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Identification and sorting of ferrous and non-ferrous scrap after magnetic separation
  • Background
  • What we're looking for
  • What we can offer you
  • Who we are
  • Q&A
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Background

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.

What we're looking for

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.

Solutions of interest include:
  • Automated systems for identification and categorization of incoming scrap materials
  • Automated sorting systems to sort ferrous from non-ferrous materials
Our must-have requirements are:
  • Easy to plugin with minimal changes to the existing setup
  • Ready to implement solutions
  • Easy to maintain
Our nice-to-have's are:
  • Scalable solutions
What's out of scope:
  • Replacement of existing setup
  • Technologies that interfere with the operability and productivity of the existing equipment
Acceptable technology readiness levels (TRL):
Levels 5-9
What we can offer you
Eligible partnership models:
Supply/purchaseLicensingCo-development
Benefits:
Services Agreement
Tata Steel would fund the implementation, with the amount of funding to be discussed after the techno-commercial finalization of the proposal, subject to a tentative budget of up to $100,000.
Expertise
Partner will be assigned a representative from Tata Steel. They will assist the partner during the project as required.
Data
After NDA is signed we can share required data.
Tools and Technologies
Partners will be allowed to do local customization of instruments. They can access our lab facilities.
Facilities and Services
Partner will be invited to concerned plant or facility for survey and on site understanding of the challenge (video call may also be explored). Required help will be given from Tata Steel to the selected partner.
Who we are

Shaped by a lineage of sound and straightforward business principles, the Tata group and our teams are built on a foundation of trust and transparency. We strongly believe that our people are our greatest asset. We also endeavor to nurture a culture of diversity, innovation, total quality management and employee care and respect. In all our global operating locations, we pride ourselves on being an equal opportunity employer and not discriminating on the basis of race, caste, religion, color, ancestry, gender, marital status, sexual orientation, age, nationality, ethnic origin or disability.

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Reviewers
Q&A with Tata Steel

The Q&A is now closed.

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Q.
Where will this solution be deployed geographically? In the Netherlands, UK, India or elsewhere? Do you have an ideal timeframe for the development of the solution?
TS
Thomas Sommer, , Lawrence Technical University
February 11, 2025
1
A.
This solution would be deployed in India. what is the current TRL of the solution you may have?
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Shikha Suman, Area Manager Program Management , Tata Steel
February 13, 2025
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Q.
We are building this exact solution but are earlier in TRL. Can we speak to someone to get more context on the flexibility of the technology stage?
1
A.
Hi, any TRL level is welcome as long as it works
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Shikha Suman, Area Manager Program Management , Tata Steel
March 31, 2025
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