Digital Twin Construction and Application in Blade Measurement Process

DOI: https://doi.org/10.62517/jes.202302301

Author(s)

Pu Yu, Xiaomei He*, Yizhang Wang

Affiliation(s)

Changcheng Institute of Metrology and Measurement, Beijing, China *Corresponding Author.

Abstract

In order to solve the problems of visualization and condition monitoring of the blade measurement process, a digital twin construction method of the blade measurement process was proposed. By studying the digital twin construction method based on multi-dimensional data, a digital twin system of blade measuring equipment was established. Through the study of complex system condition monitoring technology, the connection between physical system and virtual system is realized. This method can achieve digital twin matching and synchronous calibration in the coordinate measurement process, solve the problem of difficult integration between information space and physical space, achieve digitalization of the measurement process and state monitoring, and provide a research foundation for subsequent data analysis.

Keywords

Blade; Measurement Process; Digital Twin; DMU Motion Simulation; Status Monitoring

References

[1] TAO Fei, CHENG Jiangfeng, QI Qinglin, et al. Digital twin-driven product design, manufacturing and service with big data. The International Journal of Advanced Manufacturing Technology, 2018, 94 (9): 3563-3576. [2] RAJRATNAKHARAT, BAVANE V, JADHAO S, et al. Digital twin: manufacturing excellence through virtual factory replication. Proceedings of the NC-RACE 18 (Recent Advances in Science and Engineering). Shegaon, 2018, 96-125. [3] Li Hongkun, Wei Daitong, Chen Yugang, et al. A panoramic perception method of rotating blisk vibration state driven by digital twin. Journal of Mechanical Engineering, 2013, 1-13. [4] ZHOU Yu, XING Tong, SONG Yue, et al. Digital twin driven geometric optimization of centrifugal impeller with free-form blades for five-axis flank milling. Journal of Manufacturing Systems, 2020, 58: 22-35. [5] ZHANG Xuqian, ZHU Wenhua. Application framework of digital twin-driven product smart manufacturing system: A case study of aeroengine blade manufacturing. International Journal of Advanced Robotic Systems, 2019, 16 (5): 1-16. [6] Liu Daxin, Wang Ke, Liu Zhenyu et al. Research on digital twin modeling method of robot assembly unit based on data fusion and knowledge reasoning. Journal of Mechanical Engineering, 2023, 1-15. [7] Peng Bo, Yuan Sannan, Wo Yumin. Research and application of virtual simulation system based on digital twin. Computer measurement and control, 2023, 31(10): 166-173. [8] Zhou Cheng, Sun Kaiting, Li Jiang, et al. Three-dimensional visualization monitoring system of workshop based on digital twin. Computer integrated manufacturing system, 2022, 28 (03): 758-768. [9] LUO W, HU T, ZHANG C, et al. Digital twin for CNC machine tool: modeling and using strategy. Journal of Ambient Intelligence and Humanized Computing, 2018,10(3): 1-12. [10] GRIEVES M, VICKERS J. Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems. Springer, 2017: 85-113. [11] LIANG H, ZHENYU L, JIANRONG T. A VR simulation framework integrated with multisource CAE analysis data for mechanical equipment working process. Computers in Industry, 2018, 97: 85-96.