Fatigue life prediction at mesoscopic scale of samples containing casting defects: A novel energy based non-local model
Source abstract
Abstract
Fatigue failure driven by stress gradients associated to casting defects was studied in two cast nickel-based superalloys. The experimental campaign revealed complex damage phenomena linked to spongeous shrinkages, characterized by their intricate arrangement of defects in the material medium, forming defect clusters. Multiple cracks were observed to initiate from defect volumes, coalescing with neighboring void surfaces along crystallographic planes. Defects were characterized using X-ray computed tomography, and image-based finite element (FE) models were constructed as digital representations of each experimental sample explicitly containing all real casting defects. Numerical simulations of these FE models under the same conditions as the experiments revealed that tortuous defects contain small ligaments where very high local stresses develop. These ligaments initiate early cracks, but due to the limited stressed volumes, these cracks do not drive the life of the material. A thorough comparison of simulations with experiments led to the development of an original method to define stressed volumes and address small ligaments. Finally, a novel energy-based non-local model was proposed, using two parameters to predict the fatigue lives of samples containing casting defects at the mesoscopic scale. The model was validated against samples with varying porosity levels, sizes, and geometries, accurately predicting fatigue lives within a factor of 3 compared to experimental results. This new approach generalizes the application of non-local methods to real casting defects by considering their shape and stressed volumes to estimate fatigue properties.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Fatigue and fracture mechanics · Aluminum Alloy Microstructure Properties · High Temperature Alloys and Creep
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (74)
Show source-provided references
1. Experimental study of porosity and its relation to fatigue mechanisms of model Al–Si7–Mg0.3 Cast Al alloys10.1016/S0921-5093(01)01225-4 ↗
2. Fatigue from defect: Influence of size, type, position, morphology and loading10.1016/j.ijfatigue.2021.106531 ↗
3. Influence of natural defects on the fatigue limit of a cast Al-Si alloy10.1016/j.prostr.2017.11.120 ↗
4. Casting defects and high temperature fatigue life of IN 713LC superalloy10.1016/j.ijfatigue.2011.12.002 ↗
5. Fatigue behavior of A356-T6 aluminum cast alloys.Part I. Effect of casting defects
6. Experimental investigation of the size effect in high cycle fatigue: role of the defect population in cast aluminium alloys10.1016/j.ijfatigue.2019.105222 ↗
7. A probabilistic approach for high cycle fatigue of wire and arc additive manufactured parts taking into account process-induced pores10.1016/j.addma.2021.101989 ↗
8. XCT analysis of the influence of melt strategies on defect population in Ti–6Al–4V components manufactured by selective electron beam melting10.1016/j.matchar.2015.02.008 ↗
9. Murr · 2009
10. Effects of defects, inclusions and inhomogeneities on fatigue strength10.1016/0142-1123(94)90001-9 ↗
11. Investigation of the effect of porosity on the high cycle fatigue behaviour of cast Al-Si alloy by X-ray micro-tomography10.1016/j.ijfatigue.2017.09.012 ↗
12. Defect analysis and fatigue design basis for Ni-based superalloy 718 manufactured by selective laser melting10.1016/j.ijfatigue.2018.08.002 ↗
13. Novel quantification of porosity defects on fatigue behavior for cast aluminum-silicon alloys by X-ray micro-tomography10.1016/j.msea.2022.143992 ↗
14. Quantitative evaluation of fatigue life of cast aluminum alloys by non-destructive testing and parameter model10.1016/j.ijfatigue.2013.05.017 ↗
15. Detection and influence of shrinkage pores and nonmetallic inclusions on fatigue life of cast aluminum alloys10.1007/s11661-013-1773-0 ↗
16. Probabilistic low cycle fatigue criterion for nodular cast-irons10.1016/j.ijfatigue.2020.105701 ↗
17. Generation of synthetic microstructures containing casting defects: A machine learning approach10.1038/s41598-023-38719-0 ↗
18. Role of defects in fatigue performance of IN100
19. Clustered shrinkage pores in ill-conditioned aluminum alloy die castings10.2320/matertrans.MAW201032 ↗
20. Fatigue from defect under multiaxial loading: Defect stress gradient (DSG) approach using ellipsoidal equivalent inclusion method10.1016/j.ijfatigue.2013.08.027 ↗
21. Analysing the effect of defects on stress concentration and fatigue life of L-PBF AlSi10Mg alloy using finite element modelling
22. Fatigue assessment of nodular cast iron with material imperfections10.4271/2017-01-0344 ↗
23. Prediction of the fatigue life of cast steel containing shrinkage porosity10.1007/s11661-008-9755-3 ↗
24. Casting defects in structural components: Are they all dangerous? A 3D study10.1016/j.ijfatigue.2018.08.019 ↗
25. A new energy based highly stressed volume concept to investigate the notch-pores interaction in thick-walled ductile cast iron subjected to uniaxial fatigue10.1016/j.ijfatigue.2022.107491 ↗
26. Quantitative X-ray tomography10.1179/1743280413Y.0000000023 ↗
27. 3D characterization and modeling of low cycle fatigue damage mechanisms at high temperature in a cast aluminum alloy10.1016/j.actamat.2016.10.028 ↗
28. In situ 3D characterization of high temperature fatigue damage mechanisms in a cast aluminum alloy using synchrotron X-ray tomography10.1016/j.scriptamat.2015.11.017 ↗
29. Geometrical effects in fatigue: A unifying theoretical model10.1016/S0142-1123(99)00007-9 ↗
30. The theory of critical distances10.1016/j.engfracmech.2007.04.007 ↗
31. Fatigue life estimation of notched elements with use of non-local volumetric method10.1016/j.ijfatigue.2013.12.004 ↗
32. Multiaxial fatigue of V-notched steel specimens: a non-conventional application of the local energy method10.1111/j.1460-2695.2011.01585.x ↗
33. From neuber’s elementary volume to kitagawa and atzori’s diagrams: An interpretation based on local energy10.1007/s10704-005-4393-x ↗
34. A review on nonlocal theories in fatigue assessment of solids10.3390/ma16020831 ↗
35. Recent advances on notch effects in metal fatigue: A review10.1111/ffe.13195 ↗
36. Identification of fatigue crack growth mechanisms in IN100 superalloy as a function of temperature and frequency: Identification of fatigue crack growth mechanisms10.1111/j.1460-2695.2012.01715.x ↗
37. Dissolution behaviour of the γ′ precipitates in two kinds of Ni-based superalloys10.1179/1878641315Y.0000000006 ↗
38. Crystallographic initiation of nickel-base superalloy in100 at rt and 538 c under low cycle fatigue conditions
39. Microstructure and mechanical properties evolutions of alloy 718 during isothermal and thermal cycling over-aging10.1016/j.matdes.2016.04.048 ↗
40. Gayda J, Miner R, Telesman J, Dickerson P. High cycle fatigue crack initiation study of case blade alloy rene 125. tech. rep., 2000.
41. Vincent · 2009 · 6
42. Identification of Chaboche–Lemaitre combined isotropic–kinematic hardening model parameters assisted by the fuzzy logic analysis10.1007/s00707-020-02851-z ↗
43. Determination of material properties in the chaboche unified viscoplasticity model
44. Contrast limited adaptive histogram equalization
45. Fiji: an open-source platform for biological-image analysis10.1038/nmeth.2019 ↗
46. Dawson-Haggerty. trimesh, URL https://trimsh.org/.
47. Gmsh: A 3-D finite element mesh generator with built-in pre-and post-processing facilities10.1002/nme.2579 ↗
48. Standard E2660-17 · 2017
49. Fatigue limit of a cast Al-Si-Mg Alloy (A357-T6) with natural casting shrinkages using ASTM standard X-ray inspection10.1016/j.ijfatigue.2018.05.026 ↗
50. On the role of internal defects in the fatigue damage process of a cast al-si-cu alloy10.1016/j.ijfatigue.2018.07.012 ↗
51. Quantification and characterisation of porosity in selectively laser melted Al–Si10–Mg using X-ray computed tomography10.1016/j.matchar.2015.12.001 ↗
52. A machine-learning fatigue life prediction approach of additively manufactured metals10.1016/j.engfracmech.2020.107508 ↗
53. Zebulon Z-set, URL http://www.zset-software.com.
54. Multiaxial fatigue damage criterion10.1115/1.3226012 ↗
55. Fatigue design of structures under thermomechanical loadings: Thermomechanical fatigue design10.1046/j.1460-2695.2002.00612.x ↗
56. An energetic approach in thermomechanical fatigue for silicon molybdenum cast iron10.1179/mht.2000.17.3.001 ↗
57. An engineering model for low cycle fatigue life based on a partition of energy and micro-crack growth10.1016/j.ijfatigue.2008.09.004 ↗
58. Fatigue crack growth under large scale yielding condition: The need of a characteristic length scale10.1016/j.ijfatigue.2017.03.021 ↗
59. Full-field analysis of damage under complex thermomechanical loading10.1016/j.ijfatigue.2023.107513 ↗
60. Stability of the critical distance method for fretting cracking prediction: influence of microstructure and crack nucleation size10.1016/j.triboint.2023.108570 ↗
61. Small fatigue crack growth and failure mode transitions in a Ni-base superalloy at elevated temperature10.1016/j.ijfatigue.2010.01.015 ↗
62. Microstructure-sensitive probabilistic modeling of HCF crack initiation and early crack growth in Ni-base superalloy IN100 notched components10.1016/j.ijfatigue.2011.09.014 ↗
63. Propagation behaviour of microstructural short fatigue cracks in the high-cycle fatigue regime10.1016/j.commatsci.2009.01.019 ↗
64. Technical note high-cycle fatigue crack initiation and propagation behaviour of high-strength sprin steel wires
65. A non-local theory applied to high cycle multiaxial fatigue: A non-local theory in multiaxial fatigue10.1046/j.1460-2695.2002.00527.x ↗
66. Tailoring the theory of critical distances to better assess the combined effect of complex geometries and process-inherent defects during the fatigue assessment of SLM Ti-6Al-4V10.1016/j.ijfatigue.2023.107602 ↗
67. Application of a new model proposal for fatigue life prediction on notches and key-seats10.1016/S0142-1123(99)00046-8 ↗
68. Gradient-enhanced damage modelling of high-cycle fatigue10.1002/1097-0207(20001230)49:12<1547::AID-NME16>3.0.CO;2-D ↗
69. Effects of highly stressed volume on fatigue strength of austempered ductile irons10.1016/S0142-1123(97)00134-5 ↗
70. A combined critical distance and highly-stressed-volume model to evaluate the statistical size effect of the stress concentrator on low cycle fatigue of TA19 plate10.1016/j.ijfatigue.2016.10.003 ↗
71. Probabilistic modeling of the size effect and scatter in high cycle fatigue using a Monte-Carlo approach: role of the defect population in cast aluminum alloys10.1016/j.ijfatigue.2021.106177 ↗
72. Palchoudhary · 2024
73. Probabilistic fatigue assessment of notched components under size effect using generalized weakest-link model10.1016/j.ijfatigue.2022.107005 ↗
74. Spatial point pattern methodology for the study of pores 3D patterning in two casting aluminium alloys