Numerical investigation of high-speed flying wing based on co-flow jet

Wang, Ruochen; Ma, Xiaoping; Zhang, Guoxin; Ying, Pei; Wang, Bo

doi:10.1007/s00707-023-03555-w

Acta Mech

2023

DOI: 10.1007/s00707-023-03555-w

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Numerical investigation of high-speed flying wing based on co-flow jet

Ruochen Wang

Xiaoping Ma

Guoxin Zhang

et al.

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Cited by 2 publications

References 39 publications

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Computational analysis of influence of CFJ components on aerodynamic performance

Vigneswaran,

VishnuKumar

2023

Physics of Fluids

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This research aims to explore the effect of the co-flow jet (CFJ) airfoil injection jet velocity, injection height, and injection mass flow rate on the aerodynamic coefficient through numerical analysis. Five distinct circumstances are generated by adjusting the jet velocity, injection height, and mass flow rate, and each of the cases underwent numerical investigation. For this computational analysis, Reynolds averaged Navier–Stokes (RANS) solver has been utilized by employing the Spalart–Allmaras turbulence model, and the flow is treated as incompressible. The higher injection slots reduce the coefficient of lift (CL) due to poor aerodynamic shape, which can be overcome by injecting higher jet velocities, whereas lower jet velocities injecting into lower injection slots do not raise the CL even though they have streamlined aerodynamic shape. Hence, even if CFJ airfoils with poor geometry perform less aerodynamically, this problem is not intractable because it can be solved by injecting high jet velocities; meanwhile, injecting low velocities will result in reduced aerodynamic performance for CFJ airfoils with good geometry. The CFJ airfoil with the highest jet velocity and lowest injection slot increases the CL by a maximum of 65% compared to the baseline airfoil, which is higher than all other CFJ airfoils taken into consideration.

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Computational analysis of influence of CFJ components on aerodynamic performance

Vigneswaran,

VishnuKumar

2023

Physics of Fluids

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Wing design optimization and stall analysis with Co-flow Jet active control

Jiang,

Yao,

Zheng

et al. 2024

Physics of Fluids

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Coupled with Co-flow Jet (CFJ) technology, the Non-dominated Sorting Genetic Algorithm II was utilized for the multi-objective combination optimization of an optimized Co-flow Jet wing, based on National Advisory Committee for Aeronautics (NACA) 6421. A high-precision numerical simulation using the delayed detached eddy simulation model was performed on the optimized wing to investigate the three-dimensional flow separation characteristics after static stall. The stall improvement was investigated by adjusting the momentum coefficient of the injection. The results show that the optimized wing exhibits significant improvements in aerodynamic performance and corrected aerodynamic efficiency. At an angle of attack of 10°, the average lift increased by 16.25% and the drag decreased by 27.23% compared to the CFJ6421 wing, while effectively addressing the problem of low modified aerodynamic efficiency of the CFJ wing at lower angles of attack. By utilizing higher momentum and improving the boundary layer control capability, flow separation is effectively suppressed, thus achieving the goal of stall recovery of the CFJ wing.

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Numerical investigation of high-speed flying wing based on co-flow jet

Cited by 2 publications

References 39 publications

Computational analysis of influence of CFJ components on aerodynamic performance

Computational analysis of influence of CFJ components on aerodynamic performance

Wing design optimization and stall analysis with Co-flow Jet active control

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