现代制造工程 ›› 2026, Vol. 549 ›› Issue (6): 128-134.doi: 10.16731/j.cnki.1671-3133.2026.06.013

• 仪器仪表/检测/监控 • 上一篇    下一篇

大深宽比收发组件装配间隙数字化检测方法研究*

王岩1,2, 解金华1, 俞威威1,3   

  1. 1 中国航空工业集团公司雷华电子技术研究所,无锡 214082;
    2 南京航空航天大学机电学院,南京 210016;
    3 上海交通大学机械与动力工程学院,上海 200240
  • 收稿日期:2025-06-26 出版日期:2026-06-18 发布日期:2026-07-02
  • 作者简介:王岩,博士,中级,研究方向为数字化测量。E-mail:tiantangtianma@126.com
  • 基金资助:
    *江苏省卓越博士后计划项目(2024ZB060);中航机载基础研究课题项目(24522)

Study on digital detection method for assembly clearance of radar components with large depth-to-width ratio

WANG Yan1,2, XIE Jinhua1, YU Weiwei1,3   

  1. 1 Avic Leihua Electronic Technology Research Institute,Wuxi 214082,China;
    2 College of Mechanical and Electrical Engineering,Nanjing University of Aero. & Astro., Nanjing 210016,China;
    3 School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China
  • Received:2025-06-26 Online:2026-06-18 Published:2026-07-02

摘要: 随着现代电子产品向高集成度和多功能化方向发展,装配精度和可靠性要求日益提高,特别是在雷达天线等电子产品中,大深宽比组件装配间隙的测量成为一项技术难题。传统的接触式测量方法效率低且无法获取其内部整体间隙分布,而现有的数字化测量技术在大深宽比间隙内部数据获取方面存在局限性。提出了一种基于点云数据处理和理论模型配准的大深宽比组件装配间隙数字化测量方法。通过高效的聚类分割、特征提取和配准算法,实现了不可见区域间隙数据的恢复和可视化。实验结果表明,该方法能够显著提高间隙测量的精度和效率,为大深宽比组件装配间隙的数字化检测提供了新的解决方案。

关键词: 大深宽比组件, 装配间隙, 数字化测量, 点云数据处理, 模型配准

Abstract: With the development of modern electronic products towards high integration and multifunctionality,the demonds for assembly precision and reliability have increasingly escalated. This is particularly evident in electronic products such as radar antennas,where measuring the assembly gaps of components with large aspect ratios has become a technical challenge. Traditional contact measurement methods are inefficient and incapable of capturing the overall internal gap distribution,while existing digital measurement techniques face limitations in acquiring internal data for gaps with large aspect ratios. A digital measurement method for the assembly gaps of components with large aspect ratios was proposed,based on point cloud data processing and theoretical model registration method. Through efficient clustering segmentation,feature extraction,and registration algorithms,the method achieves the reconstruction and visualization of gap distribution in invisible regions. Experimental results demonstrate that the proposed method significantly enhances the accuracy and efficiency of gap measurement,offering a novel solution for the digital inspection of assembly gaps in components with large aspect ratios.

Key words: large depth-to-width ratio modules, assembly gaps, digital measurements, point cloud data processing, model registration

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