Generating various airfoils with required lift coefficients by combining NACA and Joukowski airfoils using conditional variational autoencoders
Generating various airfoils with required lift coefficients by combining NACA and Joukowski airfoils using conditional variational autoencoders
复制标题
使用条件变分自动编码器组合 NACA 和 Joukowski 翼型，生成具有所需升力系数的各种翼型
DOI：
10.1016/j.engappai.2021.104560
复制
发表时间：
2022
影响因子：
8
通讯作者：
Suzuki Katsuyuki
中科院分区：
文献类型：
--
作者：
Yonekura Kazuo;Wada Kazunari;Suzuki Katsuyuki
机械设计中反设计问题的目的是获得满足设计要求的形状。还期望获得各种形状，但是使用常规方法难以在短计算时间内找到多个形状。本文提出了使用条件变分自编码器（CVAE）的正常分布，表示为N-CVAE，沿着与冯Mises-Fischer分布，表示为S-CVAE，找到多个解决方案的反设计问题。CVAE模型都将形状嵌入到潜在空间中。S-CVAE能够在潜在空间中分离数据，而N-CVAE将数据嵌入到狭窄的空间中。这些不同的功能用于本研究中的各种任务。在第一个任务中，数据集只包含一种类型的数据。在这里，S-CVAE优于N-CVAE，因为它可以很容易地分离数据。在第二个任务中，数据集由两种不同类型的翼型组成。期望将两种类型组合联合收割机并生成新类型的数据。N-CVAE在这项任务中很有用，因为它在同一潜在区域中嵌入不同的形状，因此，模型输出不同类型的中间形状。实验比较了S-CVAE和N-CVAE的形状生成能力。
The aim of inverse design problem in mechanical design is to obtain shapes that satisfy the required design specifications. It is also desired to obtain varieties of shapes, but finding multiple shapes in a short computation time is difficult using the conventional methods. This paper proposes the use of the conditional variational autoencoders (CVAE) with normal distribution, denoted by N-CVAE, along with the von Mises–Fischer distribution, denoted by S-CVAE, to find multiple solutions for the inverse design problems. Both the CVAE models embed shapes into a latent space. The S-CVAE enables the separation of data in the latent space, whereas the N-CVAE embeds the data in a narrow space. These different features are used for various tasks in this study. In the first task, the dataset consists of only one type of data. Here, S-CVAE outperforms N-CVAE because it can easily separate the data. In the second task, the dataset consists of two different types of airfoils. It is desired to combine two types and to generate new types of data. N-CVAE is useful in this task since it embeds different shapes in the same latent area, due to which, the model outputs intermediate shapes of different types. The shape-generation capability of S-CVAE and N-CVAE are experimentally compared in this study.
主成分分析的形状参数化方法在参数形状优化中的应用
影响因子：
3.3
作者：
Kazuo Yonekura;O. Watanabe
通讯作者：
O. Watanabe