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Exploration of wall modeling in large-eddy simulation for aeronautical flows (E-WMLES)

Reference number
Coordinator Saab AB
Funding from Vinnova SEK 1 000 000
Project duration August 2023 - August 2024
Status Completed
Venture Strengthened Swedish aeronautical research and development

Important results from the project

The main purpose and goals of the project have successfully been reached. Strategies and documentation for development of innovative wall-modeled LES (WMLES), with the aim to meet future challenges in aeronautical CFD, have been established. CFD capabilities have been improved in Saab’s flow solver M-Edge to better support WMLES of low- and high-speed flows. A proposal for a more extensive project on novel WMLES called “LESisMORE” has successfully been submitted within NFFP8 and granted by Vinnova (2024-01295).

Expected long term effects

The project has formulated an initial basis for innovative wall-modeled LES, including machine learning approaches, which will act as a starting point in the follow-up project LESisMORE granted by Vinnova. The project has given the Swedish aeronautical industry and academia valuable insights into WMLES including strategies and a better position for the development of next generation of wall-modeled LES methods aimed to meet the needs in future aircraft design. Moreover, improved capabilities for LES-based CFD simulations have been established in Saab’s flow solver M-Edge.

Approach and implementation

A key for the successful project outcome was the project team of experienced researchers and engineers with long experience from CFD, turbulence-resolving simulations and aeronautical applications. The group has been established since many years and has been working together in many NFFP and international projects. Another key was a well-balanced and limited scope dedicated to formulation of concepts and strategies combined with fundamental tests to further develop these formulations within the relatively short timeframe of the project.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 4 December 2024

Reference number 2023-01569