Event-based imaging velocimetry for jet flow control

Kurzfassung

This study investigates the use of event-based imaging velocimetry (EBIV) as a viable sensing technology for optimising open-loop jet-flow control strategies. EBIV is deployed in a jet-control experiment in which the actuation system combines both acoustic and synthetic jet forcing; the resulting velocity fields are used to evaluate the performance of the control action. The goal is to develop and assess EBIV as a fast, reliable sensor in-the-loop to support advanced flow control optimization algorithms such as bayesian optimization and deep reinforcement learning.