• Media type: E-Article; Text
  • Title: Electrostatic sensor modeling for torque measurements
  • Contributor: Mika, Michal [Author]; Dannert, Mirjam [Author]; Mett, Felix [Author]; Weber, Harry [Author]; Mathis, Wolfgang [Author]; Nackenhorst, Udo [Author]
  • imprint: Göttingen : Copernicus GmbH, 2017
  • Published in: Advances in Radio Science 15 (2017)
  • Issue: published Version
  • Language: English
  • DOI: https://doi.org/10.15488/2098; https://doi.org/10.5194/ars-15-55-2017
  • ISSN: 1684-9965
  • Keywords: Automotive industry ; Measuring method ; Constitutive equations ; Mechanical model ; Metallic patterns ; Capacitive sensors ; Torque ; Engineering applications ; Gluing ; Measurement setup ; Electrostatic sensor ; Electric resistance ; Electrical resistances ; Electrostatics ; Temperature and humidities
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: Torque load measurements play an important part in various engineering applications, as for automotive industry, in which the drive torque of a motor has to be determined. A widely used measuring method are strain gauges. A thin flexible foil, which supports a metallic pattern, is glued to the surface of the object the torque is being applied to. In case of a deformation due to the torque load, the change in the electrical resistance is measured. With the combination of constitutive equations the applied torque load is determined by the change of electrical resistance. The creep of the glue and the foil material, together with the temperature and humidity dependence, may become an obstacle for some applications Kapralov and Fesenko(1984). Thus, there have been optical and magnetical, as well as capacitive sensors introduced ). This paper discusses the general idea behind an electrostatic capacitive sensor based on a simple draft of an exemplary measurement setup. For better understanding an own electrostatical, geometrical and mechanical model of this setup has been developed.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)