2024
DOI: 10.3390/mi15010138
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Thermal Conductivity Gas Sensors for High-Temperature Applications

Nikolay Samotaev,
Boris Podlepetsky,
Mikhail Mashinin
et al.

Abstract: This paper describes a fast and flexible microfabrication method for thermal conductivity gas sensors useful in high-temperature applications. The key parts of the sensor, the microheater and the package, were fabricated from glass-coated platinum wire and the combination of laser micromilling (ablation) of already-sintered monolithic ceramic materials and thick-film screen-printing technologies. The final thermal conductivity gas sensor was fabricated in the form of a complete MEMS device in a metal ceramic p… Show more

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Cited by 2 publications
(3 citation statements)
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“…sensors have been found in many applications, including coal mines, natural gas monitoring (for methane sensing), and light gases such as hydrogen [7].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…sensors have been found in many applications, including coal mines, natural gas monitoring (for methane sensing), and light gases such as hydrogen [7].…”
Section: Introductionmentioning
confidence: 99%
“…Thermal conductivity-based gas sensors have advantages, including eliminating catalysts and adsorbents [ 5 , 6 ]. Moreover, thermal conductivity gas sensors have been found in many applications, including coal mines, natural gas monitoring (for methane sensing), and light gases such as hydrogen [ 7 ].…”
Section: Introductionmentioning
confidence: 99%
“…In order to investigate the specific effects of dust particles on the failure modes of MEMS devices [9] and to assess their reliability, we propose a dust particle contamination experiment. This experiment aims to explore the effect of electrostatic forces [10] generated by friction between dust particles on the electrical characteristics of MEMS sensors [11], and to provide a guiding principle for investigating the fundamentals of MEMS failure. In previous studies, Yuan Changrong [12] specifically analyzed the extent to which the presence or absence of contaminants affects the flow velocity on the surface of the sensor chip through fluent fluid simulation software, and Wei Yujin [13] conducted modeling and simulation experiments on contamination in the sensitive region of a MEMS flowmeter using COMSOL software 6.0.…”
Section: Introductionmentioning
confidence: 99%