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Updated: Mar 15, 2026

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机器学习和RSM用于格子结构优化

Giampiero Donnici1, Marco Freddi1, Leonardo Frizziero1

  • 1Department of Industrial Engineering, Alma Mater Studiorum-University of Bologna, v.le Risorgimento 2, 40136 Bologna, Italy.

Polymers
|March 14, 2026
PubMed
概括

这项研究优化了使用响应表面方法 (RSM) 和人工神经网络 (ANN) 的3D打印摩托车快门的格子结构. 这些方法确定了用于增强制造应用的最佳硬度与重量比.

关键词:
人工神经网络的人工神经网络格子结构的格子结构.树脂添加剂制造业 树脂添加剂制造业响应表面方法 响应表面方法度优化 度优化

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