The innovative FDmiX mixers offer outstanding performance for the rapid mixing of liquids . This technology is used on a very small scale in the production of nanoparticles, which are used for mRNA vaccines, for example. A major challenge here is the experimental investigation of the processes in the micromixer. The combination of simple flow visualizations with innovative machine learning offers great potential to solve this problem . In turbulent flows, these so-called physics-informed neural networks (PINN) can already achieve very good results . In the present project, their application for turbulent mixing processes is to be tested. The work is part of a cooperation between the company FDX, the TU Berlin and the University of Calgary. This offers the opportunity to gain an insight into current research in industry and university and to supplement the work with a stay abroad.
The complete tender is here.