A Collaborative Control Method of Forging Force for Double‑Sided Friction Stir Welding Based on Reference Admittance Model

Abstract In the aerospace industry, double-sided friction stir welding has gradually become a crucial solid-state welding technology for rocket manufacturing. During the welding process, the welding equipment on both sides may encounter complex conditions involving unsynchronized collaborative movements. The resulting bending stress and destructive vibration affect workpiece processing quality. Therefore, this study proposes an adaptive admittance-based dual-robot collaborative forging force control method for double-sided friction stir welding. Specifically, the following steps are required: First, we analyzed the mechanism model of the hybrid robot and indirectly estimated the forging force value of friction stir welding using the Jacobian matrix of the hybrid robot. Second, an adaptive variable admittance controller was designed based on the reference admittance model with ideal stiffness. Subsequently, an adaptive variable admittance controller was applied to the dual-machine hybrid robot. By adjusting the welding trajectory and correcting the position error, the forging force was corrected, allowing adaptive tracking control of the forging force in complex environments. Finally, we conducted double-sided friction stir welding experiments to compare and verify the effectiveness of the adaptive tracking control algorithm for the forging force.

Authors

Institutions

Publication Details

Journal
Chinese Journal of Mechanical Engineering
Published
2025-07-24
DOI
https://doi.org/10.1186/s10033-025-01305-8
Primary Topic
Welding Techniques and Residual Stresses
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Collaborative Control Method of Forging Force for Double‑Sided Friction Stir Welding Based on Reference Admittance Model

Juliang Xiao, Kewei Gao, Mingli Wang, Wu Liu et al.
Chinese Journal of Mechanical Engineering
Welding Techniques and Residual Stresses
article

A Collaborative Control Method of Forging Force for Double‑Sided Friction Stir Welding Based on Reference Admittance Model

Juliang Xiao, Kewei Gao, Mingli Wang, Wu Liu, Shaofei Meng, Haitao Liu, Yanbing Ni, Bo Zhou
article en

Abstract

Abstract In the aerospace industry, double-sided friction stir welding has gradually become a crucial solid-state welding technology for rocket manufacturing. During the welding process, the welding equipment on both sides may encounter complex conditions involving unsynchronized collaborative movements. The resulting bending stress and destructive vibration affect workpiece processing quality. Therefore, this study proposes an adaptive admittance-based dual-robot collaborative forging force control method for double-sided friction stir welding. Specifically, the following steps are required: First, we analyzed the mechanism model of the hybrid robot and indirectly estimated the forging force value of friction stir welding using the Jacobian matrix of the hybrid robot. Second, an adaptive variable admittance controller was designed based on the reference admittance model with ideal stiffness. Subsequently, an adaptive variable admittance controller was applied to the dual-machine hybrid robot. By adjusting the welding trajectory and correcting the position error, the forging force was corrected, allowing adaptive tracking control of the forging force in complex environments. Finally, we conducted double-sided friction stir welding experiments to compare and verify the effectiveness of the adaptive tracking control algorithm for the forging force.

Chinese Journal of Mechanical EngineeringVol. 38(1)
Tianjin University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 82%
Welding Techniques and Residual Stresses
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.