Project description
Advanced mechatronic and digital technologies for remanufacturing energy goods
Remanufacturing products is an effective means for transitioning to a more circular economy. However, there is a pressing need to improve the traceability and reliability of final products from the end-users' perspective, as well as to enhance impact monitoring. The EU-funded R3-Mydas project integrates innovative digital technologies, advanced mechatronics and newly developed techniques from social sciences and humanities to facilitate sustainable circular value chains for remanufacturing energy goods. The project aims to bring about significant functional, environmental and economic improvements in remanufacturing at the factory level, with a focus on oil and gas components, e-vehicle batteries and wind turbine gearboxes. Additionally, it will deliver a marketplace for both remanufactured products and services/components for remanufacturing, along with a training programme for remanufacturing value chains.
Objective
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).
Fields of science
- engineering and technologyenvironmental engineeringwaste managementwaste treatment processesremanufacturing
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energywind power
- engineering and technologymechanical engineeringmechatronics
- natural sciencesmathematicspure mathematicsdiscrete mathematicsgraph theory
- engineering and technologyenvironmental engineeringenergy and fuels
- social scienceseconomics and businesseconomicssustainable economy
Keywords
Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
1253 Luxembourg
Luxembourg