Mecatheque
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Note de veille - Avancées dans le domaine de la vélocimétrie par images de particules - Décembre 2019
This report briefly summarizes some of the key contributions presented in the 13th International Symposium on Particle Image Velocimetry (PIV), also known as ISPIV2019 (webpage: https://www.unibw.de/ispiv2019). The conference was held in Munich from July 22 to July 24 2019 and hosted about 250 participants from 28 countries.
Together with the famous Laser Symposium in Lisbon “Application of Laser and Imaging Techniques to Fluid Mechanics”, this is the largest and most important event for experimental fluid dynamists. Both the PIV symposium and the Lisbon conference are held every 2nd year. However, while the second remains historically located in Lisbon, the PIV conference alternates between North America and the pacific region: the previous edition in 2017 was held in Busan (Korea) while the 2015 edition was held in Santa Barbara (USA).
The conference is linked to two major archival journals: Experiment in Fluids and Measurement Science and Technology. As many of the scientific committee members of this conference are in the editorial board of these journals, special issues are dedicated to selected papers from the conference proceedings. Authors of these selected papers are typically asked to extend their contribution by approximately 50%.
As described during the welcome address by the conference Chairman, Prof. Christian J. Kähler, from the university of Munich, the number of participants over the various editions of the conference has been steadily growing. This clearly reflects the continuous growth of the PIV technique which is nowadays a well established method for flow velocimetry, used more and more also in industrial settings.
Among the major innovations presented in the conference, we highlight that this edition was the first hosting an entirely new session, fully dedicated to Deep Learning and Data Assimilation (reviewed in Section 4.4 of this document). Moreover, major technological breakthrough that have been presented at this conference are 1) the fastest TR-PIV ever achieved in the world (at 990kHz), 2) the first large scale application of the robotic 3D PTV tool from Delft and 3) several novel deep learning methods for PIV.
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Note de veille - Avancées dans le domaine de la vélocimétrie par images de particules - Décembre 2019
