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Physics-informed machine learning for measurement error correction in elastomer-based sensor systems (piml-lse-errco)

In the last few years Angst+Pfister has developed an innovative, elastomer-based sensor system that integrates force measurement into anti-vibration elements. Challenges remain regarding drift and hysteresis, the mechanisms and potential solutions for which are investiagted in this deep dive R&D effort.

Key Data

Projectlead

Deputy Projectlead

Project team

Project status

ongoing, started 01/2025

Funding partner

Other

Project budget

20'000 CHF