Vasilev Momchil, MacLeod Charles N, Loukas Charalampos, Javadi Yashar, Vithanage Randika K W, Lines David, Mohseni Ehsan, Pierce Stephen Gareth, Gachagan Anthony
Centre for Ultrasonic Engineering (CUE), Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UK.
Sensors (Basel). 2021 Jul 27;21(15):5077. doi: 10.3390/s21155077.
The growth of the automated welding sector and emerging technological requirements of Industry 4.0 have driven demand and research into intelligent sensor-enabled robotic systems. The higher production rates of automated welding have increased the need for fast, robotically deployed Non-Destructive Evaluation (NDE), replacing current time-consuming manually deployed inspection. This paper presents the development and deployment of a novel multi-robot system for automated welding and in-process NDE. Full external positional control is achieved in real time allowing for on-the-fly motion correction, based on multi-sensory input. The inspection capabilities of the system are demonstrated at three different stages of the manufacturing process: after all welding passes are complete; between individual welding passes; and during live-arc welding deposition. The specific advantages and challenges of each approach are outlined, and the defect detection capability is demonstrated through inspection of artificially induced defects. The developed system offers an early defect detection opportunity compared to current inspection methods, drastically reducing the delay between defect formation and discovery. This approach would enable in-process weld repair, leading to higher production efficiency, reduced rework rates and lower production costs.
自动化焊接领域的发展以及工业4.0不断涌现的技术要求推动了对具备智能传感器的机器人系统的需求和研究。自动化焊接更高的生产率增加了对快速、通过机器人部署的无损检测(NDE)的需求,以取代当前耗时的人工检测。本文介绍了一种用于自动化焊接和过程中无损检测的新型多机器人系统的开发与部署。基于多感官输入,实时实现了完全外部位置控制,允许进行动态运动校正。该系统的检测能力在制造过程的三个不同阶段得到了展示:所有焊接道次完成后;单个焊接道次之间;以及在活弧焊接熔敷过程中。概述了每种方法的具体优势和挑战,并通过对人工诱导缺陷的检测展示了缺陷检测能力。与当前检测方法相比,所开发的系统提供了早期缺陷检测机会,极大地减少了缺陷形成与发现之间的延迟。这种方法将实现过程中的焊缝修复,从而提高生产效率、降低返工率并降低生产成本。