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In the landscape of Industry 4.0, particularly within complex sectors like aerospace and maritime engineering, the ability to control large-scale additive manufacturing processes in real-time is essential for maintaining efficiency and competitiveness. As part of the European Union’s Horizon PIONEER initiative, researchers today unveiled a cutting-edge Artificial Intelligence solution designed to revolutionise Wire Arc Additive Manufacturing (WAAM): the Temporal Graph Neural Operator (TGNO).
This new deep learning architecture solves one of the most persistent challenges in metal 3D printing, structural deformation due to thermal stress, by accurately predicting final cambering curves on the critical Y (longitudinal) and Z (vertical) axes.
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