SOURCE-LINKED INTELLIGENCE

Sustainable production, processing and modelling of durable additive manufactured materials for enhanced performance and long-term service in complex environments.

CORDIS · observation · Publication date unknown

ii) enable AM as preferred repair method for defunct metallic products and iii) enable AM for metal functionalisation. DurAMat’s research combines experimental research with multiscale modelling and machine learning (ML) methods. DurAMat fills important knowledge gaps and will innovate AM metals (duplex steel alloys for marine, magnesium for bioresorbable implants) and coatings (biocomposite and AM metal coatings for corrosion and mechanical performance), technologies and services (AM for repair, ML for corrosion inhibitor selection), three computational models (multiscale and ML) and one device (add-on for Wire Arc Additive Manufacturing microstructure control). The DurAMat consortium consists of 6 Universities, 2 Research Centres and 5 Industrial Companies from 6 European Countries. It will train 10 doctoral candidates in a holistic approach, encompassing cross-disciplinary scientific knowledge transfer, teaching activities and cultivating interpersonal and transferable skills. DurAMat’s impact forecasts, among others, a 30% energy reduction in the processing and manufacturing of

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recordType

award

status

SIGNED

region

EU

value

2643703.2

unit

EUR