Material screening for fully printed polymer-based thermocouples designed for use in harsh environments

Marcel Knoll, Christina Offenzeller, Bernhard Jakoby, Wolfgang Hilber

Research output: Contribution to journalArticlepeer-review

Abstract

Thermocouples are widely used as temperature sensors and most commonly made of two different metallic electrodes which are in contact at the measuring junction. In this work we present an approach to embed thermocouples in the painted surface of machine components, facilitating measurement directly at the point of interest for certain applications. The utilized spray process allows a cost-effective and fast fabrication method. In order to be competitive with available sensors, the spray-processed sensor ideally has to provide an output voltage in the same range as commercial ones and should withstand temperatures up to 200 °C while providing reliable adhesion to the surface at the same time. To meet these requirements, a material screening was performed including commercial as well as custom-fabricated paints. In particular, different commercial paints based on silver were combined with a carbon black polyamide-imide paint to form thermocouples which were then characterized regarding adhesion, noise and sensitivity (Seebeck coefficient). Furthermore, custom-fabricated paints based on iron and silver in a polymer binder were evaluated and compared to a commercial type J thermocouple (iron-constantan thermocouple). The paper reports on identified suitable material combinations and the associated sensor performances.
Original languageEnglish
Article number105104
Pages (from-to)105104
Number of pages7
JournalMeasurement Science and Technology
Volume29
Issue number10
DOIs
Publication statusPublished - 06 Sept 2018

Fields of science

  • 202019 High frequency engineering
  • 202021 Industrial electronics
  • 202036 Sensor systems
  • 203017 Micromechanics
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202027 Mechatronics
  • 202028 Microelectronics
  • 202037 Signal processing

JKU Focus areas

  • Mechatronics and Information Processing

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