Descripción del proyecto
Las microestructuras locales de las aleaciones ayudan a diseñar materiales a medida
Las aleaciones son una mezcla de dos o más metales o de elementos metálicos y no metálicos. Esta mezcla da lugar a una estructura con cierta heterogeneidad, lo que impide su uso generalizado en la fabricación aditiva. En el proyecto HeteroGenius4D, financiado por el Consejo Europeo de Investigación, se desarrollarán métodos de fabricación aditiva ascendentes y de alta precisión para adaptar estas estructuras heterogéneas a distintas escalas de longitud. La capacidad de aprovechar las heterogeneidades estructurales y crear materiales con propiedades que pueden cambiar con el tiempo añade una cuarta dimensión al diseño de componentes impresos en 3D y allana el camino para la impresión 4D.
Objetivo
Superior high-performance materials and CO2-free production technologies are key enablers to solving Europe’s current and future societal challenges [1]. In this context, additive manufacturing (AM) as one of the disruptive, green production technologies of our time “is expected to become a key manufacturing technology in the sustainable society of the future” [2].
However, alloys specifically designed for AM are rarely available, which prohibits AM from reaching its full potential. In contrast to conventional alloys and processing, alloys processed by AM are highly microstructurally heterogeneous. It is the aim of HeteroGenius4D to use the process-inherent conditions of highly precise, bottom-up AM approach to tailor these heterogeneous structures (e.g. grains/phases and their boundaries and orientations, chemical gradients, etc.) locally and spatially on various length scales. This is the basis for the novel design concept of heterogeneities-guided alloy design for AM. The potential to print local microstructures and properties in AM adds a 4th dimension to the design of 3D printed components; i.e. enables 4D printing.
AM-processed metals with increasing degree of heterogeneity (from pure element over solid solutions with chemical gradients to multi-phase alloys with further phases and gradients) are studied systematically. The process-structure-properties-performance linkages are identified and quantified by combining high-throughput material synthesis (using extreme high-speed laser material deposition) and characterization with physics-based simulation tools, enabling a comprehensive integrated computational materials engineering (ICME) framework. The generated data serves as a basis for sophisticated data-driven (machine learning, ML) materials modelling and enables the establishment of an Experiments-ICME-ML optimal design approach for metal AM. Finally, the concept of heterogeneities-guided alloy design is generalised and transferred to graded components.
Ámbito científico
Palabras clave
Programa(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Régimen de financiación
HORIZON-ERC - HORIZON ERC GrantsInstitución de acogida
10623 Berlin
Alemania