Tata Steel, a global leader in steel production, is committed to sustainability through advanced scrap recycling processes. Recycling reduces the demand for virgin materials, minimizes environmental impact, and supports a circular economy. The primary goal is to produce high-purity processed ferrous scrap, which serves as a critical feedstock for steel production and must meet stringent quality standards for operations in downstream processes like blast furnaces.
Currently, suppliers deliver truckloads of diverse scrap materials, including ferrous and non-ferrous metals, plastics, rubbers, soil, rusted components, and hazardous substances. Upon arrival, the scrap is inspected manually by quality personnel following a detailed checklist. The inspection data is recorded in an app, including images of the materials, which are analyzed to estimate the yield percentages of ferrous, non-ferrous, and other components. After inspection, the scrap is fed into shredders that process approximately 1,000 tons of material daily. The shredded material is then separated into four types of Auto Shredded Residue (ASR): ferrous, non-ferrous, light weight items and dust/powders.
Following shredding, a magnetic separation process is employed to sort ferrous and non-ferrous materials. However, approximately 5% of ferrous materials inadvertently end up in the non-ferrous scrap lines, necessitating manual sorting, which is both labor-intensive and prone to inefficiencies.
We are looking for innovative solutions to optimize the identification, sorting, and quality control of scrap materials in the steel recycling process. This includes enhancing the efficiency of ferrous and non-ferrous scrap separation post-magnetic sorting.
To optimize this process, an automated solution is required to identify and sort ferrous scrap from non-ferrous materials effectively. Automation in this area will not only improve accuracy but also reduce dependency on manual labor, ensuring a more streamlined operation.
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