Digital Twin Driven Bionic Shape Design Path Construction Research
- DOI
- 10.2991/978-2-38476-222-4_20How to use a DOI?
- Keywords
- Bionic shape design; Digital twins; Interdisciplinary; Bionic design; Product design
- Abstract
Bionic shape design is an important means of industrial design, in order to effectively improve the efficiency of morphology bionic design, to solve the design process there are information barriers, bionic structure extraction difficulties, can not be verified in a timely manner iteration and other issues, and the digital twin unique big data, virtual and real intermingling of the key technologies for the morphology bionic design provides a new means of solving the problem. This thesis proposes a digital twin-based morphological bionic design idea, aiming to introduce digital twin technology into morphological bionic design to solve the problems in the development process of bionic design. The conclusion proves the feasibility of applying digital twin technology to the morphological bionic design process. Digital twin-enabled bionic shape design promotes the study of the theory and methodology of bionic design, and provides new ideas and possibilities for bionic design for future intelligent cross-innovation design.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Defang Meng AU - Jixiao Zhang PY - 2024 DA - 2024/03/26 TI - Digital Twin Driven Bionic Shape Design Path Construction Research BT - Proceedings of the 3rd International Conference on Culture, Design and Social Development (CDSD 2023) PB - Atlantis Press SP - 169 EP - 177 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-222-4_20 DO - 10.2991/978-2-38476-222-4_20 ID - Meng2024 ER -