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Updated: May 15, 2025

Surrogate Model Development for Digital Experiments in Welding
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通过人工智能增强的数字双胞胎系统优化旋转摩擦接参数

Piotr Lacki1, Janina Adamus1, Kuba Lachs2

  • 1Faculty of Civil Engineering, Częstochowa University of Technology, J.H. Dąbrowskiego 69 Str., 42-201 Częstochowa, Poland.

Materials (Basel, Switzerland)
|May 14, 2025
PubMed
概括

这项研究使用人工神经网络来创建用于旋转摩擦接的数字双胞胎,准确预测和接头的温度. 这个由人工智能驱动的系统实时优化接参数,以提高质量和效率.

关键词:
人工神经网络的人工神经网络有限元素方法的方法.旋转摩擦接 旋转摩擦接数字双胞胎数字双胞胎是什么意思

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