StampFormer fuses geometry and material properties in a Swin-UNet backbone with custom modules to predict stamping FEA fields at <8.5% relative error in under one second.
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StampFormer: A Physics-Guided Material-Geometry-Coupled Multimodal Model for Rapid Prediction of Physical Fields in Sheet Metal Stamping
StampFormer fuses geometry and material properties in a Swin-UNet backbone with custom modules to predict stamping FEA fields at <8.5% relative error in under one second.