Electrostatic sensor modeling for torque measurements

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Mika, M.; Dannert, M.; Mett, F.; Weber, H.; Mathis, W. et al.: Electrostatic sensor modeling for torque measurements. In: Advances in Radio Science 15 (2017), S. 55-60. DOI: https://doi.org/10.5194/ars-15-55-2017

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/2098

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Sum total of downloads: 178




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Abstract: 
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.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Elektrotechnik und Informatik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 120 67.42%
2 image of flag of United States United States 24 13.48%
3 image of flag of China China 13 7.30%
4 image of flag of United Kingdom United Kingdom 4 2.25%
5 image of flag of India India 2 1.12%
6 image of flag of Algeria Algeria 2 1.12%
7 image of flag of Belgium Belgium 2 1.12%
8 image of flag of Sweden Sweden 1 0.56%
9 image of flag of Russian Federation Russian Federation 1 0.56%
10 image of flag of Serbia Serbia 1 0.56%
    other countries 8 4.49%

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