About fourty years ago – according to (Rechenberg, 1994) – Rechenberg and Schwefel came up with the idea of evolution strategies for flow optimization. Since then advances in computer architectures and numerical algorithms have greatly decreased computational costs of realistic flow simulations, and today Computational Fluid Dynamics (CFD) is complementing flow experiments as a key guiding tool...

Turbofan engine intakes are designed to provide separation-free flow at the fan face over a wide range of operating conditions. But some off-design conditions, like high flight speeds and angles attack (AoA), aero intake may encounter separation. This boundary layer separation inside nacelle inlet an aircraft can lead large number undesirable outcomes reduction in efficiency, stall levels stres...

The objective of current paper is 3D simulation of turbulent, developing flow and unsteady within a circular duct in presence of the body force vector persuaded by Dielectric barrier discharge (DBD) plasma actuator inside the surface of geometry for the first time. This article aims at investigating of applying plasma actuator to control separation with special arrangement of electrodes. For th...

This paper discusses the control of flexible microgrids, consisting of a Redox Flow Batteries (RFB) and a new power conditioning system (PCS) for the RFB. Considering the importance of energy storage, this study is essential in power systems that are developed cautiously. RFB is connected to power system by a DC/DC or DC/AC converter to produce a DC voltage. It is very important that this conve...

This paper focuses on the asymptotic stability of proportional-integral AQM controllers supporting TCP flows. Necessary and sufficient conditions for the asymptotic stability of the closed-loop linearization are provided. As a result, the complete set of proportional-integral controllers that locally stabilizes the equilibrium point is obtained. The robustness of the controllers to uncertaintie...

Active flow control (AFC) involves manipulating fluid over time to achieve a desired performance or efficiency. AFC, as sequential optimisation task, can benefit from utilising Reinforcement Learning (RL) for dynamic optimisation. In this work, we introduce Gym-preCICE, Python adapter fully compliant with Gymnasium API facilitate designing and developing RL environments single- multi-physics AF...