Collaboration to reduce development time of electric arc furnaces

Leveraging machine learning, the Materials Processing Institute (MPI) will focus on optimising the design of Electric Arc Furnaces (EAFs) as well as advancing the development of essential materials produced by the foundation industries, including concrete and plastic.

It will enable MPI, which operates an EAF plant in its Green Steel Centre on Teesside, to utilise Intellegens' advanced Alchemite machine learning suite, a tool that supports the design and development of processes, materials, chemicals, and formulations.

According to MPI, this allows R&D teams to reduce repetitive, costly, and time-consuming experiments and process developments by approximately 50-80 per cent. It has already been successfully applied across multiple industries, from alloy development in the car industry to additive manufacturing methods and drug pharmacokinetics.

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In a statement, Terry Walsh, CEO of MPI, said: "Our collaboration with Intellegens is a crucial step in supporting the UK’s steel industry to transition to a more sustainable future. Applying machine learning to EAF technology will allow us to create new efficiencies and it accelerates our ability to innovate.”