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Progress in Evaluation of Deep Artificial Defects from Sweep-Frequency Eddy-Current Testing Signals
The article discusses the practical application of the method of electromagnetic non-destructive investigation of austenitic materials. To identify and evaluate deep artificial defects, the sweep-frequency eddy current method with harmonic excitation is used. The objects of interest are the surface...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346517/ https://www.ncbi.nlm.nih.gov/pubmed/37447933 http://dx.doi.org/10.3390/s23136085 |
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author | Smetana, Milan Gombarska, Daniela Psenakova, Zuzana |
author_facet | Smetana, Milan Gombarska, Daniela Psenakova, Zuzana |
author_sort | Smetana, Milan |
collection | PubMed |
description | The article discusses the practical application of the method of electromagnetic non-destructive investigation of austenitic materials. To identify and evaluate deep artificial defects, the sweep-frequency eddy current method with harmonic excitation is used. The objects of interest are the surface electric-discharged machined notches, with a defined geometry, fabricated in a plate with a thickness of 30 mm. An innovative eddy current probe with a separate excitation and detection circuit is used for the investigation. The achieved results clearly demonstrate the robustness and potential of the method, especially for deep defects in thick material. By using the fifth probe in connection with the frequency sweeping of eddy currents, it is possible to reliably detect artificial defects up to 24 ± 0.5 mm deep by using low-frequency excitation signals. An important fact is that the measuring probe does not have to be placed directly above the examined defect. The experimental results achieved are presented and discussed in this paper. The conducted study can serve, for example, as an input database of defect signals with a defined geometry to increase the convergence of learning networks and for the prediction of the geometry of real (fatigue and stress-corrosion) defects. |
format | Online Article Text |
id | pubmed-10346517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103465172023-07-15 Progress in Evaluation of Deep Artificial Defects from Sweep-Frequency Eddy-Current Testing Signals Smetana, Milan Gombarska, Daniela Psenakova, Zuzana Sensors (Basel) Article The article discusses the practical application of the method of electromagnetic non-destructive investigation of austenitic materials. To identify and evaluate deep artificial defects, the sweep-frequency eddy current method with harmonic excitation is used. The objects of interest are the surface electric-discharged machined notches, with a defined geometry, fabricated in a plate with a thickness of 30 mm. An innovative eddy current probe with a separate excitation and detection circuit is used for the investigation. The achieved results clearly demonstrate the robustness and potential of the method, especially for deep defects in thick material. By using the fifth probe in connection with the frequency sweeping of eddy currents, it is possible to reliably detect artificial defects up to 24 ± 0.5 mm deep by using low-frequency excitation signals. An important fact is that the measuring probe does not have to be placed directly above the examined defect. The experimental results achieved are presented and discussed in this paper. The conducted study can serve, for example, as an input database of defect signals with a defined geometry to increase the convergence of learning networks and for the prediction of the geometry of real (fatigue and stress-corrosion) defects. MDPI 2023-07-01 /pmc/articles/PMC10346517/ /pubmed/37447933 http://dx.doi.org/10.3390/s23136085 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Smetana, Milan Gombarska, Daniela Psenakova, Zuzana Progress in Evaluation of Deep Artificial Defects from Sweep-Frequency Eddy-Current Testing Signals |
title | Progress in Evaluation of Deep Artificial Defects from Sweep-Frequency Eddy-Current Testing Signals |
title_full | Progress in Evaluation of Deep Artificial Defects from Sweep-Frequency Eddy-Current Testing Signals |
title_fullStr | Progress in Evaluation of Deep Artificial Defects from Sweep-Frequency Eddy-Current Testing Signals |
title_full_unstemmed | Progress in Evaluation of Deep Artificial Defects from Sweep-Frequency Eddy-Current Testing Signals |
title_short | Progress in Evaluation of Deep Artificial Defects from Sweep-Frequency Eddy-Current Testing Signals |
title_sort | progress in evaluation of deep artificial defects from sweep-frequency eddy-current testing signals |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346517/ https://www.ncbi.nlm.nih.gov/pubmed/37447933 http://dx.doi.org/10.3390/s23136085 |
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