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Month: September 2024

OpenLB Community YouTube Channel Update

We have just released a new video on our OpenLB YouTube Channel:

Partcile Swarm Settling Behavior Spheres and Cubes Using Lattice Boltzmann Methods and OpenLB

This video presents a detailed comparison of the swarm settling (or hindered settling) behavior of volume-equivalent spheres and cubes. The simulation is fully resolved and four-way coupled, showing the dynamic behavior of 1934 particles within a triple periodic domain measuring 15D x 15D x 15D, where D = 3 mm is the diameter of the spheres. The particle volume fraction is approximately 30% and the Archimedes number is set to 2000.

Observations from the video

  • Shape matters: Particle shape has a significant effect on the suspension dynamics.
  • Average settling velocity: Cubes settle on average approximately 24% slower than the volume-equivalent spheres.
  • Clustering: Spheres have a higher tendency to form clusters than cubes.

The simulations were performed with OpenLB using 152 cores (Intel Xeon Platinum 8368 CPU) and both simulations together took less than 13 hours to complete.

Further details and in-depth analysis can be found in the corresponding publications [1, 2].

[1]: J. E. Marquardt, N. Hafen, and M. J. Krause, “A novel model for direct numerical simulation of suspension dynamics with arbitrarily shaped convex particles,” Computer Physics Communications, vol. 304, p. 109321, 2024, doi: 10.1016/j.cpc.2024.109321.

[2]: J. E. Marquardt, N. Hafen, and M. J. Krause, “A novel particle decomposition scheme to improve parallel performance of fully resolved particulate flow simulations,” Journal of Computational Science, vol. 78, p. 102263, 2024, doi: https://doi.org/10.1016/j.jocs.2024.1….

For further information please visit the associated show case: Particle Swarm Sedimentation