Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Smetana, Milan, Gombarska, Daniela, Psenakova, Zuzana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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
_version_ 1785073331105431552
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
work_keys_str_mv AT smetanamilan progressinevaluationofdeepartificialdefectsfromsweepfrequencyeddycurrenttestingsignals
AT gombarskadaniela progressinevaluationofdeepartificialdefectsfromsweepfrequencyeddycurrenttestingsignals
AT psenakovazuzana progressinevaluationofdeepartificialdefectsfromsweepfrequencyeddycurrenttestingsignals