A knowledge-based ideation approach for bio-inspired design
File(s)
Author(s)
Type
Conference Paper
Abstract
Bio-inspired design (BID) involves generating innovative ideas for engineering design by drawing inspiration from natural biological phenomena and systems, using a form of design-by-analogy. Despite its many successes, BID approaches encounter research challenges including unstructured data and existing models that hinder comprehension and processing, limited focus on finding biological knowledge compared to defined problems, and insufficient guidance of the ideation process with algorithms. This paper proposes a knowledge-based approach to address the challenges. The approach involves transforming unstructured data into structured knowledge, including information about natural sources, their benefits, and applications. The structured knowledge is then used to construct a semantic network, enabling designers to retrieve information for BID in two ways. Furthermore, a three-step ideation method is developed to encourage divergent thinking and explore additional potential solutions by drawing inspiration and utilizing knowledge. The knowledge-based BID approach is implemented as a tool and design cases are conducted to illustrate the process of applying this tool for BID.
Date Issued
2023-07
Date Acceptance
2023-06-01
Citation
Proceedings of the Design Society, 2023, 3, pp.231-240
Publisher
Cambridge University Press (CUP)
Start Page
231
End Page
240
Journal / Book Title
Proceedings of the Design Society
Volume
3
Copyright Statement
© The Author(s), 2023. Published by Cambridge University Press. 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.
Identifier
http://dx.doi.org/10.1017/pds.2023.24
Source
INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN, ICED23
Publication Status
Published
Start Date
2023-07-24
Finish Date
2023-07-28
Coverage Spatial
Bordeaux, France
Date Publish Online
2023-06-19