ALCHIMIA

Data and decentralized Artificial intelligence for a competitive and green European metallurgy industry

Website

Industry Sector

Manufacturing . Information Technology

Project Timeline

September 1, 2022 – November 30, 2025

Alchimia aims at the digitalization of big European metallurgy industries to unlock the full potential of artificial intelligence and support green growth.

ALCHIMIA aims at the digitalization of big European metallurgy industries to unlock the full potential of artificial intelligence and support green growth. The main objective of ALCHIMIA is to ensure the greatest levels of safety, trust, and smooth communication between artificial intelligence-powered industrial solutions and workers in those industries.

Related Resources

smart-process-industry-message-debugger

ALCHIMIA: Bridging the Gap in the European AI Innovation Ecosystem Through Digital Innovation Hubs

Dynamic EAF Process Model & Scrap Mix Optimisation.

Applying Life Cycle Assessment to Electric Steelmaking Plants

AI-Based Modelling and Optimization of LF Process

Impact from ALCHIMIA at CELSA’s Use Case

Federated, Continual & Transfer Learning Platform. Presentation.

Identification of Defects on Automotive Parts Production

Empowering Steelmakers with Data.

Human-AI Collaboration: Findings from Social Research.

IAM4SDG: Assessing and Enhancing Sustainability Impact in the ALCHIMIA Project

Federated Learning: A decentralized approach to smarter, safer AI

Collaboration Opportunities & Next Steps

Cast iron 2 product 4 microshrinks data

Cast iron 2 product 3 frequency data

Scrap dataset for plant B

Cast iron 2 product 2 microshrinks data

Cast iron 2 product 3 microshrinks data

Cast iron 1 product 1 frequency data

Cast iron 2 product 2 cementite data

Cast iron 1 product 1 microshrinks data

Scrap dataset for plant C

Scrap dataset for plant A

Cast iron 2 product 2 frequency data

Cast iron 2 product 4 frequency data

Machine Learning models to forecast defects occurrence on foundry products