Gain exclusive knowledge from industry experts on how AI, Dynamic LIBS, and multi-stage sorting processes are transforming aluminum recycling. Learn how to recover more, reduce material loss, and meet rising demand for high-purity, grade-specific aluminum alloys. Simply complete the form to access two valuable resources from our expert-led webcast: From AI to Dynamic LIBS: How New Sorting Technologies Drive Growth in Aluminum Recycling.
Full webcast recording (30 min):
Hear TOMRA and Novelis experts walk through the multi-stage sorting process – from density separation to AI and Dynamic LIBS – and how it boosts yield, purity, and profitability.
Aluminum FAQs (PDF):
Get concise answers to key questions on alloy grade detection, Dynamic LIBS vs. deep learning, and how to evaluate ROI.
What You’ll Learn:
- How AI and Dynamic LIBS enable faster, more precise alloy identification – even in complex scrap streams
- How post-shredder operators are upgrading Zorba into high-purity, grade-specific aluminum fractions
- Test results showing over 95% purity for performance-critical aluminum alloys
- Proven business impacts: reduced material loss, higher resale value, and shorter ROI cycles
- Expert insights on scaling operations and meeting recycled-content targets
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