Simulated effect of defect volume and location on very high cycle fatigue of laser beam powder bed fused AlSi10Mg
Source abstract
Abstract
• The effects of defect size and location on VHCF behavior in LB-PBF AlSi10Mg were simulated. • A CPFEM, calibrated with monotonic and cyclic data, was used to investigate fatigue crack formation. • Surface-adjacent and irregularly shaped defects were shown to significantly amplify fatigue crack driving forces. • Samples with multiple small defects exhibited lower fatigue susceptibility than those with single large defects under cyclic loading. 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.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Additive Manufacturing Materials and Processes · High Entropy Alloys Studies · High Temperature Alloys and Creep
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (48)
Show source-provided references
1. ICME approach to determining critical pore size of IN718 produced by selective laser melting10.1007/s11837-019-03910-0 ↗
2. The role of defects and critical pore size analysis in the fatigue response of additively manufactured IN718 via crystal plasticity10.1016/j.matdes.2018.04.022 ↗
3. Statistical analysis of the effect of micro-defect size on the low cyclic fatigue and creep fatigue response of 316FR stainless steel using crystal plasticity finite element method10.1016/j.engfailanal.2024.107973 ↗
4. Synergistic effect of microstructure and defects on the initiation of fatigue cracks in additively manufactured Inconel 71810.1016/j.ijfatigue.2022.107002 ↗
5. Very-high-cycle fatigue behavior of AlSi10Mg manufactured by selected laser melting: crystal plasticity modeling10.1016/j.ijfatigue.2020.106109 ↗
6. High-cycle and very-high-cycle fatigue lifetime prediction of additively manufactured AlSi10Mg via crystal plasticity finite element method10.1016/j.ijfatigue.2021.106577 ↗
7. A crystal plasticity approach to understand fatigue response with respect to pores in additive manufactured aluminium alloys10.1016/j.ijfatigue.2022.106917 ↗
8. Intentionally seeding pores in additively manufactured alloy 718: process parameters, microstructure, defects, and fatigue
9. Modeling fatigue behavior of additively manufactured alloys with an emphasis on pore defect morphology10.1016/j.jmps.2023.105429 ↗
10. A methodology for the rapid qualification of additively manufactured materials based on pore defect structures10.1007/s40192-024-00343-9 ↗
11. Very high cycle fatigue characteristics of laser beam powder bed fused AlSi10Mg: a systematic evaluation of part geometry10.1016/j.ijfatigue.2024.108544 ↗
12. Fatigue behavior of additively manufactured 17-4 PH stainless steel: synergistic effects of surface roughness and heat treatment10.1016/j.ijfatigue.2019.02.039 ↗
13. A comparative investigation on the microstructure and mechanical properties of additively manufactured aluminum alloys10.1016/j.ijfatigue.2021.106165 ↗
14. Ultrasonic Fatigue Testing System, Shimadzu USF-2000A. www.ssi.shimadzu.com.
15. PRISMS-Plasticity: an open-source crystal plasticity finite element software10.1016/j.commatsci.2019.109078 ↗
16. Prisms-fatigue computational framework for fatigue analysis in polycrystalline metals and alloys10.1038/s41524-021-00506-8 ↗
17. Simulated effects of sample size and grain neighborhood on the modeling of extreme value fatigue response10.1016/j.actamat.2021.117524 ↗
18. Effect of sample size on the maximum value distribution of fatigue driving forces in metals and alloys10.1016/j.ijfatigue.2023.107853 ↗
19. Microstructure-sensitive modeling of surface roughness and notch effects on extreme value fatigue response10.1016/j.ijfatigue.2022.107295 ↗
20. Crystal plasticity finite element modeling of grain size and morphology effects on yield strength and extreme value fatigue response10.1016/j.jmrt.2022.06.075 ↗
21. Allgemeine kontinuumstheorie der versetzungen und eigenspannungen10.1007/BF00281393 ↗
22. Elastic-plastic deformation at finite strains10.1115/1.3564580 ↗
23. Overview no. 42 texture development and strain hardening in rate dependent polycrystals10.1016/0001-6160(85)90188-9 ↗
24. Constitutive equations for hot-working of metals10.1016/0749-6419(85)90004-X ↗
25. Crystallographic texture evolution in bulk deformation processing of FCC metals10.1016/0022-5096(92)80003-9 ↗
26. Kinematic hardening rules with critical state of dynamic recovery, part I: formulation and basic features for ratchetting behavior10.1016/0749-6419(93)90042-O ↗
27. Stress state dependence of cyclic ratchetting behavior of two rail steels10.1016/S0749-6419(95)00005-4 ↗
28. DREAM 3D: a digital representation environment for the analysis of microstructure in 3D10.1186/2193-9772-3-5 ↗
29. Effects of boundary conditions on microstructure-sensitive fatigue crystal plasticity analysis10.1007/s40192-021-00219-2 ↗
30. Influence of the annealing and defects on the VHCF behavior of an SLM AlSi10Mg alloy10.1111/ffe.13123 ↗
31. Dynamic frequency-dependent fatigue damage in metals: a state-of-the-art review10.1016/j.finmec.2023.100167 ↗
32. Effects of algorithmic simulation parameters on the prediction of extreme value fatigue indicator parameters in duplex Ti-6Al-4V10.1016/j.ijfatigue.2020.105865 ↗
33. Bridges-2: a platform for rapidly-evolving and data intensive research
34. Microstructure-sensitive computational modeling of fatigue crack formation10.1016/j.ijfatigue.2010.01.003 ↗
35. A critical plane approach to multiaxial fatigue damage including out‐of‐phase loading10.1111/j.1460-2695.1988.tb01169.x ↗
36. Assessment of small fatigue crack growth driving forces in single crystals with and without slip bands10.1007/s10704-012-9726-y ↗
37. Microstructure-sensitive computational multiaxial fatigue of Al 7075-T6 and duplex Ti-6Al-4V10.1016/j.ijfatigue.2019.105460 ↗
38. Microstructure-sensitive computational estimates of driving forces for surface versus subsurface fatigue crack formation in duplex Ti-6Al-4V and Al 7075-T610.1007/s11837-019-03804-1 ↗
39. Castillo · 2012
40. Prediction of high cycle fatigue strength for additive manufactured metals by defects incorporated crystal plasticity modeling10.1016/j.msea.2023.144832 ↗
41. Defects as a root cause of fatigue weakening of additively manufactured AlSi10Mg components10.1016/j.tafmec.2020.102611 ↗
42. Yeratapally SR, Lang C, Glaessgen EH. A computational study to investigate the effect of defect geometries on the fatigue crack driving forces in powder-bed AM materials. Doc. ID 20200002900; 2020. https://doi.org/10.2514/6.2020-1386, https://ntrs.nasa.gov/citations/20200002900.10.2514/6.2020-1386 ↗
43. Examining metrics for fatigue life predictions of additively manufactured IN718 via crystal plasticity modeling including the role of simulation volume and microstructural constraints10.1016/j.msea.2020.139312 ↗
44. Comparative assessment of backstress models using high-energy X-ray diffraction microscopy experiments and crystal plasticity finite element simulations10.1016/j.ijplas.2020.102887 ↗
45. Sensitivity of polycrystal plasticity to slip system kinematic hardening laws for Al 7075-T610.1016/j.msea.2017.01.070 ↗
46. Comparison of full field predictions of crystal plasticity simulations using the Voce and the dislocation density based hardening laws10.1016/j.ijplas.2021.103099 ↗
47. A systematic review on high cycle and very high cycle fatigue behavior of laser powder bed fused (L-PBF) Al-Si alloys
48. Effect of direct metal laser sintering build parameters on defects and ultrasonic fatigue performance of additively manufactured AlSi10Mg10.1111/ffe.13355 ↗