[HTML][HTML] Optical sensors and machine learning algorithms in sensor-based material flow characterization for mechanical recycling processes: A systematic literature …
Digital technologies hold enormous potential for improving the performance of future-
generation sorting and processing plants; however, this potential remains largely untapped …
generation sorting and processing plants; however, this potential remains largely untapped …
Sensor-based particle mass prediction of lightweight packaging waste using machine learning algorithms
N Kroell, X Chen, A Maghmoumi, M Koenig, A Feil… - Waste management, 2021 - Elsevier
Sensor-based material flow characterization (SBMC) promises to improve the performance
of future-generation sorting plants by enabling new applications like automatic quality …
of future-generation sorting plants by enabling new applications like automatic quality …
[PDF][PDF] Relevance and challenges of plant control in the pre-processing stage for enhanced sorting performance
To increase recycling rates many technological improvements can be made within sorting
(processing and sorting on article basis) and recycling (processing and sorting on particle …
(processing and sorting on article basis) and recycling (processing and sorting on particle …
[HTML][HTML] Sensor-based particle size determination of shredded mixed commercial waste based on two-dimensional images
To optimize output streams in mechanical waste treatment plants dynamic particle size
control is a promising approach. In addition to relevant actuators–such as an adjustable …
control is a promising approach. In addition to relevant actuators–such as an adjustable …
[HTML][HTML] Efficient derivation of significant results from mechanical processing experiments with mixed solid waste: Coarse-shredding of commercial waste
Deriving significant experiment-based conclusions on mechanical processing of mixed solid
waste is challenging: the input material cannot be downscaled in a way that enables …
waste is challenging: the input material cannot be downscaled in a way that enables …
[PDF][PDF] VORTRÄGE-Konferenzband zur 16. Recy & DepoTech-Konferenz 9.-11. November 2022 Montanuniversität Leoben, Österreich
R Pomberger, J Adam, M Altendorfer… - 2022 - ibe.at
Bei der der Herstellung von Dämmstoffprodukten aus Mineralwolle entstehen im
störungsfreien Betrieb beachtliche 15-25% Abfälle, bezogen auf die eingesetzten …
störungsfreien Betrieb beachtliche 15-25% Abfälle, bezogen auf die eingesetzten …
Großtechnische experimentelle Forschung im Digital Waste Research Lab und Digitale Abfallanalytik und-behandlung
L Kandlbauer, R Sarc, R Pomberger - Österreichische Wasser-und …, 2024 - Springer
Zusammenfassung Mit dem Digital Waste Research Lab konnte eine neue
Forschungsinfrastruktur in Betrieb genommen werden. Die innovative Versuchsanlage für …
Forschungsinfrastruktur in Betrieb genommen werden. Die innovative Versuchsanlage für …
[PDF][PDF] 9th Sensor-Based Sorting & Control 2022
A Feil, N Kroell, X Chen, D Gürsel, V Merz - backoffice.biblio.ugent.be
A key task for us and future generations will be to use finite resources more mindfully and
sustainably. Both in mining and recycling, it is equally important that the e ႈ ciencies of …
sustainably. Both in mining and recycling, it is equally important that the e ႈ ciencies of …