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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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Abo-Serie, Essam
Coventry University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (5/5 displayed)
- 2025Lattice Structure for Improving Cooling Uniformity in HPDC Mould Corners
- 2023Cooling channel free surface optimisation for additively manufactured casting toolscitations
- 2019Conformal cooling of aluminium flat fins using a 3-D printed water-cooled mould
- 2018Robust butt welding seam finding technique for intelligent robotic welding system using active laser visioncitations
- 2016GAS METAL ARC WELDING QUALITY EVALUATION USING SOUND SIGNALS
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document
GAS METAL ARC WELDING QUALITY EVALUATION USING SOUND SIGNALS
Abstract
Sound signals produced during Gas Metal Arc Welding, GMAW, possess valuable information that can be analyzed for weld quality control purposes. In this study, sound signals produced by robotic GMAW in the short 4th International Conference on Welding Technologies and Exhibitioncircuit metal transfer mode were used for evaluating the quality of the final weld. A condenser microphone attached to end effector of KUKA robot was employed to acquire the sound signals produced during the welding. An algorithm was developed to analyze the different acoustic waves together with the arc voltage and welding current in the time domain. The resultant frequencies and amplitudes together with the current signal were correlated to provide information about the quality of welding. The correlation can be used as an input to the robot controller to produce an online quality control for GMAW with minimal defects.