Users of CFx who utilize discrete particles in their domain were a bit stuck for options for visualizing and analyzing that data in EnSight. The current CFx Export to EnSight format does not include the particle track information, and the Native Reader of CFx files into EnSight did not handle the read of those particle very well (extremely slow for small amount of particle, and unusable for more.). Given some recent inquiries, and bit more investigation on our end, we here at CEI have come up with an alternative approach which seems to work fairly well. We have written a python routine which translates the Particle Traces exported from CFx (to a ascii text file) into EnSight Measured data, which can then be loaded up with your EnSight model. This allows you to now visualize and analyze your CFx particle data in EnSight.
Transient Model Users:
Please note that in order for this routine to work with transient models, the information written to the PT1.trk file for “Traveling Time” must actually be uniquely equal to the Absolute Time (Analysis_Time). According to the CFx usage and documentation, the time written to the PT1.trk file is just the Particle_Traveling time, and therefore is not specifically the unique Analysis_Time (ie the Particle Traveling Time is relative to when that particle started, not a single fixed absolute time (aka Analysis_Time). If your transient model does conform to Traveling_Time == Analysis_Time, then this routine should work. If not, this routine will certainly not work.
The current documentation is kept on our User Defined Tools Help page here:
The translation routine takes existing EnSight Case File exported from CFx, along with a CFx exported Particle Track file (ascii format) (.trk), and translate this into measured data. The routine creates a new .case file with the appropriate additions for the Measured data. The user therefore only has to run this translation routine once, and can directly load the new .case file on his 2nd and subsequent load of the data into EnSight. With the Particle Track information read into EnSight as Measured data, the user can visualize, scale, animate, calculate, and analyze the characteristics of the Particle information.
Please view the Help page link mentioned above before launching the User Defined Tool, as there are a few options to control how the Particle Track information gets translated. Once viewed, please download the python routine below and place it (along with the .png file) into your User Defined Tools area.
Please Click here to download the current Version of this Tool (version 3.0)
Any updates to the routine will be re-posted back here, with appropriate notes/changes. Please feel free to provide feedback and comments back to us so that we can ensure that we provide the most appropriate and useful tool for your visualization needs.
Version 2.0 of the routine, with the following changes:
Updated routine to handle different ASCII format (provided by CEI GmbH) (differing number of values per line in file)
Updated routine to handle explicit min and max times provided in the Track files
Updated routine to handle gaps in the ParticleIDs
Updated routine to stop routine if supplied .case file already has Measured Data in it (Information provided in Terminal window)
Updated routine to handle .case file which is already transient (time set += 1)
Updated to handle particles not starting all at the same time (for Transients only)
Updated to handle Stick & non-existent particles at initial time
Modified linear interpolation during re-sampling.
Modified sort algorithm to utilize ‘sorted’ with a lambda.
Please see note at top regarding Transient Model integration.