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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