Paul Ledger p.d.ledger@keele.ac.uk
Characterisation of multiple conducting permeable objects in metal detection by polarizability tensors
Ledger, P. D.; Lionheart, W. R. B.; Amad, A. A. S.
Authors
W. R. B. Lionheart
A. A. S. Amad
Abstract
Realistic applications in metal detection involve multiple inhomogeneous-conducting permeable objects, and the aim of this paper is to characterise such objects by polarizability tensors. We show that, for the eddy current model, the leading order terms for the perturbation in the magnetic field, due to the presence of N small conducting permeable homogeneous inclusions, comprises of a sum of N terms with each containing a complex symmetric rank 2 polarizability tensor. Each tensor contains information about the shape and material properties of one of the objects and is independent of its position. The asymptotic expansion we obtain extends a previously known result for a single isolated object and applies in situations where the object sizes are small and the objects are sufficiently well separated. We also obtain a second expansion that describes the perturbed magnetic field for inhomogeneous and closely spaced objects, which again characterises the objects by a complex symmetric rank 2 tensor. The tensor's coefficients can be computed by solving a vector valued transmission problem, and we include numerical examples to illustrate the agreement between the asymptotic formula describing the perturbed fields and the numerical prediction. We also include algorithms for the localisation and identification of multiple inhomogeneous objects.
Citation
Ledger, P. D., Lionheart, W. R. B., & Amad, A. A. S. (2019). Characterisation of multiple conducting permeable objects in metal detection by polarizability tensors. Mathematical Methods in the Applied Sciences, 42(3), 830-860. https://doi.org/10.1002/mma.5387
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 29, 2018 |
Online Publication Date | Dec 9, 2018 |
Publication Date | 2019-02 |
Deposit Date | Jun 12, 2023 |
Journal | Mathematical Methods in the Applied Sciences |
Print ISSN | 0170-4214 |
Electronic ISSN | 1099-1476 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 42 |
Issue | 3 |
Pages | 830-860 |
DOI | https://doi.org/10.1002/mma.5387 |
Keywords | General Engineering; General Mathematics |
Public URL | https://keele-repository.worktribe.com/output/445269 |
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