Digital Twin-Driven Mating Performance Analysis for Precision Spool Valve

被引:16
|
作者
Tang, Wenbin [1 ,2 ,3 ]
Xu, Guangshen [1 ]
Zhang, Shoujing [1 ]
Jin, Shoufeng [1 ]
Wang, Runxiao [3 ]
机构
[1] Xian Polytech Univ, Sch Mech & Elect Engn, Xian 710048, Peoples R China
[2] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710054, Peoples R China
[3] Northwestern Polytech Univ, Sch Mech & Elect Engn, Xian 710072, Peoples R China
关键词
digital twin; precision spool valve; mating performance; surface topography; SKIN MODEL; SYSTEMS; ERRORS;
D O I
10.3390/machines9080157
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The precision spool valve is the core component of the electro-hydraulic servo control system, and its performance has an important influence on the flight control of aviation and aerospace products. The non-uniform surface topography error causes a non-uniform mating gap field inside the spool valve, which causes oil leakage and leads to deterioration of the spool valve performance. However, the current oil leakage calculation method only considers the influence of size errors, which is not comprehensive. Thus, how to characterize the mating behavior of the spool valve and its effect on oil leakage with consideration of surface topography errors is the key to evaluating the performance of the spool valve. This paper proposes a new way of analyzing the mating performance of precision spool valves, which considers the surface topography errors based on digital twin technology. Firstly, a general framework for the analysis of mating performance of precision spool valve based on a digital twin is proposed. Then, key technologies of assembly interface geometry modeling, matching behavior modeling and performance analysis are studied. Finally, a quantitative correlation between the mating parameters and the oil leakage of the precision spool valve is revealed. The method is tested on a practical case. This proposed method can provide theoretical support for the accurate prediction and evaluation of the mating performance of the precision spool valve.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Digital twin-driven CNC spindle performance assessment
    Ruijuan Xue
    Xiang Zhou
    Zuguang Huang
    Fengli Zhang
    Fei Tao
    Jinjiang Wang
    The International Journal of Advanced Manufacturing Technology, 2022, 119 : 1821 - 1833
  • [2] Digital twin-driven CNC spindle performance assessment
    Xue, Ruijuan
    Zhou, Xiang
    Huang, Zuguang
    Zhang, Fengli
    Tao, Fei
    Wang, Jinjiang
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 119 (3-4): : 1821 - 1833
  • [3] Digital twin-driven intelligent assembly method for high precision products
    Sun X.
    Liu S.
    Shen X.
    Huang D.
    Bao J.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 28 (06): : 1704 - 1716
  • [4] Digital twin-driven assembly accuracy prediction method for high performance precision assembly of complex products
    Yi, Yang
    Zhang, Anqi
    Liu, Xiaojun
    Jiang, Di
    Lu, Yi
    Wu, Bin
    ADVANCED ENGINEERING INFORMATICS, 2024, 61
  • [5] A digital twin-driven approach for the assembly-commissioning of high precision products
    Sun Xuemin
    Bao Jinsong
    Li Jie
    Zhang Yiming
    Liu Shimin
    Zhou Bin
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2020, 61
  • [6] Digital Twin-Driven Performance Optimization for Hazardous Waste Landfill Systems
    Wu, Yonghui
    Li, Yiwen
    Mathematical Problems in Engineering, 2022, 2022
  • [7] Digital twin-driven smart supply chain
    Wang, Lu
    Deng, Tianhu
    Shen, Zuo-Jun Max
    Hu, Hao
    Qi, Yongzhi
    FRONTIERS OF ENGINEERING MANAGEMENT, 2022, 9 (01) : 56 - 70
  • [8] Digital twin-driven centering process optimization for high-precision glass lens
    Shiu, Shiau-Cheng
    Tang, Ke-Er
    Liu, Chun -Wei
    JOURNAL OF MANUFACTURING SYSTEMS, 2023, 67 : 122 - 131
  • [9] Digital Twin-Driven Performance Optimization for Hazardous Waste Landfill Systems
    Wu, Yonghui
    Li, Yiwen
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [10] Digital twin-driven smart supply chain
    Lu WANG
    Tianhu DENG
    Zuo-Jun Max SHEN
    Hao HU
    Yongzhi QI
    Frontiers of Engineering Management, 2022, 9 (01) : 56 - 70