Please use this identifier to cite or link to this item: doi:10.22028/D291-40899
Volltext verfügbar? / Dokumentlieferung
Title: Qualification and optimisation of a gas mixing apparatus for complex trace gas mixtures
Author(s): Arendes, Dennis
Amann, Johannes
Tessier, Cyril
Brieger, Oliver
Schütze, Andreas
Burgard, Christian
Language: English
Title: Technisches Messen : tm
Volume: 90
Issue: 12
Publisher/Platform: De Gruyter
Year of Publication: 2023
Free key words: gas mixing apparatus
calibration
trace gas detection
MOS gas sensors
PID
DDC notations: 620 Engineering and machine engineering
Publikation type: Journal Article
Abstract: A gas mixing apparatus (GMA) can provide well-defined gas mixtures, which are necessary to calibrate gas sensors for quantitative measurements. This article presents a novel modular GMA and especially the representative measurements carried out to qualify and quantify its performance. New methods were developed to optimise the GMA’s settling speed and to enable self-monitoring. The GMA is able to provide up to 14 individual test gases, each in a large concentration range from sub-parts-per-billion to hundreds of parts-per-millions. Additionally, the relative humidity can be set. The system is able to provide stable gas mixtures in approximately 6 min. The entire control software is realised in Python, which determines the control setpoints of all relevant system components based on the concentration input of the user. A major focus was placed on minimising the time of a gas mixture exchange to confirm design and additional software optimisation. Also, a number of techniques are shown for the analytical quantification of the system, including analysis of thermal desorption tubes by an accredited laboratory, showing maximal contaminations of e.g. only 4.18 ppb ethanol. Finally, self-monitoring of the system using photoionization detectors (PID) is demonstrated as an addition to flow readback for internal leakage detection.
DOI of the first publication: 10.1515/teme-2023-0075
URL of the first publication: https://www.degruyter.com/document/doi/10.1515/teme-2023-0075/html
Link to this record: urn:nbn:de:bsz:291--ds-408992
hdl:20.500.11880/37532
http://dx.doi.org/10.22028/D291-40899
ISSN: 2196-7113
0171-8096
Date of registration: 24-Apr-2024
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Andreas Schütze
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Files for this record:
There are no files associated with this item.


Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.