56th 3AF International Conference on Applied Aerodynamics

AERO2022 Conference: “Aerodynamics for Lower Environmental Impact”

Call for papers for AERO2022 Conference is now open!

The 3AF International Conference on Applied Aerodynamics is an annual event organised by the French Aeronautics and Aerospace Society (3AF) at French venues between researchers of all nations leading an activity in aeronautics or aerospace.

It is an excellent opportunity for scientific exchanges between researchers from industry, research institutions and academia. Researchers from other fields are also welcome as the current theme englobes the whole transport and energy sector.

Each year the conference addresses a particular topic in aerodynamics. It is organised on the basis of five half-days of technical presentations, each introduced by a keynote conference from a recognised expert and is concluded by a technical tour in connection with the conference theme.

This 56^th Edition hosted by the “Département d’Aérodynamique, Énergétique et Propulsion” (DAEP) at ISAE-SUPAERO intends to gather experts in diverse fields to share their perspectives on Aerodynamics for Lower Environmental Impact.

MAIN TOPICS FOR AERO2022

The following items will be considered to address the above challenges (the list not being exhaustive):

Aerodynamic design and optimisation of novel configurations and propulsion systems for a very large range of Reynolds number
Geophysical fluid dynamics – radiative forcing and dispersion of emission
Emerging concepts – Urban Mobility Systems, Unmanned and Micro-Aerial Systems
Flow control techniques for drag and load – transition delay and separation control
Advances in measurement techniques, data processing, wind tunnel or flight test
Recent development in modelling and prediction, from low order models to high fidelity simulations, data driven analysis
Emerging fields such as nature-inspired solutions and deep learning
Heat transfer phenomena
Condensation trails. Effects of biofuels/hydrogen, altitude, and other factors
Noise prediction and reduction techniques