Updates
Here you can find the most recent research progress for the HIYIELD project.
Realized Outcomes
Completed Deliverables Report
|
Deliverable No. |
Deliverable Name |
Work Package No |
Lead Benificiary |
|---|---|---|---|
| D1.1 |
Governance structure, Quality management plan and control |
WP1 | KTH |
| D1.2 | Technology Watch Report M12 | WP1 | KTH |
| D1.3 | Technology Watch Report M24 | WP1 | KTH |
| D1.4 | Technology Watch Report M42 | WP1 | KTH |
| D2.1 | Database of suitable scrap types as process feedstock | WP2 | AEIF |
| D2.2 | Report on defined Scenarios and Improvements | WP2 | KTH |
| D2.3 | Database on demands, limitations, online data availability on scrap usage in steelmaking | WP2 | FENO |
| D3.1 | Report on the implementation of the infrastructure at demo plant | WP3 | MIN |
| D3.2 | Report on augmented reality visualization for direct plant operator | WP3 | KTH |
| D3.3 | Software and algorithms for scrap identification developed | WP3 | SAG/SHS |
| D4.1 | Report on sorting, upgrading and use of postconsumer scraps | WP4 | AEIF |
| D4.2 | Report on implementation of DL-scrap identification | WP4 | FENO |
|
D4.3 |
Report on implementation high-speed liquid steel sampling&analysis | WP4 |
MIN |
| D5.1 | Report on technology improvement achieved | WP5 | BÖH |
| D5.2 | Report on yield improvements and better scrap use | WP5 | AEIF |
| D6.1 |
Evaluation of the implemented demo processes regarding the applicability |
WP6 | KTH |
| D6.2 |
Life Cycle and Environmental Impact Analysis study |
WP6 | AEIF |
| D6.4 |
Evaluation of the sustainability of the process technology |
WP6 | KTH |
| D6.5 |
Future Technology Roadmap defined |
WP6 | KTH |
| D6.6 |
Report on standardization strategies and roadmap for further scrap types beyond EU-27 Steel Scrap Specification |
WP6 | STE |
| D7.1 | Plan for Communication, Dissemination and Exploitation activities - M6 | WP7 | KTH |
| D7.2 | Plan for Communication, Dissemination and Exploitation activities - M18 | WP7 | KTH |
| D7.3 | Plan for Communication, Dissemination and Exploitation activities - M42 | WP7 | KTH |
| D7.4 |
Updated Business Plan including Marketing Mix - M42 |
WP7 | KTH |
| D7.5 | Data Management Plan - M6 | WP7 | KTH |
| D7.6 | Data Management Plan - M42 | WP7 | KTH |
| D7.7 | Report on expected knowledge protection and technology transfer | WP7 | KTH |
Achieved Milestones
|
Milestone No |
Milestone Name |
Work Package No |
Lead Benificiary |
|---|---|---|---|
| 1 | Scenarios defined | WP2 | FENO |
| 2 | Infrastructure prepared | WP3 | MIN |
| 3 | Methods implemented | WP4 | SAG/SHS |
| 4 |
Environmental impact reduced |
WP6 | AEIF |
Newsletters
Publications
- DOES - A multimodal dataset for supervised and unsupervised analysis of steel scrap
- CLRiuS: Contrastive Learning for intrinsically unordered Steel Scrap
- Machine learning approach for predicting tramp elements in the basic oxygen furnace based on the compiled steel scrap mix
- An AI-powered holistic system for optimizing the usage of steel scrap in steel production
- Deep Learning based Tool for Optimizing Scrap Feed prior to EAF Operation