Objective
"The recent developments of the Tomographic Particle Image Velocimetry technique and of the non-intrusive pressure field characterization method, by the applicant at TU Delft Aerospace Engineering, now opens unforeseen perspectives in the area of unsteady flow diagnostics and experimental aero-acoustics. As a result of this work it is now possible not only to quantify complex flows in their three-dimensional structure, but also to extract quantities such as pressure. The current research proposal aims at the development of an innovative approach to experimental aero-acoustics and flow control making use of the recently developed Tomographic-PIV technique. The objective is to fully describe and quantify the flow pattern and the related acoustic source term at its origin, which is of paramount importance to understand and control the processes like acoustic noise production and flow separation dominating aerodynamic drag. This is relevant for the improvement of aircrafts design as far as drag reduction and noise emission is related and should enable the development of ""greener"" aircrafts for a sustainable growth of aviation in populated areas, in harmony with the technology innovation policy in Europe (7th Framework Programme) and TU Delft sustainable development focus (CleanEra, Cost-Effective Low emission And Noise Efficient regional Aircraft) at Aerospace Engineering. To achieve this step it is required that such new-generation diagnostic approach by the Tomo-PIV technique is further developed into a quadri-dimensional measurement tool (4D-PIV), enabling to extract the relevant acoustic information from the experimental observation invoking the aeroacoustic analogies. A wide industrial and academic network (DLR, AIRBUS, DNW, NLR, LaVision, EWA, JMBC Burgerscentrum) developed in recent years is available to exploit the results of the proposed activity."
Fields of science
Call for proposal
ERC-2007-StG
See other projects for this call
Funding Scheme
ERC-SG - ERC Starting GrantHost institution
2628 CN Delft
Netherlands