Release 1.3 Available. The OpenLB developer team is very happy to announce that a new release of the open source Lattice Boltzmann Method (LBM) code is available for download as well as a new doxygen documentation. Have a look and be excited!
multiComponent/contactAngle2d and multiComponent/contactAngle3d
multiComponent/youngLaplace2d and multiComponent/youngLaplace3d
Minor improvements and developer notes:
Restructure example folder
Restructure and improve functors
New std::shared_ptr-based functor arithmetic to ease memory management and enable functor composition
Convenient relative and absolute Lp error norm functors
Bug fixed in GnuPlotWriter
C++ 14 standard is now mandatory
Compatibility tested on:
macOS Mojave (10.14.4): clang-1001.0.46.4
Debian WSL: GCC 6.3.0
Intel 18.0.3, 19.0.0
GCC 5.4.0, 6.5.0, 7.3.0, 8.2.0
OpenMPI 1.8 and higher, Intel MPI 5.0 and higher
PS: Please consider joining the developer team, by contributing your code and strengthen the LB community by sharing your research in an open and reproducible way! Feel free to contact us here: Contact
How to constantly clean paint from iron particles?
In the painting lines in the automotive industry, iron particles that reside in paint of a previous production step like tiny welding beads can lead to optical errors in the lacquering of cars. To prevent problems caused by these inclusions, magnetic separators are used to continuously remove the metallic particles from the liquid paint.
Inside the magnetic separator, a static magnetic field is generated by permanent magnets. The magnetic forces attract the metallic particles towards the inner cylinder wall while the remaining liquid flows through and finally leaves the separator.
Here you can find more Information about Magnetic Separation.
Simulation with OpenLB (www.openlb.net) and Visualisation by Daniel Krug and Marie-Luise Maier
If you have a nice video which you have obtained with OpenLB, please let us know and we will link it or upload it. Please contact us.
The performance of OpenLB was evaluated for a realistic scenarios at the Magnus super computer (TOP500 at 358 Nov. 2018) using up to 32,784 of the available 35,712 cores obtaining 142,479 MLUPs. That are about 142 billion fluid cells which were updated in one second using OpenLB on Magnus. This proves the computational efficiency and scalability of OpenLB, which will allow it to solve some of the largest and most important fluid flow problems relevant to process engineering and a range of other fields.
We just published our new project page for OpenLB. You can find it at https://openlb.net We have added a lot of features to improve the usability of our webpage. Our goal is to make it as easy as possible for you to find the necessary resources.
A completely new and improved design
New information packed frontpage
completely new Forum section (Don’t worry. All your old posts have been moved to the new forum and you can still use your existing username and password.)
The navigation menu on the left-hand side is now faster than ever
Completely reworked news section
Optimization for mobile devices
Please feel free to message us here if you encounter any bugs or problems on the new website.
2019/02/22 | LBM Spring School with OpenLB Software Lab successfully finished. The executive committee announces the closing of the third LBM Spring School with OpenLB Software Lab. We were happy to host 46 participants from 12 countries and 3 continents, including three invited speakers in Mannheim, Germany. This year’s poster award goes to Moritz Lehmann from the Universität Bayreuth, Germany.
On behalf of the spring school executive committee, Natascha Heß-Mohr, Mathias J. Krause, Matthias Rädle, Robin Trunk.