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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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Groves, Roger
Delft University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (29/29 displayed)
- 2024Shearography With Thermal Loading For Defect Detection Of Small Defects In Cfrp Composites
- 2024Towards hydrogen fueled aircraft
- 2024Advancing Hydrogen Sensing for Sustainable Aviationcitations
- 2023Towards safe shearography inspection of thick composites with controlled surface temperature heatingcitations
- 2022Shearography non-destructive testing of thick GFRP laminatescitations
- 2022Shearography non-destructive testing of a composite ship hull section subjected to multiple impacts
- 2021Optical Material Characterisation of Prepreg CFRP for Improved Composite Inspectioncitations
- 2021Spatially modulated thermal excitations for shearography non-destructive inspection of thick compositescitations
- 2021Modeling and imaging of ultrasonic array inspection of side drilled holes in layered anisotropic mediacitations
- 2020Simulation of ultrasonic beam propagation from phased arrays in anisotropic media using linearly phased multi-Gaussian beamscitations
- 2020A gaussian beam based recursive stiffness matrix model to simulate ultrasonic array signals from multi-layered mediacitations
- 2020Simultaneous temperature-strain measurement in a thin composite panel with embedded tilted Fibre Bragg Grating sensors (PPT)
- 2020Algorithm assessment for layup defect segmentation from laser line scan sensor based image datacitations
- 2019Systematic multiparameter design methodology for an ultrasonic health monitoring system for full-scale composite aircraft primary structurescitations
- 2018Experimental assessment of the influence of welding process parameters on Lamb wave transmission across ultrasonically welded thermoplastic composite jointscitations
- 2018Incorporating Inductive Bias into Deep Learning
- 2018Non-Destructive Testing for Detection, Localization and Quantification of Damage on Composite Structures for Composite Repair Applications
- 2018Full-scale testing of an ultrasonic guided wave based structural health monitoring system for a thermoplastic composite aircraft primary structure
- 2018EXTREME shearographycitations
- 20183.12 Inspection and Monitoring of Composite Aircraft Structurescitations
- 2017Online preventive non-destructive evaluation for automated fibre placement
- 2017Modelling of ultrasonic beam propagation from an array through transversely isotropic fibre reinforced composites using Multi Gaussian beams
- 2017Epoxy-hBN nanocompositescitations
- 2017Advanced signal processing techniques for fibre-optic structural health monitoring
- 2016Online Preventative Non-Destructive Evaluation in Automated Fibre Placement
- 2016Thermal strains in heated Fiber Metal Laminates
- 2016Monitoring chemical degradation of thermally cycled glass-fibre composites using hyperspectral imagingcitations
- 2016Experimental characterisation of Lamb wave propagation through thermoplastic composite ultrasonic welds
- 2016Perspectives on Structural Health Monitoring of Composite Civil Aircraft
Places of action
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conferencepaper
Non-Destructive Testing for Detection, Localization and Quantification of Damage on Composite Structures for Composite Repair Applications
Abstract
Composite materials are being widely used for manufacturing aircraft components due to their superior material properties such as high strength, light weight, corrosion resistance, etc. However, compared to isotropic materials, composite materials exhibit complex damage characteristics. Moreover, when the composite material is impacted by a foreign object they are prone to barely visible impact damages such as delamination, matrix cracking, etc. Since composite materials are being increasingly used in aircraft component production the likelihood of composite damage occurrence during aircraft operation increases as well. Therefore, it is crucial to address the challenges associated with detecting composite damage and performing composite repairs. The focus of this research is the development of automated depot repair technology for composite structures, which combines; non-destructive testing (NDT) for damage size determination, damage removal by milling, repair by adhesive bonding of a repair patch and NDT for post repair assessment. In this study, a damaged curved CFRP panel with dimensions of 1.3 × 1.3 m was used for the development of algorithms for automated composite repair process. NDT using a laser line scanner was performed to acquire the composite panel’s surface data, to assess features of the panel such as its shape, visible damage, etc., and the thermographic inspection was done to assess the extent and location of internal damage. Algorithms were developed to perform data fusion of the sensor data; a) to detect, localize, quantify and visualize the damage on the composite panel, through analysis of gradient changes between defined local sections of the panel, b) to generate a 3D model of the repair region based on the surface geometry and with design considerations that ensures the optimal structural integrity of the repaired panel, and c) to output suitable computer-aided design (CAD) files which can be imported to the milling tool, to perform the damage removal, and the CAD tool, to fabricate the repair patch. Finally, after the composite panel undergoes the milling and repair process, NDT inspections will be performed to ensure its safety and integrity.