ViscoControl - Control of the injection molding process to compensate for the viscosity fluctuation of recycled plastic
Beschreibung
ViscoControl employs Residual Reinforcement Learning to create novel control algorithms to compensate for the viscosity fluctuation of recycled plastic in injection molding. The combination of stability with adaptive, self-learning capabilities will boost the processing of recycled materials.
This leads to improved product quality, reduced material waste, and increased production efficiency. By continuously learning from process data, the system adapts in real time to changing material properties. This makes it especially valuable in sustainable manufacturing environments where material variability is a key challenge.
Eckdaten
Projektleitung
Projektteam
Etienne Gubler, Dr. Amin Mazloumian
Projektpartner
Kistler Instrumente AG; Georg Utz Holding AG
Projektstatus
laufend, gestartet 06/2025
Institut/Zentrum
Institute of Embedded Systems (InES)
Drittmittelgeber
Innosuisse Innovationsprojekt