81
IRUS Total
Downloads
  Altmetric

A mechanistic and stochastic approach to fatigue crack nucleation in coarse grain RR1000 using local stored energy

File Description SizeFormat 
paperv20.pdfAccepted version1.74 MBAdobe PDFView/Open
Title: A mechanistic and stochastic approach to fatigue crack nucleation in coarse grain RR1000 using local stored energy
Authors: Pan, YB
Dunne, FPE
MacLachlan, DW
Item 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.
Issue Date: Feb-2021
Date of Acceptance: 19-Oct-2020
URI: http://hdl.handle.net/10044/1/85260
DOI: 10.1111/ffe.13376
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
Keywords: Science & Technology
Technology
Engineering, Mechanical
Materials Science, Multidisciplinary
Engineering
Materials Science
crack nucleation
crystal plasticity
fatigue life prediction
Monte Carlo method
nickel&#8208
based Superalloy
nonmetallic inclusion
CRYSTAL PLASTICITY
HIGH-CYCLE
LIFE PREDICTION
MICROSTRUCTURE
GROWTH
INITIATION
DENSITY
MODEL
Science & Technology
Technology
Engineering, Mechanical
Materials Science, Multidisciplinary
Engineering
Materials Science
crack nucleation
crystal plasticity
fatigue life prediction
Monte Carlo method
nickel&#8208
based Superalloy
nonmetallic inclusion
CRYSTAL PLASTICITY
HIGH-CYCLE
LIFE PREDICTION
MICROSTRUCTURE
GROWTH
INITIATION
DENSITY
MODEL
0905 Civil Engineering
0912 Materials Engineering
0913 Mechanical Engineering
Mechanical Engineering & Transports
Publication Status: Published online
Online Publication Date: 2020-11-03
Appears in Collections:Materials