A Digital Twin Platform Integrating Process Parameter Simulation Solution for Intelligent Manufacturing

Haoran Wang, Zuoqing Yang, Quan Zhang*, Qilei Sun*, Enggee Lim

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The present work aims to develop a digital twin system typical of intelligent manufacturing applications, which has integrated visualization technologies, as well as the process parameter simulation solution. The application under consideration is a typical machining process, with a gantry machine tool controlled by Siemens Programmable Logic Controller(PLC) S7-1200. With the establishment of dual-directional data communication between the physical machine tool and its virtual counterpart based on TCP/IP protocol, real-time visualization, monitoring, and control of the entire working process can be achieved. Furthermore, we integrated with the digital twin system as a solution for real-time process parameter simulation based on finite element modeling (FEM), which enables the real-time monitoring of necessary process parameters, e.g., surface deformation, during the machining process. A preliminary experiment was conducted to validate our proposed digital twin system, and the results demonstrated that our proposed method has satisfactory performance in terms of both control and monitoring of the traditional machining process, and synchronization between the physical and virtual models is also proven to be positive with minimal latency.

Original languageEnglish
Article number802
JournalElectronics (Switzerland)
Volume13
Issue number4
DOIs
Publication statusPublished - Feb 2024

Keywords

  • digital twin
  • finite element modeling
  • game engine
  • intelligent manufacturing

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