Projects

The projects we work on and those we have completed are the best references for our research work. Fraunhofer SCAI is involved in numerous projects funded by the German Federal Government and the European Commission. The list below presents the projects chronologically – new projects first. You can sort the list by selecting categories.

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  • DeployAI

    EU-Project / Project start / January 01, 2024

    The DeployAI project aims to build and operate a European AI on Demand Platform (AIoDP). To this end, DeployAI brings together industry representatives and research institutions. The aim is to provide trustworthy, ethical, and transparent European AI solutions for use in industry – especially small and medium enterprises – and the public sector.

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  • Remanufacturing boosts circular economies and job creation. RESTORE enhances this with sustainable processes and materials. It merges advanced technologies for better remanufacturing applications. The RESTORE platform will digitize and streamline the remanufacturing process. Fraunhofer SCAI standardizes data for remanufacturing efficiency.

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  • ALABAMA – Adaptive Laser Beam for Additive Manufacturing

    EU-Project / Project start / January 01, 2024

    The ALABAMA project aims to develop and mature adaptive laser technologies for AM. The objective is to decrease the porosity and tailor the deposited material's microstructure by shaping the laser beam, both temporally and spatially, during the AM process. The key innovations in the project are the development of multiscale physics-based models to optimize the AM process.

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  • Recent years have seen an explosion in health data generation from diverse sources. This data has the potential to help advance both research and patient care. However, accessing, integrating, and analyzing it is exceptionally challenging. IDERHA aims to set up an open platform that will facilitate the integration and analysis of diverse types of health data. The platform will link up multiple public and private data sources and implement interoperable tools and services to enable key groups, such as doctors, patients, and researchers, to use the data. To focus their efforts, the IDERHA team will use lung cancer as a use case to design the platform.

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  • © EXCELLERAT

    A further increase in the performance of supercomputers is expected over the next few years. So-called exascale computers will then be able to deliver more accurate simulation results. Fraunhofer SCAI is developing efficient data analysis methods for the much larger amounts of data generated in this way, which will also provide the engineer with detailed insights into the complex technical interrelationships.

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  • Pioneer – open Innovation platform for optimizing production systems

    EU-Project / Project start / January 01, 2023

    PIONEER aims to develop and implement an interoperable material modeling and manufacturing ecosystem that enables multi-directional data flow along the material value chain by linking product design and distributed modeling data with information from material characterization, manufacturing processes, and product quality criteria. PIONEER combines a design-by-simulation approach with manufacturing and quality data to optimize product development strategies in high-mix/low-volume production systems.

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