✉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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