Digital Twin Bionics: A Biological Evolution-Based Digital Twin Approach for Rapid Product Development

被引:14
|
作者
Li, Linli [1 ,2 ,3 ,4 ]
Gu, Fu [1 ,3 ,4 ,5 ]
Li, Hao [6 ]
Guo, Jianfeng [7 ,8 ]
Gu, Xinjian [1 ,2 ,3 ,5 ]
机构
[1] Zhejiang Univ, Sch Mech Engn, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China
[2] Zhejiang Univ, Sch Mech Engn, Zhejiang Key Lab Adv Mfg Technol, Hangzhou 310027, Peoples R China
[3] Zhejiang Univ, Dept Ind & Syst Engn, Hangzhou 310027, Peoples R China
[4] Zhejiang Univ, Ctr Engn Management, Polytech Inst, Hangzhou 310015, Peoples R China
[5] Zhejiang Univ, Natl Inst Innovat Management, Hangzhou 310027, Peoples R China
[6] Zhengzhou Univ Light Ind, Henan Prov Key Lab Intelligent Mfg Mech Equipment, Zhengzhou 450002, Peoples R China
[7] Chinese Acad Sci, Inst Sci, Beijing 100190, Peoples R China
[8] Chinese Acad Sci, Inst Dev, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
Biomimetics; Manufacturing; Production; Product development; Digital twin; Product design; Biological system modeling; bionics; product development; co-evolution; product life cycle; MANUFACTURING SYSTEMS; LIGHTWEIGHT DESIGN; BIG DATA; OPTIMIZATION;
D O I
10.1109/ACCESS.2021.3108218
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With intensified market competition, product development procedure is accelerated, requiring rapid product innovation and efficient collaboration between design and manufacturing. However, there still exist information islands, prohibiting integration of product life cycle processes. To address this issue, bionics and digital twin (DT) are combined as a potential solution. The concepts, framework, and features of digital twin bionics (DTB) is originally proposed, with co-evolution mechanism of product-twins (including virtual and physical products) and production-twins (including virtual and physical production) elaborated. A symbiotic co-evolution mechanism is presented to integrate the processes of product development and manufacturing. In detail, the supporting technologies, such as industrial internet of things, cloud edge computing, big data, and artificial intelligence, as well as the potential key technologies, are illustrated. A case study for rapid development of automotive body-in-white in an industrial robotics welding production line is investigated to verify the applicability of the proposed framework. The results suggest that the integration of bionics and DTs can accelerate the innovations and developments of new products and also help to achieve efficient management of production construction.
引用
收藏
页码:121507 / 121521
页数:15
相关论文
共 50 条
  • [41] Relatedness, digital economy and renewable energy product evolution-based on product space perspective
    Luo, Jiahui
    Dong, Jingrong
    Tan, Zhixiong
    Zhang, Haitao
    Zhang, Wenqing
    ENERGY POLICY, 2024, 186
  • [42] The digital twin framework: A roadmap to the development of user- centred digital twin in the built environment
    Osama, Zaid
    JOURNAL OF BUILDING ENGINEERING, 2024, 98
  • [43] DEVELOPMENT OF A DIGITAL TWIN FOR ADDITIVE MANUFACTURING
    Machado, Michael
    Oliveira, Eduardo
    Silva, Leopoldo
    Silva, Joao
    Sousa, Joao
    PROCEEDINGS OF ASME 2021 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION (IMECE2021), VOL 2B, 2021,
  • [44] A modelling and updating approach of digital twin based on surrogate model to rapidly evaluate product performance
    Liu, Xinyu
    Han, Xu
    Wang, Honghui
    Liu, Guijie
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 129 (11-12): : 5059 - 5074
  • [45] A modelling and updating approach of digital twin based on surrogate model to rapidly evaluate product performance
    Xinyu Liu
    Xu Han
    Honghui Wang
    Guijie Liu
    The International Journal of Advanced Manufacturing Technology, 2023, 129 : 5059 - 5074
  • [46] A generic tri-model-based approach for product-level digital twin development in a smart manufacturing environment
    Zheng, Pai
    Sivabalan, Abinav Shankar
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2020, 64
  • [47] Symbiotic Evolution of Digital Twin Systems and Dataspaces
    Uslaender, Thomas
    Baumann, Michael
    Boschert, Stefan
    Rosen, Roland
    Sauer, Olaf
    Stojanovic, Ljiljana
    Wehrstedt, Jan Christoph
    AUTOMATION, 2022, 3 (03): : 378 - 399
  • [48] Evolution and Operation Mechanism of Digital Twin Shopfloors
    Jiang H.
    Ding G.
    Zhang J.
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2020, 31 (07): : 824 - 832and841
  • [49] Digital Twin Evolution for Sustainable Smart Ecosystems
    Michael, Judith
    David, Istvan
    Bork, Dominik
    ACM/IEEE 27TH INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS: COMPANION PROCEEDINGS, MODELS 2024, 2024, : 1061 - 1065
  • [50] the digital twin New species, evolution, or revolution?
    Kays, Jan
    IEEE POWER & ENERGY MAGAZINE, 2024, 22 (01): : 90 - 92