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English(EN) Spatiotemporal Graph Transformer for 3D Neighborhood Interaction and Quality Prediction in Metal Additive Manufacturing

时空图Transformer模拟金属制造交互

研究人员开发了一种新颖的时空图Transformer,旨在模拟金属增材制造中的复杂交互。该框架将制造过程表示为一个网络,能够集成多模态数据,并捕捉节点内特征依赖关系和跨节点邻域交互。实验表明,该方法在表征工艺-质量关系方面显著优于现有模型,其中跨层交互对于准确的质量预测至关重要。 AI

排序理由 该集群包含一篇详细介绍特定应用新模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Joyce Karen Pelaez, Siqi Zhang, Hoo Sang Ko ·

    Spatiotemporal Graph Transformer for 3D Neighborhood Interaction and Quality Prediction in Metal Additive Manufacturing

    arXiv:2606.10227v1 Announce Type: new Abstract: Metal additive manufacturing enables the fabrication of complex parts, but achieving consistent build quality remains challenging due to interactions induced by repeated layer-wise melting, solidification, and reheating across the 3…