[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 …

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 …

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 …

Real time material flow monitoring in mechanical waste processing and the relevance of fluctuations

A Curtis, B Küppers, S Möllnitz, K Khodier, R Sarc - Waste management, 2021 - Elsevier
To achieve the goals of the circular economy, significant improvements in non-hazardous
solid waste processing/treatment must be made. Large deficits in the digitalization of …

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 …

Influence of material alterations and machine impairment on throughput related sensor-based sorting performance

B Küppers, S Schlögl, K Friedrich… - Waste management …, 2021 - journals.sagepub.com
Experiments with sensor-based sorting (SBS) machinery provide insight into the effect of
throughput rate and input composition on the sorting performance. For this purpose, material …

Gravity Concentration in Urban Mining Applications—A Review

WM Ambrós - Recycling, 2023 - mdpi.com
Urban mining has emerged as a concept that goes beyond conventional recycling, as it aims
to tackle both the challenges of solid waste generation and management, as well as the …

[HTML][HTML] Inline classification of polymer films using Machine learning methods

G Koinig, N Kuhn, T Fink, E Grath… - Waste Management, 2024 - Elsevier
Improving the sortability of plastic packaging film waste (PPFW) is crucial for increasing the
recycling rate in Austria as they account for 150,000 t of the annually produced 300,000 t of …