Reverse Reasoning Technology for Product Key Design Quality Characteristics Based on Fault Feedback

被引:0
|
作者
Li J. [1 ]
Yang B. [1 ]
Ma N. [1 ]
Liu Y. [1 ]
Wang D. [1 ]
Cheng B. [1 ]
机构
[1] School of Mechanical Engineering, University of Jinan, Jinan
关键词
Characteristics identifying; Characteristics sequencing; Correlation model; Fault feedback; Key design quality characteristics; Reverse reasoning;
D O I
10.3969/j.issn.1004-132X.2022.02.007
中图分类号
学科分类号
摘要
In order to reduce the subjectivity of identifying the key design quality characteristics of products and ensure the scientific sequencing, a method of identifying and sequencing key design quality characteristics of products by reverse reasoning from the perspective of fault feedback was proposed. Firstly, in order to reduce the fuzziness and redundancy of information in fault analysis, product element faults were extracted based on extension operation. Taking the meta-fault, the fault cause and the key design quality characteristics as the basic correlation elements in the reverse reasoning processes, the extended correlation model of key design quality characteristics was established by analyzing the vertical correlation between different levels of "meta fault-failure cause-key design quality characteristics" and the horizontal correlation between same level. Based on this model, a quantitative expression model and algorithm for the influence breadth and influence depth of key design quality characteristics were established, and a quantitative ranking of key design quality characteristics was realized through directed graph and failure mode and impact analysis. Finally, the effectiveness of the proposed method was verified by a case of crane hoisting mechanism. © 2022, China Mechanical Engineering Magazine Office. All right reserved.
引用
收藏
页码:176 / 186
页数:10
相关论文
共 24 条
  • [1] GUO Qian, WANG Zengqiang, PU Yun, Product Concept Decision Making Method Based on House of Qualitty and Sorting Organization Method, China Mechanical Engineering, 25, 18, pp. 2496-2500, (2014)
  • [2] JING Hongying, ZHANG Li, WEN Bangchun, House of Quality Demand Optimization Based on Improving Product Quality, China Mechanical Engineering, 21, 1, pp. 94-98, (2010)
  • [3] ZHANG L, JIN Z, ZHENG Y, Et al., Mechanical Product Ecological Design Knowledge Reduction Based on Rough Set, Procedia CIRP, 80, 1, pp. 33-38, (2019)
  • [4] JIN Chao, Research on Quality Control Technology of Product Design Process Based on Quality Characteristics, (2019)
  • [5] DENG Jun, YU Zhonghua, WU Zhaotong, Mapping Between Product Quality and Process Quality, China Mechanical Engineering, 21, 17, pp. 2070-2074, (2010)
  • [6] ZHANG Genbao, PANG Jihong, REN Xianlin, Et al., Importance Sorting Method for Multiple Quality Characteristics of Mechanical Product, Computer Integrated Manufacturing System, 17, 1, pp. 151-158, (2011)
  • [7] POPOFF A, MILLET D., Sustainable Life Cycle Design Using Constraint Satisfaction Problems and Quality Function Deployment, Procedia CIRP, 61, 2, pp. 75-80, (2017)
  • [8] CUI J, HE Y, ZHU C, Et al., Product Quality Accidents Risk Analyzing Approach Based on the Extended FTA and Failure Cost, Procedia CIRP, 56, 10, pp. 502-507, (2016)
  • [9] YAN Zhengfeng, CHENG Weiping, Product Quality Function Expansion Method Based on Improved Risk Sequence Number, Journal of Hefei University of Technology (Natural Science Edition), 40, 5, pp. 582-588, (2017)
  • [10] PANG Jihong, ZHANG Genbao, ZHOU Hongming, Et al., Reverse Mapping of Precision Design Quality Characteristics of NC Machine Tools Based on Rough Set, Chinese Journal of Mechanical Engineering, 48, 5, pp. 101-107, (2012)