Brain-like Behavior Effect-inspiring and Principle Structure-combining Method for Mechanical Product Conceptual Design

doi:10.3901/JME.2023.24.344

Abstract

Abstract: The research of mechanical product conceptual design is a hot topic in modern design theory. Its core is function-structure mapping, which aims to solve the combination of principle structures satisfying the design constraints according to the functional requirements and using behavior effect as the intermediate carrier. Based on the function-structure mapping theory and the neural mechanism of the designer’s brain cognitive process, a brain-like behavior effect-inspiring and principle structure-combining method is proposed. The memory inspiration mechanism of the frontal lobe-hippocampus neural circuit is revealed. Then a memory-inspired reinforcement learning model for behavior effect refactoring is constructed. The dopamine-regulated Q learning is utilized to realize the process of behavioral effects restructuring and cognitive transmission. Moreover, the reflex regulation mechanism of the modularized cerebellum is revealed, and a constraint satisfaction neural network is constructed based on fully connected multilayer perceptron and recurrent neural networks. This can form the operant conditioning under complex design constraints to judge the constraint solvability, and then provide combinatorial solutions for principle structures. A case study is conducted to illustrate the feasibility of the proposed method.

Key words: conceptual design, function-structure mapping, design cognition, reinforcement learning, constraint satisfaction neural network

CLC Number:

TG156

LOU Shanhe, FENG Yixiong, ZHENG Hao, HU Bingtao, HONG Zhaoxi, TAN Jianrong. Brain-like Behavior Effect-inspiring and Principle Structure-combining Method for Mechanical Product Conceptual Design[J]. Journal of Mechanical Engineering, 2023, 59(24): 344-358.

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