Tomra upgrades wrought aluminium scrap through new AI solution
Image: Tomra
Tomra Recycling has expanded its portfolio of advanced metals recycling with an AI-based solution to upgrade wrought aluminium scrap.
This development represents the first application of GAINnext – Tomra’s deep learning-based sorting technology – in the metals industry. This AI innovation enables aluminium scrap processors and recyclers to upgrade their wrought aluminium scrap and produce exceptionally high purity fractions by instantly recovering low alloy cast from the wrought fraction and reducing alloying elements such as silicon. GAINnext complements Tomra’s X-TRACT, which separates based on atomic density.
The X-TRACT, featuring X-ray Transmission (XRT) technology, is the industry standard for sorting aluminium from heavy metals based on atomic density. X-TRACT initially sorts shredded mixed non-ferrous metals (Zorba) to produce high-purity aluminium scrap (Twitch), then removes high alloy aluminium cast and high-density wrought aluminium to further refine the Twitch. This process yields a high-quality fraction, containing both wrought aluminium and minor amounts of low alloy cast, which other currently available sorting methods cannot fully separate.
Now, by integrating GAINnext into the sorting process after X-TRACT, a pure wrought fraction can be achieved. GAINnext leverages the power of deep learning and artificial neural networks. Using RGB cameras, it rapidly processes tens to hundreds of thousands of images per millisecond, ‘perceiving’ and ‘classifying’ materials by shape, size and dimension with exceptional accuracy. This advanced system, trained over years by our experts, mimics human vision but with superior speed, facilitating high throughput sorting of up to 2,000 ejections per minute. In its first metals industry application, by precisely detecting and removing low alloy cast from the wrought fraction that Tomra’s X-TRACT produces, GAINnext delivers an exceptionally high purity wrought product that commands premium market prices, according to Tomra.
For customers seeking to achieve even higher granularity levels in aluminium sorting, the wrought fraction recovered by GAINnext can be further refined using TOMRA’s Autosort Pulse system, which employs dynamic laser-induced plasma spectroscopy (Dynamic LIBS) for precise identification and sorting of different alloy types. Launched in 2023, our breakthrough innovation Autosort Pulse leverages precise elemental composition analysis and advanced dynamic laser detection to accurately distinguish between different alloy types e.g. 5xxx and 6xxx aluminium.
Tom Jansen, head of the metals segment, sales at Tomra Recycling, commented: “We are excited to launch this new deep learning-based application to upgrade wrought aluminium. Deep learning is a powerful addition to our traditional sensor-based technology, and expanding our GAINnext ecosystem aligns with our broader AI strategy. Building on our proven success and the significant results our customers have achieved with GAINnext in the waste segment, we are confident in delivering similar value to our metals customers.
“This latest application enhances dry mechanical sorting of mixed metals, offering a cost-effective solution with a low cost per ton thanks to its high throughput and significantly reduced manual sorting requirements. Our customers will be able to consistently produce smelter-ready, premium-grade aluminium with exceptional purity levels. This is a significant enhancement to our metal recycling solutions portfolio, and we anticipate wide adoption by recyclers seeking to refine scrap and generate high-quality feedstock for circular manufacturing.”
