Assembly Error Modeling and Traceability Analysis Method Based on Digital Twin

MEN Songchen; ZHOU Guanghui; ZHANG Chao; CHANG Fengtian; ZOU Yongcheng

doi:10.7652/xjtuxb202301017

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Assembly Error Modeling and Traceability Analysis Method Based on Digital Twin

更新时间：2025-07-09

- Assembly Error Modeling and Traceability Analysis Method Based on Digital Twin
- Vol. 57, Issue 1, Pages: 175-184(2023)
- 作者机构：
  
  1. 西安交通大学机械工程学院,西安,710049
  2. 西安交通大学机械制造系统工程国家重点实验室,西安,710054
  3. 长安大学工程机械学院,西安,710064
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202301017
  CLC： TH166
- Online First：10 January 2023，
  
  Published：2023
- 稿件说明：
移动端阅览
MEN Songchen, ZHOU Guanghui, ZHANG Chao, et al. Assembly Error Modeling and Traceability Analysis Method Based on Digital Twin[J]. 2023, 57(1): 175-184.
DOI：

MEN Songchen, ZHOU Guanghui, ZHANG Chao, et al. Assembly Error Modeling and Traceability Analysis Method Based on Digital Twin[J]. 2023, 57(1): 175-184. DOI： 10.7652/xjtuxb202301017.

摘要

针对因装配误差溯源分析时效性差、准确率低而导致的装配质量控制不及时等问题

提出基于数字孪生的装配误差建模与溯源分析方法。首先

结合数字孪生技术搭建面向装配误差分析的数字孪生框架

在此基础上

构建装配物理层、数据感知模型、几何模型与设备运动模型

为后续装配误差传递模型的构建与溯源分析提供支持; 其次

将装配工艺信息中提取的零部件特征、质量特征与特征间连接关系

分别作为误差传递网络中节点与节点的连边关系

构建自适应生长误差传递网络

并通过数据模型获取装配现场数据

用于误差传递网络权重赋值

得到自适应生长误差传递模型; 然后

采用多算法动态融合排序方法对自适应生长误差传递模型进行关键装配节点识别

为装配质量控制提供依据; 最后

结合逆回溯算法与误差传递强度

计算误差传递路径上各节点的误差传递强度

实现装配误差溯源分析。采用所提方法在装配实验平台进行误差溯源分析实验

结果表明:在各装配工序发生质量问题概率相等的情况下

所提方法相比传统离线溯源分析方法的时效性提高了约40%

通过所提方法能有效提高装配质量控制时效性

并降低装配质量控制成本。

Abstract

Aiming at the problems of untimely assembly quality control due to poor timeliness and low accuracy of assembly error traceability analysis

an assembly error modeling and traceability analysis method based on digital twin is proposed. Firstly

a digital twin framework for assembly error analysis is built by the digital twin technology. On this basis

the assembly physical layer

data perception model

geometric model

and equipment motion model are constructed to provide support for subsequent assembly error transfer model construction and traceability analysis. Secondly

an adaptive growth error transfer network is constructed by taking the component features

quality features

and connection relationship among the features extracted from the assembly process information respectively as the nodes and connection relationship among the nodes in the error transfer network

and then an adaptive growth error transfer model is generated by applying the assembly site data obtained from the data model to the weight assignment of the error transfer network. Then

the multi-algorithm dynamic fusion sorting method is introduced to identify the key assembly nodes of the adaptive growth error transfer model

which provides a basis for assembly quality control. Finally

the inverse backtracking algorithm and error transfer intensity algorithm are combined to calculate the error transfer intensity of each node on the error transfer path and to realize the assembly error traceability analysis. The proposed method is used to conduct error traceability analysis experiments on the assembly experimental platform. The experimental results show that the timeliness using the proposed method could be improved by about 40% compared with the traditional offline traceability analysis method under the condition that the probability of quality problems in each assembly process is equal

which indicates that the proposed method can effectively improve the timeliness of assembly quality control and reduce the cost thereof.

关键词

Keywords

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