A mechanistic and stochastic approach to fatigue crack nucleation in coarse grain RR1000 using local stored energy
File(s)paperv20.pdf (1.7 MB)
Accepted version
Author(s)
Pan, Yan Bin
Dunne, Fionn PE
MacLachlan, Duncan W
Type
Journal Article
Abstract
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.
Date Issued
2021-02
Date Acceptance
2020-10-19
Citation
Fatigue and Fracture of Engineering Materials and Structures, 2021, 44 (2), pp.505-520
ISSN
1460-2695
Publisher
Wiley
Start Page
505
End Page
520
Journal / Book Title
Fatigue and Fracture of Engineering Materials and Structures
Volume
44
Issue
2
Copyright Statement
© 2020 John Wiley & Sons Ltd. This is the accepted version of the following article: Pan, YB, Dunne, FPE, MacLachlan, DW. A mechanistic and stochastic approach to fatigue crack nucleation in coarse grain RR1000 using local stored energy. Fatigue Fract Eng Mater Struct. 2021; 44: 505– 520, which has been published in final form at https://doi.org/10.1111/ffe.13376
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000584274600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Engineering, Mechanical
Materials Science, Multidisciplinary
Engineering
Materials Science
crack nucleation
crystal plasticity
fatigue life prediction
Monte Carlo method
nickel‐
based Superalloy
nonmetallic inclusion
CRYSTAL PLASTICITY
HIGH-CYCLE
LIFE PREDICTION
MICROSTRUCTURE
GROWTH
INITIATION
DENSITY
MODEL
Publication Status
Published online
Date Publish Online
2020-11-03