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Probabilistic prediction of the size effect on the fatigue strength for variable length specimens of selective laser melted 316L stainless steel
International Journal of Fatigue ( IF 6 ) Pub Date : 2024-02-19 , DOI: 10.1016/j.ijfatigue.2024.108225
Tomasz Tomaszewski , Andrzej Skibicki

The paper presents an approach for modelling of the size effect in the high-cycle fatigue for an additively manufactured stainless steel. The analyses verify the probability of a critical defect, significantly speeding up fatigue crack initiation. An assessment of the fracture surface failure mechanism shows the presence of a void due to lack of fusion. The selected defect parameters significantly decrease the fatigue strength with increasing specimen length. The implemented linear model of the normalized Crossland stress provides a good fit to the experimental data. The probabilistic approach to the scatter of the selected variables shows the correct prediction of fatigue properties.

中文翻译:

选区激光熔化 316L 不锈钢变长度试样疲劳强度尺寸效应的概率预测

本文提出了一种对增材制造的不锈钢高周疲劳中的尺寸效应进行建模的方法。分析验证了关键缺陷的可能性,显着加速了疲劳裂纹的萌生。对断裂表面失效机制的评估表明,由于缺乏熔合而存在空隙。所选择的缺陷参数随着样本长度的增加而显着降低疲劳强度。所实现的归一化 Crossland 应力的线性模型与实验数据非常吻合。所选变量分散的概率方法显示了疲劳特性的正确预测。
更新日期:2024-02-19
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