The aim of the project is to propose an innovative solution for situations in which vocational education becomes mandatory in distance in both schools and companies in crisis situations such as Covid19. Thus, in cases where vocational education cannot be done face to face, an innovative method will be developed with this project to increase students' participation and learning motivation during distance teaching. As a result of the synchronized online vocational education model to be developed with the project, students will make learning permanent by performing less practical applications in the workshop environment. Therefore, practical training time will be shortened, less energy and material will be consumed. Companies involved in the project will be able to use the method to be developed effectively in their training and remote repair maintenance processes. Consequently, the technical and digital skills of the vocational students will be able to improve in crisis times. The digital qualifications of the vocational teachers will be developed during the project activities. A report outlining guidelines to encourage effective digital training methods, including examples of good practices, recommendations, guidelines, and an AR training model developed. A range of training modules will be produced, giving generic digital learning advice and guidance through to the development of technical skills to create digital content suitable for use with immersive technologies. This piece of work will also include the delivery of training. Digital content will be created to help innovate the delivery of curriculum for training in operating CNC machines. This will make delivery of that curriculum more innovative and in the on-going pandemic situation, will act as an exemplar that could be used for similar developments in other curriculum areas. The project will develop a framework for organizing the assessment of digital learning environments in a standardized way in vocational education (VET), to fit scenarios where traditional face-to-face exams. A final output end of the project will be an example of teaching material for AR-based digital education platforms, including digital training content, application videos, AR applications, and online assessment tools. The project will expect to develop: - Improving the quality of vocational education using AR technology - Enhancing the learning motivation and interaction of students, - Promoting career development through intercultural learning - Increasing the participants' motivation to learn - Developing the foreign language skills of the participants - Development of cooperation between universities, industrial organizations, and vocational education institutions in the European dimension. - Development of digital teaching materials based on AR technology within international education standards.

DIAMETER aims to facilitate the implementation of a circular economy within the metal manufacturing sector through the development of hybrid manufacturing systems based on additive manufacturing. The Consortium will develop a set of digital tools to improve the design, optimise the manufacturing process and ease the implementation of circularity strategies (remanufacturing, refurbishing, repairing and recycling) by the additive manufacturing industry. To support those tools, we will develop a novel AI-assisted algorithm able to calculate both the ecological and economic impacts of a process to assess its sustainability. This AI-assisted algorithm will rely on experimental data, from process monitoring and part characterisations, and process simulation, covering pre-processing machining, additive manufacturing and post-processing machining. We will integrate these tools into a first platform, called DIAgonal, to facilitate the uptake by the industry. The platform will integrate the European Digital Product Passport by enabling the use of supplier data for more accurate ecological impact estimations and allowing the upload of experimental data to enrich product transparency on origin, materials, and recyclability. We will develop a second platform, DIAdemia, to support the upskilling of the workforce through interactive training courses, workshops, and exercises. Overall, DIAMETER will contribute to reducing the manufacturing sector's carbon footprint, enhancing recycling, developing a greener Industry 4.0 and promoting local production.

The aerospace industry faces significant challenges in bringing new aircraft designs to market, as this concerns a complex certification process that relies heavily on expensive and time-consuming physical tests based on a pyramidal framework (from base to top: material, coupon, element, aerostructure). This approach has notable drawbacks, including a lack of insight into how changes at one level impact the overall aerostructure performance and the need to repeat much of the certification process if changes are made at distant levels. To address these challenges, the pAIramid project proposes a revolutionary approach based on high-fidelity virtual tests interconnected across the different levels of the certification pyramid. A digital tool is being created, which works by leveraging data-driven simulation methods and Artificial Intelligence (AI), aiming to optimize the certification process, reducing computational time, and promoting fast decision-making. This AI-driven hybrid pyramid approach breaks down barriers between different testing levels, easing knowledge transfer and faster design iterations. The pAIramid project is completed with several industrial demonstrators, which will help to check the proper performance of the digital tool while proving that it is able to effectively bring in new solutions to the aerostructures’ field. Four different use cases, all of them focused on advancing technologies related to composites’ properties (functionalized thermosets and thermoplastics) and manufacturing processes (one-shot LRI and FDM with continuous fiber reinforcement) are analyzed. All of them will be matured up to TRL4, counting with relevant collaboration of RTOs and industrial partners, which give these technologies the potential to be deployed in the market in the coming years, as well as representing valuable information for the tool learning, which will continue growing thanks to already existing and newly created data, while spreading in the market.