Article Details

Title · Authors · Abstract · Keywords · DOI · References

Application of 3D Digital Model System in Digital Prototype and Digital Twin for Equipment Manufacturing

ZHANG Mengruo, WANG Guofeng, ZHAO Lili, LIU Zeng, WU Lijun

(Beijing Institute of Mechanical Equipment, Beijing 100854, China)

Section:Intelligent Manufacturing · Vol. 2026, Issue 12 · Pages:194-198 · 2096-4706(2026)12-0194-05 · CLC number:TP391.9 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2026.12.036

Abstract

Addressing the pain points in the digital transformation of high-end equipment manufacturing, such as data silos, inadequate scenario adaptability, and weak full-lifecycle support inherent in traditional 3D modeling, a digital application pathway spanning the entire lifecycle of design, manufacturing, and operation and maintenance is constructed, with a 3D digital model system serving as the core foundation. The system encompasses virtual verification of digital prototypes, collaborative design, and process planning, and supports the implementation of scenarios including digital twin virtual-real mapping, intelligent operation and maintenance, and production line optimization. Engineering cases validate the practical effectiveness. Further analysis is conducted on bottlenecks such as multi-domain model fusion and standardization, with corresponding optimization strategies proposed. The resulting outcomes provide actionable reference for equipment manufacturing enterprises advancing digital transformation and hold significant engineering application value.

Keywords

3D digital model; equipment manufacturing; digital prototype; Digital Twin; full life cycle; intelligent manufacturing

References

  1. [1] Tao Fei, Liu Weiran, Zhang Meng, etc Digital Twin Five Dimensional Model and Its Applications in Ten Major Fields [J]. Computer Integrated Manufacturing Systems, 2019, 25 (1): 1-18
  2. [2] Tao Fei, Zhang Chenyuan, Zhang He, etc Exploration of Future Equipment: Digital Twin Equipment [J]. Computer Integrated Manufacturing Systems, 2022, 28 (1): 1-16
  3. [3] Wang Yudong Research on the Construction and Reuse of MBD based Design Process Unified Model [D]. Dalian: Dalian University of Technology, 2024
  4. [4] Zhang Shengwen, Chen Wendi, Liu Xingyu, etc Research on Automatic Generation Technology of Lightweight 3D Process Models [J]. Modern Manufacturing Engineering, 2022 (4): 89-93, 88
  5. [5] Liu Jianhua, Xia Huanxiong, Gong Hao, etc The connotation, technical system, and development trend of precision assembly [J]. Journal of Mechanical Engineering, 2023, 59 (20): 436-450
  6. [6] Zhang Qi, Zhang Guanwei, Wang Lei, etc Research progress on process generation technology based on model definition [J/OL]. Mechanical Design and Manufacturing, 2026:1-8 https://doi.org/10.19356/j.cnki.1001-3997.20260128.001.
  7. [7] Song Xueguan, come to Xiaonan, He Xiwang, etc Key Technologies for Digital Twin Integration of Major Equipment Form and Characteristics [J]. Journal of Mechanical Engineering, 2022, 58 (10): 298-325
  8. [8] Hu Fuqin, Yang Yun, Liu Shimin, etc High fidelity modeling method for digital twin of aerospace thin-walled parts by spinning forming [J]. Computer Integrated Manufacturing System, 2022, 28 (5): 1282-1292
  9. [9] Shi Jian, Liu Dong, Wang Shaoping A review of key technologies for PHM in electromechanical hydraulic systems based on digital twins [J]. Journal of Mechanical Engineering, 2024, 60 (4): 66-81
  10. [10] Zheng Shouguo, Zhang Yongde, Xie Wentian, etc Modeling of Aircraft Final Assembly Production Line Based on Digital Twins [J]. Journal of Zhejiang University (Engineering Edition), 2021, 55 (5): 843-854
  11. [11] Zhuang Ming, Liu Zhengtao, Huang Anwei, etc The current status and development prospects of assembly technology based on digital twins [J]. Packaging Engineering, 2024, 45 (23): 258-267

About the authors

Zhang Mengruo (1995-), female, Han ethnicity, Shanxi Datong, engineer, master's degree, research direction: digitalization of equipment; Wang Guofeng (1983-), male, Han ethnicity, from Xingtai, Hebei Province, is a senior engineer with a master's degree. His research direction is enterprise informatization; Zhao Lili (1989-), female, Han ethnicity, from Baoding, Hebei Province, senior engineer, master's degree, research direction: equipment digitization; Liu Zeng (1995-), male, Han ethnicity, from Ganzhou, Jiangxi, engineer, bachelor's degree, research direction: digitalization of equipment; Wu Lijun (1990-), female, Han ethnicity, from Zhangjiakou, Hebei Province, China, senior engineer, master's degree, research direction: data governance.