******************* This email originates from outside Imperial. Do not click on links and attachments unless you recognise the sender. If you trust the sender, add them to your safe senders list https://spam.ic.ac.uk/SpamConsole/Senders.aspx to disable email stamping for this address. ******************* Hi Lars, I am working on dynamic stall problems using Nektar++. There is a moving reference frame method in Nektar++. We can use it to solve the plunging and pitching problems without moving grid. But if the rotation angle is too large, the airfoil wake sweeps a wide area and it may require a very large refined domain to capture the wake. Mohsen developed a slid mesh method, I am not sure if it can be used in incompressible solver. If so, the wake issue can be solved. Best Ankang Research Associate Department of modern mechanics University of Science and Technology of China -----Original Messages----- From:"Lars Wein" <wein@tfd.uni-hannover.de> Send time:Monday, 03/31/2025 19:07:17 To: nektar-users@imperial.ac.uk Subject: [Nektar-users] nektar for dynamic stall simulations Dear Nektar-Team, last week during the ETC conference in Hannover, I listend to Mr. Spencer. I think he mentioned you are currently working on a methodology to simulate moving bodies. In my team, we are simulating dynamic stall on wind energy turbines, using openFOAM and a sliding mesh interface. The blade performs an oscillating pitching motion, defined by the user (not two-way FSI). Since we strive for hybrid RANS LES, or even wall resolved LES, I would prefer to switch from openFOAM to a solver that supports higher order numerical methods. Do you think Nektar would be feasible for this kind of simulations? Best regards Lars Wein -- Dr.-Ing. Lars WEIN Team Leader Multiphysics of Turbulent Flows & Deputy COO Gottfried Wilhelm Leibniz Universität Hannover Institute of Turbomachinery and Fluid Dynamics | TFD An der Universität 1 Geb. 8140, Raum 209 30823 Garbsen, Germany Telefon: +49 (0)511 762 2347 Fax: +49 (0)511 762 3997 E-Mail: wein@tfd.uni-hannover.de Web: www.tfd.uni-hannover.de
