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X-rays, Dynamic LIBS and AI: Innovations to transform aluminum recycling

Tomra and Novelis Webcast: Technology Drive and Sustainability

Recently, Tomra Recycling and Novelis shared in a global webcast their commitment to technologies such as X-ray transmission (XRT), Dynamic LIBS, and deep learning-based artificial intelligence systems to optimize aluminum recycling. These tools seek not only to generate aluminum fractions with high levels of purity, but also to significantly reduce CO₂ emissions in the process, aligning with sustainability goals.

Technological keys that mark the future

  • XRT (Transmission X-ray): detects contaminants by atomic density and allows for the rapid and accurate separation of metals of different types.
  • Dynamic LIBS (Laser-Induced Plasma Spectroscopy): with systems like AUTOSORTPULSE, it identifies elemental composition and distinguishes alloys (5xxx, 6xxx series, etc.) with purities greater than 95%.
  • AI + Deep Learning: algorithms that analyze images in real time (such as GAINnext), optimizing the classification and refinement of aluminum profiles, reducing losses, and improving the quality of the final product.

Results: more recycled aluminum, better performance

The combination of these technologies (XRT → Deep Learning → Dynamic LIBS) has shown very promising results:

  • Capacity to recover up to 40% of high-end wrought aluminum (5xxx and 6xxx series) from mixed fractions such as Twitch.
  • Opening up to new qualities, including complex alloys such as the 2xxx, 3xxx, 7xxx, and 8xxx series.
  • Reduction of the main recycling obstacle: material purity, allowing for ready-to-melt materials to replace virgin aluminum.

Advantages for recyclers and industrialists

  • Economic optimization: less waste and greater value from recovered material with purities above 95%.
  • Reduction in energy costs and emissions: the use of sensors and advanced sorting minimizes resource consumption, contributing to decarbonization.
  • Operational flexibility: Technologies such as autosortPulse and GAINnext are scalable and can be integrated into existing lines, improving industrial adaptability.

Towards precision recycling and a circular economy

El sector metalúrgico está adoptando un enfoque de economía circular inteligente, donde desde la fase de diseño de producto ya se considera la futura reciclabilidad. La sesión concluyó con un llamado a adoptar secuencias optimizadas de clasificación que prioricen calidad, valor y sostenibilidad.

Do you have doubts? We are here to help

Are you ready to be part of the global recycling growth?

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