KYKLOS 4.0 will demonstrate, in a realistic, measurable, and replicable way the transformative effects that CPS, PLM, LCA, AR and AI technologies and methodologies will have to the Circular Manufacturing (CM)Framework. To this end, KYKLOS 4.0 will (1) perform large-scale piloting in 7 pilots to demonstrate the technical, environmental and economic viability of KYKLOS 4.0 Ecosystem to reshape intra-factory processes and services, (2) show KYKLOS 4.0 value in terms of operational efficiency improvements by at least 15%, (3) deliver resources reusable solutions (second use of material, part and components reuse) for the whole manufacturing sectors, (4) ensure scalability for future scale of novel CM technologies and services at least at the level of year 2024, (5) engage over 100 key European industry actors, (through open calls and workshops) (6) transfer knowledge and technology to increase use of KYKLOS 4.0 Ecosystem to at least 50%, (7) strengthen the position of EU CM technologies providers and sector fostering a market share of up to 12% (8) pursue a strong plan for sustainability by incubating at least 3 post-project replication sites, (9) mobilize additional sector investments of at least 6 times the EC contribution. Bringing together knowledge and solutions of major European CPS, PLM, LCA and AI technology providers together with the competence and experience of key European industry players in the CM domain, KYKLOS 4.0 will demonstrate a measurable increase of KYKLOS 4.0 Ecosystem penetration in CM market, reduction of environmental impact due to the reduce of the use of fossil fuels and raw materials and impact in seven pilot domains, which cover areas of major importance for the CM sector in EuropeA unique characteristic of KYKLOS 4.0 is that all CM related technologies, sectors and stakeholders together with their relevant expertise are covered. Thereby, the delivered by KYKLOS 4.0 are relevant for the whole manufacturing sector and market in Europe.

MASTRO Project aim is to develop intelligent bulk materials for the transport sector based on the novel concepts like self-sensing, self-deicing, self-curing, self-healing and self-protection methodologies to increase consumer safety, component life-span and performance while reducing maintenance and manufacturing costs. The functionality of the developed components will be demonstrated under relevant conditions at prototype level for the aerospace, automotive and transport transport networks. These developments will be supported by theoretical material models to capture the self-responsive functionalities. The outputs of the Project will consist of numerous applications in these sectors. The matrices addressed consist of lightweight polymer composites like glass/carbon fibre reinforced polymers and thermoplastic materials (including melt-spinning for textiles used in the transport sector) together with asphalt and concrete formulations incorporating electrical carbon-based conductive nanomaterials. These self-responsive functionalities are based on two physical phenomena: piezoresistivity and Joule effect. The aim of self-responsiveness properties can be summarized as follows: Self-sensing: to confer to the intelligent components the ability to monitor/store data about its own condition in terms of vibrations, defects, fatigue, creep and strain. Self-deicing: to avoid the ice layer formation or the loss of performance due to cold weather. Self-curing: to increase quality and durability while reducing manufacturing cost of the polymer composites and cement concrete formulations by improving the curing process step. Self-healing: to aid the repair of polymer composites and asphalt concrete formulations by healing those materials without the need of an external and expensive maintenance operation. Self-protection: to minimize the failure occurrence in case of electrostatic charge accumulation or lightning impacts by discharging the voltage through the smart component