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Characterization of the ZrO2 NOx sensor
Linköping University, Department of Physics, Chemistry and Biology, Applied Sensor Science.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The NOx sensor is one of the cornerstones in the SCR NOx reduction system in today’s automobiles. The sensor’s ability to fast and accurately determine the exhaust NOx level is crucial to the effectiveness of the applied NOx abatement measure. The aim of this work is to stand as a base which can be used when comparing sensors under development with the existing sensor technology, while also comparing the sensor’s performance with near-future requirement specifications from two large car and truck manufacturers. Therefore, basic features like response -magnitude and -time, recovery time, selectivity towards some of the common gases in exhaust gas as well as the effect of water vapour, flow rates and different compositions of NOx have been studied and characterized in this work.

The ZrO2 NOx sensor is found to work well in the range of 50 ppm and up while having some accuracy problems in the lower concentration region. This while still showing good selectivity to NOx gases, with only ammonia among the tested gases giving a sizable response with 30% of the NOx‑response. In addition to that the sensor has proven itself to work better in some aspects for low relative humidity condition, 5 - 10%, than in a completely dry environment, with a reduced signal to noise ratio and lowering the response- and recovery ‑time by up to 60% for low NO concentrations. The sensor failed the requirements concerning the response- and recovery- time while barely managing to pass the minimum requirement for accuracy.

Place, publisher, year, edition, pages
2017. , p. 27
National Category
Other Physics Topics
Identifiers
URN: urn:nbn:se:liu:diva-138778ISRN: LITH-IFM-A-EX—17/3419--SEOAI: oai:DiVA.org:liu-138778DiVA, id: diva2:1114344
Subject / course
Physics
Presentation
2017-06-16, P310, Linköping, 10:15 (English)
Supervisors
Available from: 2018-04-26 Created: 2017-06-22 Last updated: 2018-04-26Bibliographically approved

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Citation style
  • apa
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Output format
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