2008
DOI: 10.1016/j.ijplas.2008.01.001
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Microstructure-sensitive modeling of polycrystalline IN 100

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Cited by 168 publications
(66 citation statements)
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“…In recent years, microstructure explicit fatigue models for polycrystalline Ni-based superalloys have been developed [33][34][35][36][37][38][39][40] that confirm strain localization around microstructural features, primarily at twin boundaries, prior to nucleation of fatigue cracks. For this particular study, the finite elementbased crystal plasticity model was used to inform the design of microstructures and identify desirable meso-scale grain boundary character distributions that could be varied to enhance the fatigue performance of a commercially available Nibased superalloy RR1000.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, microstructure explicit fatigue models for polycrystalline Ni-based superalloys have been developed [33][34][35][36][37][38][39][40] that confirm strain localization around microstructural features, primarily at twin boundaries, prior to nucleation of fatigue cracks. For this particular study, the finite elementbased crystal plasticity model was used to inform the design of microstructures and identify desirable meso-scale grain boundary character distributions that could be varied to enhance the fatigue performance of a commercially available Nibased superalloy RR1000.…”
Section: Introductionmentioning
confidence: 99%
“…These reviews highlight the need to deliver new experimental insight into deformation processes and failure in fatigue to drive modelling that can accurately capture microstructurally-sensitive effects and use geometrically faithful models. These modelling efforts have focused at a range of length and timescales, using approaches such as molecular dynamic simulations [8,9] up to the grain level using crystal plasticity finite element techniques [10][11][12][13][14][15]. This range of approaches necessitates ever increasing fidelity of experimental studies that span length and timescales, such as X-ray synchrotron [16] [17,18] and high energy neutron diffraction [19]; as well as electron microscopy [20,21] microstructurally-sensitive and physically based modelling approaches necessitate local measurements of defect content and residual stresses to improve the prediction of fatigue crack nucleation and short crack growth.…”
Section: Introductionmentioning
confidence: 99%
“…The experimentally observed sites of crack nucleation near a free surface matched those of the persistent slip bands predicted from the crystal plasticity model. Shenoy et al [21] formulated a rate-dependent microstructure-sensitive crystal plasticity model for correlating the mechanical behaviour of a polycrystalline Ni-based superalloy IN 100 at 650°C. The model has the capability to capture the first order effects on the stress-strain response due to grain size, precipitate size distribution, precipitate volume fraction and dislocation density for each slip system.…”
Section: Introductionmentioning
confidence: 99%