Dislocation dynamics simulations of precipitation hardening in Ni-based superalloys with high γ′ volume fraction

Vattré, A.; Devincre, Benoît; Roos, Arjen

doi:10.1016/j.intermet.2009.04.007

Cited by 90 publications

(45 citation statements)

References 22 publications

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“…In the present paper, the KW locks were simulated by considering a KW unlocking stress τ KW , which corresponds to the friction stress τ F in Eq. (9), and is expressed as (Vattré et al 2009):…”

Section: Peach-koehler Force Equations Of Motion and Short-range Intmentioning

confidence: 99%

“…Application of crystal plasticity was also extended to model stress-strain response and fatigue crack nucleation for polycrystalline nickel superalloy (Dunne et al 2007), with microstructure considered as one of the major factors affecting its fatigue and creep properties. The DDD method was applied for simulation of cutting of dislocation pairs into a precipitate phase (Huang et al 2012), prediction of a critical resolved shear stress (CRSS) (Vattré et al 2009), simulation of orientation-dependent mechanical response (Vattré et al 2010), and study of the role of dislocation dissociation in plastic behaviour (Huang and Li 2013) of single-crystal nickel-based superalloys.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modelling plastic deformation in a single-crystal nickel-based superalloy using discrete dislocation dynamics

Lin

Huang

Farukh

et al. 2016

Mech Adv Mater Mod Process

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Background: Nickel-based superalloys are usually exposed to high static or cyclic loads in non-ambient environment, so a reliable prediction of their mechanical properties, especially plastic deformation, at elevated temperature is essential for improved damage-tolerance assessment of components. Methods: In this paper, plastic deformation in a single-crystal nickel-based superalloy CMSX4 at elevated temperature was modelled using discrete dislocation dynamics (DDD). The DDD approach was implemented using a representative volume element with explicitly-introduced precipitate and periodic boundary condition. The DDD model was calibrated using stress-strain response predicted by a crystal plasticity model, validated against tensile and cyclic tests at 850°C for <001 > and <111 > crystallographic orientations, at a strain rate of 1/s. Results: The DDD model was capable to capture the global stress-strain response of the material under both monotonic and cyclic loading conditions. Considerably higher dislocation density was obtained for the <111 > orientation, indicating more plastic deformation and much lower flow stress in the material, when compared to that for <001 > orientation. Dislocation lines looped around the precipitate, and most dislocations were deposited on the surface of precipitate, forming a network of dislocation lines. Simple unloading resulted in a reduction of dislocation density. Conclusions: Plastic deformation in metallic materials is closely related to dynamics of dislocations, and the DDD approach can provide a more fundamental understanding of crystal plasticity and the evolution of heterogeneous dislocation networks, which is useful when considering such issues as the onset of damage in the material during plastic deformation.

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Section: Peach-koehler Force Equations Of Motion and Short-range Intmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling plastic deformation in a single-crystal nickel-based superalloy using discrete dislocation dynamics

Lin

Huang

Farukh

et al. 2016

Mech Adv Mater Mod Process

View full text Add to dashboard Cite

show abstract

“…Their simulation results showed that the CRSS varied with the square root of the precipitate volume fraction. Vattré et al [12] also demonstrated that the CRSS increased strongly with the increase in precipitate volume fraction when the average spacing of precipitates was kept constant. However, the existing 3D DDD simulations are largely limited to monotonic loading condition, without considering the effect of loading reversal.…”

Section: Introductionmentioning

confidence: 92%

“…as a friction stress in the precipitates and corresponds to the term τ F in Equation (2), was used to consider the KW locks and can be expressed as [12]:…”

Section: Peach-kohler Force Calculationmentioning

confidence: 99%

3D DDD modelling of dislocation–precipitate interaction in a nickel-based single crystal superalloy under cyclic deformation

Lin

Huang

Zhao

et al. 2018

Philosophical Magazine

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“…The strengthening contributions from dislocation shearing or bowing around the γ precipitates are modeled taking the microstructure and chemistry of the alloy into account. For these models, the volume fraction and mean radius of γ (V γ f andR γ ) are the needed microstructure parameters [49,54,93] and the anti-phase boundary energy (E AP B ) is an important chemical parameter that determines whether a weak or strong dislocation coupling effect dominates over the dislocations shearing effect [19,20,22]. The models for additional strengthening mechanisms, such as solid solution strengthening and Hall-Petch effect, have also been implemented based on the statistical analyses [49,73].…”

Section: Yield Stressmentioning

confidence: 99%

A Computational Framework for Material Design

Kattner

Campbell

2017

Integr Mater Manuf Innov

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A computational framework is proposed that enables the integration of experimental and computational data, a variety of user-selected models, and a computer algorithm to direct a design optimization. To demonstrate this framework, a sample design of a ternary Ni-Al-Cr alloy with a high work-to-necking ratio is presented. This design example illustrates how CALPHAD phase-based, composition and temperature-dependent phase equilibria calculations and precipitation models are coupled with models for elastic and plastic deformation to calculate the stress-strain curves. A genetic algorithm then directs the search within a specific set of composition and processing constraints for the ideal composition and processing profile to optimize the mechanical properties. The initial demonstration of the framework provides a potential solution to initiate the material design process in a large space of composition and processing conditions. This framework can also be used in similar material systems or adapted for other material classes.Keywords Ni-based superalloy · Integrated computational materials engineering · Genetic algorithm · Material design

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Dislocation dynamics simulations of precipitation hardening in Ni-based superalloys with high γ′ volume fraction

Cited by 90 publications

References 22 publications

Modelling plastic deformation in a single-crystal nickel-based superalloy using discrete dislocation dynamics

Modelling plastic deformation in a single-crystal nickel-based superalloy using discrete dislocation dynamics

3D DDD modelling of dislocation–precipitate interaction in a nickel-based single crystal superalloy under cyclic deformation

A Computational Framework for Material Design

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