Industry.IN.NRW innovation competition

A coating for implants made of nickel-titanium materials (e.g. stents) is intended to prevent the release of ions and increase X-ray contrast. The results serve as the basis for new products and applications. They are intended to reduce risks for patients and the environment and comply with new legal regulations.

The aim of the project is to develop recyclable, halogen-free plastic powder with fire-retardant properties for 3D printing. To this end, a recycling-optimized plastic is to be combined with a process-stable flame retardant.

This project aims to optimize the production of high-precision optical components. The technological innovation of the project lies in the temporary separation of the temperature control of glass and mold. By using a special temperature control system during the heating phase, this can be reduced by up to 70 percent compared to previous technology.

New types of electrodes are being developed for electrolysis (anode) and fuel cells (cathode). The aim is to significantly increase the efficiency of green hydrogen production with a view to a climate-neutral economy.

The project is developing a process chain for the production of photocatalyst and anti-soiling films. The aim is to produce porous layers with the finest possible structure in order to increase the efficiency of hydrogen production during photocatalysis. Anti-soiling films, which prevent water and dirt particles from adhering to the surfaces of PV modules, make solar energy more efficient.

The aim of this project is to develop a system concept that makes it possible to apply wide weld seams with a constant height and powdered filler material to other materials more efficiently.

The project partners are working on making the formation of battery cells more efficient using digital methods. On the one hand, this should significantly reduce the time and energy required for treatment and, on the other hand, the quality of the cells should be graded directly as part of the data analysis.

The aim of the project is to create a framework for the decentralized development of artificial intelligence (AI) using digital twins and "fluid logistics" technologies (FL technologies)

The aim of the project is to develop a new type of process chain for the production of high-performance electronic components (e.g. LEDs) that eliminates the logistics steps previously required.

The project aims to produce novel acrylic glass (PMMA) from bio-based monomers using processes suitable for industry. Using fermentation processes in bioreactors, biotechnologically optimized organisms are to produce biogenic MA/MMA on a technically relevant scale for the first time. The aim is to demonstrate that bio-based PMMA has comparable properties to PMMA previously produced in chemical processes.

The project aims to contribute to the digitalization of existing production facilities along the value chain of a typical hot strip mill at ThyssenKrupp Steel Europe. With the development of a radar-based measurement technology for harsh environmental conditions, the aim is to achieve data quality and quantity for hot strip mills for the first time that allows artificial intelligence methods to be used to optimize production.

The aim of the project is to integrate an active element into a bolted connection that additionally secures the bolted connection in particularly critical applications (e.g. in the aviation sector).

The project aims to solve the disadvantages of the high sensor costs and the lack of reliability of previous optical terahertz technologies, which have so far prevented their widespread use. Integration into microchip technology is intended to create a robust and cost-effective fully electronic terahertz sensor for the first time.

The project aims to develop green business models in development based on green digital twins, i.e. digital twins that provide additional information on how much energy and how many resources are required to manufacture the respective component.

The project is developing a process chain for the large-scale production of energy-efficient, low-emission components made from innovative wrought zinc alloys. To this end, technologies are being developed to economically produce and process wires made from small-diameter zinc alloys.

The project aims to improve the production of paints and coatings using modern measurement methods. The aim is to develop and use optimized, in-process analytics in the adaptation of paint formulations using modern methods of data evaluation through to an in-depth potential analysis for the application of AI.

The project involves the development and construction of a continuous embossing and coil coating system on a demonstrator scale for the production of bipolar plates for PEM electrolysis. An initial concept for possible upscaling is also being considered.

The aim of the project is to reduce waste in the production of silicone seals. To this end, an AI-based component recognition system is to be developed that has a direct influence on the manufacturing process.

The aim of the project is to develop precious metal-free catalysts for AEM electrolysis, which will significantly reduce dependence on raw materials and costs. In addition, a suitable process is being developed to enable large-scale production of the new electrolysis components.

The project is developing a measuring system that can be directly integrated into machines for AI-based, real-time flame and gas analysis in heating furnaces. The measuring system enables optimized process control in the hydrogen-based production of metallic materials.

The aim of the project is to develop a system for the adaptive, non-destructive testing of fiber composites using AI-supported radar. As an example, the system will be designed for applications in the field of wind turbine rotors.

The aim of the project is to develop innovative trigger switches (e.g. for power tools) based on a super-elastic shape memory alloy. In addition, a production process is being developed that will enable trigger switches equipped with intelligent electronics to be manufactured competitively.

In the pyrolysis of plastics, the polymers are broken down into low-molecular hydrocarbons (pyrolysis oils) and fed back into the chemical industry as a raw material. In addition to pyrolysis oil, the aim of the project is to simultaneously produce by-products with a higher value, separate these from the pyrolysis process and utilize them as a product in a later stage of the chemical value chain.

The project aims to develop a process that makes it possible to produce large-format bipolar plates using an injection molding process. The focus of the development is the gas-tight welding of graphite-based cell inserts with plastic frames.

The aim of the project is to develop a self-optimizing system for scrap prevention and customer-oriented packaging in stamping and forming technology. This is to be realized through flexible post-processing and sensor-supported handling systems. The main aim is to counteract the scrapping of rejects in the production of formed metal components.

The aim of the project is to develop a quality assessment of the weld seam during laser transmission welding of polymers. Measured values determined during the process are evaluated with AI and the result is prepared for the machine operator.

The aim of the project is to integrate bionic structures into plastic containers in order to increase their stability and achieve savings in terms of material, energy and waste.

The project aims to develop and process a material for polymer-based conductor tracks. The material is to be used in dielectric waveguides for sensor and communication technology. By implementing a near-field sensor and a signal transmission line, the functionality of the new type of signal transmission, which does not require metals or rare earths, is to be demonstrated.

The aim of the project is to replace traditional cement-based binders and primary raw materials in steam-hardened building materials (aerated concrete, sand-lime bricks) with slags from steel production and sands from the processing of construction waste.

The RaDime project aims to implement a MIMO-based radar method that is capable of imaging a larger area of the rolled material compared to the state of the art (isotope radiation-based measuring systems) and thus also detecting waviness and skewing of the rolled material. AI-based methods should ensure that the system is highly reliable, especially when it comes to faults.

The project aims to develop and scale up the development of growth factors for the synthetic production of meat using the existing "Numaswitch" technology.

The project is driving forward the integration of graphene into CMOS semiconductor production. The focus is on the introduction of germanium as a cost-effective alternative to silicon for photonics in the infrared range, with the development of photonic circuits and graphene/germanium photodetectors being a central task.