Research on the technical route of artificial intelligence application in aircraft design

Zhichun Zeng; Shengli Zhang; Yong Zou; Qianhui Zhu; Siyuan Tian; Long He; Changhao Wang

doi:10.1117/12.3045110

30 September 2024 Research on the technical route of artificial intelligence application in aircraft design

Zhichun Zeng, Shengli Zhang, Yong Zou, Qianhui Zhu, Siyuan Tian, Long He, Changhao Wang

Proceedings Volume 13286, Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024); 132861Q (2024) https://doi.org/10.1117/12.3045110
Event: Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024), 2024, Guangzhou, China

Abstract

With the rapid development of artificial intelligence technology, its application in aircraft design has become a critical means of enhancing design efficiency and innovation. In order to explore the specific application pathways of AI technology in the domain of aircraft design and evaluate its actual impact on design process optimization, this paper provides an overview of the current application status of key AI technologies in aircraft design. It analyzes specific cases where AI technology has improved the efficiency of aircraft design and forecasts the future challenges and development trends in AI aircraft design. The results of the study indicate that AI is currently widely applied in aircraft control systems, configuration optimization, and fault prediction and health management. Data-driven design scheme generation can significantly enhance the accuracy of aircraft design, shorten the development cycle, and to some extent, predict and mitigate potential risks.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhichun Zeng, Shengli Zhang, Yong Zou, Qianhui Zhu, Siyuan Tian, Long He, and Changhao Wang "Research on the technical route of artificial intelligence application in aircraft design", Proc. SPIE 13286, Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024), 132861Q (30 September 2024); https://doi.org/10.1117/12.3045110

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