13 citations · 18 across the 6 of their papers we have counts for
6 papers
Characterisation and extension of a rigid body dynamics solver coupled with OpenFOAM for flight performance analysis of flapping-wing drones
Romain Poletti, Emanuele Bombardi, Lilla Koloszar +2
The extraordinary aerial agility of hummingbirds and insects continues to inspire the design of flapping-wing drones. To replicate and analyze such flight, computational fluid dyna…
Reinforcement Twinning for Hybrid Control of Flapping-Wing Drones
Romain Poletti, Lorenzo Schena, Lilla Koloszar +2
Controlling flapping-wing drones requires controllers that handle time-varying, nonlinear, underactuated dynamics from incomplete, noisy sensor data. Recent advances in artificial…
Data-driven turbulent heat flux modeling with inputs of multiple fidelity
Matilde Fiore, Enrico Saccaggi, Lilla Koloszar +2
Data-driven RANS modeling is emerging as a promising methodology to exploit the information provided by high-fidelity data. However, its widespread application is limited by challe…
On the unsteady aerodynamics of flapping wings under dynamic hovering kinematics
Romain Poletti, Andre Calado, Lilla K. Koloszar +2
Hummingbirds and insects achieve outstanding flight performance by adapting their flapping motion to the flight requirements. Their wing kinematics can change from smooth flapping…
A Robust Data-Driven Model for Flapping Aerodynamics under different hovering kinematics
Andre Calado, Romain Poletti, Lilla K. Koloszar +1
Flapping Wing Micro Air Vehicles (FWMAV) are highly manoeuvrable, bio-inspired drones that can assist in surveys and rescue missions. Flapping wings generate various unsteady lift…
Physics-constrained machine learning for thermal turbulence modelling at low Prandtl numbers
Matilde Fiore, Lilla Koloszar, Miguel Alfonso Mendez +2
Liquid metals play a central role in new generation liquid metal cooled nuclear reactors, for which numerical investigations require the use of appropriate thermal turbulence model…