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Developing a prediction model in a lightweight packaging waste sorting plant using sensor-based sorting data combined with data of external near-infrared and LiDAR sensors
Sensor-based material flow monitoring allows for continuously high output qualities, through quality management and process control. …
Schloegl, Sabine, Kamleitner, Josef, Kroell, Nils, Chen, Xiaozheng, Vollprecht, Daniel, Tischberger-Aldrian, Alexia
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Developing a prediction model in a lightweight packaging waste sorting plant using sensor-based sorting data combined with data of external near-infrared and LiDAR sensors
Near-infrared-based sortability of polyester-containing textile waste
Through textile recycling, resources can be saved, and landfilling can be avoided. However, determined input streams are needed for …
Becker, Amrei, Datko, Annika, Kroell, Nils, Küppers, Bastian, Greiff, Kathrin, Gries, Thomas
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Near-infrared-based sortability of polyester-containing textile waste
Influence of plastic packaging design on the sensor-based sortability in lightweight packaging waste sorting plants
Lightweight packaging (LWP) waste is the largest post-consumer plastic waste flow in Germany. A crucial step in plastic recycling is …
Jakobs, Michelle, Kroell, Nils
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Influence of plastic packaging design on the sensor-based sortability in lightweight packaging waste sorting plants
Deep learning-based instance segmentation on 3D laser triangulation data for inline monitoring of particle size distributions in construction and demolition waste recycling
Wu, Xiaoye, Kroell, Nils, Greiff, Kathrin
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Deep learning-based instance segmentation on 3D laser triangulation data for inline monitoring of particle size distributions in construction and demolition waste recycling
Near-infrared-based quality control of plastic pre-concentrates in lightweight-packaging waste sorting plants
Today’s post-consumer plastic recycling is limited by labor-intensive manual quality control (MQC) procedures, resulting in …
Kroell, Nils, Chen, Xiaozheng, Küppers, Bastian, Schlögl, Sabine, Feil, Alexander, Greiff, Kathrin
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Near-infrared-based quality control of plastic pre-concentrates in lightweight-packaging waste sorting plants
Towards digital twins of waste sorting plants: Developing data-driven process models of industrial-scale sensor-based sorting units by combining machine learning with near-infrared-based process monitoring
Sorting plants are crucial for effective recycling, but their optimization can be challenging due to the heterogeneity of waste …
Kroell, Nils, Maghmoumi, Abtin, Dietl, Tobias, Chen, Xiaozheng, Küppers, Bastian, Scherling, Tabea, Feil, Alexander, Greiff, Kathrin
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Towards digital twins of waste sorting plants: Developing data-driven process models of industrial-scale sensor-based sorting units by combining machine learning with near-infrared-based process monitoring
NIR-MFCO dataset: Near-infrared-based false-color images of post-consumer plastics at different material flow compositions and material flow presentations
Determining mass-based material flow compositions (MFCOs) is crucial for assessing and optimizing the recycling of post-consumer …
Kroell, Nils, Chen, Xiaozheng, Maghmoumi, Abtin, Lorenzo, Julius, Schlaak, Matthias, Nordmann, Christian, Küppers, Bastian, Thor, Eric, Greiff, Kathrin
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NIR-MFCO dataset: Near-infrared-based false-color images of post-consumer plastics at different material flow compositions and material flow presentations
Improving drum sieve performance in lightweight packaging waste recycling by automatic parameter adjustment through 3D laser triangulation-based process monitoring
Current lightweight packaging (LWP) sorting plants are underperforming, and one of the most important reasons is the fluctuation in LWP …
Chen, Xiaozheng, Kroell, Nils, Hofmann, Benedikt, Schlögl, Sabine, Greiff, Kathrin
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Improving drum sieve performance in lightweight packaging waste recycling by automatic parameter adjustment through 3D laser triangulation-based process monitoring
Enabling mechanical recycling of plastic bottles with shrink sleeves through near-infrared spectroscopy and machine learning algorithms
Shrink sleeves interfere with the mechanical recycling of plastic bottles because of their poor sortability during near-infrared …
Chen, Xiaozheng, Kroell, Nils, Althaus, Malte, Pretz, Thomas, Pomberger, Roland, Greiff, Kathrin
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Enabling mechanical recycling of plastic bottles with shrink sleeves through near-infrared spectroscopy and machine learning algorithms
Optical sensors and machine learning algorithms in sensor-based material flow characterization for mechanical recycling processes: A systematic literature review
Digital technologies hold enormous potential for improving the performance of future-generation sorting and processing plants; however, …
Kroell, Nils, Chen, Xiaozheng, Greiff, Kathrin, Feil, Alexander
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Optical sensors and machine learning algorithms in sensor-based material flow characterization for mechanical recycling processes: A systematic literature review