ENABLE aims to train early-stage researchers in what is referred to as an outstanding challenge for the future of manufacturing: developing novel solutions for forecasting and mastering processes relevant for all factories using metallic alloys.
ENABLE proposes a complete rethink of the usual process simulation method by developing innovative multiscale, multi-physical and multi-level advanced (TRL 1 to 8) simulation.
To extend the benefits to a wide range of industrial actors, the simulation will be carried out on several widely-used processes: Machining, Friction Stir Welding and Additive Manufacturing. The most popular metals in industry (Titanium, Nickel based and Aluminium alloys) will be chosen for the scientific investigation.
ENABLE will lead to the development of new tools that are better suited to production (reduced premature wear, increased service life, improved tools, etc.) and will reduce production time and thereby production costs.
A group of 9 ESR will be introduced to dynamic approaches to exploiting advances in fundamental research towards innovative applications. To “enable” this vision, each trainee will have access to closely integrated complementarities and world-class expertise in mechanical science, materials science, computer science/numerical methods, state-of-the-art scattering, advanced equipment and significant computational resources. Additional cross-disciplinary training and a strong involvement on the part of the 12 Industries and SMEs and research centres will provide the students with transferable skills and complementary competencies which will improve their research training and enhance their future employability. The proposed project has been co-constructed by academics and industries in line with today’s markets requirements and taking into account the “knowledge triangle philosophy” focusing on a strong interaction between research, education and innovation, which are key drivers of a knowledge-based society.
Field of science
- /natural sciences/mathematics/applied mathematics/numerical analysis
- /engineering and technology/mechanical engineering/manufacturing engineering/additive manufacturing
- /natural sciences/chemical sciences/inorganic chemistry/metals
- /natural sciences/computer and information sciences
Call for proposal
See other projects for this call
Funding SchemeMSCA-ITN-ETN - European Training Networks