Trajectory based Analysis and visualisation of coherent flow structures in stirred tank reactors

Description

The analysis and quantification of fluid transport and mixing in chemical reactors is of great interest in order to avoid dead zones and to control heterogeneities in concentration distributions. From a Lagrangian perspective, coherent flow structures play a central role in this context. In the past few years, different computational methods have been developed to identify such finite-time coherent sets directly from trajectories of fluid particles. Such type of trajectory data is obtained via numerical simulations or lab experiments (e.g. by time-resolved particle tracking (4D-PTV) or by Lagrangian sensors).

In this contribution, we demonstrate the application of different trajectory-based approaches for the identification of coherent flow structures in stirred tank reactors. For this purpose, several recently proposed methods, such as spectral clustering of trajectories [1,2] or single-trajectory diagnostics [3] have been implemented in Python to improve performance and facilitate embedding.

Period	01.08.2024
Event title	XLIV Dynamics Days Europe
Event type	Conference
Location	Bremen, Germany, BremenShow on map
Degree of Recognition	International