Development of additive manufacturing for high performance materials, replacing nickel alloys in aeronautics. Objectives include obtaining dense parts by PBF-LB, applying specific heat treatments, adapting design with DfAM concepts, ensuring quality with monitoring, and validating parts with inspections. Additive Manufacturing solves problems associated with microfusion, simplifying processes and reducing rejects caused by deformation.

Digitalisation of a tube manufacturing line for product quality monitoring and improvement. Key process variables such as temperature and forming pressure will be obtained. The quality of the current sensor system will be assessed and additional sensors for deeper understanding will be considered. Data will be integrated into a digital platform for real-time monitoring and history log access. This project will facilitate the identification of manufacturing patterns, detecting improvements and accurate process optimisation.

The project aims to develop a swift, reliable human-oriented quality control solution for timely defect detection in composite processes. It determines in-situ corrective actions, striving for a zero-defect LRI manufacturing process, reducing polymer composites waste. Results will be tested and demonstrated in two industrial cases (yacht part and wing box).

Creation of a network of excellence in AM, integrating the capabilities of four centres of the consortium. It covers the value chain of metal additive manufacturing: design, production, processing, post-processing and advanced testing. It addresses a wide range of metals with SLM, LMD, EBM and WAAM technologies. It studies the integration of Femtosecond lasers. The project excels at training and talent attraction/ the programme's forte is training and talent attraction. AIDIMME, CEIT, FADA-CATEC and LORTEK are designated "Cervera Centre of Excellence" in Additive Manufacturing and receive support from CDTI.

To implement an inspection system for thermocouples and magnetic groups in Orkli’s Gas Safety range, critical components that require rigorous quality control. Traditionally, this inspection was performed visually by operators, a labor-intensive process due to the small size of the parts and the high production volume.

Renault España lidera este innovador proyecto para la creación de un ecosistema industrial centrado en la fabricación de vehículos eléctricos y conectados aglutinando 31 iniciativas entorno a la descarbonización, la conectividad y la movilidad como servicio.

The project addresses the need to lighten structures through the welding of aluminum and steel components. The solution involves designing and manufacturing structures using bimetallic materials with explosion welding, arc welding, and Friction Stir Welding (FSW). LORTEK contributes by developing the FSW process, including tools and specific parameters, in collaboration with CAF R&D.

INDatIA impulsa el uso de datos e inteligencia artificial en la industria, desarrollando soluciones para optimizar procesos productivos mediante la hibridación en tiempo real del mundo físico y virtual. El proyecto busca mejorar la eficiencia, sostenibilidad y competitividad industrial a través de nuevas técnicas de captación y análisis de datos, apoyando la transición hacia la fábrica inteligente del futuro.

In the life cycle of high-value products or parts, defects arise and need to be repaired. Geometric complexity leads to costly and time-consuming manual operations. The aim is to automatise and optimise material deposition operations to improve efficiency and reduce costs.

WAVETAILOR intends to create a highly intelligent, flexible and reconfigurable laser-based additive manufacturing processes to overcome the current weaknesses in manufacturing geometrically complex multi-material components and assemblies by additive manufacturing. This will provide material savings, increase overall equipment efficiency and minimize defects.