Скачать или смотреть designing airfoil tenfold faster with Xoptfoil2

using AI for designing an airfoil shape tenfold multiplies Xfoil capabilities

TIMESTAMPS :
00:00 introduction
01:11 There are different way to choose a profile : choosing an airfoil in a library, modifying the shape of an existing airfoil by operating directly on the shape or using the mixed of full inverse design method of Xfoil from the velocity distribution
02:55 some useful considerations about the mixed and inverse method to remind when using Xoptfoil
03:29 Xoptfoil2 an optimizer working more « by polars » with the Xfoil engine helped by the PSO, particle swarm optimization
04:52 you determine two types of targets in your script that setups your conditions and your expectations
05:25 example 1 with the Selig 7003 minimizing the drag at 0.2 CL and at Reynolds 400000 and keeping the same LD of the original airfoil
09:00 example 1 results in XFLR5
10:28 example 2 with the Selig 7003 minimizing the drag at 0.2 CL and at Reynolds 400000 AND getting the best LD at 0.7 CL
14:53 Xoptfoil2 has two types of objectives in terms of targets
15:40 example 3 with the Synergy95.
Finding first the best sink and best LD CL values in XFLR5 to know the CL values to compute Xoptfoil2. Asking for minimum sink at 0.91CL and best CL at 0.82 at 90000 Reynolds
20:23 the necessary documentation because the syntax is very important. Print it. I also encourage of the previous version Optfoil JX (but the syntax could somehow vary, be careful).
Xoptfoil:2 https://jxjo.github.io/Xoptfoil2/
Previous version: https://github.com/jxjo/Xoptfoil-JX