17 citations · 31 across the 5 of their papers we have counts for
5 papers · 1 filter
Data-efficient semi-supervised learning for flow estimation using unlabelled probe data
Junwei Chen, Marco Raiola, Stefano Discetti
Estimating time-resolved velocity and pressure fields from Particle Image Velocimetry (PIV) remains challenging due to its limited temporal resolution in many applications. Data-dr…
An efficient offline sensor placement method for flow estimation
Junwei Chen, Marco Raiola, Stefano Discetti
We present an efficient method to optimize sensor placement for flow estimation using sensors with time-delay embedding in advection-dominated flows. Our solution allows identifyin…
Advection-based multiframe iterative correction for pressure estimation from velocity fields
Junwei Chen, Marco Raiola, Stefano Discetti
A novel method to improve the accuracy of pressure field estimation from time-resolved Particle Image Velocimetry data is proposed. This method generates several new time-series of…
An assessment of event-based imaging velocimetry for efficient estimation of low-dimensional coordinates in turbulent flows
Luca Franceschelli, Christian E. Willert, Marco Raiola +1
This study explores the potential of neuromorphic Event-Based Vision (EBV) cameras for data-efficient representation of low-order model coordinates in turbulent flows. Unlike conve…
Heat transfer enhancement in turbulent boundary layers with a pulsed slot jet in crossflow
Rodrigo Castellanos, Gianfranco Salih, Marco Raiola +2
The convective heat transfer enhancement in a turbulent boundary layer (TBL) employing a pulsed, slot jet in crossflow is investigated experimentally. A parametric study on actuati…