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Maharajan Joseph Davidson on Muck Rack

Maharajan Joseph Davidson

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Machine learning-based prediction of bead geometry in AZ31 magnesium alloy using robotic cold metal transfer WAAM

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By Suresh Babu Goka, Syed Quadir Moinuddin, Dhanunjay Kumar Ammisetti, Manjaiah Mallaiah, Ashok Kumar Yadav, Maharajan Joseph Davidson
| Nature Verified
Abstract This research proposes a machine learning (ML)-assisted framework for bead geometry analysis and optimization in cold metal transfer (CMT)-processed AZ31 magnesium parts. This work aims to predict and validate the bead geometry of single beads using ML techniques. This approach can be used to fabricate thin-walled AZ31 magnesium alloy components via robotic wire arc additive manufacturing (WAAM).
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