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An Early-Biologisation Process to Improve the Acceptance of Biomimetics in Organizations

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 629))

Abstract

Biologisation of technology has already become an innovation driver for new materials and implants in medical applications. However, the potential of biologisation of technology is much greater when taking all the current research fields into consideration: e.g. the process industries using microorganisms for production of new substances or pharmaceuticals, the IT developing evolutionary algorithms for autonomous systems supporting decision making of human being, or various engineering disciplines adapting principles from nature to optimize both resource consumption and performance.

How can technical and scientific disciplines systematically learn from nature and capture value from biologisation in future? In this paper an early-biologisation approach will be introduced. When combining with the biomimetic engineering process according to ISO 18458:2015 the two approaches would improve the acceptance of biomimetics in organizations.

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Notes

  1. 1.

    Leonardo da Vinci (1452–1519) studied the anatomy and flight of birds when developing concepts for flying machines.

  2. 2.

    Joseph Monier (1823–1906) was a gardener who found in the rigid network structure of the cactus plant Opuntia the inspiration for combining steel mesh with cement material to create reinforced concrete.

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Correspondence to Nguyen-Truong Le .

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Le, NT., Warschat, J., Farrenkopf, T. (2018). An Early-Biologisation Process to Improve the Acceptance of Biomimetics in Organizations. In: Le, NT., van Do, T., Nguyen, N., Thi, H. (eds) Advanced Computational Methods for Knowledge Engineering. ICCSAMA 2017. Advances in Intelligent Systems and Computing, vol 629. Springer, Cham. https://doi.org/10.1007/978-3-319-61911-8_16

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  • DOI: https://doi.org/10.1007/978-3-319-61911-8_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61910-1

  • Online ISBN: 978-3-319-61911-8

  • eBook Packages: EngineeringEngineering (R0)

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