Modeling
At the LRF, we develop models to describe complex reactive multiphase processes that are specifically designed to address concrete questions in the areas of scale-up, conceptual process development, and new equipment. In this way, we lay the groundwork for reliably scaling up processes, evaluating new process concepts, and predicting the performance of new materials and components.
Modeling Projects
Reaction Mixing Pump: A Novel Reactor for Mixing-Sensitive Reactions
Using fluid dynamics, reactor, and micromixing models, we describe the complex processes occurring within the reaction-mixing pump. The resulting simulation tool highlights the impact of local mixing on rapid reactions and supports design and scale-up.
Jet Loop Reactors
By combining CFD, LBM, and 1D models, we simulate the hydrodynamics and reaction processes in jet-loop reactors at various levels of detail. Experimental data are used for validation and provide a robust basis for design, optimization, and scale-up.
Direct Air Capture
Using an absorber model, we simulate CO₂ separation in air contactors. This allows us to investigate factors that influence the absorption process and derive targeted approaches for more efficient direct air capture technology.
Data2Value: Explainable, Inline Image-Based Monitoring for Robust Batch Crystallization
A digital twin with population balance and deep neural network models links image, process, and context data. This creates an explainable early-warning system that detects process deviations and provides well-founded hypotheses about their causes.
