Application to metallurgical processes

Modelling, optimisation and decarbonisation of high-temperature metallurgical processes including sintering, blast furnace ironmaking and emerging hydrogen-based pathways.

Sintering

The mechanism-based model and data-driven model will be integrated to understand the distribution and packing characteristics of raw materials, particle melting and solidification, gas flow, combustion, and chemical reactions in a sintering process, aiming to achieve better design and control.

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Blast furnace ironmaking

By combining mechanism-based and data-driven models and data measurements, an intelligent platform will be developed to realise the digitalisation, visualisation, and smart control of new and traditional blast furnace ironmaking operations. The aim is to develop feasible technologies that can lead to high energy efficiency, low carbon emissions, and stable operation.

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Other processes or operations

Efforts will be made to develop a solution for higher value use of the steelmaking furnace slag (SFS). It will develop a solution for a selective separation of phosphorus, iron and the calcium phases of the SFS through leaching, filtration and precipitation. The aim is to develop and test some general knowledge and technologies for the design and control of different types of processes in the mineral and metallurgical industries.

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