Aluminum recycling: laser ensures higher purity
Particularly for complex material compositions – as in electronic waste or end-of-life vehicles – one-to-one recycling depends crucially on the accurate, spatially resolved determination and separation of the individual material fractions. Only if recycling companies are able to determine exact chemical compositions in real time and sort waste on this basis will efficient reuse without downcycling be feasible. And this is what LIBS lays the foundation for: the automated, unmixed separation of a wide range of metal alloys using non-contact, laser-based, quasi-real-time analysis of materials. The process helps users determines how the materials can be used based on product, and, thus, identifies their full value. This applies to high-quality metals in electronic scrap as well as special alloys in toolmaking or the wrought aluminum alloys widely used in automotive engineering.
However, the differentiated analysis of recyclable materials using LIBS is not only the basis for truly closed material flows without downcycling. It also paves the way for accelerated sorting processes and, in conjunction with automated sorting technology, contributes to their cost-effectiveness. “We can process much more scrap in a shorter time than with traditional manual sorting and also achieve genuine sorting purity,” says Fricke-Begemann, summarizing the advantages.
As part of the PLUS project funded by the Federal Ministry of Education and Research (BMBF), Fraunhofer ILT and Cronimet Ferroleg GmbH from Karlsruhe have made LIBS the basis for a new type of process that uses laser-based analysis for a special type of scrap. “These are worn-out drilling, turning and milling tools, which are collected separately in industry. Our project has addressed the special alloys processed in them,” reports Fricke-Begemann. The materials are valuable since they contain a high amount of cobalt, molybdenum and tungsten, and are particularly attractive for single-origin recycling. This is because, like all metals, they can be melted down as often as required and reprocessed into high-quality cutting tools without any loss of quality. In the federally funded project, the partners were able to provide proof of this and demonstrate that the LIBS analysis is reliable. Ultimately, they were able to automate and greatly accelerate the separation process by combining LIBS and robotics. The spectroscopic process identifies more than 20 different alloy elements, even in tiny scrap parts; the robot picks them up and sorts them accordingly. It is the blueprint for fully automated recycling, which can decisively contribute to making recycling processes more efficient.
Laser as a detective: Where are lithium, phosphorus and graphite hiding?
LIBS can also play a key role in the recycling of batteries, an ability that will soon be essential since the mobility sector is slowly transitioning to electricity and the stationary storage requirements are sharply increasing. ACROBAT, an international project that has been running since fall 2022, aims to increase the proportion of critical raw materials recovered from recycled lithium iron phosphate batteries (LFP batteries) to more than 90 percent by 2030. To date, there has been a lack of practicable solutions for recovering raw materials such as lithium, phosphorus and graphite from the anodes and cathodes of battery cells. “With LIBS, we have a tried and tested approach that we can use to measure the quantity, purity and distribution of the valuable materials contained and derive suitable strategies for their reprocessing,” reports Fricke-Begemann.
The targeted combination of LIBS with digital technologies such as digital twins or artificial intelligence (AI) and machine learning opens up completely new possibilities for the recycling industry. “The use of AI is particularly promising due to the variety of materials, the amount of data being generated and the speed at which materials need to be classified during the ongoing process,” says Fricke-Begemann. Especially as it is foreseeable that the industry's tasks will become increasingly complex as the transformation towards a circular economy progresses. In the future, combining LIBS and AI tools could prove to be a real game changer when it comes to detecting and retrieving valuable materials for recycling, not only in pre-sorted industrial waste, but also in household waste. This is also because appropriately trained AI algorithms are able to process data streams from several optical sensors working in parallel. This would open the door to high sorting accuracy at maximum process speeds.
AI and LIBS as pioneers of a genuine circular economy
The experts in Aachen are using the innovative combination of LIBS technology and 3D sensor technology to spatially determine the exact position and orientation of valuable materials. “This means we know exactly where we need to direct the laser beam in order to identify the material,” explains the Fraunhofer ILT expert. Detailed information on the location, quality and exact chemical composition of the respective waste is then available within fractions of a second. In the future, accompanying regulatory measures such as the digital product passport will further increase transparency regarding the materials used along the often global supply chains.
Nevertheless, the transformation to a circular economy remains a Herculean task. “We will be able to detect many more substances by 2030,” Fricke-Begemann is certain. But whether it will be possible by then to actually completely recycle valuable raw materials from end-of-life vehicles, electronic waste and other waste streams and close the corresponding material cycles is questionable. However, LIBS is pointing in the right direction and could prove to be an enabler of genuine closed-loop processes without downcycling.