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MS-GAN:3D deep generative model for multi-species propeller parameterization and generation

Chenyu WANG Bo CHEN Haiyang FU Yitong FAN Weipeng LI

中国航空学报（英文版）2025，Vol.38Issue(6)：382-395,14.

中国航空学报（英文版）2025，Vol.38Issue(6)：382-395,14.DOI:10.1016/j.cja.2025.103404

MS-GAN:3D deep generative model for multi-species propeller parameterization and generation

Chenyu WANG ¹Bo CHEN ¹Haiyang FU ²Yitong FAN ¹Weipeng LI¹

作者信息

1. School of Aeronautics and Astronautics,Shanghai Jiao Tong University,Shanghai 200240,China
2. School of Information Science and Technology,Fudan University,Shanghai 200433,China
折叠

摘要

关键词

Propellers/Dimensionality reduction/Parameterize/Artificial intelligence/Generative design

Key words

Propellers/Dimensionality reduction/Parameterize/Artificial intelligence/Generative design

引用本文复制引用

Chenyu WANG,Bo CHEN,Haiyang FU,Yitong FAN,Weipeng LI..MS-GAN:3D deep generative model for multi-species propeller parameterization and generation[J].中国航空学报（英文版）,2025,38(6):382-395,14.

基金项目

The funding support of the National Natural Science Founda-tion of China(No.12372221)is acknowledged. （No.12372221）

中国航空学报（英文版）

ISSN：1000-9361

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