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Towards a Design Process for Computer-Aided Biomimetics.

Ruben Kruiper1, Julian F V Vincent2, Eitan Abraham3

  • 1Deparment of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh Campus, Edinburgh EH14 4AS, UK. rk22@hw.ac.uk.

Biomimetics (Basel, Switzerland)
|May 21, 2019
PubMed
Summary
This summary is machine-generated.

Computer-Aided Biomimetics (CAB) tools can be improved by focusing on biological trade-offs rather than just functions. This approach better integrates biological context for engineering applications.

Keywords:
Biologically Inspired Design (BID)Computer-Aided Biomimetics (CAB)biomimeticsbiomimicrybionicsdesign theoryinnovationinventionproblem-solving

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Area of Science:

  • Biomimetics
  • Engineering Design
  • Computational Biology

Background:

  • Computer-Aided Biomimetics (CAB) tools assist in applying biological knowledge to engineering.
  • Current CAB tools often focus on functional descriptions, which do not align well with dynamic biological systems.
  • This functional approach leads to an incomplete understanding of biological processes for engineering applications.

Purpose of the Study:

  • To propose an alternative approach for Computer-Aided Biomimetics (CAB) that incorporates biological context.
  • To move beyond static, functional descriptions towards a more dynamic understanding of biological systems.
  • To enhance the transfer of biological information to engineering by considering trade-offs and environmental factors.

Main Methods:

  • Developing a novel CAB approach centered on the concept of biological trade-offs.
  • Integrating biological context, including environmental characteristics, into the design process.
  • Illustrating the proposed design process through a case study.

Main Results:

  • The proposed trade-off-based approach offers a more holistic understanding of biological systems.
  • Incorporating biological context improves the relevance and applicability of biomimetic solutions.
  • The case study demonstrates the practical utility of considering trade-offs in biomimetic design.

Conclusions:

  • A trade-off-centric approach enhances CAB by providing crucial biological context.
  • This method facilitates a more effective transfer of biological principles to engineering challenges.
  • Future CAB tools should prioritize dynamic, context-aware representations of biological systems.