International Projects
AI powereD characterization and modelling for GREEn STeel technology
Title: AI powereD characterization and modelling for GREEn STeel technology
Acronym: AID4GREENEST
Start: : 01.09.2023 (Łukasiewicz – GIT joined the consortium on 01.03.2025) / End: 31.08.2026
Co-financing for Łukasiewicz – GIT: EUR 350 020.00
Total value of the project: EUR 2 866 499.00
Executive Agency: European Commission (HADEA)
Programme Name: Horizon Europe
Consortium:
- Fundación Imdea Materiales [koordynator]
- Universiteit Gent
- Oulun yliopisto
- L’Université de Liège
- Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.
- Onderzoekscentrum voor Aanwending van Staal NV
- Reinosa Forgings & Castings, S.L.
- Asociación Espaňola de Normalización
- ePotentia
- EurA AG
- Łukasiewicz Research Network – Upper Silesian Institute of Technology
Kierownik projektu:
Roman Kuziak, BEng, PhD, DSc, ProfTit
Tel.: 32 2345 241
E-mail: roman.kuziak@git.lukasiewicz.gov.pl
Objective:
The Fourth Industrial Revolution and increasing market demand for advanced steels are driving research towards the transformation of manufacturing processes and the development of more sustainable steel compositions. The conventional trial-and-error approach traditionally used in the development of metallurgical processes still prevails in industrial steel plants. However, it remains a time-consuming and labour-intensive practice that generates significant material waste and associated carbon emissions.
Moreover, this approach can often lead to repetitive cycles of process design, production implementation, and late detection of design flaws, which in turn result in high component rejection rates. Identifying such inadvertent flaws in manufacturing strategies before industrial implementation could be key to achieving substantial cost savings.
With the introduction of AI- and simulation-driven design, the need for iterative interactions between component and process design can be significantly reduced. The main objective of AID4GREENEST is to develop six new AI-based rapid characterisation methods and modelling tools. The scope of the AID4GREENEST tools will encompass all stages of the value chain: steel design (chemistry and microstructure), process design (processing parameters), product design (processing and heat treatments), and product performance (e.g. creep).
The proposed tools will be complemented by a roadmap aimed at enabling model-based innovation processes — from materials design to product development — while taking into account industrial priorities such as enhanced material quality, reduced carbon emissions and waste generation, and lower supply risks of critical raw materials.
To ensure effective knowledge transfer of the characterisation and modelling data generated within the project to the wider European research community, AID4GREENEST will also develop an open online platform based on a standardised and interoperable data management system, aligned with the EMMC, EMCC and EMMO frameworks.