Automotive
Naval
Aerospace
Renewable energy
Chemical
Construction
etc..

Automotive
Naval
Aerospace
Renewable energy
Chemical
Construction
etc..
6
EDAG
GAIKER
FRAUNHOFER
CNRS
ICAM
CobatCompositi
HEAD
This demo-case developed a novel application of LIBS for the accurate classification of GFRC and CFRC materials, addressing the growing need for efficient sorting of composite waste.
Advanced chemometric models are developed and tailored to the complexity and variability of diverse end-of-life composite materials, ensuring robust and reliable identification.
These models are trained using a wide variety of reinforced composite matrices provided by the project partners to maximize accuracy and generalization capability.
The solution includes the development of dedicated control and user-interface software enabling real-time material recognition, with seamless integration of AI models into the application for automated decision-making.
Hardware innovation is achieved through the integration of a high-sensitivity spectrometer, enhancing signal quality and detection performance.
Combined improvements in hardware configuration and analytical processing significantly increase the throughput of the monitoring system, delivering faster, more efficient composite classification suitable for semi-industrial scale operations.
