Comparative Aerodynamic Performance Analysis of Camber Morphing and Conventional Airfoils

Reinforcement Learning of Morphing Airfoils with Aerodynamic and Structural Effects

This paper applies a Reinforcement Learning methodology to the problem of airfoil morphing. The reinforcement learning as it is applied to morphing is integrated with a computational model of an airfoil. The computational model utilizes a doublet panel method whose end yield is airfoil lift, drag, and moment coefficients. An episodic unsupervised learning simulation using the Q-Learning method ...

Aerodynamic Performance of Biological Airfoils

Experimental studies on static, non-flapping dragonfly wings have shown favorable aerodynamic performance at low Reynolds number (Re ≤ 10,000). High lift is hypothesized to arise from the dragonfly’s pleated wing structure. A numerical study of flow past a modeled dragonfly wing section as well as its comparison to a corresponding profiled airfoil and a flat plate were conducted at Re = 10,000....

Morphing Airfoils with Four Morphing Parameters

An episodic unsupervised learning simulation using the Q-Learning method is developed to learn the optimal shape and shape change policy for a problem with four state variables. Optimality is addressed by reward functions based on airfoil properties such as lift coefficient, drag coefficient, and moment coefficient about the leading edge representing optimal shapes for specified flight conditio...

Aerodynamic Analysis of Trailing Edge Enlarged Wind Turbine Airfoils

a comparative analysis of the marginal microleakages of two pit and fissure sealans, conseal-f and conseal clear

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