| People | Locations | Statistics |
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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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Segers, Joost
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (30/30 displayed)
- 2022Broadband nonlinear elastic wave modulation spectroscopy for damage detection in compositescitations
- 2022Self-reference broadband local wavenumber estimation (SRB-LWE) for defect assessment in compositescitations
- 2022Phase inversion in (vibro-)thermal wave imaging of materials: Extracting the AC component and filtering nonlinearitycitations
- 2022FLASH INFRARED THERMOGRAPHY Efficient Detection of Production Defects in A CFRP Aircraft Component by Means of Flash Infrared Thermography
- 2021Robust and baseline-free full-field defect detection in complex composite parts through weighted broadband energy mapping of mode-removed guided wavescitations
- 2021Modeling detrimental effects of high surface roughness on the fatigue behavior of additively manufactured Ti-6Al-4V alloyscitations
- 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
- 2021Nonlinear local wave-direction estimation for in-sight and out-of-sight damage localization in composite platescitations
- 2021Experimental comparison of various excitation and acquisition techniques for modal analysis of violinscitations
- 2021Full-field elastic wave imaging and processing for non-destructive inspection of fiber-reinforced polymers
- 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
- 2020Vibro-Thermal Wave Radar: Application of Barker coded amplitude modulation for enhanced low-power vibrothermographic inspection of composites
- 2020Backside delamination detection in composites through local defect resonance induced nonlinear source behaviorcitations
- 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
- 2019Novel discrete frequency-phase modulated excitation waveform for enhanced depth resolvability of thermal wave radarcitations
- 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
- 2018Non-destructive testing of composites by ultrasound, local defect resonance and thermographycitations
- 2018Towards in-plane local defect resonance for non-destructive testing of polymers and compositescitations
Places of action
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article
Phase inversion in (vibro-)thermal wave imaging of materials: Extracting the AC component and filtering nonlinearity
Abstract
In active infrared thermographic inspection of materials, heat wave is stimulated by activation of heat sources, e.g., through optical heat radiation or vibration-induced heat dissipation. Therefore, the monopolar (i.e., heating only) nature of excitation introduces an inevitable ascending trend in the measured thermal response. To obtain an improved thermal wave imaging quality, it is crucial to remove this ascending trend and to analyze the decoupled bipolar (i.e., AC) component of the thermal response. This study introduces the concept of phase inversion in thermographic inspection, as a deterministic method for (i) decoupling the AC component and (ii) filtering the prominent second-order nonlinearities from the thermal response. First, this "phase inversion thermography (PIT)" is theoretically substantiated by analysis of heat diffusion through the thickness of a solid material subjected to dissipative boundary conditions. Then, the performance of PIT in accurately decoupling the AC response from various excitation waveforms is verified by finite element simulation of optical infrared thermography on an anisotropic composite coupon. It is shown that by proper selection of the signal's initial phase and waveform duration, PIT yields the AC response with a zero-mean amplitude. At last, the experimental applicability of PIT is evaluated for two different test cases: (1) optical thermography on a backside-stiffened carbon fiber-reinforced polymer (CFRP) aircraft panel with a complex cluster of production defects and (2) low-power vibrothermography on an impacted CFRP coupon. It is shown that PIT, as a physics-based signal processing technique, robustly resolves the strongly transient onset of the excitation and systematically decouples an AC response which is equivalent to the thermal response to an ideally linear and bipolar excitation. The recorded thermal responses are post-processed through Fourier transform, and the enhanced thermal imaging quality and improved defect detectability of the decoupled AC component are demonstrated.