Rotational dynamic filtration is a promising filtration technology, which shows the potential to enable microfiltration in food and bioprocess. The permeability and productivity is considerably increased by allowing filtration at high solid concentrations. Under normal operation conditions, the variability in biological feed material makes evaluation of the mechanisms controlling filtration performance difficult.
As a way to improve the understanding of dynamic filtration an investigation of a rotational dynamic filtration system with well-defined particles, e.g. glass beads, was conducted. In these experiments, different process conditions and particle mixtures were surveyed to establish a solid data set.
Based on the collected experimental data a set of mechanistic properties for the system was derived. In order to expose the identified effects a computational fluid dynamic model, capable of mimicking the experimental data, has been built by incorporating the mechanistic properties. The resulting computational fluid dynamic model can subsequently be used to predict the behavior of the experimental system.
Session: M3 - Cross Flow Techniques
Day: 14 March 2018
Time: 13:00 - 14:15 h