Abstract
Biologicalisation calls for the integration of biological knowledge in manufacturing. Although biologists have been cataloguing biological knowledge for centuries, for the non-biologist finding this inspiration as input for bio-inspired design is a major challenge. In this paper, three different methods are used to find bio-inspiration for a case study on the clamping interface of a flexible mobile machining unit: the AskNature database, a natural language processing (NLP) approach, drawing on a large corpus of biological publications, and an informal consultation of an expert biologist as could be organised by a design office. The comparison of the retrieved principles with AskNature as a baseline indicates that the NLP approach allows retrieving publications about relevant biological strategies with a good recall performance, without involving an expert. However, extracting the working principles from the biological articles retrieved with the NLP approach is found to be error-prone and time consuming.
| Original language | English |
|---|---|
| Pages (from-to) | 61-67 |
| Number of pages | 7 |
| Journal | CIRP Journal of Manufacturing Science and Technology |
| Volume | 31 |
| DOIs | |
| State | Published - Nov 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Biologicalisation
- Biologically inspired design
- Creativity and ideation
- Design method
- Knowledge management
All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering
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