SOURCE-LINKED INTELLIGENCE

Resource efficient materials for Additive Manufacturing

CORDIS · observation · Publication date unknown

ing with an industrial powder producer and researchers to deploy advanced sensors in new ways to optimise powder production process monitoring and enable the creation of new process models, including artificial intelligence. Recycling processes are also targeted by exploring the transformation of material waste into wires for directed energy deposition and scrap into powders for directed energy and powder bed processes. The manufacturing processes themselves are considered with advanced monitoring tools in combination with artificial intelligence models to enable real-time process control and optimisation, which will permit the use of a wider range of scrap in such processes. Materials design principles shall be applied to make alloys more robust for recycling purposes. Finally, the reconditioning of old or degraded metal powders is investigated to develop the technology for industrial readiness and thereby offer a more sustainable way to reuse these powder instead of simply melting them in bulk processes. All of these steps offer a reduction in materials losses and an acceptance of

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recordType

award

status

SIGNED

region

EU

value

10635440.6

unit

EUR