Eddy currents non destructive testing and evaluation of ferromagnetic medium

• Autorzy: Mehaddene, Hamid , Mohellebi, Hassane , Berkache, Azouaou

Warianty tytułu

PL

Nieniszczące badania ferromagnetycznego elementu metodą prądów wirowych

• Języki publikacji: EN

Abstrakty

EN

This work involves monitoring and non-destructive evaluation by inspecting two separate pieces (conductor and ferromagnetic). A database is established from the resolution of the direct problem. The inverse problem for the reconstitution of supposed single and multiple defects in the plates is then solved and analyzed. The study of the direct problem was made by exploiting the finite element method in resolution of the 2D magnetodynamic electromagnetic equation. Experimental Results are then performed and compared to simulation ones. The neural network technique was used successfully for the reconstruction of a single and multiple defects.

PL

W pracy zaprezentowano monitorowanie i nieniszczące badanie dwóch elementów – przewodzącego i ferromagnetycznego. Rozwiązanie problemu odwrotnego wykorzystano do rekonstrukcji defektu. Wykorzystano też metodę elementów skończonych do rozwiązania równań elektromagnetycznych 2D. Wykorzystano też sieć neuronową do rekonstrukcji kształtu pojedynczego i wielokrotnego defektu.

Słowa kluczowe

PL

badania nieniszczące; metoda prądów wirowych; metoda elementów skończonych; sieć neuronowa

EN

non destructive testing technique; ferromagnetic materials; eddy current; finite element method; artificial neural network

• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2019
• Tom: R. 95, nr 2
• Strony: 112--116
• Opis fizyczny: Bibliogr. 13 poz., rys., tab., wykr.

Twórcy

autor

Mehaddene, Hamid

• Department of Electrotechnics, Mouloud Mammeri University of Tizi-Ouzou, BP 17RP 15000, Algeria,

autor

Mohellebi, Hassane

• Department of Electrotechnics, Mouloud Mammeri University of Tizi-Ouzou, BP 17RP 15000, Algeria,

autor

Berkache, Azouaou

• Department of Electrotechnics, Mouloud Mammeri University of Tizi-Ouzou, BP 17RP 15000, Algeria,

Bibliografia

• [1] Grimberg R., Electromagnetic Nondestructive Evaluation: Present and Future, SV-JME, 57( 2011), No. 3, 204–217.
• [2] Janousek L., Capova K., Yusa N., Miya K., Multiprobe Inspection for Enhancing Sizing Ability in Eddy Current Nondestructive Testing, IEEE Trans. Magn., 44 (2008), No. 6, 1618-1621.
• [3] Hamel A., Mohellebi H., Féliachi M., Imperialist Competitive Algorithm and Particle Swarm Optimization Comparison for Eddy Current Non-destructive Evaluation, PRZEGLĄD ELEKTROTECHNICZNY (Electrical Review), R. 88 NR 9a/2012, ISSN 0033-2097.
• [4] Marco R., Giuseppe S., Luigi F., Marco L., Ibukun D-A., Gui YT., Evaluation of the Lift-off Robustness of Eddy Current Imaging Techniques, NDT & E International., http://dx.doi.org/10.1016/j.ndteint.2016.10.001
• [5] García-Martín J., Gómez-Gil J., Vázquez-Sánchez E., Nondestructive Techniques Based on Eddy Current Testing, Sensors, 11 (2011), 2525-2565
• [6] Lorenzi A., Silva Filho L-C-P-da., Artificial Neural Networks Methods to Analysis of Ultrasonic Testing in Concrete, the eJournal of Nondestructive Testing. 20 (2015), No. 11, ISSN 1435-4934
• [7] Ayad A., Benhamida F., Bendaoud A., Le Bihan Y., Bensetti M., Solution of Inverse Problems in Electromagnetic NDT Using Neural Networks, PRZEGLĄD ELEKTROTECHNICZNY (Electrical Review), R. 87 NR 9a(2011), ISSN 0033-2097
• [8] Haoyu H., Toshiyuki T., Tetsuya U., Fast Numerical Calculation for Crack Modeling in Eddy Current Testing of ferromagnetic materials, Journal of Applied Physics, 94(2003)., No. 9, 5866-5872
• [9] Mingye Y., Satish U., Shreekanth M., Yushi S., Paul S., William L., Solution of Inverse Problems in Electromagnetic NDE Using Finite Element Methods, IEEE Transactions on Magnetics, 34(1998)., No. 5, 2924-2927
• [10] Thomas J-L., Modeling Simplified by Control by Eddy Current of Type of Generator of Steam report of internship ESA IGELEC, 1998, University of Nantes, France
• [11] Francesca C., Alessandra F., Augusto M., Pietro T., Mariangela U., Artificial Neural Networks for Non-Destructive Evaluation with Ultrasonic Waves in not Accessible Pipes, IEEE, 6(2005), No. 05, 685-692
• [12] Martin T., Hagan., Mohammad B., Menhaj., Training Feedforward Networks with the Marquardt Algorithm, IEEE, Trans, Neural Networks, 5(1994), No. 6, 989-993
• [13] Lande P-S., Gadewar A-S., October 2012. Application of Artificial Neural Networks in Prediction of Compressive Strength of Concrete by Using Ultrasonic Pulse Velocities, IOSR Journal of Mechanical and Civil Engineering (IOSRJMCE), 1 (2012) No. 3 ISSN: 2278-1684, PP 34-42

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).

Identyfikatory

DOI

10.15199/48.2019.02.26