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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Poelman, Gaétan
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2023Automated woven background removal for enhanced infrared thermographic inspection of fabric composites
- 2022Broadband nonlinear elastic wave modulation spectroscopy for damage detection in compositescitations
- 2022Phase inversion in (vibro-)thermal wave imaging of materials: Extracting the AC component and filtering nonlinearitycitations
- 2021Phase inversion for accurate extraction of the harmonic thermal response in active infrared thermographic NDT
- 2021Broadband nonlinear elastic wave modulation spectroscopy for damage detection in composites
- 2021On the application of an optimized frequency-phase modulated waveform for enhanced infrared thermal wave radar imaging of compositescitations
- 2021Vibro-Thermal Wave Radar: Application of Barker Coded Amplitude Modulation for Enhanced Low-Power Vibrothermographic Inspection of Compositescitations
- 2020An experimental study on the defect detectability of time- and frequency-domain analyses for flash thermographycitations
- 2020Adaptive spectral band integration in flash thermography : enhanced defect detectability and quantification in compositescitations
- 2020A robust multi-scale gapped smoothing algorithm for baseline-free damage mapping from raw thermal images in flash thermography
- 2020Multi-scale gapped smoothing algorithm for robust baseline-free damage detection in optical infrared thermographycitations
- 2020Nonlinear Elastic Wave Energy Imaging for the Detection and Localization of In-Sight and Out-of-Sight Defects in Compositescitations
- 2020Probing the limits of full-field linear local defect resonance identification for deep defect detectioncitations
- 2020Vibrothermographic spectroscopy with thermal latency compensation for effective identification of local defect resonance frequencies of a CFRP with BVIDcitations
- 2019In-plane local defect resonances for efficient vibrothermography of impacted carbon fiber reinforced plastics (CFRP)citations
- 2019Performance of frequency and/or phase modulated excitation waveforms for optical infrared thermography of CFRPs through thermal wave radar : a simulation studycitations
- 2019Efficient automated extraction of local defect resonance parameters in fiber reinforced polymers using data compression and iterative amplitude thresholdingcitations
- 2019Sweep vibrothermography and thermal response derivative spectroscopy for identification of local defect resonance frequencies of impacted CFRPcitations
- 2018Optical infrared thermography of CFRP with artificial defects : performance of various post-processing techniquescitations
- 2018Automated extraction of local defect resonance for efficient non-destructive testing of composites
Places of action
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article
Adaptive spectral band integration in flash thermography : enhanced defect detectability and quantification in composites
Abstract
In flash thermography, the maximum inspectable defect depth is limited when only the raw thermographic sequence is analyzed. The introduction of pulsed phase thermography (PPT), in which phase (contrast) images at different thermal wave frequencies are obtained, significantly improved the maximum inspectable depth while reducing the effects of non-uniform heating and non-uniform surface properties. However, in a practical environment, the evaluation of many phase images per inspection is a cumbersome procedure.In this paper, a novel Adaptive Spectral Band Integration (ASBI) procedure is introduced for the post-processing of flash thermographic datasets, which yields a unique damage index map. ASBI integrates the most useful spectral information for each pixel individually, obtaining a maximized defect detectability and an almost zero-reference level. The performance of ASBI with respect to defect detectability as well as defect sizing and depth inversion is evaluated thoroughly with both experimentally and numerically generated datasets. The ASBI procedure is successfully applied on various composite coupons with flat bottom holes and barely visible impact damage, as well as on a stiffened aircraft composite panel with a complex cluster of production defects. The ASBI procedure is compared with existing data-processing techniques in literature, illustrating an enhanced performance.