An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification

Autor: Iacopo Tirelli, Andrea Ianiro, Stefano Discetti

Publikováno v: Experimental Thermal and Fluid Science

We introduce a novel end-to-end approach to improving the resolution of PIV measurements. The method blends information from different snapshots without the need for time-resolved measurements on grounds of similarity of flow regions in different sna

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2b6348dbdf84ea219df9c8063929c9a
https://hdl.handle.net/10016/36559

Reducing turbulent convective heat transfer with streamwise plasma vortex generators

Autor: Rodrigo Castellanos, Theodoros Michelis, Stefano Discetti, Andrea Ianiro, Marios Kotsonis

Publikováno v: Experimental Thermal and Fluid Science, 134

The effect of streamwise plasma vortex generators on the convective heat transfer of a turbulent boundary layer is experimentally investigated. A Dielectric Barrier Discharge (DBD) plasma-actuator array is employed to promote pairs of counter-rotatin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cdfe7467fdeffea8bf7b82c3716a884
http://resolver.tudelft.nl/uuid:94646647-e059-43cd-8565-eba1d1ca62f1

Modal decomposition of flow fields and convective heat transfer maps: An application to wall-proximity square ribs

Autor: Marco Raiola, Carlos Sanmiguel Vila, Andrea Ianiro, Ramis Örlü, Stefano Discetti, Fermin Mallor

Publikováno v: e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname

In this work the modal decomposition of convective heat transfer distributions in turbulent flows is explored. The organization and thermal footprint of the turbulent flow features generated downstream of wall-proximity two-dimensional square ribs im

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9730490f6a8ba0145a154bde8ab3e90
https://doi.org/10.1016/j.expthermflusci.2018.12.023

Unsupervised modelling of a transitional boundary layer

Autor: Stefano Discetti, Andrea Ianiro, F. Foroozan, V. Guerrero

Publikováno v: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname

A data-driven approach for the identification of local turbulent-flow states and of their dynamics is proposed. After subdividing a flow domain in smaller regions, the K -medoids clustering algorithm is used to learn from the data the different flow

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc4274581496a4924c7d74b2a5aada1b
http://hdl.handle.net/10016/34123

Convolutional-network models to predict wall-bounded turbulence from wall quantities

Autor: Andrea Ianiro, Stefano Discetti, Luca Guastoni, Hossein Azizpour, Ricardo Vinuesa, Philipp Schlatter, A. Güemes

Two models based on convolutional neural networks are trained to predict the two-dimensional velocity-fluctuation fields at different wall-normal locations in a turbulent open channel flow, using the wall-shear-stress components and the wall pressure

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90c70e0ea59c913467c5a4936f9c1ff1
http://arxiv.org/abs/2006.12483