The effect of random grain distributions on fatigue crack initiation in a notched coarse grained superalloy specimen
Source abstract
Abstract
Coarse grained superalloys are of large interest in high temperature applications, and can be found in e.g. gas turbine components, where great care must be given with respect to high temperature fatigue. Due to the large grain size, the material behaviour at e.g. sharp notches cannot be considered homogeneous. As a consequence, the fatigue behaviour is likely to expose a large variation. In order to numerically investigate this variation, a Monte Carlo analysis has been carried out by 100 FE-simulations of notched specimens, where placements and orientations of the grains were randomised. Furthermore, each grain was modelled as a unique single-crystal, displaying both anisotropic elastic and plastic behaviour and tension/compression asymmetry. The effect of randomness was investigated by the obtained dispersion in fatigue crack initiation life. It was concluded that the fatigue life behaviour of coarse grained nickel-base superalloys may show a considerable variation, which cannot be captured by one single deterministic analysis based on data for a homogenised material. Furthermore, the dispersion is of such a magnitude that it needs to be taken into account in industrial applications where highly stressed coarse grained materials are used. Highlights ▸ The fatigue life of a coarse grained superalloy specimen is investigated. ▸ Grains are approximately in the size of the notch in the specimen. ▸ A Monte Carlo analysis was performed by randomising the grain structure. ▸ Placements and orientations of the grains were randomised. ▸ The output variation in the fatigue life was investigated.
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Fatigue and fracture mechanics · High Temperature Alloys and Creep · Metallurgy and Material Forming
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (33)
Show source-provided references
1. Reed · 2006
2. Gao · Trans Tech Publ · 2010 · 139 · 1005
3. Gong · Comput Mater Sci · 2007 · 39 · 18710.1016/j.commatsci.2006.02.020 ↗
4. D. Leidermark, J. Moverare, K. Simonsson, S. Sjöström, S. Johansson, Proc Eng 2 (2010) 1067–1075.10.1016/j.proeng.2010.03.115 ↗
5. Askeland · 2001
6. Suresh · 1998
7. Krupp · 2007
8. Kanesund · Mater Sci Eng A · 2011 · 528 · 465810.1016/j.msea.2011.02.063 ↗
9. Rainsberger · 2006
10. Hallquist · 2006
11. Robert · 1999
12. Casella · 2002
13. Leidermark · Comput Mater Sci · 2009 · 47 · 36610.1016/j.commatsci.2009.08.012 ↗
14. Qin · J Mech Phys Solids · 1992 · 40 · 81310.1016/0022-5096(92)90005-M ↗
15. Qin · J Mech Phys Solids · 1992 · 40 · 83510.1016/0022-5096(92)90006-N ↗
16. Anomalous Yield Behaviour of Compounds with L12 Structure10.1016/S1572-4859(96)80006-4 ↗
17. Nitz · Mater Sci Eng · 1999 · A263 · 1510.1016/S0921-5093(98)01025-9 ↗
18. Dao · Mater Sci Eng · 1993 · A170 · 14310.1016/0921-5093(93)90376-P ↗
19. Steinmann · Int J Solids Struct · 1998 · 35 · 443710.1016/S0020-7683(97)00241-2 ↗
20. Vitek · Mater Sci Eng · 2004 · A365 · 3110.1016/j.msea.2003.09.004 ↗
21. Bande · J Eng Mater Technol · 2005 · 127 · 11910.1115/1.1839193 ↗
22. Belytschko · 2000
23. Karolczuk · Int J Fracture · 2005 · 134 · 26710.1007/s10704-005-1088-2 ↗
24. Findley · J Eng Ind · 1959 · 30110.1115/1.4008327 ↗
25. Kandil · 1988 · Book 280
26. Fatemi · Fatigue Fract Eng Mater Struct · 1988 · 11 · 14910.1111/j.1460-2695.1988.tb01169.x ↗
27. Arakere · J Eng Gas Turbines Power · 2002 · 124 · 16110.1115/1.1413767 ↗
28. Naik · J Eng Gas Turbines Power · 2004 · 126 · 39110.1115/1.1690768 ↗
29. Leidermark · Int J Fatigue · 2011 · 33 · 135110.1016/j.ijfatigue.2011.05.009 ↗
30. Leidermark · Proc Eng · 2011 · 10 · 61910.1016/j.proeng.2011.04.103 ↗
31. National Supercomputer Centre, (2010.09.06).
32. MATLAB version 7.3.0.267 (R2006b), The MathWorks Inc., Natick, 2006, .
33. Birnbaum · J Appl Probab · 1969 · 6 · 31910.2307/3212003 ↗