Tailoring Generative Adversarial Networks for Smooth Airfoil Design

arXiv:2404.11816v1 Announce Type: new
Abstract: In the realm of aerospace design, achieving smooth curves is paramount, particularly when crafting objects such as airfoils. Generative Adversarial Network (GAN), a widely employed generative AI technique, has proven instrumental in synthesizing airfoil designs. However, a common limitation of GAN is the inherent lack of smoothness in the generated airfoil surfaces. To address this issue, we present a GAN model featuring a customized loss function built to produce seamlessly contoured airfoil designs. Additionally, our …

abstract adversarial aerospace arxiv cs.lg design designs gan generative generative adversarial network generative adversarial networks however network networks objects realm type