From Research to Application: Projects at Fraunhofer EMFT

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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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  • 2 Pin Tester
    © Fraunhofer EMFT/ Bernd Müller

    2 Pin Tester

    The semiconductor industry and manufacturers of electronic components and systems test their products carefully to ensure that they function flawlessly. An important aspect is the tolerance of chips to ESD (electrostatic discharge). Fraunhofer EMFT and High Power Pulse Instruments GmbH (HPPI) have jointly developed a 2-pin test system that offers many advantages to the semiconductor industry.

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  • © MEV-Verlag

    In areas where personal or security-critical data is processed in particular – such as medical technology, autonomous driving and critical infrastructures – trustworthy electronic ICT components and systems are becoming increasingly important as digitalization gathers pace. Researchers at Fraunhofer EMFT primarily focus on the hardware level here.

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  • Fraunhofer EMFT JFET
    © Fraunhofer EMFT/ Bernd Müller

    Fraunhofer EMFT JFET

    How can supply chains for the chip industry become more independent and better protected? The coronavirus pandemic in particular has highlighted the problems for Germany and Europe. In the "Semiconductor-X" research project on the digitalization of supply chains in the semiconductor industry, Fraunhofer EMFT is working with over 20 partners to make supply chains more sustainable and resilient and to promote decentralized, sovereign data exchange.

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  • © 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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  • Predictive Maintence through AI
    © Pixabay/ Bru-nO

    Industriemaschinen

    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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  • Predictive maintenance of gear oils
    © Вячеслав Козырев - stock.adobe.com

    Predictive maintenance of gear oils

    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

    AI-Powered Predictive Maintenance in Manufacturing
    © Unsplash/ L. Kumar

    AI-Powered Predictive Maintenance in Manufacturing

    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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  • Virtual-Reality-system with scents for deployment training
    © Fraunhofer EMFT

    Virtual-Reality-system with scents for deployment training

    Safety First! - Is the motto of the "StressScent III" project, in which researchers from Fraunhofer EMFT, in collaboration with the University of the Bundeswehr Munich, have developed a Virtual Reality System (VR System) which uses realistic and immersive training to better prepare rescue and emergency personnel for sometimes dangerous missions and stressful situations and thus contribute to a safer working life. Through realistic training engaging all senses, real-world situations can be simulated more accurately, thus contributing to a safer work life. The goal of the project is to develop a scent dosing system adapted to an existing VR headset for practical application.

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  • Leading IP Blocks for Europe's Next-Gen FDSOI

    Fraunhofer EMFT brings ultra-low-power analog expertise to the SOIL Project

    Neuromorphic Chips
    © Fraunhofer EMFT/ Bernd Müller

    Neuromorphic Chips

    Within the SOIL project, Fraunhofer EMFT develops FDSOI IP blocks to boost Europe's next-generation chipindustry.

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  • SENNA Connect - a developer kit for spiking neural networks

    Test spiking neural networks on real neuromorphic hardware

    Spiking Neural Networks (SNN)
    © Fraunhofer EMFT / Elisa Göbel

    Spiking Neural Networks (SNN) for a neuromorphic processor

    SENNA Connect develops a developer kit for the SENNA neuromorphic processor, so you can run spiking neural networks on real hardware instead of in simulation.

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  • Chip Foil Package
    © Fraunhofer EMFT

    Example of a chip foil package. The CFP project is developing new processes for the manufacture of ultra-thin, flexible chip packages.

    In the CFP project, Fraunhofer EMFT, Fraunhofer IZM, and Yamagata University are developing novel chip foil packages for flexible electronics. Together, they are working on materials, interconnection technologies, and an end-to-end process chain to reliably integrate electronic functions into soft, curved, or flexible surfaces. The goal is to create chip foil packages less than 150 micrometers thick that can be manufactured efficiently and sustainably in high volumes and used in medicine, industry, mobility, and other fields of application.

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  • © Fraunhofer EMFT

    Shielded flexible superconducting interconnections with more than 80 signal lines per inch

    With the foundation of Munich Quantum Valley (MQV) in 2022, seven leading research institutions in Bavaria, including the Fraunhofer Gesellschaft, have committed themselves to an ambitious goal: Building the first German quantum computer with up to 1000 qubits “made in Bavaria”. The partners are working on realizing full-stack quantum-computer demonstrators, remotely accessible to researchers and industry. Within this framework, Fraunhofer EMFT researchers are contributing their engineering expertise to enable scaling and industrialization of the qubit platform based on superconducting qubits.

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