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Multi-Frequency Magnetic Induction Tomography System and Algorithm for Imaging Metallic Objects
Magnetic induction tomography (MIT) is largely focused on applications in biomedical and industrial process engineering. MIT has a great potential for imaging metallic samples; however, there are fewer developments directed toward the testing and monitoring of metal components. Eddy-current non-dest...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199193/ https://www.ncbi.nlm.nih.gov/pubmed/34070503 http://dx.doi.org/10.3390/s21113671 |
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author | Dingley, Gavin Soleimani, Manuchehr |
author_facet | Dingley, Gavin Soleimani, Manuchehr |
author_sort | Dingley, Gavin |
collection | PubMed |
description | Magnetic induction tomography (MIT) is largely focused on applications in biomedical and industrial process engineering. MIT has a great potential for imaging metallic samples; however, there are fewer developments directed toward the testing and monitoring of metal components. Eddy-current non-destructive testing is well established, showing that corrosion, fatigue and mechanical loading are detectable in metals. Applying the same principles to MIT would provide a useful imaging tool for determining the condition of metal components. A compact MIT instrument is described, including the design aspects and system performance characterisation, assessing dynamic range and signal quality. The image rendering ability is assessed using both external and internal object inclusions. A multi-frequency MIT system has similar capabilities as transient based pulsed eddy current instruments. The forward model for frequency swap multi-frequency is solved, using a computationally efficient numerical modelling with the edge-based finite elements method. The image reconstruction for spectral imaging is done by adaptation of a spectrally correlative base algorithm, providing whole spectrum data for the conductivity or permeability. |
format | Online Article Text |
id | pubmed-8199193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81991932021-06-14 Multi-Frequency Magnetic Induction Tomography System and Algorithm for Imaging Metallic Objects Dingley, Gavin Soleimani, Manuchehr Sensors (Basel) Article Magnetic induction tomography (MIT) is largely focused on applications in biomedical and industrial process engineering. MIT has a great potential for imaging metallic samples; however, there are fewer developments directed toward the testing and monitoring of metal components. Eddy-current non-destructive testing is well established, showing that corrosion, fatigue and mechanical loading are detectable in metals. Applying the same principles to MIT would provide a useful imaging tool for determining the condition of metal components. A compact MIT instrument is described, including the design aspects and system performance characterisation, assessing dynamic range and signal quality. The image rendering ability is assessed using both external and internal object inclusions. A multi-frequency MIT system has similar capabilities as transient based pulsed eddy current instruments. The forward model for frequency swap multi-frequency is solved, using a computationally efficient numerical modelling with the edge-based finite elements method. The image reconstruction for spectral imaging is done by adaptation of a spectrally correlative base algorithm, providing whole spectrum data for the conductivity or permeability. MDPI 2021-05-25 /pmc/articles/PMC8199193/ /pubmed/34070503 http://dx.doi.org/10.3390/s21113671 Text en © 2021 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 Dingley, Gavin Soleimani, Manuchehr Multi-Frequency Magnetic Induction Tomography System and Algorithm for Imaging Metallic Objects |
title | Multi-Frequency Magnetic Induction Tomography System and Algorithm for Imaging Metallic Objects |
title_full | Multi-Frequency Magnetic Induction Tomography System and Algorithm for Imaging Metallic Objects |
title_fullStr | Multi-Frequency Magnetic Induction Tomography System and Algorithm for Imaging Metallic Objects |
title_full_unstemmed | Multi-Frequency Magnetic Induction Tomography System and Algorithm for Imaging Metallic Objects |
title_short | Multi-Frequency Magnetic Induction Tomography System and Algorithm for Imaging Metallic Objects |
title_sort | multi-frequency magnetic induction tomography system and algorithm for imaging metallic objects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199193/ https://www.ncbi.nlm.nih.gov/pubmed/34070503 http://dx.doi.org/10.3390/s21113671 |
work_keys_str_mv | AT dingleygavin multifrequencymagneticinductiontomographysystemandalgorithmforimagingmetallicobjects AT soleimanimanuchehr multifrequencymagneticinductiontomographysystemandalgorithmforimagingmetallicobjects |