From Research to Application: Projects at Fraunhofer EMFT

Move2THz is an EU-funded research project to develop an innovative InP-on-silicon platform for energy-efficient sub-THz semiconductor technology. The aim is to strengthen Europe's technological leadership in 6G, radar, imaging, and photonics.

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.

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.

The APECS pilot line aims to be Europe’s leading platform for advanced packaging and heterogeneous integration, driving next-generation integrated systems.

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.

By 2030, global semiconductor production is expected to be almost twice as high as it is today. To mitigate the negative environmental impact, 58 European partners in the EU GENESIS project have set themselves the goal of developing more environmentally friendly materials and processes in the semiconductor industry. As part of the project, Fraunhofer EMFT researchers are working on optimizing exhaust gas purification methods and increasing the efficiency and environmental sustainability of production processes.

Diabetes is one of the most prevalent diseases of civilization. Around 15-25% of patients develop diabetic foot syndrome during the progression of the disease: nerve damage and circulatory disorders, particularly in the feet. As those affected have a reduced or no sensation of pain in their feet, pressure points, blisters or cuts often form unnoticed, which can result in an open ulcer if not treated in time. In future, a patch with integrated sensor technology should help to detect critical conditions and the need for treatment at an early stage.

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.

Aquaplaning and black ice turn streets into dangerous slides, which often leads to serious accidents. Within the framework of the high-performance center »secure intelligent systems« (LZSiS), Fraunhofer EMFT and Uedelhoven Studios are working together on a solution to the problem. A real-time warning system shall identify the potential danger due to water or ice on the road surface, thus enabling a predictive detection of the road conditions. Such an early warning system would increase the road safety for all traffic participants.

In the QuQuSemi project, a Fraunhofer EMFT research team is working together with Quantum Diamonds and the Technical University of Munich on a high-resolution microscope based on diamond-based quantum sensors that is specially designed for analyzing semiconductor components. With a spatial resolution of just 100 nanometers at room temperature, it aims to enable the precise measurement of the smallest magnetic fields and temperature differences.