Development of a sensor for visualization of steel flow in the continuous casting mould

Higson, S. R.; Drake, Pat; Stamp, D. W.; Peyton, A. J.; Binns, R.; Lionheart, William R B; Lyons, Anthony R. A.

doi:10.1051/metal:2003125

Cited by 7 publications

(4 citation statements)

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“…Eddy current induction leads to a change in the magnetic field which can be exploited to produce conductivity maps of the sample. EII is largely exploited both for biomedical imaging applications [1][2][3] and in Non Destructive Evaluation (NDE) for crack detection during industrial inspections [6][7][8] . Recent work has been focused on the development of an EII detection system for applications in the field of National Nuclear Security [9][10] .…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic induction imaging of concealed metallic objects by means of resonating circuits

Guilizzoni

Watson

Bartlett

et al. 2016

Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI

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An electromagnetic induction system, suitable for 2D imaging of metallic samples of different electrical conductivities, has been developed. The system is based on a parallel LCR circuit comprising a ferrite-cored coil (7.8 mm x 9.5 mm, L=680 μH at 1 KHz), a variable resistor and capacitor. The working principle of the system is based on eddy current induction inside a metallic sample when this is introduced into the AC magnetic field created by the coil. The inductance of the LCR circuit is modified due to the presence of the sample, to an extent that depends on its conductivity. Such modification is known to increase when the system is operated at its resonant frequency. Characterizing different metals based on their values of conductivity is therefore possible by utilizing a suitable system operated at resonance. Both imaging and material characterization were demonstrated by means of the proposed electromagnetic induction technique. Furthermore, the choice of using a system with an adjustable resonant frequency made it possible to select resonances that allow magnetic-field penetration through conductive screens. Investigations on the possibility of imaging concealed metals by penetrating such shields have been carried out. A penetration depth of δ~3 mm through aluminium (Al) was achieved. This allowed concealed metallic samples-having conductivities ranging from 0.54 to 59.77 MSm-1 and hidden behind 1.5-mm-thick Al shields-to be imaged. Our results demonstrate that the presence of the concealed metallic objects can be revealed. The technique was thus shown to be a promising detection tool for security applications.

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Section: Introductionmentioning

confidence: 99%

Electromagnetic induction imaging of concealed metallic objects by means of resonating circuits

Guilizzoni

Watson

Bartlett

et al. 2016

Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI

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“…MIT has applications to industrial process monitoring [6] , nondestructive testing [7] , medical diagnosis [11], [15] and geophysics [3] . The calculation of the sensitivity can be used as an aid to the design of system, so the coil configuration can be designed to maximise the difference in induced voltage measured for conductivity changes that need to be detected.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity maps in three-dimensional magnetic induction tomography

Soleimani¹

2006

insight

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Magnetic induction tomography (MIT) attempts to image the electromagnetic characteristics of an object by measuring the mutual inductances between pairs of coils placed around its periphery. MIT is a multiple coil eddy current testing method, so the technique developed in conventional MIT systems can easily be adapted for general eddy current NDT. For the image reconstruction in MIT, one needs to solve the forward problem as well as the sensitivity maps. In this paper we present three-dimensional sensitivity maps for permeability and conductivity, calculated based on an edge-based finite element software developed for MIT image reconstruction. The differences between sensitivity maps for conductivity and permeability have been studied. The sensitivity maps presented in this paper are the fundamental bases for the image reconstruction in MIT.

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“…Work to design and test an electromagnetic technique to visualise the steel flow pattern in the tundish pouring nozzle is reported. Initial development work 1,2 has been extended by pilot plant and production plant trials at Corus.…”

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confidence: 99%