National / Regional Projects
We drive innovation through our participation in research projects in different national and regional programmes, as a basis for the continuous development of our technological lines and our offer to industry.
Development of an industrial process for repairing forging dies through metal deposition using laser and arc technologies. The project will enable the recovery of components with a service life equal to or greater than that of a new die, through material selection, definition of parameters, and validation of a functional demonstrator ready for application in an industrial production environment.
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.
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.
Development of new decision-making tools and remanufacturing technologies to extend the service life of wind energy components. The project combines expertise in materials, laser processes, and advanced inspection to develop and validate repair, enhancement, and certification solutions for critical components, reducing costs, minimizing technical risks, and facilitating industrial implementation.
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.
LASTER impulsa la competitividad industrial del País Vasco mediante tecnologías láser y digitalización. Desarrolla procesos avanzados como EHLA, corte y soldadura láser, y recuperación de componentes, integrando sistemas de control y monitorización para mejorar la estabilidad y eficiencia. Con cinco áreas de trabajo, desde la definición de especificaciones hasta la evaluación de soluciones, LASTER fomenta la fabricación de alto valor añadido, alineándose con los objetivos de sostenibilidad y digitalización.
The MADISON project, a continuation of CEFAM 2020-2022, aims to enhance participation in the additive manufacturing (AM) value chain. It addresses challenges in AM technologies applied to metals, promotes excellence in training, and attracts talent. It develops strategies for dynamization, transfer, and industrial protection to enhance results. Technically, it fabricates and simulates five materials (Ti64, Cu, Al, steels, and Ni alloys), improves AM technologies and material processability, designs non-destructive inspection methods, and analyzes the sustainability of the processes.
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.
El proyecto FUTURAMA busca aumentar la fiabilidad y autonomía de las máquinas de fabricación aditiva metálica por deposición de energía directa (DED), reduciendo la necesidad de supervisión constante. Para ello, desarrollará sensores avanzados, modelos de autoaprendizaje y herramientas de simulación que controlen variables críticas como la temperatura y geometría. Aplicado a sectores como el aeronáutico, petroquímico y ferroviario, el proyecto producirá componentes de gran tamaño sin desperdicio, apoyando la sostenibilidad y digitalización industrial de Euskadi y Europa.
Project that develops and validates an ecosystem of new digital technologies for the main processes of national shipyards in order to achieve their technological leap towards digitalization according to Industry 4.0 guidelines, positioning the national sector as a technological benchmark in the international context.