A Design Method of Complex Nonlinear Systems Based on Ideal Degree and Rough Number Multiple Attribute Decision

被引:1
|
作者
Gong J. [1 ]
Teng X. [2 ]
Zhang Y. [3 ]
机构
[1] School of Mechanical Engineering, Shandong University of Technology, Zibo, 255049, Shandong
[2] Goertek Technology Limited Company, Qingdao, 266000, Shandong
[3] School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo, 255049, Shandong
来源
Zhang, Yanfei (84374294@qq.com) | 1600年 / Chinese Mechanical Engineering Society卷 / 31期
关键词
Design-centric complexity; Ideal degrees; Innovative design; Nonlinear system; Rough set theory; Theory of inventive problem solving(TRIZ);
D O I
10.3969/j.issn.1004-132X.2020.04.014
中图分类号
学科分类号
摘要
Aiming at fuzzy uncertainty of design features and requirements in the conceptual design stage of products, a design method of complex nonlinear systems based on ideal degree and rough number multi-attribute decision was proposed. The set of target technical systems and the set of super systems were determined, and the subsystem was solved at the ideal level. A functional structure model and the product design characteristics hierarchy diagram were established. Based on rough number, the weight factor was calculated. Then the relative evaluation results of design requirements were calculated, and complexity of the target subsystems was analyzed. The system complexity was eliminated by using TRIZ. The feasibility and effectiveness of the proposed method were verified by an example of lower extremity exoskeleton engineering. © 2020, China Mechanical Engineering Magazine Office. All right reserved.
引用
收藏
页码:465 / 471and481
相关论文
共 16 条
  • [1] Lu S.C.Y., Suh N.P., Complexity in Design of Technology System, CIRP Annals-Manufacturing Technology, 58, 1, pp. 157-160, (2009)
  • [2] Lu S.C.Y., Liu A., Subjectivity and Objectivity in Design Decisions, CIRP Annals-Manufacturing Technology, 60, 1, pp. 161-164, (2011)
  • [3] Zhang P., Zhang J., Dong Y., Et al., Analysis Process Model of Design-centric Complexity Based on Additional Effect, Computer Integrated Manufacturing Systems, 24, 2, pp. 444-454, (2018)
  • [4] Li Y., Lian X., Lu C., Et al., Evaluation Approach to Rank Module Partition Schemes of Complex Products Based on Hybrid Fuzzy Multi-attribute Decision Making, Journal of Shanghai Jiao Tong University, 51, 11, pp. 1374-1382, (2017)
  • [5] Czinki A., Hentschel C., Solving Complex Problems and TRIZ, Procedia CIRP, 39, pp. 27-32, (2016)
  • [6] Caco M., Kohar R., Hrcek S., Et al., Use the Method of TRIZ in Optimizing Automated Machine for Ultrasonic Welding, Procedia Engineering, 192, pp. 80-85, (2017)
  • [7] Ping E., Tan R., Sun J., Research on Ideas Generation Process for Mechanical Product Radical Innovation Based on TRIZ, China MechanicalEngineering, 25, 18, pp. 2439-2446, (2014)
  • [8] Zhou J., Gui F., Zhao Y., Et al., Model and Application of Product Conflict Problem with Integrated TRIZ and Extenics for Low-carbon Design, Procedia Computer Science, 122, pp. 384-391, (2017)
  • [9] Liu B., Huang S., Fan W., Et al., Data Driven Uncertainty Evaluation for Complex Engineered System Design, Chinese Journal of Mechanical Engineering, 29, 5, pp. 889-900, (2016)
  • [10] Taha Z., Soewardi H., Dawal S.Z.M., Axiomatic Design Principles in Analysing the Ergonomics Design Parameter of a Virtual Environment, International Journal of Industrial Ergonomics, 44, 3, pp. 368-373, (2014)