Projects at a glance

Research and Development for Industry#

In this overview, you will find detailed information about our research and development projects that we carry out together with industry or with partners from the scientific community.

We receive funding, for example, from the European Union, from various german federal ministries, as well as from state ministries in North Rhine-Westphalia. In this context, we work closely with major german research funding institutions. You can also find projects that we are working on within internal programs of the Fraunhofer-Gesellschaft or in the context of industrial cooperations.

For your search, you can select any search terms and limit the search period to the duration of the projects. Our respective contact persons will be happy to provide you with further information.

  • The goal of the "CAMWear 2.0" project is to develop an AI-based "operator empowerment" system. This decision support system is intended to relieve users by automatically recording and evaluating the wear condition of cutting tools. As a result, the use of tools can be optimized, the economic efficiency of metal-cutting production can be increased, and resource consumption can be reduced.

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  • Patients who have lost their breasts due to breast cancer or another serious illness can have them permanently and cosmetically inconspicuously reconstructed with the help of implants. However, the silicone implants commonly used today often provoke defensive reactions from the body and, in the worst case, can even tear. Together with BellaSeno GmbH, the Fraunhofer Institute for Production Technology IPT is therefore developing an automated production system for breast implants made of a polymer structure that enables breast reconstruction from the patients' own tissue.

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  • The intelligent sensor-actuator tool system enables reproducible production processes suitable for series production for the holistic precision machining of complex curved free-form components. The technology, which is being developed and implemented in the project, is to be used in various industries such as tool and mold making, the automotive industry, turbo machinery manufacturing, optics and medical technology.

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  • Fuel cell technology is regarded as one of the key technologies in the energy revolution. The aim of the CoBiP project is to develop a production technology suitable for continuous manufacture of bipolar plates, one of the central components of a fuel cell.

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  • 5G-Comet – Control over Time Sensitive Network

    NRW Project / Project start / January 01, 2021

    Together with partners from the fields of mechanical engineering, network technology and robotics, the Fraunhofer IPT is now developing an end-to-end real-time capable communication infrastructure based on 5G and Time Sensitive Networking (TSN) in the 5G-Comet project.

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  • For individual cell therapies, clinicians today often use so-called induced pluripotent stem cells, which are obtained from the body tissue of the respective patient. These cells can be differentiated into various types of tissue so that, for example, side effects can be tested and, in the best case, ruled out in advance through upstream drug tests on a patient's cell culture. However, the manual production of tissue samples is still associated with high costs. Fraunhofer researchers from Aachen are now developing a microscope that can be used to automate the entire cell production process: from settling the cells to selecting the appropriate cell culture.

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  • AMB2S – Additive Manufactured BLISK to Sky

    BMWi Project / September 01, 2020

    The underlying objectives of the funding programme are achieved by using the Laser Powder Bed Fusion (LPBF) process within the manufacturing process chain for engine components.

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  • AIxCell – Deep Learning Cell Culture Analysis Tool

    EU-project / Projectstart  / September 01, 2020

    The research project "AIxCell" and the project-accompanying consortium, consisting of representatives of university hospitals and companies from the fields of IT, optics and medical technology, are dedicated to the development of a Deep Learning-based, automated analysis of biomedical image data.

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