Bionic Prototype Acquisition Incorporating Extension and Multi-level Knowledge Modeling

doi:10.3901/JME.2019.21.150

Abstract

Abstract: A general framework for integrating extension and multi-level knowledge modeling is constructed to address the problems existing in the process of bionic prototype acquisition. The multi-level semantic relationship of the product-biological system is introduced. The extensional model of product system Function-Principle-Behavior-Structure and biology system Structure-Action-Tactic-Function case-element ontology based on the basic-element theory of the extension and its formal description method are built. The product FPBS and the biology SATF mapping relation model are established. The case-element extension set of the product-biology system is made according to the extended nature and the similar method of the basic-element is introduced in the relevant extensional set. Searching a bionic prototype based on the similarity of the two systems is proposed, and a method of extensional comprehensive evaluation is used to optimize the bionic prototype. The screen filter is taken as an example, the feasibility of the overall framework is verified.

Key words: bionic prototype, extension, FPBS, SATF, knowledge modeling, similarity

CLC Number:

TH122

LIU Xiaomin, LI Jiaorong, CHEN Liang, CHENG Guangchi. Bionic Prototype Acquisition Incorporating Extension and Multi-level Knowledge Modeling[J]. Journal of Mechanical Engineering, 2019, 55(21): 150-160.

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