Research on Interactive Conceptual Design and Knowledge Reasoning Method of Resilient Products

doi:10.3901/JME.2023.11.074

Abstract

Abstract: Designing resilient products with better fault tolerance and correction space, and effectively responding to disturbances caused by complex environments, is one of the key factors for future smart product innovation. Traditional conceptual design research emphasizes demand transformation and function-structure mapping, ignoring the impact of environmental disturbances on design goals, leading to problems such as fuzzy knowledge reasoning in the conceptual design process and unstable product resilience levels. The manuscript aims to design resilient products that are resistant to disturbances and can recover themselves from damage or impact, an interactive concept-solving process model for resilient products is proposed. Based on the forward convergence of “customer requirement” and the reverse disturbance of “complex environment”, the design goal understanding and function decomposition under “requirement-disturbance” of resilient products are constructed, and the knowledge reasoning extension method based on requirement function knowledge deployment (RFKD) and multi-stage interactive genetic algorithm for resilient conceptual design (MIGA-RCD). Taking the conceptual design process of a certain type of intelligent hoisting platform in a nuclear environment as an example to verify the feasibility and effectiveness of the method.The results are innovative in the theoretical study of resilient conceptual design under the influence of interference-intention-solution interactions and help to achieve intelligent solution and reasoning for design schemes.

Key words: resilience products, conceptual design, interactive genetic algorithm, knowledge reasoning

CLC Number:

TG156

GUO Xin, WANG Haihan, WANG Jie, ZHANG Kai, ZHAO Wu. Research on Interactive Conceptual Design and Knowledge Reasoning Method of Resilient Products[J]. Journal of Mechanical Engineering, 2023, 59(11): 74-83.

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