The turbulent flow inside a rotating channel provided with transverse ribs along one wall is
studied by means of two-dimensional time-resolved particle image velocimetry. The …

Convolutional neural networks (CNNs) offer an alternative to the image cross-correlation
methods used in particle image velocimetry (PIV) to reconstruct the fluid velocity field from …

A detailed aerothermal characterization of an advanced leading edge (LE) cooling system
has been performed by means of experimental measurements. Heat transfer coefficient …

The work reports for the first time detailed experimental data about the flow field inside an
advanced leading edge cooling channel for gas turbine blades. The geometry key features …

Abstract We introduce a Convolutional Neural Network (CNN) that is specifically designed
and trained to post-process recordings obtained by Background Oriented Schlieren (BOS), a …

The measurement of microfluidic flows is an essential instrument to understand the
governing physical mechanisms at small scales. This fact has motivated the adaptation of …

The present work is part of a wider research program which concerns the aero-thermal
characterization of cooling channels for the trailing edge of gas turbine blades. The selected …

We devise a novel lightweight image matching architecture (LIMA), which is designed and
optimized for particle image velocimetry (PIV). LIMA is a convolutional neural network (CNN) …

The flow field inside a rotating smooth radial channel with a triangular shaped cross section
is investigated. Test conditions resemble those pertaining to the passages used for the …

The flow field inside a cooling channel for the trailing edge of gas turbine blades has been
numerically investigated with the aim to highlight the effects of channel rotation and …