Synergies
Circular TwAIn, AI Platform for Integrated Sustainable and Circular Manufacturing
This Horizon Europe project researches, develops, validates, and exploits a novel AI platform for circular manufacturing value chains, which aims to increase the performance, resilience and sustainability of direct manufacturing and process industries.
Based on the use of trustworthy AI techniques, Circular TwAIn enables human-centric sustainable manufacturing, fostering the transition towards Industry 5.0 as well as the integration and combination of different data from various sources, with the intent to exploit the advantages of seamless data sharing within trusted and effective manufacturing data spaces, over the entire product life cycle considering sustainability aspects.
Such synergies among projects expand their impact beyond the project level and strongly contribute to the dissemination and communication of state-of-the-art research, fostering the exploitation pathway of important research results. Together, the 3 projects will boost awareness of significant research outcomes, among stakeholders and the general public, helping to tackle today’s most urgent challenges. At the same time this collaboration will strengthen the ties and cooperation among EU-funded research initiatives.
The s-X-AIPI, Circular TwAIn, and AIDEAS projects have joined forces to form a cluster. The 3 research projects have received funding under the Horizon Europe Programme and share a common focus on using artificial intelligence (AI) as a transformational tool to support circular production in the manufacturing and process industries.
AIDEAS, AI Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability and Resilience.
This Horizon Europe project develops AI technologies for supporting the entire life cycle of industrial equipment (design, manufacturing, use and repair/reuse/recycle) as a strategic instrument to improve the sustainability, agility and resilience of the European machinery manufacturing companies.
Design: AI technologies, integrated with CAD/CAM/CAE systems, for optimising the design of industrial equipment structural components, mechanisms and control components.
Manufacturing: AI technologies for industrial equipment purchased components selection and procurement, manufactured parts processes optimisation, operations sequencing, quality control and customisation.
Use: AI technologies with added value for the industrial equipment user, providing enhanced support for installation and initial calibration, production, quality assurance and predictive maintenance for working in optimal conditions.
Repair-Reuse-Recycle: AI technologies for extending the useful life of machines through prescriptive maintenance (Repair), facilitating a second life for machines.