SOURCE-LINKED INTELLIGENCE

A Multi-fidelity Approach Enabling Automated High Precision in Cold Spray Repair

CORDIS · observation · Publication date unknown

nd the lack of automation in deposit shape control. CoRe will pair the physics-based analytical concept developed within the originating ERC project, with computational models, ad-hoc experiments and artificial intelligence to develop a disruptively robust, unprecedentedly accurate and computationally efficient CS repair planning tool. This fully automated tool will be made interoperable with commercial robots to readily offer customized nozzle trajectory to minimize post-processing, material waste and lead time in repair. The accomplishment of CoRe objectives will set out a unique synergy between CS performance metrics (material flexibility, high deposition efficiency, unlimited build volume) and automation with geometrical accuracy, advancing the repair sector towards an extremely flexible, unprecedentedly scalable and remarkably customizable and sustainable level; this will open the door to the coveted ""freedom and accessibility in repair"" to a wide range of applications. CoRe will also explore target applications, production impact, and marketability of its output. This future-

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recordType

award

status

SIGNED

region

EU

value

150000

unit

EUR