WebJun 8, 2024 · This paper describes the application of generative adversarial networks (GANs) to airfoil inverse design. Specifically, this work focuses on creating new airfoil shapes via conditional GANs (CGAN) based on a vector set of conditional data indicating desired performance metrics. WebJun 8, 2024 · This paper describes the application of generative adversarial networks (GANs) to airfoil inverse design. Specifically, this work focuses on creating new airfoil …
Development of a Conditional Generative Adversarial Network for Airfoil …
WebJan 7, 2024 · In this paper, we propose a deep generative model, Free-Form Deformation Generative Adversarial Networks (FFD-GAN), that provides an efficient parameterization … WebJan 12, 2024 · The current design of aerodynamic shapes, like airfoils, involves computationally intensive simulations to explore the possible design space. Usually, … evangeline lilly facts
Deep Generative Model for Efficient 3D Airfoil Parameterization and ...
WebIn contrast, we propose to use a deep generative model of aerodynamic designs (specifically airfoils) that reduces the dimensionality of the optimization problem by learning from shape variations in the UIUC airfoil database. WebJun 21, 2024 · Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks. Global optimization of aerodynamic shapes usually requires a … WebJan 6, 2024 · This work proposes to use a deep generative model of aerodynamic designs (specifically airfoils) that reduces the dimensionality of the optimization problem by learning from shape variations in the UIUC airfoil database and shows that this model empirically accelerates optimization convergence by over an order of magnitude. 48 PDF evangeline lilly ant-man and the wasp