AI-based optimization of the recirculation of plastic packagingmechanical modeling of weak snow layers

Research project : K3I-Cycling

Project name AI-based optimization of the recirculation of plastic packaging
Acronym K3I-Cycling
Project partner
  • TU Darmstadt, Institut IWAR
  • Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung eingetragener Verein
  • Lobbe RSW GmbH
  • Cirplus GmbH
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Hochschule Harz, Hochschule für angewandte Wissenschaften
  • Universität des Saarlandes
  • Knowtion GmbH
  • RKF Recycelte Kunststoffe & Fasern KG
  • WeSort.AI GmbH
  • Gesellschaft für Informatik e. V.
  • Wissenschaftsstadt Darmstadt
  • Awesome Technologies Innovationslabor GmbH
  • Deutsches Verpackungsinstitut e. V.
  • Entsorgungstechnik BAVARIA GmbH
  • Technische Universität München
  • Siemens Aktiengesellschaft
Grantor Federal Ministry of Education and Research
Duration 01st September 2022 – 31st August 2025
Project content The aim of K3I-Cycling is the significant quantitative and qualitative improvement of material recycling of post-consumer plastic packaging waste. Therefore, K3I-Cycling is using an Artificial Neural Twin to develop a new, open, and standardizable AI interface. An Artificial Neural Twin is a fully differentiable representation of an entire system that can be used to optimise individual components in relation to that system. Here, sensory information along the material flow is captured as data. Consequently, relevant information can be collected across different sectors for a light packaging product pass. For the first time, this enables digital networking of all stakeholders along the value chain.
Project homepage