Damiano Casalino
Damiano Casalino, PhD in fluid-dynamics (Turin Polytechnic) and acoustics (Ecole Centrale de Lyon) has research interests in aeroacoustics that cover frequency-domain CAA for duct acoustics and installation effects, sound propagation in sheared flows, integral methods, stochastic noise generation, advanced experimental techniques for space launcher noise, helicopter trajectory optimization, vortex-airfoil interaction noise, acoustic liners and porous treatments
Damiano is currently R&D director at Dassault Systèmes and chair of aeroacoustics in the aerospace faculty of Delft University of Technology. His main focus is on the industrial exploitation of the lattice Boltzmann method for airframe and engine noise prediction. More recently, he has started developing methodologies for Urban/Advanced Air Mobility and Wind-Energy applications. His current research goal is to integrate computational aeroacoustics in system engineering frameworks for aircraft, rotorcraft and wind-turbine community noise prediction in realistic operational scenarios.
Damiano has co-authored about seventy archival journal publications in the field of aeroacoustics, scoring an H-factor of 33. He has also co-authored 5 patents and has obtained the Aeroacoustics Award in 2023 from the Council of European Aerospace Societies.
Session
The Lattice-Boltzmann / Very Large Eddy Simulation solver (LB/VLES) SIMULIA PowerFLOW™ is extensively used to predict aeroacoustic sources from scale-resolved turbulent flows, and to design quieter air/ground vehicles and devices, such as hairdryers and ventilation systems. The present talk will focus on the emerging application of eVTOL and small Unmanned Aerial Systems (sUAS) aeroacoustics, by covering fundamental aspects related to the simulation of transitional flow for broadband noise prediction, and software technological aspects related to the complexity of the digital model, the required computational resources, and the usage of new hardware capabilities to reduce the simulation cost.