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author:

Zhu, Z. (Zhu, Z..) [1] | Lin, Z. (Lin, Z..) [2] | Huang, J. (Huang, J..) [3] | Zheng, L. (Zheng, L..) [4] | He, B. (He, B..) [5]

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Scopus

Abstract:

Compared with traditional CNC machines, robot milling has the advantages of low cost, high flexibility, and strong adaptability, providing a new solution for complex surface machining. However, robot machining trajectory planning in the real world is time-consuming and has safety risks. At the same time, how to achieve 3D visualization monitoring in the milling process effectively is also a challenging problem. Digital twin technology, with its characteristics of multi-dimension, high-fidelity, virtual-real fusion, and real-time interaction, provides an effective way to solve these problems. For this purpose, the paper designs and implements a robot milling motion simulation and visualization monitoring system based on the digital twin system framework. The system uses the Unity3D platform to construct the robot’s digital twin body, designs a material removal algorithm based on mesh deformation, and establishes a milling motion simulation model. Through virtual-real mapping technology, the system establishes a bidirectional communication between virtual and physical entities and achieves the result mapping of the robot milling motion simulation and the visualization monitoring of the milling process. Finally, the motion simulation and real-time visualization monitoring of the milling process are tested, verifying the effectiveness and timeliness of the system. © 2023, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.

Keyword:

Digital twin Machining motion simulation Milling robot Visualization monitor

Community:

  • [ 1 ] [Zhu Z.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Lin Z.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 3 ] [Huang J.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Zheng L.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 5 ] [He B.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China

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Source :

International Journal of Advanced Manufacturing Technology

ISSN: 0268-3768

Year: 2023

Issue: 9-10

Volume: 127

Page: 4387-4399

2 . 9

JCR@2023

2 . 9 0 0

JCR@2023

ESI HC Threshold:35

JCR Journal Grade:2

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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