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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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Selcuk, Cem
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 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
Development of a digital radiographic inspection technique for production friendly quality assessment of powder metallurgy parts
Abstract
<p>The target approach in this study will allow inspection of powder metallurgy (PM) parts, notably sintered, ideally in line with production to increase the quality of output batch and reduce scrap, as much as possible. An important part of the inspection system based on digital radiography will require an advanced data processing system for pattern recognition and feature characterisation. It is expected to utilise modern image processing and pattern recognition techniques such as greedy algorithm, active shape model and compare with traditional cross-correlation and distance template matching. It is anticipated that the developed quality control system will be versatile for adoption by notably the wider powder metallurgy community amongst other industry sectors, and particularly the pattern recognition capability will be useful for integration in different image processing and automation systems.</p>