| Autor: |
Chattoraj, Joyjit, Wong, Jian Cheng, Zexuan, Zhang, Dai, Manna, Yingzhi, Xia, Jichao, Li, Xinxing, Xu, Chun, Ooi Chin, Feng, Yang, Ha, Dao My, Yong, Liu |
| Rok vydání: |
2024 |
| Předmět: |
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| Druh dokumentu: |
Working Paper |
| Popis: |
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 model demonstrates a substantial increase in design diversity compared to a conventional GAN augmented with a post-processing smoothing filter. |
| Databáze: |
arXiv |
| Externí odkaz: |
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