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Beyond analogy: A model of bioinspiration for creative design

  • Camila Freitas Salgueiredo (a1) (a2) (a3) and Armand Hatchuel (a4)
Abstract

Is biologically inspired design only an analogical transfer from biology to engineering? Actually, nature does not always bring “hands-on” solutions that can be analogically applied in classic engineering. Then, what are the different operations that are involved in the bioinspiration process and what are the conditions allowing this process to produce a bioinspired design? In this paper, we model the whole design process in which bioinspiration is only one element. To build this model, we use a general design theory, concept–knowledge theory, because it allows one to capture analogy as well as all other knowledge changes that lead to the design of a bioinspired solution. We ground this model on well-described examples of biologically inspired designs available in the scientific literature. These examples include Flectofin®, a hingeless flapping mechanism conceived for façade shading, and WhalePower technology, the introduction of bumps on the leading edge of airfoils to improve aerodynamic properties. Our modeling disentangles the analogical aspects of the biologically inspired design process, and highlights the expansions occurring in both knowledge bases, scientific (nonbiological) and biological, as well as the impact of these expansions in the generation of new concepts (concept partitioning). This model also shows that bioinspired design requires a special form of collaboration between engineers and biologists. Contrasting with the classic one-way transfer between biology and engineering that is assumed in the literature, the concept–knowledge framework shows that these collaborations must be “mutually inspirational” because both biological and engineering knowledge expansions are needed to reach a novel solution.

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Corresponding author
Reprint requests to: Camila Freitas Salgueiredo, LIVIC-COSYS IFSTTAR, 25 allée des Marronniers, Versailles F-78000, France. E-mail: camila.freitassalgueiredo@ens.univ-evry.fr
References
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Agogué, M., Kazakçi, A., Hatchuel, A., Le Masson, P., Weil, B., Poirel, N., & Cassotti, M. (2014). The impact of type of examples on originality: explaining fixation and stimulation effects. Journal of Creative Behavior 48(1), 112.
Autumn, K., Liang, Y.A., Hsieh, S.T., Zesch, W., Chan, W.P., Kenny, T.W., Fearing, R., & Full, R.J. (2000). Adhesive force of a single gecko foot-hair. Nature 405(6787), 681684.
Badarnah, L., & Kadri, U. (2014). A methodology for the generation of biomimetic design concepts. Architectural Science Review. Advance online publication.
Bar-Cohen, Y. (2012). Biomimetics: Nature Based Innovations. Boca Raton, FL: CRC Press.
Barthlott, W., & Neinhuis, C. (1997). Purity of the sacred lotus, or escape from contamination in biological surfaces. Planta 202(1), 18.
Bartlett, M.D., Croll, A.B., King, D.R., Paret, B.M., Irschick, D.J., & Crosby, A.J. (2012). Looking beyond fibrillar features to scale gecko-like adhesion. Advanced Materials 24(8), 10781083.
Baumgartner, A., Harzheim, L., & Mattheck, C. (1992). {SKO} (Soft Kill Option): the biological way to find an optimum structure topology. International Journal of Fatigue 14(6), 387393.
Benyus, J.M. (1997). Biomimicry: Innovation Inspired by Nature. New York: William Morrow.
Bhushan, B. (2009). Biomimetics: lessons from nature—an overview. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367(1893), 14451486.
Biomimicry 3.8. (2014). Biomimicry design lens: Biomimicry thinking. Accessed at http://-biomimicry.net/about/biomimicry/biomimicry-designlens/biomimicry-thinking/ on October 14, 2014.
Bonser, R.H. (2006). Patented biologically-inspired technological innovations: a twenty year view. Journal of Bionic Engineering 3(1), 3941.
Bushnell, D. M., & Moore, K.J. (1991). Drag reduction in nature. Annual Review of Fluid Mechanics 23(1), 6579.
Cheong, H., & Shu, L. (2013). Using templates and mapping strategies to support analogical transfer in biomimetic design. Design Studies 34(6), 706728.
Chiu, I., & Shu, L. (2007). Biomimetic design through natural language analysis to facilitate cross-domain information retrieval. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 21(1), 4559.
Dawson, C., Vincent, J.F.V., & Rocca, A.-M. (1997). How pine cones open. Nature 390(6661), 668.
Deldin, J.-M., & Schuknecht, M. (2014). The AskNature database: enabling solutions in biomimetic design. In Biologically Inspired Design: Computational Methods and Tools (Goel, A.K., Ed.), pp. 1727. London: Springer–Verlag.
Fish, F.E., & Battle, J.M. (1995). Hydrodynamic design of the humpback whale flipper. Journal of Morphology 225(1), 5160.
Fish, F.E., Weber, P.W., Murray, M.M., & Howle, L.E. (2011). The tubercles on humpback whales’ flippers: application of bio-inspired technology. Integrative and Comparative Biology 51(1), 203213.
Freitas Salgueiredo, C., & Hatchuel, A. (2014). Modeling biologically inspired design with the c-k theory. Proc. Design 2014 Conf., Dubrovnik, Croatia, May 19–22.
Goel, A., Zhang, G., Wiltgen, B., Zhang, Y., Vattam, S., & Yen, J. (2015). The design study library: collecting, analyzing and using case studies of biologically inspired design. Proc. Design Computing and Cognition'14 (Gero, J.S., Ed.), Vol. 14, London, July 19–24.
Goel, A.K., Vattam, S., Wiltgen, B., & Helms, M. (2014). Information processing theories of biologically inspired design. In Biologically Inspired Design: Computational Methods and Tools (Goel, A.K., Ed.), pp. 127152. London: Springer–Verlag.
Hatchuel, A., Le Masson, P., Reich, Y., & Weil, B. (2011). A systematic approach of design theories using generativeness and robustness. Proc. 18th Int. Conf. Engineering Design (ICED 11), Impacting Society Through Engineering Design (Culley, S., Hicks, B., McAloone, T., Howard, T., & Reich, Y., Eds.), Vol. 2, pp. 8797. Copenhagen: ICED.
Hatchuel, A., Le Masson, P., & Weil, B. (2011). Teaching innovative design reasoning: how concept–knowledge theory can help overcome fixation effects. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 25(1), 7792.
Hatchuel, A., & Weil, B. (2003). A new approach of innovative design: an introduction to C-K theory. Proc. 14th Int. Conf. Engineering Design (ICED'03), pp. 109124. Stockholm: ICED.
Hatchuel, A., & Weil, B. (2009). C-k design theory: an advanced formulation. Research in Engineering Design 19(4), 181192.
Hatchuel, A., Weil, B., & Masson, P. (2012). Towards an ontology of design: lessons from C-K design theory and forcing. Research in Engineering Design 24(2), 117.
Helfman Cohen, Y., Reich, Y., & Greenberg, S. (2014, Oct.). Biomimetics: structure–function patterns approach. Journal of Mechanical Design 136(11), 111108.
Helms, M., & Goel, A. (2012). Analogical problem evolution in biologically inspired design. Proc. Design Computing and Cognition ‘12 (Gero, J.S., Ed.), pp. 319. Amsterdam: Springer.
Helms, M., Vattam, S.S., & Goel, A.K. (2009). Biologically inspired design: process and products. Design Studies 30(5), 606622.
Johari, H., Henoch, C.W., Custodio, D., & Levshin, A. (2007). Effects of leading-edge protuberances on airfoil performance. AIAA Journal 45(11), 26342642.
Knippers, J., & Speck, T. (2012). Design and construction principles in nature and architecture. Bioinspiration & Biomimetics 7(1), 015002.
Kroll, E., Le Masson, P., & Weil, B. (2014). Steepest-first exploration with learning-based path evaluation: uncovering the design strategy of parameter analysis with C-K theory. Research in Engineering Design 25(4), 351373.
Kwak, M.K., Pang, C., Jeong, H.-E., Kim, H.-N., Yoon, H., Jung, H.-S., & Suh, K.-Y. (2011). Towards the next level of bioinspired dry adhesives: new designs and applications. Advanced Functional Materials 21(19), 36063616.
Lepora, N.F., Verschure, P., & Prescott, T.J. (2013). The state of the art in biomimetics. Bioinspiration & Biomimetics 8(1), 013001.
Lienhard, J., Poppinga, S., Schleicher, S., Masselter, T., Speck, T., & Knippers, J. (2009). Abstraction of plant movements for deployable structures in architecture. Proc. 6th Plant Biomechanics Conference, pp. 389397, Cayenne, French Guyana, November 16–21.
Lienhard, J., Schleicher, S., Poppinga, S., Masselter, T., Milwich, M., Speck, T., & Knippers, J. (2011). Flectofin: a hingeless flapping mechanism inspired by nature. Bioinspiration & Biomimetics 6(4), 045001.
Mak, T., & Shu, L. (2008). Using descriptions of biological phenomena for idea generation. Research in Engineering Design 19(1), 2128.
Masselter, T., Barthlott, W., Bertling, J., Cichy, F., Hermann, M., Knippers, J., Luchsinger, R., Mattheck, C., Milwich, M., & Neinhuis, C. (2012). Biomimetic products. In Biomimetics: Nature Based Innovations (Bar-Cohen, Y., Ed.), pp. 377429. Boca Raton, FL: CRC Press.
Matini, M., & Knippers, J. (2008). Application of “abstract formal patterns” for translating natural principles into the design of new deployable structures in architecture. In WIT Transactions on Ecology and the Environment: Vol. 114. Design and Nature IV (Brebbia, C.A., Ed.), pp. 147156. Southampton: WIT Press.
Miklosovic, D.S., Murray, M.M., Howle, L.E., & Fish, F.E. (2004). Leading-edge tubercles delay stall on humpback whale (Megaptera novaeangliae) flippers. Physics of Fluids 16(5), L39L42.
Nagel, J., Stone, R.B., & McAdams, D. (2014). Function-based biologically-inspired design. In Biologically Inspired Design: Computational Methods and Tools (Goel, A.K., Ed.), pp. 95125. London: Springer–Verlag.
Nagel, J.K., Nagel, R.L., Stone, R.B., & McAdams, D.A. (2010). Function-based, biologically inspired concept generation. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24(4), 521535.
Nagel, J.K., & Stone, R.B. (2012). A computational approach to biologically inspired design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 26(2), 161176.
Reich, Y., Hatchuel, A., Shai, O., & Subrahmanian, E. (2012). A theoretical analysis of creativity methods in engineering design: casting and improving asit within C-K theory. Journal of Engineering Design 23(2), 137158.
Sartori, J., Pal, U., & Chakrabarti, A. (2010). A methodology for supporting “transfer” in biomimetic design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24(4), 483506.
Shai, O., Reich, Y., Hatchuel, A., & Subrahmanian, E. (2013). Creativity and scientific discovery with infused design and its analysis with C-K theory. Research in Engineering Design 24(2), 201214.
Shu, L. (2010). A natural-language approach to biomimetic design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24(4), 507519.
Shu, L., Ueda, K., Chiu, I., & Cheong, H. (2011). Biologically inspired design. CIRP Annals of Manufacturing Technology 60(2), 673693.
Singh, A.V., Rahman, A., Kumar, N.S., Aditi, A., Galluzzi, M., Bovio, S., Barozzi, S., Montani, E., & Parazzoli, D. (2012). Bio-inspired approaches to design smart fabrics. Materials & Design 36, 829839.
Speck, T., & Speck, O. (2008). Process sequences in biomimetic research. In WIT Transactions on Ecology and the Environment: Vol. 114. Design and Nature IV (Brebbia, C.A., Ed.), pp. 311. Southampton: WIT Press.
Vandevenne, D., Caicedo, J., Verhaegen, P.-A., Dewulf, S., & Duflou, J. (2013). Webcrawling for a biological strategy corpus to support biologically-inspired design. Proc. CIRP Design 2012 (Chakrabarti, A., Ed.), pp. 8392. London: Springer.
Vattam, S.S., Helms, M.E., & Goel, A.K. (2010). A content account of creative analogies in biologically inspired design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24(4), 467481.
Vincent, J.F. (2014). An ontology of biomimetics. In Biologically Inspired Design: Computational Methods and Tools (Goel, A.K., Ed.), pp. 269285. London: Springer–Verlag.
Vincent, J.F., Bogatyreva, O.A., Bogatyrev, N.R., Bowyer, A., & Pahl, A.-K. (2006). Biomimetics: its practice and theory. Journal of the Royal Society Interface 3(9), 471482.
Wilson, J.O., Rosen, D., Nelson, B.A., & Yen, J. (2010). The effects of biological examples in idea generation. Design Studies 31(2), 169186.
Wiltgen, B., Goel, A., & Vattam, S. (2011). Representation, indexing, and retrieval of biological cases for biologically inspired design. In Case-Based Reasoning Research and Development (Ram, A., & Wiratunga, N., Eds.), LNCS, Vol. 6880, pp. 334347. Berlin: Springer.
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