From sensors and trajectories to transport and mixing (B05)

• Subject Area: Statistical Physics, Nonlinear Dynamics, Complex Systems, Soft and Fluid Matter, Biological Physics ; Energy Process Engineering
• Term: since 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 503850735

This project aims to understand Lagrangian transport and mixing of substrates in reactors to prevent zones of poor mixing and to tailor the mixing process. 3D Lagrangian particle tracking measurements and decolorization experiments are conducted resulting in highly resolved Lagrangian data and mixing time distributions for different classical reactor types. Novel computational Lagrangian methods allow us to extract transient transport patterns, i.e. moving volumes with certain mixing abilities from these data sets. Finally, measurements and analysis are extended to structured reactors and to the context of trajectories of Lagrangian sensors that do not exactly follow the flow.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1615: SMART Reactors for Future Process Engineering
• Applicant Institution: Technische Universität Hamburg
• Project Heads: Professorin Dr. Alexandra von Kameke; Professorin Dr. Kathrin Padberg-Gehle