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Month: February 2022

A data-driven deep learning approach for predicting separation-induced transition of submarines

A data-driven deep learning approach for predicting separation-induced transition of submarines

Physics of Fluids, Volume AIFM2022, Issue 1, August 2022. Separation-induced transitions can affect the hydrodynamic performance of submarines significantly. The onset of this transition plays a critical role in the design of aircrafts and underwater v…

Load estimation in unsteady flows from sparse pressure measurements: Application of transition networks to experimental data

Load estimation in unsteady flows from sparse pressure measurements: Application of transition networks to experimental data

Physics of Fluids, Volume AIFM2022, Issue 1, August 2022. Inspired by biological swimming and flying with distributed sensing, we propose a data-driven approach for load estimation that relies on complex networks. We exploit sparse, real-time pressure …

Quantitative imaging of printed circuit board (PCB) delamination defects using laser-induced ultrasound scanning imaging

Quantitative imaging of printed circuit board (PCB) delamination defects using laser-induced ultrasound scanning imaging

Journal of Applied Physics, Volume P2NDM2022, Issue 1, July 2022. Laser-induced ultrasound scanning imaging is proposed and utilized for the detection of the printed circuit board (PCB) delamination defect in this present study. Initially, based on the…