Application of Mathematical Optimization Methodsfor Designing Airfoil Considering Viscosity

Prodan, N. V.; Kurnukhin, A. A.

doi:10.3103/s1068799821040115

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…The calculations analyze multiple propulsion airfoils illustrated in Figure 11. A series of propulsion airfoils were generated by solving the inverse aerodynamics problem and utilizing stochastic global optimization methods [45]. Optimization methods based on solving the inverse problem of aerodynamics permit the consideration of the air sources and drains present on the wing's surface in the aerodynamic profile.…”

Section: Resultsmentioning

confidence: 99%

Control of Aerodynamic Characteristics of Thick Airfoils at Low Reynolds Numbers Using Methods of Boundary Layer Control

Bulat,

Chernyshov,

Prodan

et al. 2024

Fluids

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The article explores flow behavior around thick airfoils at low Reynolds numbers and the potential application of energy methods to manipulate the flow field for increased lift and reduced drag. The study relies on a set of propulsion airfoils calculated using a combined approach of solving the inverse problem of aerodynamics and applying stochastic global optimization methods. The calculations consider the transition from laminar to turbulent flow regimes, which significantly affects lift and airfoil drag. The suitability of different turbulence models for airfoil modeling in low Reynolds numbers is discussed, and numerical simulation results determine the lift coefficient dependence on angle of attack and the optimal air flow rate taken from the airfoil surface for each angle of attack. The accuracy of different turbulence models is analyzed by comparing numerical simulation results to physical experiment data.

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Section: Resultsmentioning

confidence: 99%

Control of Aerodynamic Characteristics of Thick Airfoils at Low Reynolds Numbers Using Methods of Boundary Layer Control

Bulat,

Chernyshov,

Prodan

et al. 2024

Fluids

View full text Add to dashboard Cite

show abstract

“…The calculations consider several propulsion airfoils shown in Figure 11. A series of propulsion airfoils was obtained by a combination of solving the inverse problem of aerodynamics and stochastic methods of global optimization [40]. Airfoil 1 has a flat lower surface, and there is no air blowing through the trailing edge (Figure 11a).…”

Section: Resultsmentioning

confidence: 99%

Control of Aerodynamic Characteristics of Thick Airfoils at Low Reynolds Numbers Using Energy Methods

Bulat,

Chernyshov,

Prodan

et al. 2023

Preprint

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The flow around thick airfoils at low Reynolds numbers and the possibility of using energy methods to control flowfield, increase lift and reduce drag are considered. For calculations, a series of propulsion airfoils is used, obtained by a combination of solving the inverse problem of aerodynamics and stochastic methods of global optimization. The calculations take into account the transition from the laminar flow regime to the turbulent one, which has a significant effect on the lift and airfoil drag. The applicability of various turbulence models for airfoil modelling at low Reynolds numbers is discussed. The results of numerical simulation make it possible to determine the dependence of the lift coefficient on the angle of attack and the optimal flow rate of air taken from the airfoil surface for each angle of attack. The results of numerical simulation are compared with the data of a physical experiment, and conclusions are drawn about the accuracy of various turbulence models.

show abstract

Application of Mathematical Optimization Methodsfor Designing Airfoil Considering Viscosity

Cited by 2 publications

References 23 publications

Control of Aerodynamic Characteristics of Thick Airfoils at Low Reynolds Numbers Using Methods of Boundary Layer Control

Control of Aerodynamic Characteristics of Thick Airfoils at Low Reynolds Numbers Using Methods of Boundary Layer Control

Control of Aerodynamic Characteristics of Thick Airfoils at Low Reynolds Numbers Using Energy Methods

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