Sensor-Enabled Multi-Robot System for Automated Welding and In-Process Ultrasonic NDE

被引:28
|
作者
Vasilev, Momchil [1 ]
MacLeod, Charles N. [1 ]
Loukas, Charalampos [1 ]
Javadi, Yashar [1 ]
Vithanage, Randika K. W. [1 ]
Lines, David [1 ]
Mohseni, Ehsan [1 ]
Pierce, Stephen Gareth [1 ]
Gachagan, Anthony [1 ]
机构
[1] Univ Strathclyde, Ctr Ultrason Engn Cue, Dept Elect & Elect Engn, Glasgow G1 1XQ, Lanark, Scotland
基金
英国工程与自然科学研究理事会;
关键词
non-destructive evaluation; robotic NDE; robotic welding; robotic control; in-process NDE; ultrasonic NDE; ultrasound; PROCESS INSPECTION;
D O I
10.3390/s21155077
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
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页数:16
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