Laser induced breakdown spectroscopy for identification and sorting of end-of-life composites

IRIS

Automotive

Naval

Aerospace

Renewable energy

Chemical

Construction

etc..

6

EDAG

GAIKER

FRAUNHOFER

CNRS

ICAM

CobatCompositi

HEAD

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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.

  • Novel application of LIBS for the classification of GFRC and CFRC materials.
  • Development of chemometric models tailored to diverse end-of-life (EoL) composite materials.
  • Development of control and user-interface software for real-time material recognition.
  • Integration of AI models into the developed software application
    Hardware innovation through the integration of a high-sensitivity spectrometer.
  • Training of models using a wide variety of reinforced composite matrices.
  • Increased throughput of the monitoring system by improved hardware and analysis speed.
Challenges
  • Recognition of reusable FRC is currently not possible in mixed waste streams.
  • Recycling and reprocessing of EoL FRC requires an accurate material identification.
Solution
  • Non-destructive smart recognition monitoring system for FRC materials.
  • Promising approach to sort various EoL materials types.

LIBS system / Customized software displaying results

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