Automatic Detection of Defects Using Active Thermography
The increase in composite material waste from the aviation and wind energy sectors will become a significant environmental challenge in the near future. This escalation is attributed to the enhanced use of new, advanced composite materials, such as Glass Fiber Reinforced Polymer (GFRP). Despite thei...
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MDPI AG
2025-03-01
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| author | Miguel Gómez David Castro |
| author_facet | Miguel Gómez David Castro |
| author_sort | Miguel Gómez |
| collection | DOAJ |
| description | The increase in composite material waste from the aviation and wind energy sectors will become a significant environmental challenge in the near future. This escalation is attributed to the enhanced use of new, advanced composite materials, such as Glass Fiber Reinforced Polymer (GFRP). Despite their benefits, the disposal of these materials at their end-of-life poses considerable environmental and logistical challenges. Assessing the condition of these materials is thus pivotal to develop sustainable strategies for their recycling, reusing, or repurposing. This study investigates the use of Non-Destructive Testing (NDT) techniques, with a focus on Active Thermography, to evaluate GFRP components’ suitability for sustainable management without compromising the material integrity. This research highlights the use of Active Thermography for extensive, non-invasive inspections, due to its capability to inspect a large area quickly using external energy heating. It delves into Pulse Phase Thermography (PPT) and Principal Component Thermography (PCT), two advanced signal post-processing techniques, tested on GFRP materials with purposefully induced defects. Finally, an automated method based on the Signal-to-Noise Ratio (SNR) value is implemented for defect detection, with which defects of a 5 mm diameter and a 3 mm depth can be detected. The document elaborates on the theoretical principle of NDT, PPT, and PCT, details the experimental methodology and specimens, and analyzes the outcomes of employing these techniques, drawing comparisons between them. |
| format | Article |
| id | doaj-art-2b1bf91c4eec401b93eddfac49d519d2 |
| institution | Kabale University |
| issn | 2673-4591 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-2b1bf91c4eec401b93eddfac49d519d22025-08-20T03:24:33ZengMDPI AGEngineering Proceedings2673-45912025-03-019012910.3390/engproc2025090029Automatic Detection of Defects Using Active ThermographyMiguel Gómez0David Castro1AIMEN Technology Center, Laser Applications Centre, 36418 O Porriño, SpainAIMEN Technology Center, Laser Applications Centre, 36418 O Porriño, SpainThe increase in composite material waste from the aviation and wind energy sectors will become a significant environmental challenge in the near future. This escalation is attributed to the enhanced use of new, advanced composite materials, such as Glass Fiber Reinforced Polymer (GFRP). Despite their benefits, the disposal of these materials at their end-of-life poses considerable environmental and logistical challenges. Assessing the condition of these materials is thus pivotal to develop sustainable strategies for their recycling, reusing, or repurposing. This study investigates the use of Non-Destructive Testing (NDT) techniques, with a focus on Active Thermography, to evaluate GFRP components’ suitability for sustainable management without compromising the material integrity. This research highlights the use of Active Thermography for extensive, non-invasive inspections, due to its capability to inspect a large area quickly using external energy heating. It delves into Pulse Phase Thermography (PPT) and Principal Component Thermography (PCT), two advanced signal post-processing techniques, tested on GFRP materials with purposefully induced defects. Finally, an automated method based on the Signal-to-Noise Ratio (SNR) value is implemented for defect detection, with which defects of a 5 mm diameter and a 3 mm depth can be detected. The document elaborates on the theoretical principle of NDT, PPT, and PCT, details the experimental methodology and specimens, and analyzes the outcomes of employing these techniques, drawing comparisons between them.https://www.mdpi.com/2673-4591/90/1/29non-destructive testingactive thermographyprincipal component thermographysignal-to-noise ratio |
| spellingShingle | Miguel Gómez David Castro Automatic Detection of Defects Using Active Thermography Engineering Proceedings non-destructive testing active thermography principal component thermography signal-to-noise ratio |
| title | Automatic Detection of Defects Using Active Thermography |
| title_full | Automatic Detection of Defects Using Active Thermography |
| title_fullStr | Automatic Detection of Defects Using Active Thermography |
| title_full_unstemmed | Automatic Detection of Defects Using Active Thermography |
| title_short | Automatic Detection of Defects Using Active Thermography |
| title_sort | automatic detection of defects using active thermography |
| topic | non-destructive testing active thermography principal component thermography signal-to-noise ratio |
| url | https://www.mdpi.com/2673-4591/90/1/29 |
| work_keys_str_mv | AT miguelgomez automaticdetectionofdefectsusingactivethermography AT davidcastro automaticdetectionofdefectsusingactivethermography |