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Defect detection and evaluation of ultrasonic infrared thermography for aerospace CFRP composites |
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| Institution: | 1. Dipartimento Meccanica, Matematica e Management, Politecnico di Bari, Viale Japigia 182, 70126 Bari, Italy;2. IMAST S.c.a.r.l., Piazza Bovio 22, 80133 Napoli, Italy;1. Department of Civil and Architectural Engineering, Changsha University, Changsha 410003, PR China;2. College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, PR China;1. School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, 611731, China;2. School of Electrical and Electronic Engineering, Newcastle University, Newcastle Upon Tyne, NE1 7UR, UK;3. Materials and Structures (MAST) Centre, Department of Mechanical Engineering, University of Bath, Bath, BA2 7AY, UK;1. Department of Industrial Engineering - Aerospace Division, University of Naples Federico II, Naples, Italy;2. CRdC Tecnologie s.c.r.l., Naples, Italy;3. Institute for Polymers, Composites and Biomaterials, National Council of Research, Pozzuoli (Na), Italy |
| Abstract: | The ultrasonic infrared thermography Non-destructive Testing is introduced for detecting the impact damage of a CFRP specimen for Unmanned Aerial Vehicles. The characteristics of thermal images with damage are particularly analyzed. A Local Binary Fitting (LBF) model based on a non-Gaussian kernel function is used to segment the defect edge. In view of the discontinuity of defect in thermal images due to multilayered structure of composite materials, defect merging algorithms are proposed including time domain and space domain methods by using a few thermal images, and the defect geometric distortion during camera imaging is also compensated. The defect in the composite material can be quantitatively analyzed after the defect reconstruction. The experimental result has shown that the proposed algorithm can effectively detect and evaluate the impact damage of thermal images and the accuracy of quantitative assessment is correspondingly increased. |
| Keywords: | Carbon Fiber Reinforced Polymer (CFRP) Ultrasonic infrared thermography Non-destructive Testing (NDT) Defect detection and merging Quantitative analysis |
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