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ViscoControl - Control of the injection molding process to compensate for the viscosity fluctuation of recycled plastic

Description

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.

Key Data

Projectlead

Project team

Etienne Gubler, Dr. Amin Mazloumian

Project partners

Kistler Instrumente AG; Georg Utz Holding AG

Project status

ongoing, started 06/2025

Institute/Centre

Institute of Embedded Systems (InES)

Funding partner

Innosuisse Innovationsprojekt