Processing of thermoelectric converter data considering substrate material properties
Dobrov Yu. V. 1, Eremenko P. S.1, Lashkov V. A. 1
1St. Petersburg State University, St. Petersburg, Russia
Email: y.dobrov@spbu.ru

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This paper introduces a comprehensive mathematical model for a gradient heat flux sensor, which accounts for substrate properties, and explores the influence of substrate parameters on sensor performance. Through a comparative analysis, we juxtapose this model with an alternative data processing approach that disregards substrate properties and assumes zero heat flux on the rear side. Our investigation exposes a substantial dependence of the collected data on the thermophysical attributes of the substrate. Additionally, experimental data acquired from the sensor, measuring heat flux density from a known source, undergo processing using the proposed model to assess its effectiveness. Keywords: gradient heat flux sensor, thermometry, signal processing technique.
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