This proposal addresses “Topic 03: Aircraft Systems” of the SESAR ER RPAS call. Drones appear in a large variety of types, configurations and sizes. They are operated in a large variety of operational environments (i.e. locations, classes of airspace). However, it is essential that they interoperate with other drones as well as with manned aircraft. This proposal addresses the on-board technologies for drones that are required in order to implement the Unmanned Traffic Management (UTM) concept for drone operations at Very Low Level (VLL) and within the Visual Flight Rules (VFR) environment. The project will cover Detect And Avoid (D&A) systems for cooperative and non-cooperative traffic, auto-pilot systems as well as Communication, Navigation and Surveillance (CNS) systems. This project will identify the available CNS infrastructure and on-board technologies to formulate an implementation approach. Based on this an on-board system concept will be developed and evaluated.

The reduction of manufacturing waste is a key challenge to achieve a EuropThe reduction of manufacturing waste is a key challenge to achieve a European transition towards climate neutrality and the goals of the Green Deal. In this context, to achieve the zero-defect manufacturing paradigm has becomes a must for those European productive companies that wants to take the step towards sustainable production. Composites play an important role in strategic European manufacturing sectors like energy, aerospace, naval or automotive, with a growing forecast. So, FLASH-COMP project will develop a human-oriented solution, capable of identifying in an early-manner feasible defectiveness in composite parts manufacturing and to determine if corrective actions should be adopted. All with the ultimate goal of optimizing the composite manufacturing process, reaching zero-defects and consequently, reducing the generation of waste ?process and product associated. FLASH-COMP will develop non-destructive inspection and monitoring instruments to retrieve key process parameters. Will develop an on-line Defect Severity Estimation Tool that will predict the appearance of defects and will estimate their severity to suggest the optimum Feedback and Feedforward control strategies. And will develop a decision support system. In addition, an interoperable software platform for data-sharing will be created. The full FLASH-COMP solution will be demonstrated in a test bed, enabling the experimental validation of the FLASH-COMP concept, and 2 industrial use cases, assuring its future replicability, and paving the way for a future exploitation of results. FLASH-COMP will include a complete skills development training program since the FLASH-COMP solution has been conceived to assist the operator in controlling and making decisions about the manufacturing process. Finally, the project will deal with the development of a standardization roadmap, to ensure the widest possible impact of project results