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Probe Standoff Optimization Method for Phased Array Ultrasonic TFM Imaging of Curved Parts
The reliability of the ultrasonic phased array total focusing method (TFM) imaging of parts with curved geometries depends on many factors, one being the probe standoff. Strong artifacts and resolution loss are introduced by some surface profile and standoff combinations, making it impossible to ide...
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/PMC8512873/ https://www.ncbi.nlm.nih.gov/pubmed/34640983 http://dx.doi.org/10.3390/s21196665 |
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author | Mansur Rodrigues Filho, Jorge Franklin Bélanger, Pierre |
author_facet | Mansur Rodrigues Filho, Jorge Franklin Bélanger, Pierre |
author_sort | Mansur Rodrigues Filho, Jorge Franklin |
collection | PubMed |
description | The reliability of the ultrasonic phased array total focusing method (TFM) imaging of parts with curved geometries depends on many factors, one being the probe standoff. Strong artifacts and resolution loss are introduced by some surface profile and standoff combinations, making it impossible to identify defects. This paper, therefore, introduces a probe standoff optimization method (PSOM) to mitigate such effects. Based on a point spread function analysis, the PSOM algorithm finds the standoff with the lowest main lobe width and side lobe level values. Validation experiments were conducted and the TFM imaging performance compared with the PSOM predictions. The experiments consisted of the inspection of concave and convex parts with amplitudes of 0, 5 and 15 λ(Al), at 12 standoffs varying from 20 to 130 mm. Three internal side-drilled holes at different depths were used as targets. To investigate how the optimal probe standoff improves the TFM, two metrics were used: the signal-to-artifact ratio (SAR) and the array performance indicator (API). The PSF characteristics predicted by the PSOM agreed with the quality of TFM images. A considerable TFM improvement was demonstrated at the optimal standoff calculated by the PSOM. The API of a convex specimen’s TFM was minimized, and the SAR gained up to 13 dB, while the image of a concave specimen gained up to 33 dB in SAR. |
format | Online Article Text |
id | pubmed-8512873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85128732021-10-14 Probe Standoff Optimization Method for Phased Array Ultrasonic TFM Imaging of Curved Parts Mansur Rodrigues Filho, Jorge Franklin Bélanger, Pierre Sensors (Basel) Article The reliability of the ultrasonic phased array total focusing method (TFM) imaging of parts with curved geometries depends on many factors, one being the probe standoff. Strong artifacts and resolution loss are introduced by some surface profile and standoff combinations, making it impossible to identify defects. This paper, therefore, introduces a probe standoff optimization method (PSOM) to mitigate such effects. Based on a point spread function analysis, the PSOM algorithm finds the standoff with the lowest main lobe width and side lobe level values. Validation experiments were conducted and the TFM imaging performance compared with the PSOM predictions. The experiments consisted of the inspection of concave and convex parts with amplitudes of 0, 5 and 15 λ(Al), at 12 standoffs varying from 20 to 130 mm. Three internal side-drilled holes at different depths were used as targets. To investigate how the optimal probe standoff improves the TFM, two metrics were used: the signal-to-artifact ratio (SAR) and the array performance indicator (API). The PSF characteristics predicted by the PSOM agreed with the quality of TFM images. A considerable TFM improvement was demonstrated at the optimal standoff calculated by the PSOM. The API of a convex specimen’s TFM was minimized, and the SAR gained up to 13 dB, while the image of a concave specimen gained up to 33 dB in SAR. MDPI 2021-10-07 /pmc/articles/PMC8512873/ /pubmed/34640983 http://dx.doi.org/10.3390/s21196665 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 Mansur Rodrigues Filho, Jorge Franklin Bélanger, Pierre Probe Standoff Optimization Method for Phased Array Ultrasonic TFM Imaging of Curved Parts |
title | Probe Standoff Optimization Method for Phased Array Ultrasonic TFM Imaging of Curved Parts |
title_full | Probe Standoff Optimization Method for Phased Array Ultrasonic TFM Imaging of Curved Parts |
title_fullStr | Probe Standoff Optimization Method for Phased Array Ultrasonic TFM Imaging of Curved Parts |
title_full_unstemmed | Probe Standoff Optimization Method for Phased Array Ultrasonic TFM Imaging of Curved Parts |
title_short | Probe Standoff Optimization Method for Phased Array Ultrasonic TFM Imaging of Curved Parts |
title_sort | probe standoff optimization method for phased array ultrasonic tfm imaging of curved parts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512873/ https://www.ncbi.nlm.nih.gov/pubmed/34640983 http://dx.doi.org/10.3390/s21196665 |
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