Beiträge

 

Konferenzprogramm SBSC 2022

Mittwoch, 13. April 2022
Startuhrzeit Vortragende Titel
ab 9:00 Uhr - Einlass & 2G+-Check
10:00 Uhr Prof. Dr. Kathrin Greiff, RWTH Aachen University, Department of Anthropogenic Material Cycles, Germany Begrüßung
10:20 Uhr Johannes Jacoby, TOMRA Sorting GmbH, Germany Circular Economy Empowered by Data
10:40 Uhr Dr. Matthias Kerschhaggl, EVK DI Kerschhaggl GmbH, Austria From hyperspectral edge computing to offline algorithm based feedback-loops
11:00 Uhr Dr. Bastian Küppers, STADLER Anlagenbau GmbH, Germany Relevance and challenges of plant control in the pre-processing stage for enhanced sorting performance
11:20 Uhr Kaffeepause
11:45 Uhr Nils Kroell, RWTH Aachen University, Department of Anthropogenic Material Cycles, Germany Assessment of sensor-based sorting performance for lightweight packaging waste through sensor-based material flow monitoring: Concept and preliminary results
12:05 Uhr Sabine Schlögl, Montanuniversität Leoben, Chair of Waste Processing Technology and Waste Management, Austria Quantifying the Delabelling Performance using Sensor-based Material Flow Monitoring
12:25 Uhr Kerstin Kleinhans, Ghent University, Department of Green Chemistry and Technology, Belgium Challenges faced during a near-infrared-based material flow characterization study of commercial and industrial waste
12:45 Uhr Dr. Stefan Heinrichs, STEINERT GmbH, Germany Increase throughput and sorting quality with flow control
13:05 Uhr Mittagspause
14:05 Uhr Dr. Mathilde Robben, TOMRA Sorting GmbH, Germany Sensor-based sorting and the Circular Economy
14:25 Uhr Sebastian Müller, Weimar Institute of Applied Construction Research, Germany Sorting of Construction and Demolition Waste – new methods for fine and coarse fractions
14:45 Uhr Markus Dargel, LSA - Laser Analytical Systems & Automation GmbH, Germany Feasibility study for Inline-LIBS measurements at refractory materials
15:05 Uhr Kaffeepause

15:30 Uhr

Jan Ludwig, Fraunhofer IOSB, Institute of Optronics, System Technologies and Image Exploitation, Germany Systematic Determination of the Influence of Factors Relevant to Operating Costs of Sensor-based Sorting Systems
15:50 Uhr Louise Hagesjö, Swerim AB, Sweden SenSoRe: A sensor-based testbed for sorting and innovate recycling
16:10 Uhr Simon Wezstein, MSTVision GmbH, Germany Latency evaluation of an FPGA-based sorting system

Donnerstag, 14. April 2022
Startuhrzeit Vortragende Titel
10:00 Uhr Dr. Markus Firsching, Fraunhofer Institute for Integrated Circuits IIS, Germany Material Value Estimation for Recycling of Waste Printed Circuit Boards (WPCBs) by a Deep-Learning-assisted Approach on X-Ray Images
10:20 Uhr Dr. Liesbeth Horckmans, VITO, Sustainable Materials, Belgium INSTAnT - Innovative sensor technology for optimised material recovery from bottom ash treatment
10:40 Uhr Steffen Rüger, Fraunhofer Institute for Integrated Circuits IIS, Germany Deep-Learning-based Aluminum Sorting on Dual Energy X-Ray Transmission Data
11:00 Uhr Kaffeepause
11:25 Uhr Dr. Luke Balzan, Scantech International, Australia Rapid GEOSCAN fully penetrative analysis enabling bulk diversion
11:45 Uhr Mahir Can Cetin, University of British Columbia, Norman B. Keevil Institute of Mining Engineering, Canada The impact of mixing and scale on the bulk ore sorting potential of a panel cave mine
12:05 Uhr Dr. Christopher Robben, SIX-S GmbH, Germany Mineral process sampling and analysis using X-ray computed tomography – a feasibility test results on cassiterite ore
12:25 Uhr Bob McCarthy, SRK Consulting, Canada New Protocols for Pre-Concentration Sampling and Testing
12:45 Uhr Mittagspause
13:45 Uhr Dr. Cord Fricke-Begemann, Fraunhofer institute for laser technology, Germany Laser sensors enable robotic sorting
14:05 Uhr Prof. Dr. Shuji Owada, Waseda University, Resources and Environmental Engineering, Japan Importance in Sensor Based Sorting to Sound Metals Recycling
14:25 Uhr Simon Van den Eynde, KU Leuven, Department of Mechanical Engineering, Belgium Sorting of post-consumer aluminium scrap using Laser-Induced Breakdown Spectroscopy (LIBS) and machine learning
14:45 Uhr Prof. Dr. Hermann Wotruba, RWTH Aachen University, Unit of Mineral Processing, Germany Abschlussworte