Robotic friction stir welding - seam-tracking control, force control and process supervision

IF 1.9 4区 计算机科学 Q3 ENGINEERING, INDUSTRIAL Industrial Robot-The International Journal of Robotics Research and Application Pub Date : 2023-02-14 DOI:10.1108/ir-06-2022-0153
M. Karlsson, Fredrik Bagge Carlson, Martin Holmstrand, A. Robertsson, J. De Backer, L. Quintino, E. Assunção, Rolf Johansson
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引用次数: 2

Abstract

Purpose This study aims to enable robotic friction stir welding (FSW) in practice. The use of robots has hitherto been limited, because of the large contact forces necessary for FSW. These forces are detrimental for the position accuracy of the robot. In this context, it is not sufficient to rely on the robot’s internal sensors for positioning. This paper describes and evaluates a new method for overcoming this issue. Design/methodology/approach A closed-loop robot control system for seam-tracking control and force control, running and recording data in real-time operation, was developed. The complete system was experimentally verified. External position measurements were obtained from a laser seam tracker and deviations from the seam were compensated for, using feedback of the measurements to a position controller. Findings The proposed system was shown to be working well in overcoming position error. The system is flexible and reconfigurable for batch and short production runs. The welds were free of defects and had beneficial mechanical properties. Research limitations/implications In the experiments, the laser seam tracker was used both for control feedback and for performance evaluation. For evaluation, it would be better to use yet another external sensor for position measurements, providing ground truth. Practical implications These results imply that robotic FSW is practically realizable, with the accuracy requirements fulfilled. Originality/value The method proposed in this research yields very accurate seam tracking as compared to previous research. This accuracy, in turn, is crucial for the quality of the resulting material.
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机器人搅拌摩擦焊。焊缝跟踪控制、力控制和过程监督
目的本研究旨在使机器人搅拌摩擦焊接(FSW)应用于实际。迄今为止,机器人的使用受到限制,因为FSW需要很大的接触力。这些力不利于机器人的定位精度。在这种情况下,仅仅依靠机器人内部的传感器进行定位是不够的。本文描述并评价了一种克服这一问题的新方法。设计/方法/方法开发了一种闭环机器人控制系统,用于缝迹跟踪控制和力控制,实时运行和记录数据。对整个系统进行了实验验证。外部位置测量由激光缝跟踪器获得,并利用测量结果反馈到位置控制器来补偿与缝的偏差。结果表明,该系统能很好地克服位置误差。该系统是灵活的,可重新配置批量和短期生产运行。焊缝无缺陷,具有良好的力学性能。在实验中,激光缝跟踪器既用于控制反馈,也用于性能评估。为了评估,最好使用另一个外部传感器进行位置测量,提供地面真实值。这些结果表明,机器人FSW在满足精度要求的情况下是可以实现的。独创性/价值与以前的研究相比,本研究中提出的方法产生了非常精确的接缝跟踪。这种精度反过来又对最终材料的质量至关重要。
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来源期刊
CiteScore
4.50
自引率
16.70%
发文量
86
审稿时长
5.7 months
期刊介绍: Industrial Robot publishes peer reviewed research articles, technology reviews and specially commissioned case studies. Each issue includes high quality content covering all aspects of robotic technology, and reflecting the most interesting and strategically important research and development activities from around the world. The journal’s policy of not publishing work that has only been tested in simulation means that only the very best and most practical research articles are included. This ensures that the material that is published has real relevance and value for commercial manufacturing and research organizations. Industrial Robot''s coverage includes, but is not restricted to: Automatic assembly Flexible manufacturing Programming optimisation Simulation and offline programming Service robots Autonomous robots Swarm intelligence Humanoid robots Prosthetics and exoskeletons Machine intelligence Military robots Underwater and aerial robots Cooperative robots Flexible grippers and tactile sensing Robot vision Teleoperation Mobile robots Search and rescue robots Robot welding Collision avoidance Robotic machining Surgical robots Call for Papers 2020 AI for Autonomous Unmanned Systems Agricultural Robot Brain-Computer Interfaces for Human-Robot Interaction Cooperative Robots Robots for Environmental Monitoring Rehabilitation Robots Wearable Robotics/Exoskeletons.
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