| 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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Otoole, Michael D.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2024Classification of Wrought and Cast Aluminium using Magnetic Induction Spectroscopy and Machine Vision
- 2023A review of the classification of non-ferrous metals using magnetic induction for recyclingcitations
- 2023Scrap metal classification using magnetic induction spectroscopy and machine visioncitations
- 2019Classification of Non-ferrous Scrap Metal using Two Component Magnetic Induction Spectroscopy
- 2017Classification of Non-ferrous Metals using Magnetic Induction Spectroscopycitations
- 2017Electromagnetic tensor spectroscopy for sorting of shredded metallic scrapcitations
- 2017Selective recovery of metallic scraps using electromagnetic tensor spectroscopy
- 2015Rapid Non-Contact Relative Permittivity Measurement of Fruits and Vegetables using Magnetic Induction Spectroscopycitations
Places of action
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conferencepaper
Selective recovery of metallic scraps using electromagnetic tensor spectroscopy
Abstract
Automobile use continues to show significant increase year on year, with well over 1 billion vehicles now in use globally according to OICA figures. As a result, the recycling of end-of-life vehicles (ELV) has become a major concern, with legislative ELV recycling systems in place in many countries. In the EU for instance, ELV generate approaching 10 million tonnes of waste per year and around 75% of this is currently recycled or recovered, but this percentage falls well short of the 95% target for 2015 set by the ELV European directive. Automobile shredding residue (ASR) includes heavy metals as well as a mass of unclassified fine particles. The non-ferrous metal fraction in ELV scrap contains several metals/alloys; primarily aluminium, copper and brass, whose recovery is important for environmental, economic and resource conservation reasons. The separation of non-ferrous metals from ASR scrap is technically complex and existing technologies suffer from poor cost effectiveness. This paper present a new method for sorting of non-ferritic metallic scrap using electromagnetic tensor spectroscopy. The method combines a vision system, with a novel electromagnetic array to determine the electrical conductivity of each metal piece. The pieces can then be sorted based on conductivity into metal type. Crucial to this process is a fast metal identification algorithm, which allows the line to be operated at conveyor speeds of several m/s and which linearly scales in complexity with conveyor belt width. This study reports that the metal identification algorithms perform adequately when processing machined metal test samples with a wide range of shapes, without the use of any vision information. The challenge is to cope with the diverse range pieces in terms of shape and morphology. In doing so, a A1/4-scale EMTS system has been developed to prove the principle of the technique.