| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Peyton, Antony J.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2024Classification of Wrought and Cast Aluminium using Magnetic Induction Spectroscopy and Machine Vision
- 2023Computations and measurements of the magnetic polarizability tensor characterisation of highly conducting and magnetic objectscitations
- 2023A review of the classification of non-ferrous metals using magnetic induction for recyclingcitations
- 2023Scrap metal classification using magnetic induction spectroscopy and machine visioncitations
- 2019Classification of Non-ferrous Scrap Metal using Two Component Magnetic Induction Spectroscopy
- 2019Magnetic characterisation of grain size and precipitate distribution by major and minor BH loop measurementscitations
- 2017Classification of Non-ferrous Metals using Magnetic Induction Spectroscopycitations
- 2017Detection of creep degradation during pressure vessel testing using electromagnetic sensor technologycitations
- 2017Optimized setup and protocol for magnetic domain imaging with in Situ hysteresis measurementcitations
- 2017Electromagnetic tensor spectroscopy for sorting of shredded metallic scrapcitations
- 2017Selective recovery of metallic scraps using electromagnetic tensor spectroscopy
- 2016Defect representation using the electromagnetic tensor formulation for eddy current NDT
- 2015Electromagnetic evaluation of the microstructure of grade 91 tubes/pipescitations
- 2015Rapid Non-Contact Relative Permittivity Measurement of Fruits and Vegetables using Magnetic Induction Spectroscopycitations
- 2014Differential permeability behaviour of P9 and T22 power station Steelscitations
- 2013Magnetic sensing for microstructural assessment of power station steels: Differential permeability and magnetic hysteresiscitations
- 2006Electromagnetic visualisation of steel flow in continuous casting nozzlescitations
- 2006A three-dimensional inverse finite-element method applied to experimental eddy-current imaging datacitations
- 2003Development of a sensor for visualization of steel flow in the continuous casting nozzlecitations
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article
Differential permeability behaviour of P9 and T22 power station Steels
Abstract
Analysis of the electromagnetic (EM) properties of power station steels, measured using a non-contact magnetic sensor, is of significance as such properties are indicative of the microstructure of the material and can be potentially exploited for non-destructive testing. In this paper, we present EM measurements of cylindrical power station steel samples (P9 and T22 grades) with different microstructures: normalised and tempered (representative of the initial condition), as normalised and after service exposure. In order to obtain the magnetic properties the B–H curves of these samples were measured. Cylindrical air-cored and printed circuit board (PCB) coil integrated sensors were used to measure the incremental permeability. Analytical and numerical methods (Finite Elements Methods) were employed to calculate the sensor response of these samples. The electromagnetic properties of the different steels were inferred by fitting the finite element models to the measured results. In addition, sensitivity and error analysis were carried out to evaluate the accuracy of the method.