Journal of System Simulation
Abstract
Abstract: The introduction of Industry 4.0 and the Made in China 2025 development policy has accelerated the transformation of the manufacturing industry from automation to intelligence. Industrial robots, as the representative equipment of intelligent manufacturing, will also become more intelligent. Based on digital twin technology, digital modeling, and simulation debugging are conducted for such problems as interference and collision, tedious operation, and low efficiency of industrial robot spot welding debugging in production. Process Simulate from TECNOMATIX software is utilized to digitally model the robot spot welding station and define its motion, and TIA Portal and S7-PLCSIM Advanced are applied to build a virtual simulation and commissioning environment to realize multi-robot cooperative work at the processing station controlled by an external virtual PLC. The simulation results show that the robot can reach all working points during the motion and the joint speed is always kept within a reasonable range, which meets the requirements of safety and stability in the actual production process. At the same time, the robot spot welding station simulation by digital twin technology can find product defects in time, shorten the debugging cycle, and reduce the cost.
Recommended Citation
Li, Ying; Gao, Lan; and Zhu, Zhisong
(2024)
"Digital Twin Modeling and Control of Robots for Intelligent Manufacturing Scenarios,"
Journal of System Simulation: Vol. 36:
Iss.
7, Article 3.
DOI: 10.16182/j.issn1004731x.joss.23-0481
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol36/iss7/3
First Page
1536
Last Page
1545
CLC
TP391.9
Recommended Citation
Li Ying, Gao Lan, Zhu Zhisong. Digital Twin Modeling and Control of Robots for Intelligent Manufacturing Scenarios[J]. Journal of System Simulation, 2024, 36(7): 1536-1545.
DOI
10.16182/j.issn1004731x.joss.23-0481
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons