Abstract
(Englisch)
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Despite the multiple advantages of products remanufacturing, being widely recognised as an
effective means for transitioning to a more circular economy, there is still need for improved
research and experimental observations, to improve traceability and reliability of the final
products from end-users' perspectives, as well as enhanced impacts monitoring. The primary R3-Mydas
objective is to develop a multi-actor framework, integrating innovative digital technologies (ML
for process and quality control, marketplace, graph models for defects detection, digital twins),
advanced mechatronics (AM, laser-cladding, automated disassembly/reassembly) and newly developed
approaches from SSH (extended TAM/UTAUT models, ethics and legal framework), for functionally,
environmentally and economically sustainable circular value chains for remanufacturing of energy
goods at the factory level (Oil&Gas crankshafts - demo 1, E-vehicles batteries - demo 2, Wind
turbines gearboxes - demo 3). R3-Mydas will deliver unprecedented impacts throughout the targeted
value chains, as follows: up to 60% time reduction in programming for remanufacturing; up to 20%
increased product quality; up to 30% rework reduction [Demo 1]; up to 30% improved detection of
tiny deviations from normal behaviour; up to 50% faster anomaly localization; up to 30% increase
the number of different modality data streams handled; up to 20% faster fusion process [Demo 2]; up
to 99% reusage rate; -90% prevention rate; -75% lead time; up to 85% raw material savings potential
[Demo 3]. The Project will deliver a marketplace associating to each remanufactured product or
services/component for remanufacturing a Digital Passport-like set of information, ensuring full
traceability. Finally, a dedicated training programme will be designed and delivered by EITM,
targeting the Project
remanufacturing value chains (100+ training hours and 100+ diverse stakeholders engaged during the
Project).
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