3 papers
physics.flu-dyn2026
A fast Physics-Informed Neural Networks based approach to the 2D design of turbine blades
Yuan Huang, Francesca di Mare
Rapid aerodynamic screening of turbomachinery blades across wide operating envelopes remains a major computational bottleneck in preliminary design, particularly for energy-convers…
physics.flu-dyn2026
Influence of Prandtl number on heat transfer over a permeable wall
Wojciech Sadowski, Hakan Demir, Francesca di Mare
The work considers a fully turbulent flow with heat transfer in a channel half-filled with an array of cubes based on the work of Breugem and Boersma (2005) and Chandesris et al. (…
physics.flu-dyn2025
A Coupled CFD Framework for Combustor Turbine Interaction in a Research Aeroengine
Federico Lo Presti, Pierre Vauquelin, Jan Donndorf +3
This work presents a fully coupled combustor turbine simulation framework applied to the MYTHOS aeroengine, developed within the Horizon Europe project MYTHOS, aimed at assessing t…