TY - JOUR
T1 - Reprint of
T2 - Where and how to find bio-inspiration?: A comparison of search approaches for bio-inspired design
AU - Willocx, Mart
AU - Ayali, Amir
AU - Duflou, Joost R.
N1 - Publisher Copyright:
© 2020 CIRP
PY - 2021/8
Y1 - 2021/8
N2 - 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.
AB - 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.
KW - Biologicalisation
KW - Biologically inspired design
KW - Creativity and ideation
KW - Design method
KW - Knowledge management
UR - http://www.scopus.com/inward/record.url?scp=85111524820&partnerID=8YFLogxK
U2 - 10.1016/j.cirpj.2021.06.005
DO - 10.1016/j.cirpj.2021.06.005
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AN - SCOPUS:85111524820
SN - 1755-5817
VL - 34
SP - 171
EP - 177
JO - CIRP Journal of Manufacturing Science and Technology
JF - CIRP Journal of Manufacturing Science and Technology
ER -