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

doi:10.1007/s12204-014-1489-3

Abstract

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

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

CLC Number:

TH 122

GU Chao-chen (谷朝臣), HU Jie* (胡洁), PENG Ying-hong (彭颖红). Research on Function Based Method for Bio-Inspiration Knowledge Modeling and Transformation[J]. Journal of shanghai Jiaotong University (Science), 2014, 19(2): 190-198.

References

[1] Benyus J M. Biomimicry: Innovation inspired by nature[M]. New York: William Morrow & Company,1997.
[2] Bonser R H C, Vincent J F V. Technology trajectories,innovation, and the growth of biomimetics [J].Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science,2007, 221(10): 1177-1180.
[3] Vincent J F V, Mann D L. Systematic technology transfer from biology to engineering [J]. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences,2002, 360(1791): 159-173.
[4] Bryant C R, McAdams D A, Stone R B, et al. A computational technique for concept generation[C]//ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. California, USA:American Society of Mechanical Engineers, 2005: 267-276.
[5] Kurtoglu T, Campbell M I, Linsey J S. An experimental study on the effects of a computational design tool on concept generation [J]. Design Studies, 2009,30(6): 676-703.
[6] Clark J E, Cham J G, Bailey S A, et al. Biomimetic design and fabrication of a hexapedal running robot[C]//2001 IEEE International Conference on Robotics and Automation. Seoul, Korea: IEEE, 2001: 3643-3649.
[7] Hu T, Shen L, Lin L, et al. Biological inspirations,kinematics modeling, mechanism design and experiments on an undulating robotic fin inspired by Gymnarchus niloticus [J]. Mechanism and Machine Theory,2009, 44(3): 633-645.
[8] Fratzl P. Biomimetic materials research: What can we really learn from nature’s structural materials? [J].Journal of the Royal Society: Interface, 2007, 4(15):637-642.
[9] Eadie L, Ghosh T K. Biomimicry in textiles: Past,present and potential. An overview [J]. Journal of the Royal Society: Interface, 2011, 8(59): 761-775.
[10] Yeom S W, Oh I K. A biomimetic jellyfish robot based on ionic polymer metal composite actuators [J].Smart Materials and Structures, 2009, 18(8): 085002.
[11] Bar-Cohen Y. Biomimetics: Mimicking and inspired by biology [C]//Proceedings of the SPIE Smart Structures Conference. San Diego, CA: SPIE Digital Library,2005.
[12] Goel A K, Vattam S, Wiltgen B, et al. Cognitive,collaborative, conceptual and creative — four characteristics of the next generation of knowledge-based CAD systems: A study in biologically inspired design [J]. Computer-Aided Design, 2012, 44(10): 879-900.
[13] Bar-Cohen Y. Biomimetics —using nature to inspire human innovation [J]. Bioinspiration & Biomimetics,2006, 1(1): 1-12.
[14] Helms M, Vattam S S, Goel A K. Biologically inspired design: Process and products [J]. Design Studies,2009, 30(5): 606-622.
[15] Shu L H, Ueda K, Chiu I, et al. Biologically inspired design [J]. CIRP Annals - Manufacturing Technology,2011, 60(2): 673-693.
[16] Chiu I, Shu L H. Biomimetic design through natural language analysis to facilitate cross-domain information retrieval [J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2007, 21(1):45-59.
[17] Mak T W, Shu L H. Abstraction of biological analogies for design [J]. CIRP Annals-Manufacturing Technology,2004, 53(1): 117-120.
[18] Mak T W, Shu L H. Using descriptions of biological phenomena for idea generation [J]. Research in Engineering Design, 2008, 19(1): 21-28.
[19] Vattam S S, Helms M E, Goel A K. A content account of creative analogies in biologically inspired design[J]. Artificial Intelligence for Engineering Design,Analysis and Manufacturing, 2010, 24(4): 467-481.
[20] Stroble J K, Stone R B, Mcadams D A, et al. Automated retrieval of non-engineering domain solutions to engineering problems [C]//Proceedings of the 19th CIRP Design Conference–Competitive Design. London:Cranfield University Press, 2009.
[21] Chakrabarti A, Sarkar P, Leelavathamma B, et al. A functional representation for aiding biomimetic and artificial inspiration of new ideas [J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing,2005, 19(2): 113-132.
[22] Shu L H, Stone R B, McAdams D A, et al. Integrating function-based and biomimetic design for automatic concept generation [C]//International Conference on Engineering Design. Paris, France: Special Science and Industry Museum Victoria Ray, 2007: 28-31.
[23] Nagel R L, Midha P A, Tinsley A, et al. Exploring the use of functional models in biomimetic conceptual design [J]. Journal of Mechanical Design, 2008,130(12): 11-23.
[24] Nagel J K S, Nagel R L, Stone R B, et al.Function-based, biologically inspired concept generation[J]. Artificial Intelligence for Engineering Design,Analysis and Manufacturing, 2010, 24(4): 521-535.
[25] Cheong H, Chiu I, Shu L H, et al. Biologically meaningful keywords for functional terms of the functional basis [J]. Journal of Mechanical Design, 2011, 133(2):021007.
[26] Stone R B, Wood K L. Development of a functional basis for design [J]. Journal of Mechanical Design,2000, 122(4): 359-369.
[27] Cowan F S, Allen J K, Mistree F. Functional modelling in engineering design: A perspectival approach featuring living systems theory [J]. Systems Research and Behavioral Science, 2006, 23(3): 365-381.
[28] Umeda Y, Tomiyama T. Functional reasoning in design[J]. IEEE Expert, 1997, 12(2): 42-48.
[29] Bohm M R, Stone R B. Representing functionality to support reuse: Conceptual and supporting functions[C]//Proceedings of DETC. Salt Lake City, Utah, USA:American Society of Mechanical Engineers, 2004.
[30] Gero J S, Kannengiesser U. The situated function–behaviour–structure framework [J]. Design Studies,2004, 25(4): 373-391.
[31] Vattam S, Helms M E, Goel A K. Biologicallyinspired innovation in engineering design: A cognitive study [R]. GA, Atlanta, USA: Georgia Institute of Technology, 2007.
[32] Kitamura Y, Mizoguchi R. Ontology-based description of functional design knowledge and its use in a functional way server [J]. Expert Systems with Applications,2003, 24(2): 153-166.
[33] Li S, Hu J, Peng Y H. Representation of functional micro-knowledge cell (FMKC) for conceptual design[J].Engineering Applications of Artificial Intelligence,2010, 23(4): 569-585.
[34] Gu C C, Hu J, Peng Y H, et al. FCBS model for functional knowledge representation in conceptual design[J]. Journal of Engineering Design, 2012, 23(8):577-596.