Testing the High-Lift Common Research Model at the ONERA F1 Wind Tunnel

This paper presents the main features and outcomes of the wind tunnel testing of the High-Lift Common Research Model in the ONERA F1 pressurized low-speed wind tunnel. Two complementary test campaigns were carried out in 2022 and 2023, both using a full-span model, with variations in model configuration, angle of attack, angle of sideslip, Mach number, and Reynolds number, and including force and moment, pressure, wing deformation, and flow visualization data. The main elements of the test methodology are reviewed to better assess the quality of the database in terms of uncertainty, repeatability, and wall and support corrections. A selection of results is presented regarding longitudinal and lateral characteristics, the buildup of the landing configuration, Mach and Reynolds number effects, and flap-setting effects. A special focus is placed on the data that were used in the fifth High-Lift Prediction Workshop.

Authors

Institutions

Publication Details

Journal
Journal of Aircraft
Published
2026-07-27
DOI
https://doi.org/10.2514/1.c038763
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Testing the High-Lift Common Research Model at the ONERA F1 Wind Tunnel

Sylvain Mouton, Grégoire Charpentier, Annabelle Choffat Lorenski
Journal of Aircraft
Computational Fluid Dynamics and Aerodynamics
article

Testing the High-Lift Common Research Model at the ONERA F1 Wind Tunnel

Sylvain Mouton, Grégoire Charpentier, Annabelle Choffat Lorenski
article en

Abstract

This paper presents the main features and outcomes of the wind tunnel testing of the High-Lift Common Research Model in the ONERA F1 pressurized low-speed wind tunnel. Two complementary test campaigns were carried out in 2022 and 2023, both using a full-span model, with variations in model configuration, angle of attack, angle of sideslip, Mach number, and Reynolds number, and including force and moment, pressure, wing deformation, and flow visualization data. The main elements of the test methodology are reviewed to better assess the quality of the database in terms of uncertainty, repeatability, and wall and support corrections. A selection of results is presented regarding longitudinal and lateral characteristics, the buildup of the landing configuration, Mach and Reynolds number effects, and flap-setting effects. A special focus is placed on the data that were used in the fifth High-Lift Prediction Workshop.

Journal of Aircraft
Office National d'Études et de Recherches Aérospatiales (FR)
Affordable and clean energy
Openalex Percentile: Top 11%
Computational Fluid Dynamics and Aerodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Testing the High-Lift Common Research Model at the ONERA F1 Wind Tunnel — Sylvain Mouton, Grégoire Charpentier, et al. · Journal of Aircraft (2026) | TGRS Research Map | TGRS