IT for Engineering (it4e) GmbH Hall 8 / C28

IT for Engineering (it4e) GmbH is your partner for digitalizing especially fluid and particle processes.

With our simulation software DNSlab, you can generate models of porous filter media, calculate permeabilities, filtration efficiencies and lots more. DNSlab combines Computational Fluid Dynamics (CFD) with the Discrete Element Method (DEM). DNSlab novelties in 2024 are:
• increased CFD performance: analyze bigger 3D models with same memory
• improved models for CFD-DEM coupling: switch between hard sphere and soft sphere contact model
• new Python interface: integrate DNSlab computations in your python environment
The new Python interface enables you to customize the DNSlab pre- and postprocessing. You can now calculate fluid and particle flow with DNSlab through self-generated 3D models and analyze the results via python code. This enables faster integration of DNSlab in your individual simulation environment.

1½-Way CFD-DEM Coupling with DNSlab: 3D Simulation of Microscale Fuid-Particle Processes including Filter Cake Restructuring, Detachment and Re-Entrainment of Deposited Particles

By simulation, filtration processes and filter media can be analyzed, designed and optimized. The more precise the simulation reproduces the real process, the more predictive and meaningful are the simulation results.

1½-Way CFD-DEM Coupling is a new feature of DNSlab which allows to simulate microscale filtration processes including filter cake restructuring, detachment and re-entrainment of deposited particles. The method combines a high modeling depth with a low demand of computation resources. The consideration of detachment and re-entrainment effects is necessary in particular to model solid-liquid-separation processes, where higher viscous forces cause an increased occurrence of these effects.

As an example, Fig. 1 shows the simulated particle distribution in a microfiber nonwoven before (left) and after (right) backwashing, with a reduced particle load after backwashing caused by particle detachment.Fig. 2 shows the particle volume before and after backwashing as a function of the depth in the filter medium.