Progress, challenges and trends on vision sensing technologies in automatic/intelligent robotic welding: State-of-the-art review

Guo, Qiang; Yang, Zi; Xu, Jinting; Jiang, Yan; Wang, Wenbo; Liu, Zonglin; Zhao, Weisen; Sun, Yuwen

doi:10.1016/j.rcim.2024.102767

Cited by 27 publications

(2 citation statements)

References 198 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, propelled by the rapid advancements in intelligent manufacturing, the demand for welding robot arms has surged. They are extensively applied in aerospace, shipbuilding, automotive manufacturing, and other sectors due to their capability to operate in challenging and intricate environments, delivering high welding efficiency and consistent weld quality [1][2][3][4][5]. However, during welding operations, the synchronization of multiple axes within the robot arm can significantly impact welding quality.…”

Section: Introductionmentioning

confidence: 99%

An Improved Deviation Coupling Control Method for Speed Synchronization of Multi-Motor Systems

Mu,

Qi,

Sun

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

In order to enhance the synchronization of welding robot arms and improve welding quality, this study proposes a fuzzy PID-based improved deviation coupling multi-axis synchronous control method. Firstly, in response to the intricacies inherent in the compensation mechanism of the deviation coupling control structure and the substantial volume of system computation, the integration of average speed and sub-average speed is proposed to optimize the speed compensator. This integration aims to mitigate speed synchronization errors, minimize synchronization adjustment time, and elevate overall system synchronization performance. Moreover, the fuzzy PID algorithm is employed to design the controller to realize the single-motor adaptive control, leading to improvement in both system stability and dynamic response performance. Finally, a simulation model for six-axis synchronization control and an experimental platform were developed. Both simulation and experimental results demonstrate that the improved deviation coupling control method exhibits superior synchronization performance. The proposed multi-axis synchronous control method effectively heightens the synchronous performance of the six-degrees-of-freedom robotic arm.

show abstract

Section: Introductionmentioning

confidence: 99%

An Improved Deviation Coupling Control Method for Speed Synchronization of Multi-Motor Systems

Mu,

Qi,

Sun

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…However, the optical performance of PMMA is severely affected by surface quality [1,2]. Machining operations such as milling frequently result in heightened cutting forces and vibrations, thereby degrading the surface quality [3,4]. Although, in the polishing process, it is difficult to correct the profile errors caused by the milling process, this process can significantly reduce the surface roughness and improve the surface quality.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Force-Controlled Polishing of Complex Curved PMMA Parts on a Machining Center

Meng,

Wang,

Yin

et al. 2024

Machines

Self Cite

View full text Add to dashboard Cite

During the polishing process of complex curved PMMA parts, the polishing force is an important factor affecting the surface quality and optical performance. In this paper, a force-controlled polishing device integrated into a machining center to maintain the polishing force is investigated. In order to achieve the real-time active control of the polishing force, the linear voice coil motor and force sensors are used for motion and measurement. A compact structure was designed to couple the linear motion of the voice coil motor with the rotation for polishing. The force-controlled polishing system with a high real-time hardware architecture was developed to perform complex curved polishing path movement with precise force control. Next, the polishing force between the device and the workpiece was analyzed to obtain the mathematical model of the device. Considering the impact during the approaching phase of polishing, a fuzzy PI controller was proposed to reduce the overshoot and response time. To implement the control method, the controller model was established on Simulink and the control system was developed based on TwinCAT 3 software with real-time computing capability. Finally, a polishing experiment involving a complex curved PMMA part was conducted by a force-controlled polishing device integrated into a five-axis machining center. The results show that the device can effectively maintain the polishing force to improve surface quality and optical performance.

show abstract

Prediction of surface topography for the five-axis bull-nose end milling of directional plexiglass considering tool runout and dynamic displacement

Chen,

Guo,

Yin

et al. 2024

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Progress, challenges and trends on vision sensing technologies in automatic/intelligent robotic welding: State-of-the-art review

Cited by 27 publications

References 198 publications

An Improved Deviation Coupling Control Method for Speed Synchronization of Multi-Motor Systems

An Improved Deviation Coupling Control Method for Speed Synchronization of Multi-Motor Systems

Investigation of Force-Controlled Polishing of Complex Curved PMMA Parts on a Machining Center

Prediction of surface topography for the five-axis bull-nose end milling of directional plexiglass considering tool runout and dynamic displacement

Contact Info

Product

Resources

About