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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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Gan, Tat Hean
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Topics
Publications (9/9 displayed)
- 2017A case study of image data processing in automated ultrasonic testing based aerospace composites inspection
- 2016Inspection and Structural Health Monitoring techniques for Concentrated Solar Power plantscitations
- 2015Developing a Novel Ice Protection System for Wind Turbine Blades Using Vibrations of Both Short and Long Wavelengthscitations
- 2014Development of an ultrasonic NDT system for automated in-situ inspection of wind turbine blades
- 2014Enable the powder metallurgy process to expand to new markets with more reliable parts and lower manufacturing costs through the inspection of green parts
- 2014Development of an automated digital radiography system for the non-destructive inspection of green powder metallurgy parts
- 2013PM parts fast in-line x-ray digital radiography
- 2012Preliminary NDT investigation of sintered Powder Metallurgy parts by high-resolution TDI based X-ray digital radiography
- 2012Development of a digital radiographic inspection technique for production friendly quality assessment of powder metallurgy parts
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document
A case study of image data processing in automated ultrasonic testing based aerospace composites inspection
Abstract
Composite materials have gained increasingly wide use in many sectors such as aerospace and wind turbine systems, due to inherent physical and structural qualities that are not readily achievable with traditional materials. Inspecting material integrity is mandatory for safety and effective performance and ultrasonic testing has been recognised as an effective non-destructive technique for detecting internal defects in many different materials, including composites. The InnovateUK funded AutoDISC project is investigating automated ultrasonic inspection of aerospace composites with enhanced defect detection, aided by gantry-deployed robotic tools. This paper presents details of the robotic sensors and associated signal and image data processing of aerospace structures such as aircraft wings and fuselages. A robust robotic system has been developed to accurately deploy sensors that are able to react to a structure's varying surface height and curvature. The autonomy of the scanning system is being explored to allow specific features identified as important to be followed in the inspection process. A curved glass fibre reinforced polymer (GFRP) sample with simulated defects is inspected by the automated system. Analysis of experimental results shows that the simulated defects can be identified with a proper combination of techniques, including local gating, Gaussian low-pass filter, thresholding and morphological filter. On this basis, an interactive graphical user interface (GUI) is designed to aid analysis of the large three-dimensional data set and to determine processing parameters, such as gating window, threshold method and filter parameters, for subsequent automated defect recognition.