Simulated effect of defect volume and location on very high cycle fatigue of laser beam powder bed fused AlSi10Mg

被引:0
|
作者
Tahmasbi, Kamin [1 ]
Yaghoobi, Mohammadreza [2 ]
Shao, Shuai [3 ,4 ]
Shamsaei, Nima [3 ,4 ]
Haghshenas, Meysam [1 ]
机构
[1] Univ Toledo, Dept Mech Ind & Mfg Engn MIME, Fatigue Fracture & Failure Lab F3L, Fatigue, OH 43606 USA
[2] Univ Michigan, Mat Sci & Engn, Ann Arbor, MI 48109 USA
[3] Auburn Univ, Dept Mech Engn, Auburn, AL 36849 USA
[4] Auburn Univ, Natl Ctr Addit Mfg Excellence, Auburn, AL 36849 USA
关键词
Laser beam powder bed fusion; AlSi10Mg; Crystal plasticity; Very high cycle fatigue; Fatigue indicator parameter; DEFORMATION; BEHAVIOR; STATE;
D O I
10.1016/j.ijfatigue.2025.108926
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This study quantifies the interaction between volumetric defect location and size on the very high cycle fatigue (VHCF) of laser beam powder bed fused (LB-PBF) AlSi10Mg. Crystal plasticity finite element method (CPFEM) simulations were used to investigate the effects of defect location and size on the driving force for crack initiation. The CPFEM model was calibrated against uniaxial and cyclic experimental data of LB-PBF AlSi10Mg. Defect characteristics were informed by experimental data from the specimens produced in various geometries to create realistic representative volume elements (RVEs) with equivalent volume fractions of defects. By embedding defects of varying sizes and locations within the RVEs, fatigue indicator parameters (FIPs) were calculated to analyze the impact of defects' characteristics on fatigue performance. Different combinations of defect volume and locations were generated for various microstructure instantiations, providing insight into extreme value fatigue responses. Larger defect volumes located on free surfaces consistently generated the highest FIPs, suggesting defect size and boundary proximity intensify stress concentration effects. RVEs with multiple smaller defects produced lower FIPs than those with single large critical defects. These findings underscore the critical role of defect characteristics on fatigue life, providing a foundation for future predictive modeling in fatigue- sensitive AM applications.
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页数:29
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