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A mechanistic and stochastic approach to fatigue crack nucleation in coarse grain RR1000 using local stored energy
Author(s) -
Pan Yan Bin,
Dunne Fionn P.E.,
MacLachlan Duncan W.
Publication year - 2021
Publication title -
fatigue and fracture of engineering materials and structures
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.887
H-Index - 84
eISSN - 1460-2695
pISSN - 8756-758X
DOI - 10.1111/ffe.13376
Subject(s) - superalloy , materials science , nucleation , plasticity , microstructure , range (aeronautics) , metallurgy , finite element method , low cycle fatigue , structural engineering , energy (signal processing) , amplitude , grain boundary , crystal plasticity , composite material , thermodynamics , mathematics , statistics , engineering , physics , quantum mechanics
The crystal plasticity finite element (CPFE) method is used in conjunction with a critical local stored energy criterion to predict crack nucleation life for Coarse Grain (CG) nickel superalloy RR1000. Artificial representative microstructures are generated using Dream3D, and through simulation of multiple microstructural instantiations, a distribution of simulated fatigue response is generated. Fatigue of CG RR1000 is studied at 300°C and 700°C and at two R ratios of R = 0.1 and R = −1 giving a range of conditions to test the stored energy method. At higher temperature failure frequently occurs from inclusions, these are represented in the model by adding an inclusion with cohesive zones between inclusion and matrix. The results at 300°C are very good with the one parameter model (the critical stored energy) able to predict the mean, slope and distribution of fatigue data. At 700°C, the results are also good; however, fatigue life at high strain amplitude is overpredicted.