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Supporting Analogical Transfer in Biologically Inspired Design

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Biologically Inspired Design

Abstract

Biologically inspired design (BID) is an emergent area of research for understanding design with biological mechanisms as inspiration, and for supporting systematic BID for developing creative designs. Understanding and supporting the processes of analogical transfer, whereby potential biological material is identified and adapted to solve engineering problems, is the focus of this chapter. Two questions are asked: At what level does analogical transfer take place? How to support analogical transfer? Our empirical studies show that transfer generally takes place at four levels of abstraction: state change, organ, attribute, and part. When unaided, BID is dominated by transfer at part, attribute, and organ levels, which reduces potential for creativity. This led to development of new guidelines for supporting systematic analogical transfer, an Integrated Framework for designing to encourage transfer at each level of abstraction, and a computational tool called ‘Idea-Inspire’ to provide analogically relevant biological stimuli for inspiration at any of these levels. Comparative studies using these interventions show significant increase in the number of transferred designs when aided by these interventions and a shift in the majority of the transfer to state change and organ levels, thereby increasing the potential for greater creativity.

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References

  • Alexander, C. (1977) A pattern language: towns, buildings, construction. Oxford University Press, Oxford

    Google Scholar 

  • Amabile TM (1996) Creativity in context. Westview Press, Colorado

    Google Scholar 

  • Amabile TM (1983) The social psychology of creativity. Springer, New York

    Book  Google Scholar 

  • Benami O, Jin Y (2002) Creative stimulation in conceptual design. In: Proceedings of ASME design engineering technical conferences and computers and information in engineering conference (DETC/CIE), Montreal, DETC2002/DTM-34023

    Google Scholar 

  • Blessing LTM, Chakrabarti A (2009) DRM, a design research methodology. Springer, London

    Book  Google Scholar 

  • Chakrabarti A, Bligh TP, Holden T (1992) Towards a decision-support framework for the embodiment phase of mechanical design. AI in Eng 7(1):21–36

    Google Scholar 

  • Chakrabarti A (2000) Increasing efficiency of compositional synthesis by improving the database of its building blocks, AI EDAM, vol 14. Cambridge University Press, Cambridge, pp 403–414

    Google Scholar 

  • Chakrabarti A (2001) Improving efficiency of procedures for compositional synthesis using bi-directional search. AI EDAM 15(1):67–80

    Google Scholar 

  • Chakrabarti A (2004) A new approach to structure sharing. ASME JCISE 1(1):1–78

    Google Scholar 

  • Chakrabarti A, Shu LH (2010) Guest editorial: biologically inspired design. AI EDAM 24:453–454

    Google Scholar 

  • Chakrabarti A, Tang, MX (1996) Generating conceptual solutions on FuncSION: evolution of a functional synthesiser. In: Gero S, Sudweeks F (eds) Artificial intelligencedesign’96. Kluwer Academic Publishers, Dordrecht, pp 603–622

    Google Scholar 

  • Chakrabarti A, Singh V (2007) A method for structure sharing to enhance resource-effectiveness. J Eng Des 18(1):73–91

    Article  Google Scholar 

  • Chakrabarti A, Cagan J, Shea K, Campbell M, Stone R, Vergas-Hernandez N, Wood K (2011) Computer based design synthesis research: an overview. ASME JCISE 11(2):021003-1–021003-10

    Google Scholar 

  • Chakrabarti A, Morgenstern S, Knaab H (2004) Identification and application of requirements and their impact on the design process: a protocol study. Res Eng Design 15:22–39

    Article  Google Scholar 

  • Chakrabarti A, Sarkar P, Leelavathamma B, Nataraju B (2005) A functional representation for aiding biomimetic and artificial inspiration of new ideas. AI EDAM 19(2):113–132

    Google Scholar 

  • CheongH, ChiuI, Shu LH (2010) Extraction and transfer of biological analogies for creative concept generation. In: Proceedings of ASME international design engineering technical conferences and computers and information in engineering conference, Montreal, QC, Canada, 15–18 Aug 2010, DETC2010-29006

    Google Scholar 

  • Chiu I, Shu LH (2007) Biomimetic design through natural language analysis to facilitate cross-domain information retrieval. AI EDAM 21:45–59

    Google Scholar 

  • Csikszentmihalyi M (1997) Finding flow: the psychology of engagement with everyday life. BasicBooks, New York

    Google Scholar 

  • Fricke G (1996) Successful individual approaches in engineering design. Res Eng Design 8(3):151–165

    Article  MathSciNet  Google Scholar 

  • Goel AK, Bhatta SR (2004) Use of design patterns in analogy-based design. Adv Eng Inform 18(2):85–94

    Article  Google Scholar 

  • Gordon WJJ (1961) Synectics. Harper & Row, NY

    Google Scholar 

  • Gramann J (2004) Problemmodelle und Bionik als Methode. Dissertation, TU, Munich

    Google Scholar 

  • Hacco E, Shu L (2002) Biomimetic concept generation applied to design for remanufacture. In: Proceedings of ASME design engineering technical conferences and computers and information in engineering conference, Montreal, 29 Sept to 2 Oct 2002, DETC2002/DFM-34177

    Google Scholar 

  • Helms ME, Vattam SS, Goel AK (2009) Biologically inspired design: process and products. Des Stud 30(5):606–622

    Article  Google Scholar 

  • Hill B (1997) Innovationsquelle natur: naturorientierte innovationsstrategie für entwickler. Konstrukteure und Designer, Shaker, Aachen, Germany

    Google Scholar 

  • Hill, B. (2005) Goal setting through contradiction analysis in the bionics-oriented construction process. CIM, 14, 19, 59–65. Blackwell Publishing Ltd, Oxford/USA, p 33

    Google Scholar 

  • Hon KKB, Zeiner J (2004) Knowledge brokering for assisting the generation of automotive product design. Annals CIRP 53(1):159–162

    Article  Google Scholar 

  • Mann D (2001) System operator tutorial—9—windows on the world. The TRIZ Journal. http://www.triz-journal.com/archives/2001/09/c/index.htm as at 20 April 2010

  • Nagel JKS, Nagel RL, Stone RB, McAdams DA (2010) Function-based, biologically-inspired concept generation. AI EDAM 24(4):521

    Google Scholar 

  • Nidamarthi S, Chakrabarti A, Bligh TP (1997) The significance of co-evolving requirements and solutions in the design process. In: International conference of engineering design pp 227–230

    Google Scholar 

  • Ranjan BSC, Srinivasan V, Chakrabarti A (2012) An extended, Integrated Model of designing. In: Horváth AA, Behrendt M, Rusák Z (eds.) TMCE 2012, Karlsruhe, Germany

    Google Scholar 

  • Sarkar P, Chakrabarti A (2011) Assessing design creativity. Design stud 32(4): 348–383

    Google Scholar 

  • Sarkar P, Phaneendra S, Chakrabarti A (2008) Developing engineering products using inspiration from nature. ASME J Inf Sci Eng 8:3

    Google Scholar 

  • Sarkar P, Chakrabarti A (2007a) Understanding search in design. In: International conference on engineering design (ICED07), Paris, France

    Google Scholar 

  • Sarkar P, Chakrabarti A (2007b) Development of a method for assessing design creativity. In: International conference on engineering design (ICED07), Paris, France

    Google Scholar 

  • Sartori J, Pal U, Chakrabarti A (2010) A methodology for supporting “transfer” in biomimetic design. AI EDAM 24:483–505

    Google Scholar 

  • Schild K, Herstatt C, Lüthje C (2004) How to use analogies for breakthrough innovations. Institute of Technology and Innovation Management, Technical University of Hamburg

    Google Scholar 

  • Schmidt JC (2005) Bionik und Interdisziplinarität. Wege zu einer bionischen Zirkulationstheorie der Interdisziplinarität. In: Rossmann T, Tropea C. (Hrsg.): Bionik. Aktuelle Forschungsergebnisse aus Natur-, Ingenieur- und Geisteswissenschaften. Springer, Berlin, pp 219–246

    Google Scholar 

  • Shu LH (2010) A natural-language approach to biomimetic design. Artif Intell Eng Des Anal Manuf 24:507–519

    Google Scholar 

  • Srinivasan V, Chakrabarti A (2010a) Investigating novelty-outcome relationships in engineering design. AI EDAM 24(2):161–178

    Google Scholar 

  • Srinivasan V (2011) Supporting novelty in conceptual phase of engineering design, Ph D Thesis, Indian Institute of Science, Bangalore, India

    Google Scholar 

  • Srinivasan V, Chakrabarti A (2010b) An Integrated Model of designing. JCISE 10(3):031013

    Google Scholar 

  • Srinivasan V, Chakrabarti A (2009) SAPPhIRE—an approach to analysis and synthesis. In: Proceedings of international conference on engineering design [ICED09], Stanford, USA

    Google Scholar 

  • Srinivasan V, Chakrabarti A, Pal U, Ranjan BSC, Ojha SP, Ranganath R (2011) Supporting process and product knowledge in biomimetic design. Int J Design Eng 4(2):132–158

    Google Scholar 

  • Sternberg RJIT, Lubart TI (1999) The concept of creativity: prospects and paradigms. In Sternberg RJ (ed) Handbook of creativity. CUP, NY, pp 3–16

    Google Scholar 

  • Terninko J, Zusman A, Zlotin B (1998) Systematic innovation. An introduction to TRIZ (Theory of Inventive Problem Solving). St. Lucie Press, Boca Raton

    Google Scholar 

  • Tseng I, Moss J, Cagan J, Kotovsky K (2008) The role of timing and analogical similarity in the stimulation of idea generation in design. Des Stud 29:203–221

    Article  Google Scholar 

  • Ulrich KT, Seering WP (1990) Function sharing in mechanical design. Des Stud 11(4):223–234

    Article  Google Scholar 

  • Vakili V, Chiu I, Shu LH, McAdams D, Stone R (2007) Including functional models of biological phenomena as design stimuli. In: Proceedings of ASME international design eng. technical conferences and computers and information in engineering conference, Las Vegas, NV, USA, Sept 4–7 2007, DETC2007-35776 (DTM)

    Google Scholar 

  • Vattam SS, Helms ME, Goel AK (2008): Compound analogical design: interaction between problem decomposition and analogical transfer in biologically inspired design. In: Proceedings of 3rd international conference on design computing and cognition, Atlanta, Springer, Berlin, pp 377–396

    Google Scholar 

  • Vattam S, Wiltgen B, Helms M, Goel AK, Yen J (2010a) DANE: fostering creativity in and through biologically inspired design. In: Procedings of 1st International conference on design creativity (ICDC2010), Kobe, Japan

    Google Scholar 

  • Vattam SS, Helms ME, Goel AK (2010b) A content account of creative analogies in biologically inspired design. AI EDAM 24:467–481

    Google Scholar 

  • Vincent J, Mann D (2002) Systematic technology transfer from biology to engineering. Philos Trans R Soc Phys Sci 360:159–173

    Google Scholar 

  • Vincent JFV, Bogatyreva OA, Bogatyrev NR, Bowyer A, Pahl AK (2006) Biomimetics: its practice and theory. J R Soc Interface 3:471–482

    Article  Google Scholar 

  • Wilson J, Chang P, Yim S., Rosen D (2009) Developing a bio-inspired design repository using ontologies. In: Proceedings of ASME design eng. technical conferences and computers and information in engineering conference, IDETC/CIE, San Diego, DETC2009-87272

    Google Scholar 

  • Wilson JO, Rosen D (2007) Systematic reverse engineering of biological systems. In: Proceedings of ASME design engineering technical conferences and computers and information in engineering conference (IDETC/CIE), Las Vegas, DETC2007/DTM-35395

    Google Scholar 

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Correspondence to Amaresh Chakrabarti .

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Chakrabarti, A. (2014). Supporting Analogical Transfer in Biologically Inspired Design. In: Goel, A., McAdams, D., Stone, R. (eds) Biologically Inspired Design. Springer, London. https://doi.org/10.1007/978-1-4471-5248-4_8

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  • DOI: https://doi.org/10.1007/978-1-4471-5248-4_8

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  • Online ISBN: 978-1-4471-5248-4

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