Publikationstyp: Beitrag in wissenschaftlicher Zeitschrift
Art der Begutachtung: Peer review (Publikation)
Titel: Measurement of gas thermal properties using the parametric reduced-order modeling approach
Autor/-in: Badarlis, Anastasios
Stingelin, Simon
Pfau, Axel
Kalfas, Anestis
DOI: 10.1109/JSEN.2016.2558820
Erschienen in: IEEE Sensors Journal
Band(Heft): 16
Heft: 12
Seiten: 4704
Seiten bis: 4714
Erscheinungsdatum: 2016
Verlag / Hrsg. Institution: IEEE
ISSN: 1530-437X
1558-1748
Sprache: Englisch
Fachgebiet (DDC): 620: Ingenieurwesen
Zusammenfassung: This 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%.
URI: https://digitalcollection.zhaw.ch/handle/11475/15844
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Engineering
Organisationseinheit: Institut für Angewandte Mathematik und Physik (IAMP)
Enthalten in den Sammlungen:Publikationen School of Engineering

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