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Updated: Sep 14, 2025

Surrogate Model Development for Digital Experiments in Welding
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使用基于ML的替代模型对基于支架的陀螺状晶格结构的相对模块的全面预测

Naufal Muhammad Judawisastra1, Satrio Wicaksono1, Yohanes Bimo Dwianto2

  • 1Mechanics of Solids and Lightweight Structures Research Group, Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung, Bandung, Indonesia.

Journal of biomedical materials research. Part B, Applied biomaterials
|July 22, 2025
PubMed
概括

准确预测状腺格子结构 (GLS) 的弹性模块对于骨科植入物至关重要. 与传统方法相比,机器学习模型在所有密度上提供了更高的精度,提高了植入物设计.

关键词:
弹性模块预测的预测有限元分析是有限元分析.状腺晶格结构结构的结构机器学习是机器学习.应力屏蔽 应力屏蔽

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