Wenjun Yan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Wenjun Yan has a total of 1 co-authors. Here are the top co-authors by number of shared publications:
- Yue Yu
College of Mechanical & Energy Engineering, Beijing University of Technology, Beijing, 100124, China.
2 shared publications
Latest Publications
- Open Access
A Study on the Force/Position Hybrid Control Strategy for Eight-Axis Robotic Friction Stir Welding
In aerospace and new-energy vehicle manufacturing, there is an increasing demand for the high-quality joining of large, curved aluminum alloy structures. This study presents a robotic friction stir welding (RFSW) system employing a force/position hybrid control. An eight-axis linkage platform integrates an electric spindle, multidimensional force sensors, and a laser displacement sensor, ensuring trajectory coordination between the robot and the positioner. By combining long-range constant displacement with small-range constant pressure—supplemented by an adaptive transition algorithm—the system regulates the axial stirring depth and downward force. The experimental results confirm that this approach effectively compensates for robotic flexibility, keeping weld depth and pressure deviations within 5%, significantly improving seam quality. Further welding verification was performed on typical curved panels for aerospace applications, and the results demonstrated strong adaptability under high-load, multi-DOF conditions, without crack formation. This research could advance the field toward more robust, automated, and adaptive RFSW solutions for aerospace, automotive, and other high-end manufacturing applications.
Open AccessA Study on the Force/Position Hybrid Control Strategy for Eight-Axis Robotic Friction Stir Welding
In aerospace and new-energy vehicle manufacturing, there is an increasing demand for the high-quality joining of large, curved aluminum alloy structures. This study presents a robotic friction stir welding (RFSW) system employing a force/position hybrid control. An eight-axis linkage platform integrates an electric spindle, multidimensional force sensors, and a laser displacement sensor, ensuring trajectory coordination between the robot and the positioner. By combining long-range constant displacement with small-range constant pressure—supplemented by an adaptive transition algorithm—the system regulates the axial stirring depth and downward force. The experimental results confirm that this approach effectively compensates for robotic flexibility, keeping weld depth and pressure deviations within 5%, significantly improving seam quality. Further welding verification was performed on typical curved panels for aerospace applications, and the results demonstrated strong adaptability under high-load, multi-DOF conditions, without crack formation. This research could advance the field toward more robust, automated, and adaptive RFSW solutions for aerospace, automotive, and other high-end manufacturing applications.
- Open Access
- 12 February 2025
- Published by MDPI AG in Preprints.org
A Study on Force/Position Hybrid Control Strategy for Eight-Axis Robotic Friction Stir Welding
In aerospace and new-energy vehicle manufacturing, there is a growing need for high-quality joining of large, curved aluminum alloy structures. This study proposes a robotic friction stir welding (RFSW) system employing force/position hybrid control. An eight-axis linkage platform integrates an electric spindle, multi-dimensional force sensors, and a laser displacement sensor, ensuring precise robot–positioner trajectory coordination. By combining large-range constant displacement with small-range constant pressure—supplemented by an adaptive transition algorithm—the system regulates axial stirring depth and downward force. Experiments confirmed that this approach effectively compensates for robotic flexibility, keeping weld depth and pressure deviations within 5% and significantly improving seam quality. Further welding verification was conducted on typical curved panels for aerospace applications, results demonstrated strong adaptability under high-load, multi-DOF conditions with no observed cracks. This research could support advance the field toward more robust, automated, and adaptive RFSW solutions for aerospace, automotive, and other high-end manufacturing applications.
- 12 February 2025
- Published by MDPI AG in Preprints.org
Open AccessA Study on Force/Position Hybrid Control Strategy for Eight-Axis Robotic Friction Stir Welding
In aerospace and new-energy vehicle manufacturing, there is a growing need for high-quality joining of large, curved aluminum alloy structures. This study proposes a robotic friction stir welding (RFSW) system employing force/position hybrid control. An eight-axis linkage platform integrates an electric spindle, multi-dimensional force sensors, and a laser displacement sensor, ensuring precise robot–positioner trajectory coordination. By combining large-range constant displacement with small-range constant pressure—supplemented by an adaptive transition algorithm—the system regulates axial stirring depth and downward force. Experiments confirmed that this approach effectively compensates for robotic flexibility, keeping weld depth and pressure deviations within 5% and significantly improving seam quality. Further welding verification was conducted on typical curved panels for aerospace applications, results demonstrated strong adaptability under high-load, multi-DOF conditions with no observed cracks. This research could support advance the field toward more robust, automated, and adaptive RFSW solutions for aerospace, automotive, and other high-end manufacturing applications.