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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  • CAM2030 – Computer-aided planning of manufacturing processes

    BMBF-project / Project start / October 01, 2020

    Computer Aided Manufacturing (CAM) systems enable computer-aided planning of manufacturing processes. CAM software is used to create the control code for Computerized Numerical Control (CNC) machine tools.The CAM2030 project aims to develop a new generation of CAM systems characterized by reduced planning effort, optimized process planning and long-term knowledge acquisition and retention. To this end, the project uses user-centric enrichment of CAM systems with novel digital optimization tools – such as evolutionary algorithms, cloud computing and artificial intelligence.

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  • ManuBrain – Universal, scalable AI-platform for industrial applications

    EU-project / Project start / January 01, 2020

    In the "ManuBrain" project, a universal, scalable, and open platform for artificial intelligence applications in medium-sized industrial companies is being developed. The state of North Rhine-Westphalia and the European Fund for Regional Development are supporting the project over three years with a total of 1.8 million euros. Fraunhofer SCAI develops and evaluates machine learning methods for engineering applications.the further development of procedures.

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  • KI Lernlabor – Entering and further training in artificial intelligence

    BMBF-project / Project start / November 01, 2019

    The "Artificial Intelligence Learning Lab" is being set up at the Fraunhofer Institute Center Schloss Birlinghoven in Sankt Augustin. It supports small and medium-sized enterprises (SMEs) in particular in getting started in artificial intelligence (AI), learning about concrete applications, and qualifying employees.

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  • ViPrIA – Virtual Product Development Using Intelligent Assistance Systems

    BMBF-project / Project start / October 01, 2019

    © Fraunhofer SCAI

    The goal of the project ViPrIA is the development of intelligent assistance systems based on artificial intelligence and machine learning approaches to support engineers in simulation-based, virtual product development. With the help of intelligent assistance functions, calculation engineers are to be supported in the development process with complex decisions and relieved of routine tasks.

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    Project start / January 01, 2019

    © Fraunhofer IPT

    The big vision of Industry 4.0 is the automatic adaptation of production processes to rapidly changing requirements. The new Fraunhofer Leitprojekt EVOLOPRO wants to come a step closer to this vision. The project is part of the Fraunhofer initiative "Biological Transformation". Starting in 2019, seven institutes will jointly investigate how developmental and evolutionary biological principles can be transferred to man-made production processes. Transfer and multi-task learning play an important role here - as well as the concept of so-called "digital twins". Biology is the great role model for the work in EVOLPRO and provides important impulses for the further development of procedures.

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    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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  • MathEnergy – Mathematical Key Technologies for Energy Networks

    BMWi-project / Project start / October 01, 2016

    Logo MathEnergy

    The project MathEnergy develops mathematical aproaches to tackle the challenges which arise in the context of the energy turnaround. In order to adapt the workload and the expansion of the energy networks, offers and demands have to be adjusted and flexibilities among the energy sources have to be utilized. For this purpose, network-transcending models and model-based monitoring, controlling and evaluation concepts are developed. The goal is to develop a software package for hierarchical complex network models which supports stochastically varying input data and workflows for the integrated simulation and analysis of network-transcendent scenarios of the energy supply with power and gas.

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  • Fortissimo und Fortissimo 2

    EU-project / Project start / November 01, 2015

    Logo Fortissimo

    Fortissimo and Fortissimo 2 are collaborative projects that enable European SMEs to be more competitive globally through the use of simulation services running on a High Performance Computing cloud infrastructure.

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