DFG priority project SPP 2170 InterZell
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1 to 10 of 56 Results
Unknown - 172.2 MB - MD5: e518e09427ade95f5bc47d20f617c529
This file contains the origin lab files pertaining to the calculations and graphing of the 25mm and 40mm LP results. Generally, the python codes will yield "numpy" files, which are read through the respective editor, the results are then imported/inserted into the respective grap...
Unknown - 185.6 MB - MD5: 43d0fb2001c688599a1349214a5ee633
This file contains the origin lab files pertaining to the calculations and graphing of the 25mm and 40mm LP results. Generally, the python codes will yield "numpy" files, which are read through the respective editor, the results are then imported/inserted into the respective grap...
Python Source Code - 13.8 KB - MD5: 54b8ee2fc3c607623a1df744d3968dd3
Here, the respective folders are searched for the results pertaining to the CFD and experimental results. Make sure to have the results from the trajectory data stored in their seperate folders. Eventually, all different Stokes numbers will be calculated.
Python Source Code - 2.0 KB - MD5: eef518784b2319f8b61225a79d919bf5
This code combines all the individual floor hit results for the respective experiments.
Python Source Code - 2.9 KB - MD5: d3ef538d532367b301e2acf53243be1b
This code is used to determine the amount contacts between the Lagrangian Particle (LP) and the floor of the vat.
Python Source Code - 1.9 KB - MD5: 5da0517bb4e1f3f0adc7cab79e414dcd
This code combines all the individual floor hit results for the respective experiments.
Python Source Code - 4.5 KB - MD5: 197e6880dbda330977ba1e3532119f9b
This code calculates the heat maps standard deviation and recalculates it to reflect the uncertainty in a 10x10 grid based on the numpy positional data that are saved into one specific directory which is to be defined. It can also be used to actually graph and calculate the norma...
Python Source Code - 1.8 KB - MD5: d2610e172cd00ebedbcf442f899e35d5
Very simple bit of code that creates histograms based on all the individual experiments for the positional data. It calculates the histograms for each axis individually, the path to where the numpy files are saved and the directory for where the results are to be saved are define...
Python Source Code - 1.8 KB - MD5: 7f71e2283de313d85a0828134e59405b
Very simple bit of code that creates histograms based on all the individual experiments for the positional data. It calculates the histograms for each axis individually, the path to where the numpy files are saved and the directory for where the results are to be saved are define...
Python Source Code - 9.4 KB - MD5: 6ab0f22bbd2e4132d9a2b9ae1a9484ef
The first step in the experimental evaluation is the tracking via "opencv". It is important to note that the tracking requires images that are in one directory/folder and sorted in the necessary order through which the algorithm is to run through. Prior to the tracking the images...
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