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Updated: Sep 16, 2025

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Surrogate Model Development for Digital Experiments in Welding
Published on: March 28, 2025
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Research on the Digital Twin System of Welding Robots Driven by Data
Saishuang Wang1, Yufeng Jiao2, Lijun Wang3
1College of Electrical Engineeringy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
Sensors (Basel, Switzerland)
|July 12, 2025
Summary
Digital twin technology enhances industrial automation by creating a virtual welding robot arm system. This digital twin approach improves production efficiency and enables enterprise digital transformation in smart manufacturing.
Area of Science:
- Engineering
- Computer Science
- Manufacturing Technology
Background:
- Digital twin technology is revolutionizing smart manufacturing.
- Industrial automation seeks enhanced production efficiency and digital transformation.
Purpose of the Study:
- To construct a digital twin system for a welding robot arm.
- To improve production efficiency and enable enterprise digital empowerment.
Main Methods:
- Developed a digital twin simulation environment using 3D modeling and rendering.
- Implemented parent-child hierarchy and particle effects for realistic simulation.
- Utilized TCP and Bluetooth for data transmission between virtual and physical components.
- Designed a human-machine interaction interface with UI components.
Main Results:
- Successfully built a data-driven digital twin system for a welding robot arm.
- Demonstrated the feasibility of integrating digital twin technology with automation.
- Achieved expected results in system testing, validating the approach.
Conclusions:
- The digital twin system for welding robot arms is effective.
- Combining digital twin technology with industrial automation is a viable strategy for smart manufacturing.

