面向误差传递的复杂机械产品装配单元划分方法

张嘉锟; 陈琨; 于慧; 李丽丽; 高建民; 高智勇

doi:10.7652/xjtuxb202104010

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面向误差传递的复杂机械产品装配单元划分方法

更新时间：2025-07-09

- 面向误差传递的复杂机械产品装配单元划分方法
- Assembly Unit Partitioning Method of Complex Mechanical Products for Error Propagation
- 西安交通大学学报 2021年55卷第4期页码：86-94
- 作者机构：
  
  西安交通大学机械制造系统工程国家重点实验室,西安,710049
- 作者简介：
- 基金信息：
  
  : 2020-07-31。作者简介: 张嘉锟(1996—),男,硕士生;陈琨(通信作者),男,副教授。基金项目: 国家重点研发计划资助项目(2019YFB1703800)
- DOI：10.7652/xjtuxb202104010
  中图分类号： TP391.7
- 网络首发：2021-04-10，
  
  纸质出版：2021
- 稿件说明：
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张嘉锟, 陈琨, 于慧, 等. 面向误差传递的复杂机械产品装配单元划分方法[J]. 西安交通大学学报, 2021,55(4):86-94.

Assembly Unit Partitioning Method of Complex Mechanical Products for Error Propagation[J]. 2021, 55(4): 86-94.
张嘉锟, 陈琨, 于慧, 等. 面向误差传递的复杂机械产品装配单元划分方法[J]. 西安交通大学学报, 2021,55(4):86-94. DOI： 10.7652/xjtuxb202104010.

Assembly Unit Partitioning Method of Complex Mechanical Products for Error Propagation[J]. 2021, 55(4): 86-94. DOI： 10.7652/xjtuxb202104010.

摘要

针对复杂机械产品直接进行装配误差建模与分析困难的问题

提出了一种面向误差传递的复杂机械产品装配单元划分方法。该方法首先根据产品装配工艺信息

同时考虑零件间的装配关系以及对产品装配质量起重要影响的测量关系

基于复杂网络构建零件层级关联网络; 其次采用模糊层次分析与专家打分相结合的方式为零件间关联关系赋权

得到零件层级关联加权网络

与传统方法相比

在一定程度上提高了零件关联关系强度的客观性; 然后基于零件层级网络的社团特性

采用改进的连边社团检测算法进行装配单元划分

不仅揭示出零件网络的层次性

还可以挖掘出属于不同装配单元的重叠零件

更加符合复杂产品结构特点; 最后以某型号汽轮机低压模块为例

验证了该方法的可行性和有效性。该方法为后期误差传递分析等研究奠定了基础

基于该方法得到的装配单元

可以进一步拓展构建装配特征层级误差传递网络

从而为复杂机械产品装配质量分析提供了一个较为完备的分析平台。

Abstract

Aiming at the difficulty of directly modeling and analyzing assembly errors of complex mechanical products

an assembly unit partitioning method of complex mechanical products for error propagation is proposed. According to the product assembly process information

the assembly relationships among parts and the measurement relationships are taken into account

which obviously affect product assembly quality

then a part-level association network based on complex network is constructed. The method combining fuzzy analytic hierarchy process(FAHP)and expert scoring is introduced to weight the association relationship among parts to obtain a part-level association weighted network. Compared with the traditional method

the objectivity of the association relationship strength is heightened to a certain extent. An improved link communities(LC)algorithm is used for assembly unit partitioning based on the community characteristics of the part-level network. The division of assembly units reveals the hierarchical nature of the parts network and simultaneously digs out overlapping parts belonging to different assembly units

which more accurately coincides with the characteristics of complex product structures. A low-pressure module of a steam turbine is taken as an example to verify the feasibility and effectiveness of this method. The assembly unit in this method can be further extended to an assembly feature-level error propagation network to provide a relatively complete analysis platform for the assembly quality analysis of complex mechanical products.

关键词

Keywords

references

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