预测L-PBF AlSi10Mg合金的高周期疲劳寿命:一个域知识引导的符号回归方法

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Huan Yu1, Yanan Hu1, Guozheng Kang1

  • 1School of Mechanics and Aerospace Engineering, Southwest Jiaotong University, Chengdu 611756, People's Republic of China.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
|November 19, 2023
PubMed
概括

一个新的模型通过整合缺陷几何学来预测增材制造金属的高循环疲劳 (HCF) 寿命. 这种方法比评估金属元件可靠性的现有方法提高了准确性和可解释性.

关键词:
合金是一种合金.疲劳寿命预测 疲劳寿命预测内部缺陷的表征,内部缺陷的描述.激光添加剂制造 激光添加剂制造基于物理的机器学习.

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