Python Link for DynamicStudio to post process leap-frogging vortex rings

The Python™ Link for DynamicStudio helps to accelerate post processing of large data sets, which are characteristic in volumetric measurements. With the Python™ Link a users ‘home made’ analysis methods can be written in Python and called from DynamicStudio, as if the script was a native analysis method. The results are then also kept in DynamicStudio for visualization or post processing.

In this application, a tomographic PTV setup with four cameras is used to acquire images from leapfrogging vortex rings around an accelerating pulsed water jet. The images are then pre-processed to remove background and noise, before a tomographic PTV approach computes the time resolved Lagrangian particle tracks. These are smoothed, and then a Physics Informed Interpolation is applied to filter and interpolate the velocity field onto a regular grid, as shown in the video above (left hand side).

With the help of the Python Link, the 3 first vortex rings can be separated from each other before others interact, by their vorticity magnitude or the Q-criterion, and the vortex dynamics can be better understood by simplifying to the ring vortex diameter and fitting plane, to see how the move