Literature DB >> 34372316

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

Momchil Vasilev1, Charles N MacLeod1, Charalampos Loukas1, Yashar Javadi1, Randika K W Vithanage1, David Lines1, Ehsan Mohseni1, Stephen Gareth Pierce1, Anthony Gachagan1.   

Abstract

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.

Entities:  

Keywords:  in-process NDE; non-destructive evaluation; robotic NDE; robotic control; robotic welding; ultrasonic NDE; ultrasound

Year:  2021        PMID: 34372316     DOI: 10.3390/s21155077

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Collaborative Robotic Wire + Arc Additive Manufacture and Sensor-Enabled In-Process Ultrasonic Non-Destructive Evaluation.

Authors:  Rastislav Zimermann; Ehsan Mohseni; Momchil Vasilev; Charalampos Loukas; Randika K W Vithanage; Charles N Macleod; David Lines; Yashar Javadi; Misael Pimentel Espirindio E Silva; Stephen Fitzpatrick; Steven Halavage; Scott Mckegney; Stephen Gareth Pierce; Stewart Williams; Jialuo Ding
Journal:  Sensors (Basel)       Date:  2022-05-31       Impact factor: 3.847

2.  Automated Real-Time Eddy Current Array Inspection of Nuclear Assets.

Authors:  Euan Alexander Foster; Gary Bolton; Robert Bernard; Martin McInnes; Shaun McKnight; Ewan Nicolson; Charalampos Loukas; Momchil Vasilev; Dave Lines; Ehsan Mohseni; Anthony Gachagan; Gareth Pierce; Charles N Macleod
Journal:  Sensors (Basel)       Date:  2022-08-12       Impact factor: 3.847

3.  Robotic Non-Destructive Testing.

Authors:  Carmelo Mineo; Yashar Javadi
Journal:  Sensors (Basel)       Date:  2022-10-09       Impact factor: 3.847

  3 in total

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