Research on the Construction and Application of Digital Twin Process Model for Intelligent Process Planning of Aviation Complex Parts

被引：0
|
作者：
Zhang C. [1 ,2 ]
Zhou G. [1 ,2 ]
Li J. [1 ]
Wei Z. [1 ]
Qin T. [1 ]
机构：
[1] School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an
[2] State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2024年 / 60卷 / 06期
关键词：
aviation complex parts; digital twin; digital twin process model; intelligent decision-making; intelligent process planning; quality control;
D O I：
10.3901/JME.2024.06.032
中图分类号：
学科分类号：
摘要：
Currently, process planning of complex aviation parts still depends on manual experiences and lacks the coordination between process design and machining. The above issues case the problems like unreliable setting of process plans, un-timely responsive adjustment of machining process, and difficult to control the geometric accuracy and physical performance indicators of complex aviation parts. To bridge the gap, the digital twin is introduced into process planning and a novel reference framework of digital twin process model (DTPM) is proposed. Accordingly, by fusing the on-site data, quality information and process knowledge, the construction methods of data space, virtual space, and knowledge space of DTPM are proposed. Then, the co-evolution mechanism of multiple spaces of DTPM driven by geometric errors and physical performance indexes during machining process is introduced, which realizes the linkage optimization of process design and machining. Finally, aviation thin-walled parts are taken as an example to develop a DTPM prototype. Its application examples show that DTPM could provide supports for aerospace manufacturing enterprises to innovate process planning methods and realize the linkage optimization of process design and machining. © 2024 Chinese Mechanical Engineering Society. All rights reserved.
引用
收藏
页码：32 / 43
页数：11
相关论文
共 27 条
  • [1] ZHANG Xiaodong, HAN Ce, Research review of deep hole machining technology for complex shell part[J], Aeronautical Manufacturing Technology, 60, 15, pp. 50-57, (2017)
  • [2] HUANG Xiaoming, SUN Jie, LI Jianfeng, Mathematical modeling of aeronautical monolithic component machining distortion based on stiffness and residual stress evolvement[J], Journal of Mechanical Engineering, 53, 9, pp. 201-208, (2017)
  • [3] XU Jinting, NIU Jinbo, CHEN Mansen, Et al., Research progress in multi axis CNC machining of precision complex curved parts[J], Acta Aeronautica et Astronautica Sinica, 42, 10, pp. 31-54, (2021)
  • [4] SARKAR A, SORMAZ D., On semantic interoperability of model-based definition of product design[J], Procedia Manufacturing, 38, pp. 513-523, (2019)
  • [5] XUAN Zuochen, Zhi LI, ZHOU Danchen, Study on manufacturability evaluation of MBD model based on interactive method[J], Modern Manufacturing engineering, 2021, 8, pp. 70-76
  • [6] YANG Hailong, ZUO Yingping, Three-dimensional process research based on MBD technology[J], Aviation Precision Manufacturing Technology, 55, 6, pp. 34-36, (2019)
  • [7] ZHAO P，, LIU J，, JING X, Et al., The modeling and using strategy for the digital twin in process planning[J], IEEE Access, 8, pp. 41229-41245, (2020)
  • [8] ZHOU G, ZHANG C, LI Z，, Et al., Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing[J], International Journal of Production Research, 58, 4, pp. 1034-1051, (2020)
  • [9] GUO Feiyan, LIU Jianhua, ZOU Fang, Et al., Research on the state-of-art ， connotation and key implementation technology of assembly process planning with digital twin[J], Journal of Mechanical Engineering, 55, 17, pp. 110-132, (2019)
  • [10] HANEL A, SCHNELLHARDT T, WENKLER E, Et al., The development of a digital twin for machining processes for the application in aerospace industry[J], Procedia CIRP, 93, pp. 1399-1404, (2020)
123