| 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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Vollprecht, Daniel
University of Augsburg
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2022Evaluation of improvements in the separation of monolayer and multilayer films via measurements in transflection and application of machine learning approachescitations
- 2022Qualitative analysis of post-consumer and post-industrial waste via near-infrared, visual and induction identification with experimental sensor-based sorting setupcitations
- 2020Dense glass‐ceramics by fast sinter‐crystallization of mixtures of waste‐derived glassescitations
- 2020X-ray fluorescence sorting of non-ferrous metal fractions from municipal solid waste incineration bottom ash processing depending on particle surface propertiescitations
- 2020Recovery of Molybdenum, Chromium, Tungsten, Copper, Silver, and Zinc from Industrial Waste Waters Using Zero-Valent Iron and Tailored Beneficiation Processescitations
- 2019Quality assessment of nonferrous metals recovered from landfill mining: a case study in Belgiumcitations
- 2019QUALITY ASSESSMENT OF NONFERROUS METALS RECOVERED BY MEANS OF LANDFILL MININGcitations
- 2019RELATING MAGNETIC PROPERTIES OF MUNICIPAL SOLID WASTE CONSTITUENTS TO IRON CONTENT – IMPLICATIONS FOR ENHANCED LANDFILL MININGcitations
- 2019Potential of sensor-based sorting in enhanced landfill miningcitations
- 2019CASE STUDY ON ENHANCED LANDFILL MINING AT MONT-SAINTGUIBERT LANDFILL IN BELGIUMcitations
- 2018Recovery of Metals from Industrial Waste Waters
- 2018Potential and main technological challenges for material and energy recovery from fine fractions of landfill mining: A critical reviewcitations
- 2018Characterization of Fine Fractions from Landfill Mining: A Review of Previous Investigationscitations
Places of action
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article
Qualitative analysis of post-consumer and post-industrial waste via near-infrared, visual and induction identification with experimental sensor-based sorting setup
Abstract
Sensor-based sorting in waste management is a method to separate valuable material or contaminants from a waste stream. Depending on the separation property different types of sensors are used. Separation properties and their corresponding sensors are e.g. molecular composition with near-infrared sensors, colour with visual spectroscopy or colour line scan cameras, or electric conductivity with electromagnetic sensors. The methods described in this paper deal with the development of sorting models for a specific near-infrared, a visual spectroscopy and an induction sensor. For near-infrared and visual spectroscopy software is required to create sorting models, while for induction only machine settings have to be adjusted and optimized for a specific sorting task. These sensors are installed in the experimental sensor-based sorting setup at the Chair of Waste Processing Technology and Waste Management located at the Montanuniversitaet Leoben. This sorting stand is a special designed machine for the university to make experiments on sensor-based sorting in lab scale. It can be used for a variety of waste streams depending on the grain size and the pre-conditioning for the sensor-based sorting machine. In detail the methods to create these sorting models are described and validated with plastic, glass and metal waste. • Near-infrared spectroscopy measures the molecular composition of near-infrared-active particles. • Visual spectroscopy measures the absorption of visible light by chemical compounds. • Induction sensors use induced currents to detect nearby metal objects.