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Heterogeneities-guided alloy design by and for 4D printing

CORDIS · observation · Publication date unknown

tion 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. materials science, high-performance alloys, additive manufacturing, microstructure, plasticity, design, integrative computational materials engineering, machine learning, experiments

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recordType

award

status

SIGNED

region

EU

value

1499999

unit

EUR