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A BERT-based model for coupled biological strategies in biomimetic design

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Abstract

The biomimetic design provides an adequate solution to attain an excellent design. However, the prototype space for biomimetic design is relatively large, and it becomes more and more challenging to find the required biological prototypes efficiently and accurately. To improve the design efficiency and enrich the biomimetic information, this paper proposes a coupled biological strategies-enabled bidirectional encoder representation from transformers (BERT) model to assist biomimetic design, namely BioDesign. We extract the biological strategies and extract dimensional information from AskNature as a part of the database. The linguistic expression model-BERT helps to search for biological strategy. Based on the coupled biological strategies analysis, the quantitative results of biomimetic strategies are given by BioDesign. Finally, we take the erosion wear-resistant design of the control valve core as an example to demonstrate the utilization based on the proposed BioDesign. The erosion wear experiment demonstrated the feasibility and effectiveness of the proposed method.

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Data Availability Statement

The datasets generated during and/or analyzed during the current study are not publicly available because the data form a part of an ongoing study.

Abbreviations

Innov :

Coupled biomimetic strategies by BioDesign model

\(K_{i}\) :

Keyword complexity

\({Len}[M({K}_{i}, {{keyword}_{i})]}\) :

Number of elements in the model response

M :

BioDesign model output corresponding to each keyword

Theme :

Key vocabulary of the designed subject

\(x_{rs, i}\) :

Response result of the BioDesign model

\(\theta _{i}\) :

Weight activity

\(\omega _{cp, i}\) :

Coupled elasticity weight of keyword

\(\omega _{i}\) :

Initial elasticity weight of keyword

\(C\omega _{i}\) :

Most important input among the keyword

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Acknowledgements

This work was supported by the Natural Science Foundation of China under Grant [51875113], Natural Science Joint Guidance Foundation of the Heilongjiang Province of China under Grant [LH2019E027]. PhD Student Research and Innovation Fund of the Fundamental Research Funds for the Central Universities under Grant [XK2070021009].

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, 150000, Heilongjiang, China

    Feng Sun, He Xu & Yihan Meng

  2. College of Computer Science, Dalian University of Technology, Dalian, 116000, Liaoning, China

    Zhimao Lu

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Correspondence to He Xu.

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Sun, F., Xu, H., Meng, Y. et al. A BERT-based model for coupled biological strategies in biomimetic design. Neural Comput & Applic 35, 2827–2843 (2023). https://doi.org/10.1007/s00521-022-07734-z

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