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Prof. Fulvio Scarano: Status and developments of particle image velocimetry and its contribution to sport aerodynamics

CNR and UNIROMA 3 jointly host Prof. Dr.-Eng. Fulvio Scarano (Delft University of Technology, Aerospace Engineering Department – Aerodynamics, Kluyverweg 1, 2629 HS, Delft, The Netherlands, Ph: +31 15 278 5902, ) giving his seminar Wednesday 4 May 2022, 16:30 at UNIROMA3, Dept. of Engineering, Via Vito Volterra 62, 00146 Rome, Room N13.

The recent developments of the Particle Image Velocimetry technique (PIV) into a three-dimensional flow diagnostic tool allows nowadays its application in time-resolved mode for air flows at moderate values of the Reynolds number. This advance is mainly due to the joint progress of CMOS imagers and diode-pumped solid-state lasers operating at rates of several kilohertz. A more recent development is that of seeding particles that allow Large-Scale (at level of several m2) PIV.

As a result, a significant step forward in the detailed study of the complex and turbulent flows is being taken with augmented observation capabilities. Novel architecture for the measurement of the aerodynamics in real-life conditions allow non-intrusive study of the pressure field and open unforeseen perspectives in the area of sport aerodynamics.

The seminar will cover some fundamental aspects of 3D-PIV and time-resolved data reduction techniques aiming at pressure field analysis. Furthermore, concepts like robotic PIV and the Ring-of-Fire are introduced alongside applications to the aerodynamics of speed-sports like cycling and skating.

The presentation will be given in English, with the possibility of discussion in Italian when required.

If you wish to attend the seminar in presence, please reserve your place sending an email to:

The seminar will be also available online at he following link: https://teams.microsoft.com/l/meetup-join/19%3ameeting_YTk4ODFmMWMtY2I2MS00NGI3LWFjNzgtZDRkMGEyZDUxODRl%40thread.v2/0?context=%7b%22Tid%22%3a%22ffb4df68-f464-458c-a546-00fb3af66f6a%22%2c%22Oid%22%3a%229beb68ed-45f7-4e49-a1a9-2289ac021277%22%7d