基于关联网络的设计质量特性波动溯源分析

doi:10.3901/JME.2023.03.249

机械工程学报 ›› 2023, Vol. 59 ›› Issue (3): 249-264.doi: 10.3901/JME.2023.03.249

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基于关联网络的设计质量特性波动溯源分析

李金萍, 杨波, 王殿熙, 成保忠, 刘彦超, 高常青

济南大学机械工程学院济南 250022

收稿日期:2022-02-18 修回日期:2022-09-15 出版日期:2023-02-05 发布日期:2023-04-23
通讯作者: 杨波(通信作者),女,1968年出生,博士,教授,硕士研究生导师。主要研究方向为产品数字化、智能化设计等。E-mail:me_yangb@ujn.edu.cn
作者简介:李金萍,女,1997年出生。主要研究方向为产品数字化、智能化设计。E-mail:2727672683@qq.com;王殿熙,男,1998年出生,硕士研究生。主要研究方向为产品数字化、智能化设计。E-mail:857129790@qq.com
基金资助:
国家自然科学基金(51775239)和山东省自然科学基金(ZR2020ME137)资助项目。

Traceability Analysis of Design Quality Characteristics Based on Association Network

LI Jinping, YANG Bo, WANG Dianxi, CHENG Baozhong, LIU Yanchao, GAO Changqing

School of Mechanical Engineering, University of Jinan, Jinan 250022

Received:2022-02-18 Revised:2022-09-15 Online:2023-02-05 Published:2023-04-23

摘要/Abstract

摘要： 追本溯源为质量问题纠正的前提,为实现产品设计过程中质量问题的源头追踪,基于产品设计质量特性的关联关系和波动传播机制,提出了设计质量特性波动溯源分析方法。首先,提出了基于矩阵运算的多领域关联信息的统一建模方法,以产品的设计规则和装配关系为基础关联信息,建立了设计质量特性局部关联矩阵,并通过矩阵运算得到设计质量特性全局关联矩阵,进而映射为设计质量特性全局关联网络,建立了完整的、可追溯的设计质量特性关联模型;然后,提出了波动影响的量化分析方法,建立了节点的波动度量化模型和关联边的波动传播强度量化规则,基于此可对不同关联传播形态的波动传播进行风险量化评估;在上述研究的基础上,通过对质量问题-问题原因-设计质量特性多层网络进行分析,得到针对某一特定质量问题的象设计质量特性,对设计质量特性关联网络进行上游广度优先搜索,并进行设计质量特性波动诊断,得到源波动设计质量特性及其波动路径,对波动路径的波动传播风险进行量化分析即可得到最终溯源结果。最后,通过起重机卷筒变形实例验证了该方法的有效性;结果表明,相较于其他算法,该方法在准确性以及算法效率和成本的平衡方面更具有优势。

关键词: 质量问题, 关联网络, 设计质量特性, 波动传播, 波动溯源

Abstract: Tracing the source is the premise of quality problem correction. In order to trace the source of the quality problem in the process of product design, a traceability method based on association network is proposed by the studying of the correlation and fluctuation propagation mechanism of product design quality characteristic. First of all, a unified modeling method of multi-domain association information based on matrix computation is proposed. The local correlation matrices of design quality characteristics are established with the design rules and assembly relationships of products as the basic correlation information. The global correlation matrix of design quality characteristics is obtained through the matrix computation between local correlation matrices, which is then mapped into a global correlation network of design quality characteristics, and a complete and traceable correlation model of design quality characteristics is established. Furthermore, a quantitative analysis method for the impact of fluctuations is proposed. The quantitative model for the fluctuation metric of nodes and quantitative rules for the intensity of fluctuation propagation of associated edges are established, based on which the risk propagation of different associated propagation patterns can be quantitatively assessed. Then, on the basis of the abovementioned study, the surface design quality characteristics for a specific quality problem are obtained by analyzing the multi-layer network of quality problem-problem cause-design quality characteristics, the upstream breadth-first search is carried out on the association network of design quality characteristics, and the fluctuation diagnosis is carried out to obtain the design quality characteristics of the source fluctuation and its fluctuation path. The final tracing result can be obtained by quantitative analysis of the fluctuation propagation risk of the fluctuation path. Finally, an example of crane drum deformation is given to verify the effectiveness of the proposed method. The results show that the method has advantages over other algorithms in terms of accuracy and the balance between algorithmic efficiency and cost.

Key words: quality problem, association network, design quality characteristic, fluctuation propagation, fluctuation tracing

中图分类号:

TH12

李金萍, 杨波, 王殿熙, 成保忠, 刘彦超, 高常青. 基于关联网络的设计质量特性波动溯源分析[J]. 机械工程学报, 2023, 59(3): 249-264.

LI Jinping, YANG Bo, WANG Dianxi, CHENG Baozhong, LIU Yanchao, GAO Changqing. Traceability Analysis of Design Quality Characteristics Based on Association Network[J]. Journal of Mechanical Engineering, 2023, 59(3): 249-264.

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基于关联网络的设计质量特性波动溯源分析

Traceability Analysis of Design Quality Characteristics Based on Association Network

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