航空学报 > 2018, Vol. 39 Issue (7): 421899-421899   doi: 10.7527/S1000-6893.2018.21899

基于有向点集的多面多孔式装配偏差分析与协调

崔志卓1, 杜福洲1, 熊涛2   

  1. 1. 北京航空航天大学 机械工程及自动化学院, 北京 100083;
    2. 中国空间技术研究院 北京卫星环境工程研究所, 北京 100094
  • 收稿日期:2017-11-29 修回日期:2018-03-20 出版日期:2018-07-15 发布日期:2018-03-19
  • 通讯作者: 杜福洲 E-mail:du_fuzhou@163.com
  • 基金资助:
    国防预研项目(160341423008)

Analysis and coordination of assembly deviation of multi plane-and-holes assembly based on orientation points group

CUI Zhizhuo1, DU Fuzhou1, XIONG Tao2   

  1. 1. School of Mechanical Engineering and Automation, Beihang University, Beijing 100083, China;
    2. Beijing Institute of Spacecraft Environment Engineering, China Academy of Space Technology, Beijing 100094, China
  • Received:2017-11-29 Revised:2018-03-20 Online:2018-07-15 Published:2018-03-19
  • Supported by:
    National Defence Pre-research Foundation (160341423008)

摘要: 多面多孔式装配是航天航空等大尺度部件装配/装调常见的连接形式之一,其空间装配关系复杂,调配环节多且存在耦合,以试错式的装配作业方式存在难度大、需反复试装与调配、装配质量一致性差、装配效率低等问题。采用"有向点"表征轴/孔配合的空间装配关系,提出了一种基于有向点集的多面多孔式装配协调数学模型,通过奇异值分解(SVD)分解法对基于有向点集的协调模型进行最优匹配运算,给出了装配调整量的计算方法。最后,以实际工程需求为应用背景,在实验室环境下进行了多面多孔式装配协调试验,结果表明基于测量数据的装配偏差分析与装配调整量计算方法可行。

关键词: 测量辅助装配, 多面多孔, 有向点, 装配偏差, SVD分解法

Abstract: Multi plane-and-holes assembly is a common connection process in assembly of large-scale aircraft or spacecraft products, and has many adjustment chains and complex assembly relationships. The trial and error mode of assembly work is difficult and needs to be repeated and adjusted, so the quality of assembly is poor and the assembly efficiency is low. This paper proposes the concept of "orientation point" to represent the position and posture of the hole or shaft. A multi plane-and-holes assembly mathematical model is developed based on the "orientation points" group. The Singular Value Decomposition (SVD) method is used to obtain the best-fit of orientation points groups. The calculation method for adjustment amount is given. According to the practical engineering requirement, a multi plane-and-holes assembly experiment is conducted in the laboratory environment. Experimental results show that the proposed methods are feasible for assembly deviation analysis and adjustment amount calculation based on measure data.

Key words: measurement-assisted assembly, multi plane-and-holes, orientation point, assembly error, Singular Value Decomposition (SVD) method

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