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航空复合材料自动铺丝工艺缺陷检测、表征与工艺优化研究进展

马润博1,张峻鸣1,许英杰2,王文智1   

  1. 1. 西北工业大学
    2. 西北工业大学机电学院
  • 收稿日期:2025-06-18 修回日期:2025-08-25 出版日期:2025-09-24 发布日期:2025-09-24
  • 通讯作者: 王文智
  • 基金资助:
    国家重点研发计划;国家自然科学基金联合基金

Review on defect detection, characterization, and process optimization in automated fiber placement of aviation composite

  • Received:2025-06-18 Revised:2025-08-25 Online:2025-09-24 Published:2025-09-24
  • Contact: wenzhi wang

摘要: 自动铺丝技术作为先进复合材料高效制造的重要方法,已在航空航天领域的大型复杂曲面构件制造过程中展现出显著优势。然而,受限于设备精度、材料特性与结构复杂性,铺放过程中易产生多类铺层缺陷,严重影响结构性能与服役安全性。因此,围绕缺陷检测、表征、工艺优化等核心技术展开研究,已成为提升自动铺丝制造质量的关键。针对铺放过程中的典型缺陷,简要论述了其相关研究基础,系统梳理了当前自动铺丝技术在缺陷检测、表征与工艺参数优化方面的研究进展,总结了现阶段自动铺丝缺陷检测、表征和工艺优化方法存在的不足,并展望了其未来发展趋势。基于相关研究的梳理成果,构建了面向复合材料制造质量控制的闭环技术框架,为实现高质量、高可靠性和高智能化的复合材料自动铺丝制造提供了系统性的研究参考。

关键词: 连续纤维增强复合材料, 自动铺丝, 缺陷影响, 缺陷检测, 缺陷表征, 工艺优化方法

Abstract: As an important method for efficient manufacturing of advanced composites, Automated Fiber Placement (AFP) technology has exhibited significant advantages in the production of large and complex curved structures in the aerospace field. However, due to the limitations in equipment precision, material characteristics, and structural complexity, various types of layup defects are prone to occur during the AFP process, which severely affect the structural performance and service reliability. Accordingly, research focusing on key technologies such as defect detection, characterization, and process optimization has become essential for improving AFP manufacturing quality. This study briefly discusses on the foundational research pertaining to typical defects in the AFP processes. Current research progress in defect detection, characterization, and process parameter optimization in AFP technology is systematically reviewed. Existing limitations in detection, characterization, and process optimization methods for AFP defects are summarized, along with future research directions. Based on the findings of the relevant research, a closed-loop technical framework for composite manufacturing quality control is proposed, providing a systematic reference for achieving high-quality, high-reliability, and high-intelligent AFP manufacturing of composites.

Key words: continuous fiber reinforced composites, automated fiber placement, defect impact, defect detection, defect characterization, process optimization methods

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