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✉news SciencePhysics first seen 10 d ago, last 9 d ago, peak #6

Physics-guided AI optimises aluminium 3D printing process

Original: Interpretable physics-guided multi-output learning for optimizing circular-path cold metal transfer wire arc additive manufacturing of ER5356 aluminium alloy

Researchers have published a study in Nature presenting an interpretable, physics-guided machine-learning method to optimise circular-path cold metal transfer wire arc additive manufacturing of ER5356 aluminium alloy. The multi-output learning approach aims to make process parameter optimisation more transparent and reliable for wire arc additive manufacturing of aluminium components.

Why now: New research combining interpretable machine learning with metal 3D printing is drawing attention from the additive manufacturing community.

NatureER5356 aluminium alloywire arc additive manufacturingcold metal transfer

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