Machine learning based very-high-cycle fatigue life prediction of AlSi10Mg alloy fabricated by selective laser melting

International Journal of Fatigue(2023)

引用 11|浏览6
暂无评分
摘要
•Interpolation methods with Gaussian mixture model augment dataset.•ANN, SVR and RF models predict fatigue life.•Improving fatigue life with defects smaller, more regular and farther from surface.
更多
查看译文
关键词
Very-high-cycle fatigue (VHCF),Machine learning (ML),Selective laser melting (SLM),Fatigue life prediction,Interpolation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要