[HTML][HTML] Optical sensors and machine learning algorithms in sensor-based material flow characterization for mechanical recycling processes: A systematic literature …

N Kroell, X Chen, K Greiff, A Feil - Waste Management, 2022 - Elsevier
Digital technologies hold enormous potential for improving the performance of future-
generation sorting and processing plants; however, this potential remains largely untapped …

[HTML][HTML] Quality of recycling: Urgent and undefined

D Tonini, PF Albizzati, D Caro, S De Meester… - Waste Management, 2022 - Elsevier
Quality of recycling is a concept used by many authors in the scientific literature and the EU
legislator. However, a clear definition of what is intended for quality of recycling and a …

Development and application of a predictive modelling approach for household packaging waste flows in sorting facilities

K Kleinhans, M Hallemans, S Huysveld… - Waste Management, 2021 - Elsevier
Household packaging waste sorting facilities consist of complex networks of processes to
separate diverse waste streams. These facilities are a key first step to re-enter materials into …

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 …

[HTML][HTML] Towards digital twins of waste sorting plants: Developing data-driven process models of industrial-scale sensor-based sorting units by combining machine …

N Kroell, A Maghmoumi, T Dietl, X Chen… - Resources …, 2024 - Elsevier
Sorting plants are crucial for effective recycling, but their optimization can be challenging
due to the heterogeneity of waste streams. We introduce a novel approach to holistically …

[HTML][HTML] Near-infrared-based quality control of plastic pre-concentrates in lightweight-packaging waste sorting plants

N Kroell, X Chen, B Küppers, S Schlögl, A Feil… - Resources …, 2024 - Elsevier
Today's post-consumer plastic recycling is limited by labor-intensive manual quality control
(MQC) procedures, resulting in largely unknown pre-concentrate purities. Sensor-based …

A survey of the state of the art in sensor-based sorting technology and research

G Maier, R Gruna, T Längle, J Beyerer - IEEE Access, 2024 - ieeexplore.ieee.org
Sensor-based sorting describes a family of systems that enable the removal of individual
objects from a material stream. The technology is widely used in various industries such as …

Developing a prediction model in a lightweight packaging waste sorting plant using sensor-based sorting data combined with data of external near-infrared and …

S Schloegl, J Kamleitner, N Kroell… - Waste management …, 2024 - journals.sagepub.com
Sensor-based material flow monitoring allows for continuously high output qualities, through
quality management and process control. The implementation in the waste management …

[HTML][HTML] Qualitative analysis of post-consumer and post-industrial waste via near-infrared, visual and induction identification with experimental sensor-based sorting …

K Friedrich, G Koinig, R Pomberger, D Vollprecht - MethodsX, 2022 - Elsevier
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 …

The EU training network for resource recovery through enhanced landfill mining—a review

D Vollprecht, L Machiels, PT Jones - Processes, 2021 - mdpi.com
The “European Union Training Network for Resource Recovery Through Enhanced Landfill
Mining (NEW-MINE)” was a European research project conducted between 2016 and 2020 …