This video is the final step in this tutorial on solver-independent grid adaptation: we started with the grid generated in Pointwise, solved in SU2, post-processed using Tecplot, and now complete the cycle by modifing the grid based on solution-characteristics. A fair bit of ground has been covered, and different snippets of code used: go to this page to review these steps. Create a batch file or shell file to integrate these steps and you’re all set!

The TecIO Library allows you to quickly and easily read and write Tecplot binary files directly from your application. Users have coded up applications 10 times faster using TecIO-MPI, which handles the complexity of MPIIO for you. Watch this webinar for details. Parellel SZL output, of course, is available with SU2 as detailed here.

Pointwise mesh adaptation can do more than the off-body adaptation outlined in the tutorial above. Nick Wyman and Steve Karman from Pointwise along with Paul Galpin from ISimQ held a Let’s Talk Meshing Live Q&A about mesh adaptation to answer questions on this subject. Watch this webinar to learn how mesh adaptation with Pointwise can maintain fidelity to the bounding surfaces of the flow domain.

One of the most important steps in any mesh-adaptation is determining which aspect of the solution best indicates where the mesh size must change. The choice is often problem dependent: the Mach number may work well for external aerodynamics but can be irrelevant for other flows. You can, as a post-processing step, derive a function from the flow field as shown in this video. The function you evaluate, as we shall see subsequently, can then be used to drive the mesh size.

Slicing your 3D data is easy in Tecplot: a single click can give you what you want. But what if you want radial slices? Or theta slices? Or to clip a slice? Or to automate slice extracion? Or …

You could use Value Blanking. Or create a variable as described in this article. Or, as in this script, create a new zone and interpolate the solution onto it. Or write a Python script such as this one. Or a macro such as this one. Or, of course, ask for support!

Creating a Glyph script with Pointwise is easy: record what you’re doing, and you can replay it, as shown in this video. If you want to add your own control logic, or otherwise improve the recorded script, you can edit the recorded TCL script. But as we’ve seen earlier, Python can make this easier: watch this video to see how you can use an IDE to debug Python applications with Pointwise.