220

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
No information
MO 1060/15-1

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

A novel and promising method to measure low levels of NOx utilizes the accumulating sensor principle. During an integration cycle, incoming NOx molecules are stored in a sensitive layer based on an automotive lean NOx trap (LNT) material that changes its electrical resistivity proportional to the amount of stored NOx, making the sensor suitable for long-term detection of low levels of NOx. In this study, the influence of the thickness of the sensitive layer, prepared by multiple screen-printing, is investigated. All samples show good accumulating sensing properties for both NO and NO2. In accordance to a simplified model, the base resistance of the sensitive layer and the sensitivity to NOx decrease with increasing thickness. Contrarily, the sensor response time increases. The linear measurement range of all samples ends at a sensor response of about 30% resulting in an increase of the linearly detectable amount with the thickness. Hence, the variation of the thickness of the sensitive layer is a powerful tool to adapt the linear measurement range (proportional to the thickness) as well as the sensitivity (proportional to the inverse thickness) to the application requirements. Calculations combining the sensor model with the measurement results indicate that for operation in the linear range, about 3% of the LNT material is converted to nitrate.

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
Research Institutions > Research Units > ZET - Zentrum für Energietechnik
Research Institutions > Research Units > BERC - Bayreuth Engine Research Center
Faculties > Faculty of Engineering Science > Chair Functional Materials
Research Institutions
Research Institutions > Research Units
Profile Fields > Advanced Fields > Advanced Materials
Research Institutions > Research Centres > Bayreuth Center for Material Science and Engineering - BayMAT
Profile Fields
Profile Fields > Advanced Fields
Research Institutions > Research Centres
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 19 Jan 2015 11:37
Last Modified: 14 Apr 2016 06:50