Imagine that you start a simulation where you need to compare different schemes, models and mesh for the same problem.
How would you organize the files and where would you compare the data?
For example, let's take an HVAC example where you need to change the flow rate to try different turbulence models and Mesh. Easily you could get something like:
HVAC - Mesh 1 - k-e
HVAC - Mesh 1 - k-w
HVAC - Mesh 2 - k-e
HVAC - Mesh 2 - k-w
Then let's say you want to show all the results together and easily compare how would you do it?
So far I just manually save PNG and compare in a table of pictures using word. How would you do it?
Thank you,
First, I would recommend NOT using png. Journals usually require high-quality vector graphics, so vector eps/pdf should be preferred.
If the comparison is visual, then you might show an array of figures like
mesh1 k-e mesh1 k-w
mesh2 k-e mesh2 k-w
Although presentation of results is mostly a subjective matter, I would arrange smaller figures closer and easier to compare rather than large figures far from one another. This depends a lot on the kind of comparison you have to perform, however.
Carlos L. S. Raposo
Here are some suggestions on how to organize your files and compare data for your HVAC example:
File organization: One way to organize your files is to create a folder for each simulation, and then subfolders for each parameter combination. For example:
HVAC
Mesh 1
k-e
k-w
Mesh 2
k-e
k-w
- Data comparison: To easily compare the results, you can use a data visualization tool such as ParaView or VisIt. These tools allow you to load the simulation data and create visualizations that can be easily compared side-by-side. You can also use these tools to create animations or interactive visualizations that allow you to explore the data in more detail.
- Automated data processing: If you have a large number of simulations, you may want to consider automating the data processing and visualization tasks. This can be done using scripting languages such as Python or MATLAB. You can write scripts that automatically load the simulation data, process it, and create visualizations. This can save you a lot of time and make it easier to compare the results.
- Statistical analysis: To compare the results more rigorously, you can use statistical analysis techniques such as hypothesis testing or regression analysis. These techniques can help you identify significant differences between the simulations and quantify the effects of the different parameters.
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