s-X-AIPI – self-X Artificial Intelligence for European Process Industry digital transformation

The overall objective of s-X-AIPI is to research, develop and experiment an innovative toolset of custom trustworthy self-X AI technologies (autonomous AI that minimizes human involvement in the loop and exhibits self-improving abilities). AI applications will help workers to deal with external and internal influences and enable agile and resilient reaction of European process industry processes and products lifecycle for a true integration into the circular manufacturing economy ecosystem.

The aim is to provide existing process industries and its workers with agility of operation, improvement of performance across different indicators and state of the art AI-based sustainability tools for the design, development, engineering, operation and monitoring of their plants, products and value chains.


CheckSIS – Performance assessment for automatic surface inspection systems

Initial situation: In modern steel production, automatic surface inspection systems (ASIS) are commonly used to detect and classify surface defects […]

Nanocarbides II – Influence of deep cryogenic treatment on distortion, corrosion and fracture toughness

Initial Position / Aims: In a previous project, high-alloy steels from the hot work, cold work and plastic moulding sectors […]

MiningWater – Mining water recovery using innovative technologies for saving fresh water

Initial situation Conflicts of water use due to increasing water demand from population growth and industrial development combined with inadequate […]

SafeDewPoint – Acid dew point and corrosion sensors for dynamic waste heat recovery from steel mill flue gases

During combustion of steel mill gases acid dew point temperature varies strongly. SafeDewPoint aims to recover waste heat in hot […]