From Research to Application: Projects at Fraunhofer EMFT

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  • Industrieroboter mit radarbasiertem Kollisionsschutz
    © Pugun & Photo Studio - stock.adobe.com

    The technology is already state of the art in modern cars: radar sensors that alert the driver when the vehicle is approaching an obstacle. Collision protection of this kind is also crucial in the future of production - smart factories in which intelligent industrial robots are expected to act completely autonomously in an increasing number of work steps - in order to ensure safe cooperation between man and machine. In the RoboMove project, Fraunhofer EMFT is working with robotics manufacturer KUKA and InnoSenT GmbH to develop an intelligent 3D distance measurement and obstacle detection system for robot arms in motion.

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  • Industriemaschinen
    © Pixabay/ Bru-nO

    The DigiSeal research project is setting new standards in the predictive maintenance of mechanical seals, which are essential for many branches of industry. By using informed AI and the expertise of Fraunhofer EMFT, precise models are being developed that not only predict maintenance requirements, but also provide specific recommendations for action. Together with partners such as EagleBurgmann Germany GmbH & Co. KG, Molkerei Alois Müller GmbH & Co. KG and Munich University of Applied Sciences, digitalization in the industry is being driven forward and a significant contribution is being made to Industry 4.0.

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  • Vorausschauende Wartung von Getriebeölen
    © Вячеслав Козырев - stock.adobe.com

    Gear oils make a significant contribution to minimising friction and thus ensure the safe operation of production facilities. In the Smart Gear project, researchers at Fraunhofer EMFT are developing solutions to detect a drop in the performance of gear oils with the help of sensor technology and machine learning methods and to predict when the oil needs to be changed.

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  • AI-Powered Predictive Maintenance for Manufacturing

    Project KIWA: Machine Learning for Zero Downtime in Production

    KI-basierte Anlagenwartung in der Fertigung
    © Unsplash/ L. Kumar

    The aim of predictive maintenance is to maintain operating resources proactively and with foresight. This should reduce downtime and maintenance costs to a minimum. Researchers at Fraunhofer EMFT are testing new concepts that use machine learning methods to efficiently process even extremely heterogeneous data and make accurate maintenance predictions for production facilities.

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  • Control of soldered connection
    © Fraunhofer EMFT/ Bernd Müller

    Control of soldered connection

    Microrelative movements can lead to crack formation and crack growth in press-fit connections. Together with the Institute of Materials Engineering and the Institute of Drive and Vehicle Technology, both at the University of Kassel, Fraunhofer EMFT researchers are working on a suitable accelerating model to better understand how these undesirable effects occur.

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  • PCB with a press-fit connection.

    Investigation and simulation of the damage behaviour of press-fit joints due to mechanical and thermal loads.

    Press-fit technology provides an innovative connection method which, due to its high reliability and robustness, is particularly suitable for safety-relevant connection points. Another advantage is that the method is much more eco-friendly than the soldering technique most commonly used to date. A Fraunhofer EMFT research team is working on a predictive model that relates easily accessible material/process data to the reliability of press-fit contacts.

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  • © Fraunhofer EMFT

    The Mobile Learning Hub provides a fully equipped soldering workstation on wheels.

    With the Soldering Mobile, the Center for Interconnection Technology in Electronics ZVE at Fraunhofer EMFT is now offering its customers an attractive alternative to onsite training courses at the Oberpfaffenhofen training center. The soldering station on wheels can be put into operation directly at the customer's premises using plug & play.

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  • Intelligent PCB connector
    © Fraunhofer EMFT/ Bernd Müller

    Wireless intelligent PCB connector for continuous measurement of contact temperature and individual contact current load, providing key data for predictive maintenance

    Whether in automobiles – especially in the context of autonomous driving – or future industrial manufacturing: plugs and electrical connection technologies have a key role to play in digital networking. They are the main interface between machines, control units and data processing systems and so they provide the basis for the functionality, simple handling and reliability of automation technology.

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  • PCB direct contact

    X-ray image of a PCB direct contact

    In the PCB direct contacting research project (T-1753), Fraunhofer EMFT investigated PCB direct contacting systems for highly reliable mechatronic and drive technology applications. The aim was to evaluate commercially available systems in terms of technical performance, reliability and economic suitability under realistic environmental and stress conditions.

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  • Velektronik

    Velektronik

    The research project »Velektronik - Vertrauenswürdige Elektronik (ZEUS)« of the German Federal Ministry for Education and Research (BMBF), aims to establish a networking platform for trusted electronics as an interface between research and industry.

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