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Eddy Current Sensors Optimization for Defect Detection in Parts Fabricated by Laser Powder Bed Fusion
The production of parts by additive manufacturing is an important issue for the reduction in manufacturing costs and the creation of complex geometries. Optical inspection is often implemented in the machines during the manufacturing process in order to monitor the possible generated defects. Howeve...
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/PMC10181579/ https://www.ncbi.nlm.nih.gov/pubmed/37177537 http://dx.doi.org/10.3390/s23094336 |
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author | Saddoud, Romain Sergeeva-Chollet, Natalia Darmon, Michel |
author_facet | Saddoud, Romain Sergeeva-Chollet, Natalia Darmon, Michel |
author_sort | Saddoud, Romain |
collection | PubMed |
description | The production of parts by additive manufacturing is an important issue for the reduction in manufacturing costs and the creation of complex geometries. Optical inspection is often implemented in the machines during the manufacturing process in order to monitor the possible generated defects. However, it is also crucial to test the quality of the manufactured parts after their fabrication and monitor their health throughout their industrial lifetime. Therefore structural health monitoring (SHM) methods need to be studied or designed. In this paper, the eddy current method is used to control fabricated parts, as this technique is adapted to detect surface and shallow defects in conductive materials. Using simulations with the CIVA non-destructive testing software package, several sensors and their parameters were tested in order to determine the most optimal ones: a separate transmitter/receiver sensor and an isotropic sensor were finally designed. The comparison of these sensors’ efficiency was made on the detection of notches and engraved letters based on simulation and experimental tests on parts fabricated by laser powder bed fusion (L-PBF) in order to determine the optimal sensor. The various tests showed that the isotropic sensor is the optimal one for the detection and characterization of defects. |
format | Online Article Text |
id | pubmed-10181579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101815792023-05-13 Eddy Current Sensors Optimization for Defect Detection in Parts Fabricated by Laser Powder Bed Fusion Saddoud, Romain Sergeeva-Chollet, Natalia Darmon, Michel Sensors (Basel) Article The production of parts by additive manufacturing is an important issue for the reduction in manufacturing costs and the creation of complex geometries. Optical inspection is often implemented in the machines during the manufacturing process in order to monitor the possible generated defects. However, it is also crucial to test the quality of the manufactured parts after their fabrication and monitor their health throughout their industrial lifetime. Therefore structural health monitoring (SHM) methods need to be studied or designed. In this paper, the eddy current method is used to control fabricated parts, as this technique is adapted to detect surface and shallow defects in conductive materials. Using simulations with the CIVA non-destructive testing software package, several sensors and their parameters were tested in order to determine the most optimal ones: a separate transmitter/receiver sensor and an isotropic sensor were finally designed. The comparison of these sensors’ efficiency was made on the detection of notches and engraved letters based on simulation and experimental tests on parts fabricated by laser powder bed fusion (L-PBF) in order to determine the optimal sensor. The various tests showed that the isotropic sensor is the optimal one for the detection and characterization of defects. MDPI 2023-04-27 /pmc/articles/PMC10181579/ /pubmed/37177537 http://dx.doi.org/10.3390/s23094336 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 Saddoud, Romain Sergeeva-Chollet, Natalia Darmon, Michel Eddy Current Sensors Optimization for Defect Detection in Parts Fabricated by Laser Powder Bed Fusion |
title | Eddy Current Sensors Optimization for Defect Detection in Parts Fabricated by Laser Powder Bed Fusion |
title_full | Eddy Current Sensors Optimization for Defect Detection in Parts Fabricated by Laser Powder Bed Fusion |
title_fullStr | Eddy Current Sensors Optimization for Defect Detection in Parts Fabricated by Laser Powder Bed Fusion |
title_full_unstemmed | Eddy Current Sensors Optimization for Defect Detection in Parts Fabricated by Laser Powder Bed Fusion |
title_short | Eddy Current Sensors Optimization for Defect Detection in Parts Fabricated by Laser Powder Bed Fusion |
title_sort | eddy current sensors optimization for defect detection in parts fabricated by laser powder bed fusion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181579/ https://www.ncbi.nlm.nih.gov/pubmed/37177537 http://dx.doi.org/10.3390/s23094336 |
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