The FORGE project’s overarching concept is to provide a new knowledge-based framework to design tailored Compositionally Complex Materials (CCMs) with the required combination of hardness, smoothness, toughness, gas-impermeability, and/or corrosion resistance tailored to meet the specific future and current needs in individual energy intensive processing environments.
The FORGE project is focussed on improving the competitiveness and sustainability of the European energy intensive industry via a life-cycle approach to material and system specification, allowing them to increase production and introduce new low-CO2 emission processes, increasing resistance to corrosion/erosion problems and to reduce the overall through life costs. The technology proposed includes:
- Rationalisation and modelling the design requirements for the range of processing components and environments across the European high energy processing industries,
- Exploration of Compositionally Complex Materials for compatibility against physio-chemical mechanism of degradation,
- Training of a Machine Learning (ML) model to guide high-throughput experiments to map and optimise new CC systems for four target properties: resistance to H2 embrittlement; resistance to CO2 corrosion; stability at high temperatures; and resistance against sliding/impact wear at relatively high temperature,
- Develop the new CCM material preparation and coating methods, ensuring their compatibility with the forming and welding processes used in manufacture,
- Develop a Knowledge base AI platform, composed of an ensemble of ML & genetic algorithm models, cost and environmental analysis tool, inference & rule engines anddecision support system.