2020
DOI: 10.3390/en13133400
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An Inverse Design Method for Airfoils Based on Pressure Gradient Distribution

Abstract: An airfoil inverse design method is proposed by using the pressure gradient distribution as the design target. The adjoint method is used to compute the derivatives of the design target. A combination of the weighted drag coefficient and the target dimensionless pressure gradient is applied as the optimization objective, while the lift coefficient is considered as a constraint. The advantage of this method is that the designer can sketch a rough expectation of the pressure distribution pattern rather t… Show more

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Cited by 12 publications
(5 citation statements)
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References 34 publications
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“…Therefore, researchers have improved the aerodynamic inverse design method to address this problem. Zhang et al [132] determined the derivatives of the design target by the adjoint method in the airfoil inverse design.…”
Section: Optimization Patternmentioning
confidence: 99%
“…Therefore, researchers have improved the aerodynamic inverse design method to address this problem. Zhang et al [132] determined the derivatives of the design target by the adjoint method in the airfoil inverse design.…”
Section: Optimization Patternmentioning
confidence: 99%
“…Lei et al [490] provided another alternative that used WGAN to learn physical pressure distributions of transonic airfoils and selected a desirable distribution using GA based on features of interest such as the suction peak and pressure gradient of the suction platform. Then, multiple approaches can be used to find the aerodynamic shape corresponding to the distribution, such as constructing surrogate models [487,490] and using adjoint-based optimization [491].…”
Section: Generative Inverse Designmentioning
confidence: 99%
“…The process of airfoil design and/or optimization can be direct (specify airfoil geometry and calculate performance) via the computational fluid dynamics (CFD) method or indirect (specify pressure distribution for desired performance and calculate corresponding geometry) by inverse-design method (Y. Zhang et al, 2020). Usually, direct methods are solved by the use of time-consuming metaheuristics while indirect methods are generally solved in a deterministic way.…”
Section: Introductionmentioning
confidence: 99%