“We are developing new, more efficient, sustainable metal alloys”
TECNALIA promotes a new approach to metallurgy supported by artificial intelligence tools
The MetalIA project is an initiative aimed at transforming traditional metallurgy by integrating advanced artificial intelligence, with the goal of developing new, more efficient, sustainable metal alloys.
The project is looking to break new ground in the field of metallurgy and speed up current material design and manufacturing processes. The aim of this initiative is to create innovative alloys with enhanced performance, capable of meeting the technological challenges of the industrial sector.
One of MetalIA's main objectives is to reduce the use of critical raw materials (CRMs), in line with current European legislation. To this end, the project is structured around three main lines of research:
- Nickel-based alloys for demanding applications.
- Magnetic alloys, incorporating recycled materials to reduce reliance on rare earths.
- High entropy alloys (HEAs), with a focus on new structural and functional properties.
The strategy combines expertise on metallurgy, advanced manufacturing and characterisation techniques, alongside digital tools including computational modelling and generative artificial intelligence.
New "metalurgIA" consortium
The project consortium is made up of TECNALIA, BCMaterials, Tekniker and the University of Deusto. Each of these entities brings expertise in different areas:
- BCMaterials leads the way in developing magnetic materials
- Tekniker is concentrating its efforts on high entropy alloys
- and the University of Deusto is working on generative AI techniques and cross-sectional modelling
As well as coordinating the project, TECNALIA is leading research on nickel-based base alloys and is contributing to the development of recycled magnetic materials, bringing experimental capabilities and expertise in metallurgy and artificial intelligence to the project.
With MetalIA, the metallurgical industry is taking a step towards becoming more innovative, competitive and sustainable, drawing on the potential of artificial intelligence to speed up industrial innovation