SOURCE-LINKED INTELLIGENCE

Purity improvement of scrap metal

CORDIS · observation · Publication date unknown

low-quality scrap grades (post-consumer scrap) by deploying and applying best available technologies to reduce impurities. This is achieved through novel sensor combinations and analysis supported by artificial intelligence. A key part is the connection between scrap sorter and the steel industry which are the consumers of the scrap. This ensures that there is a demand for the enhanced purification and valorisation methods. The steel industry also enables the industrial scale verification of the PURESCRAP methods, where sorted scrap is used for steelmaking in semi-industrial and industrial scale. The shredding process is identified as the most promising method leading to impurity liberation and later removal, for which the site of the Swedish scrap supplier STENA is chosen for demonstration. With a better analysis of the scrap material after the sorting and preparation chain, appropriate material handling can be optimised for desired outputs. During the project, sensor stations will be integrated in the two separate processing chains for heavy (cut) and shredded scrap. The proposed i

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

4997059.75

unit

EUR