Numerical and Experimental Study of the Co-Flow Jet Airfoil Performance Enhancement

Zhang, Shunlei; Yang, Xudong; Song, Bifeng; Xu, Junqi

doi:10.2514/6.2017-1694

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…The individual blade has been considered in the simulations. The following variables are used to characterize the performance of the blade airfoil for the optimization process: Lift coefficient C L , Drag coefficient C D , Expansion Ratio of the Jet Γ, defined as ratio of absolute pressure of Jet inlet to the absolute pressure of the undisturbed flow, and Profile efficiency η defined as [9]:…”

Section: Test Casementioning

confidence: 99%

Neural network topology for wind turbine analysis

Gaymann

Schiaffini

Massini³

et al. 2019

European Conference on Turbomachinery Fluid Dynamics and Hermodynamics

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In this work Artificial Neural Networks (ANN) are used for a multi-target optimization of the aerodynamics of a wind turbine blade. The Artificial Neural Network is used to build a meta-model of the blade, which is then optimized according to the imposed criteria. The neural networks are trained with a data set built by a series of CFD simulations and their configuration (number of neurons and layers) selected to improve performances and avoid over-fitting. The basic configuration of the airfoil is the profile S809, which is commonly used in horizontal axis wind turbines (HAWT), equipped with a Coanda jet. The design position and momentum of the jet are optimized to maximize aerodynamic efficiency and minimize the power required to activate the Coanda Jet.

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Section: Test Casementioning

confidence: 99%

Neural network topology for wind turbine analysis

Gaymann

Schiaffini

Massini³

et al. 2019

European Conference on Turbomachinery Fluid Dynamics and Hermodynamics

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“…The use of a co-flow jet can increase Cl and delay stall. Moreover, the co-flow jet can minimize Cd so that the airfoil can work more efficiently [13].…”

Section: Introductionmentioning

confidence: 99%

Aerodynamics Improvement of NACA 0015 by Using Co-Flow Jet

Julian

Iskandar²,

Wahyuni³

2022

IJMEIR

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⎯ this study analyzes co-flow as active flow control in the object of the airfoil. NACA 0015 is the airfoil used in this study. The airfoil was then modified to add co-flow jet features. Co-flow jet was placed on the upper chamber to analyze its effect on airfoil performance. Further, the Co-flow jet was studied by varying the injected mass flow rate ( m ) in the injection slot. The variation of m is 0.15, 0.20, and 0.25 kg/s. The study used CFD with the governing equation RANS. Reynolds Averaged Navier Stokes combined with turbulence model to solve all equations. Two equations for the turbulence model are used in this study. Specifically, this study discusses the aerodynamics of the airfoil, i.e., lift force, drag force, and fluid flow visualization, such as pressure contour and velocity contour. Co-flow jets can improve the aerodynamics of airfoils. The bigger the m injected, the higher the lift coefficient increases. On the other hand, the drag force will be reduced as the number of injected fluid flow increases. Because of that, the airfoil efficiency will be better if using a co-flow jet. However, the Cl/Cd curve peak shifts to smaller as the injection fluid flow are bigger. The fluid flow visualization by velocity contour on AoA=20° revealed that the co-flow jet could overcome separation. Keywords⎯ co-flow jet, mass flow rate, aerodynamic performance, NACA 0015.

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