上海交通大学学报(英文版) ›› 2014, Vol. 19 ›› Issue (2): 190-198.doi: 10.1007/s12204-014-1489-3

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Research on Function Based Method for Bio-Inspiration Knowledge Modeling and Transformation

GU Chao-chen (谷朝臣), HU Jie* (胡 洁), PENG Ying-hong (彭颖红)   

  1. (Institute of Electromechanical Design and Knowledge Based Engineering, School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • 出版日期:2014-04-30 发布日期:2014-04-29
  • 通讯作者: HU Jie(胡 洁) E-mail:HU Jie(胡 洁)

Research on Function Based Method for Bio-Inspiration Knowledge Modeling and Transformation

GU Chao-chen (谷朝臣), HU Jie* (胡 洁), PENG Ying-hong (彭颖红)   

  1. (Institute of Electromechanical Design and Knowledge Based Engineering, School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • Online:2014-04-30 Published:2014-04-29
  • Contact: HU Jie(胡 洁) E-mail:HU Jie(胡 洁)

摘要: Biological inspirations are good design mimicry resources. This paper proposes a function based approach for modeling and transformation of bio-inspiration design knowledge. A general functional modeling method for biological domain and engineering domain design knowledge is introduced. Functional similarity based bio-inspiration transformation between biological domain and engineering domain is proposed. The biological function topology transfer and analog solution recomposition are also discussed in this paper.

关键词: bio-inspired design, functional modeling, ontology, functional reasoning, knowledge transfer

Abstract: Biological inspirations are good design mimicry resources. This paper proposes a function based approach for modeling and transformation of bio-inspiration design knowledge. A general functional modeling method for biological domain and engineering domain design knowledge is introduced. Functional similarity based bio-inspiration transformation between biological domain and engineering domain is proposed. The biological function topology transfer and analog solution recomposition are also discussed in this paper.

Key words: bio-inspired design, functional modeling, ontology, functional reasoning, knowledge transfer

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