Using finite element modelling and experimental methods to investigate planar coil sensor topologies for inductive measurement of displacement

Moreton, Gregory ORCID: https://orcid.org/0000-0001-8357-5237, Meydan, Turgut ORCID: https://orcid.org/0000-0002-4608-0507 and Williams, Paul ORCID: https://orcid.org/0000-0002-4901-6164 2018. Using finite element modelling and experimental methods to investigate planar coil sensor topologies for inductive measurement of displacement. AIP Advances 8 , 047503. 10.1063/1.4994127

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Abstract

The usage of planar sensors is widespread due to their non-contact nature and small size profiles, however only a few basic design types are generally considered. In order to develop planar coil designs we have performed extensive finite element modelling (FEM) and experimentation to understand the performance of different planar sensor topologies when used in inductive sensing. We have applied this approach to develop a novel displacement sensor. Models of different topologies with varying pitch values have been analysed using the ANSYS Maxwell FEM package, furthermore the models incorporated a movable soft magnetic amorphous ribbon element. The different models used in the FEM were then constructed and experimentally tested with topologies that included mesh, meander, square coil, and circular coil configurations. The sensors were used to detect the displacement of the amorphous ribbon. A LabView program controlled both the displacement stage and the impedance analyser, the latter capturing the varying inductance values with ribbon displacement. There was good correlation between the FEM models and the experimental data confirming that the methodology described here offers an effective way for developing planar coil based sensors with improved performance.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	American Institute of Physics
ISSN:	2158-3226
Date of First Compliant Deposit:	13 October 2017
Date of Acceptance:	31 August 2017
Last Modified:	03 May 2023 08:12
URI:	https://orca.cardiff.ac.uk/id/eprint/105550

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