Numerical study of inclusion parameters and their influence on fatigue lifetime
Source abstract
Abstract
Abstract The understanding of the influence of inclusion parameters like size, shape and surface roughness on the material’s fatigue behavior can provide important guidelines for future material design. In this study, a numerical model is used to calculate the influence of inclusions on fatigue properties. The model consists of the statistical evaluation of numerous representative volume element (RVE) calculations in combination with a crystal plasticity (CP) constitutive model. The RVEs contain inclusions which differ in size, shape, surface roughness and elastic mismatch to the matrix. These parameters have been identified to determine the fatigue lifetime for the case that inclusions are the origin of failure. For each inclusion type, up to 100 RVEs are generated. The RVEs have statistically equivalent distributed microstructural properties but differ in detail, though. The results show that the inclusion size has the biggest influence on the lifetime. The influence of shape and roughness of the inclusion surface is negligible small. The study of the elastic mismatch is matching literature findings. All in all, this study shows that the numerical model can be used to calculate the influence of inclusions on fatigue lifetime. The use of the model can help to reduce the experimental effort for specifying the minimum cleanness requirement of a steel to guarantee the structural integrity under cyclic loading.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Fatigue and fracture mechanics · Mechanical Behavior of Composites · Fire effects on concrete materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (39)
Show source-provided references
1. Effects of small defects on fatigue strength of metals10.1016/0142-1123(80)90024-9 ↗
2. Long life high strength steels to resist fatigue failure and delayed fracture
3. Influence of inclusion size on fatigue behavior of high strength steels in the gigacycle fatigue regime10.1016/j.ijfatigue.2006.06.004 ↗
4. Influence of the inclusion shape on the rolling contact fatigue life of carburized steels10.1007/s11661-012-1344-9 ↗
5. The effects of externally introduced alumina particles on the fatigue life of En24 steel
6. The relationship between fatigue and stress concentration10.1108/eb031482 ↗
7. McDowell DL, Ellis JR. Advances in multiaxial fatigue. ASTM International; 1993. https://doi.org/10.1520/STP1191-EB.10.1520/STP1191-EB ↗
8. Multiaxial fatigue strength of common structural steel and the response of some estimation methods10.1016/j.ijfatigue.2017.07.001 ↗
9. The effect of machined topography and integrity on fatigue life10.1016/j.ijmachtools.2003.10.018 ↗
10. The influence of grain size on the fatigue behavior of annealed 316 LVM stainless steel10.1002/jbm.820130308 ↗
11. Effect of grain size on fatigue damage in pure aluminium10.2472/jsms.26.289 ↗
12. Murakami · 2002
13. Effects of inclusions on very high cycle fatigue properties of high strength steels10.1179/1743280411Y.0000000008 ↗
14. Effect of inclusions on LCF life of HIP plus heat treated powder metal René 9510.1007/BF02667513 ↗
15. Probabilistic approaches to fatigue with special emphasis on initiation from inclusions10.1016/j.ijfatigue.2016.09.002 ↗
16. Sulfide shape control in high strength low alloy steels10.1007/BF03037861 ↗
17. Inclusion control in a 16 Mn steel using a combined rare earth and calcium treatment10.1007/BF02834029 ↗
18. Mechanisms of extrusion and intrusion formation in fatigued crystalline materials10.1016/j.msea.2013.12.005 ↗
19. The shape of extrusions and intrusions and initiation of stage I fatigue cracks10.1016/j.msea.2009.03.070 ↗
20. The modeling scheme to evaluate the influence of microstructure features on microcrack formation of DP-steel: the artificial microstructure model and its application to predict the strain hardening behavior10.1016/j.commatsci.2014.04.011 ↗
21. Modeling the microstructure influence on fatigue life variability in structural steels10.1016/j.commatsci.2014.05.059 ↗
22. Numerically predicted high cycle fatigue properties through representative volume elements of the microstructure10.1016/j.ijfatigue.2017.09.002 ↗
23. The Mathworks Inc. Gamma distribution; 2017. .
24. Forbes C, Evans M, Hastings N, Peacock B. Statistical distributions, 4th ed. Estados Unidos: John Wiley & Sons, Inc.; 2011. https://doi.org/10.1002/9780470627242.10.1002/9780470627242 ↗
25. Okabe A, Boots B, Sugihara K, Chiu SN, Kendall DG. Spatial tessellations. Hoboken, NJ, USA: John Wiley & Sons, Inc; 2000. https://doi.org/10.1002/9780470317013.10.1002/9780470317013 ↗
26. Modeling and characterization of two-phase composites by Voronoi diagram in the Laguerre geometry based on random close packing of spheres10.1016/j.commatsci.2009.11.028 ↗
27. On the influence of steel microstructure on short crack growth under cyclic loading10.1016/j.ijfatigue.2011.12.005 ↗
28. Microstructure based modeling for the mechanical behavior of ferrite–pearlite steels suitable to capture isotropic and kinematic hardening10.1016/j.msea.2008.06.009 ↗
29. Dassault Systèmes. Abaqus Documentation. .
30. Wriggers · 2008
31. Roters F. Crystal plasticity finite element methods: In: Materials science and engineering. Weinheim: Wiley-VCH; 2010.10.1002/9783527631483 ↗
32. 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 ↗
33. The Mathworks Inc. Extreme value distribution; 2017. .
34. Estimating fatigue sensitivity to polycrystalline ni-base superalloy microstructures using a computational approach10.1111/j.1460-2695.2007.01159.x ↗
35. A dislocation model for fatigue crack initiation10.1115/1.3157599 ↗
36. Auswertung von Stichproben normalverteilter, quantitativer Merkmalsgrößen10.1002/mawe.19940250107 ↗
37. A method for obtaining and analyzing sensitivity data10.1080/01621459.1948.10483254 ↗
38. Juvonen P. Effects of non-metallic inclusions on fatigue properties of calcium treated steels, vol. 4/04 of Teknillisen korkeakoulun materiaalitekniikan laboratorion julkaisuja. Espoo: Helsinki University of Technology; 2004.
39. Stress concentrations around spheroidal inclusions and cavities10.1115/1.4010216 ↗