KIOptiPack
AI-based optimisation of plastic packaging with recycled parts
Research
- Characterisation of recyclate for plastic packaging
- Determination of characteristic values for processing in the injection moulding process
- Investigation of surface treatments to reduce degradation effects
- Process and signal analysis for the definition of production parameters
- Development of production-stabilising algorithms
- Consideration of hot runner control technology and its influence on process control
Results
- Increase "Reduce", "ReUse", "Recycling"
- Extending recycling iterations and slowing down downcycling
- Increase material and process efficiency
Involved organisations and contact
Schmalkalden University of Applied Sciences
Prof. Dr.-Ing. Thomas Seul
Project Management HSM Production Engineering I Tool Design
Prof. Dr.-Ing. Stefan Roth
Product Development I Additive Manufacturing
Prof Andreas Wenzel
Embedded Diagnostic Systems
RWTH Aachen University
Institute for Plastics Processing (IKV)
Univ.-Prof. Dr Christian Hopmann
Consortium management
48 further partners from industry
science and society
Additional information
- Runtime: 08/2022 - 07/2025 (36 Month)
- Funding amount: 20.006.787,00 €
- of which HSM funding: 506.601,07 €
- pdf (german): KIOptiPack - Ganzheitliche KI-basierte Optimierung von Kunststoffverpackungen mit Rezyklatanteil
