首页 >

人工智能在飞行器结构设计制造领域的进展与挑战-AI+空天科学

朱继宏1,李颖1,张治东1,张畯清1,李铭宇1,任强1,张贞慧2,谷小军1,高彤1,张卫红1   

  1. 1. 西北工业大学
    2. 西安石油大学
  • 收稿日期:2026-04-10 修回日期:2026-09-07 出版日期:2026-09-10 发布日期:2026-09-10
  • 通讯作者: 张卫红
  • 基金资助:
    国家自然科学基金;国家自然科学基金项目;教育部基础学科和交叉学科突破计划项目;国家重点研发计划“制造基础技术与关键部件”重点专项;国家自然科学基金重大研究计划项目

Advances and challenges in artificial intelligence for aircraft structural design and manufacturing

  • Received:2026-04-10 Revised:2026-09-07 Online:2026-09-10 Published:2026-09-10

摘要: 人工智能技术的快速发展为飞行器结构优化设计与增材制造领域带来了深刻变革,推动结构优化与增材制造协同融合成为实现设计?制造一体化的重要研究方向。本文围绕该领域人工智能技术研究进展,从结构设计、增材制造及其一体化设计制造三个层面系统梳理关键技术成果。在结构设计方面,人工智能大幅提升了气动外形生成与拓扑优化效率,推动了复杂构型多目标优化的智能设计。在增材制造方面,人工智能实现了工艺参数智能优化、成形过程自适应控制、缺陷识别,并助力工艺?组织?性能的预测。在此基础上,综述了人工智能在薄壁加筋结构、流道结构及点阵夹层结构等典型场景中的应用,归纳了材料?工艺?组织?结构?功能一体化设计制造的研究进展。最后,总结了人工智能应用于飞行器结构优化与增材制造面临的关键挑战与展望。

关键词: 飞行器结构, 人工智能, 结构优化, 增材制造, 材料结构一体化

Abstract: The rapid development of artificial intelligence has brought profound changes to structural optimization and additive manufacturing for aircraft structures. This development has made the collaborative integration of structural optimization and additive manufacturing an important research direction for design–manufacturing integration. Focusing on recent advances in artificial intelligence in this field, this paper systematically reviews key technical achievements from three aspects: structural design, additive manufacturing, and integrated design and manufacturing. In structural design, artificial intelligence has greatly improved the efficiency of aerodynamic shape generation and topology optimization, and has supported intelligent multi-objective optimization of complex configurations. In additive manufacturing, artificial intelligence has enabled intelligent process-parameter optimization, adaptive control of forming processes, and defect identification, while also supporting prediction of process–microstructure–property relationships. On this basis, this paper reviews the applications of artificial intelligence in typical scenarios, including thin-walled stiffened structures, channel structures, and lattice sandwich structures, and summarizes the research progress in material–process–microstructure–structure–function integrated design and manufacturing. Finally, the key challenges and future prospects of applying artificial intelligence to aircraft structural optimization and additive manufacturing are discussed.

Key words: aircraft structures, artificial intelligence, structural optimization, additive manufacturing, material–structure integration

中图分类号: