Use Cases
Demonstration at four representative industrial use cases
It will generate a showcase portfolio of trustworthy AI technologies (data sets, AI model and applications) integrated into an innovative toolset available for industry and research as an example of self-X AI technologies integrated in actual process industries’ value chains.
STEEL
SIDENOR steel use case focuses on the optimised use of scrap (affected by disturbing elements like copper which are includes especially in low-quality external scrap) to produce high-quality steel products, avoid downstream surface quality problems and reduce process energy intensity (mainly in scrap melting Electric Arc Furnace EAF).
ASPHALT
EIFFAGE asphalt use case focuses on the circularity of the value chain (from quarry to road) with respect to the quality control of feedstock (aggregates, bitumen, recycled asphalt), the overall sustainable performance of the process (including asphalt paving) and the quality of final product (asphalt mix).
PHARMACEUTICAL
RCPE pharmaceutical use case focuses on the prediction of optimal settings in manufacturing of chemicals and active pharmaceutical ingredients involving solid/liquid suspensions, through ML based control strategy and report to human-in-the-loop.
ALUMINIUM
IDALSA aluminium use case focuses on the optimization of recycling processes from (1) optimized scrap processes parameters by scrap and final products properties (quality and alloy contents) and (2) guiding through efficient recycling path (strategy) to reach desired quality and ensure circularity of the Al and the smallest environmental impact.