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
  • [1] Toward digital validation for rapid product development based on digital twin: a framework
    Huang, Sihan
    Wang, Guoxin
    Lei, Dong
    Yan, Yan
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 119 (3-4) : 2509 - 2523
  • [2] Toward digital validation for rapid product development based on digital twin: a framework
    Sihan Huang
    Guoxin Wang
    Dong Lei
    Yan Yan
    The International Journal of Advanced Manufacturing Technology, 2022, 119 : 2509 - 2523
  • [3] A review of digital twin in product design and development
    Lo, C. K.
    Chen, C. H.
    Zhong, Ray Y.
    ADVANCED ENGINEERING INFORMATICS, 2021, 48
  • [4] Digital twin and digital thread within the product lifecycle management
    Lehner, Christine
    Padovano, Antonio
    Zehetner, Christian
    Hackenberg, Georg
    5TH INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING, ISM 2023, 2024, 232 : 2875 - 2886
  • [5] A digital twin-based multidisciplinary collaborative design approach for complex engineering product development
    Wu, Youde
    Zhou, Linzhen
    Zheng, Pai
    Sun, Yanqing
    Zhang, Kaikai
    ADVANCED ENGINEERING INFORMATICS, 2022, 52
  • [6] Modelling The Digital Twin For Data-Driven Product Development A Literature Review
    Himmelstoss, Henry
    Bauernhansl, Thomas
    PROCEEDINGS OF THE CONFERENCE ON PRODUCTION SYSTEMS AND LOGISTICS, CPSL 2023-2, 2023, : 634 - 643
  • [7] Data Evolution Governance for Ontology-Based Digital Twin Product Lifecycle Management
    Ren, Zijie
    Shi, Jianhua
    Imran, Muhammad
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (02) : 1791 - 1802
  • [8] Digital twin-driven product design framework
    Tao, Fei
    Sui, Fangyuan
    Liu, Ang
    Qi, Qinglin
    Zhang, Meng
    Song, Boyang
    Guo, Zirong
    Lu, Stephen C. -Y.
    Nee, A. Y. C.
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2019, 57 (12) : 3935 - 3953
  • [9] The Digital Twin as a Knowledge-Based Engineering Enabler for Product Development
    Azevedo, Miguel
    Tavares, Sergio
    Soares, Antonio Lucas
    BOOSTING COLLABORATIVE NETWORKS 4.0: 21ST IFIP WG 5.5 WORKING CONFERENCE ON VIRTUAL ENTERPRISES, PRO-VE 2020, 2021, 598 : 450 - 459
  • [10] Blockchain-based data management for digital twin of product
    Huang, Sihan
    Wang, Guoxin
    Yan, Yan
    Fang, Xiongbing
    JOURNAL OF MANUFACTURING SYSTEMS, 2020, 54 : 361 - 371