Traceability Analysis of Design Quality Characteristics Based on Association Network

doi:10.3901/JME.2023.03.249

Abstract

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

CLC Number:

TH12

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.

References

[1] 戴伟,唐晓青. 基于质量特性的产品质量策划模型及应用[J]. 计算机集成制造系统,2009,15(10):1938-1945.
DAI Wei,TANG Xiaoqing. Quality planning model based on quality characteristics and its application[J]. Computer Integrated Manufacturing Systems,2009,15(10):1938-1945.
[2] 庞继红,张根保,周宏明,等.基于粗糙集的数控机床精度设计质量特性反向映射研究[J]. 机械工程学报,2012,48(5):101-107.
PANG Jihong,ZHANG Genbao,ZHOU Hongming,et al. Study on reverse mapping of accuracy design quality characteristics for numerical control machine based on rough set[J]. Journal of Mechanical Engineering,2012,48(5):101-107.
[3] POPOFF A,MILLET D. Sustainable life cycle design using constraint satisfaction problems and quality function deployment[J]. Procedia CIRP,2017,61:75-80.
[4] MIAO Y,LIU Y,CHEN Y. Determination of target values of engineering characteristics in QDF using uncertain programming[J]. Journal of Uncertainty Analysis and Applications,2015,3(1):1-20.
[5] 林晓华,冯毅雄,谭建荣,等. 基于量词约束满足的机械产品质量特性稳健优化设计方法[J]. 机械工程学报,2013,49(15):169-179.
LIN Xiaohua,FENG Yixiong,TAN Jianrong,et al. Product quality characteristics robust optimization design based on quantified constraint satisfaction problem[J]. Journal of Mechanical Engineering,2013,49(15):169-179.
[6] FAN J,TAN M H. Shifted log loss Gaussian process model for expected quality loss prediction in robust parameter design[J]. Quality Technology & Quantitative Management,2021,18(5):527-551.
[7] LI W,GAO L,GARG A,et al. Multidisciplinary robust design optimization considering parameter and metamodeling uncertainties[J]. Engineering with Computers,2020,1(38):191-208.
[8] 李玉鹏,李孟泽,王召同. 基于有向加权网络模型的复杂产品多源设计变更传播路径优化[J]. 机械工程学报,2019,55(6):213-222.
LI Yupeng,LI Mengze,WANG Zhaotong. Multi-source design change propagation path optimization for complex product based on weighted and directed network model[J]. Journal of Mechanical Engineering,2019,55(6):213-222.
[9] MA S,JIANG Z,LIU W,et al. Design property network-based change propagation prediction approach for mechanical product development[J]. Chinese Journal of Mechanical Engineering,2017,30(3):676-688.
[10] 贾海利,王爱民,唐承统. 基于产品结构界面关联模型的协调设计技术[J]. 计算机集成制造系统,2011,17(5):897-907.
JIA Haili,WANG Aimin,TANG Chengtong. Coordinate design technology based on product structure interface association model[J]. Computer Integrated Manufacturing Systems,2011,17(5):897-907.
[11] 祝鹏,余建波,郑小云,等. 机械装配过程的偏差传递网络建模与误差溯源[J]. 浙江大学学报,2019,53(8):1582-1593.
ZHU Peng,YU Jianbo,ZHENG Xiaoyun,et al. Variation propagation network-based modeling and error tracing in mechanical assembling process[J]. Journal of Zhejiang University,2019,53(8):1582-1593.
[12] CUI J,HE Y,ZHU C,et al. Product quality accidents risk analyzing approach based on the extended FTA and failure cost[J]. Procedia CIRP,2016,56:502-507.
[13] 王琳,向伟杰,盛步云,等. 基于链接模型的设计质量特性免疫控制方法研究[J]. 机械设计与制造,2019(5):208-212.
WANG Lin,XIANG Weijie,SHENG Buyun,et al. Research on immune control method of design quality characteristics based on link model[J]. Machinery Design & Manufacture,2019(5):208-212.
[14] DUDAN G,WANG Y. QCs-linkage model based quality characteristic variation propagation analysis and control in product development[J]. International Journal of Production Research,2013,51(22):6573-6593.
[15] 唐敦兵,徐荣华,唐吉成,等. 基于设计结构矩阵的工程变更影响分析[J]. 机械工程学报,2010,46(1):154-161.
TANG Dunbing,XU Ronghua,TANG Jicheng,et al. Analysis of engineering change impacts based on design structure matrix[J]. Journal of Mechanical Engineering,2010,46(1):154-161.
[16] 李海涛,杨波,尹晓玲,等. 基于设计结构矩阵和着色Petri网的产品设计过程建模与仿真[J]. 中国机械工程,2014,25(1):108-117.
LI Haitao,YANG Bo,YIN Xiaoling,et al. Product design process modeling and simulation based on DSM and colored petri nets.[J]. Journal of Mechanical Engineering,2014,25(1):108-117.
[17] 罗鹏,李永立,吴冲. 利用网络结构熵研究复杂网络的演化规律[J]. 复杂系统与复杂性科学,2013,10(4):62-68.
LUO Peng,LI Yongli,WU Chong. Complex networks evolutions research using the networks structure entropy[J]. Complex Systems and Complexity Science. 2013,10(4):62-68.
[18] 李金萍,杨波,马宁,等. 基于故障反馈的产品关键设计质量特性逆向推理技术[J]. 中国机械工程,2022,33(2):176-186.
LI Jinping,YANG Bo,MA Ning,et al. Product key design quality characteristics based on fault feedback reverse reasoning technology[J]. China Mechanical Engineering,2022,33(2):176-186.
[19] 唐晓青,王美清,段桂江. 产品设计质量保证理论与方法[M]. 北京:科学出版社,2011.
TANG Xiaoqing. WANG Meiqing,DUAN Guijiang. Product design quality assurance theory and method[M]. Beijing:Science Press,2011.
[20] 郭崇颖,刘检华,唐承统,等. 基于图论的装配尺寸链自动生成技术[J]. 计算机集成制造统,2014,20(12):2980-2990.
GUO Chongying,LIU Jianhua,TANG Chengtong,et al. Automatic generation technology of assembly dimension chain based on graph theory[J]. Computer Integrated Manufacturing Systems,2014,20(12):2980-2990.
[21] 马宁,杨波,刘彦超,等. 基于配合约束的几何公差分配方法[J/OL]. 计算机集成制造系统,1-19[2022-04-04]. http://kns.cnki.net/kcms/detail/11.5946.TP.20210428.1801.016.html
MA Ning,YANG Bo,LIU Yanchao,et al. Method of geometric tolerance allocation based on fit constraints[J/OL]. Computer Integrated Manufacturing Systems,1-19[2022-04-04]. http://kns.cnki.net/kcms/detail/11.5946.TP.20210428.1801.016.html.
[22] KMENTA S. Scenario-Based FMEA:A Life Cycle Cost Perspective[C]//Design Engineering Division. Computers and Information in Engineering Division. Stress Analysis,and Failure Prevention Conference; 7th Flexible Assembly Conference,September 10-13,2000,Baltimore,Maryland,USA:ASME,2000:163-173
[23] 王建伟,荣莉莉,郭天柱. 一种基于局部特征的网络节点重要性度量方法[J]. 大连理工大学学报,2010,50(5):822-826.
WANG Jianwei,RONG Lili,GUO Tianzhu. A new measure method of network node importance based on local characteristics[J]. Journal of Dalian University of Technology,2010,50(5):822-826.