Multi-point optimization of transonic airfoils using an enhanced genetic algorithm

Timnak, N.; Jahangirian, A.

doi:10.1177/0954410017690549

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…The blade shape has 56 design parameters, with a population size of 64 and a generation size of 100 are utilized. However, Timnak, N. et al 33 applied the GA method for the optimum design of a transonic airfoil, the PARSEC method with nine design variables was applied for airfoil parameterization. The total population of each generation is set to be 20.…”

Section: Genetic Algorithmmentioning

confidence: 99%

Optimization of transonic low-Reynolds number airfoil based on genetic algorithm

Chen,

Wei,

Xiao

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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A 2-D airfoil shape optimization in transonic low-Reynolds number regime is conducted. A Navier–Stokes flow solver with a transition model (k-ω SST γ-Reθ) is used to evaluate the fitness function. Single-point and multi-point formulations of the optimization results are compared. In addition, the effects of Mach number and angles of attack on aerodynamic characteristics of the optimized airfoils are investigated under low Reynolds number (Re = 17,000) and high-subsonic-flow ([Formula: see text]) conditions. The results show that the corresponding drag divergence Mach number curves of the conventional airfoil present almost a parallel shifting at the entire Mach number range. By contrast, the unconventional airfoil starts showing a significant drag reduction when Mach number is greater than 0.75. Besides, the maximum lift-to-drag ratio is highly influenced by the Mach number because of the formation, movement, type, and strength of a shock wave. In addition, the distinguishing difference in the conclusion between two airfoils is that the lift fluctuation of the conventional airfoil amplifies with the increase of the Mach number. However, the unconventional airfoil shows an opposite trend.

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Section: Genetic Algorithmmentioning

confidence: 99%

Optimization of transonic low-Reynolds number airfoil based on genetic algorithm

Chen,

Wei,

Xiao

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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show abstract

“…Timnak and Jahangirian (2018) conducted research on the use of genetic algorithms and PARSEC parameterization for airfoil optimization [17].…”

Section: Introductionmentioning

confidence: 99%

“…Trigonometric surfaces over triangles with modifiable form parameters can be produced using this approach [5]. They investigated the use of genetic algorithms and PARSEC parameterization for airfoil optimization [6]. A control point is defined, using point clouds of the airfoil [7].…”

Section: Introductionmentioning

confidence: 99%

Optimization and development of an airfoil by Bezier curve through computational analysis

Vala,

Umathe,

Patel

et al. 2024

Preprint

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Airfoils play a pivotal role in the turbomachinery field, influencing energy efficiency in various applications, including aircraft design and fluid product blending. This research focuses on the optimization of airfoil shapes, aiming to design a new generalized airfoil with adjustable parameters through the application of Bezier curve theory. The investigation employs a combination of experimental techniques in a Low-Speed Open-Type Wind Tunnel and computational simulations using ANSYS Fluent as the flow solver. The study considers the existing C4 Profile and introduces a novel airfoil with varying angles of attack(A.O.A), ranging from 0 degrees to + 30 degrees in 5-degree increments. Steady-state simulations are conducted to solve Reynolds Averaged Navier-Stokes (RANS) Equations, utilizing the shear stress transport (SST) k-ω turbulence model and the Standard k-epsilon turbulence model as closure models, with a moderate turbulence intensity of 5%. The newly designed airfoil, referred to as the Circular arc cambered airfoil, is created using the Bezier curve theory, resulting in a generalized form with adjustable shape parameters. The research findings indicate that the Circular arc cambered airfoil exhibits superior aerodynamic efficiency, generating increased lift and reduced drag when compared to the conventional C4 Profile airfoil. This study contributes to the ongoing exploration of airfoil design optimization, offering insights into the potential enhancements achievable through Bezier curve-based adjustments in shape parameters.

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“…is has been applied to optimize the performance of a transonic airfoil [12]. Jin et al [13] extensively reviewed the various surrogate models using their prediction accuracy, efficiency, and robustness and concluded that for higher-order nonlinear problems, neural networks should be used.…”

Section: Introductionmentioning

confidence: 99%

Efficiency-House Optimization to Widen the Operation Range of the Double-Suction Centrifugal Pump

et al. 2020

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Most pumping machineries have a problem of obtaining a higher efficiency over a wide range of operating conditions. To solve that problem, an optimization strategy has been designed to widen the high-efficiency range of the double-suction centrifugal pump at design (Qd) and nondesign flow conditions. An orthogonal experimental scheme is therefore designed with the impeller hub and shroud angles as the decision variables. Then, the “efficiency-house” theory is introduced to convert the multiple objectives into a single optimization target. A two-layer feedforward artificial neural network (ANN) and the Kriging model were combine based on a hybrid approximate model and solved with swarm intelligence for global best parameters that would maximize the pump efficiency. The pump performance is predicted using three-dimensional Reynolds-averaged Navier–Stokes equations which is validated by the experimental test. With ANN, Kriging, and a hybrid approximate model, an optimization strategy is built to widen the high-efficiency range of the double-suction centrifugal pump at overload conditions by 1.63%, 1.95%, and 4.94% for flow conditions 0.8Qd, 1.0Qd, and 1.2Qd, respectively. A higher fitting accuracy is achieved for the hybrid approximation model compared with the single approximation model. A complete optimization platform based on efficiency-house and the hybrid approximation model is built to optimize the model double-suction centrifugal pump, and the results are satisfactory.

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Multi-point optimization of transonic airfoils using an enhanced genetic algorithm

Cited by 7 publications

References 14 publications

Optimization of transonic low-Reynolds number airfoil based on genetic algorithm

Optimization of transonic low-Reynolds number airfoil based on genetic algorithm

Optimization and development of an airfoil by Bezier curve through computational analysis

Efficiency-House Optimization to Widen the Operation Range of the Double-Suction Centrifugal Pump

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