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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

Grundkonzept des Forschungsvorhabens aus Produktsicht (Primäre Arbeitsbereiche der Hochschule Schmalkalden Materialeigenschaften und Prozessführung)

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