A graph neural network with separate encoders for tube, die, and stamp contacts predicts wall thickness changes in nosing forging from FEM training data, evaluated with a new ABTC metric.
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Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approach
A graph neural network with separate encoders for tube, die, and stamp contacts predicts wall thickness changes in nosing forging from FEM training data, evaluated with a new ABTC metric.