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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
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article
Vibrothermographic spectroscopy with thermal latency compensation for effective identification of local defect resonance frequencies of a CFRP with BVID
Abstract
Vibrothermography using sinusoidal vibration excitation at the resonance frequencies of a defected area (so-called local defect resonance, or LDR) is a promising technique to boost the defect's deformation and its interfacial interactions and as such enhance resultant vibration-induced heating. Contrary to the classical high-power vibrothermography, low power excitation at an LDR frequency results in a reproducible thermal response and adequate quantification of the corresponding damage features. However, the technique is mainly limited by the fact that it requires a priori knowledge of the LDR frequencies (e.g. obtained from prior vibrational measurements). To overcome this limitation, a stand-alone vibrothermographic spectroscopy procedure is introduced in this paper. The proposed technique applies two consecutive broadband sweep vibrational excitations with ascending and descending frequency modulation rates to the sample. The surface of the excited sample is monitored with an IR camera. Both time derivative analysis and superposition of the recorded thermal responses are performed in order to compensate for the thermal latency of the defect-induced heating. This compensation approach enables proper identification of the actual LDR frequencies based on the apparent LDR frequencies of the thermal response. The method is applied on a carbon fiber reinforced polymer (CFRP) with barely visible impact damage (BVID), and multiple LDR frequencies are readily identified. The identified LDR frequencies are also individually evaluated by both lock-in vibrothermography and 3D scanning laser Doppler vibrometry, confirming the competence of the proposed technique for extracting LDR frequencies in a proper and fast way.