This paper focuses on the active flow control of a computational fluid dynamics simulation
over a range of Reynolds numbers using deep reinforcement learning (DRL). More …

To further explore the development of turbine secondary flows and associated losses at a
low Reynolds number, a synergy analysis was developed and implemented. Loss is defined …

As the lift of turbine increases, the secondary flow in the endwall region seriously restricts
improvement of the aerodynamic performance of low-pressure turbine. The particle swarm …

The end wall loss of modern highly loaded low pressure turbine (LPT) has been greatly
increased, due to the enhanced secondary flow loss and boundary layer separation loss …

Because axial flow turbines are widely used as the main components of jet engines and
industrial gas turbines, their energy reduction effect is significant, even with a slight …

This study used large eddy simulation (LES) to investigate the control mechanism of a fluidic
oscillator in the suppression of non-reattachment separation of a boundary layer from an …

In an axial-flow turbine of a jet engine used for aircraft propulsion, the passage vortex (PV)
and tip leakage vortex (TLV) generated inside the blade passage deteriorate the …

In the current paper, the zero-mass synthetic jet flow control combined with a proximal policy
optimization (PPO) algorithm in deep reinforcement learning is constructed, and a policy …

Here we describe a combined design, numerical, and experimental program intended
substantially to increase the lift and work of low-pressure turbine stages. This exercise is …

The influence of pulsed suction (PS) on flow separation and aerodynamic performance in a
highly loaded compressor cascade is experimentally studied herein. The excitation …