banner



Biomimicry Biologically Inspired Design Computational Methods And Tools

Abstract

HTML view is not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

Using bio-inspiration allows engineers to use the knowledge implicitly built up by natural evolution. Current tools for providing engineers with bio-inspiration yield many biological working principles. Starting from the Linnaean taxonomy, which can be seen as a design revision history, this work proposes metrics for a working principle based on the observations of that working principle in different organisms. A first metric measures the reinforcement of a working principle via the number of observations (publications/submissions to a database) made by biologists. Furthermore, biological strategies that evolve independently and use the same working principle might be more resilient and globally applicable, prompting the proposal of a metric measuring the spread in the taxonomy. Finally, bio-novelty measures the biological novelty, inversely related to the biological diversity employing the working principle. To illustrate the use of the metrics, they are applied to the working principles identified in the 'temporary attachment' category of AskNature.

Type
Article

Creative Commons

Creative Common License - CC Creative Common License - BY Creative Common License - NC Creative Common License - ND

This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.

Copyright
The Author(s), 2021. Published by Cambridge University Press

References

Fayemi, P.-E. (2014) 'Bio-inspired design characterisation and its links with problem solving tools', in DS 77: Proceedings of the DESIGN 2014 13th International Design Conference. DESIGN 77, p. 10.Google Scholar

Graeff, E. , Maranzana, N. and Aoussat, A. (2019b) 'Engineers' and Biologists' Roles during Biomimetic Design Processes, Towards a Methodological Symbiosis', in Proceedings of the Design Society: International Conference on Engineering Design, pp. 319328. https://dx.doi.org/10.1017/dsi.2019.35.CrossRefGoogle Scholar

van Houten, F. , Wertheim, R. , Ayali, A. , et al. (2021) 'Bio-based design methodologies for products, processes, machine tools and production systems', CIRP Journal of Manufacturing Science and Technology, 32, pp. 4660. https://dx.doi.org/10.1016/j.cirpj.2020.11.008.CrossRefGoogle Scholar

Kaiser, M. K. , Farzaneh, H. H. and Lindemann, U. (2013) 'BIOSCRABBLE: Extraction of Biological Analogies out of Large Text Sources', p. 11.Google Scholar

Lenau, T. A. (2017) 'Do biomimetic students think outside the box?', in ICED 17.Google Scholar

Lenau, T. , Helten, K. , Hepperle, C. , et al. (2011) 'Reducing consequences of car collision using inspiration from nature', in Proceedings of IASDR2011: The 4th World Conference on Design Research. 4th World Conference on Design Research, Delft, Netherlands: TU Delft, p. 10.Google Scholar

Lenau, T. , Metze, A.-L. and Hesselberg, T. (2018) 'Paradigms for biologically inspired design', in Lakhtakia, A. (ed.) Bioinspiration, Biomimetics, and Bioreplication VIII. Bioinspiration, Biomimetics, and Bioreplication VIII, Denver, United States: SPIE, p. 1. https://dx.doi.org/10.1117/12.2296560.Google Scholar

Vandevenne, D. , Verhaegen, P.-A. , Dewulf, S. and Duflou, J. R. (2015) 'SEABIRD: Scalable search for systematic biologically inspired design', Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 30(01), pp. 7895. https://dx.doi.org/10.1017/S0890060415000177.CrossRefGoogle Scholar

Vattam, S. , Wiltgen, B. , Helms, M. , et al. (2011) 'DANE: Fostering Creativity in and through Biologically Inspired Design', in Taura, T. and Nagai, Y. (eds) Design Creativity 2010. London: Springer London, pp. 115122. https://dx.doi.org/10.1007/978-0-85729-224-7_16.CrossRefGoogle Scholar

Yen, J. , Helms, M. , Goel, A. , et al. (2014) 'Adaptive Evolution of Teaching Practices in Biologically Inspired Design', in Goel, A. K. , McAdams, D. A. , and Stone, R. B. (eds) Biologically Inspired Design: Computational Methods and Tools. London: Springer, pp. 153199. https://dx.doi.org/10.1007/978-1-4471-5248-4_7.CrossRefGoogle Scholar

Biomimicry Biologically Inspired Design Computational Methods And Tools

Source: https://www.cambridge.org/core/journals/proceedings-of-the-design-society/article/metrics-for-bioinspiration-based-on-taxonomies/09C985EF7DF80781007FC80D071F0678

Posted by: rawlsupocand.blogspot.com

0 Response to "Biomimicry Biologically Inspired Design Computational Methods And Tools"

Post a Comment

Iklan Atas Artikel

Iklan Tengah Artikel 1

Iklan Tengah Artikel 2

Iklan Bawah Artikel