A Study on the Magnetic Polarizability Tensors of Minimum Metal Anti-Personnel Landmines

Özdeğer, Toykan; Ledger, P.D.; Peyton, Anthony

doi:10.1109/i2mtc48687.2022.9806662

Cited by 2 publications

(2 citation statements)

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“…Lower metal content objects produce a weaker signal, that is harder to measure, compared to the stronger signal produced by higher metal content objects. Nevertheless, the apparatus was designed for the measurement of minimum metal content anti-personnel landmines, which have a lower metal content than the lowest denomination 1p, 2p coins considered (Özdeğer et al. , 2022b).…”

Section: Resultsmentioning

confidence: 99%

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Computations and measurements of the magnetic polarizability tensor characterisation of highly conducting and magnetic objects

Elgy,

Ledger,

Davidson

et al. 2023

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PurposeThe ability to characterise highly conducting objects, that may also be highly magnetic, by the complex symmetric rank–2 magnetic polarizability tensor (MPT) is important for metal detection applications including discriminating between threat and non-threat objects in security screening, identifying unexploded anti-personnel landmines and ordnance and identifying metals of high commercial value in scrap sorting. Many everyday non-threat items have both a large electrical conductivity and a magnetic behaviour, which, for sufficiently weak fields and the frequencies of interest, can be modelled by a high relative magnetic permeability. This paper aims to discuss the aforementioned idea.Design/methodology/approachThe numerical simulation of the MPT for everyday non-threat highly conducting magnetic objects over a broad range of frequencies is challenging due to the resulting thin skin depths. The authors address this by employing higher order edge finite element discretisations based on unstructured meshes of tetrahedral elements with the addition of thin layers of prismatic elements. Furthermore, computer aided design (CAD) geometrical models of the non-threat and threat object are often not available and, instead, the authors extract the geometrical features of an object from an imaging procedure.FindingsThe authors obtain accurate numerical MPT characterisations that are in close agreement with experimental measurements for realistic physical objects. The assessment of uncertainty shows the impact of geometrical and material parameter uncertainties on the computational results.Originality/valueThe authors present novel computations and measurements of MPT characterisations of realistic objects made of magnetic materials. A novel assessment of uncertainty in the numerical predictions of MPT characterisations for uncertain geometry and material parameters is included.

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Section: Resultsmentioning

confidence: 99%

“…Abdel-Rehim et al. , 2016; Özdeğer et al. , 2022b; Elgy and Ledger, 2023a), identifying metal fragments in food and pharmaceutical production lines (e.g.…”

Section: Introductionmentioning

confidence: 99%

Computations and measurements of the magnetic polarizability tensor characterisation of highly conducting and magnetic objects

Elgy,

Ledger,

Davidson

et al. 2023

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Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest

Elgy,

Ledger

2023

Engineering with Computers

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The magnetic polarizability tensor (MPT) is an economical characterisation of a conducting magnetic object, which can assist with identifying hidden targets in metal detection. The MPT’s coefficients depend on multiple parameters of interest including the object shape, size, electrical conductivity, magnetic permeability, and the frequency of excitation. The computation of the coefficients follow from post-processing an eddy current transmission problem solved numerically using high-order finite elements. To reduce the computational cost of constructing these characterisations for multiple different parameters, we compare three methods by which the MPT can be efficiently calculated for two-dimensional parameter sets, with different levels of code invasiveness. We compare, with numerical examples, a neural network regression of MPT eigenvalues with a projection-based reduced order model (ROM) and a neural network enhanced ROM (POD–NN) for predicting MPT coefficients.

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A Study on the Magnetic Polarizability Tensors of Minimum Metal Anti-Personnel Landmines

Cited by 2 publications

References 14 publications

Computations and measurements of the magnetic polarizability tensor characterisation of highly conducting and magnetic objects

Computations and measurements of the magnetic polarizability tensor characterisation of highly conducting and magnetic objects

Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest

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