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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Loukas, Charalampos
University of Strathclyde
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2023Flexible and automated robotic multi-pass arc welding
- 2023In-process non-destructive evaluation of metal additive manufactured components at build using ultrasound and eddy-current approachescitations
- 2023In-process non-destructive evaluation of metal additive manufactured components at build using ultrasound and eddy-current approachescitations
- 2023Driving towards flexible and automated robotic multi-pass arc welding
- 2022Autonomous and targeted eddy current inspection from UT feature guided wave screening of resistance seam welds
- 2022Multi-sensor electromagnetic inspection feasibility for aerospace composites surface defects
- 2022Collaborative robotic wire + arc additive manufacture and sensor-enabled in-process ultrasonic non-destructive evaluationcitations
- 2022Automated multi-modal in-process non-destructive evaluation of wire + arc additive manufacturing
- 2022Targeted eddy current inspection based on ultrasonic feature guided wave screening of resistance seam welds
- 2022In-process non-destructive evaluation of wire + arc additive manufacture components using ultrasound high-temperature dry-coupled roller-probe
- 2022Collaborative robotic Wire + Arc Additive Manufacture and sensor-enabled in-process ultrasonic Non-Destructive Evaluationcitations
- 2022Automated real time eddy current array inspection of nuclear assetscitations
- 2021A cost-function driven adaptive welding framework for multi-pass robotic weldingcitations
Places of action
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document
Driving towards flexible and automated robotic multi-pass arc welding
Abstract
There is a need for automated intelligent welding systems in multiple industrial manufacturing and repair scenarios, especially for Small to Medium Enterprises (SMEs) where production flexibility is required. Although welding robots are an important enabler for intelligent welding systems, traditional manual teaching of robot paths and allocation of welding parameters for multi-pass robotic welding is still a cumbersome and time-consuming task, which decreases the flexibility, adaptability, and the potential of such systems. <br/>The developments of a compact, autonomous, and flexible robotic welding system are presented herein, consisting of a small (500 mm reach) 6-DoF robot with a flexible mounting arrangement for varying weld applications deployment. Optical and tactile sensing are utilized to identify and extract the feature characteristics of single-sided V-groove geometries while robotic motion is purely sensor-driven in real-time allowing the generation and adaption of the welding paths to varying V-groove geometries and random poses of the joint configuration. <br/>To fulfil the need for automated robotic welding, a new adaptive fill sequencing framework is presented, enabling automatic planning of multi-pass welding for single-sided V-groove geometries. Driven with commercial aspects in mind, a novel cost-function concept has been permutated and identifies the optimum welding parameters for each layer through a user-driven weighting, delivering the minimum number of passes, filler material and welding arc time based on application requirements. <br/>The concept methodology and framework were verified experimentally, through automated robotically deployed Gas Metal Arc Welding (GMAW) developed system. For a given representative joint, the arc welding time and filler wire requirement were found to be 32.9% and 26.2% lower respectively, than the worst-case available welding parameter combination, delivering a corresponding decrease in direct manufacturing costs. An ultrasonic inspection was also undertaken to verify the consistent quality of the weldments and validate the framework outcomes for enabling future successful exploitation. <br/>