Processing of thermoelectric converter data considering substrate material properties

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.