[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 …

Assessment of performance and challenges in use of commercial automated sorting technology for plastic waste

C Lubongo, P Alexandridis - Recycling, 2022 - mdpi.com
Recycling plastic is an important step towards a circular economy. Attaining high-quality
recycled plastics requires the separation of plastic waste by type, color, and size prior to …

Selective depolymerization of PET to monomers from its waste blends and composites at ambient temperature

S Zhang, W Xu, R Du, W An, X Liu, S Xu… - Chemical Engineering …, 2023 - Elsevier
Recycling of polyethylene terephthalate (PET), one of the largest varieties of synthetic
polymers and the primary textile feedstock, presents a significant challenge when waste PET …

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 …

[HTML][HTML] Near-infrared-based determination of mass-based material flow compositions in mechanical recycling of post-consumer plastics: Technical feasibility enables …

N Kroell, X Chen, B Küppers, J Lorenzo… - Resources …, 2023 - Elsevier
Mass-based material flow compositions (MFCOs) are crucial to assess and optimize
mechanical plastic recycling processes. While MFCOs are determined by manual sorting …

[HTML][HTML] Revolutionizing construction and demolition waste sorting: Insights from artificial intelligence and robotic applications

S Dodampegama, L Hou, E Asadi, G Zhang… - Resources …, 2024 - Elsevier
The growing environmental concerns have emerged the necessity of sustainable waste
management of construction and demolition (C&D) wastes. This review explores the …

[HTML][HTML] Recent developments in technology for sorting plastic for recycling: The emergence of artificial intelligence and the rise of the robots

C Lubongo, MAA Bin Daej, P Alexandridis - Recycling, 2024 - mdpi.com
Plastics recycling is an important component of the circular economy. In mechanical
recycling, the recovery of high-quality plastics for subsequent reprocessing requires plastic …

[HTML][HTML] Mechanisms of aortic dissection: from pathological changes to experimental and in silico models

M Rolf-Pissarczyk, R Schussnig, TP Fries… - Progress in Materials …, 2024 - Elsevier
Aortic dissection continues to be responsible for significant morbidity and mortality, although
recent advances in medical data assimilation and in experimental and in silico models have …

[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 …