3 papers
physics.flu-dyn2025
Data-Driven Insights into Jet Turbulence: Explainable AI Approaches
Enrico Amico, Lorenzo Matteucci, Gioacchino Cafiero
In this study, eXplainable Artificial Intelligence (XAI) methods are applied to analyze flow fields obtained through PIV measurements of an axisymmetric turbulent jet. A convolutio…
physics.flu-dyn2025
An a posteriori data-driven method for phase-averaged optical measurements
Enrico Amico, Sara Montagner, Jacopo Serpieri +1
Phase-averaging is a fundamental approach for investigating periodic and non-stationary phenomena. In fluid dynamics, these can be generated by rotating blades such as propellers/t…
physics.flu-dyn2024
Measuring time-resolved heat transfer fluctuations on a heated-thin foil in a turbulent channel airflow
Antonio Cuéllar, Enrico Amico, Jacopo Serpieri +4
We present an experimental setup to perform time-resolved convective heat transfer measurements in a turbulent channel flow with air as the working fluid. We employ a heated thin f…