Issue |
Eur. Phys. J. Appl. Phys.
Volume 83, Number 2, August 2018
Numelec 2017
|
|
---|---|---|
Article Number | 20901 | |
Number of page(s) | 7 | |
Section | Physics of Energy Transfer, Conversion and Storage | |
DOI | https://doi.org/10.1051/epjap/2018170411 | |
Published online | 18 October 2018 |
https://doi.org/10.1051/epjap/2018170411
Regular Article
Electrical conductivity identification of a carbon fiber composite material plate using a rotating magnetic field and multi-coil eddy current sensor★
1
LSTE Laboratory, Department of Electrical Engineering, University of Batna 2,
Fesdis,
Batna
05078, Algeria
2
Research Institute of Electrical Energy (IREENA-IUT), CRTT,
44602
Saint Nazaire Cedex, France
3
Electromagnetic Systems Laboratory, Polytechnic Military School (EMP),
BP-17 Bordj El Bahri,
16111
Algiers, Algeria
4
Laboratoire de Physique des Matériaux, Université de Laghouat,
Laghouat
03000, Algeria
* e-mail: lahrech.ch@gmail.com
Received:
14
December
2017
Received in final form:
21
March
2018
Accepted:
15
June
2018
Published online: 18 October 2018
This paper proposes a contactless method for the identification of the electrical conductivity tensor of a carbon fiber composite materials plate using a rotating magnetic field and multi-coil eddy current sensor. This sensor consists of identical rectangular multi-coil, excited by two-phase sinusoidal current source in order to generate a rotating magnetic field and to avoid the mechanical rotation of the sensor. The fibers orientations, the longitudinal and transverse conductivities in each ply of carbon fiber composite material plate were directly determined with analysis of the impedance variation of each coil as function of its angular position. The inversion process is based on the use of artificial neural networks. The direct calculation associated with artificial neural networks makes use of 3D time-harmonic finite element method based on the A, V–A formulation.
© EDP Sciences, 2018
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