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dc.contributor.authorBadarlis, Anastasios-
dc.contributor.authorStingelin, Simon-
dc.contributor.authorPfau, Axel-
dc.contributor.authorKalfas, Anestis-
dc.date.accessioned2019-03-06T15:44:37Z-
dc.date.available2019-03-06T15:44:37Z-
dc.date.issued2016-
dc.identifier.issn1530-437Xde_CH
dc.identifier.issn1558-1748de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/15844-
dc.description.abstractThis paper deals with a thermal gas property micro-sensor. The proposed modeling approach of the sensor was based on reduced order modeling, in contrast to the traditional analytical modelling approach, which is the standard for this kind of sensors. This sensor was deployed for the measurement of the thermal conductivity (k) and the volumetric heat capacity (ρc p) of gases and works according to the temperature oscillation technique. A proper model is crucial for the measurement accuracy. The scope of this paper was to investigate the applicability of a sensor model based on a reduced-order modeling approach, intending to improve the performance of this sensor, as the behavior of the sensor can be modeled much more accurately than using an analytical model. For this reason, a parametric model-order reduction technique using proper orthogonal decomposition was applied. The main advantage of the reduced-order model is the high accuracy in the modeling of the conductive heat transfer problem, while it requires low computation effort. The approach was tested experimentally, where the model was calibrated in two pure gases and evaluated in 21 gases and gas mixtures. The sensor achieved an accuracy in the thermal conductivity of 6.5% and in the volumetric heat capacity of 3.2%.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.relation.ispartofIEEE Sensors Journalde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc620: Ingenieurwesende_CH
dc.titleMeasurement of gas thermal properties using the parametric reduced-order modeling approachde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Mathematik und Physik (IAMP)de_CH
dc.identifier.doi10.1109/JSEN.2016.2558820de_CH
zhaw.funding.euNode_CH
zhaw.issue12de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end4714de_CH
zhaw.pages.start4704de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume16de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
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Badarlis, A., Stingelin, S., Pfau, A., & Kalfas, A. (2016). Measurement of gas thermal properties using the parametric reduced-order modeling approach. IEEE Sensors Journal, 16(12), 4704–4714. https://doi.org/10.1109/JSEN.2016.2558820
Badarlis, A. et al. (2016) ‘Measurement of gas thermal properties using the parametric reduced-order modeling approach’, IEEE Sensors Journal, 16(12), pp. 4704–4714. Available at: https://doi.org/10.1109/JSEN.2016.2558820.
A. Badarlis, S. Stingelin, A. Pfau, and A. Kalfas, “Measurement of gas thermal properties using the parametric reduced-order modeling approach,” IEEE Sensors Journal, vol. 16, no. 12, pp. 4704–4714, 2016, doi: 10.1109/JSEN.2016.2558820.
BADARLIS, Anastasios, Simon STINGELIN, Axel PFAU und Anestis KALFAS, 2016. Measurement of gas thermal properties using the parametric reduced-order modeling approach. IEEE Sensors Journal. 2016. Bd. 16, Nr. 12, S. 4704–4714. DOI 10.1109/JSEN.2016.2558820
Badarlis, Anastasios, Simon Stingelin, Axel Pfau, and Anestis Kalfas. 2016. “Measurement of Gas Thermal Properties Using the Parametric Reduced-Order Modeling Approach.” IEEE Sensors Journal 16 (12): 4704–14. https://doi.org/10.1109/JSEN.2016.2558820.
Badarlis, Anastasios, et al. “Measurement of Gas Thermal Properties Using the Parametric Reduced-Order Modeling Approach.” IEEE Sensors Journal, vol. 16, no. 12, 2016, pp. 4704–14, https://doi.org/10.1109/JSEN.2016.2558820.


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