Results 1 to 10 of about 20,769,954 (368)
Control and controllability of microswimmers by a shearing flow [PDF]
With the continuing rapid development of artificial microrobots and active particles, questions of microswimmer guidance and control are becoming ever more relevant and prevalent. In both the applications and theoretical study of such microscale swimmers, control is often mediated by an engineered property of the swimmer, such as in the case of ...
Clément Moreau+3 more
openaire +6 more sources
Wind farm flow control: prospects and challenges
. Wind farm control has been a topic of research for more than two decades. It has been identified as a core component of grand challenges in wind energy science to support accelerated wind energy deployment and to transition to a clean and sustainable ...
J. Meyers+7 more
semanticscholar +1 more source
The performance of a small reconfigurable unmanned aerial vehicle (UAV) is evaluated, combining a multidisciplinary approach in the computational analysis of additive manufactured structures, fluid dynamics, and experiments.
Dioser Santos+3 more
doaj +1 more source
Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning [PDF]
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 precisely, the proximal policy optimization (PPO) method is used to control the mass
Hongwei Tang+4 more
semanticscholar +1 more source
Review of Flow-Control Devices for Wind-Turbine Performance Enhancement
It is projected that, in the following years, the wind-energy industry will maintain its rapid growth over the last few decades. Such growth in the industry has been accompanied by the desirability and demand for larger wind turbines aimed at harnessing ...
Md. Zishan Akhter, F. Omar
semanticscholar +1 more source
Robust flow control and optimal sensor placement using deep reinforcement learning [PDF]
This paper focuses on finding a closed-loop strategy to reduce the drag of a cylinder in laminar flow conditions. Deep reinforcement learning algorithms have been implemented to discover efficient control schemes, using two synthetic jets located on the ...
Romain Paris+2 more
semanticscholar +1 more source
Suppressing Uncommanded Roll-Yaw Motion by Jet Flow Control Based on Reinforcement Learning
The suppression of uncommanded motion of aircraft at high angles of attack (α) is a research topic of continuous concern in the aviation field. Aiming at the suppression of uncommanded roll-yaw motion of a canard aircraft at high angles of attack, an ...
Yizhang Dong+3 more
doaj +1 more source
Investigation of Aeroelasticity Effect on Missile Separation from the Internal Bay
There is a strong aerodynamic interference when launching the missile in the embedded mode. During the separation process, the carrier aircraft safety may be threatened due to large slenderness ratio, low structural stiffness, and aeroelasticity effects ...
Shuling Tian, Rongjie Li, Ke Xu
doaj +1 more source
Triggering Shock Wave Positions by Patterned Energy Deposition
The problem considered in this work is shock wave (SW) positioning control in shock-dominated flows. Experiments are conducted to investigate the triggering effect of patterned near-surface electrical discharges on SW reflection from plane walls.
Philip Andrews+2 more
doaj +1 more source
Flow Characterization at Heated Air Supersonic Facility SBR-50
The supersonic wind tunnel facility SBR-50 at the University of Notre Dame was built in 2015 for experimental research related to shock wave (SW) interactions with obstacles and boundary layers (BL) as well as supersonic combustion and a plasma-based ...
Philip Andrews+4 more
doaj +1 more source