• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (18): 80-94.doi: 10.3901/JME.2023.18.080

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Research on Functional Self-recovery Design Process Based on Design-centric Complexity Theory

ZHANG Peng1,2, SU Yunpeng1,2, LIU Weisheng1,2, NIE Zifeng1,2, LUO Yang1,2   

  1. 1. College of Mechanical Engineering, Hebei University of Technology, Tianjin 300130;
    2. National Technology Innovation Method and Implementation Tool Engineering Technology ResearchCenter of Hebei University of Technology, Tianjin 300130
  • Received:2022-10-25 Revised:2023-05-20 Online:2023-09-20 Published:2023-12-07

Abstract: Compared with the biological self-recovery process, the artificial self-recovery theory provides a new perspective for reducing the complexity of the system design process. At present, the research on artificial self-recovery theory mostly focuses on the structural and parametric levels, and there are few related researches on the artificial self-recovery theory at the functional level. Combining artificial self-recovery theory with design-centric complexity theory, a functional self-recovery design process model based on design-centric complexity theory is proposed. Functional self-recovery is a beneficial supplement to structural self-recovery and parametric self-recovery in artificial self-recovery theory, aiming at reducing system complexity and improving system self-recovery ability at functional level. In the conceptual design stage, the system functions are classified by types through the transformation method of function unit-function model and the system function rank algorithm in TRIZ. Relying on the sorting of functional rank, a criterion for determining the priority of function self-recovery is proposed. By constructing a function period in the system, the probability of system function realization is improved, and the target function is given function self-diagnosis and function self-recovery ability in the function period to extend the function period and further improve the system function realization probability. Combining functional self-recovery with structural self-recovery and parametric self-recovery, the artificial self-recovery ability of the system is improved. Finally, the scientific nature of the functional self-recovery theory is verified through the design process of the intelligent photovoltaic dust removal system.

Key words: design-centric complexity, artificial self-recovery, functional self-recovery, functional period

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