Hi again,
I have more informations that might help. I tried to reproduce the same case at the research paper I linked to you on my previous message below. Basically, it is a 9 Aspect Ratio trapezoidal wing with a NACA 64_210 airfoil. Visualizing the lift distribution where the algorithm manages to converge but to non physical values gives some information :
Problems appear slightly over 10° whereas in the paper they successfuly descibres the stall at 13°. To be precise, they did that using MachUp and not MachUpX. At 10°, before any trouble the lift distribution is :
At 10.15°, distributions starts to be a little bit weird
From there it just gets worse (10.3° below):
With an associated total AoA :
I don't know why, but it converges to such solutions.
JSON and fit are below.
Thanks,
Lucas
Le vendredi 23 avril 2021 à 18:03:38 UTC+2, Cory a écrit :