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Communications in Numerical Methods in Engineering
Article . 2007 . Peer-reviewed
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Article . 2008
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Finite difference time domain (FDTD) analyses applied to NDT & E inductive sensor modelling

Finite difference time domain (FDTD) analyses applied to NDT \& E inductive sensor modelling
Authors: Silva, Isaac; Beck, J.; Costa, E.; Gaydecki, P.; id_orcid 0000-0002-8180-6836;

Finite difference time domain (FDTD) analyses applied to NDT & E inductive sensor modelling

Abstract

AbstractIn this work, a simple but effective algorithm was developed that can perform 3D simulations of magnetic fields emanating from coils and simple geometry objects in the time‐harmonic domain. The software was intended to provide information that would help in an inductive sensor design, by simulating the interaction of the excitation field with objects with and without defects positioned within the field space of an inductive sensor. The object field was disturbed in all its three components in the presence of a 3D defect. The change in magnetic field intensity caused by the defect was of the order of 104 times smaller than the excitation field at a distance of 15 cm from the objects. This suggests that a large amplification factor should be used in the sensor design. The main contribution of this article lies in the fact that a passive inductive sensor could be modelled by finite difference time domain, with enough details on how it would respond to metal objects and its defects. Copyright © 2007 John Wiley & Sons, Ltd.

Country
United Kingdom
Keywords

Finite differences, Inductive sensor design, finite differences, simulation, Finite difference methods applied to problems in optics and electromagnetic theory, Simulation, inductive sensor design

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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